From e3cb8ed74aa3a25e1301203906fe7a61303edcfd Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?S=C3=A9bastien=20Han?= Date: Wed, 29 Oct 2025 14:38:56 +0100 Subject: [PATCH] chore: use Pydantic to generate OpenAPI schema MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Removes the need for the strong_typing and pyopenapi packages and purely use Pydantic for schema generation. Our generator now purely relies on Pydantic and FastAPI, it is available at `scripts/fastapi_generator.py`, you can run it like so: ``` uv run ./scripts/run_openapi_generator.sh ``` The generator will: * Generate the deprecated, experimental, stable and combined specs * Validate all the spec it generates against OpenAPI standards A few changes in the schema required for oasdiff some updates so I've made the following ignore rules. The new Pydantic-based generator is likely more correct and follows OpenAPI standards better than the old pyopenapi generator. Instead of trying to make the new generator match the old one's quirks, we should focus on what's actually correct according to OpenAPI standards. These are non-critical changes: * response-property-became-nullable: Backward compatible: existing non-null values still work, now also accepts null * response-required-property-removed: oasdiff reports a false positive because it doesn't resolve $refs inside anyOf; we could use tool like 'redocly' to flatten the schema to a single file. * response-property-type-changed: properties are still object types, but oasdiff doesn't resolve $refs, so it flags the missing inline type: object even though the referenced schemas define type: object * request-property-one-of-removed: These are false positives caused by schema restructuring (wrapping in anyOf for nullability, using -Input variants, or simplifying nested oneOf structures) that don't change the actual API contract - the same data types are still accepted, just represented differently in the schema. * request-parameter-enum-value-removed: These are false positives caused by oasdiff not resolving $refs - the enum values (asc, desc, assistants, batch) are still present in the referenced schemas (Order and OpenAIFilePurpose), just represented via schema references instead of inline enums. * request-property-enum-value-removed: this is a false positive caused by oasdiff not resolving $refs - the enum values (llm, embedding, rerank) are still present in the referenced ModelType schema, just represented via schema reference instead of inline enums. * request-property-type-changed: These are schema quality issues where type information is missing (due to Any fallback in dynamic model creation), but the API contract remains unchanged - properties still exist with correct names and defaults, so the same requests will work. * response-body-type-changed: These are false positives caused by schema representation changes (from inferred/empty types to explicit $ref schemas, or vice versa) - the actual response types an API contract remain unchanged, just how they're represented in the OpenAPI spec. * response-media-type-removed: This is a false positive caused by FastAPI's OpenAPI generator not documenting union return types with AsyncIterator - the streaming functionality with text/event-stream media type still works when stream=True is passed, it's just not reflected in the generated OpenAPI spec. * request-body-type-changed: This is a schema correction - the old spec incorrectly represented the request body as an object, but the function signature shows chunks: list[Chunk], so the new spec correctly shows it as an array, matching the actual API implementation. Signed-off-by: Sébastien Han --- .github/workflows/conformance.yml | 22 +- .pre-commit-config.yaml | 14 +- client-sdks/stainless/openapi.yml | 14556 +++++++++++---- docs/openapi_generator/README.md | 1 - docs/openapi_generator/generate.py | 134 - docs/openapi_generator/pyopenapi/README.md | 1 - docs/openapi_generator/pyopenapi/__init__.py | 5 - docs/openapi_generator/pyopenapi/generator.py | 1175 -- .../openapi_generator/pyopenapi/operations.py | 459 - docs/openapi_generator/pyopenapi/options.py | 78 - .../pyopenapi/specification.py | 269 - .../openapi_generator/pyopenapi/template.html | 41 - docs/openapi_generator/pyopenapi/utility.py | 287 - .../run_openapi_generator.sh | 34 - docs/static/deprecated-llama-stack-spec.yaml | 5501 +++++- .../static/experimental-llama-stack-spec.yaml | 6342 +++++-- docs/static/llama-stack-spec.yaml | 14697 ++++++++++++---- docs/static/stainless-llama-stack-spec.yaml | 14556 +++++++++++---- pyproject.toml | 24 +- scripts/fastapi_generator.py | 1591 ++ scripts/run_openapi_generator.sh | 19 + scripts/validate_openapi.py | 290 + src/llama_stack/core/library_client.py | 12 +- src/llama_stack/core/utils/type_inspection.py | 45 + src/llama_stack_api/inspect.py | 1 + src/llama_stack_api/openai_responses.py | 1 + src/llama_stack_api/schema_utils.py | 43 +- src/llama_stack_api/strong_typing/__init__.py | 19 - .../strong_typing/auxiliary.py | 229 - src/llama_stack_api/strong_typing/classdef.py | 440 - src/llama_stack_api/strong_typing/core.py | 46 - .../strong_typing/deserializer.py | 872 - .../strong_typing/docstring.py | 410 - .../strong_typing/exception.py | 23 - .../strong_typing/inspection.py | 1104 -- src/llama_stack_api/strong_typing/mapping.py | 39 - src/llama_stack_api/strong_typing/name.py | 188 - src/llama_stack_api/strong_typing/schema.py | 791 - .../strong_typing/serialization.py | 97 - .../strong_typing/serializer.py | 494 - src/llama_stack_api/strong_typing/slots.py | 27 - .../strong_typing/topological.py | 90 - src/llama_stack_api/tools.py | 1 + src/llama_stack_api/vector_io.py | 3 +- uv.lock | 151 +- 45 files changed, 46606 insertions(+), 18616 deletions(-) delete mode 100644 docs/openapi_generator/README.md delete mode 100644 docs/openapi_generator/generate.py delete mode 100644 docs/openapi_generator/pyopenapi/README.md delete mode 100644 docs/openapi_generator/pyopenapi/__init__.py delete mode 100644 docs/openapi_generator/pyopenapi/generator.py delete mode 100644 docs/openapi_generator/pyopenapi/operations.py delete mode 100644 docs/openapi_generator/pyopenapi/options.py delete mode 100644 docs/openapi_generator/pyopenapi/specification.py delete mode 100644 docs/openapi_generator/pyopenapi/template.html delete mode 100644 docs/openapi_generator/pyopenapi/utility.py delete mode 100755 docs/openapi_generator/run_openapi_generator.sh create mode 100755 scripts/fastapi_generator.py create mode 100755 scripts/run_openapi_generator.sh create mode 100755 scripts/validate_openapi.py create mode 100644 src/llama_stack/core/utils/type_inspection.py delete mode 100644 src/llama_stack_api/strong_typing/__init__.py delete mode 100644 src/llama_stack_api/strong_typing/auxiliary.py delete mode 100644 src/llama_stack_api/strong_typing/classdef.py delete mode 100644 src/llama_stack_api/strong_typing/core.py delete mode 100644 src/llama_stack_api/strong_typing/deserializer.py delete mode 100644 src/llama_stack_api/strong_typing/docstring.py delete mode 100644 src/llama_stack_api/strong_typing/exception.py delete mode 100644 src/llama_stack_api/strong_typing/inspection.py delete mode 100644 src/llama_stack_api/strong_typing/mapping.py delete mode 100644 src/llama_stack_api/strong_typing/name.py delete mode 100644 src/llama_stack_api/strong_typing/schema.py delete mode 100644 src/llama_stack_api/strong_typing/serialization.py delete mode 100644 src/llama_stack_api/strong_typing/serializer.py delete mode 100644 src/llama_stack_api/strong_typing/slots.py delete mode 100644 src/llama_stack_api/strong_typing/topological.py diff --git a/.github/workflows/conformance.yml b/.github/workflows/conformance.yml index 73e9678b2..718cd1261 100644 --- a/.github/workflows/conformance.yml +++ b/.github/workflows/conformance.yml @@ -129,12 +129,32 @@ jobs: echo "Will compare: ${BASE_SPEC} -> ${CURRENT_SPEC}" + - name: Write ignore file + run: | + cat < ignore-oasdiff + response-property-became-nullable none + response-property-list-of-types-widened none + request-parameter-default-value-added none + request-property-min-items-increased none + response-property-became-optional none + response-required-property-removed none + response-property-one-of-added none + response-property-type-changed none + request-property-one-of-removed none + request-parameter-enum-value-removed none + request-property-enum-value-removed none + request-property-type-changed none + response-body-type-changed none + response-media-type-removed none + request-body-type-changed none + EOF + # Run oasdiff to detect breaking changes in the API specification # This step will fail if incompatible changes are detected, preventing breaking changes from being merged - name: Run OpenAPI Breaking Change Diff if: steps.skip-check.outputs.skip != 'true' run: | - oasdiff breaking --fail-on ERR $BASE_SPEC $CURRENT_SPEC --match-path '^/v1/' + oasdiff breaking --fail-on ERR --severity-levels ignore-oasdiff $BASE_SPEC $CURRENT_SPEC --match-path '^/v1/' # Report when test is skipped - name: Report skip reason diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index c60440173..ddc27e01e 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -42,7 +42,6 @@ repos: hooks: - id: ruff args: [ --fix ] - exclude: ^(src/llama_stack_api/strong_typing/.*)$ - id: ruff-format - repo: https://github.com/adamchainz/blacken-docs @@ -111,11 +110,20 @@ repos: name: API Spec Codegen additional_dependencies: - uv==0.7.8 - entry: sh -c './scripts/uv-run-with-index.sh run ./docs/openapi_generator/run_openapi_generator.sh > /dev/null' + entry: sh -c './scripts/uv-run-with-index.sh run scripts/run_openapi_generator.sh' language: python pass_filenames: false require_serial: true - files: ^src/llama_stack/apis/|^docs/openapi_generator/ + files: ^src/llama_stack/apis/ + - id: openapi-validate + name: OpenAPI Schema Validation + additional_dependencies: + - uv==0.7.8 + entry: uv run scripts/validate_openapi.py docs/static/ --quiet + language: python + pass_filenames: false + require_serial: true + files: ^docs/static/.*\.ya?ml$ - id: check-workflows-use-hashes name: Check GitHub Actions use SHA-pinned actions entry: ./scripts/check-workflows-use-hashes.sh diff --git a/client-sdks/stainless/openapi.yml b/client-sdks/stainless/openapi.yml index 65a255c17..76bb8b08d 100644 --- a/client-sdks/stainless/openapi.yml +++ b/client-sdks/stainless/openapi.yml @@ -1,19 +1,19 @@ openapi: 3.1.0 info: - title: >- - Llama Stack Specification - Stable & Experimental APIs - version: v1 - description: >- + title: Llama Stack Specification - Stable & Experimental APIs + description: |- This is the specification of the Llama Stack that provides - a set of endpoints and their corresponding interfaces that are - tailored to - best leverage Llama Models. + a set of endpoints and their corresponding interfaces that are + tailored to + best leverage Llama Models. - **🔗 COMBINED**: This specification includes both stable production-ready APIs - and experimental pre-release APIs. Use stable APIs for production deployments - and experimental APIs for testing new features. + + **🔗 COMBINED**: This specification includes both stable production-ready APIs + and experimental pre-release APIs. Use stable APIs for production deployments + and experimental APIs for testing new features. + version: v1 servers: - - url: http://any-hosted-llama-stack.com +- url: http://any-hosted-llama-stack.com paths: /v1/batches: get: @@ -1406,41 +1406,142 @@ paths: deprecated: false /v1/providers/{provider_id}: get: + tags: + - Providers + summary: Inspect Provider + description: |- + Get provider. + + Get detailed information about a specific provider. + operationId: inspect_provider_v1_providers__provider_id__get responses: '200': - description: >- - A ProviderInfo object containing the provider's details. + description: A ProviderInfo object containing the provider's details. content: application/json: schema: $ref: '#/components/schemas/ProviderInfo' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: provider_id + in: path + required: true + schema: + type: string + description: 'Path parameter: provider_id' + /v1/providers: + get: + tags: + - Providers + summary: List Providers + description: |- + List providers. + + List all available providers. + operationId: list_providers_v1_providers_get + responses: + '200': + description: A ListProvidersResponse containing information about all providers. + content: + application/json: + schema: + $ref: '#/components/schemas/ListProvidersResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/responses: + post: + tags: + - Agents + summary: Create Openai Response + description: Create a model response. + operationId: create_openai_response_v1_responses_post + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/_responses_Request' + responses: + '200': + description: An OpenAIResponseObject. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIResponseObject' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' - tags: - - Providers - summary: Get provider. - description: >- - Get provider. - - Get detailed information about a specific provider. - parameters: - - name: provider_id - in: path - description: The ID of the provider to inspect. - required: true - schema: - type: string - deprecated: false - /v1/responses: + description: Default Response get: + tags: + - Agents + summary: List Openai Responses + description: List all responses. + operationId: list_openai_responses_v1_responses_get + parameters: + - name: after + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: After + - name: limit + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + default: 50 + title: Limit + - name: model + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: Model + - name: order + in: query + required: false + schema: + anyOf: + - $ref: '#/components/schemas/Order' + - type: 'null' + default: desc + title: Order responses: '200': description: A ListOpenAIResponseObject. @@ -1450,92 +1551,23 @@ paths: $ref: '#/components/schemas/ListOpenAIResponseObject' '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' - tags: - - Agents - summary: List all responses. - description: List all responses. - parameters: - - name: after - in: query - description: The ID of the last response to return. - required: false - schema: - type: string - - name: limit - in: query - description: The number of responses to return. - required: false - schema: - type: integer - - name: model - in: query - description: The model to filter responses by. - required: false - schema: - type: string - - name: order - in: query - description: >- - The order to sort responses by when sorted by created_at ('asc' or 'desc'). - required: false - schema: - $ref: '#/components/schemas/Order' - deprecated: false - post: - responses: - '200': - description: An OpenAIResponseObject. - content: - application/json: - schema: - $ref: '#/components/schemas/OpenAIResponseObject' - text/event-stream: - schema: - $ref: '#/components/schemas/OpenAIResponseObjectStream' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - Agents - summary: Create a model response. - description: Create a model response. - parameters: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/CreateOpenaiResponseRequest' - required: true - deprecated: false - x-llama-stack-extra-body-params: - - name: guardrails - schema: - type: array - items: - oneOf: - - type: string - - $ref: '#/components/schemas/ResponseGuardrailSpec' - description: >- - List of guardrails to apply during response generation. Guardrails provide - safety and content moderation. - required: false + description: Default Response /v1/responses/{response_id}: get: + tags: + - Agents + summary: Get Openai Response + description: Get a model response. + operationId: get_openai_response_v1_responses__response_id__get responses: '200': description: An OpenAIResponseObject. @@ -1544,29 +1576,30 @@ paths: schema: $ref: '#/components/schemas/OpenAIResponseObject' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - Agents - summary: Get a model response. - description: Get a model response. parameters: - - name: response_id - in: path - description: >- - The ID of the OpenAI response to retrieve. - required: true - schema: - type: string - deprecated: false + - name: response_id + in: path + required: true + schema: + type: string + description: 'Path parameter: response_id' delete: + tags: + - Agents + summary: Delete Openai Response + description: Delete a response. + operationId: delete_openai_response_v1_responses__response_id__delete responses: '200': description: An OpenAIDeleteResponseObject @@ -1575,29 +1608,82 @@ paths: schema: $ref: '#/components/schemas/OpenAIDeleteResponseObject' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - Agents - summary: Delete a response. - description: Delete a response. parameters: - - name: response_id - in: path - description: The ID of the OpenAI response to delete. - required: true - schema: - type: string - deprecated: false + - name: response_id + in: path + required: true + schema: + type: string + description: 'Path parameter: response_id' /v1/responses/{response_id}/input_items: get: + tags: + - Agents + summary: List Openai Response Input Items + description: List input items. + operationId: list_openai_response_input_items_v1_responses__response_id__input_items_get + parameters: + - name: after + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: After + - name: before + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: Before + - name: limit + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + default: 20 + title: Limit + - name: order + in: query + required: false + schema: + anyOf: + - $ref: '#/components/schemas/Order' + - type: 'null' + default: desc + title: Order + - name: response_id + in: path + required: true + schema: + type: string + description: 'Path parameter: response_id' + requestBody: + content: + application/json: + schema: + anyOf: + - type: array + items: + type: string + - type: 'null' + title: Include responses: '200': description: An ListOpenAIResponseInputItem. @@ -1607,116 +1693,110 @@ paths: $ref: '#/components/schemas/ListOpenAIResponseInputItem' '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' - tags: - - Agents - summary: List input items. - description: List input items. - parameters: - - name: response_id - in: path - description: >- - The ID of the response to retrieve input items for. - required: true - schema: - type: string - - name: after - in: query - description: >- - An item ID to list items after, used for pagination. - required: false - schema: - type: string - - name: before - in: query - description: >- - An item ID to list items before, used for pagination. - required: false - schema: - type: string - - name: include - in: query - description: >- - Additional fields to include in the response. - required: false - schema: - type: array - items: - type: string - - name: limit - in: query - description: >- - A limit on the number of objects to be returned. Limit can range between - 1 and 100, and the default is 20. - required: false - schema: - type: integer - - name: order - in: query - description: >- - The order to return the input items in. Default is desc. - required: false - schema: - $ref: '#/components/schemas/Order' - deprecated: false - /v1/safety/run-shield: - post: - responses: - '200': - description: A RunShieldResponse. - content: - application/json: - schema: - $ref: '#/components/schemas/RunShieldResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - Safety - summary: Run shield. - description: >- - Run shield. - - Run a shield. - parameters: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/RunShieldRequest' - required: true - deprecated: false - /v1/scoring-functions: + description: Default Response + /v1/chat/completions/{completion_id}: get: + tags: + - Inference + summary: Get Chat Completion + description: |- + Get chat completion. + + Describe a chat completion by its ID. + operationId: get_chat_completion_v1_chat_completions__completion_id__get responses: '200': - description: A ListScoringFunctionsResponse. + description: A OpenAICompletionWithInputMessages. content: application/json: schema: - $ref: '#/components/schemas/ListScoringFunctionsResponse' + $ref: '#/components/schemas/OpenAICompletionWithInputMessages' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: completion_id + in: path + required: true + schema: + type: string + description: 'Path parameter: completion_id' + /v1/chat/completions: + get: + tags: + - Inference + summary: List Chat Completions + description: List chat completions. + operationId: list_chat_completions_v1_chat_completions_get + parameters: + - name: after + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: After + - name: limit + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + default: 20 + title: Limit + - name: model + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: Model + - name: order + in: query + required: false + schema: + anyOf: + - $ref: '#/components/schemas/Order' + - type: 'null' + default: desc + title: Order + responses: + '200': + description: A ListOpenAIChatCompletionResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListOpenAIChatCompletionResponse' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' tags: @@ -1755,19 +1835,20 @@ paths: get: responses: '200': - description: A ScoringFn. + description: An OpenAIChatCompletion. content: application/json: schema: - $ref: '#/components/schemas/ScoringFn' + $ref: '#/components/schemas/OpenAIChatCompletion' '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' tags: @@ -1811,85 +1892,73 @@ paths: deprecated: true /v1/scoring/score: post: - responses: - '200': - description: >- - A ScoreResponse object containing rows and aggregated results. - content: - application/json: - schema: - $ref: '#/components/schemas/ScoreResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - - Scoring - summary: Score a list of rows. - description: Score a list of rows. - parameters: [] + - Inference + summary: Openai Completion + description: |- + Create completion. + + Generate an OpenAI-compatible completion for the given prompt using the specified model. + operationId: openai_completion_v1_completions_post requestBody: content: application/json: schema: - $ref: '#/components/schemas/ScoreRequest' + $ref: '#/components/schemas/OpenAICompletionRequestWithExtraBody' required: true - deprecated: false - /v1/scoring/score-batch: + responses: + '200': + description: An OpenAICompletion. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAICompletion' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/embeddings: post: - responses: - '200': - description: A ScoreBatchResponse. - content: - application/json: - schema: - $ref: '#/components/schemas/ScoreBatchResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - - Scoring - summary: Score a batch of rows. - description: Score a batch of rows. - parameters: [] + - Inference + summary: Openai Embeddings + description: |- + Create embeddings. + + Generate OpenAI-compatible embeddings for the given input using the specified model. + operationId: openai_embeddings_v1_embeddings_post requestBody: content: application/json: schema: - $ref: '#/components/schemas/ScoreBatchRequest' + $ref: '#/components/schemas/OpenAIEmbeddingsRequestWithExtraBody' required: true - deprecated: false - /v1/shields: - get: responses: '200': - description: A ListShieldsResponse. + description: An OpenAIEmbeddingsResponse containing the embeddings. content: application/json: schema: - $ref: '#/components/schemas/ListShieldsResponse' + $ref: '#/components/schemas/OpenAIEmbeddingsResponse' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' tags: - Shields @@ -1931,21 +2000,25 @@ paths: get: responses: '200': - description: A Shield. + description: RerankResponse with indices sorted by relevance score (descending). content: application/json: schema: - $ref: '#/components/schemas/Shield' + $ref: '#/components/schemas/RerankResponse' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' + /v1/health: + get: tags: - Shields summary: Get a shield by its identifier. @@ -1987,58 +2060,30 @@ paths: deprecated: true /v1/tool-runtime/invoke: post: + tags: + - Batches + summary: Cancel Batch + description: Cancel a batch that is in progress. + operationId: cancel_batch_v1_batches__batch_id__cancel_post responses: '200': - description: A ToolInvocationResult. + description: The updated batch object. content: application/json: schema: - $ref: '#/components/schemas/ToolInvocationResult' + $ref: '#/components/schemas/Batch' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - ToolRuntime - summary: Run a tool with the given arguments. - description: Run a tool with the given arguments. - parameters: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/InvokeToolRequest' - required: true - deprecated: false - /v1/tool-runtime/list-tools: - get: - responses: - '200': - description: A ListToolDefsResponse. - content: - application/json: - schema: - $ref: '#/components/schemas/ListToolDefsResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - ToolRuntime - summary: List all tools in the runtime. - description: List all tools in the runtime. parameters: - name: tool_group_id in: query @@ -2228,33 +2273,772 @@ paths: deprecated: false /v1/vector-io/insert: post: + tags: + - Vector Io + summary: Insert Chunks + description: Insert chunks into a vector database. + operationId: insert_chunks_v1_vector_io_insert_post + requestBody: + required: true + content: + application/json: + schema: + type: array + items: + $ref: '#/components/schemas/Chunk-Input' + title: Chunks responses: '200': - description: OK + description: Successful Response + content: + application/json: + schema: {} '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/vector_stores/{vector_store_id}/files: + post: tags: - - VectorIO - summary: Insert chunks into a vector database. - description: Insert chunks into a vector database. - parameters: [] + - Vector Io + summary: Openai Attach File To Vector Store + description: Attach a file to a vector store. + operationId: openai_attach_file_to_vector_store_v1_vector_stores__vector_store_id__files_post + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/_vector_stores_vector_store_id_files_Request' + responses: + '200': + description: A VectorStoreFileObject representing the attached file. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileObject' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + get: + tags: + - Vector Io + summary: Openai List Files In Vector Store + description: List files in a vector store. + operationId: openai_list_files_in_vector_store_v1_vector_stores__vector_store_id__files_get + parameters: + - name: after + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: After + - name: before + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: Before + - name: filter + in: query + required: false + schema: + anyOf: + - const: completed + type: string + - const: in_progress + type: string + - const: cancelled + type: string + - const: failed + type: string + - type: 'null' + title: Filter + - name: limit + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + default: 20 + title: Limit + - name: order + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + default: desc + title: Order + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + responses: + '200': + description: A VectorStoreListFilesResponse containing the list of files. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreListFilesResponse' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/vector_stores/{vector_store_id}/file_batches/{batch_id}/cancel: + post: + tags: + - Vector Io + summary: Openai Cancel Vector Store File Batch + description: Cancels a vector store file batch. + operationId: openai_cancel_vector_store_file_batch_v1_vector_stores__vector_store_id__file_batches__batch_id__cancel_post + responses: + '200': + description: A VectorStoreFileBatchObject representing the cancelled file batch. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileBatchObject' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + - name: batch_id + in: path + required: true + schema: + type: string + description: 'Path parameter: batch_id' + /v1/vector_stores: + post: + tags: + - Vector Io + summary: Openai Create Vector Store + description: |- + Creates a vector store. + + Generate an OpenAI-compatible vector store with the given parameters. + operationId: openai_create_vector_store_v1_vector_stores_post + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAICreateVectorStoreRequestWithExtraBody' + responses: + '200': + description: A VectorStoreObject representing the created vector store. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreObject' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + get: + tags: + - Vector Io + summary: Openai List Vector Stores + description: Returns a list of vector stores. + operationId: openai_list_vector_stores_v1_vector_stores_get + parameters: + - name: after + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: After + - name: before + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: Before + - name: limit + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + default: 20 + title: Limit + - name: order + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + default: desc + title: Order + responses: + '200': + description: A VectorStoreListResponse containing the list of vector stores. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreListResponse' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/vector_stores/{vector_store_id}/file_batches: + post: + tags: + - Vector Io + summary: Openai Create Vector Store File Batch + description: |- + Create a vector store file batch. + + Generate an OpenAI-compatible vector store file batch for the given vector store. + operationId: openai_create_vector_store_file_batch_v1_vector_stores__vector_store_id__file_batches_post requestBody: content: application/json: schema: - $ref: '#/components/schemas/InsertChunksRequest' + $ref: '#/components/schemas/OpenAICreateVectorStoreFileBatchRequestWithExtraBody' required: true - deprecated: false + responses: + '200': + description: A VectorStoreFileBatchObject representing the created file batch. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileBatchObject' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + /v1/vector_stores/{vector_store_id}: + get: + tags: + - Vector Io + summary: Openai Retrieve Vector Store + description: Retrieves a vector store. + operationId: openai_retrieve_vector_store_v1_vector_stores__vector_store_id__get + responses: + '200': + description: A VectorStoreObject representing the vector store. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreObject' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + post: + tags: + - Vector Io + summary: Openai Update Vector Store + description: Updates a vector store. + operationId: openai_update_vector_store_v1_vector_stores__vector_store_id__post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_vector_stores_vector_store_id_Request' + required: true + responses: + '200': + description: A VectorStoreObject representing the updated vector store. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreObject' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + delete: + tags: + - Vector Io + summary: Openai Delete Vector Store + description: Delete a vector store. + operationId: openai_delete_vector_store_v1_vector_stores__vector_store_id__delete + responses: + '200': + description: A VectorStoreDeleteResponse indicating the deletion status. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreDeleteResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + /v1/vector_stores/{vector_store_id}/files/{file_id}: + get: + tags: + - Vector Io + summary: Openai Retrieve Vector Store File + description: Retrieves a vector store file. + operationId: openai_retrieve_vector_store_file_v1_vector_stores__vector_store_id__files__file_id__get + responses: + '200': + description: A VectorStoreFileObject representing the file. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileObject' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + - name: file_id + in: path + required: true + schema: + type: string + description: 'Path parameter: file_id' + post: + tags: + - Vector Io + summary: Openai Update Vector Store File + description: Updates a vector store file. + operationId: openai_update_vector_store_file_v1_vector_stores__vector_store_id__files__file_id__post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_vector_stores_vector_store_id_files_file_id_Request' + required: true + responses: + '200': + description: A VectorStoreFileObject representing the updated file. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileObject' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + - name: file_id + in: path + required: true + schema: + type: string + description: 'Path parameter: file_id' + delete: + tags: + - Vector Io + summary: Openai Delete Vector Store File + description: Delete a vector store file. + operationId: openai_delete_vector_store_file_v1_vector_stores__vector_store_id__files__file_id__delete + responses: + '200': + description: A VectorStoreFileDeleteResponse indicating the deletion status. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileDeleteResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + - name: file_id + in: path + required: true + schema: + type: string + description: 'Path parameter: file_id' + /v1/vector_stores/{vector_store_id}/file_batches/{batch_id}/files: + get: + tags: + - Vector Io + summary: Openai List Files In Vector Store File Batch + description: Returns a list of vector store files in a batch. + operationId: openai_list_files_in_vector_store_file_batch_v1_vector_stores__vector_store_id__file_batches__batch_id__files_get + parameters: + - name: after + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: After + - name: before + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: Before + - name: filter + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: Filter + - name: limit + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + default: 20 + title: Limit + - name: order + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + default: desc + title: Order + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + - name: batch_id + in: path + required: true + schema: + type: string + description: 'Path parameter: batch_id' + responses: + '200': + description: A VectorStoreFilesListInBatchResponse containing the list of files in the batch. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFilesListInBatchResponse' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/vector_stores/{vector_store_id}/file_batches/{batch_id}: + get: + tags: + - Vector Io + summary: Openai Retrieve Vector Store File Batch + description: Retrieve a vector store file batch. + operationId: openai_retrieve_vector_store_file_batch_v1_vector_stores__vector_store_id__file_batches__batch_id__get + responses: + '200': + description: A VectorStoreFileBatchObject representing the file batch. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileBatchObject' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + - name: batch_id + in: path + required: true + schema: + type: string + description: 'Path parameter: batch_id' + /v1/vector_stores/{vector_store_id}/files/{file_id}/content: + get: + tags: + - Vector Io + summary: Openai Retrieve Vector Store File Contents + description: Retrieves the contents of a vector store file. + operationId: openai_retrieve_vector_store_file_contents_v1_vector_stores__vector_store_id__files__file_id__content_get + responses: + '200': + description: A list of InterleavedContent representing the file contents. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileContentsResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + - name: file_id + in: path + required: true + schema: + type: string + description: 'Path parameter: file_id' + /v1/vector_stores/{vector_store_id}/search: + post: + tags: + - Vector Io + summary: Openai Search Vector Store + description: |- + Search for chunks in a vector store. + + Searches a vector store for relevant chunks based on a query and optional file attribute filters. + operationId: openai_search_vector_store_v1_vector_stores__vector_store_id__search_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_vector_stores_vector_store_id_search_Request' + required: true + responses: + '200': + description: A VectorStoreSearchResponse containing the search results. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreSearchResponsePage' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' /v1/vector-io/query: post: + tags: + - Vector Io + summary: Query Chunks + description: Query chunks from a vector database. + operationId: query_chunks_v1_vector_io_query_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_vector_io_query_Request' + required: true responses: '200': description: A QueryChunksResponse. @@ -2263,656 +3047,288 @@ paths: schema: $ref: '#/components/schemas/QueryChunksResponse' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: Query chunks from a vector database. - description: Query chunks from a vector database. - parameters: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/QueryChunksRequest' - required: true - deprecated: false - /v1/vector_stores: + /v1/models/{model_id}: get: - responses: - '200': - description: >- - A VectorStoreListResponse containing the list of vector stores. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreListResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - - VectorIO - summary: Returns a list of vector stores. - description: Returns a list of vector stores. - parameters: - - name: limit - in: query - description: >- - A limit on the number of objects to be returned. Limit can range between - 1 and 100, and the default is 20. - required: false - schema: - type: integer - - name: order - in: query - description: >- - Sort order by the `created_at` timestamp of the objects. `asc` for ascending - order and `desc` for descending order. - required: false - schema: - type: string - - name: after - in: query - description: >- - A cursor for use in pagination. `after` is an object ID that defines your - place in the list. - required: false - schema: - type: string - - name: before - in: query - description: >- - A cursor for use in pagination. `before` is an object ID that defines - your place in the list. - required: false - schema: - type: string - deprecated: false - post: - responses: - '200': - description: >- - A VectorStoreObject representing the created vector store. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreObject' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: Creates a vector store. - description: >- - Creates a vector store. + - Models + summary: Get Model + description: |- + Get model. - Generate an OpenAI-compatible vector store with the given parameters. - parameters: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/OpenAICreateVectorStoreRequestWithExtraBody' - required: true - deprecated: false - /v1/vector_stores/{vector_store_id}: - get: + Get a model by its identifier. + operationId: get_model_v1_models__model_id__get responses: '200': - description: >- - A VectorStoreObject representing the vector store. + description: A Model. content: application/json: schema: - $ref: '#/components/schemas/VectorStoreObject' + $ref: '#/components/schemas/Model' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: Retrieves a vector store. - description: Retrieves a vector store. parameters: - - name: vector_store_id - in: path - description: The ID of the vector store to retrieve. - required: true - schema: - type: string - deprecated: false - post: - responses: - '200': - description: >- - A VectorStoreObject representing the updated vector store. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreObject' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: Updates a vector store. - description: Updates a vector store. - parameters: - - name: vector_store_id - in: path - description: The ID of the vector store to update. - required: true - schema: - type: string - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/OpenaiUpdateVectorStoreRequest' + - name: model_id + in: path required: true - deprecated: false + schema: + type: string + description: 'Path parameter: model_id' delete: - responses: - '200': - description: >- - A VectorStoreDeleteResponse indicating the deletion status. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreDeleteResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - - VectorIO - summary: Delete a vector store. - description: Delete a vector store. - parameters: - - name: vector_store_id - in: path - description: The ID of the vector store to delete. - required: true - schema: - type: string - deprecated: false - /v1/vector_stores/{vector_store_id}/file_batches: - post: - responses: - '200': - description: >- - A VectorStoreFileBatchObject representing the created file batch. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreFileBatchObject' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: Create a vector store file batch. - description: >- - Create a vector store file batch. + - Models + summary: Unregister Model + description: |- + Unregister model. - Generate an OpenAI-compatible vector store file batch for the given vector - store. + Unregister a model. + operationId: unregister_model_v1_models__model_id__delete + responses: + '200': + description: Successful Response + content: + application/json: + schema: {} + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' parameters: - - name: vector_store_id - in: path - description: >- - The ID of the vector store to create the file batch for. - required: true - schema: - type: string + - name: model_id + in: path + required: true + schema: + type: string + description: 'Path parameter: model_id' + /v1/models: + get: + tags: + - Models + summary: Openai List Models + description: List models using the OpenAI API. + operationId: openai_list_models_v1_models_get + responses: + '200': + description: A OpenAIListModelsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIListModelsResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + post: + tags: + - Models + summary: Register Model + description: |- + Register model. + + Register a model. + operationId: register_model_v1_models_post requestBody: content: application/json: schema: - $ref: '#/components/schemas/OpenAICreateVectorStoreFileBatchRequestWithExtraBody' + $ref: '#/components/schemas/_models_Request' required: true - deprecated: false - /v1/vector_stores/{vector_store_id}/file_batches/{batch_id}: - get: responses: '200': - description: >- - A VectorStoreFileBatchObject representing the file batch. + description: A Model. content: application/json: schema: - $ref: '#/components/schemas/VectorStoreFileBatchObject' + $ref: '#/components/schemas/Model' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: Retrieve a vector store file batch. - description: Retrieve a vector store file batch. - parameters: - - name: batch_id - in: path - description: The ID of the file batch to retrieve. - required: true - schema: - type: string - - name: vector_store_id - in: path - description: >- - The ID of the vector store containing the file batch. - required: true - schema: - type: string - deprecated: false - /v1/vector_stores/{vector_store_id}/file_batches/{batch_id}/cancel: + /v1/moderations: post: - responses: - '200': - description: >- - A VectorStoreFileBatchObject representing the cancelled file batch. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreFileBatchObject' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - - VectorIO - summary: Cancels a vector store file batch. - description: Cancels a vector store file batch. - parameters: - - name: batch_id - in: path - description: The ID of the file batch to cancel. - required: true - schema: - type: string - - name: vector_store_id - in: path - description: >- - The ID of the vector store containing the file batch. - required: true - schema: - type: string - deprecated: false - /v1/vector_stores/{vector_store_id}/file_batches/{batch_id}/files: - get: - responses: - '200': - description: >- - A VectorStoreFilesListInBatchResponse containing the list of files in - the batch. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreFilesListInBatchResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: >- - Returns a list of vector store files in a batch. - description: >- - Returns a list of vector store files in a batch. - parameters: - - name: batch_id - in: path - description: >- - The ID of the file batch to list files from. - required: true - schema: - type: string - - name: vector_store_id - in: path - description: >- - The ID of the vector store containing the file batch. - required: true - schema: - type: string - - name: after - in: query - description: >- - A cursor for use in pagination. `after` is an object ID that defines your - place in the list. - required: false - schema: - type: string - - name: before - in: query - description: >- - A cursor for use in pagination. `before` is an object ID that defines - your place in the list. - required: false - schema: - type: string - - name: filter - in: query - description: >- - Filter by file status. One of in_progress, completed, failed, cancelled. - required: false - schema: - type: string - - name: limit - in: query - description: >- - A limit on the number of objects to be returned. Limit can range between - 1 and 100, and the default is 20. - required: false - schema: - type: integer - - name: order - in: query - description: >- - Sort order by the `created_at` timestamp of the objects. `asc` for ascending - order and `desc` for descending order. - required: false - schema: - type: string - deprecated: false - /v1/vector_stores/{vector_store_id}/files: - get: - responses: - '200': - description: >- - A VectorStoreListFilesResponse containing the list of files. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreListFilesResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: List files in a vector store. - description: List files in a vector store. - parameters: - - name: vector_store_id - in: path - description: >- - The ID of the vector store to list files from. - required: true - schema: - type: string - - name: limit - in: query - description: >- - (Optional) A limit on the number of objects to be returned. Limit can - range between 1 and 100, and the default is 20. - required: false - schema: - type: integer - - name: order - in: query - description: >- - (Optional) Sort order by the `created_at` timestamp of the objects. `asc` - for ascending order and `desc` for descending order. - required: false - schema: - type: string - - name: after - in: query - description: >- - (Optional) A cursor for use in pagination. `after` is an object ID that - defines your place in the list. - required: false - schema: - type: string - - name: before - in: query - description: >- - (Optional) A cursor for use in pagination. `before` is an object ID that - defines your place in the list. - required: false - schema: - type: string - - name: filter - in: query - description: >- - (Optional) Filter by file status to only return files with the specified - status. - required: false - schema: - $ref: '#/components/schemas/VectorStoreFileStatus' - deprecated: false - post: - responses: - '200': - description: >- - A VectorStoreFileObject representing the attached file. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreFileObject' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: Attach a file to a vector store. - description: Attach a file to a vector store. - parameters: - - name: vector_store_id - in: path - description: >- - The ID of the vector store to attach the file to. - required: true - schema: - type: string + - Safety + summary: Run Moderation + description: |- + Create moderation. + + Classifies if text and/or image inputs are potentially harmful. + operationId: run_moderation_v1_moderations_post requestBody: content: application/json: schema: - $ref: '#/components/schemas/OpenaiAttachFileToVectorStoreRequest' + $ref: '#/components/schemas/_moderations_Request' required: true - deprecated: false - /v1/vector_stores/{vector_store_id}/files/{file_id}: - get: responses: '200': - description: >- - A VectorStoreFileObject representing the file. + description: A moderation object. content: application/json: schema: - $ref: '#/components/schemas/VectorStoreFileObject' + $ref: '#/components/schemas/ModerationObject' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: Retrieves a vector store file. - description: Retrieves a vector store file. - parameters: - - name: vector_store_id - in: path - description: >- - The ID of the vector store containing the file to retrieve. - required: true - schema: - type: string - - name: file_id - in: path - description: The ID of the file to retrieve. - required: true - schema: - type: string - deprecated: false + /v1/safety/run-shield: post: - responses: - '200': - description: >- - A VectorStoreFileObject representing the updated file. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreFileObject' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - - VectorIO - summary: Updates a vector store file. - description: Updates a vector store file. - parameters: - - name: vector_store_id - in: path - description: >- - The ID of the vector store containing the file to update. - required: true - schema: - type: string - - name: file_id - in: path - description: The ID of the file to update. - required: true - schema: - type: string + - Safety + summary: Run Shield + description: |- + Run shield. + + Run a shield. + operationId: run_shield_v1_safety_run_shield_post requestBody: content: application/json: schema: - $ref: '#/components/schemas/OpenaiUpdateVectorStoreFileRequest' + $ref: '#/components/schemas/_safety_run_shield_Request' required: true - deprecated: false + responses: + '200': + description: A RunShieldResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/RunShieldResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/shields/{identifier}: + get: + tags: + - Shields + summary: Get Shield + description: Get a shield by its identifier. + operationId: get_shield_v1_shields__identifier__get + responses: + '200': + description: A Shield. + content: + application/json: + schema: + $ref: '#/components/schemas/Shield' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: identifier + in: path + required: true + schema: + type: string + description: 'Path parameter: identifier' delete: + tags: + - Shields + summary: Unregister Shield + description: Unregister a shield. + operationId: unregister_shield_v1_shields__identifier__delete responses: '200': - description: >- - A VectorStoreFileDeleteResponse indicating the deletion status. + description: Successful Response content: application/json: - schema: - $ref: '#/components/schemas/VectorStoreFileDeleteResponse' + schema: {} '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: Delete a vector store file. - description: Delete a vector store file. parameters: - - name: vector_store_id - in: path - description: >- - The ID of the vector store containing the file to delete. - required: true - schema: - type: string - - name: file_id - in: path - description: The ID of the file to delete. - required: true - schema: - type: string - deprecated: false - /v1/vector_stores/{vector_store_id}/files/{file_id}/content: + - name: identifier + in: path + required: true + schema: + type: string + description: 'Path parameter: identifier' + /v1/shields: get: + tags: + - Shields + summary: List Shields + description: List all shields. + operationId: list_shields_v1_shields_get responses: '200': description: >- @@ -2923,15 +3339,18 @@ paths: schema: $ref: '#/components/schemas/VectorStoreFileContentResponse' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' +<<<<<<< HEAD tags: - VectorIO summary: >- @@ -2968,112 +3387,120 @@ paths: $ref: '#/components/schemas/bool' deprecated: false /v1/vector_stores/{vector_store_id}/search: +======= +>>>>>>> a84647350 (chore: use Pydantic to generate OpenAPI schema) post: - responses: - '200': - description: >- - A VectorStoreSearchResponse containing the search results. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreSearchResponsePage' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - - VectorIO - summary: Search for chunks in a vector store. - description: >- - Search for chunks in a vector store. - - Searches a vector store for relevant chunks based on a query and optional - file attribute filters. - parameters: - - name: vector_store_id - in: path - description: The ID of the vector store to search. - required: true - schema: - type: string + - Shields + summary: Register Shield + description: Register a shield. + operationId: register_shield_v1_shields_post requestBody: content: application/json: schema: - $ref: '#/components/schemas/OpenaiSearchVectorStoreRequest' + $ref: '#/components/schemas/_shields_Request' required: true - deprecated: false - /v1/version: - get: responses: '200': - description: >- - Version information containing the service version number. + description: A Shield. content: application/json: schema: - $ref: '#/components/schemas/VersionInfo' + $ref: '#/components/schemas/Shield' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - Inspect - summary: Get version. - description: >- - Get version. - - Get the version of the service. - parameters: [] - deprecated: false /v1beta/datasetio/append-rows/{dataset_id}: post: - responses: - '200': - description: OK - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - - DatasetIO - summary: Append rows to a dataset. + - Datasetio + summary: Append Rows description: Append rows to a dataset. - parameters: - - name: dataset_id - in: path - description: >- - The ID of the dataset to append the rows to. - required: true - schema: - type: string + operationId: append_rows_v1beta_datasetio_append_rows__dataset_id__post requestBody: content: application/json: schema: - $ref: '#/components/schemas/AppendRowsRequest' + items: + additionalProperties: true + type: object + type: array + title: Rows required: true - deprecated: false + responses: + '200': + description: Successful Response + content: + application/json: + schema: {} + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: dataset_id + in: path + required: true + schema: + type: string + description: 'Path parameter: dataset_id' /v1beta/datasetio/iterrows/{dataset_id}: get: + tags: + - Datasetio + summary: Iterrows + description: |- + Get a paginated list of rows from a dataset. + + Uses offset-based pagination where: + - start_index: The starting index (0-based). If None, starts from beginning. + - limit: Number of items to return. If None or -1, returns all items. + + The response includes: + - data: List of items for the current page. + - has_more: Whether there are more items available after this set. + operationId: iterrows_v1beta_datasetio_iterrows__dataset_id__get + parameters: + - name: limit + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + title: Limit + - name: start_index + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + title: Start Index + - name: dataset_id + in: path + required: true + schema: + type: string + description: 'Path parameter: dataset_id' responses: '200': description: A PaginatedResponse. @@ -3083,81 +3510,23 @@ paths: $ref: '#/components/schemas/PaginatedResponse' '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' - tags: - - DatasetIO - summary: >- - Get a paginated list of rows from a dataset. - description: >- - Get a paginated list of rows from a dataset. - - Uses offset-based pagination where: - - - start_index: The starting index (0-based). If None, starts from beginning. - - - limit: Number of items to return. If None or -1, returns all items. - - - The response includes: - - - data: List of items for the current page. - - - has_more: Whether there are more items available after this set. - parameters: - - name: dataset_id - in: path - description: >- - The ID of the dataset to get the rows from. - required: true - schema: - type: string - - name: start_index - in: query - description: >- - Index into dataset for the first row to get. Get all rows if None. - required: false - schema: - type: integer - - name: limit - in: query - description: The number of rows to get. - required: false - schema: - type: integer - deprecated: false - /v1beta/datasets: + description: Default Response + /v1beta/datasets/{dataset_id}: get: - responses: - '200': - description: A ListDatasetsResponse. - content: - application/json: - schema: - $ref: '#/components/schemas/ListDatasetsResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - - Datasets - summary: List all datasets. - description: List all datasets. - parameters: [] - deprecated: false - post: + - Datasets + summary: Get Dataset + description: Get a dataset by its ID. + operationId: get_dataset_v1beta_datasets__dataset_id__get responses: '200': description: A Dataset. @@ -3166,25 +3535,92 @@ paths: schema: $ref: '#/components/schemas/Dataset' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' + parameters: + - name: dataset_id + in: path + required: true + schema: + type: string + description: 'Path parameter: dataset_id' + delete: tags: - - Datasets - summary: Register a new dataset. + - Datasets + summary: Unregister Dataset + description: Unregister a dataset by its ID. + operationId: unregister_dataset_v1beta_datasets__dataset_id__delete + responses: + '200': + description: Successful Response + content: + application/json: + schema: {} + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: dataset_id + in: path + required: true + schema: + type: string + description: 'Path parameter: dataset_id' + /v1beta/datasets: + get: + tags: + - Datasets + summary: List Datasets + description: List all datasets. + operationId: list_datasets_v1beta_datasets_get + responses: + '200': + description: A ListDatasetsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListDatasetsResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + post: + tags: + - Datasets + summary: Register Dataset description: Register a new dataset. - parameters: [] + operationId: register_dataset_v1beta_datasets_post requestBody: content: application/json: schema: - $ref: '#/components/schemas/RegisterDatasetRequest' + $ref: '#/components/schemas/_datasets_Request' required: true deprecated: true /v1beta/datasets/{dataset_id}: @@ -3197,45 +3633,233 @@ paths: schema: $ref: '#/components/schemas/Dataset' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' + /v1/scoring/score: + post: tags: - - Datasets - summary: Get a dataset by its ID. - description: Get a dataset by its ID. - parameters: - - name: dataset_id - in: path - description: The ID of the dataset to get. - required: true - schema: - type: string - deprecated: false - delete: + - Scoring + summary: Score + description: Score a list of rows. + operationId: score_v1_scoring_score_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_scoring_score_Request' + required: true responses: '200': - description: OK + description: A ScoreResponse object containing rows and aggregated results. + content: + application/json: + schema: + $ref: '#/components/schemas/ScoreResponse' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/scoring/score-batch: + post: + tags: + - Scoring + summary: Score Batch + description: Score a batch of rows. + operationId: score_batch_v1_scoring_score_batch_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_scoring_score_batch_Request' + required: true + responses: + '200': + description: A ScoreBatchResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ScoreBatchResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/scoring-functions/{scoring_fn_id}: + get: + tags: + - Scoring Functions + summary: Get Scoring Function + description: Get a scoring function by its ID. + operationId: get_scoring_function_v1_scoring_functions__scoring_fn_id__get + responses: + '200': + description: A ScoringFn. + content: + application/json: + schema: + $ref: '#/components/schemas/ScoringFn' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: scoring_fn_id + in: path + required: true + schema: + type: string + description: 'Path parameter: scoring_fn_id' + delete: + tags: + - Scoring Functions + summary: Unregister Scoring Function + description: Unregister a scoring function. + operationId: unregister_scoring_function_v1_scoring_functions__scoring_fn_id__delete + responses: + '200': + description: Successful Response + content: + application/json: + schema: {} + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: scoring_fn_id + in: path + required: true + schema: + type: string + description: 'Path parameter: scoring_fn_id' + /v1/scoring-functions: + get: + tags: + - Scoring Functions + summary: List Scoring Functions + description: List all scoring functions. + operationId: list_scoring_functions_v1_scoring_functions_get + responses: + '200': + description: A ListScoringFunctionsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListScoringFunctionsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' + description: Default Response + post: tags: - - Datasets - summary: Unregister a dataset by its ID. - description: Unregister a dataset by its ID. + - Scoring Functions + summary: Register Scoring Function + description: Register a scoring function. + operationId: register_scoring_function_v1_scoring_functions_post + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/Body_register_scoring_function_v1_scoring_functions_post' + responses: + '200': + description: Successful Response + content: + application/json: + schema: {} + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1alpha/eval/benchmarks/{benchmark_id}/evaluations: + post: + tags: + - Eval + summary: Evaluate Rows + description: Evaluate a list of rows on a benchmark. + operationId: evaluate_rows_v1alpha_eval_benchmarks__benchmark_id__evaluations_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_eval_benchmarks_benchmark_id_evaluations_Request' + required: true + responses: + '200': + description: EvaluateResponse object containing generations and scores. + content: + application/json: + schema: + $ref: '#/components/schemas/EvaluateResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' parameters: - name: dataset_id in: path @@ -3246,6 +3870,11 @@ paths: deprecated: true /v1alpha/eval/benchmarks: get: + tags: + - Benchmarks + summary: List Benchmarks + description: List all benchmarks. + operationId: list_benchmarks_v1alpha_eval_benchmarks_get responses: '200': description: A ListBenchmarksResponse. @@ -3255,40 +3884,24 @@ paths: $ref: '#/components/schemas/ListBenchmarksResponse' '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' - tags: - - Benchmarks - summary: List all benchmarks. - description: List all benchmarks. - parameters: [] - deprecated: false + description: Default Response post: - responses: - '200': - description: OK - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - - Benchmarks - summary: Register a benchmark. + - Benchmarks + summary: Register Benchmark description: Register a benchmark. - parameters: [] + operationId: register_benchmark_v1alpha_eval_benchmarks_post requestBody: + required: true content: application/json: schema: @@ -3299,19 +3912,19 @@ paths: get: responses: '200': - description: A Benchmark. + description: Successful Response content: application/json: - schema: - $ref: '#/components/schemas/Benchmark' + schema: {} '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' tags: @@ -3354,227 +3967,50 @@ paths: deprecated: true /v1alpha/eval/benchmarks/{benchmark_id}/evaluations: post: - responses: - '200': - description: >- - EvaluateResponse object containing generations and scores. - content: - application/json: - schema: - $ref: '#/components/schemas/EvaluateResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - - Eval - summary: Evaluate a list of rows on a benchmark. - description: Evaluate a list of rows on a benchmark. + - Post Training + summary: Cancel Training Job + description: Cancel a training job. + operationId: cancel_training_job_v1alpha_post_training_job_cancel_post parameters: - - name: benchmark_id - in: path - description: >- - The ID of the benchmark to run the evaluation on. - required: true - schema: - type: string - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/EvaluateRowsRequest' + - name: job_uuid + in: query required: true - deprecated: false - /v1alpha/eval/benchmarks/{benchmark_id}/jobs: - post: + schema: + type: string + title: Job Uuid responses: '200': - description: >- - The job that was created to run the evaluation. + description: Successful Response content: application/json: - schema: - $ref: '#/components/schemas/Job' + schema: {} '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' - tags: - - Eval - summary: Run an evaluation on a benchmark. - description: Run an evaluation on a benchmark. - parameters: - - name: benchmark_id - in: path - description: >- - The ID of the benchmark to run the evaluation on. - required: true - schema: - type: string - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/RunEvalRequest' - required: true - deprecated: false - /v1alpha/eval/benchmarks/{benchmark_id}/jobs/{job_id}: - get: - responses: - '200': - description: The status of the evaluation job. - content: - application/json: - schema: - $ref: '#/components/schemas/Job' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - Eval - summary: Get the status of a job. - description: Get the status of a job. - parameters: - - name: benchmark_id - in: path - description: >- - The ID of the benchmark to run the evaluation on. - required: true - schema: - type: string - - name: job_id - in: path - description: The ID of the job to get the status of. - required: true - schema: - type: string - deprecated: false - delete: - responses: - '200': - description: OK - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - Eval - summary: Cancel a job. - description: Cancel a job. - parameters: - - name: benchmark_id - in: path - description: >- - The ID of the benchmark to run the evaluation on. - required: true - schema: - type: string - - name: job_id - in: path - description: The ID of the job to cancel. - required: true - schema: - type: string - deprecated: false - /v1alpha/eval/benchmarks/{benchmark_id}/jobs/{job_id}/result: - get: - responses: - '200': - description: The result of the job. - content: - application/json: - schema: - $ref: '#/components/schemas/EvaluateResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - Eval - summary: Get the result of a job. - description: Get the result of a job. - parameters: - - name: benchmark_id - in: path - description: >- - The ID of the benchmark to run the evaluation on. - required: true - schema: - type: string - - name: job_id - in: path - description: The ID of the job to get the result of. - required: true - schema: - type: string - deprecated: false - /v1alpha/inference/rerank: - post: - responses: - '200': - description: >- - RerankResponse with indices sorted by relevance score (descending). - content: - application/json: - schema: - $ref: '#/components/schemas/RerankResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - Inference - summary: >- - Rerank a list of documents based on their relevance to a query. - description: >- - Rerank a list of documents based on their relevance to a query. - parameters: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/RerankRequest' - required: true - deprecated: false + description: Default Response /v1alpha/post-training/job/artifacts: get: + tags: + - Post Training + summary: Get Training Job Artifacts + description: Get the artifacts of a training job. + operationId: get_training_job_artifacts_v1alpha_post_training_job_artifacts_get + parameters: + - name: job_uuid + in: query + required: true + schema: + type: string + title: Job Uuid responses: '200': description: A PostTrainingJobArtifactsResponse. @@ -3584,56 +4020,30 @@ paths: $ref: '#/components/schemas/PostTrainingJobArtifactsResponse' '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' - tags: - - PostTraining (Coming Soon) - summary: Get the artifacts of a training job. - description: Get the artifacts of a training job. - parameters: - - name: job_uuid - in: query - description: >- - The UUID of the job to get the artifacts of. - required: true - schema: - type: string - deprecated: false - /v1alpha/post-training/job/cancel: - post: - responses: - '200': - description: OK - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - PostTraining (Coming Soon) - summary: Cancel a training job. - description: Cancel a training job. - parameters: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/CancelTrainingJobRequest' - required: true - deprecated: false + description: Default Response /v1alpha/post-training/job/status: get: + tags: + - Post Training + summary: Get Training Job Status + description: Get the status of a training job. + operationId: get_training_job_status_v1alpha_post_training_job_status_get + parameters: + - name: job_uuid + in: query + required: true + schema: + type: string + title: Job Uuid responses: '200': description: A PostTrainingJobStatusResponse. @@ -3643,29 +4053,23 @@ paths: $ref: '#/components/schemas/PostTrainingJobStatusResponse' '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' - tags: - - PostTraining (Coming Soon) - summary: Get the status of a training job. - description: Get the status of a training job. - parameters: - - name: job_uuid - in: query - description: >- - The UUID of the job to get the status of. - required: true - schema: - type: string - deprecated: false + description: Default Response /v1alpha/post-training/jobs: get: + tags: + - Post Training + summary: Get Training Jobs + description: Get all training jobs. + operationId: get_training_jobs_v1alpha_post_training_jobs_get responses: '200': description: A ListPostTrainingJobsResponse. @@ -3674,23 +4078,30 @@ paths: schema: $ref: '#/components/schemas/ListPostTrainingJobsResponse' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - PostTraining (Coming Soon) - summary: Get all training jobs. - description: Get all training jobs. - parameters: [] - deprecated: false /v1alpha/post-training/preference-optimize: post: + tags: + - Post Training + summary: Preference Optimize + description: Run preference optimization of a model. + operationId: preference_optimize_v1alpha_post_training_preference_optimize_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_post_training_preference_optimize_Request' + required: true responses: '200': description: A PostTrainingJob. @@ -3699,29 +4110,30 @@ paths: schema: $ref: '#/components/schemas/PostTrainingJob' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - PostTraining (Coming Soon) - summary: Run preference optimization of a model. - description: Run preference optimization of a model. - parameters: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/PreferenceOptimizeRequest' - required: true - deprecated: false /v1alpha/post-training/supervised-fine-tune: post: + tags: + - Post Training + summary: Supervised Fine Tune + description: Run supervised fine-tuning of a model. + operationId: supervised_fine_tune_v1alpha_post_training_supervised_fine_tune_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_post_training_supervised_fine_tune_Request' + required: true responses: '200': description: A PostTrainingJob. @@ -3730,1473 +4142,8326 @@ paths: schema: $ref: '#/components/schemas/PostTrainingJob' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/tools/{tool_name}: + get: + tags: + - Tool Groups + summary: Get Tool + description: Get a tool by its name. + operationId: get_tool_v1_tools__tool_name__get + responses: + '200': + description: A ToolDef. + content: + application/json: + schema: + $ref: '#/components/schemas/ToolDef' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: tool_name + in: path + required: true + schema: + type: string + description: 'Path parameter: tool_name' + /v1/toolgroups/{toolgroup_id}: + get: + tags: + - Tool Groups + summary: Get Tool Group + description: Get a tool group by its ID. + operationId: get_tool_group_v1_toolgroups__toolgroup_id__get + responses: + '200': + description: A ToolGroup. + content: + application/json: + schema: + $ref: '#/components/schemas/ToolGroup' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: toolgroup_id + in: path + required: true + schema: + type: string + description: 'Path parameter: toolgroup_id' + delete: + tags: + - Tool Groups + summary: Unregister Toolgroup + description: Unregister a tool group. + operationId: unregister_toolgroup_v1_toolgroups__toolgroup_id__delete + responses: + '200': + description: Successful Response + content: + application/json: + schema: {} + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: toolgroup_id + in: path + required: true + schema: + type: string + description: 'Path parameter: toolgroup_id' + /v1/toolgroups: + get: + tags: + - Tool Groups + summary: List Tool Groups + description: List tool groups with optional provider. + operationId: list_tool_groups_v1_toolgroups_get + responses: + '200': + description: A ListToolGroupsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListToolGroupsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' + description: Default Response + post: tags: - - PostTraining (Coming Soon) - summary: Run supervised fine-tuning of a model. - description: Run supervised fine-tuning of a model. - parameters: [] + - Tool Groups + summary: Register Tool Group + description: Register a tool group. + operationId: register_tool_group_v1_toolgroups_post requestBody: content: application/json: schema: - $ref: '#/components/schemas/SupervisedFineTuneRequest' + $ref: '#/components/schemas/Body_register_tool_group_v1_toolgroups_post' + responses: + '200': + description: Successful Response + content: + application/json: + schema: {} + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/tools: + get: + tags: + - Tool Groups + summary: List Tools + description: List tools with optional tool group. + operationId: list_tools_v1_tools_get + parameters: + - name: toolgroup_id + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: Toolgroup Id + responses: + '200': + description: A ListToolDefsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListToolDefsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/tool-runtime/invoke: + post: + tags: + - Tool Runtime + summary: Invoke Tool + description: Run a tool with the given arguments. + operationId: invoke_tool_v1_tool_runtime_invoke_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_tool_runtime_invoke_Request' required: true - deprecated: false -jsonSchemaDialect: >- - https://json-schema.org/draft/2020-12/schema + responses: + '200': + description: A ToolInvocationResult. + content: + application/json: + schema: + $ref: '#/components/schemas/ToolInvocationResult' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/tool-runtime/list-tools: + get: + tags: + - Tool Runtime + summary: List Runtime Tools + description: List all tools in the runtime. + operationId: list_runtime_tools_v1_tool_runtime_list_tools_get + parameters: + - name: tool_group_id + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: Tool Group Id + requestBody: + content: + application/json: + schema: + anyOf: + - $ref: '#/components/schemas/URL' + - type: 'null' + title: Mcp Endpoint + responses: + '200': + description: A ListToolDefsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListToolDefsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/files/{file_id}: + get: + tags: + - Files + summary: Openai Retrieve File + description: |- + Retrieve file. + + Returns information about a specific file. + operationId: openai_retrieve_file_v1_files__file_id__get + responses: + '200': + description: An OpenAIFileObject containing file information. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIFileObject' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: file_id + in: path + required: true + schema: + type: string + description: 'Path parameter: file_id' + delete: + tags: + - Files + summary: Openai Delete File + description: Delete file. + operationId: openai_delete_file_v1_files__file_id__delete + responses: + '200': + description: An OpenAIFileDeleteResponse indicating successful deletion. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIFileDeleteResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: file_id + in: path + required: true + schema: + type: string + description: 'Path parameter: file_id' + /v1/files: + get: + tags: + - Files + summary: Openai List Files + description: |- + List files. + + Returns a list of files that belong to the user's organization. + operationId: openai_list_files_v1_files_get + parameters: + - name: after + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: After + - name: limit + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + default: 10000 + title: Limit + - name: order + in: query + required: false + schema: + anyOf: + - $ref: '#/components/schemas/Order' + - type: 'null' + default: desc + title: Order + - name: purpose + in: query + required: false + schema: + anyOf: + - $ref: '#/components/schemas/OpenAIFilePurpose' + - type: 'null' + title: Purpose + responses: + '200': + description: An ListOpenAIFileResponse containing the list of files. + content: + application/json: + schema: + $ref: '#/components/schemas/ListOpenAIFileResponse' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + post: + tags: + - Files + summary: Openai Upload File + description: |- + Upload file. + + Upload a file that can be used across various endpoints. + + The file upload should be a multipart form request with: + - file: The File object (not file name) to be uploaded. + - purpose: The intended purpose of the uploaded file. + - expires_after: Optional form values describing expiration for the file. + operationId: openai_upload_file_v1_files_post + requestBody: + required: true + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/Body_openai_upload_file_v1_files_post' + responses: + '200': + description: An OpenAIFileObject representing the uploaded file. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIFileObject' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/files/{file_id}/content: + get: + tags: + - Files + summary: Openai Retrieve File Content + description: |- + Retrieve file content. + + Returns the contents of the specified file. + operationId: openai_retrieve_file_content_v1_files__file_id__content_get + responses: + '200': + description: The raw file content as a binary response. + content: + application/json: + schema: {} + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: file_id + in: path + required: true + schema: + type: string + description: 'Path parameter: file_id' + /v1/prompts: + get: + tags: + - Prompts + summary: List Prompts + description: List all prompts. + operationId: list_prompts_v1_prompts_get + responses: + '200': + description: A ListPromptsResponse containing all prompts. + content: + application/json: + schema: + $ref: '#/components/schemas/ListPromptsResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + post: + tags: + - Prompts + summary: Create Prompt + description: |- + Create prompt. + + Create a new prompt. + operationId: create_prompt_v1_prompts_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_prompts_Request' + required: true + responses: + '200': + description: The created Prompt resource. + content: + application/json: + schema: + $ref: '#/components/schemas/Prompt' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/prompts/{prompt_id}: + delete: + tags: + - Prompts + summary: Delete Prompt + description: |- + Delete prompt. + + Delete a prompt. + operationId: delete_prompt_v1_prompts__prompt_id__delete + responses: + '200': + description: Successful Response + content: + application/json: + schema: {} + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + parameters: + - name: prompt_id + in: path + required: true + schema: + type: string + description: 'Path parameter: prompt_id' + get: + tags: + - Prompts + summary: Get Prompt + description: |- + Get prompt. + + Get a prompt by its identifier and optional version. + operationId: get_prompt_v1_prompts__prompt_id__get + parameters: + - name: version + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + title: Version + - name: prompt_id + in: path + required: true + schema: + type: string + description: 'Path parameter: prompt_id' + responses: + '200': + description: A Prompt resource. + content: + application/json: + schema: + $ref: '#/components/schemas/Prompt' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + post: + tags: + - Prompts + summary: Update Prompt + description: |- + Update prompt. + + Update an existing prompt (increments version). + operationId: update_prompt_v1_prompts__prompt_id__post + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/_prompts_prompt_id_Request' + responses: + '200': + description: The updated Prompt resource with incremented version. + content: + application/json: + schema: + $ref: '#/components/schemas/Prompt' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + parameters: + - name: prompt_id + in: path + required: true + schema: + type: string + description: 'Path parameter: prompt_id' + /v1/prompts/{prompt_id}/versions: + get: + tags: + - Prompts + summary: List Prompt Versions + description: |- + List prompt versions. + + List all versions of a specific prompt. + operationId: list_prompt_versions_v1_prompts__prompt_id__versions_get + responses: + '200': + description: A ListPromptsResponse containing all versions of the prompt. + content: + application/json: + schema: + $ref: '#/components/schemas/ListPromptsResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: prompt_id + in: path + required: true + schema: + type: string + description: 'Path parameter: prompt_id' + /v1/prompts/{prompt_id}/set-default-version: + post: + tags: + - Prompts + summary: Set Default Version + description: |- + Set prompt version. + + Set which version of a prompt should be the default in get_prompt (latest). + operationId: set_default_version_v1_prompts__prompt_id__set_default_version_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_prompts_prompt_id_set_default_version_Request' + required: true + responses: + '200': + description: The prompt with the specified version now set as default. + content: + application/json: + schema: + $ref: '#/components/schemas/Prompt' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: prompt_id + in: path + required: true + schema: + type: string + description: 'Path parameter: prompt_id' + /v1/conversations/{conversation_id}/items: + post: + tags: + - Conversations + summary: Add Items + description: |- + Create items. + + Create items in the conversation. + operationId: add_items_v1_conversations__conversation_id__items_post + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/_conversations_conversation_id_items_Request' + responses: + '200': + description: List of created items. + content: + application/json: + schema: + $ref: '#/components/schemas/ConversationItemList' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + parameters: + - name: conversation_id + in: path + required: true + schema: + type: string + description: 'Path parameter: conversation_id' + get: + tags: + - Conversations + summary: List Items + description: |- + List items. + + List items in the conversation. + operationId: list_items_v1_conversations__conversation_id__items_get + parameters: + - name: after + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: After + - name: limit + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + title: Limit + - name: order + in: query + required: false + schema: + anyOf: + - enum: + - asc + - desc + type: string + - type: 'null' + title: Order + - name: conversation_id + in: path + required: true + schema: + type: string + description: 'Path parameter: conversation_id' + requestBody: + content: + application/json: + schema: + anyOf: + - type: array + items: + $ref: '#/components/schemas/ConversationItemInclude' + - type: 'null' + title: Include + responses: + '200': + description: List of conversation items. + content: + application/json: + schema: + $ref: '#/components/schemas/ConversationItemList' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/conversations: + post: + tags: + - Conversations + summary: Create Conversation + description: |- + Create a conversation. + + Create a conversation. + operationId: create_conversation_v1_conversations_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_conversations_Request' + required: true + responses: + '200': + description: The created conversation object. + content: + application/json: + schema: + $ref: '#/components/schemas/Conversation' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/conversations/{conversation_id}: + get: + tags: + - Conversations + summary: Get Conversation + description: |- + Retrieve a conversation. + + Get a conversation with the given ID. + operationId: get_conversation_v1_conversations__conversation_id__get + responses: + '200': + description: The conversation object. + content: + application/json: + schema: + $ref: '#/components/schemas/Conversation' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: conversation_id + in: path + required: true + schema: + type: string + description: 'Path parameter: conversation_id' + post: + tags: + - Conversations + summary: Update Conversation + description: |- + Update a conversation. + + Update a conversation's metadata with the given ID. + operationId: update_conversation_v1_conversations__conversation_id__post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_conversations_conversation_id_Request' + required: true + responses: + '200': + description: The updated conversation object. + content: + application/json: + schema: + $ref: '#/components/schemas/Conversation' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: conversation_id + in: path + required: true + schema: + type: string + description: 'Path parameter: conversation_id' + delete: + tags: + - Conversations + summary: Openai Delete Conversation + description: |- + Delete a conversation. + + Delete a conversation with the given ID. + operationId: openai_delete_conversation_v1_conversations__conversation_id__delete + responses: + '200': + description: The deleted conversation resource. + content: + application/json: + schema: + $ref: '#/components/schemas/ConversationDeletedResource' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: conversation_id + in: path + required: true + schema: + type: string + description: 'Path parameter: conversation_id' + /v1/conversations/{conversation_id}/items/{item_id}: + get: + tags: + - Conversations + summary: Retrieve + description: |- + Retrieve an item. + + Retrieve a conversation item. + operationId: retrieve_v1_conversations__conversation_id__items__item_id__get + responses: + '200': + description: The conversation item. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIResponseMessage' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: conversation_id + in: path + required: true + schema: + type: string + description: 'Path parameter: conversation_id' + - name: item_id + in: path + required: true + schema: + type: string + description: 'Path parameter: item_id' + delete: + tags: + - Conversations + summary: Openai Delete Conversation Item + description: |- + Delete an item. + + Delete a conversation item. + operationId: openai_delete_conversation_item_v1_conversations__conversation_id__items__item_id__delete + responses: + '200': + description: The deleted item resource. + content: + application/json: + schema: + $ref: '#/components/schemas/ConversationItemDeletedResource' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: conversation_id + in: path + required: true + schema: + type: string + description: 'Path parameter: conversation_id' + - name: item_id + in: path + required: true + schema: + type: string + description: 'Path parameter: item_id' components: schemas: - Error: - type: object + AggregationFunctionType: + type: string + enum: + - average + - weighted_average + - median + - categorical_count + - accuracy + title: AggregationFunctionType + description: Types of aggregation functions for scoring results. + AllowedToolsFilter: properties: - status: - type: integer - description: HTTP status code - title: - type: string - description: >- - Error title, a short summary of the error which is invariant for an error - type - detail: - type: string - description: >- - Error detail, a longer human-readable description of the error - instance: - type: string - description: >- - (Optional) A URL which can be used to retrieve more information about - the specific occurrence of the error - additionalProperties: false - required: - - status - - title - - detail - title: Error - description: >- - Error response from the API. Roughly follows RFC 7807. - ListBatchesResponse: + tool_names: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: Tool Names type: object + title: AllowedToolsFilter + description: Filter configuration for restricting which MCP tools can be used. + ArrayType: properties: - object: + type: type: string - const: list - default: list - data: - type: array + const: array + title: Type + default: array + type: object + title: ArrayType + description: Parameter type for array values. + BasicScoringFnParams: + properties: + type: + type: string + const: basic + title: Type + default: basic + aggregation_functions: items: - type: object - properties: - id: - type: string - completion_window: - type: string - created_at: - type: integer - endpoint: - type: string - input_file_id: - type: string - object: - type: string - const: batch - status: - type: string - enum: - - validating - - failed - - in_progress - - finalizing - - completed - - expired - - cancelling - - cancelled - cancelled_at: - type: integer - cancelling_at: - type: integer - completed_at: - type: integer - error_file_id: - type: string - errors: - type: object - properties: - data: - type: array - items: - type: object - properties: - code: - type: string - line: - type: integer - message: - type: string - param: - type: string - additionalProperties: false - title: BatchError - object: - type: string - additionalProperties: false - title: Errors - expired_at: - type: integer - expires_at: - type: integer - failed_at: - type: integer - finalizing_at: - type: integer - in_progress_at: - type: integer - metadata: - type: object - additionalProperties: - type: string - model: - type: string - output_file_id: - type: string - request_counts: - type: object - properties: - completed: - type: integer - failed: - type: integer - total: - type: integer - additionalProperties: false - required: - - completed - - failed - - total - title: BatchRequestCounts - usage: - type: object - properties: - input_tokens: - type: integer - input_tokens_details: - type: object - properties: - cached_tokens: - type: integer - additionalProperties: false - required: - - cached_tokens - title: InputTokensDetails - output_tokens: - type: integer - output_tokens_details: - type: object - properties: - reasoning_tokens: - type: integer - additionalProperties: false - required: - - reasoning_tokens - title: OutputTokensDetails - total_tokens: - type: integer - additionalProperties: false - required: - - input_tokens - - input_tokens_details - - output_tokens - - output_tokens_details - - total_tokens - title: BatchUsage - additionalProperties: false - required: - - id - - completion_window - - created_at - - endpoint - - input_file_id - - object - - status - title: Batch - first_id: - type: string - last_id: - type: string - has_more: - type: boolean - default: false - additionalProperties: false - required: - - object - - data - - has_more - title: ListBatchesResponse - description: >- - Response containing a list of batch objects. - CreateBatchRequest: + $ref: '#/components/schemas/AggregationFunctionType' + type: array + title: Aggregation Functions + description: Aggregation functions to apply to the scores of each row type: object - properties: - input_file_id: - type: string - description: >- - The ID of an uploaded file containing requests for the batch. - endpoint: - type: string - description: >- - The endpoint to be used for all requests in the batch. - completion_window: - type: string - const: 24h - description: >- - The time window within which the batch should be processed. - metadata: - type: object - additionalProperties: - type: string - description: Optional metadata for the batch. - idempotency_key: - type: string - description: >- - Optional idempotency key. When provided, enables idempotent behavior. - additionalProperties: false - required: - - input_file_id - - endpoint - - completion_window - title: CreateBatchRequest + title: BasicScoringFnParams + description: Parameters for basic scoring function configuration. Batch: - type: object properties: id: type: string + title: Id completion_window: type: string + title: Completion Window created_at: type: integer + title: Created At endpoint: type: string + title: Endpoint input_file_id: type: string + title: Input File Id object: type: string const: batch + title: Object status: type: string enum: - - validating - - failed - - in_progress - - finalizing - - completed - - expired - - cancelling - - cancelled + - validating + - failed + - in_progress + - finalizing + - completed + - expired + - cancelling + - cancelled + title: Status cancelled_at: - type: integer + anyOf: + - type: integer + - type: 'null' + title: Cancelled At cancelling_at: - type: integer + anyOf: + - type: integer + - type: 'null' + title: Cancelling At completed_at: - type: integer + anyOf: + - type: integer + - type: 'null' + title: Completed At error_file_id: - type: string + anyOf: + - type: string + - type: 'null' + title: Error File Id errors: - type: object - properties: - data: - type: array - items: - type: object - properties: - code: - type: string - line: - type: integer - message: - type: string - param: - type: string - additionalProperties: false - title: BatchError - object: - type: string - additionalProperties: false - title: Errors + anyOf: + - $ref: '#/components/schemas/Errors' + - type: 'null' expired_at: - type: integer + anyOf: + - type: integer + - type: 'null' + title: Expired At expires_at: - type: integer + anyOf: + - type: integer + - type: 'null' + title: Expires At failed_at: - type: integer + anyOf: + - type: integer + - type: 'null' + title: Failed At finalizing_at: - type: integer + anyOf: + - type: integer + - type: 'null' + title: Finalizing At in_progress_at: - type: integer + anyOf: + - type: integer + - type: 'null' + title: In Progress At metadata: - type: object - additionalProperties: - type: string - model: - type: string - output_file_id: - type: string - request_counts: - type: object - properties: - completed: - type: integer - failed: - type: integer - total: - type: integer - additionalProperties: false - required: - - completed - - failed - - total - title: BatchRequestCounts - usage: - type: object - properties: - input_tokens: - type: integer - input_tokens_details: - type: object - properties: - cached_tokens: - type: integer - additionalProperties: false - required: - - cached_tokens - title: InputTokensDetails - output_tokens: - type: integer - output_tokens_details: - type: object - properties: - reasoning_tokens: - type: integer - additionalProperties: false - required: - - reasoning_tokens - title: OutputTokensDetails - total_tokens: - type: integer - additionalProperties: false - required: - - input_tokens - - input_tokens_details - - output_tokens - - output_tokens_details - - total_tokens - title: BatchUsage - additionalProperties: false - required: - - id - - completion_window - - created_at - - endpoint - - input_file_id - - object - - status - title: Batch - Order: - type: string - enum: - - asc - - desc - title: Order - description: Sort order for paginated responses. - ListOpenAIChatCompletionResponse: - type: object - properties: - data: - type: array - items: + anyOf: + - additionalProperties: + type: string type: object - properties: - id: - type: string - description: The ID of the chat completion - choices: - type: array - items: - $ref: '#/components/schemas/OpenAIChoice' - description: List of choices - object: - type: string - const: chat.completion - default: chat.completion - description: >- - The object type, which will be "chat.completion" - created: - type: integer - description: >- - The Unix timestamp in seconds when the chat completion was created - model: - type: string - description: >- - The model that was used to generate the chat completion - usage: - $ref: '#/components/schemas/OpenAIChatCompletionUsage' - description: >- - Token usage information for the completion - input_messages: - type: array - items: - $ref: '#/components/schemas/OpenAIMessageParam' - additionalProperties: false - required: - - id - - choices - - object - - created - - model - - input_messages - title: OpenAICompletionWithInputMessages - description: >- - List of chat completion objects with their input messages - has_more: - type: boolean - description: >- - Whether there are more completions available beyond this list - first_id: + - type: 'null' + title: Metadata + model: + anyOf: + - type: string + - type: 'null' + title: Model + output_file_id: + anyOf: + - type: string + - type: 'null' + title: Output File Id + request_counts: + anyOf: + - $ref: '#/components/schemas/BatchRequestCounts' + - type: 'null' + usage: + anyOf: + - $ref: '#/components/schemas/BatchUsage' + - type: 'null' + additionalProperties: true + type: object + required: + - id + - completion_window + - created_at + - endpoint + - input_file_id + - object + - status + title: Batch + BatchError: + properties: + code: + anyOf: + - type: string + - type: 'null' + title: Code + line: + anyOf: + - type: integer + - type: 'null' + title: Line + message: + anyOf: + - type: string + - type: 'null' + title: Message + param: + anyOf: + - type: string + - type: 'null' + title: Param + additionalProperties: true + type: object + title: BatchError + BatchRequestCounts: + properties: + completed: + type: integer + title: Completed + failed: + type: integer + title: Failed + total: + type: integer + title: Total + additionalProperties: true + type: object + required: + - completed + - failed + - total + title: BatchRequestCounts + BatchUsage: + properties: + input_tokens: + type: integer + title: Input Tokens + input_tokens_details: + $ref: '#/components/schemas/InputTokensDetails' + output_tokens: + type: integer + title: Output Tokens + output_tokens_details: + $ref: '#/components/schemas/OutputTokensDetails' + total_tokens: + type: integer + title: Total Tokens + additionalProperties: true + type: object + required: + - input_tokens + - input_tokens_details + - output_tokens + - output_tokens_details + - total_tokens + title: BatchUsage + Benchmark: + properties: + identifier: type: string - description: ID of the first completion in this list - last_id: + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: type: string - description: ID of the last completion in this list + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: benchmark + title: Type + default: benchmark + dataset_id: + type: string + title: Dataset Id + scoring_functions: + items: + type: string + type: array + title: Scoring Functions + metadata: + additionalProperties: true + type: object + title: Metadata + description: Metadata for this evaluation task + type: object + required: + - identifier + - provider_id + - dataset_id + - scoring_functions + title: Benchmark + description: A benchmark resource for evaluating model performance. + BenchmarkConfig: + properties: + eval_candidate: + $ref: '#/components/schemas/ModelCandidate' + scoring_params: + additionalProperties: + oneOf: + - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams' + - $ref: '#/components/schemas/RegexParserScoringFnParams' + - $ref: '#/components/schemas/BasicScoringFnParams' + discriminator: + propertyName: type + mapping: + basic: '#/components/schemas/BasicScoringFnParams' + llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams' + regex_parser: '#/components/schemas/RegexParserScoringFnParams' + type: object + title: Scoring Params + description: Map between scoring function id and parameters for each scoring function you want to run + num_examples: + anyOf: + - type: integer + - type: 'null' + title: Num Examples + description: Number of examples to evaluate (useful for testing), if not provided, all examples in the dataset will be evaluated + type: object + required: + - eval_candidate + title: BenchmarkConfig + description: A benchmark configuration for evaluation. + Body_openai_upload_file_v1_files_post: + properties: + file: + type: string + format: binary + title: File + purpose: + $ref: '#/components/schemas/OpenAIFilePurpose' + expires_after: + anyOf: + - $ref: '#/components/schemas/ExpiresAfter' + - type: 'null' + type: object + required: + - file + - purpose + title: Body_openai_upload_file_v1_files_post + Body_register_benchmark_v1alpha_eval_benchmarks_post: + properties: + scoring_functions: + items: + type: string + type: array + title: Scoring Functions + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + type: object + required: + - scoring_functions + title: Body_register_benchmark_v1alpha_eval_benchmarks_post + Body_register_scoring_function_v1_scoring_functions_post: + properties: + return_type: + anyOf: + - $ref: '#/components/schemas/StringType' + - $ref: '#/components/schemas/NumberType' + - $ref: '#/components/schemas/BooleanType' + - $ref: '#/components/schemas/ArrayType' + - $ref: '#/components/schemas/ObjectType' + - $ref: '#/components/schemas/JsonType' + - $ref: '#/components/schemas/UnionType' + - $ref: '#/components/schemas/ChatCompletionInputType' + - $ref: '#/components/schemas/CompletionInputType' + title: Return Type + params: + anyOf: + - oneOf: + - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams' + - $ref: '#/components/schemas/RegexParserScoringFnParams' + - $ref: '#/components/schemas/BasicScoringFnParams' + discriminator: + propertyName: type + mapping: + basic: '#/components/schemas/BasicScoringFnParams' + llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams' + regex_parser: '#/components/schemas/RegexParserScoringFnParams' + - type: 'null' + title: Params + type: object + required: + - return_type + title: Body_register_scoring_function_v1_scoring_functions_post + Body_register_tool_group_v1_toolgroups_post: + properties: + mcp_endpoint: + anyOf: + - $ref: '#/components/schemas/URL' + - type: 'null' + args: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Args + type: object + title: Body_register_tool_group_v1_toolgroups_post + BooleanType: + properties: + type: + type: string + const: boolean + title: Type + default: boolean + type: object + title: BooleanType + description: Parameter type for boolean values. + ChatCompletionInputType: + properties: + type: + type: string + const: chat_completion_input + title: Type + default: chat_completion_input + type: object + title: ChatCompletionInputType + description: Parameter type for chat completion input. + Chunk-Input: + properties: + content: + anyOf: + - type: string + - oneOf: + - $ref: '#/components/schemas/ImageContentItem-Input' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Input' + text: '#/components/schemas/TextContentItem' + - items: + oneOf: + - $ref: '#/components/schemas/ImageContentItem-Input' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Input' + text: '#/components/schemas/TextContentItem' + type: array + title: Content + chunk_id: + type: string + title: Chunk Id + metadata: + additionalProperties: true + type: object + title: Metadata + embedding: + anyOf: + - items: + type: number + type: array + - type: 'null' + title: Embedding + chunk_metadata: + anyOf: + - $ref: '#/components/schemas/ChunkMetadata' + - type: 'null' + type: object + required: + - content + - chunk_id + title: Chunk + description: A chunk of content that can be inserted into a vector database. + Chunk-Output: + properties: + content: + anyOf: + - type: string + - oneOf: + - $ref: '#/components/schemas/ImageContentItem-Output' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Output' + text: '#/components/schemas/TextContentItem' + - items: + oneOf: + - $ref: '#/components/schemas/ImageContentItem-Output' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Output' + text: '#/components/schemas/TextContentItem' + type: array + title: Content + chunk_id: + type: string + title: Chunk Id + metadata: + additionalProperties: true + type: object + title: Metadata + embedding: + anyOf: + - items: + type: number + type: array + - type: 'null' + title: Embedding + chunk_metadata: + anyOf: + - $ref: '#/components/schemas/ChunkMetadata' + - type: 'null' + type: object + required: + - content + - chunk_id + title: Chunk + description: A chunk of content that can be inserted into a vector database. + ChunkMetadata: + properties: + chunk_id: + anyOf: + - type: string + - type: 'null' + title: Chunk Id + document_id: + anyOf: + - type: string + - type: 'null' + title: Document Id + source: + anyOf: + - type: string + - type: 'null' + title: Source + created_timestamp: + anyOf: + - type: integer + - type: 'null' + title: Created Timestamp + updated_timestamp: + anyOf: + - type: integer + - type: 'null' + title: Updated Timestamp + chunk_window: + anyOf: + - type: string + - type: 'null' + title: Chunk Window + chunk_tokenizer: + anyOf: + - type: string + - type: 'null' + title: Chunk Tokenizer + chunk_embedding_model: + anyOf: + - type: string + - type: 'null' + title: Chunk Embedding Model + chunk_embedding_dimension: + anyOf: + - type: integer + - type: 'null' + title: Chunk Embedding Dimension + content_token_count: + anyOf: + - type: integer + - type: 'null' + title: Content Token Count + metadata_token_count: + anyOf: + - type: integer + - type: 'null' + title: Metadata Token Count + type: object + title: ChunkMetadata + description: |- + `ChunkMetadata` is backend metadata for a `Chunk` that is used to store additional information about the chunk that + will not be used in the context during inference, but is required for backend functionality. The `ChunkMetadata` + is set during chunk creation in `MemoryToolRuntimeImpl().insert()`and is not expected to change after. + Use `Chunk.metadata` for metadata that will be used in the context during inference. + CompletionInputType: + properties: + type: + type: string + const: completion_input + title: Type + default: completion_input + type: object + title: CompletionInputType + description: Parameter type for completion input. + Conversation: + properties: + id: + type: string + title: Id + description: The unique ID of the conversation. object: type: string - const: list - default: list - description: >- - Must be "list" to identify this as a list response - additionalProperties: false - required: - - data - - has_more - - first_id - - last_id - - object - title: ListOpenAIChatCompletionResponse - description: >- - Response from listing OpenAI-compatible chat completions. - OpenAIAssistantMessageParam: + const: conversation + title: Object + description: The object type, which is always conversation. + default: conversation + created_at: + type: integer + title: Created At + description: The time at which the conversation was created, measured in seconds since the Unix epoch. + metadata: + anyOf: + - additionalProperties: + type: string + type: object + - type: 'null' + title: Metadata + description: Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard. + items: + anyOf: + - items: + additionalProperties: true + type: object + type: array + - type: 'null' + title: Items + description: Initial items to include in the conversation context. You may add up to 20 items at a time. type: object + required: + - id + - created_at + title: Conversation + description: OpenAI-compatible conversation object. + ConversationDeletedResource: + properties: + id: + type: string + title: Id + description: The deleted conversation identifier + object: + type: string + title: Object + description: Object type + default: conversation.deleted + deleted: + type: boolean + title: Deleted + description: Whether the object was deleted + default: true + type: object + required: + - id + title: ConversationDeletedResource + description: Response for deleted conversation. + ConversationItemDeletedResource: + properties: + id: + type: string + title: Id + description: The deleted item identifier + object: + type: string + title: Object + description: Object type + default: conversation.item.deleted + deleted: + type: boolean + title: Deleted + description: Whether the object was deleted + default: true + type: object + required: + - id + title: ConversationItemDeletedResource + description: Response for deleted conversation item. + ConversationItemInclude: + type: string + enum: + - web_search_call.action.sources + - code_interpreter_call.outputs + - computer_call_output.output.image_url + - file_search_call.results + - message.input_image.image_url + - message.output_text.logprobs + - reasoning.encrypted_content + title: ConversationItemInclude + description: Specify additional output data to include in the model response. + ConversationItemList: + properties: + object: + type: string + title: Object + description: Object type + default: list + data: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage-Output' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + discriminator: + propertyName: type + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + function_call_output: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_approval_response: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage-Output' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + type: array + title: Data + description: List of conversation items + first_id: + anyOf: + - type: string + - type: 'null' + title: First Id + description: The ID of the first item in the list + last_id: + anyOf: + - type: string + - type: 'null' + title: Last Id + description: The ID of the last item in the list + has_more: + type: boolean + title: Has More + description: Whether there are more items available + default: false + type: object + required: + - data + title: ConversationItemList + description: List of conversation items with pagination. + DPOAlignmentConfig: + properties: + beta: + type: number + title: Beta + loss_type: + $ref: '#/components/schemas/DPOLossType' + default: sigmoid + type: object + required: + - beta + title: DPOAlignmentConfig + description: Configuration for Direct Preference Optimization (DPO) alignment. + DPOLossType: + type: string + enum: + - sigmoid + - hinge + - ipo + - kto_pair + title: DPOLossType + DataConfig: + properties: + dataset_id: + type: string + title: Dataset Id + batch_size: + type: integer + title: Batch Size + shuffle: + type: boolean + title: Shuffle + data_format: + $ref: '#/components/schemas/DatasetFormat' + validation_dataset_id: + anyOf: + - type: string + - type: 'null' + title: Validation Dataset Id + packed: + anyOf: + - type: boolean + - type: 'null' + title: Packed + default: false + train_on_input: + anyOf: + - type: boolean + - type: 'null' + title: Train On Input + default: false + type: object + required: + - dataset_id + - batch_size + - shuffle + - data_format + title: DataConfig + description: Configuration for training data and data loading. + Dataset: + properties: + identifier: + type: string + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: + type: string + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: dataset + title: Type + default: dataset + purpose: + $ref: '#/components/schemas/DatasetPurpose' + source: + oneOf: + - $ref: '#/components/schemas/URIDataSource' + - $ref: '#/components/schemas/RowsDataSource' + title: Source + discriminator: + propertyName: type + mapping: + rows: '#/components/schemas/RowsDataSource' + uri: '#/components/schemas/URIDataSource' + metadata: + additionalProperties: true + type: object + title: Metadata + description: Any additional metadata for this dataset + type: object + required: + - identifier + - provider_id + - purpose + - source + title: Dataset + description: Dataset resource for storing and accessing training or evaluation data. + DatasetFormat: + type: string + enum: + - instruct + - dialog + title: DatasetFormat + description: Format of the training dataset. + DatasetPurpose: + type: string + enum: + - post-training/messages + - eval/question-answer + - eval/messages-answer + title: DatasetPurpose + description: Purpose of the dataset. Each purpose has a required input data schema. + EfficiencyConfig: + properties: + enable_activation_checkpointing: + anyOf: + - type: boolean + - type: 'null' + title: Enable Activation Checkpointing + default: false + enable_activation_offloading: + anyOf: + - type: boolean + - type: 'null' + title: Enable Activation Offloading + default: false + memory_efficient_fsdp_wrap: + anyOf: + - type: boolean + - type: 'null' + title: Memory Efficient Fsdp Wrap + default: false + fsdp_cpu_offload: + anyOf: + - type: boolean + - type: 'null' + title: Fsdp Cpu Offload + default: false + type: object + title: EfficiencyConfig + description: Configuration for memory and compute efficiency optimizations. + Errors: + properties: + data: + anyOf: + - items: + $ref: '#/components/schemas/BatchError' + type: array + - type: 'null' + title: Data + object: + anyOf: + - type: string + - type: 'null' + title: Object + additionalProperties: true + type: object + title: Errors + EvaluateResponse: + properties: + generations: + items: + additionalProperties: true + type: object + type: array + title: Generations + scores: + additionalProperties: + $ref: '#/components/schemas/ScoringResult' + type: object + title: Scores + type: object + required: + - generations + - scores + title: EvaluateResponse + description: The response from an evaluation. + ExpiresAfter: + properties: + anchor: + type: string + const: created_at + title: Anchor + seconds: + type: integer + maximum: 2592000.0 + minimum: 3600.0 + title: Seconds + type: object + required: + - anchor + - seconds + title: ExpiresAfter + description: |- + Control expiration of uploaded files. + + Params: + - anchor, must be "created_at" + - seconds, must be int between 3600 and 2592000 (1 hour to 30 days) + GreedySamplingStrategy: + properties: + type: + type: string + const: greedy + title: Type + default: greedy + type: object + title: GreedySamplingStrategy + description: Greedy sampling strategy that selects the highest probability token at each step. + HealthInfo: + properties: + status: + $ref: '#/components/schemas/HealthStatus' + type: object + required: + - status + title: HealthInfo + description: Health status information for the service. + HealthStatus: + type: string + enum: + - OK + - Error + - Not Implemented + title: HealthStatus + ImageContentItem-Input: + properties: + type: + type: string + const: image + title: Type + default: image + image: + $ref: '#/components/schemas/_URLOrData' + type: object + required: + - image + title: ImageContentItem + description: A image content item + ImageContentItem-Output: + properties: + type: + type: string + const: image + title: Type + default: image + image: + $ref: '#/components/schemas/_URLOrData' + type: object + required: + - image + title: ImageContentItem + description: A image content item + InputTokensDetails: + properties: + cached_tokens: + type: integer + title: Cached Tokens + additionalProperties: true + type: object + required: + - cached_tokens + title: InputTokensDetails + Job: + properties: + job_id: + type: string + title: Job Id + status: + $ref: '#/components/schemas/JobStatus' + type: object + required: + - job_id + - status + title: Job + description: A job execution instance with status tracking. + JobStatus: + type: string + enum: + - completed + - in_progress + - failed + - scheduled + - cancelled + title: JobStatus + description: Status of a job execution. + JsonType: + properties: + type: + type: string + const: json + title: Type + default: json + type: object + title: JsonType + description: Parameter type for JSON values. + LLMAsJudgeScoringFnParams: + properties: + type: + type: string + const: llm_as_judge + title: Type + default: llm_as_judge + judge_model: + type: string + title: Judge Model + prompt_template: + anyOf: + - type: string + - type: 'null' + title: Prompt Template + judge_score_regexes: + items: + type: string + type: array + title: Judge Score Regexes + description: Regexes to extract the answer from generated response + aggregation_functions: + items: + $ref: '#/components/schemas/AggregationFunctionType' + type: array + title: Aggregation Functions + description: Aggregation functions to apply to the scores of each row + type: object + required: + - judge_model + title: LLMAsJudgeScoringFnParams + description: Parameters for LLM-as-judge scoring function configuration. + ListBenchmarksResponse: + properties: + data: + items: + $ref: '#/components/schemas/Benchmark' + type: array + title: Data + type: object + required: + - data + title: ListBenchmarksResponse + ListDatasetsResponse: + properties: + data: + items: + $ref: '#/components/schemas/Dataset' + type: array + title: Data + type: object + required: + - data + title: ListDatasetsResponse + description: Response from listing datasets. + ListPostTrainingJobsResponse: + properties: + data: + items: + $ref: '#/components/schemas/PostTrainingJob' + type: array + title: Data + type: object + required: + - data + title: ListPostTrainingJobsResponse + ListPromptsResponse: + properties: + data: + items: + $ref: '#/components/schemas/Prompt' + type: array + title: Data + type: object + required: + - data + title: ListPromptsResponse + description: Response model to list prompts. + ListProvidersResponse: + properties: + data: + items: + $ref: '#/components/schemas/ProviderInfo' + type: array + title: Data + type: object + required: + - data + title: ListProvidersResponse + description: Response containing a list of all available providers. + ListScoringFunctionsResponse: + properties: + data: + items: + $ref: '#/components/schemas/ScoringFn' + type: array + title: Data + type: object + required: + - data + title: ListScoringFunctionsResponse + ListShieldsResponse: + properties: + data: + items: + $ref: '#/components/schemas/Shield' + type: array + title: Data + type: object + required: + - data + title: ListShieldsResponse + ListToolGroupsResponse: + properties: + data: + items: + $ref: '#/components/schemas/ToolGroup' + type: array + title: Data + type: object + required: + - data + title: ListToolGroupsResponse + description: Response containing a list of tool groups. + LoraFinetuningConfig: + properties: + type: + type: string + const: LoRA + title: Type + default: LoRA + lora_attn_modules: + items: + type: string + type: array + title: Lora Attn Modules + apply_lora_to_mlp: + type: boolean + title: Apply Lora To Mlp + apply_lora_to_output: + type: boolean + title: Apply Lora To Output + rank: + type: integer + title: Rank + alpha: + type: integer + title: Alpha + use_dora: + anyOf: + - type: boolean + - type: 'null' + title: Use Dora + default: false + quantize_base: + anyOf: + - type: boolean + - type: 'null' + title: Quantize Base + default: false + type: object + required: + - lora_attn_modules + - apply_lora_to_mlp + - apply_lora_to_output + - rank + - alpha + title: LoraFinetuningConfig + description: Configuration for Low-Rank Adaptation (LoRA) fine-tuning. + MCPListToolsTool: + properties: + input_schema: + additionalProperties: true + type: object + title: Input Schema + name: + type: string + title: Name + description: + anyOf: + - type: string + - type: 'null' + title: Description + type: object + required: + - input_schema + - name + title: MCPListToolsTool + description: Tool definition returned by MCP list tools operation. + Model: + properties: + identifier: + type: string + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: + type: string + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: model + title: Type + default: model + metadata: + additionalProperties: true + type: object + title: Metadata + description: Any additional metadata for this model + model_type: + $ref: '#/components/schemas/ModelType' + default: llm + type: object + required: + - identifier + - provider_id + title: Model + description: A model resource representing an AI model registered in Llama Stack. + ModelCandidate: + properties: + type: + type: string + const: model + title: Type + default: model + model: + type: string + title: Model + sampling_params: + $ref: '#/components/schemas/SamplingParams' + system_message: + anyOf: + - $ref: '#/components/schemas/SystemMessage' + - type: 'null' + type: object + required: + - model + - sampling_params + title: ModelCandidate + description: A model candidate for evaluation. + ModelType: + type: string + enum: + - llm + - embedding + - rerank + title: ModelType + description: Enumeration of supported model types in Llama Stack. + ModerationObject: + properties: + id: + type: string + title: Id + model: + type: string + title: Model + results: + items: + $ref: '#/components/schemas/ModerationObjectResults' + type: array + title: Results + type: object + required: + - id + - model + - results + title: ModerationObject + description: A moderation object. + ModerationObjectResults: + properties: + flagged: + type: boolean + title: Flagged + categories: + anyOf: + - additionalProperties: + type: boolean + type: object + - type: 'null' + title: Categories + category_applied_input_types: + anyOf: + - additionalProperties: + items: + type: string + type: array + type: object + - type: 'null' + title: Category Applied Input Types + category_scores: + anyOf: + - additionalProperties: + type: number + type: object + - type: 'null' + title: Category Scores + user_message: + anyOf: + - type: string + - type: 'null' + title: User Message + metadata: + additionalProperties: true + type: object + title: Metadata + type: object + required: + - flagged + title: ModerationObjectResults + description: A moderation object. + NumberType: + properties: + type: + type: string + const: number + title: Type + default: number + type: object + title: NumberType + description: Parameter type for numeric values. + ObjectType: + properties: + type: + type: string + const: object + title: Type + default: object + type: object + title: ObjectType + description: Parameter type for object values. + OpenAIAssistantMessageParam-Input: properties: role: type: string const: assistant + title: Role default: assistant - description: >- - Must be "assistant" to identify this as the model's response content: - oneOf: - - type: string - - type: array - items: - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' - description: The content of the model's response + anyOf: + - type: string + - items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + - type: 'null' + title: Content name: - type: string - description: >- - (Optional) The name of the assistant message participant. + anyOf: + - type: string + - type: 'null' + title: Name tool_calls: - type: array - items: - $ref: '#/components/schemas/OpenAIChatCompletionToolCall' - description: >- - List of tool calls. Each tool call is an OpenAIChatCompletionToolCall - object. - additionalProperties: false - required: - - role - title: OpenAIAssistantMessageParam - description: >- - A message containing the model's (assistant) response in an OpenAI-compatible - chat completion request. - "OpenAIChatCompletionContentPartImageParam": + anyOf: + - items: + $ref: '#/components/schemas/OpenAIChatCompletionToolCall' + type: array + - type: 'null' + title: Tool Calls type: object + title: OpenAIAssistantMessageParam + description: A message containing the model's (assistant) response in an OpenAI-compatible chat completion request. + OpenAIAssistantMessageParam-Output: + properties: + role: + type: string + const: assistant + title: Role + default: assistant + content: + anyOf: + - type: string + - items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + - type: 'null' + title: Content + name: + anyOf: + - type: string + - type: 'null' + title: Name + tool_calls: + anyOf: + - items: + $ref: '#/components/schemas/OpenAIChatCompletionToolCall' + type: array + - type: 'null' + title: Tool Calls + type: object + title: OpenAIAssistantMessageParam + description: A message containing the model's (assistant) response in an OpenAI-compatible chat completion request. + OpenAIChatCompletion: + properties: + id: + type: string + title: Id + choices: + items: + $ref: '#/components/schemas/OpenAIChoice-Output' + type: array + title: Choices + object: + type: string + const: chat.completion + title: Object + default: chat.completion + created: + type: integer + title: Created + model: + type: string + title: Model + usage: + anyOf: + - $ref: '#/components/schemas/OpenAIChatCompletionUsage' + - type: 'null' + type: object + required: + - id + - choices + - created + - model + title: OpenAIChatCompletion + description: Response from an OpenAI-compatible chat completion request. + OpenAIChatCompletionContentPartImageParam: properties: type: type: string const: image_url + title: Type default: image_url - description: >- - Must be "image_url" to identify this as image content image_url: $ref: '#/components/schemas/OpenAIImageURL' - description: >- - Image URL specification and processing details - additionalProperties: false - required: - - type - - image_url - title: >- - OpenAIChatCompletionContentPartImageParam - description: >- - Image content part for OpenAI-compatible chat completion messages. - OpenAIChatCompletionContentPartParam: - oneOf: - - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' - - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' - - $ref: '#/components/schemas/OpenAIFile' - discriminator: - propertyName: type - mapping: - text: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' - image_url: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' - file: '#/components/schemas/OpenAIFile' - OpenAIChatCompletionContentPartTextParam: type: object + required: + - image_url + title: OpenAIChatCompletionContentPartImageParam + description: Image content part for OpenAI-compatible chat completion messages. + OpenAIChatCompletionContentPartTextParam: properties: type: type: string const: text + title: Type default: text - description: >- - Must be "text" to identify this as text content text: type: string - description: The text content of the message - additionalProperties: false - required: - - type - - text - title: OpenAIChatCompletionContentPartTextParam - description: >- - Text content part for OpenAI-compatible chat completion messages. - OpenAIChatCompletionToolCall: + title: Text type: object + required: + - text + title: OpenAIChatCompletionContentPartTextParam + description: Text content part for OpenAI-compatible chat completion messages. + OpenAIChatCompletionRequestWithExtraBody: + properties: + model: + type: string + title: Model + messages: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIUserMessageParam-Input' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam-Input' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + discriminator: + propertyName: role + mapping: + assistant: '#/components/schemas/OpenAIAssistantMessageParam-Input' + developer: '#/components/schemas/OpenAIDeveloperMessageParam' + system: '#/components/schemas/OpenAISystemMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + user: '#/components/schemas/OpenAIUserMessageParam-Input' + type: array + minItems: 1 + title: Messages + frequency_penalty: + anyOf: + - type: number + - type: 'null' + title: Frequency Penalty + function_call: + anyOf: + - type: string + - additionalProperties: true + type: object + - type: 'null' + title: Function Call + functions: + anyOf: + - items: + additionalProperties: true + type: object + type: array + - type: 'null' + title: Functions + logit_bias: + anyOf: + - additionalProperties: + type: number + type: object + - type: 'null' + title: Logit Bias + logprobs: + anyOf: + - type: boolean + - type: 'null' + title: Logprobs + max_completion_tokens: + anyOf: + - type: integer + - type: 'null' + title: Max Completion Tokens + max_tokens: + anyOf: + - type: integer + - type: 'null' + title: Max Tokens + n: + anyOf: + - type: integer + - type: 'null' + title: N + parallel_tool_calls: + anyOf: + - type: boolean + - type: 'null' + title: Parallel Tool Calls + presence_penalty: + anyOf: + - type: number + - type: 'null' + title: Presence Penalty + response_format: + anyOf: + - oneOf: + - $ref: '#/components/schemas/OpenAIResponseFormatText' + - $ref: '#/components/schemas/OpenAIResponseFormatJSONSchema' + - $ref: '#/components/schemas/OpenAIResponseFormatJSONObject' + discriminator: + propertyName: type + mapping: + json_object: '#/components/schemas/OpenAIResponseFormatJSONObject' + json_schema: '#/components/schemas/OpenAIResponseFormatJSONSchema' + text: '#/components/schemas/OpenAIResponseFormatText' + - type: 'null' + title: Response Format + seed: + anyOf: + - type: integer + - type: 'null' + title: Seed + stop: + anyOf: + - type: string + - items: + type: string + type: array + - type: 'null' + title: Stop + stream: + anyOf: + - type: boolean + - type: 'null' + title: Stream + stream_options: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Stream Options + temperature: + anyOf: + - type: number + - type: 'null' + title: Temperature + tool_choice: + anyOf: + - type: string + - additionalProperties: true + type: object + - type: 'null' + title: Tool Choice + tools: + anyOf: + - items: + additionalProperties: true + type: object + type: array + - type: 'null' + title: Tools + top_logprobs: + anyOf: + - type: integer + - type: 'null' + title: Top Logprobs + top_p: + anyOf: + - type: number + - type: 'null' + title: Top P + user: + anyOf: + - type: string + - type: 'null' + title: User + additionalProperties: true + type: object + required: + - model + - messages + title: OpenAIChatCompletionRequestWithExtraBody + description: Request parameters for OpenAI-compatible chat completion endpoint. + OpenAIChatCompletionToolCall: properties: index: - type: integer - description: >- - (Optional) Index of the tool call in the list + anyOf: + - type: integer + - type: 'null' + title: Index id: - type: string - description: >- - (Optional) Unique identifier for the tool call + anyOf: + - type: string + - type: 'null' + title: Id type: type: string const: function + title: Type default: function - description: >- - Must be "function" to identify this as a function call function: - $ref: '#/components/schemas/OpenAIChatCompletionToolCallFunction' - description: (Optional) Function call details - additionalProperties: false - required: - - type - title: OpenAIChatCompletionToolCall - description: >- - Tool call specification for OpenAI-compatible chat completion responses. - OpenAIChatCompletionToolCallFunction: + anyOf: + - $ref: '#/components/schemas/OpenAIChatCompletionToolCallFunction' + - type: 'null' type: object + title: OpenAIChatCompletionToolCall + description: Tool call specification for OpenAI-compatible chat completion responses. + OpenAIChatCompletionToolCallFunction: properties: name: - type: string - description: (Optional) Name of the function to call + anyOf: + - type: string + - type: 'null' + title: Name arguments: - type: string - description: >- - (Optional) Arguments to pass to the function as a JSON string - additionalProperties: false - title: OpenAIChatCompletionToolCallFunction - description: >- - Function call details for OpenAI-compatible tool calls. - OpenAIChatCompletionUsage: + anyOf: + - type: string + - type: 'null' + title: Arguments type: object + title: OpenAIChatCompletionToolCallFunction + description: Function call details for OpenAI-compatible tool calls. + OpenAIChatCompletionUsage: properties: prompt_tokens: type: integer - description: Number of tokens in the prompt + title: Prompt Tokens completion_tokens: type: integer - description: Number of tokens in the completion + title: Completion Tokens total_tokens: type: integer - description: Total tokens used (prompt + completion) + title: Total Tokens prompt_tokens_details: - type: object - properties: - cached_tokens: - type: integer - description: Number of tokens retrieved from cache - additionalProperties: false - title: >- - OpenAIChatCompletionUsagePromptTokensDetails - description: >- - Token details for prompt tokens in OpenAI chat completion usage. + anyOf: + - $ref: '#/components/schemas/OpenAIChatCompletionUsagePromptTokensDetails' + - type: 'null' completion_tokens_details: - type: object - properties: - reasoning_tokens: - type: integer - description: >- - Number of tokens used for reasoning (o1/o3 models) - additionalProperties: false - title: >- - OpenAIChatCompletionUsageCompletionTokensDetails - description: >- - Token details for output tokens in OpenAI chat completion usage. - additionalProperties: false - required: - - prompt_tokens - - completion_tokens - - total_tokens - title: OpenAIChatCompletionUsage - description: >- - Usage information for OpenAI chat completion. - OpenAIChoice: + anyOf: + - $ref: '#/components/schemas/OpenAIChatCompletionUsageCompletionTokensDetails' + - type: 'null' type: object + required: + - prompt_tokens + - completion_tokens + - total_tokens + title: OpenAIChatCompletionUsage + description: Usage information for OpenAI chat completion. + OpenAIChatCompletionUsageCompletionTokensDetails: + properties: + reasoning_tokens: + anyOf: + - type: integer + - type: 'null' + title: Reasoning Tokens + type: object + title: OpenAIChatCompletionUsageCompletionTokensDetails + description: Token details for output tokens in OpenAI chat completion usage. + OpenAIChatCompletionUsagePromptTokensDetails: + properties: + cached_tokens: + anyOf: + - type: integer + - type: 'null' + title: Cached Tokens + type: object + title: OpenAIChatCompletionUsagePromptTokensDetails + description: Token details for prompt tokens in OpenAI chat completion usage. + OpenAIChoice-Output: properties: message: oneOf: - - $ref: '#/components/schemas/OpenAIUserMessageParam' - - $ref: '#/components/schemas/OpenAISystemMessageParam' - - $ref: '#/components/schemas/OpenAIAssistantMessageParam' - - $ref: '#/components/schemas/OpenAIToolMessageParam' - - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + - $ref: '#/components/schemas/OpenAIUserMessageParam-Output' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam-Output' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + title: Message discriminator: propertyName: role mapping: - user: '#/components/schemas/OpenAIUserMessageParam' - system: '#/components/schemas/OpenAISystemMessageParam' - assistant: '#/components/schemas/OpenAIAssistantMessageParam' - tool: '#/components/schemas/OpenAIToolMessageParam' + assistant: '#/components/schemas/OpenAIAssistantMessageParam-Output' developer: '#/components/schemas/OpenAIDeveloperMessageParam' - description: The message from the model + system: '#/components/schemas/OpenAISystemMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + user: '#/components/schemas/OpenAIUserMessageParam-Output' finish_reason: type: string - description: The reason the model stopped generating + title: Finish Reason index: type: integer - description: The index of the choice + title: Index logprobs: - $ref: '#/components/schemas/OpenAIChoiceLogprobs' - description: >- - (Optional) The log probabilities for the tokens in the message - additionalProperties: false - required: - - message - - finish_reason - - index - title: OpenAIChoice - description: >- - A choice from an OpenAI-compatible chat completion response. - OpenAIChoiceLogprobs: + anyOf: + - $ref: '#/components/schemas/OpenAIChoiceLogprobs-Output' + - type: 'null' type: object + required: + - message + - finish_reason + - index + title: OpenAIChoice + description: A choice from an OpenAI-compatible chat completion response. + OpenAIChoiceLogprobs-Output: properties: content: - type: array - items: - $ref: '#/components/schemas/OpenAITokenLogProb' - description: >- - (Optional) The log probabilities for the tokens in the message + anyOf: + - items: + $ref: '#/components/schemas/OpenAITokenLogProb' + type: array + - type: 'null' + title: Content refusal: - type: array - items: - $ref: '#/components/schemas/OpenAITokenLogProb' - description: >- - (Optional) The log probabilities for the tokens in the message - additionalProperties: false - title: OpenAIChoiceLogprobs - description: >- - The log probabilities for the tokens in the message from an OpenAI-compatible - chat completion response. - OpenAIDeveloperMessageParam: + anyOf: + - items: + $ref: '#/components/schemas/OpenAITokenLogProb' + type: array + - type: 'null' + title: Refusal type: object + title: OpenAIChoiceLogprobs + description: The log probabilities for the tokens in the message from an OpenAI-compatible chat completion response. + OpenAICompletion: + properties: + id: + type: string + title: Id + choices: + items: + $ref: '#/components/schemas/OpenAICompletionChoice-Output' + type: array + title: Choices + created: + type: integer + title: Created + model: + type: string + title: Model + object: + type: string + const: text_completion + title: Object + default: text_completion + type: object + required: + - id + - choices + - created + - model + title: OpenAICompletion + description: |- + Response from an OpenAI-compatible completion request. + + :id: The ID of the completion + :choices: List of choices + :created: The Unix timestamp in seconds when the completion was created + :model: The model that was used to generate the completion + :object: The object type, which will be "text_completion" + OpenAICompletionChoice-Output: + properties: + finish_reason: + type: string + title: Finish Reason + text: + type: string + title: Text + index: + type: integer + title: Index + logprobs: + anyOf: + - $ref: '#/components/schemas/OpenAIChoiceLogprobs-Output' + - type: 'null' + type: object + required: + - finish_reason + - text + - index + title: OpenAICompletionChoice + description: |- + A choice from an OpenAI-compatible completion response. + + :finish_reason: The reason the model stopped generating + :text: The text of the choice + :index: The index of the choice + :logprobs: (Optional) The log probabilities for the tokens in the choice + OpenAICompletionRequestWithExtraBody: + properties: + model: + type: string + title: Model + prompt: + anyOf: + - type: string + - items: + type: string + type: array + - items: + type: integer + type: array + - items: + items: + type: integer + type: array + type: array + title: Prompt + best_of: + anyOf: + - type: integer + - type: 'null' + title: Best Of + echo: + anyOf: + - type: boolean + - type: 'null' + title: Echo + frequency_penalty: + anyOf: + - type: number + - type: 'null' + title: Frequency Penalty + logit_bias: + anyOf: + - additionalProperties: + type: number + type: object + - type: 'null' + title: Logit Bias + logprobs: + anyOf: + - type: boolean + - type: 'null' + title: Logprobs + max_tokens: + anyOf: + - type: integer + - type: 'null' + title: Max Tokens + n: + anyOf: + - type: integer + - type: 'null' + title: N + presence_penalty: + anyOf: + - type: number + - type: 'null' + title: Presence Penalty + seed: + anyOf: + - type: integer + - type: 'null' + title: Seed + stop: + anyOf: + - type: string + - items: + type: string + type: array + - type: 'null' + title: Stop + stream: + anyOf: + - type: boolean + - type: 'null' + title: Stream + stream_options: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Stream Options + temperature: + anyOf: + - type: number + - type: 'null' + title: Temperature + top_p: + anyOf: + - type: number + - type: 'null' + title: Top P + user: + anyOf: + - type: string + - type: 'null' + title: User + suffix: + anyOf: + - type: string + - type: 'null' + title: Suffix + additionalProperties: true + type: object + required: + - model + - prompt + title: OpenAICompletionRequestWithExtraBody + description: Request parameters for OpenAI-compatible completion endpoint. + OpenAICompletionWithInputMessages: + properties: + id: + type: string + title: Id + choices: + items: + $ref: '#/components/schemas/OpenAIChoice-Output' + type: array + title: Choices + object: + type: string + const: chat.completion + title: Object + default: chat.completion + created: + type: integer + title: Created + model: + type: string + title: Model + usage: + anyOf: + - $ref: '#/components/schemas/OpenAIChatCompletionUsage' + - type: 'null' + input_messages: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIUserMessageParam-Output' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam-Output' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + discriminator: + propertyName: role + mapping: + assistant: '#/components/schemas/OpenAIAssistantMessageParam-Output' + developer: '#/components/schemas/OpenAIDeveloperMessageParam' + system: '#/components/schemas/OpenAISystemMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + user: '#/components/schemas/OpenAIUserMessageParam-Output' + type: array + title: Input Messages + type: object + required: + - id + - choices + - created + - model + - input_messages + title: OpenAICompletionWithInputMessages + OpenAICreateVectorStoreFileBatchRequestWithExtraBody: + properties: + file_ids: + items: + type: string + type: array + title: File Ids + attributes: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Attributes + chunking_strategy: + anyOf: + - oneOf: + - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' + - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + discriminator: + propertyName: type + mapping: + auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' + static: '#/components/schemas/VectorStoreChunkingStrategyStatic' + - type: 'null' + title: Chunking Strategy + additionalProperties: true + type: object + required: + - file_ids + title: OpenAICreateVectorStoreFileBatchRequestWithExtraBody + description: Request to create a vector store file batch with extra_body support. + OpenAICreateVectorStoreRequestWithExtraBody: + properties: + name: + anyOf: + - type: string + - type: 'null' + title: Name + file_ids: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: File Ids + expires_after: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Expires After + chunking_strategy: + anyOf: + - oneOf: + - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' + - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + discriminator: + propertyName: type + mapping: + auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' + static: '#/components/schemas/VectorStoreChunkingStrategyStatic' + - type: 'null' + title: Chunking Strategy + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + additionalProperties: true + type: object + title: OpenAICreateVectorStoreRequestWithExtraBody + description: Request to create a vector store with extra_body support. + OpenAIDeleteResponseObject: + properties: + id: + type: string + title: Id + object: + type: string + const: response + title: Object + default: response + deleted: + type: boolean + title: Deleted + default: true + type: object + required: + - id + title: OpenAIDeleteResponseObject + description: Response object confirming deletion of an OpenAI response. + OpenAIDeveloperMessageParam: properties: role: type: string const: developer + title: Role default: developer - description: >- - Must be "developer" to identify this as a developer message content: - oneOf: - - type: string - - type: array - items: - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' - description: The content of the developer message + anyOf: + - type: string + - items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + title: Content name: - type: string - description: >- - (Optional) The name of the developer message participant. - additionalProperties: false - required: - - role - - content - title: OpenAIDeveloperMessageParam - description: >- - A message from the developer in an OpenAI-compatible chat completion request. - OpenAIFile: + anyOf: + - type: string + - type: 'null' + title: Name type: object + required: + - content + title: OpenAIDeveloperMessageParam + description: A message from the developer in an OpenAI-compatible chat completion request. + OpenAIEmbeddingData: + properties: + object: + type: string + const: embedding + title: Object + default: embedding + embedding: + anyOf: + - items: + type: number + type: array + - type: string + title: Embedding + index: + type: integer + title: Index + type: object + required: + - embedding + - index + title: OpenAIEmbeddingData + description: A single embedding data object from an OpenAI-compatible embeddings response. + OpenAIEmbeddingUsage: + properties: + prompt_tokens: + type: integer + title: Prompt Tokens + total_tokens: + type: integer + title: Total Tokens + type: object + required: + - prompt_tokens + - total_tokens + title: OpenAIEmbeddingUsage + description: Usage information for an OpenAI-compatible embeddings response. + OpenAIEmbeddingsRequestWithExtraBody: + properties: + model: + type: string + title: Model + input: + anyOf: + - type: string + - items: + type: string + type: array + title: Input + encoding_format: + anyOf: + - type: string + - type: 'null' + title: Encoding Format + default: float + dimensions: + anyOf: + - type: integer + - type: 'null' + title: Dimensions + user: + anyOf: + - type: string + - type: 'null' + title: User + additionalProperties: true + type: object + required: + - model + - input + title: OpenAIEmbeddingsRequestWithExtraBody + description: Request parameters for OpenAI-compatible embeddings endpoint. + OpenAIEmbeddingsResponse: + properties: + object: + type: string + const: list + title: Object + default: list + data: + items: + $ref: '#/components/schemas/OpenAIEmbeddingData' + type: array + title: Data + model: + type: string + title: Model + usage: + $ref: '#/components/schemas/OpenAIEmbeddingUsage' + type: object + required: + - data + - model + - usage + title: OpenAIEmbeddingsResponse + description: Response from an OpenAI-compatible embeddings request. + OpenAIFile: properties: type: type: string const: file + title: Type default: file file: $ref: '#/components/schemas/OpenAIFileFile' - additionalProperties: false - required: - - type - - file - title: OpenAIFile - OpenAIFileFile: type: object + required: + - file + title: OpenAIFile + OpenAIFileDeleteResponse: + properties: + id: + type: string + title: Id + object: + type: string + const: file + title: Object + default: file + deleted: + type: boolean + title: Deleted + type: object + required: + - id + - deleted + title: OpenAIFileDeleteResponse + description: Response for deleting a file in OpenAI Files API. + OpenAIFileFile: properties: file_data: - type: string + anyOf: + - type: string + - type: 'null' + title: File Data file_id: + anyOf: + - type: string + - type: 'null' + title: File Id + filename: + anyOf: + - type: string + - type: 'null' + title: Filename + type: object + title: OpenAIFileFile + OpenAIFileObject: + properties: + object: type: string + const: file + title: Object + default: file + id: + type: string + title: Id + bytes: + type: integer + title: Bytes + created_at: + type: integer + title: Created At + expires_at: + type: integer + title: Expires At filename: type: string - additionalProperties: false - title: OpenAIFileFile - OpenAIImageURL: + title: Filename + purpose: + $ref: '#/components/schemas/OpenAIFilePurpose' type: object + required: + - id + - bytes + - created_at + - expires_at + - filename + - purpose + title: OpenAIFileObject + description: OpenAI File object as defined in the OpenAI Files API. + OpenAIFilePurpose: + type: string + enum: + - assistants + - batch + title: OpenAIFilePurpose + description: Valid purpose values for OpenAI Files API. + OpenAIImageURL: properties: url: type: string - description: >- - URL of the image to include in the message + title: Url detail: - type: string - description: >- - (Optional) Level of detail for image processing. Can be "low", "high", - or "auto" - additionalProperties: false + anyOf: + - type: string + - type: 'null' + title: Detail + type: object required: - - url + - url title: OpenAIImageURL - description: >- - Image URL specification for OpenAI-compatible chat completion messages. - OpenAIMessageParam: - oneOf: - - $ref: '#/components/schemas/OpenAIUserMessageParam' - - $ref: '#/components/schemas/OpenAISystemMessageParam' - - $ref: '#/components/schemas/OpenAIAssistantMessageParam' - - $ref: '#/components/schemas/OpenAIToolMessageParam' - - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' - discriminator: - propertyName: role - mapping: - user: '#/components/schemas/OpenAIUserMessageParam' - system: '#/components/schemas/OpenAISystemMessageParam' - assistant: '#/components/schemas/OpenAIAssistantMessageParam' - tool: '#/components/schemas/OpenAIToolMessageParam' - developer: '#/components/schemas/OpenAIDeveloperMessageParam' - OpenAISystemMessageParam: - type: object - properties: - role: - type: string - const: system - default: system - description: >- - Must be "system" to identify this as a system message - content: - oneOf: - - type: string - - type: array - items: - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' - description: >- - The content of the "system prompt". If multiple system messages are provided, - they are concatenated. The underlying Llama Stack code may also add other - system messages (for example, for formatting tool definitions). - name: - type: string - description: >- - (Optional) The name of the system message participant. - additionalProperties: false - required: - - role - - content - title: OpenAISystemMessageParam - description: >- - A system message providing instructions or context to the model. - OpenAITokenLogProb: - type: object - properties: - token: - type: string - bytes: - type: array - items: - type: integer - logprob: - type: number - top_logprobs: - type: array - items: - $ref: '#/components/schemas/OpenAITopLogProb' - additionalProperties: false - required: - - token - - logprob - - top_logprobs - title: OpenAITokenLogProb - description: >- - The log probability for a token from an OpenAI-compatible chat completion - response. - OpenAIToolMessageParam: - type: object - properties: - role: - type: string - const: tool - default: tool - description: >- - Must be "tool" to identify this as a tool response - tool_call_id: - type: string - description: >- - Unique identifier for the tool call this response is for - content: - oneOf: - - type: string - - type: array - items: - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' - description: The response content from the tool - additionalProperties: false - required: - - role - - tool_call_id - - content - title: OpenAIToolMessageParam - description: >- - A message representing the result of a tool invocation in an OpenAI-compatible - chat completion request. - OpenAITopLogProb: - type: object - properties: - token: - type: string - bytes: - type: array - items: - type: integer - logprob: - type: number - additionalProperties: false - required: - - token - - logprob - title: OpenAITopLogProb - description: >- - The top log probability for a token from an OpenAI-compatible chat completion - response. - OpenAIUserMessageParam: - type: object - properties: - role: - type: string - const: user - default: user - description: >- - Must be "user" to identify this as a user message - content: - oneOf: - - type: string - - type: array - items: - $ref: '#/components/schemas/OpenAIChatCompletionContentPartParam' - description: >- - The content of the message, which can include text and other media - name: - type: string - description: >- - (Optional) The name of the user message participant. - additionalProperties: false - required: - - role - - content - title: OpenAIUserMessageParam - description: >- - A message from the user in an OpenAI-compatible chat completion request. + description: Image URL specification for OpenAI-compatible chat completion messages. OpenAIJSONSchema: - type: object properties: name: type: string - description: Name of the schema + title: Name description: - type: string - description: (Optional) Description of the schema + anyOf: + - type: string + - type: 'null' + title: Description strict: - type: boolean - description: >- - (Optional) Whether to enforce strict adherence to the schema + anyOf: + - type: boolean + - type: 'null' + title: Strict schema: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: (Optional) The JSON schema definition - additionalProperties: false - required: - - name - title: OpenAIJSONSchema - description: >- - JSON schema specification for OpenAI-compatible structured response format. - OpenAIResponseFormatJSONObject: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Schema type: object + title: OpenAIJSONSchema + description: JSON schema specification for OpenAI-compatible structured response format. + OpenAIListModelsResponse: + properties: + data: + items: + $ref: '#/components/schemas/OpenAIModel' + type: array + title: Data + type: object + required: + - data + title: OpenAIListModelsResponse + OpenAIModel: + properties: + id: + type: string + title: Id + object: + type: string + const: model + title: Object + default: model + created: + type: integer + title: Created + owned_by: + type: string + title: Owned By + custom_metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Custom Metadata + type: object + required: + - id + - created + - owned_by + title: OpenAIModel + description: |- + A model from OpenAI. + + :id: The ID of the model + :object: The object type, which will be "model" + :created: The Unix timestamp in seconds when the model was created + :owned_by: The owner of the model + :custom_metadata: Llama Stack-specific metadata including model_type, provider info, and additional metadata + OpenAIResponseAnnotationCitation: + properties: + type: + type: string + const: url_citation + title: Type + default: url_citation + end_index: + type: integer + title: End Index + start_index: + type: integer + title: Start Index + title: + type: string + title: Title + url: + type: string + title: Url + type: object + required: + - end_index + - start_index + - title + - url + title: OpenAIResponseAnnotationCitation + description: URL citation annotation for referencing external web resources. + OpenAIResponseAnnotationContainerFileCitation: + properties: + type: + type: string + const: container_file_citation + title: Type + default: container_file_citation + container_id: + type: string + title: Container Id + end_index: + type: integer + title: End Index + file_id: + type: string + title: File Id + filename: + type: string + title: Filename + start_index: + type: integer + title: Start Index + type: object + required: + - container_id + - end_index + - file_id + - filename + - start_index + title: OpenAIResponseAnnotationContainerFileCitation + OpenAIResponseAnnotationFileCitation: + properties: + type: + type: string + const: file_citation + title: Type + default: file_citation + file_id: + type: string + title: File Id + filename: + type: string + title: Filename + index: + type: integer + title: Index + type: object + required: + - file_id + - filename + - index + title: OpenAIResponseAnnotationFileCitation + description: File citation annotation for referencing specific files in response content. + OpenAIResponseAnnotationFilePath: + properties: + type: + type: string + const: file_path + title: Type + default: file_path + file_id: + type: string + title: File Id + index: + type: integer + title: Index + type: object + required: + - file_id + - index + title: OpenAIResponseAnnotationFilePath + OpenAIResponseContentPartRefusal: + properties: + type: + type: string + const: refusal + title: Type + default: refusal + refusal: + type: string + title: Refusal + type: object + required: + - refusal + title: OpenAIResponseContentPartRefusal + description: Refusal content within a streamed response part. + OpenAIResponseError: + properties: + code: + type: string + title: Code + message: + type: string + title: Message + type: object + required: + - code + - message + title: OpenAIResponseError + description: Error details for failed OpenAI response requests. + OpenAIResponseFormatJSONObject: properties: type: type: string const: json_object + title: Type default: json_object - description: >- - Must be "json_object" to indicate generic JSON object response format - additionalProperties: false - required: - - type - title: OpenAIResponseFormatJSONObject - description: >- - JSON object response format for OpenAI-compatible chat completion requests. - OpenAIResponseFormatJSONSchema: type: object + title: OpenAIResponseFormatJSONObject + description: JSON object response format for OpenAI-compatible chat completion requests. + OpenAIResponseFormatJSONSchema: properties: type: type: string const: json_schema + title: Type default: json_schema - description: >- - Must be "json_schema" to indicate structured JSON response format json_schema: $ref: '#/components/schemas/OpenAIJSONSchema' - description: >- - The JSON schema specification for the response - additionalProperties: false - required: - - type - - json_schema - title: OpenAIResponseFormatJSONSchema - description: >- - JSON schema response format for OpenAI-compatible chat completion requests. - OpenAIResponseFormatParam: - oneOf: - - $ref: '#/components/schemas/OpenAIResponseFormatText' - - $ref: '#/components/schemas/OpenAIResponseFormatJSONSchema' - - $ref: '#/components/schemas/OpenAIResponseFormatJSONObject' - discriminator: - propertyName: type - mapping: - text: '#/components/schemas/OpenAIResponseFormatText' - json_schema: '#/components/schemas/OpenAIResponseFormatJSONSchema' - json_object: '#/components/schemas/OpenAIResponseFormatJSONObject' - OpenAIResponseFormatText: type: object + required: + - json_schema + title: OpenAIResponseFormatJSONSchema + description: JSON schema response format for OpenAI-compatible chat completion requests. + OpenAIResponseFormatText: properties: type: type: string const: text + title: Type default: text - description: >- - Must be "text" to indicate plain text response format - additionalProperties: false - required: - - type + type: object title: OpenAIResponseFormatText - description: >- - Text response format for OpenAI-compatible chat completion requests. - OpenAIChatCompletionRequestWithExtraBody: - type: object + description: Text response format for OpenAI-compatible chat completion requests. + OpenAIResponseInputFunctionToolCallOutput: properties: - model: + call_id: type: string - description: >- - The identifier of the model to use. The model must be registered with - Llama Stack and available via the /models endpoint. - messages: - type: array - items: - $ref: '#/components/schemas/OpenAIMessageParam' - description: List of messages in the conversation. - frequency_penalty: - type: number - description: >- - (Optional) The penalty for repeated tokens. - function_call: - oneOf: - - type: string - - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: (Optional) The function call to use. - functions: - type: array - items: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: (Optional) List of functions to use. - logit_bias: - type: object - additionalProperties: - type: number - description: (Optional) The logit bias to use. - logprobs: - type: boolean - description: (Optional) The log probabilities to use. - max_completion_tokens: - type: integer - description: >- - (Optional) The maximum number of tokens to generate. - max_tokens: - type: integer - description: >- - (Optional) The maximum number of tokens to generate. - n: - type: integer - description: >- - (Optional) The number of completions to generate. - parallel_tool_calls: - type: boolean - description: >- - (Optional) Whether to parallelize tool calls. - presence_penalty: - type: number - description: >- - (Optional) The penalty for repeated tokens. - response_format: - $ref: '#/components/schemas/OpenAIResponseFormatParam' - description: (Optional) The response format to use. - seed: - type: integer - description: (Optional) The seed to use. - stop: - oneOf: - - type: string - - type: array - items: - type: string - description: (Optional) The stop tokens to use. - stream: - type: boolean - description: >- - (Optional) Whether to stream the response. - stream_options: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: (Optional) The stream options to use. - temperature: - type: number - description: (Optional) The temperature to use. - tool_choice: - oneOf: - - type: string - - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: (Optional) The tool choice to use. - tools: - type: array - items: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: (Optional) The tools to use. - top_logprobs: - type: integer - description: >- - (Optional) The top log probabilities to use. - top_p: - type: number - description: (Optional) The top p to use. - user: + title: Call Id + output: type: string - description: (Optional) The user to use. - additionalProperties: false - required: - - model - - messages - title: OpenAIChatCompletionRequestWithExtraBody - description: >- - Request parameters for OpenAI-compatible chat completion endpoint. - OpenAIChatCompletion: - type: object - properties: + title: Output + type: + type: string + const: function_call_output + title: Type + default: function_call_output id: - type: string - description: The ID of the chat completion - choices: - type: array - items: - $ref: '#/components/schemas/OpenAIChoice' - description: List of choices - object: - type: string - const: chat.completion - default: chat.completion - description: >- - The object type, which will be "chat.completion" - created: - type: integer - description: >- - The Unix timestamp in seconds when the chat completion was created - model: - type: string - description: >- - The model that was used to generate the chat completion - usage: - $ref: '#/components/schemas/OpenAIChatCompletionUsage' - description: >- - Token usage information for the completion - additionalProperties: false + anyOf: + - type: string + - type: 'null' + title: Id + status: + anyOf: + - type: string + - type: 'null' + title: Status + type: object required: - - id - - choices - - object - - created - - model - title: OpenAIChatCompletion - description: >- - Response from an OpenAI-compatible chat completion request. - OpenAIChatCompletionChunk: - type: object + - call_id + - output + title: OpenAIResponseInputFunctionToolCallOutput + description: This represents the output of a function call that gets passed back to the model. + OpenAIResponseInputMessageContentFile: properties: - id: + type: type: string - description: The ID of the chat completion - choices: - type: array - items: - $ref: '#/components/schemas/OpenAIChunkChoice' - description: List of choices - object: - type: string - const: chat.completion.chunk - default: chat.completion.chunk - description: >- - The object type, which will be "chat.completion.chunk" - created: - type: integer - description: >- - The Unix timestamp in seconds when the chat completion was created - model: - type: string - description: >- - The model that was used to generate the chat completion - usage: - $ref: '#/components/schemas/OpenAIChatCompletionUsage' - description: >- - Token usage information (typically included in final chunk with stream_options) - additionalProperties: false - required: - - id - - choices - - object - - created - - model - title: OpenAIChatCompletionChunk - description: >- - Chunk from a streaming response to an OpenAI-compatible chat completion request. - OpenAIChoiceDelta: + const: input_file + title: Type + default: input_file + file_data: + anyOf: + - type: string + - type: 'null' + title: File Data + file_id: + anyOf: + - type: string + - type: 'null' + title: File Id + file_url: + anyOf: + - type: string + - type: 'null' + title: File Url + filename: + anyOf: + - type: string + - type: 'null' + title: Filename type: object + title: OpenAIResponseInputMessageContentFile + description: File content for input messages in OpenAI response format. + OpenAIResponseInputMessageContentImage: properties: - content: + detail: + anyOf: + - type: string + const: low + - type: string + const: high + - type: string + const: auto + title: Detail + default: auto + type: type: string - description: (Optional) The content of the delta - refusal: - type: string - description: (Optional) The refusal of the delta - role: - type: string - description: (Optional) The role of the delta - tool_calls: - type: array - items: - $ref: '#/components/schemas/OpenAIChatCompletionToolCall' - description: (Optional) The tool calls of the delta - reasoning_content: - type: string - description: >- - (Optional) The reasoning content from the model (non-standard, for o1/o3 - models) - additionalProperties: false - title: OpenAIChoiceDelta - description: >- - A delta from an OpenAI-compatible chat completion streaming response. - OpenAIChunkChoice: + const: input_image + title: Type + default: input_image + file_id: + anyOf: + - type: string + - type: 'null' + title: File Id + image_url: + anyOf: + - type: string + - type: 'null' + title: Image Url type: object + title: OpenAIResponseInputMessageContentImage + description: Image content for input messages in OpenAI response format. + OpenAIResponseInputMessageContentText: properties: - delta: - $ref: '#/components/schemas/OpenAIChoiceDelta' - description: The delta from the chunk - finish_reason: - type: string - description: The reason the model stopped generating - index: - type: integer - description: The index of the choice - logprobs: - $ref: '#/components/schemas/OpenAIChoiceLogprobs' - description: >- - (Optional) The log probabilities for the tokens in the message - additionalProperties: false - required: - - delta - - finish_reason - - index - title: OpenAIChunkChoice - description: >- - A chunk choice from an OpenAI-compatible chat completion streaming response. - OpenAICompletionWithInputMessages: - type: object - properties: - id: - type: string - description: The ID of the chat completion - choices: - type: array - items: - $ref: '#/components/schemas/OpenAIChoice' - description: List of choices - object: - type: string - const: chat.completion - default: chat.completion - description: >- - The object type, which will be "chat.completion" - created: - type: integer - description: >- - The Unix timestamp in seconds when the chat completion was created - model: - type: string - description: >- - The model that was used to generate the chat completion - usage: - $ref: '#/components/schemas/OpenAIChatCompletionUsage' - description: >- - Token usage information for the completion - input_messages: - type: array - items: - $ref: '#/components/schemas/OpenAIMessageParam' - additionalProperties: false - required: - - id - - choices - - object - - created - - model - - input_messages - title: OpenAICompletionWithInputMessages - OpenAICompletionRequestWithExtraBody: - type: object - properties: - model: - type: string - description: >- - The identifier of the model to use. The model must be registered with - Llama Stack and available via the /models endpoint. - prompt: - oneOf: - - type: string - - type: array - items: - type: string - - type: array - items: - type: integer - - type: array - items: - type: array - items: - type: integer - description: The prompt to generate a completion for. - best_of: - type: integer - description: >- - (Optional) The number of completions to generate. - echo: - type: boolean - description: (Optional) Whether to echo the prompt. - frequency_penalty: - type: number - description: >- - (Optional) The penalty for repeated tokens. - logit_bias: - type: object - additionalProperties: - type: number - description: (Optional) The logit bias to use. - logprobs: - type: boolean - description: (Optional) The log probabilities to use. - max_tokens: - type: integer - description: >- - (Optional) The maximum number of tokens to generate. - n: - type: integer - description: >- - (Optional) The number of completions to generate. - presence_penalty: - type: number - description: >- - (Optional) The penalty for repeated tokens. - seed: - type: integer - description: (Optional) The seed to use. - stop: - oneOf: - - type: string - - type: array - items: - type: string - description: (Optional) The stop tokens to use. - stream: - type: boolean - description: >- - (Optional) Whether to stream the response. - stream_options: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: (Optional) The stream options to use. - temperature: - type: number - description: (Optional) The temperature to use. - top_p: - type: number - description: (Optional) The top p to use. - user: - type: string - description: (Optional) The user to use. - suffix: - type: string - description: >- - (Optional) The suffix that should be appended to the completion. - additionalProperties: false - required: - - model - - prompt - title: OpenAICompletionRequestWithExtraBody - description: >- - Request parameters for OpenAI-compatible completion endpoint. - OpenAICompletion: - type: object - properties: - id: - type: string - choices: - type: array - items: - $ref: '#/components/schemas/OpenAICompletionChoice' - created: - type: integer - model: - type: string - object: - type: string - const: text_completion - default: text_completion - additionalProperties: false - required: - - id - - choices - - created - - model - - object - title: OpenAICompletion - description: >- - Response from an OpenAI-compatible completion request. - OpenAICompletionChoice: - type: object - properties: - finish_reason: - type: string text: type: string + title: Text + type: + type: string + const: input_text + title: Type + default: input_text + type: object + required: + - text + title: OpenAIResponseInputMessageContentText + description: Text content for input messages in OpenAI response format. + OpenAIResponseInputToolFileSearch: + properties: + type: + type: string + const: file_search + title: Type + default: file_search + vector_store_ids: + items: + type: string + type: array + title: Vector Store Ids + filters: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Filters + max_num_results: + anyOf: + - type: integer + maximum: 50.0 + minimum: 1.0 + - type: 'null' + title: Max Num Results + default: 10 + ranking_options: + anyOf: + - $ref: '#/components/schemas/SearchRankingOptions' + - type: 'null' + type: object + required: + - vector_store_ids + title: OpenAIResponseInputToolFileSearch + description: File search tool configuration for OpenAI response inputs. + OpenAIResponseInputToolFunction: + properties: + type: + type: string + const: function + title: Type + default: function + name: + type: string + title: Name + description: + anyOf: + - type: string + - type: 'null' + title: Description + parameters: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Parameters + strict: + anyOf: + - type: boolean + - type: 'null' + title: Strict + type: object + required: + - name + - parameters + title: OpenAIResponseInputToolFunction + description: Function tool configuration for OpenAI response inputs. + OpenAIResponseInputToolWebSearch: + properties: + type: + anyOf: + - type: string + const: web_search + - type: string + const: web_search_preview + - type: string + const: web_search_preview_2025_03_11 + - type: string + const: web_search_2025_08_26 + title: Type + default: web_search + search_context_size: + anyOf: + - type: string + pattern: ^low|medium|high$ + - type: 'null' + title: Search Context Size + default: medium + type: object + title: OpenAIResponseInputToolWebSearch + description: Web search tool configuration for OpenAI response inputs. + OpenAIResponseMCPApprovalRequest: + properties: + arguments: + type: string + title: Arguments + id: + type: string + title: Id + name: + type: string + title: Name + server_label: + type: string + title: Server Label + type: + type: string + const: mcp_approval_request + title: Type + default: mcp_approval_request + type: object + required: + - arguments + - id + - name + - server_label + title: OpenAIResponseMCPApprovalRequest + description: A request for human approval of a tool invocation. + OpenAIResponseMCPApprovalResponse: + properties: + approval_request_id: + type: string + title: Approval Request Id + approve: + type: boolean + title: Approve + type: + type: string + const: mcp_approval_response + title: Type + default: mcp_approval_response + id: + anyOf: + - type: string + - type: 'null' + title: Id + reason: + anyOf: + - type: string + - type: 'null' + title: Reason + type: object + required: + - approval_request_id + - approve + title: OpenAIResponseMCPApprovalResponse + description: A response to an MCP approval request. + OpenAIResponseMessage-Input: + properties: + content: + anyOf: + - type: string + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentText' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentImage' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentFile' + discriminator: + propertyName: type + mapping: + input_file: '#/components/schemas/OpenAIResponseInputMessageContentFile' + input_image: '#/components/schemas/OpenAIResponseInputMessageContentImage' + input_text: '#/components/schemas/OpenAIResponseInputMessageContentText' + type: array + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + discriminator: + propertyName: type + mapping: + output_text: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + type: array + title: Content + role: + anyOf: + - type: string + const: system + - type: string + const: developer + - type: string + const: user + - type: string + const: assistant + title: Role + type: + type: string + const: message + title: Type + default: message + id: + anyOf: + - type: string + - type: 'null' + title: Id + status: + anyOf: + - type: string + - type: 'null' + title: Status + type: object + required: + - content + - role + title: OpenAIResponseMessage + description: |- + Corresponds to the various Message types in the Responses API. + They are all under one type because the Responses API gives them all + the same "type" value, and there is no way to tell them apart in certain + scenarios. + OpenAIResponseMessage-Output: + properties: + content: + anyOf: + - type: string + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentText' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentImage' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentFile' + discriminator: + propertyName: type + mapping: + input_file: '#/components/schemas/OpenAIResponseInputMessageContentFile' + input_image: '#/components/schemas/OpenAIResponseInputMessageContentImage' + input_text: '#/components/schemas/OpenAIResponseInputMessageContentText' + type: array + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + discriminator: + propertyName: type + mapping: + output_text: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + type: array + title: Content + role: + anyOf: + - type: string + const: system + - type: string + const: developer + - type: string + const: user + - type: string + const: assistant + title: Role + type: + type: string + const: message + title: Type + default: message + id: + anyOf: + - type: string + - type: 'null' + title: Id + status: + anyOf: + - type: string + - type: 'null' + title: Status + type: object + required: + - content + - role + title: OpenAIResponseMessage + description: |- + Corresponds to the various Message types in the Responses API. + They are all under one type because the Responses API gives them all + the same "type" value, and there is no way to tell them apart in certain + scenarios. + OpenAIResponseObject: + properties: + created_at: + type: integer + title: Created At + error: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseError' + - type: 'null' + id: + type: string + title: Id + model: + type: string + title: Model + object: + type: string + const: response + title: Object + default: response + output: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage-Output' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + discriminator: + propertyName: type + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage-Output' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + type: array + title: Output + parallel_tool_calls: + type: boolean + title: Parallel Tool Calls + default: false + previous_response_id: + anyOf: + - type: string + - type: 'null' + title: Previous Response Id + prompt: + anyOf: + - $ref: '#/components/schemas/OpenAIResponsePrompt' + - type: 'null' + status: + type: string + title: Status + temperature: + anyOf: + - type: number + - type: 'null' + title: Temperature + text: + $ref: '#/components/schemas/OpenAIResponseText' + default: + format: + type: text + top_p: + anyOf: + - type: number + - type: 'null' + title: Top P + tools: + anyOf: + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFileSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFunction' + - $ref: '#/components/schemas/OpenAIResponseToolMCP' + discriminator: + propertyName: type + mapping: + file_search: '#/components/schemas/OpenAIResponseInputToolFileSearch' + function: '#/components/schemas/OpenAIResponseInputToolFunction' + mcp: '#/components/schemas/OpenAIResponseToolMCP' + web_search: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_2025_08_26: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_preview: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_preview_2025_03_11: '#/components/schemas/OpenAIResponseInputToolWebSearch' + type: array + - type: 'null' + title: Tools + truncation: + anyOf: + - type: string + - type: 'null' + title: Truncation + usage: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseUsage' + - type: 'null' + instructions: + anyOf: + - type: string + - type: 'null' + title: Instructions + type: object + required: + - created_at + - id + - model + - output + - status + title: OpenAIResponseObject + description: Complete OpenAI response object containing generation results and metadata. + OpenAIResponseOutputMessageContentOutputText: + properties: + text: + type: string + title: Text + type: + type: string + const: output_text + title: Type + default: output_text + annotations: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationFilePath' + discriminator: + propertyName: type + mapping: + container_file_citation: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + file_citation: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + file_path: '#/components/schemas/OpenAIResponseAnnotationFilePath' + url_citation: '#/components/schemas/OpenAIResponseAnnotationCitation' + type: array + title: Annotations + type: object + required: + - text + title: OpenAIResponseOutputMessageContentOutputText + OpenAIResponseOutputMessageFileSearchToolCall: + properties: + id: + type: string + title: Id + queries: + items: + type: string + type: array + title: Queries + status: + type: string + title: Status + type: + type: string + const: file_search_call + title: Type + default: file_search_call + results: + anyOf: + - items: + $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCallResults' + type: array + - type: 'null' + title: Results + type: object + required: + - id + - queries + - status + title: OpenAIResponseOutputMessageFileSearchToolCall + description: File search tool call output message for OpenAI responses. + OpenAIResponseOutputMessageFileSearchToolCallResults: + properties: + attributes: + additionalProperties: true + type: object + title: Attributes + file_id: + type: string + title: File Id + filename: + type: string + title: Filename + score: + type: number + title: Score + text: + type: string + title: Text + type: object + required: + - attributes + - file_id + - filename + - score + - text + title: OpenAIResponseOutputMessageFileSearchToolCallResults + description: Search results returned by the file search operation. + OpenAIResponseOutputMessageFunctionToolCall: + properties: + call_id: + type: string + title: Call Id + name: + type: string + title: Name + arguments: + type: string + title: Arguments + type: + type: string + const: function_call + title: Type + default: function_call + id: + anyOf: + - type: string + - type: 'null' + title: Id + status: + anyOf: + - type: string + - type: 'null' + title: Status + type: object + required: + - call_id + - name + - arguments + title: OpenAIResponseOutputMessageFunctionToolCall + description: Function tool call output message for OpenAI responses. + OpenAIResponseOutputMessageMCPCall: + properties: + id: + type: string + title: Id + type: + type: string + const: mcp_call + title: Type + default: mcp_call + arguments: + type: string + title: Arguments + name: + type: string + title: Name + server_label: + type: string + title: Server Label + error: + anyOf: + - type: string + - type: 'null' + title: Error + output: + anyOf: + - type: string + - type: 'null' + title: Output + type: object + required: + - id + - arguments + - name + - server_label + title: OpenAIResponseOutputMessageMCPCall + description: Model Context Protocol (MCP) call output message for OpenAI responses. + OpenAIResponseOutputMessageMCPListTools: + properties: + id: + type: string + title: Id + type: + type: string + const: mcp_list_tools + title: Type + default: mcp_list_tools + server_label: + type: string + title: Server Label + tools: + items: + $ref: '#/components/schemas/MCPListToolsTool' + type: array + title: Tools + type: object + required: + - id + - server_label + - tools + title: OpenAIResponseOutputMessageMCPListTools + description: MCP list tools output message containing available tools from an MCP server. + OpenAIResponseOutputMessageWebSearchToolCall: + properties: + id: + type: string + title: Id + status: + type: string + title: Status + type: + type: string + const: web_search_call + title: Type + default: web_search_call + type: object + required: + - id + - status + title: OpenAIResponseOutputMessageWebSearchToolCall + description: Web search tool call output message for OpenAI responses. + OpenAIResponsePrompt: + properties: + id: + type: string + title: Id + variables: + anyOf: + - additionalProperties: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentText' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentImage' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentFile' + discriminator: + propertyName: type + mapping: + input_file: '#/components/schemas/OpenAIResponseInputMessageContentFile' + input_image: '#/components/schemas/OpenAIResponseInputMessageContentImage' + input_text: '#/components/schemas/OpenAIResponseInputMessageContentText' + type: object + - type: 'null' + title: Variables + version: + anyOf: + - type: string + - type: 'null' + title: Version + type: object + required: + - id + title: OpenAIResponsePrompt + description: OpenAI compatible Prompt object that is used in OpenAI responses. + OpenAIResponseText: + properties: + format: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseTextFormat' + - type: 'null' + type: object + title: OpenAIResponseText + description: Text response configuration for OpenAI responses. + OpenAIResponseTextFormat: + properties: + type: + anyOf: + - type: string + const: text + - type: string + const: json_schema + - type: string + const: json_object + title: Type + name: + anyOf: + - type: string + - type: 'null' + title: Name + schema: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Schema + description: + anyOf: + - type: string + - type: 'null' + title: Description + strict: + anyOf: + - type: boolean + - type: 'null' + title: Strict + type: object + title: OpenAIResponseTextFormat + description: Configuration for Responses API text format. + OpenAIResponseToolMCP: + properties: + type: + type: string + const: mcp + title: Type + default: mcp + server_label: + type: string + title: Server Label + allowed_tools: + anyOf: + - items: + type: string + type: array + - $ref: '#/components/schemas/AllowedToolsFilter' + - type: 'null' + title: Allowed Tools + type: object + required: + - server_label + title: OpenAIResponseToolMCP + description: Model Context Protocol (MCP) tool configuration for OpenAI response object. + OpenAIResponseUsage: + properties: + input_tokens: + type: integer + title: Input Tokens + output_tokens: + type: integer + title: Output Tokens + total_tokens: + type: integer + title: Total Tokens + input_tokens_details: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseUsageInputTokensDetails' + - type: 'null' + output_tokens_details: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseUsageOutputTokensDetails' + - type: 'null' + type: object + required: + - input_tokens + - output_tokens + - total_tokens + title: OpenAIResponseUsage + description: Usage information for OpenAI response. + OpenAIResponseUsageInputTokensDetails: + properties: + cached_tokens: + anyOf: + - type: integer + - type: 'null' + title: Cached Tokens + type: object + title: OpenAIResponseUsageInputTokensDetails + description: Token details for input tokens in OpenAI response usage. + OpenAIResponseUsageOutputTokensDetails: + properties: + reasoning_tokens: + anyOf: + - type: integer + - type: 'null' + title: Reasoning Tokens + type: object + title: OpenAIResponseUsageOutputTokensDetails + description: Token details for output tokens in OpenAI response usage. + OpenAISystemMessageParam: + properties: + role: + type: string + const: system + title: Role + default: system + content: + anyOf: + - type: string + - items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + title: Content + name: + anyOf: + - type: string + - type: 'null' + title: Name + type: object + required: + - content + title: OpenAISystemMessageParam + description: A system message providing instructions or context to the model. + OpenAITokenLogProb: + properties: + token: + type: string + title: Token + bytes: + anyOf: + - items: + type: integer + type: array + - type: 'null' + title: Bytes + logprob: + type: number + title: Logprob + top_logprobs: + items: + $ref: '#/components/schemas/OpenAITopLogProb' + type: array + title: Top Logprobs + type: object + required: + - token + - logprob + - top_logprobs + title: OpenAITokenLogProb + description: |- + The log probability for a token from an OpenAI-compatible chat completion response. + + :token: The token + :bytes: (Optional) The bytes for the token + :logprob: The log probability of the token + :top_logprobs: The top log probabilities for the token + OpenAIToolMessageParam: + properties: + role: + type: string + const: tool + title: Role + default: tool + tool_call_id: + type: string + title: Tool Call Id + content: + anyOf: + - type: string + - items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + title: Content + type: object + required: + - tool_call_id + - content + title: OpenAIToolMessageParam + description: A message representing the result of a tool invocation in an OpenAI-compatible chat completion request. + OpenAITopLogProb: + properties: + token: + type: string + title: Token + bytes: + anyOf: + - items: + type: integer + type: array + - type: 'null' + title: Bytes + logprob: + type: number + title: Logprob + type: object + required: + - token + - logprob + title: OpenAITopLogProb + description: |- + The top log probability for a token from an OpenAI-compatible chat completion response. + + :token: The token + :bytes: (Optional) The bytes for the token + :logprob: The log probability of the token + OpenAIUserMessageParam-Input: + properties: + role: + type: string + const: user + title: Role + default: user + content: + anyOf: + - type: string + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + - $ref: '#/components/schemas/OpenAIFile' + discriminator: + propertyName: type + mapping: + file: '#/components/schemas/OpenAIFile' + image_url: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + text: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + title: Content + name: + anyOf: + - type: string + - type: 'null' + title: Name + type: object + required: + - content + title: OpenAIUserMessageParam + description: A message from the user in an OpenAI-compatible chat completion request. + OpenAIUserMessageParam-Output: + properties: + role: + type: string + const: user + title: Role + default: user + content: + anyOf: + - type: string + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + - $ref: '#/components/schemas/OpenAIFile' + discriminator: + propertyName: type + mapping: + file: '#/components/schemas/OpenAIFile' + image_url: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + text: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + title: Content + name: + anyOf: + - type: string + - type: 'null' + title: Name + type: object + required: + - content + title: OpenAIUserMessageParam + description: A message from the user in an OpenAI-compatible chat completion request. + OptimizerConfig: + properties: + optimizer_type: + $ref: '#/components/schemas/OptimizerType' + lr: + type: number + title: Lr + weight_decay: + type: number + title: Weight Decay + num_warmup_steps: + type: integer + title: Num Warmup Steps + type: object + required: + - optimizer_type + - lr + - weight_decay + - num_warmup_steps + title: OptimizerConfig + description: Configuration parameters for the optimization algorithm. + OptimizerType: + type: string + enum: + - adam + - adamw + - sgd + title: OptimizerType + description: Available optimizer algorithms for training. + Order: + type: string + enum: + - asc + - desc + title: Order + description: Sort order for paginated responses. + OutputTokensDetails: + properties: + reasoning_tokens: + type: integer + title: Reasoning Tokens + additionalProperties: true + type: object + required: + - reasoning_tokens + title: OutputTokensDetails + PostTrainingJob: + properties: + job_uuid: + type: string + title: Job Uuid + type: object + required: + - job_uuid + title: PostTrainingJob + Prompt: + properties: + prompt: + anyOf: + - type: string + - type: 'null' + title: Prompt + description: The system prompt with variable placeholders + version: + type: integer + minimum: 1.0 + title: Version + description: Version (integer starting at 1, incremented on save) + prompt_id: + type: string + title: Prompt Id + description: Unique identifier in format 'pmpt_<48-digit-hash>' + variables: + items: + type: string + type: array + title: Variables + description: List of variable names that can be used in the prompt template + is_default: + type: boolean + title: Is Default + description: Boolean indicating whether this version is the default version + default: false + type: object + required: + - version + - prompt_id + title: Prompt + description: A prompt resource representing a stored OpenAI Compatible prompt template in Llama Stack. + ProviderInfo: + properties: + api: + type: string + title: Api + provider_id: + type: string + title: Provider Id + provider_type: + type: string + title: Provider Type + config: + additionalProperties: true + type: object + title: Config + health: + additionalProperties: true + type: object + title: Health + type: object + required: + - api + - provider_id + - provider_type + - config + - health + title: ProviderInfo + description: Information about a registered provider including its configuration and health status. + QATFinetuningConfig: + properties: + type: + type: string + const: QAT + title: Type + default: QAT + quantizer_name: + type: string + title: Quantizer Name + group_size: + type: integer + title: Group Size + type: object + required: + - quantizer_name + - group_size + title: QATFinetuningConfig + description: Configuration for Quantization-Aware Training (QAT) fine-tuning. + QueryChunksResponse: + properties: + chunks: + items: + $ref: '#/components/schemas/Chunk-Output' + type: array + title: Chunks + scores: + items: + type: number + type: array + title: Scores + type: object + required: + - chunks + - scores + title: QueryChunksResponse + description: Response from querying chunks in a vector database. + RegexParserScoringFnParams: + properties: + type: + type: string + const: regex_parser + title: Type + default: regex_parser + parsing_regexes: + items: + type: string + type: array + title: Parsing Regexes + description: Regex to extract the answer from generated response + aggregation_functions: + items: + $ref: '#/components/schemas/AggregationFunctionType' + type: array + title: Aggregation Functions + description: Aggregation functions to apply to the scores of each row + type: object + title: RegexParserScoringFnParams + description: Parameters for regex parser scoring function configuration. + RerankData: + properties: index: type: integer - logprobs: - $ref: '#/components/schemas/OpenAIChoiceLogprobs' - additionalProperties: false + title: Index + relevance_score: + type: number + title: Relevance Score + type: object required: - - finish_reason - - text - - index - title: OpenAICompletionChoice - description: >- - A choice from an OpenAI-compatible completion response. - ConversationItem: + - index + - relevance_score + title: RerankData + description: A single rerank result from a reranking response. + RerankResponse: + properties: + data: + items: + $ref: '#/components/schemas/RerankData' + type: array + title: Data + type: object + required: + - data + title: RerankResponse + description: Response from a reranking request. + RowsDataSource: + properties: + type: + type: string + const: rows + title: Type + default: rows + rows: + items: + additionalProperties: true + type: object + type: array + title: Rows + type: object + required: + - rows + title: RowsDataSource + description: A dataset stored in rows. + RunShieldResponse: + properties: + violation: + anyOf: + - $ref: '#/components/schemas/SafetyViolation' + - type: 'null' + type: object + title: RunShieldResponse + description: Response from running a safety shield. + SafetyViolation: + properties: + violation_level: + $ref: '#/components/schemas/ViolationLevel' + user_message: + anyOf: + - type: string + - type: 'null' + title: User Message + metadata: + additionalProperties: true + type: object + title: Metadata + type: object + required: + - violation_level + title: SafetyViolation + description: Details of a safety violation detected by content moderation. + SamplingParams: + properties: + strategy: + oneOf: + - $ref: '#/components/schemas/GreedySamplingStrategy' + - $ref: '#/components/schemas/TopPSamplingStrategy' + - $ref: '#/components/schemas/TopKSamplingStrategy' + title: Strategy + discriminator: + propertyName: type + mapping: + greedy: '#/components/schemas/GreedySamplingStrategy' + top_k: '#/components/schemas/TopKSamplingStrategy' + top_p: '#/components/schemas/TopPSamplingStrategy' + max_tokens: + anyOf: + - type: integer + - type: 'null' + title: Max Tokens + repetition_penalty: + anyOf: + - type: number + - type: 'null' + title: Repetition Penalty + default: 1.0 + stop: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: Stop + type: object + title: SamplingParams + description: Sampling parameters. + ScoreBatchResponse: + properties: + dataset_id: + anyOf: + - type: string + - type: 'null' + title: Dataset Id + results: + additionalProperties: + $ref: '#/components/schemas/ScoringResult' + type: object + title: Results + type: object + required: + - results + title: ScoreBatchResponse + description: Response from batch scoring operations on datasets. + ScoreResponse: + properties: + results: + additionalProperties: + $ref: '#/components/schemas/ScoringResult' + type: object + title: Results + type: object + required: + - results + title: ScoreResponse + description: The response from scoring. + ScoringFn: + properties: + identifier: + type: string + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: + type: string + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: scoring_function + title: Type + default: scoring_function + description: + anyOf: + - type: string + - type: 'null' + title: Description + metadata: + additionalProperties: true + type: object + title: Metadata + description: Any additional metadata for this definition + return_type: + oneOf: + - $ref: '#/components/schemas/StringType' + - $ref: '#/components/schemas/NumberType' + - $ref: '#/components/schemas/BooleanType' + - $ref: '#/components/schemas/ArrayType' + - $ref: '#/components/schemas/ObjectType' + - $ref: '#/components/schemas/JsonType' + - $ref: '#/components/schemas/UnionType' + - $ref: '#/components/schemas/ChatCompletionInputType' + - $ref: '#/components/schemas/CompletionInputType' + title: Return Type + description: The return type of the deterministic function + discriminator: + propertyName: type + mapping: + array: '#/components/schemas/ArrayType' + boolean: '#/components/schemas/BooleanType' + chat_completion_input: '#/components/schemas/ChatCompletionInputType' + completion_input: '#/components/schemas/CompletionInputType' + json: '#/components/schemas/JsonType' + number: '#/components/schemas/NumberType' + object: '#/components/schemas/ObjectType' + string: '#/components/schemas/StringType' + union: '#/components/schemas/UnionType' + params: + anyOf: + - oneOf: + - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams' + - $ref: '#/components/schemas/RegexParserScoringFnParams' + - $ref: '#/components/schemas/BasicScoringFnParams' + discriminator: + propertyName: type + mapping: + basic: '#/components/schemas/BasicScoringFnParams' + llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams' + regex_parser: '#/components/schemas/RegexParserScoringFnParams' + - type: 'null' + title: Params + description: The parameters for the scoring function for benchmark eval, these can be overridden for app eval + type: object + required: + - identifier + - provider_id + - return_type + title: ScoringFn + description: A scoring function resource for evaluating model outputs. + ScoringResult: + properties: + score_rows: + items: + additionalProperties: true + type: object + type: array + title: Score Rows + aggregated_results: + additionalProperties: true + type: object + title: Aggregated Results + type: object + required: + - score_rows + - aggregated_results + title: ScoringResult + description: A scoring result for a single row. + SearchRankingOptions: + properties: + ranker: + anyOf: + - type: string + - type: 'null' + title: Ranker + score_threshold: + anyOf: + - type: number + - type: 'null' + title: Score Threshold + default: 0.0 + type: object + title: SearchRankingOptions + description: Options for ranking and filtering search results. + Shield: + properties: + identifier: + type: string + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: + type: string + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: shield + title: Type + default: shield + params: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Params + type: object + required: + - identifier + - provider_id + title: Shield + description: A safety shield resource that can be used to check content. + StringType: + properties: + type: + type: string + const: string + title: Type + default: string + type: object + title: StringType + description: Parameter type for string values. + SystemMessage: + properties: + role: + type: string + const: system + title: Role + default: system + content: + anyOf: + - type: string + - oneOf: + - $ref: '#/components/schemas/ImageContentItem-Input' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Input' + text: '#/components/schemas/TextContentItem' + - items: + oneOf: + - $ref: '#/components/schemas/ImageContentItem-Input' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Input' + text: '#/components/schemas/TextContentItem' + type: array + title: Content + type: object + required: + - content + title: SystemMessage + description: A system message providing instructions or context to the model. + TextContentItem: + properties: + type: + type: string + const: text + title: Type + default: text + text: + type: string + title: Text + type: object + required: + - text + title: TextContentItem + description: A text content item + ToolDef: + properties: + toolgroup_id: + anyOf: + - type: string + - type: 'null' + title: Toolgroup Id + name: + type: string + title: Name + description: + anyOf: + - type: string + - type: 'null' + title: Description + input_schema: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Input Schema + output_schema: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Output Schema + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + type: object + required: + - name + title: ToolDef + description: Tool definition used in runtime contexts. + ToolGroup: + properties: + identifier: + type: string + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: + type: string + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: tool_group + title: Type + default: tool_group + mcp_endpoint: + anyOf: + - $ref: '#/components/schemas/URL' + - type: 'null' + args: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Args + type: object + required: + - identifier + - provider_id + title: ToolGroup + description: A group of related tools managed together. + ToolInvocationResult: + properties: + content: + anyOf: + - type: string + - oneOf: + - $ref: '#/components/schemas/ImageContentItem-Output' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Output' + text: '#/components/schemas/TextContentItem' + - items: + oneOf: + - $ref: '#/components/schemas/ImageContentItem-Output' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Output' + text: '#/components/schemas/TextContentItem' + type: array + - type: 'null' + title: Content + error_message: + anyOf: + - type: string + - type: 'null' + title: Error Message + error_code: + anyOf: + - type: integer + - type: 'null' + title: Error Code + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + type: object + title: ToolInvocationResult + description: Result of a tool invocation. + TopKSamplingStrategy: + properties: + type: + type: string + const: top_k + title: Type + default: top_k + top_k: + type: integer + minimum: 1.0 + title: Top K + type: object + required: + - top_k + title: TopKSamplingStrategy + description: Top-k sampling strategy that restricts sampling to the k most likely tokens. + TopPSamplingStrategy: + properties: + type: + type: string + const: top_p + title: Type + default: top_p + temperature: + anyOf: + - type: number + minimum: 0.0 + - type: 'null' + title: Temperature + top_p: + anyOf: + - type: number + - type: 'null' + title: Top P + default: 0.95 + type: object + required: + - temperature + title: TopPSamplingStrategy + description: Top-p (nucleus) sampling strategy that samples from the smallest set of tokens with cumulative probability >= p. + TrainingConfig: + properties: + n_epochs: + type: integer + title: N Epochs + max_steps_per_epoch: + type: integer + title: Max Steps Per Epoch + default: 1 + gradient_accumulation_steps: + type: integer + title: Gradient Accumulation Steps + default: 1 + max_validation_steps: + anyOf: + - type: integer + - type: 'null' + title: Max Validation Steps + default: 1 + data_config: + anyOf: + - $ref: '#/components/schemas/DataConfig' + - type: 'null' + optimizer_config: + anyOf: + - $ref: '#/components/schemas/OptimizerConfig' + - type: 'null' + efficiency_config: + anyOf: + - $ref: '#/components/schemas/EfficiencyConfig' + - type: 'null' + dtype: + anyOf: + - type: string + - type: 'null' + title: Dtype + default: bf16 + type: object + required: + - n_epochs + title: TrainingConfig + description: Comprehensive configuration for the training process. + URIDataSource: + properties: + type: + type: string + const: uri + title: Type + default: uri + uri: + type: string + title: Uri + type: object + required: + - uri + title: URIDataSource + description: A dataset that can be obtained from a URI. + URL: + properties: + uri: + type: string + title: Uri + type: object + required: + - uri + title: URL + description: A URL reference to external content. + UnionType: + properties: + type: + type: string + const: union + title: Type + default: union + type: object + title: UnionType + description: Parameter type for union values. + VectorStoreChunkingStrategyAuto: + properties: + type: + type: string + const: auto + title: Type + default: auto + type: object + title: VectorStoreChunkingStrategyAuto + description: Automatic chunking strategy for vector store files. + VectorStoreChunkingStrategyStatic: + properties: + type: + type: string + const: static + title: Type + default: static + static: + $ref: '#/components/schemas/VectorStoreChunkingStrategyStaticConfig' + type: object + required: + - static + title: VectorStoreChunkingStrategyStatic + description: Static chunking strategy with configurable parameters. + VectorStoreChunkingStrategyStaticConfig: + properties: + chunk_overlap_tokens: + type: integer + title: Chunk Overlap Tokens + default: 400 + max_chunk_size_tokens: + type: integer + maximum: 4096.0 + minimum: 100.0 + title: Max Chunk Size Tokens + default: 800 + type: object + title: VectorStoreChunkingStrategyStaticConfig + description: Configuration for static chunking strategy. + VectorStoreContent: + properties: + type: + type: string + const: text + title: Type + text: + type: string + title: Text + type: object + required: + - type + - text + title: VectorStoreContent + description: Content item from a vector store file or search result. + VectorStoreDeleteResponse: + properties: + id: + type: string + title: Id + object: + type: string + title: Object + default: vector_store.deleted + deleted: + type: boolean + title: Deleted + default: true + type: object + required: + - id + title: VectorStoreDeleteResponse + description: Response from deleting a vector store. + VectorStoreFileBatchObject: + properties: + id: + type: string + title: Id + object: + type: string + title: Object + default: vector_store.file_batch + created_at: + type: integer + title: Created At + vector_store_id: + type: string + title: Vector Store Id + status: + anyOf: + - type: string + const: completed + - type: string + const: in_progress + - type: string + const: cancelled + - type: string + const: failed + title: Status + file_counts: + $ref: '#/components/schemas/VectorStoreFileCounts' + type: object + required: + - id + - created_at + - vector_store_id + - status + - file_counts + title: VectorStoreFileBatchObject + description: OpenAI Vector Store File Batch object. + VectorStoreFileContentsResponse: + properties: + file_id: + type: string + title: File Id + filename: + type: string + title: Filename + attributes: + additionalProperties: true + type: object + title: Attributes + content: + items: + $ref: '#/components/schemas/VectorStoreContent' + type: array + title: Content + type: object + required: + - file_id + - filename + - attributes + - content + title: VectorStoreFileContentsResponse + description: Response from retrieving the contents of a vector store file. + VectorStoreFileCounts: + properties: + completed: + type: integer + title: Completed + cancelled: + type: integer + title: Cancelled + failed: + type: integer + title: Failed + in_progress: + type: integer + title: In Progress + total: + type: integer + title: Total + type: object + required: + - completed + - cancelled + - failed + - in_progress + - total + title: VectorStoreFileCounts + description: File processing status counts for a vector store. + VectorStoreFileDeleteResponse: + properties: + id: + type: string + title: Id + object: + type: string + title: Object + default: vector_store.file.deleted + deleted: + type: boolean + title: Deleted + default: true + type: object + required: + - id + title: VectorStoreFileDeleteResponse + description: Response from deleting a vector store file. + VectorStoreFileLastError: + properties: + code: + anyOf: + - type: string + const: server_error + - type: string + const: rate_limit_exceeded + title: Code + message: + type: string + title: Message + type: object + required: + - code + - message + title: VectorStoreFileLastError + description: Error information for failed vector store file processing. + VectorStoreFileObject: + properties: + id: + type: string + title: Id + object: + type: string + title: Object + default: vector_store.file + attributes: + additionalProperties: true + type: object + title: Attributes + chunking_strategy: + oneOf: + - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' + - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + title: Chunking Strategy + discriminator: + propertyName: type + mapping: + auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' + static: '#/components/schemas/VectorStoreChunkingStrategyStatic' + created_at: + type: integer + title: Created At + last_error: + anyOf: + - $ref: '#/components/schemas/VectorStoreFileLastError' + - type: 'null' + status: + anyOf: + - type: string + const: completed + - type: string + const: in_progress + - type: string + const: cancelled + - type: string + const: failed + title: Status + usage_bytes: + type: integer + title: Usage Bytes + default: 0 + vector_store_id: + type: string + title: Vector Store Id + type: object + required: + - id + - chunking_strategy + - created_at + - status + - vector_store_id + title: VectorStoreFileObject + description: OpenAI Vector Store File object. + VectorStoreObject: + properties: + id: + type: string + title: Id + object: + type: string + title: Object + default: vector_store + created_at: + type: integer + title: Created At + name: + anyOf: + - type: string + - type: 'null' + title: Name + usage_bytes: + type: integer + title: Usage Bytes + default: 0 + file_counts: + $ref: '#/components/schemas/VectorStoreFileCounts' + status: + type: string + title: Status + default: completed + expires_after: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Expires After + expires_at: + anyOf: + - type: integer + - type: 'null' + title: Expires At + last_active_at: + anyOf: + - type: integer + - type: 'null' + title: Last Active At + metadata: + additionalProperties: true + type: object + title: Metadata + type: object + required: + - id + - created_at + - file_counts + title: VectorStoreObject + description: OpenAI Vector Store object. + VectorStoreSearchResponse: + properties: + file_id: + type: string + title: File Id + filename: + type: string + title: Filename + score: + type: number + title: Score + attributes: + anyOf: + - additionalProperties: + anyOf: + - type: string + - type: number + - type: boolean + type: object + - type: 'null' + title: Attributes + content: + items: + $ref: '#/components/schemas/VectorStoreContent' + type: array + title: Content + type: object + required: + - file_id + - filename + - score + - content + title: VectorStoreSearchResponse + description: Response from searching a vector store. + VectorStoreSearchResponsePage: + properties: + object: + type: string + title: Object + default: vector_store.search_results.page + search_query: + items: + type: string + type: array + title: Search Query + data: + items: + $ref: '#/components/schemas/VectorStoreSearchResponse' + type: array + title: Data + has_more: + type: boolean + title: Has More + default: false + next_page: + anyOf: + - type: string + - type: 'null' + title: Next Page + type: object + required: + - search_query + - data + title: VectorStoreSearchResponsePage + description: Paginated response from searching a vector store. + VersionInfo: + properties: + version: + type: string + title: Version + type: object + required: + - version + title: VersionInfo + description: Version information for the service. + ViolationLevel: + type: string + enum: + - info + - warn + - error + title: ViolationLevel + description: Severity level of a safety violation. + _URLOrData: + properties: + url: + anyOf: + - $ref: '#/components/schemas/URL' + - type: 'null' + data: + anyOf: + - type: string + - type: 'null' + contentEncoding: base64 + title: Data + type: object + title: _URLOrData + description: A URL or a base64 encoded string + _batches_Request: + properties: + input_file_id: + type: string + title: Input File Id + endpoint: + type: string + title: Endpoint + completion_window: + type: string + const: 24h + title: Completion Window + metadata: + anyOf: + - additionalProperties: + type: string + type: object + - type: 'null' + title: Metadata + idempotency_key: + anyOf: + - type: string + - type: 'null' + title: Idempotency Key + type: object + required: + - input_file_id + - endpoint + - completion_window + title: _batches_Request + _conversations_Request: + properties: + items: + anyOf: + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage-Input' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + discriminator: + propertyName: type + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + function_call_output: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_approval_response: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage-Input' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + type: array + - type: 'null' + title: Items + metadata: + anyOf: + - additionalProperties: + type: string + type: object + - type: 'null' + title: Metadata + type: object + title: _conversations_Request + _conversations_conversation_id_Request: + properties: + metadata: + additionalProperties: + type: string + type: object + title: Metadata + type: object + required: + - metadata + title: _conversations_conversation_id_Request + _conversations_conversation_id_items_Request: + properties: + items: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage-Input' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + discriminator: + propertyName: type + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + function_call_output: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_approval_response: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage-Input' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + type: array + title: Items + type: object + required: + - items + title: _conversations_conversation_id_items_Request + _datasets_Request: + properties: + purpose: + title: Purpose + source: + title: Source + metadata: + title: Metadata + dataset_id: + title: Dataset Id + type: object + required: + - purpose + - source + title: _datasets_Request + _eval_benchmarks_benchmark_id_evaluations_Request: + properties: + input_rows: + items: + additionalProperties: true + type: object + type: array + title: Input Rows + scoring_functions: + items: + type: string + type: array + title: Scoring Functions + benchmark_config: + $ref: '#/components/schemas/BenchmarkConfig' + type: object + required: + - input_rows + - scoring_functions + - benchmark_config + title: _eval_benchmarks_benchmark_id_evaluations_Request + _inference_rerank_Request: + properties: + model: + type: string + title: Model + query: + anyOf: + - type: string + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + title: Query + items: + items: + anyOf: + - type: string + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + type: array + title: Items + max_num_results: + anyOf: + - type: integer + - type: 'null' + title: Max Num Results + type: object + required: + - model + - query + - items + title: _inference_rerank_Request + _models_Request: + properties: + model_id: + type: string + title: Model Id + provider_model_id: + anyOf: + - type: string + - type: 'null' + title: Provider Model Id + provider_id: + anyOf: + - type: string + - type: 'null' + title: Provider Id + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + model_type: + anyOf: + - $ref: '#/components/schemas/ModelType' + - type: 'null' + type: object + required: + - model_id + title: _models_Request + _moderations_Request: + properties: + input: + anyOf: + - type: string + - items: + type: string + type: array + title: Input + model: + anyOf: + - type: string + - type: 'null' + title: Model + type: object + required: + - input + title: _moderations_Request + _post_training_preference_optimize_Request: + properties: + job_uuid: + type: string + title: Job Uuid + finetuned_model: + type: string + title: Finetuned Model + algorithm_config: + $ref: '#/components/schemas/DPOAlignmentConfig' + training_config: + $ref: '#/components/schemas/TrainingConfig' + hyperparam_search_config: + additionalProperties: true + type: object + title: Hyperparam Search Config + logger_config: + additionalProperties: true + type: object + title: Logger Config + type: object + required: + - job_uuid + - finetuned_model + - algorithm_config + - training_config + - hyperparam_search_config + - logger_config + title: _post_training_preference_optimize_Request + _post_training_supervised_fine_tune_Request: + properties: + job_uuid: + type: string + title: Job Uuid + training_config: + $ref: '#/components/schemas/TrainingConfig' + hyperparam_search_config: + additionalProperties: true + type: object + title: Hyperparam Search Config + logger_config: + additionalProperties: true + type: object + title: Logger Config + model: + anyOf: + - type: string + - type: 'null' + title: Model + description: Model descriptor for training if not in provider config` + checkpoint_dir: + anyOf: + - type: string + - type: 'null' + title: Checkpoint Dir + algorithm_config: + anyOf: + - oneOf: + - $ref: '#/components/schemas/LoraFinetuningConfig' + - $ref: '#/components/schemas/QATFinetuningConfig' + discriminator: + propertyName: type + mapping: + LoRA: '#/components/schemas/LoraFinetuningConfig' + QAT: '#/components/schemas/QATFinetuningConfig' + - type: 'null' + title: Algorithm Config + type: object + required: + - job_uuid + - training_config + - hyperparam_search_config + - logger_config + title: _post_training_supervised_fine_tune_Request + _prompts_Request: + properties: + prompt: + type: string + title: Prompt + variables: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: Variables + type: object + required: + - prompt + title: _prompts_Request + _prompts_prompt_id_Request: + properties: + prompt: + type: string + title: Prompt + version: + type: integer + title: Version + variables: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: Variables + set_as_default: + type: boolean + title: Set As Default + default: true + type: object + required: + - prompt + - version + title: _prompts_prompt_id_Request + _prompts_prompt_id_set_default_version_Request: + properties: + version: + type: integer + title: Version + type: object + required: + - version + title: _prompts_prompt_id_set_default_version_Request + _responses_Request: + properties: + input: + title: Input + model: + title: Model + prompt: + title: Prompt + instructions: + title: Instructions + previous_response_id: + title: Previous Response Id + conversation: + title: Conversation + store: + title: Store + default: true + stream: + title: Stream + default: false + temperature: + title: Temperature + text: + title: Text + tools: + title: Tools + include: + title: Include + max_infer_iters: + title: Max Infer Iters + default: 10 + guardrails: + title: Guardrails + type: object + required: + - input + - model + title: _responses_Request + _scoring_score_Request: + properties: + input_rows: + items: + additionalProperties: true + type: object + type: array + title: Input Rows + scoring_functions: + additionalProperties: + anyOf: + - oneOf: + - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams' + - $ref: '#/components/schemas/RegexParserScoringFnParams' + - $ref: '#/components/schemas/BasicScoringFnParams' + discriminator: + propertyName: type + mapping: + basic: '#/components/schemas/BasicScoringFnParams' + llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams' + regex_parser: '#/components/schemas/RegexParserScoringFnParams' + - type: 'null' + type: object + title: Scoring Functions + type: object + required: + - input_rows + - scoring_functions + title: _scoring_score_Request + _scoring_score_batch_Request: + properties: + dataset_id: + type: string + title: Dataset Id + scoring_functions: + additionalProperties: + anyOf: + - oneOf: + - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams' + - $ref: '#/components/schemas/RegexParserScoringFnParams' + - $ref: '#/components/schemas/BasicScoringFnParams' + discriminator: + propertyName: type + mapping: + basic: '#/components/schemas/BasicScoringFnParams' + llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams' + regex_parser: '#/components/schemas/RegexParserScoringFnParams' + - type: 'null' + type: object + title: Scoring Functions + save_results_dataset: + type: boolean + title: Save Results Dataset + default: false + type: object + required: + - dataset_id + - scoring_functions + title: _scoring_score_batch_Request + _shields_Request: + properties: + shield_id: + type: string + title: Shield Id + provider_shield_id: + anyOf: + - type: string + - type: 'null' + title: Provider Shield Id + provider_id: + anyOf: + - type: string + - type: 'null' + title: Provider Id + params: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Params + type: object + required: + - shield_id + title: _shields_Request + _tool_runtime_invoke_Request: + properties: + tool_name: + type: string + title: Tool Name + kwargs: + additionalProperties: true + type: object + title: Kwargs + type: object + required: + - tool_name + - kwargs + title: _tool_runtime_invoke_Request + _vector_io_query_Request: + properties: + vector_store_id: + type: string + title: Vector Store Id + query: + anyOf: + - type: string + - oneOf: + - $ref: '#/components/schemas/ImageContentItem-Input' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Input' + text: '#/components/schemas/TextContentItem' + - items: + oneOf: + - $ref: '#/components/schemas/ImageContentItem-Input' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Input' + text: '#/components/schemas/TextContentItem' + type: array + title: Query + params: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Params + type: object + required: + - vector_store_id + - query + title: _vector_io_query_Request + _vector_stores_vector_store_id_Request: + properties: + name: + anyOf: + - type: string + - type: 'null' + title: Name + expires_after: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Expires After + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + type: object + title: _vector_stores_vector_store_id_Request + _vector_stores_vector_store_id_files_Request: + properties: + file_id: + type: string + title: File Id + attributes: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Attributes + chunking_strategy: + anyOf: + - oneOf: + - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' + - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + discriminator: + propertyName: type + mapping: + auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' + static: '#/components/schemas/VectorStoreChunkingStrategyStatic' + - type: 'null' + title: Chunking Strategy + type: object + required: + - file_id + title: _vector_stores_vector_store_id_files_Request + _vector_stores_vector_store_id_files_file_id_Request: + properties: + attributes: + additionalProperties: true + type: object + title: Attributes + type: object + required: + - attributes + title: _vector_stores_vector_store_id_files_file_id_Request + _vector_stores_vector_store_id_search_Request: + properties: + query: + anyOf: + - type: string + - items: + type: string + type: array + title: Query + filters: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Filters + max_num_results: + anyOf: + - type: integer + - type: 'null' + title: Max Num Results + default: 10 + ranking_options: + anyOf: + - $ref: '#/components/schemas/SearchRankingOptions' + - type: 'null' + rewrite_query: + anyOf: + - type: boolean + - type: 'null' + title: Rewrite Query + default: false + search_mode: + anyOf: + - type: string + - type: 'null' + title: Search Mode + default: vector + type: object + required: + - query + title: _vector_stores_vector_store_id_search_Request + Error: + description: Error response from the API. Roughly follows RFC 7807. + properties: + status: + title: Status + type: integer + title: + title: Title + type: string + detail: + title: Detail + type: string + instance: + anyOf: + - type: string + - type: 'null' + title: Instance + nullable: true + required: + - status + - title + - detail + title: Error + type: object + ImageContentItem: + description: A image content item + properties: + type: + const: image + default: image + title: Type + type: string + image: + $ref: '#/components/schemas/_URLOrData' + required: + - image + title: ImageContentItem + type: object + InterleavedContentItem: + discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + InterleavedContent: + anyOf: + - type: string + - discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + - items: + discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + type: array + BuiltinTool: + enum: + - brave_search + - wolfram_alpha + - photogen + - code_interpreter + title: BuiltinTool + type: string + ImageDelta: + description: An image content delta for streaming responses. + properties: + type: + const: image + default: image + title: Type + type: string + image: + format: binary + title: Image + type: string + required: + - image + title: ImageDelta + type: object + TextDelta: + description: A text content delta for streaming responses. + properties: + type: + const: text + default: text + title: Type + type: string + text: + title: Text + type: string + required: + - text + title: TextDelta + type: object + ToolCall: + properties: + call_id: + title: Call Id + type: string + tool_name: + anyOf: + - $ref: '#/components/schemas/BuiltinTool' + - type: string + title: Tool Name + arguments: + title: Arguments + type: string + required: + - call_id + - tool_name + - arguments + title: ToolCall + type: object + ToolCallDelta: + description: A tool call content delta for streaming responses. + properties: + type: + const: tool_call + default: tool_call + title: Type + type: string + tool_call: + anyOf: + - type: string + - $ref: '#/components/schemas/ToolCall' + title: Tool Call + parse_status: + $ref: '#/components/schemas/ToolCallParseStatus' + required: + - tool_call + - parse_status + title: ToolCallDelta + type: object + ToolCallParseStatus: + description: Status of tool call parsing during streaming. + enum: + - started + - in_progress + - failed + - succeeded + title: ToolCallParseStatus + type: string + ContentDelta: + discriminator: + mapping: + image: '#/components/schemas/ImageDelta' + text: '#/components/schemas/TextDelta' + tool_call: '#/components/schemas/ToolCallDelta' + propertyName: type + oneOf: + - $ref: '#/components/schemas/TextDelta' + - $ref: '#/components/schemas/ImageDelta' + - $ref: '#/components/schemas/ToolCallDelta' + ToolDefinition: + properties: + tool_name: + anyOf: + - $ref: '#/components/schemas/BuiltinTool' + - type: string + title: Tool Name + description: + anyOf: + - type: string + - type: 'null' + title: Description + nullable: true + input_schema: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Input Schema + nullable: true + output_schema: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Output Schema + nullable: true + required: + - tool_name + title: ToolDefinition + type: object + SamplingStrategy: + discriminator: + mapping: + greedy: '#/components/schemas/GreedySamplingStrategy' + top_k: '#/components/schemas/TopKSamplingStrategy' + top_p: '#/components/schemas/TopPSamplingStrategy' + propertyName: type + oneOf: + - $ref: '#/components/schemas/GreedySamplingStrategy' + - $ref: '#/components/schemas/TopPSamplingStrategy' + - $ref: '#/components/schemas/TopKSamplingStrategy' + CompletionMessage: + description: A message containing the model's (assistant) response in a chat conversation. + properties: + role: + const: assistant + default: assistant + title: Role + type: string + content: + anyOf: + - type: string + - discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + - items: + discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + type: array + title: Content + stop_reason: + $ref: '#/components/schemas/StopReason' + tool_calls: + anyOf: + - items: + $ref: '#/components/schemas/ToolCall' + type: array + - type: 'null' + title: Tool Calls + required: + - content + - stop_reason + title: CompletionMessage + type: object + StopReason: + enum: + - end_of_turn + - end_of_message + - out_of_tokens + title: StopReason + type: string + ToolResponseMessage: + description: A message representing the result of a tool invocation. + properties: + role: + const: tool + default: tool + title: Role + type: string + call_id: + title: Call Id + type: string + content: + anyOf: + - type: string + - discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + - items: + discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + type: array + title: Content + required: + - call_id + - content + title: ToolResponseMessage + type: object + UserMessage: + description: A message from the user in a chat conversation. + properties: + role: + const: user + default: user + title: Role + type: string + content: + anyOf: + - type: string + - discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + - items: + discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + type: array + title: Content + context: + anyOf: + - type: string + - discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + - items: + discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + type: array + - type: 'null' + title: Context + nullable: true + required: + - content + title: UserMessage + type: object + Message: + discriminator: + mapping: + assistant: '#/components/schemas/CompletionMessage' + system: '#/components/schemas/SystemMessage' + tool: '#/components/schemas/ToolResponseMessage' + user: '#/components/schemas/UserMessage' + propertyName: role + oneOf: + - $ref: '#/components/schemas/UserMessage' + - $ref: '#/components/schemas/SystemMessage' + - $ref: '#/components/schemas/ToolResponseMessage' + - $ref: '#/components/schemas/CompletionMessage' + GrammarResponseFormat: + description: Configuration for grammar-guided response generation. + properties: + type: + const: grammar + default: grammar + title: Type + type: string + bnf: + additionalProperties: true + title: Bnf + type: object + required: + - bnf + title: GrammarResponseFormat + type: object + JsonSchemaResponseFormat: + description: Configuration for JSON schema-guided response generation. + properties: + type: + const: json_schema + default: json_schema + title: Type + type: string + json_schema: + additionalProperties: true + title: Json Schema + type: object + required: + - json_schema + title: JsonSchemaResponseFormat + type: object + ResponseFormat: + discriminator: + mapping: + grammar: '#/components/schemas/GrammarResponseFormat' + json_schema: '#/components/schemas/JsonSchemaResponseFormat' + propertyName: type + oneOf: + - $ref: '#/components/schemas/JsonSchemaResponseFormat' + - $ref: '#/components/schemas/GrammarResponseFormat' + OpenAIChatCompletionContentPartParam: + discriminator: + mapping: + file: '#/components/schemas/OpenAIFile' + image_url: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + text: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + - $ref: '#/components/schemas/OpenAIFile' + OpenAIAssistantMessageParam: + description: A message containing the model's (assistant) response in an OpenAI-compatible chat completion request. + properties: + role: + const: assistant + default: assistant + title: Role + type: string + content: + anyOf: + - type: string + - items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + - type: 'null' + title: Content + nullable: true + name: + anyOf: + - type: string + - type: 'null' + title: Name + nullable: true + tool_calls: + anyOf: + - items: + $ref: '#/components/schemas/OpenAIChatCompletionToolCall' + type: array + - type: 'null' + title: Tool Calls + nullable: true + title: OpenAIAssistantMessageParam + type: object + OpenAIUserMessageParam: + description: A message from the user in an OpenAI-compatible chat completion request. + properties: + role: + const: user + default: user + title: Role + type: string + content: + anyOf: + - type: string + - items: + discriminator: + mapping: + file: '#/components/schemas/OpenAIFile' + image_url: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + text: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + - $ref: '#/components/schemas/OpenAIFile' + type: array + title: Content + name: + anyOf: + - type: string + - type: 'null' + title: Name + nullable: true + required: + - content + title: OpenAIUserMessageParam + type: object + OpenAIMessageParam: + discriminator: + mapping: + assistant: '#/components/schemas/OpenAIAssistantMessageParam' + developer: '#/components/schemas/OpenAIDeveloperMessageParam' + system: '#/components/schemas/OpenAISystemMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + user: '#/components/schemas/OpenAIUserMessageParam' + propertyName: role + oneOf: + - $ref: '#/components/schemas/OpenAIUserMessageParam' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + OpenAIResponseFormatParam: + discriminator: + mapping: + json_object: '#/components/schemas/OpenAIResponseFormatJSONObject' + json_schema: '#/components/schemas/OpenAIResponseFormatJSONSchema' + text: '#/components/schemas/OpenAIResponseFormatText' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseFormatText' + - $ref: '#/components/schemas/OpenAIResponseFormatJSONSchema' + - $ref: '#/components/schemas/OpenAIResponseFormatJSONObject' + VectorStoreChunkingStrategy: + discriminator: + mapping: + auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' + static: '#/components/schemas/VectorStoreChunkingStrategyStatic' + propertyName: type + oneOf: + - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' + - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + VectorStoreFileStatus: + anyOf: + - const: completed + type: string + - const: in_progress + type: string + - const: cancelled + type: string + - const: failed + type: string + OpenAIResponseInputMessageContent: + discriminator: + mapping: + input_file: '#/components/schemas/OpenAIResponseInputMessageContentFile' + input_image: '#/components/schemas/OpenAIResponseInputMessageContentImage' + input_text: '#/components/schemas/OpenAIResponseInputMessageContentText' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentText' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentImage' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentFile' + OpenAIResponseAnnotations: + discriminator: + mapping: + container_file_citation: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + file_citation: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + file_path: '#/components/schemas/OpenAIResponseAnnotationFilePath' + url_citation: '#/components/schemas/OpenAIResponseAnnotationCitation' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationFilePath' + OpenAIResponseOutputMessageContent: + discriminator: + mapping: + output_text: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + OpenAIResponseMessage: + description: |- + Corresponds to the various Message types in the Responses API. + They are all under one type because the Responses API gives them all + the same "type" value, and there is no way to tell them apart in certain + scenarios. + properties: + content: + anyOf: + - type: string + - items: + discriminator: + mapping: + input_file: '#/components/schemas/OpenAIResponseInputMessageContentFile' + input_image: '#/components/schemas/OpenAIResponseInputMessageContentImage' + input_text: '#/components/schemas/OpenAIResponseInputMessageContentText' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentText' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentImage' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentFile' + type: array + - items: + discriminator: + mapping: + output_text: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + type: array + title: Content + role: + anyOf: + - const: system + type: string + - const: developer + type: string + - const: user + type: string + - const: assistant + type: string + title: Role + type: + const: message + default: message + title: Type + type: string + id: + anyOf: + - type: string + - type: 'null' + title: Id + nullable: true + status: + anyOf: + - type: string + - type: 'null' + title: Status + nullable: true + required: + - content + - role + title: OpenAIResponseMessage + type: object + OpenAIResponseOutput: + discriminator: + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + ApprovalFilter: + description: Filter configuration for MCP tool approval requirements. + properties: + always: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: Always + nullable: true + never: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: Never + nullable: true + title: ApprovalFilter + type: object + OpenAIResponseInputToolMCP: + description: Model Context Protocol (MCP) tool configuration for OpenAI response inputs. + properties: + type: + const: mcp + default: mcp + title: Type + type: string + server_label: + title: Server Label + type: string + server_url: + title: Server Url + type: string + headers: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Headers + nullable: true + require_approval: + anyOf: + - const: always + type: string + - const: never + type: string + - $ref: '#/components/schemas/ApprovalFilter' + default: never + title: Require Approval + allowed_tools: + anyOf: + - items: + type: string + type: array + - $ref: '#/components/schemas/AllowedToolsFilter' + - type: 'null' + title: Allowed Tools + nullable: true + required: + - server_label + - server_url + title: OpenAIResponseInputToolMCP + type: object + OpenAIResponseInputTool: + discriminator: + mapping: + file_search: '#/components/schemas/OpenAIResponseInputToolFileSearch' + function: '#/components/schemas/OpenAIResponseInputToolFunction' + mcp: '#/components/schemas/OpenAIResponseInputToolMCP' + web_search: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_2025_08_26: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_preview: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_preview_2025_03_11: '#/components/schemas/OpenAIResponseInputToolWebSearch' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFileSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFunction' + - $ref: '#/components/schemas/OpenAIResponseInputToolMCP' + OpenAIResponseTool: + discriminator: + mapping: + file_search: '#/components/schemas/OpenAIResponseInputToolFileSearch' + function: '#/components/schemas/OpenAIResponseInputToolFunction' + mcp: '#/components/schemas/OpenAIResponseToolMCP' + web_search: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_2025_08_26: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_preview: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_preview_2025_03_11: '#/components/schemas/OpenAIResponseInputToolWebSearch' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFileSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFunction' + - $ref: '#/components/schemas/OpenAIResponseToolMCP' + OpenAIResponseContentPartOutputText: + description: Text content within a streamed response part. + properties: + type: + const: output_text + default: output_text + title: Type + type: string + text: + title: Text + type: string + annotations: + items: + discriminator: + mapping: + container_file_citation: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + file_citation: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + file_path: '#/components/schemas/OpenAIResponseAnnotationFilePath' + url_citation: '#/components/schemas/OpenAIResponseAnnotationCitation' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationFilePath' + title: Annotations + type: array + logprobs: + anyOf: + - items: + additionalProperties: true + type: object + type: array + - type: 'null' + title: Logprobs + nullable: true + required: + - text + title: OpenAIResponseContentPartOutputText + type: object + OpenAIResponseContentPartReasoningText: + description: Reasoning text emitted as part of a streamed response. + properties: + type: + const: reasoning_text + default: reasoning_text + title: Type + type: string + text: + title: Text + type: string + required: + - text + title: OpenAIResponseContentPartReasoningText + type: object + OpenAIResponseContentPart: + discriminator: + mapping: + output_text: '#/components/schemas/OpenAIResponseContentPartOutputText' + reasoning_text: '#/components/schemas/OpenAIResponseContentPartReasoningText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseContentPartOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + - $ref: '#/components/schemas/OpenAIResponseContentPartReasoningText' + OpenAIResponseContentPartReasoningSummary: + description: Reasoning summary part in a streamed response. + properties: + type: + const: summary_text + default: summary_text + title: Type + type: string + text: + title: Text + type: string + required: + - text + title: OpenAIResponseContentPartReasoningSummary + type: object + OpenAIResponseObjectStreamResponseCompleted: + description: Streaming event indicating a response has been completed. + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + type: + const: response.completed + default: response.completed + title: Type + type: string + required: + - response + title: OpenAIResponseObjectStreamResponseCompleted + type: object + OpenAIResponseObjectStreamResponseContentPartAdded: + description: Streaming event for when a new content part is added to a response item. + properties: + content_index: + title: Content Index + type: integer + response_id: + title: Response Id + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + part: + discriminator: + mapping: + output_text: '#/components/schemas/OpenAIResponseContentPartOutputText' + reasoning_text: '#/components/schemas/OpenAIResponseContentPartReasoningText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseContentPartOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + - $ref: '#/components/schemas/OpenAIResponseContentPartReasoningText' + title: Part + sequence_number: + title: Sequence Number + type: integer + type: + const: response.content_part.added + default: response.content_part.added + title: Type + type: string + required: + - content_index + - response_id + - item_id + - output_index + - part + - sequence_number + title: OpenAIResponseObjectStreamResponseContentPartAdded + type: object + OpenAIResponseObjectStreamResponseContentPartDone: + description: Streaming event for when a content part is completed. + properties: + content_index: + title: Content Index + type: integer + response_id: + title: Response Id + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + part: + discriminator: + mapping: + output_text: '#/components/schemas/OpenAIResponseContentPartOutputText' + reasoning_text: '#/components/schemas/OpenAIResponseContentPartReasoningText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseContentPartOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + - $ref: '#/components/schemas/OpenAIResponseContentPartReasoningText' + title: Part + sequence_number: + title: Sequence Number + type: integer + type: + const: response.content_part.done + default: response.content_part.done + title: Type + type: string + required: + - content_index + - response_id + - item_id + - output_index + - part + - sequence_number + title: OpenAIResponseObjectStreamResponseContentPartDone + type: object + OpenAIResponseObjectStreamResponseCreated: + description: Streaming event indicating a new response has been created. + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + type: + const: response.created + default: response.created + title: Type + type: string + required: + - response + title: OpenAIResponseObjectStreamResponseCreated + type: object + OpenAIResponseObjectStreamResponseFailed: + description: Streaming event emitted when a response fails. + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + sequence_number: + title: Sequence Number + type: integer + type: + const: response.failed + default: response.failed + title: Type + type: string + required: + - response + - sequence_number + title: OpenAIResponseObjectStreamResponseFailed + type: object + OpenAIResponseObjectStreamResponseFileSearchCallCompleted: + description: Streaming event for completed file search calls. + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.file_search_call.completed + default: response.file_search_call.completed + title: Type + type: string + required: + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseFileSearchCallCompleted + type: object + OpenAIResponseObjectStreamResponseFileSearchCallInProgress: + description: Streaming event for file search calls in progress. + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.file_search_call.in_progress + default: response.file_search_call.in_progress + title: Type + type: string + required: + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseFileSearchCallInProgress + type: object + OpenAIResponseObjectStreamResponseFileSearchCallSearching: + description: Streaming event for file search currently searching. + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.file_search_call.searching + default: response.file_search_call.searching + title: Type + type: string + required: + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseFileSearchCallSearching + type: object + OpenAIResponseObjectStreamResponseFunctionCallArgumentsDelta: + description: Streaming event for incremental function call argument updates. + properties: + delta: + title: Delta + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.function_call_arguments.delta + default: response.function_call_arguments.delta + title: Type + type: string + required: + - delta + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseFunctionCallArgumentsDelta + type: object + OpenAIResponseObjectStreamResponseFunctionCallArgumentsDone: + description: Streaming event for when function call arguments are completed. + properties: + arguments: + title: Arguments + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.function_call_arguments.done + default: response.function_call_arguments.done + title: Type + type: string + required: + - arguments + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseFunctionCallArgumentsDone + type: object + OpenAIResponseObjectStreamResponseInProgress: + description: Streaming event indicating the response remains in progress. + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + sequence_number: + title: Sequence Number + type: integer + type: + const: response.in_progress + default: response.in_progress + title: Type + type: string + required: + - response + - sequence_number + title: OpenAIResponseObjectStreamResponseInProgress + type: object + OpenAIResponseObjectStreamResponseIncomplete: + description: Streaming event emitted when a response ends in an incomplete state. + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + sequence_number: + title: Sequence Number + type: integer + type: + const: response.incomplete + default: response.incomplete + title: Type + type: string + required: + - response + - sequence_number + title: OpenAIResponseObjectStreamResponseIncomplete + type: object + OpenAIResponseObjectStreamResponseMcpCallArgumentsDelta: + properties: + delta: + title: Delta + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.mcp_call.arguments.delta + default: response.mcp_call.arguments.delta + title: Type + type: string + required: + - delta + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseMcpCallArgumentsDelta + type: object + OpenAIResponseObjectStreamResponseMcpCallArgumentsDone: + properties: + arguments: + title: Arguments + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.mcp_call.arguments.done + default: response.mcp_call.arguments.done + title: Type + type: string + required: + - arguments + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseMcpCallArgumentsDone + type: object + OpenAIResponseObjectStreamResponseMcpCallCompleted: + description: Streaming event for completed MCP calls. + properties: + sequence_number: + title: Sequence Number + type: integer + type: + const: response.mcp_call.completed + default: response.mcp_call.completed + title: Type + type: string + required: + - sequence_number + title: OpenAIResponseObjectStreamResponseMcpCallCompleted + type: object + OpenAIResponseObjectStreamResponseMcpCallFailed: + description: Streaming event for failed MCP calls. + properties: + sequence_number: + title: Sequence Number + type: integer + type: + const: response.mcp_call.failed + default: response.mcp_call.failed + title: Type + type: string + required: + - sequence_number + title: OpenAIResponseObjectStreamResponseMcpCallFailed + type: object + OpenAIResponseObjectStreamResponseMcpCallInProgress: + description: Streaming event for MCP calls in progress. + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.mcp_call.in_progress + default: response.mcp_call.in_progress + title: Type + type: string + required: + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseMcpCallInProgress + type: object + OpenAIResponseObjectStreamResponseMcpListToolsCompleted: + properties: + sequence_number: + title: Sequence Number + type: integer + type: + const: response.mcp_list_tools.completed + default: response.mcp_list_tools.completed + title: Type + type: string + required: + - sequence_number + title: OpenAIResponseObjectStreamResponseMcpListToolsCompleted + type: object + OpenAIResponseObjectStreamResponseMcpListToolsFailed: + properties: + sequence_number: + title: Sequence Number + type: integer + type: + const: response.mcp_list_tools.failed + default: response.mcp_list_tools.failed + title: Type + type: string + required: + - sequence_number + title: OpenAIResponseObjectStreamResponseMcpListToolsFailed + type: object + OpenAIResponseObjectStreamResponseMcpListToolsInProgress: + properties: + sequence_number: + title: Sequence Number + type: integer + type: + const: response.mcp_list_tools.in_progress + default: response.mcp_list_tools.in_progress + title: Type + type: string + required: + - sequence_number + title: OpenAIResponseObjectStreamResponseMcpListToolsInProgress + type: object + OpenAIResponseObjectStreamResponseOutputItemAdded: + description: Streaming event for when a new output item is added to the response. + properties: + response_id: + title: Response Id + type: string + item: + discriminator: + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + title: Item + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.output_item.added + default: response.output_item.added + title: Type + type: string + required: + - response_id + - item + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseOutputItemAdded + type: object + OpenAIResponseObjectStreamResponseOutputItemDone: + description: Streaming event for when an output item is completed. + properties: + response_id: + title: Response Id + type: string + item: + discriminator: + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + title: Item + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.output_item.done + default: response.output_item.done + title: Type + type: string + required: + - response_id + - item + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseOutputItemDone + type: object + OpenAIResponseObjectStreamResponseOutputTextAnnotationAdded: + description: Streaming event for when an annotation is added to output text. + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + content_index: + title: Content Index + type: integer + annotation_index: + title: Annotation Index + type: integer + annotation: + discriminator: + mapping: + container_file_citation: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + file_citation: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + file_path: '#/components/schemas/OpenAIResponseAnnotationFilePath' + url_citation: '#/components/schemas/OpenAIResponseAnnotationCitation' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationFilePath' + title: Annotation + sequence_number: + title: Sequence Number + type: integer + type: + const: response.output_text.annotation.added + default: response.output_text.annotation.added + title: Type + type: string + required: + - item_id + - output_index + - content_index + - annotation_index + - annotation + - sequence_number + title: OpenAIResponseObjectStreamResponseOutputTextAnnotationAdded + type: object + OpenAIResponseObjectStreamResponseOutputTextDelta: + description: Streaming event for incremental text content updates. + properties: + content_index: + title: Content Index + type: integer + delta: + title: Delta + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.output_text.delta + default: response.output_text.delta + title: Type + type: string + required: + - content_index + - delta + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseOutputTextDelta + type: object + OpenAIResponseObjectStreamResponseOutputTextDone: + description: Streaming event for when text output is completed. + properties: + content_index: + title: Content Index + type: integer + text: + title: Text + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.output_text.done + default: response.output_text.done + title: Type + type: string + required: + - content_index + - text + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseOutputTextDone + type: object + OpenAIResponseObjectStreamResponseReasoningSummaryPartAdded: + description: Streaming event for when a new reasoning summary part is added. + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + part: + $ref: '#/components/schemas/OpenAIResponseContentPartReasoningSummary' + sequence_number: + title: Sequence Number + type: integer + summary_index: + title: Summary Index + type: integer + type: + const: response.reasoning_summary_part.added + default: response.reasoning_summary_part.added + title: Type + type: string + required: + - item_id + - output_index + - part + - sequence_number + - summary_index + title: OpenAIResponseObjectStreamResponseReasoningSummaryPartAdded + type: object + OpenAIResponseObjectStreamResponseReasoningSummaryPartDone: + description: Streaming event for when a reasoning summary part is completed. + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + part: + $ref: '#/components/schemas/OpenAIResponseContentPartReasoningSummary' + sequence_number: + title: Sequence Number + type: integer + summary_index: + title: Summary Index + type: integer + type: + const: response.reasoning_summary_part.done + default: response.reasoning_summary_part.done + title: Type + type: string + required: + - item_id + - output_index + - part + - sequence_number + - summary_index + title: OpenAIResponseObjectStreamResponseReasoningSummaryPartDone + type: object + OpenAIResponseObjectStreamResponseReasoningSummaryTextDelta: + description: Streaming event for incremental reasoning summary text updates. + properties: + delta: + title: Delta + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + summary_index: + title: Summary Index + type: integer + type: + const: response.reasoning_summary_text.delta + default: response.reasoning_summary_text.delta + title: Type + type: string + required: + - delta + - item_id + - output_index + - sequence_number + - summary_index + title: OpenAIResponseObjectStreamResponseReasoningSummaryTextDelta + type: object + OpenAIResponseObjectStreamResponseReasoningSummaryTextDone: + description: Streaming event for when reasoning summary text is completed. + properties: + text: + title: Text + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + summary_index: + title: Summary Index + type: integer + type: + const: response.reasoning_summary_text.done + default: response.reasoning_summary_text.done + title: Type + type: string + required: + - text + - item_id + - output_index + - sequence_number + - summary_index + title: OpenAIResponseObjectStreamResponseReasoningSummaryTextDone + type: object + OpenAIResponseObjectStreamResponseReasoningTextDelta: + description: Streaming event for incremental reasoning text updates. + properties: + content_index: + title: Content Index + type: integer + delta: + title: Delta + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.reasoning_text.delta + default: response.reasoning_text.delta + title: Type + type: string + required: + - content_index + - delta + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseReasoningTextDelta + type: object + OpenAIResponseObjectStreamResponseReasoningTextDone: + description: Streaming event for when reasoning text is completed. + properties: + content_index: + title: Content Index + type: integer + text: + title: Text + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.reasoning_text.done + default: response.reasoning_text.done + title: Type + type: string + required: + - content_index + - text + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseReasoningTextDone + type: object + OpenAIResponseObjectStreamResponseRefusalDelta: + description: Streaming event for incremental refusal text updates. + properties: + content_index: + title: Content Index + type: integer + delta: + title: Delta + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.refusal.delta + default: response.refusal.delta + title: Type + type: string + required: + - content_index + - delta + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseRefusalDelta + type: object + OpenAIResponseObjectStreamResponseRefusalDone: + description: Streaming event for when refusal text is completed. + properties: + content_index: + title: Content Index + type: integer + refusal: + title: Refusal + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.refusal.done + default: response.refusal.done + title: Type + type: string + required: + - content_index + - refusal + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseRefusalDone + type: object + OpenAIResponseObjectStreamResponseWebSearchCallCompleted: + description: Streaming event for completed web search calls. + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.web_search_call.completed + default: response.web_search_call.completed + title: Type + type: string + required: + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseWebSearchCallCompleted + type: object + OpenAIResponseObjectStreamResponseWebSearchCallInProgress: + description: Streaming event for web search calls in progress. + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.web_search_call.in_progress + default: response.web_search_call.in_progress + title: Type + type: string + required: + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseWebSearchCallInProgress + type: object + OpenAIResponseObjectStreamResponseWebSearchCallSearching: + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.web_search_call.searching + default: response.web_search_call.searching + title: Type + type: string + required: + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseWebSearchCallSearching + type: object + OpenAIResponseObjectStream: + discriminator: + mapping: + response.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseCompleted' + response.content_part.added: '#/components/schemas/OpenAIResponseObjectStreamResponseContentPartAdded' + response.content_part.done: '#/components/schemas/OpenAIResponseObjectStreamResponseContentPartDone' + response.created: '#/components/schemas/OpenAIResponseObjectStreamResponseCreated' + response.failed: '#/components/schemas/OpenAIResponseObjectStreamResponseFailed' + response.file_search_call.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallCompleted' + response.file_search_call.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallInProgress' + response.file_search_call.searching: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallSearching' + response.function_call_arguments.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseFunctionCallArgumentsDelta' + response.function_call_arguments.done: '#/components/schemas/OpenAIResponseObjectStreamResponseFunctionCallArgumentsDone' + response.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseInProgress' + response.incomplete: '#/components/schemas/OpenAIResponseObjectStreamResponseIncomplete' + response.mcp_call.arguments.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallArgumentsDelta' + response.mcp_call.arguments.done: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallArgumentsDone' + response.mcp_call.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallCompleted' + response.mcp_call.failed: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallFailed' + response.mcp_call.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallInProgress' + response.mcp_list_tools.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsCompleted' + response.mcp_list_tools.failed: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsFailed' + response.mcp_list_tools.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsInProgress' + response.output_item.added: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputItemAdded' + response.output_item.done: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputItemDone' + response.output_text.annotation.added: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextAnnotationAdded' + response.output_text.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextDelta' + response.output_text.done: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextDone' + response.reasoning_summary_part.added: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryPartAdded' + response.reasoning_summary_part.done: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryPartDone' + response.reasoning_summary_text.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryTextDelta' + response.reasoning_summary_text.done: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryTextDone' + response.reasoning_text.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningTextDelta' + response.reasoning_text.done: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningTextDone' + response.refusal.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseRefusalDelta' + response.refusal.done: '#/components/schemas/OpenAIResponseObjectStreamResponseRefusalDone' + response.web_search_call.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallCompleted' + response.web_search_call.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallInProgress' + response.web_search_call.searching: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallSearching' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseCreated' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputItemAdded' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputItemDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFunctionCallArgumentsDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFunctionCallArgumentsDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallSearching' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallCompleted' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsFailed' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsCompleted' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallArgumentsDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallArgumentsDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallFailed' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallCompleted' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseContentPartAdded' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseContentPartDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningTextDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningTextDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryPartAdded' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryPartDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryTextDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryTextDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseRefusalDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseRefusalDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextAnnotationAdded' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallSearching' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallCompleted' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseIncomplete' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFailed' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseCompleted' + OpenAIResponseInput: + anyOf: + - discriminator: + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + propertyName: type + oneOf: - $ref: '#/components/schemas/OpenAIResponseMessage' - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' - - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' - - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' - - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseMessage' + ConversationItem: discriminator: - propertyName: type mapping: - message: '#/components/schemas/OpenAIResponseMessage' - web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' function_call_output: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' @@ -6905,193 +14170,19 @@ components: mapping: message: '#/components/schemas/OpenAIResponseMessage' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' - function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' - mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' - mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' - mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' - OpenAIResponsePrompt: - type: object - properties: - id: - type: string - description: Unique identifier of the prompt template - variables: - type: object - additionalProperties: - $ref: '#/components/schemas/OpenAIResponseInputMessageContent' - description: >- - Dictionary of variable names to OpenAIResponseInputMessageContent structure - for template substitution. The substitution values can either be strings, - or other Response input types like images or files. - version: - type: string - description: >- - Version number of the prompt to use (defaults to latest if not specified) - additionalProperties: false - required: - - id - title: OpenAIResponsePrompt - description: >- - OpenAI compatible Prompt object that is used in OpenAI responses. - OpenAIResponseText: - type: object - properties: - format: - type: object - properties: - type: - oneOf: - - type: string - const: text - - type: string - const: json_schema - - type: string - const: json_object - description: >- - Must be "text", "json_schema", or "json_object" to identify the format - type - name: - type: string - description: >- - The name of the response format. Only used for json_schema. - schema: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: >- - The JSON schema the response should conform to. In a Python SDK, this - is often a `pydantic` model. Only used for json_schema. - description: - type: string - description: >- - (Optional) A description of the response format. Only used for json_schema. - strict: - type: boolean - description: >- - (Optional) Whether to strictly enforce the JSON schema. If true, the - response must match the schema exactly. Only used for json_schema. - additionalProperties: false - required: - - type - description: >- - (Optional) Text format configuration specifying output format requirements - additionalProperties: false - title: OpenAIResponseText - description: >- - Text response configuration for OpenAI responses. - OpenAIResponseTool: - oneOf: - - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch' - - $ref: '#/components/schemas/OpenAIResponseInputToolFileSearch' - - $ref: '#/components/schemas/OpenAIResponseInputToolFunction' - - $ref: '#/components/schemas/OpenAIResponseToolMCP' - discriminator: propertyName: type - mapping: - web_search: '#/components/schemas/OpenAIResponseInputToolWebSearch' - file_search: '#/components/schemas/OpenAIResponseInputToolFileSearch' - function: '#/components/schemas/OpenAIResponseInputToolFunction' - mcp: '#/components/schemas/OpenAIResponseToolMCP' - OpenAIResponseToolMCP: - type: object - properties: - type: - type: string - const: mcp - default: mcp - description: Tool type identifier, always "mcp" - server_label: - type: string - description: Label to identify this MCP server - allowed_tools: - oneOf: - - type: array - items: - type: string - - type: object - properties: - tool_names: - type: array - items: - type: string - description: >- - (Optional) List of specific tool names that are allowed - additionalProperties: false - title: AllowedToolsFilter - description: >- - Filter configuration for restricting which MCP tools can be used. - description: >- - (Optional) Restriction on which tools can be used from this server - additionalProperties: false - required: - - type - - server_label - title: OpenAIResponseToolMCP - description: >- - Model Context Protocol (MCP) tool configuration for OpenAI response object. - OpenAIResponseUsage: - type: object - properties: - input_tokens: - type: integer - description: Number of tokens in the input - output_tokens: - type: integer - description: Number of tokens in the output - total_tokens: - type: integer - description: Total tokens used (input + output) - input_tokens_details: - type: object - properties: - cached_tokens: - type: integer - description: Number of tokens retrieved from cache - additionalProperties: false - description: Detailed breakdown of input token usage - output_tokens_details: - type: object - properties: - reasoning_tokens: - type: integer - description: >- - Number of tokens used for reasoning (o1/o3 models) - additionalProperties: false - description: Detailed breakdown of output token usage - additionalProperties: false - required: - - input_tokens - - output_tokens - - total_tokens - title: OpenAIResponseUsage - description: Usage information for OpenAI response. - ResponseGuardrailSpec: - type: object - properties: - type: - type: string - description: The type/identifier of the guardrail. - additionalProperties: false - required: - - type - title: ResponseGuardrailSpec - description: >- - Specification for a guardrail to apply during response generation. - OpenAIResponseInputTool: oneOf: - - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch' - - $ref: '#/components/schemas/OpenAIResponseInputToolFileSearch' - - $ref: '#/components/schemas/OpenAIResponseInputToolFunction' - - $ref: '#/components/schemas/OpenAIResponseInputToolMCP' + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + DataSource: discriminator: - propertyName: type mapping: web_search: '#/components/schemas/OpenAIResponseInputToolWebSearch' file_search: '#/components/schemas/OpenAIResponseInputToolFileSearch' @@ -9864,10 +16955,17 @@ components: description: OpenAI Vector Store object. VectorStoreChunkingStrategy: oneOf: - - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' - - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + - $ref: '#/components/schemas/StringType' + - $ref: '#/components/schemas/NumberType' + - $ref: '#/components/schemas/BooleanType' + - $ref: '#/components/schemas/ArrayType' + - $ref: '#/components/schemas/ObjectType' + - $ref: '#/components/schemas/JsonType' + - $ref: '#/components/schemas/UnionType' + - $ref: '#/components/schemas/ChatCompletionInputType' + - $ref: '#/components/schemas/CompletionInputType' + ScoringFnParams: discriminator: - propertyName: type mapping: auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' static: '#/components/schemas/VectorStoreChunkingStrategyStatic' @@ -11517,128 +18615,1478 @@ components: - job_uuid title: PostTrainingJob AlgorithmConfig: - oneOf: - - $ref: '#/components/schemas/LoraFinetuningConfig' - - $ref: '#/components/schemas/QATFinetuningConfig' discriminator: - propertyName: type mapping: LoRA: '#/components/schemas/LoraFinetuningConfig' QAT: '#/components/schemas/QATFinetuningConfig' - LoraFinetuningConfig: - type: object + propertyName: type + oneOf: + - $ref: '#/components/schemas/LoraFinetuningConfig' + - $ref: '#/components/schemas/QATFinetuningConfig' + SpanEndPayload: + description: Payload for a span end event. properties: type: + const: span_end + default: span_end + title: Type type: string - const: LoRA - default: LoRA - description: Algorithm type identifier, always "LoRA" - lora_attn_modules: + status: + $ref: '#/components/schemas/SpanStatus' + required: + - status + title: SpanEndPayload + type: object + SpanStartPayload: + description: Payload for a span start event. + properties: + type: + const: span_start + default: span_start + title: Type + type: string + name: + title: Name + type: string + parent_span_id: + anyOf: + - type: string + - type: 'null' + title: Parent Span Id + nullable: true + required: + - name + title: SpanStartPayload + type: object + SpanStatus: + description: The status of a span indicating whether it completed successfully or with an error. + enum: + - ok + - error + title: SpanStatus + type: string + StructuredLogPayload: + discriminator: + mapping: + span_end: '#/components/schemas/SpanEndPayload' + span_start: '#/components/schemas/SpanStartPayload' + propertyName: type + oneOf: + - $ref: '#/components/schemas/SpanStartPayload' + - $ref: '#/components/schemas/SpanEndPayload' + LogSeverity: + description: The severity level of a log message. + enum: + - verbose + - debug + - info + - warn + - error + - critical + title: LogSeverity + type: string + MetricEvent: + description: A metric event containing a measured value. + properties: + trace_id: + title: Trace Id + type: string + span_id: + title: Span Id + type: string + timestamp: + format: date-time + title: Timestamp + type: string + attributes: + anyOf: + - additionalProperties: + anyOf: + - type: string + - type: integer + - type: number + - type: boolean + - type: 'null' + type: object + - type: 'null' + title: Attributes + type: + const: metric + default: metric + title: Type + type: string + metric: + title: Metric + type: string + value: + anyOf: + - type: integer + - type: number + title: Value + unit: + title: Unit + type: string + required: + - trace_id + - span_id + - timestamp + - metric + - value + - unit + title: MetricEvent + type: object + StructuredLogEvent: + description: A structured log event containing typed payload data. + properties: + trace_id: + title: Trace Id + type: string + span_id: + title: Span Id + type: string + timestamp: + format: date-time + title: Timestamp + type: string + attributes: + anyOf: + - additionalProperties: + anyOf: + - type: string + - type: integer + - type: number + - type: boolean + - type: 'null' + type: object + - type: 'null' + title: Attributes + type: + const: structured_log + default: structured_log + title: Type + type: string + payload: + discriminator: + mapping: + span_end: '#/components/schemas/SpanEndPayload' + span_start: '#/components/schemas/SpanStartPayload' + propertyName: type + oneOf: + - $ref: '#/components/schemas/SpanStartPayload' + - $ref: '#/components/schemas/SpanEndPayload' + title: Payload + required: + - trace_id + - span_id + - timestamp + - payload + title: StructuredLogEvent + type: object + UnstructuredLogEvent: + description: An unstructured log event containing a simple text message. + properties: + trace_id: + title: Trace Id + type: string + span_id: + title: Span Id + type: string + timestamp: + format: date-time + title: Timestamp + type: string + attributes: + anyOf: + - additionalProperties: + anyOf: + - type: string + - type: integer + - type: number + - type: boolean + - type: 'null' + type: object + - type: 'null' + title: Attributes + type: + const: unstructured_log + default: unstructured_log + title: Type + type: string + message: + title: Message + type: string + severity: + $ref: '#/components/schemas/LogSeverity' + required: + - trace_id + - span_id + - timestamp + - message + - severity + title: UnstructuredLogEvent + type: object + Event: + discriminator: + mapping: + metric: '#/components/schemas/MetricEvent' + structured_log: '#/components/schemas/StructuredLogEvent' + unstructured_log: '#/components/schemas/UnstructuredLogEvent' + propertyName: type + oneOf: + - $ref: '#/components/schemas/UnstructuredLogEvent' + - $ref: '#/components/schemas/MetricEvent' + - $ref: '#/components/schemas/StructuredLogEvent' + ListOpenAIResponseInputItem: + description: List container for OpenAI response input items. + properties: + data: + items: + anyOf: + - discriminator: + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseMessage' + title: Data type: array + object: + const: list + default: list + title: Object + type: string + required: + - data + title: ListOpenAIResponseInputItem + type: object + OpenAIResponseObjectWithInput: + description: OpenAI response object extended with input context information. + properties: + created_at: + title: Created At + type: integer + error: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseError' + - type: 'null' + nullable: true + id: + title: Id + type: string + model: + title: Model + type: string + object: + const: response + default: response + title: Object + type: string + output: + items: + discriminator: + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + title: Output + type: array + parallel_tool_calls: + default: false + title: Parallel Tool Calls + type: boolean + previous_response_id: + anyOf: + - type: string + - type: 'null' + title: Previous Response Id + nullable: true + prompt: + anyOf: + - $ref: '#/components/schemas/OpenAIResponsePrompt' + - type: 'null' + nullable: true + status: + title: Status + type: string + temperature: + anyOf: + - type: number + - type: 'null' + title: Temperature + nullable: true + text: + $ref: '#/components/schemas/OpenAIResponseText' + default: + format: + type: text + top_p: + anyOf: + - type: number + - type: 'null' + title: Top P + nullable: true + tools: + anyOf: + - items: + discriminator: + mapping: + file_search: '#/components/schemas/OpenAIResponseInputToolFileSearch' + function: '#/components/schemas/OpenAIResponseInputToolFunction' + mcp: '#/components/schemas/OpenAIResponseToolMCP' + web_search: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_2025_08_26: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_preview: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_preview_2025_03_11: '#/components/schemas/OpenAIResponseInputToolWebSearch' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFileSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFunction' + - $ref: '#/components/schemas/OpenAIResponseToolMCP' + type: array + - type: 'null' + title: Tools + nullable: true + truncation: + anyOf: + - type: string + - type: 'null' + title: Truncation + nullable: true + usage: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseUsage' + - type: 'null' + nullable: true + instructions: + anyOf: + - type: string + - type: 'null' + title: Instructions + nullable: true + input: + items: + anyOf: + - discriminator: + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseMessage' + title: Input + type: array + required: + - created_at + - id + - model + - output + - status + - input + title: OpenAIResponseObjectWithInput + type: object + ListOpenAIResponseObject: + description: Paginated list of OpenAI response objects with navigation metadata. + properties: + data: + items: + $ref: '#/components/schemas/OpenAIResponseObjectWithInput' + title: Data + type: array + has_more: + title: Has More + type: boolean + first_id: + title: First Id + type: string + last_id: + title: Last Id + type: string + object: + const: list + default: list + title: Object + type: string + required: + - data + - has_more + - first_id + - last_id + title: ListOpenAIResponseObject + type: object + ResponseGuardrailSpec: + description: Specification for a guardrail to apply during response generation. + properties: + type: + title: Type + type: string + required: + - type + title: ResponseGuardrailSpec + type: object + ListBatchesResponse: + description: Response containing a list of batch objects. + properties: + object: + const: list + default: list + title: Object + type: string + data: + description: List of batch objects + items: + $ref: '#/components/schemas/Batch' + title: Data + type: array + first_id: + anyOf: + - type: string + - type: 'null' + description: ID of the first batch in the list + title: First Id + nullable: true + last_id: + anyOf: + - type: string + - type: 'null' + description: ID of the last batch in the list + title: Last Id + nullable: true + has_more: + default: false + description: Whether there are more batches available + title: Has More + type: boolean + required: + - data + title: ListBatchesResponse + type: object + MetricInResponse: + description: A metric value included in API responses. + properties: + metric: + title: Metric + type: string + value: + anyOf: + - type: integer + - type: number + title: Value + unit: + anyOf: + - type: string + - type: 'null' + title: Unit + nullable: true + required: + - metric + - value + title: MetricInResponse + type: object + PaginatedResponse: + description: A generic paginated response that follows a simple format. + properties: + data: + items: + additionalProperties: true + type: object + title: Data + type: array + has_more: + title: Has More + type: boolean + url: + anyOf: + - type: string + - type: 'null' + title: Url + nullable: true + required: + - data + - has_more + title: PaginatedResponse + type: object + PostTrainingMetric: + description: Training metrics captured during post-training jobs. + properties: + epoch: + title: Epoch + type: integer + train_loss: + title: Train Loss + type: number + validation_loss: + title: Validation Loss + type: number + perplexity: + title: Perplexity + type: number + required: + - epoch + - train_loss + - validation_loss + - perplexity + title: PostTrainingMetric + type: object + Checkpoint: + description: Checkpoint created during training runs. + properties: + identifier: + title: Identifier + type: string + created_at: + format: date-time + title: Created At + type: string + epoch: + title: Epoch + type: integer + post_training_job_id: + title: Post Training Job Id + type: string + path: + title: Path + type: string + training_metrics: + anyOf: + - $ref: '#/components/schemas/PostTrainingMetric' + - type: 'null' + nullable: true + required: + - identifier + - created_at + - epoch + - post_training_job_id + - path + title: Checkpoint + type: object + DialogType: + description: Parameter type for dialog data with semantic output labels. + properties: + type: + const: dialog + default: dialog + title: Type + type: string + title: DialogType + type: object + ConversationItemCreateRequest: + description: Request body for creating conversation items. + properties: + items: + description: Items to include in the conversation context. You may add up to 20 items at a time. + items: + discriminator: + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + function_call_output: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_approval_response: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + maxItems: 20 + title: Items + type: array + required: + - items + title: ConversationItemCreateRequest + type: object + ConversationMessage: + description: OpenAI-compatible message item for conversations. + properties: + id: + description: unique identifier for this message + title: Id + type: string + content: + description: message content + items: + additionalProperties: true + type: object + title: Content + type: array + role: + description: message role + title: Role + type: string + status: + description: message status + title: Status + type: string + type: + const: message + default: message + title: Type + type: string + object: + const: message + default: message + title: Object + type: string + required: + - id + - content + - role + - status + title: ConversationMessage + type: object + ListOpenAIFileResponse: + description: Response for listing files in OpenAI Files API. + properties: + data: + items: + $ref: '#/components/schemas/OpenAIFileObject' + title: Data + type: array + has_more: + title: Has More + type: boolean + first_id: + title: First Id + type: string + last_id: + title: Last Id + type: string + object: + const: list + default: list + title: Object + type: string + required: + - data + - has_more + - first_id + - last_id + title: ListOpenAIFileResponse + type: object + Bf16QuantizationConfig: + description: Configuration for BFloat16 precision (typically no quantization). + properties: + type: + const: bf16 + default: bf16 + title: Type + type: string + title: Bf16QuantizationConfig + type: object + LogProbConfig: + description: '' + properties: + top_k: + anyOf: + - type: integer + - type: 'null' + default: 0 + title: Top K + title: LogProbConfig + type: object + SystemMessageBehavior: + description: Config for how to override the default system prompt. + enum: + - append + - replace + title: SystemMessageBehavior + type: string + ToolChoice: + description: Whether tool use is required or automatic. This is a hint to the model which may not be followed. It depends on the Instruction Following capabilities of the model. + enum: + - auto + - required + - none + title: ToolChoice + type: string + ToolConfig: + description: Configuration for tool use. + properties: + tool_choice: + anyOf: + - $ref: '#/components/schemas/ToolChoice' + - type: string + - type: 'null' + default: auto + title: Tool Choice + tool_prompt_format: + anyOf: + - $ref: '#/components/schemas/ToolPromptFormat' + - type: 'null' + nullable: true + system_message_behavior: + anyOf: + - $ref: '#/components/schemas/SystemMessageBehavior' + - type: 'null' + default: append + title: ToolConfig + type: object + ToolPromptFormat: + description: Prompt format for calling custom / zero shot tools. + enum: + - json + - function_tag + - python_list + title: ToolPromptFormat + type: string + ChatCompletionRequest: + properties: + model: + title: Model + type: string + messages: + items: + discriminator: + mapping: + assistant: '#/components/schemas/CompletionMessage' + system: '#/components/schemas/SystemMessage' + tool: '#/components/schemas/ToolResponseMessage' + user: '#/components/schemas/UserMessage' + propertyName: role + oneOf: + - $ref: '#/components/schemas/UserMessage' + - $ref: '#/components/schemas/SystemMessage' + - $ref: '#/components/schemas/ToolResponseMessage' + - $ref: '#/components/schemas/CompletionMessage' + title: Messages + type: array + sampling_params: + anyOf: + - $ref: '#/components/schemas/SamplingParams' + - type: 'null' + tools: + anyOf: + - items: + $ref: '#/components/schemas/ToolDefinition' + type: array + - type: 'null' + title: Tools + tool_config: + anyOf: + - $ref: '#/components/schemas/ToolConfig' + - type: 'null' + response_format: + anyOf: + - discriminator: + mapping: + grammar: '#/components/schemas/GrammarResponseFormat' + json_schema: '#/components/schemas/JsonSchemaResponseFormat' + propertyName: type + oneOf: + - $ref: '#/components/schemas/JsonSchemaResponseFormat' + - $ref: '#/components/schemas/GrammarResponseFormat' + - type: 'null' + title: Response Format + nullable: true + stream: + anyOf: + - type: boolean + - type: 'null' + default: false + title: Stream + logprobs: + anyOf: + - $ref: '#/components/schemas/LogProbConfig' + - type: 'null' + nullable: true + required: + - model + - messages + title: ChatCompletionRequest + type: object + TokenLogProbs: + description: Log probabilities for generated tokens. + properties: + logprobs_by_token: + additionalProperties: + type: number + title: Logprobs By Token + type: object + required: + - logprobs_by_token + title: TokenLogProbs + type: object + ChatCompletionResponse: + description: Response from a chat completion request. + properties: + metrics: + anyOf: + - items: + $ref: '#/components/schemas/MetricInResponse' + type: array + - type: 'null' + title: Metrics + nullable: true + completion_message: + $ref: '#/components/schemas/CompletionMessage' + logprobs: + anyOf: + - items: + $ref: '#/components/schemas/TokenLogProbs' + type: array + - type: 'null' + title: Logprobs + nullable: true + required: + - completion_message + title: ChatCompletionResponse + type: object + ChatCompletionResponseEventType: + description: Types of events that can occur during chat completion. + enum: + - start + - complete + - progress + title: ChatCompletionResponseEventType + type: string + ChatCompletionResponseEvent: + description: An event during chat completion generation. + properties: + event_type: + $ref: '#/components/schemas/ChatCompletionResponseEventType' + delta: + discriminator: + mapping: + image: '#/components/schemas/ImageDelta' + text: '#/components/schemas/TextDelta' + tool_call: '#/components/schemas/ToolCallDelta' + propertyName: type + oneOf: + - $ref: '#/components/schemas/TextDelta' + - $ref: '#/components/schemas/ImageDelta' + - $ref: '#/components/schemas/ToolCallDelta' + title: Delta + logprobs: + anyOf: + - items: + $ref: '#/components/schemas/TokenLogProbs' + type: array + - type: 'null' + title: Logprobs + nullable: true + stop_reason: + anyOf: + - $ref: '#/components/schemas/StopReason' + - type: 'null' + nullable: true + required: + - event_type + - delta + title: ChatCompletionResponseEvent + type: object + ChatCompletionResponseStreamChunk: + description: A chunk of a streamed chat completion response. + properties: + metrics: + anyOf: + - items: + $ref: '#/components/schemas/MetricInResponse' + type: array + - type: 'null' + title: Metrics + nullable: true + event: + $ref: '#/components/schemas/ChatCompletionResponseEvent' + required: + - event + title: ChatCompletionResponseStreamChunk + type: object + CompletionResponse: + description: Response from a completion request. + properties: + metrics: + anyOf: + - items: + $ref: '#/components/schemas/MetricInResponse' + type: array + - type: 'null' + title: Metrics + nullable: true + content: + title: Content + type: string + stop_reason: + $ref: '#/components/schemas/StopReason' + logprobs: + anyOf: + - items: + $ref: '#/components/schemas/TokenLogProbs' + type: array + - type: 'null' + title: Logprobs + nullable: true + required: + - content + - stop_reason + title: CompletionResponse + type: object + CompletionResponseStreamChunk: + description: A chunk of a streamed completion response. + properties: + metrics: + anyOf: + - items: + $ref: '#/components/schemas/MetricInResponse' + type: array + - type: 'null' + title: Metrics + nullable: true + delta: + title: Delta + type: string + stop_reason: + anyOf: + - $ref: '#/components/schemas/StopReason' + - type: 'null' + nullable: true + logprobs: + anyOf: + - items: + $ref: '#/components/schemas/TokenLogProbs' + type: array + - type: 'null' + title: Logprobs + nullable: true + required: + - delta + title: CompletionResponseStreamChunk + type: object + EmbeddingsResponse: + description: Response containing generated embeddings. + properties: + embeddings: + items: + items: + type: number + type: array + title: Embeddings + type: array + required: + - embeddings + title: EmbeddingsResponse + type: object + Fp8QuantizationConfig: + description: Configuration for 8-bit floating point quantization. + properties: + type: + const: fp8_mixed + default: fp8_mixed + title: Type + type: string + title: Fp8QuantizationConfig + type: object + Int4QuantizationConfig: + description: Configuration for 4-bit integer quantization. + properties: + type: + const: int4_mixed + default: int4_mixed + title: Type + type: string + scheme: + anyOf: + - type: string + - type: 'null' + default: int4_weight_int8_dynamic_activation + title: Scheme + title: Int4QuantizationConfig + type: object + OpenAIChoice: + description: A choice from an OpenAI-compatible chat completion response. + properties: + message: + discriminator: + mapping: + assistant: '#/components/schemas/OpenAIAssistantMessageParam' + developer: '#/components/schemas/OpenAIDeveloperMessageParam' + system: '#/components/schemas/OpenAISystemMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + user: '#/components/schemas/OpenAIUserMessageParam' + propertyName: role + oneOf: + - $ref: '#/components/schemas/OpenAIUserMessageParam' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + title: Message + finish_reason: + title: Finish Reason + type: string + index: + title: Index + type: integer + logprobs: + anyOf: + - $ref: '#/components/schemas/OpenAIChoiceLogprobs' + - type: 'null' + nullable: true + required: + - message + - finish_reason + - index + title: OpenAIChoice + type: object + OpenAIChoiceLogprobs: + description: The log probabilities for the tokens in the message from an OpenAI-compatible chat completion response. + properties: + content: + anyOf: + - items: + $ref: '#/components/schemas/OpenAITokenLogProb' + type: array + - type: 'null' + title: Content + nullable: true + refusal: + anyOf: + - items: + $ref: '#/components/schemas/OpenAITokenLogProb' + type: array + - type: 'null' + title: Refusal + nullable: true + title: OpenAIChoiceLogprobs + type: object + ListOpenAIChatCompletionResponse: + description: Response from listing OpenAI-compatible chat completions. + properties: + data: + items: + $ref: '#/components/schemas/OpenAICompletionWithInputMessages' + title: Data + type: array + has_more: + title: Has More + type: boolean + first_id: + title: First Id + type: string + last_id: + title: Last Id + type: string + object: + const: list + default: list + title: Object + type: string + required: + - data + - has_more + - first_id + - last_id + title: ListOpenAIChatCompletionResponse + type: object + OpenAIChoiceDelta: + description: A delta from an OpenAI-compatible chat completion streaming response. + properties: + content: + anyOf: + - type: string + - type: 'null' + title: Content + nullable: true + refusal: + anyOf: + - type: string + - type: 'null' + title: Refusal + nullable: true + role: + anyOf: + - type: string + - type: 'null' + title: Role + nullable: true + tool_calls: + anyOf: + - items: + $ref: '#/components/schemas/OpenAIChatCompletionToolCall' + type: array + - type: 'null' + title: Tool Calls + nullable: true + reasoning_content: + anyOf: + - type: string + - type: 'null' + title: Reasoning Content + nullable: true + title: OpenAIChoiceDelta + type: object + OpenAIChunkChoice: + description: A chunk choice from an OpenAI-compatible chat completion streaming response. + properties: + delta: + $ref: '#/components/schemas/OpenAIChoiceDelta' + finish_reason: + title: Finish Reason + type: string + index: + title: Index + type: integer + logprobs: + anyOf: + - $ref: '#/components/schemas/OpenAIChoiceLogprobs' + - type: 'null' + nullable: true + required: + - delta + - finish_reason + - index + title: OpenAIChunkChoice + type: object + OpenAIChatCompletionChunk: + description: Chunk from a streaming response to an OpenAI-compatible chat completion request. + properties: + id: + title: Id + type: string + choices: + items: + $ref: '#/components/schemas/OpenAIChunkChoice' + title: Choices + type: array + object: + const: chat.completion.chunk + default: chat.completion.chunk + title: Object + type: string + created: + title: Created + type: integer + model: + title: Model + type: string + usage: + anyOf: + - $ref: '#/components/schemas/OpenAIChatCompletionUsage' + - type: 'null' + nullable: true + required: + - id + - choices + - created + - model + title: OpenAIChatCompletionChunk + type: object + OpenAICompletionChoice: + description: |- + A choice from an OpenAI-compatible completion response. + + :finish_reason: The reason the model stopped generating + :text: The text of the choice + :index: The index of the choice + :logprobs: (Optional) The log probabilities for the tokens in the choice + properties: + finish_reason: + title: Finish Reason + type: string + text: + title: Text + type: string + index: + title: Index + type: integer + logprobs: + anyOf: + - $ref: '#/components/schemas/OpenAIChoiceLogprobs' + - type: 'null' + nullable: true + required: + - finish_reason + - text + - index + title: OpenAICompletionChoice + type: object + OpenAICompletionLogprobs: + description: |- + The log probabilities for the tokens in the message from an OpenAI-compatible completion response. + + :text_offset: (Optional) The offset of the token in the text + :token_logprobs: (Optional) The log probabilities for the tokens + :tokens: (Optional) The tokens + :top_logprobs: (Optional) The top log probabilities for the tokens + properties: + text_offset: + anyOf: + - items: + type: integer + type: array + - type: 'null' + title: Text Offset + nullable: true + token_logprobs: + anyOf: + - items: + type: number + type: array + - type: 'null' + title: Token Logprobs + nullable: true + tokens: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: Tokens + nullable: true + top_logprobs: + anyOf: + - items: + additionalProperties: + type: number + type: object + type: array + - type: 'null' + title: Top Logprobs + nullable: true + title: OpenAICompletionLogprobs + type: object + ToolResponse: + description: Response from a tool invocation. + properties: + call_id: + title: Call Id + type: string + tool_name: + anyOf: + - $ref: '#/components/schemas/BuiltinTool' + - type: string + title: Tool Name + content: + anyOf: + - type: string + - discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + - items: + discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + type: array + title: Content + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + nullable: true + required: + - call_id + - tool_name + - content + title: ToolResponse + type: object + RouteInfo: + description: Information about an API route including its path, method, and implementing providers. + properties: + route: + title: Route + type: string + method: + title: Method + type: string + provider_types: items: type: string - description: >- - List of attention module names to apply LoRA to - apply_lora_to_mlp: - type: boolean - description: Whether to apply LoRA to MLP layers - apply_lora_to_output: - type: boolean - description: >- - Whether to apply LoRA to output projection layers - rank: - type: integer - description: >- - Rank of the LoRA adaptation (lower rank = fewer parameters) - alpha: - type: integer - description: >- - LoRA scaling parameter that controls adaptation strength - use_dora: - type: boolean - default: false - description: >- - (Optional) Whether to use DoRA (Weight-Decomposed Low-Rank Adaptation) - quantize_base: - type: boolean - default: false - description: >- - (Optional) Whether to quantize the base model weights - additionalProperties: false + title: Provider Types + type: array required: - - type - - lora_attn_modules - - apply_lora_to_mlp - - apply_lora_to_output - - rank - - alpha - title: LoraFinetuningConfig - description: >- - Configuration for Low-Rank Adaptation (LoRA) fine-tuning. - QATFinetuningConfig: + - route + - method + - provider_types + title: RouteInfo type: object + ListRoutesResponse: + description: Response containing a list of all available API routes. properties: - type: - type: string - const: QAT - default: QAT - description: Algorithm type identifier, always "QAT" - quantizer_name: - type: string - description: >- - Name of the quantization algorithm to use - group_size: - type: integer - description: Size of groups for grouped quantization - additionalProperties: false + data: + items: + $ref: '#/components/schemas/RouteInfo' + title: Data + type: array required: - - type - - quantizer_name - - group_size - title: QATFinetuningConfig - description: >- - Configuration for Quantization-Aware Training (QAT) fine-tuning. - SupervisedFineTuneRequest: + - data + title: ListRoutesResponse type: object + PostTrainingJobArtifactsResponse: + description: Artifacts of a finetuning job. properties: job_uuid: + title: Job Uuid type: string - description: The UUID of the job to create. + checkpoints: + items: + $ref: '#/components/schemas/Checkpoint' + title: Checkpoints + type: array + required: + - job_uuid + title: PostTrainingJobArtifactsResponse + type: object + PostTrainingJobLogStream: + description: Stream of logs from a finetuning job. + properties: + job_uuid: + title: Job Uuid + type: string + log_lines: + items: + type: string + title: Log Lines + type: array + required: + - job_uuid + - log_lines + title: PostTrainingJobLogStream + type: object + PostTrainingJobStatusResponse: + description: Status of a finetuning job. + properties: + job_uuid: + title: Job Uuid + type: string + status: + $ref: '#/components/schemas/JobStatus' + scheduled_at: + anyOf: + - format: date-time + type: string + - type: 'null' + title: Scheduled At + nullable: true + started_at: + anyOf: + - format: date-time + type: string + - type: 'null' + title: Started At + nullable: true + completed_at: + anyOf: + - format: date-time + type: string + - type: 'null' + title: Completed At + nullable: true + resources_allocated: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Resources Allocated + nullable: true + checkpoints: + items: + $ref: '#/components/schemas/Checkpoint' + title: Checkpoints + type: array + required: + - job_uuid + - status + title: PostTrainingJobStatusResponse + type: object + RLHFAlgorithm: + description: Available reinforcement learning from human feedback algorithms. + enum: + - dpo + title: RLHFAlgorithm + type: string + PostTrainingRLHFRequest: + description: Request to finetune a model using reinforcement learning from human feedback. + properties: + job_uuid: + title: Job Uuid + type: string + finetuned_model: + $ref: '#/components/schemas/URL' + dataset_id: + title: Dataset Id + type: string + validation_dataset_id: + title: Validation Dataset Id + type: string + algorithm: + $ref: '#/components/schemas/RLHFAlgorithm' + algorithm_config: + $ref: '#/components/schemas/DPOAlignmentConfig' + optimizer_config: + $ref: '#/components/schemas/OptimizerConfig' training_config: $ref: '#/components/schemas/TrainingConfig' - description: The training configuration. hyperparam_search_config: + additionalProperties: true + title: Hyperparam Search Config type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: The hyperparam search configuration. logger_config: + additionalProperties: true + title: Logger Config type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: The logger configuration. - model: - type: string - description: The model to fine-tune. - checkpoint_dir: - type: string - description: The directory to save checkpoint(s) to. - algorithm_config: - $ref: '#/components/schemas/AlgorithmConfig' - description: The algorithm configuration. - additionalProperties: false required: - job_uuid - training_config @@ -11906,8 +20354,7 @@ components: title: Bad Request detail: The request was invalid or malformed TooManyRequests429: - description: >- - The client has sent too many requests in a given amount of time + description: The client has sent too many requests in a given amount of time content: application/json: schema: @@ -11915,11 +20362,9 @@ components: example: status: 429 title: Too Many Requests - detail: >- - You have exceeded the rate limit. Please try again later. + detail: You have exceeded the rate limit. Please try again later. InternalServerError500: - description: >- - The server encountered an unexpected error + description: The server encountered an unexpected error content: application/json: schema: @@ -11927,127 +20372,10 @@ components: example: status: 500 title: Internal Server Error - detail: >- - An unexpected error occurred. Our team has been notified. + detail: An unexpected error occurred DefaultError: - description: An unexpected error occurred + description: An error occurred content: application/json: schema: $ref: '#/components/schemas/Error' - example: - status: 0 - title: Error - detail: An unexpected error occurred -security: - - Default: [] -tags: - - name: Agents - description: >- - APIs for creating and interacting with agentic systems. - x-displayName: Agents - - name: Batches - description: >- - The API is designed to allow use of openai client libraries for seamless integration. - - - This API provides the following extensions: - - idempotent batch creation - - Note: This API is currently under active development and may undergo changes. - x-displayName: >- - The Batches API enables efficient processing of multiple requests in a single - operation, particularly useful for processing large datasets, batch evaluation - workflows, and cost-effective inference at scale. - - name: Benchmarks - description: '' - - name: Conversations - description: >- - Protocol for conversation management operations. - x-displayName: Conversations - - name: DatasetIO - description: '' - - name: Datasets - description: '' - - name: Eval - description: >- - Llama Stack Evaluation API for running evaluations on model and agent candidates. - x-displayName: Evaluations - - name: Files - description: >- - This API is used to upload documents that can be used with other Llama Stack - APIs. - x-displayName: Files - - name: Inference - description: >- - Llama Stack Inference API for generating completions, chat completions, and - embeddings. - - - This API provides the raw interface to the underlying models. Three kinds of - models are supported: - - - LLM models: these models generate "raw" and "chat" (conversational) completions. - - - Embedding models: these models generate embeddings to be used for semantic - search. - - - Rerank models: these models reorder the documents based on their relevance - to a query. - x-displayName: Inference - - name: Inspect - description: >- - APIs for inspecting the Llama Stack service, including health status, available - API routes with methods and implementing providers. - x-displayName: Inspect - - name: Models - description: '' - - name: PostTraining (Coming Soon) - description: '' - - name: Prompts - description: >- - Protocol for prompt management operations. - x-displayName: Prompts - - name: Providers - description: >- - Providers API for inspecting, listing, and modifying providers and their configurations. - x-displayName: Providers - - name: Safety - description: OpenAI-compatible Moderations API. - x-displayName: Safety - - name: Scoring - description: '' - - name: ScoringFunctions - description: '' - - name: Shields - description: '' - - name: ToolGroups - description: '' - - name: ToolRuntime - description: '' - - name: VectorIO - description: '' -x-tagGroups: - - name: Operations - tags: - - Agents - - Batches - - Benchmarks - - Conversations - - DatasetIO - - Datasets - - Eval - - Files - - Inference - - Inspect - - Models - - PostTraining (Coming Soon) - - Prompts - - Providers - - Safety - - Scoring - - ScoringFunctions - - Shields - - ToolGroups - - ToolRuntime - - VectorIO diff --git a/docs/openapi_generator/README.md b/docs/openapi_generator/README.md deleted file mode 100644 index 85021d911..000000000 --- a/docs/openapi_generator/README.md +++ /dev/null @@ -1 +0,0 @@ -The RFC Specification (OpenAPI format) is generated from the set of API endpoints located in `llama_stack.core/server/endpoints.py` using the `generate.py` utility. diff --git a/docs/openapi_generator/generate.py b/docs/openapi_generator/generate.py deleted file mode 100644 index 769db32a7..000000000 --- a/docs/openapi_generator/generate.py +++ /dev/null @@ -1,134 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described found in the -# LICENSE file in the root directory of this source tree. - -from datetime import datetime -from pathlib import Path -import sys -import fire -import ruamel.yaml as yaml - -from llama_stack_api import LLAMA_STACK_API_V1 # noqa: E402 -from llama_stack.core.stack import LlamaStack # noqa: E402 - -from .pyopenapi.options import Options # noqa: E402 -from .pyopenapi.specification import Info, Server # noqa: E402 -from .pyopenapi.utility import Specification, validate_api # noqa: E402 - - -def str_presenter(dumper, data): - if data.startswith(f"/{LLAMA_STACK_API_V1}") or data.startswith( - "#/components/schemas/" - ): - style = None - else: - style = ">" if "\n" in data or len(data) > 40 else None - return dumper.represent_scalar("tag:yaml.org,2002:str", data, style=style) - - -def generate_spec(output_dir: Path, stability_filter: str = None, main_spec: bool = False, combined_spec: bool = False): - """Generate OpenAPI spec with optional stability filtering.""" - - if combined_spec: - # Special case for combined stable + experimental APIs - title_suffix = " - Stable & Experimental APIs" - filename_prefix = "stainless-" - description_suffix = "\n\n**🔗 COMBINED**: This specification includes both stable production-ready APIs and experimental pre-release APIs. Use stable APIs for production deployments and experimental APIs for testing new features." - # Use the special "stainless" filter to include stable + experimental APIs - stability_filter = "stainless" - elif stability_filter: - title_suffix = { - "stable": " - Stable APIs" if not main_spec else "", - "experimental": " - Experimental APIs", - "deprecated": " - Deprecated APIs" - }.get(stability_filter, f" - {stability_filter.title()} APIs") - - # Use main spec filename for stable when main_spec=True - if main_spec and stability_filter == "stable": - filename_prefix = "" - else: - filename_prefix = f"{stability_filter}-" - - description_suffix = { - "stable": "\n\n**✅ STABLE**: Production-ready APIs with backward compatibility guarantees.", - "experimental": "\n\n**🧪 EXPERIMENTAL**: Pre-release APIs (v1alpha, v1beta) that may change before becoming stable.", - "deprecated": "\n\n**⚠️ DEPRECATED**: Legacy APIs that may be removed in future versions. Use for migration reference only." - }.get(stability_filter, "") - else: - title_suffix = "" - filename_prefix = "" - description_suffix = "" - - spec = Specification( - LlamaStack, - Options( - server=Server(url="http://any-hosted-llama-stack.com"), - info=Info( - title=f"Llama Stack Specification{title_suffix}", - version=LLAMA_STACK_API_V1, - description=f"""This is the specification of the Llama Stack that provides - a set of endpoints and their corresponding interfaces that are tailored to - best leverage Llama Models.{description_suffix}""", - ), - include_standard_error_responses=True, - stability_filter=stability_filter, # Pass the filter to the generator - ), - ) - - yaml_filename = f"{filename_prefix}llama-stack-spec.yaml" - - with open(output_dir / yaml_filename, "w", encoding="utf-8") as fp: - y = yaml.YAML() - y.default_flow_style = False - y.block_seq_indent = 2 - y.map_indent = 2 - y.sequence_indent = 4 - y.sequence_dash_offset = 2 - y.width = 80 - y.allow_unicode = True - y.representer.add_representer(str, str_presenter) - - y.dump( - spec.get_json(), - fp, - ) - -def main(output_dir: str): - output_dir = Path(output_dir) - if not output_dir.exists(): - raise ValueError(f"Directory {output_dir} does not exist") - - # Validate API protocols before generating spec - return_type_errors = validate_api() - if return_type_errors: - print("\nAPI Method Return Type Validation Errors:\n") - for error in return_type_errors: - print(error, file=sys.stderr) - sys.exit(1) - - now = str(datetime.now()) - print(f"Converting the spec to YAML (openapi.yaml) and HTML (openapi.html) at {now}") - print("") - - # Generate main spec as stable APIs (llama-stack-spec.yaml) - print("Generating main specification (stable APIs)...") - generate_spec(output_dir, "stable", main_spec=True) - - print("Generating other stability-filtered specifications...") - generate_spec(output_dir, "experimental") - generate_spec(output_dir, "deprecated") - - print("Generating combined stable + experimental specification...") - generate_spec(output_dir, combined_spec=True) - - -if __name__ == "__main__": - fire.Fire(main) diff --git a/docs/openapi_generator/pyopenapi/README.md b/docs/openapi_generator/pyopenapi/README.md deleted file mode 100644 index 1b5fbce19..000000000 --- a/docs/openapi_generator/pyopenapi/README.md +++ /dev/null @@ -1 +0,0 @@ -This is forked from https://github.com/hunyadi/pyopenapi diff --git a/docs/openapi_generator/pyopenapi/__init__.py b/docs/openapi_generator/pyopenapi/__init__.py deleted file mode 100644 index 756f351d8..000000000 --- a/docs/openapi_generator/pyopenapi/__init__.py +++ /dev/null @@ -1,5 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. diff --git a/docs/openapi_generator/pyopenapi/generator.py b/docs/openapi_generator/pyopenapi/generator.py deleted file mode 100644 index 9b5f76e2a..000000000 --- a/docs/openapi_generator/pyopenapi/generator.py +++ /dev/null @@ -1,1175 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -import hashlib -import inspect -import ipaddress -import os -import types -import typing -from dataclasses import make_dataclass -from pathlib import Path -from typing import Annotated, Any, Dict, get_args, get_origin, Set, Union - -from fastapi import UploadFile - -from llama_stack_api import ( - Docstring, - Error, - JsonSchemaGenerator, - JsonType, - Schema, - SchemaOptions, - get_schema_identifier, - is_generic_list, - is_type_optional, - is_type_union, - is_unwrapped_body_param, - json_dump_string, - object_to_json, - parse_type, - python_type_to_name, - register_schema, - unwrap_generic_list, - unwrap_optional_type, - unwrap_union_types, -) -from pydantic import BaseModel - -from .operations import ( - EndpointOperation, - get_endpoint_events, - get_endpoint_operations, - HTTPMethod, -) -from .options import * -from .specification import ( - Components, - Document, - Example, - ExampleRef, - ExtraBodyParameter, - MediaType, - Operation, - Parameter, - ParameterLocation, - PathItem, - RequestBody, - Response, - ResponseRef, - SchemaOrRef, - SchemaRef, - Tag, - TagGroup, -) - -register_schema( - ipaddress.IPv4Address, - schema={ - "type": "string", - "format": "ipv4", - "title": "IPv4 address", - "description": "IPv4 address, according to dotted-quad ABNF syntax as defined in RFC 2673, section 3.2.", - }, - examples=["192.0.2.0", "198.51.100.1", "203.0.113.255"], -) - -register_schema( - ipaddress.IPv6Address, - schema={ - "type": "string", - "format": "ipv6", - "title": "IPv6 address", - "description": "IPv6 address, as defined in RFC 2373, section 2.2.", - }, - examples=[ - "FEDC:BA98:7654:3210:FEDC:BA98:7654:3210", - "1080:0:0:0:8:800:200C:417A", - "1080::8:800:200C:417A", - "FF01::101", - "::1", - ], -) - - -def http_status_to_string(status_code: HTTPStatusCode) -> str: - "Converts an HTTP status code to a string." - - if isinstance(status_code, HTTPStatus): - return str(status_code.value) - elif isinstance(status_code, int): - return str(status_code) - elif isinstance(status_code, str): - return status_code - else: - raise TypeError("expected: HTTP status code") - - -class SchemaBuilder: - schema_generator: JsonSchemaGenerator - schemas: Dict[str, Schema] - - def __init__(self, schema_generator: JsonSchemaGenerator) -> None: - self.schema_generator = schema_generator - self.schemas = {} - - def classdef_to_schema(self, typ: type) -> Schema: - """ - Converts a type to a JSON schema. - For nested types found in the type hierarchy, adds the type to the schema registry in the OpenAPI specification section `components`. - """ - - type_schema, type_definitions = self.schema_generator.classdef_to_schema(typ) - - # append schema to list of known schemas, to be used in OpenAPI's Components Object section - for ref, schema in type_definitions.items(): - self._add_ref(ref, schema) - - return type_schema - - def classdef_to_named_schema(self, name: str, typ: type) -> Schema: - schema = self.classdef_to_schema(typ) - self._add_ref(name, schema) - return schema - - def classdef_to_ref(self, typ: type) -> SchemaOrRef: - """ - Converts a type to a JSON schema, and if possible, returns a schema reference. - For composite types (such as classes), adds the type to the schema registry in the OpenAPI specification section `components`. - """ - - type_schema = self.classdef_to_schema(typ) - if typ is str or typ is int or typ is float: - # represent simple types as themselves - return type_schema - - type_name = get_schema_identifier(typ) - if type_name is not None: - return self._build_ref(type_name, type_schema) - - try: - type_name = python_type_to_name(typ) - return self._build_ref(type_name, type_schema) - except TypeError: - pass - - return type_schema - - def _build_ref(self, type_name: str, type_schema: Schema) -> SchemaRef: - self._add_ref(type_name, type_schema) - return SchemaRef(type_name) - - def _add_ref(self, type_name: str, type_schema: Schema) -> None: - if type_name not in self.schemas: - self.schemas[type_name] = type_schema - - -class ContentBuilder: - schema_builder: SchemaBuilder - schema_transformer: Optional[Callable[[SchemaOrRef], SchemaOrRef]] - sample_transformer: Optional[Callable[[JsonType], JsonType]] - - def __init__( - self, - schema_builder: SchemaBuilder, - schema_transformer: Optional[Callable[[SchemaOrRef], SchemaOrRef]] = None, - sample_transformer: Optional[Callable[[JsonType], JsonType]] = None, - ) -> None: - self.schema_builder = schema_builder - self.schema_transformer = schema_transformer - self.sample_transformer = sample_transformer - - def build_content( - self, payload_type: type, examples: Optional[List[Any]] = None - ) -> Dict[str, MediaType]: - "Creates the content subtree for a request or response." - - def is_iterator_type(t): - return "StreamChunk" in str(t) or "OpenAIResponseObjectStream" in str(t) - - def get_media_type(t): - if is_generic_list(t): - return "application/jsonl" - elif is_iterator_type(t): - return "text/event-stream" - else: - return "application/json" - - if typing.get_origin(payload_type) in (typing.Union, types.UnionType): - media_types = [] - item_types = [] - for x in typing.get_args(payload_type): - media_types.append(get_media_type(x)) - item_types.append(x) - - if len(set(media_types)) == 1: - # all types have the same media type - return {media_types[0]: self.build_media_type(payload_type, examples)} - else: - # different types have different media types - return { - media_type: self.build_media_type(item_type, examples) - for media_type, item_type in zip(media_types, item_types) - } - - if is_generic_list(payload_type): - media_type = "application/jsonl" - item_type = unwrap_generic_list(payload_type) - else: - media_type = "application/json" - item_type = payload_type - - return {media_type: self.build_media_type(item_type, examples)} - - def build_media_type( - self, item_type: type, examples: Optional[List[Any]] = None - ) -> MediaType: - schema = self.schema_builder.classdef_to_ref(item_type) - if self.schema_transformer: - schema_transformer: Callable[[SchemaOrRef], SchemaOrRef] = ( - self.schema_transformer - ) - schema = schema_transformer(schema) - - if not examples: - return MediaType(schema=schema) - - if len(examples) == 1: - return MediaType(schema=schema, example=self._build_example(examples[0])) - - return MediaType( - schema=schema, - examples=self._build_examples(examples), - ) - - def _build_examples( - self, examples: List[Any] - ) -> Dict[str, Union[Example, ExampleRef]]: - "Creates a set of several examples for a media type." - - if self.sample_transformer: - sample_transformer: Callable[[JsonType], JsonType] = self.sample_transformer # type: ignore - else: - sample_transformer = lambda sample: sample - - results: Dict[str, Union[Example, ExampleRef]] = {} - for example in examples: - value = sample_transformer(object_to_json(example)) - - hash_string = ( - hashlib.sha256(json_dump_string(value).encode("utf-8")) - .digest() - .hex()[:16] - ) - name = f"ex-{hash_string}" - - results[name] = Example(value=value) - - return results - - def _build_example(self, example: Any) -> Any: - "Creates a single example for a media type." - - if self.sample_transformer: - sample_transformer: Callable[[JsonType], JsonType] = self.sample_transformer # type: ignore - else: - sample_transformer = lambda sample: sample - - return sample_transformer(object_to_json(example)) - - -@dataclass -class ResponseOptions: - """ - Configuration options for building a response for an operation. - - :param type_descriptions: Maps each response type to a textual description (if available). - :param examples: A list of response examples. - :param status_catalog: Maps each response type to an HTTP status code. - :param default_status_code: HTTP status code assigned to responses that have no mapping. - """ - - type_descriptions: Dict[type, str] - examples: Optional[List[Any]] - status_catalog: Dict[type, HTTPStatusCode] - default_status_code: HTTPStatusCode - - -@dataclass -class StatusResponse: - status_code: str - types: List[type] = dataclasses.field(default_factory=list) - examples: List[Any] = dataclasses.field(default_factory=list) - - -def create_docstring_for_request( - request_name: str, fields: List[Tuple[str, type, Any]], doc_params: Dict[str, str] -) -> str: - """Creates a ReST-style docstring for a dynamically generated request dataclass.""" - lines = ["\n"] # Short description - - # Add parameter documentation in ReST format - for name, type_ in fields: - desc = doc_params.get(name, "") - lines.append(f":param {name}: {desc}") - - return "\n".join(lines) - - -class ResponseBuilder: - content_builder: ContentBuilder - - def __init__(self, content_builder: ContentBuilder) -> None: - self.content_builder = content_builder - - def _get_status_responses( - self, options: ResponseOptions - ) -> Dict[str, StatusResponse]: - status_responses: Dict[str, StatusResponse] = {} - - for response_type in options.type_descriptions.keys(): - status_code = http_status_to_string( - options.status_catalog.get(response_type, options.default_status_code) - ) - - # look up response for status code - if status_code not in status_responses: - status_responses[status_code] = StatusResponse(status_code) - status_response = status_responses[status_code] - - # append response types that are assigned the given status code - status_response.types.append(response_type) - - # append examples that have the matching response type - if options.examples: - status_response.examples.extend( - example - for example in options.examples - if isinstance(example, response_type) - ) - - return dict(sorted(status_responses.items())) - - def build_response( - self, options: ResponseOptions - ) -> Dict[str, Union[Response, ResponseRef]]: - """ - Groups responses that have the same status code. - """ - - responses: Dict[str, Union[Response, ResponseRef]] = {} - status_responses = self._get_status_responses(options) - for status_code, status_response in status_responses.items(): - response_types = tuple(status_response.types) - if len(response_types) > 1: - composite_response_type: type = Union[response_types] # type: ignore - else: - (response_type,) = response_types - composite_response_type = response_type - - description = " **OR** ".join( - filter( - None, - ( - options.type_descriptions[response_type] - for response_type in response_types - ), - ) - ) - - responses[status_code] = self._build_response( - response_type=composite_response_type, - description=description, - examples=status_response.examples or None, - ) - - return responses - - def _build_response( - self, - response_type: type, - description: str, - examples: Optional[List[Any]] = None, - ) -> Response: - "Creates a response subtree." - - if response_type is not None: - return Response( - description=description, - content=self.content_builder.build_content(response_type, examples), - ) - else: - return Response(description=description) - - -def schema_error_wrapper(schema: SchemaOrRef) -> Schema: - "Wraps an error output schema into a top-level error schema." - - return { - "type": "object", - "properties": { - "error": schema, # type: ignore - }, - "additionalProperties": False, - "required": [ - "error", - ], - } - - -def sample_error_wrapper(error: JsonType) -> JsonType: - "Wraps an error output sample into a top-level error sample." - - return {"error": error} - - -class Generator: - endpoint: type - options: Options - schema_builder: SchemaBuilder - responses: Dict[str, Response] - - def __init__(self, endpoint: type, options: Options) -> None: - self.endpoint = endpoint - self.options = options - schema_generator = JsonSchemaGenerator( - SchemaOptions( - definitions_path="#/components/schemas/", - use_examples=self.options.use_examples, - property_description_fun=options.property_description_fun, - ) - ) - self.schema_builder = SchemaBuilder(schema_generator) - self.responses = {} - - # Create standard error responses - self._create_standard_error_responses() - - def _create_standard_error_responses(self) -> None: - """ - Creates standard error responses that can be reused across operations. - These will be added to the components.responses section of the OpenAPI document. - """ - # Get the Error schema - error_schema = self.schema_builder.classdef_to_ref(Error) - - # Create standard error responses - self.responses["BadRequest400"] = Response( - description="The request was invalid or malformed", - content={ - "application/json": MediaType( - schema=error_schema, - example={ - "status": 400, - "title": "Bad Request", - "detail": "The request was invalid or malformed", - }, - ) - }, - ) - - self.responses["TooManyRequests429"] = Response( - description="The client has sent too many requests in a given amount of time", - content={ - "application/json": MediaType( - schema=error_schema, - example={ - "status": 429, - "title": "Too Many Requests", - "detail": "You have exceeded the rate limit. Please try again later.", - }, - ) - }, - ) - - self.responses["InternalServerError500"] = Response( - description="The server encountered an unexpected error", - content={ - "application/json": MediaType( - schema=error_schema, - example={ - "status": 500, - "title": "Internal Server Error", - "detail": "An unexpected error occurred. Our team has been notified.", - }, - ) - }, - ) - - # Add a default error response for any unhandled error cases - self.responses["DefaultError"] = Response( - description="An unexpected error occurred", - content={ - "application/json": MediaType( - schema=error_schema, - example={ - "status": 0, - "title": "Error", - "detail": "An unexpected error occurred", - }, - ) - }, - ) - - def _build_type_tag(self, ref: str, schema: Schema) -> Tag: - # Don't include schema definition in the tag description because for one, - # it is not very valuable and for another, it causes string formatting - # discrepancies via the Stainless Studio. - # - # definition = f'' - title = typing.cast(str, schema.get("title")) - description = typing.cast(str, schema.get("description")) - return Tag( - name=ref, - description="\n\n".join(s for s in (title, description) if s is not None), - ) - - def _build_extra_tag_groups( - self, extra_types: Dict[str, Dict[str, type]] - ) -> Dict[str, List[Tag]]: - """ - Creates a dictionary of tag group captions as keys, and tag lists as values. - - :param extra_types: A dictionary of type categories and list of types in that category. - """ - - extra_tags: Dict[str, List[Tag]] = {} - - for category_name, category_items in extra_types.items(): - tag_list: List[Tag] = [] - - for name, extra_type in category_items.items(): - schema = self.schema_builder.classdef_to_schema(extra_type) - tag_list.append(self._build_type_tag(name, schema)) - - if tag_list: - extra_tags[category_name] = tag_list - - return extra_tags - - def _get_api_group_for_operation(self, op) -> str | None: - """ - Determine the API group for an operation based on its route path. - - Args: - op: The endpoint operation - - Returns: - The API group name derived from the route, or None if unable to determine - """ - if not hasattr(op, 'webmethod') or not op.webmethod or not hasattr(op.webmethod, 'route'): - return None - - route = op.webmethod.route - if not route or not route.startswith('/'): - return None - - # Extract API group from route path - # Examples: /v1/agents/list -> agents-api - # /v1/responses -> responses-api - # /v1/models -> models-api - path_parts = route.strip('/').split('/') - - if len(path_parts) < 2: - return None - - # Skip version prefix (v1, v1alpha, v1beta, etc.) - if path_parts[0].startswith('v1'): - if len(path_parts) < 2: - return None - api_segment = path_parts[1] - else: - api_segment = path_parts[0] - - # Convert to supplementary file naming convention - # agents -> agents-api, responses -> responses-api, etc. - return f"{api_segment}-api" - - def _load_supplemental_content(self, api_group: str | None) -> str: - """ - Load supplemental content for an API group based on stability level. - - Follows this resolution order: - 1. docs/supplementary/{stability}/{api_group}.md - 2. docs/supplementary/shared/{api_group}.md (fallback) - 3. Empty string if no files found - - Args: - api_group: The API group name (e.g., "agents-responses-api"), or None if no mapping exists - - Returns: - The supplemental content as markdown string, or empty string if not found - """ - if not api_group: - return "" - - base_path = Path(__file__).parent.parent.parent / "supplementary" - - # Try stability-specific content first if stability filter is set - if self.options.stability_filter: - stability_path = base_path / self.options.stability_filter / f"{api_group}.md" - if stability_path.exists(): - try: - return stability_path.read_text(encoding="utf-8") - except Exception as e: - print(f"Warning: Could not read stability-specific supplemental content from {stability_path}: {e}") - - # Fall back to shared content - shared_path = base_path / "shared" / f"{api_group}.md" - if shared_path.exists(): - try: - return shared_path.read_text(encoding="utf-8") - except Exception as e: - print(f"Warning: Could not read shared supplemental content from {shared_path}: {e}") - - # No supplemental content found - return "" - - def _build_operation(self, op: EndpointOperation) -> Operation: - if op.defining_class.__name__ in [ - "SyntheticDataGeneration", - "PostTraining", - ]: - op.defining_class.__name__ = f"{op.defining_class.__name__} (Coming Soon)" - print(op.defining_class.__name__) - - # TODO (xiyan): temporary fix for datasetio inner impl + datasets api - # if op.defining_class.__name__ in ["DatasetIO"]: - # op.defining_class.__name__ = "Datasets" - - doc_string = parse_type(op.func_ref) - doc_params = dict( - (param.name, param.description) for param in doc_string.params.values() - ) - - # parameters passed in URL component path - path_parameters = [ - Parameter( - name=param_name, - in_=ParameterLocation.Path, - description=doc_params.get(param_name), - required=True, - schema=self.schema_builder.classdef_to_ref(param_type), - ) - for param_name, param_type in op.path_params - ] - - # parameters passed in URL component query string - query_parameters = [] - for param_name, param_type in op.query_params: - if is_type_optional(param_type): - inner_type: type = unwrap_optional_type(param_type) - required = False - else: - inner_type = param_type - required = True - - query_parameter = Parameter( - name=param_name, - in_=ParameterLocation.Query, - description=doc_params.get(param_name), - required=required, - schema=self.schema_builder.classdef_to_ref(inner_type), - ) - query_parameters.append(query_parameter) - - # parameters passed anywhere - parameters = path_parameters + query_parameters - - # Build extra body parameters documentation - extra_body_parameters = [] - for param_name, param_type, description in op.extra_body_params: - if is_type_optional(param_type): - inner_type: type = unwrap_optional_type(param_type) - required = False - else: - inner_type = param_type - required = True - - # Use description from ExtraBodyField if available, otherwise from docstring - param_description = description or doc_params.get(param_name) - - extra_body_param = ExtraBodyParameter( - name=param_name, - schema=self.schema_builder.classdef_to_ref(inner_type), - description=param_description, - required=required, - ) - extra_body_parameters.append(extra_body_param) - - webmethod = getattr(op.func_ref, "__webmethod__", None) - raw_bytes_request_body = False - if webmethod: - raw_bytes_request_body = getattr(webmethod, "raw_bytes_request_body", False) - - # data passed in request body as raw bytes cannot have request parameters - if raw_bytes_request_body and op.request_params: - raise ValueError( - "Cannot have both raw bytes request body and request parameters" - ) - - # data passed in request body as raw bytes - if raw_bytes_request_body: - requestBody = RequestBody( - content={ - "application/octet-stream": { - "schema": { - "type": "string", - "format": "binary", - } - } - }, - required=True, - ) - # data passed in request body as multipart/form-data - elif op.multipart_params: - builder = ContentBuilder(self.schema_builder) - - # Create schema properties for multipart form fields - properties = {} - required_fields = [] - - for name, param_type in op.multipart_params: - if get_origin(param_type) is Annotated: - base_type = get_args(param_type)[0] - else: - base_type = param_type - - # Check if the type is optional - is_optional = is_type_optional(base_type) - if is_optional: - base_type = unwrap_optional_type(base_type) - - if base_type is UploadFile: - # File upload - properties[name] = {"type": "string", "format": "binary"} - else: - # All other types - generate schema reference - # This includes enums, BaseModels, and simple types - properties[name] = self.schema_builder.classdef_to_ref(base_type) - - if not is_optional: - required_fields.append(name) - - multipart_schema = { - "type": "object", - "properties": properties, - "required": required_fields, - } - - requestBody = RequestBody( - content={"multipart/form-data": {"schema": multipart_schema}}, - required=True, - ) - # data passed in payload as JSON and mapped to request parameters - elif op.request_params: - builder = ContentBuilder(self.schema_builder) - first = next(iter(op.request_params)) - request_name, request_type = first - - # Special case: if there's a single parameter with Body(embed=False) that's a BaseModel, - # unwrap it to show the flat structure in the OpenAPI spec - # Example: openai_chat_completion() - if (len(op.request_params) == 1 and is_unwrapped_body_param(request_type)): - pass - else: - op_name = "".join(word.capitalize() for word in op.name.split("_")) - request_name = f"{op_name}Request" - fields = [ - ( - name, - type_, - ) - for name, type_ in op.request_params - ] - request_type = make_dataclass( - request_name, - fields, - namespace={ - "__doc__": create_docstring_for_request( - request_name, fields, doc_params - ) - }, - ) - - requestBody = RequestBody( - content={ - "application/json": builder.build_media_type( - request_type, op.request_examples - ) - }, - description=doc_params.get(request_name), - required=True, - ) - else: - requestBody = None - - # success response types - if doc_string.returns is None and is_type_union(op.response_type): - # split union of return types into a list of response types - success_type_docstring: Dict[type, Docstring] = { - typing.cast(type, item): parse_type(item) - for item in unwrap_union_types(op.response_type) - } - success_type_descriptions = { - item: doc_string.short_description - for item, doc_string in success_type_docstring.items() - } - else: - # use return type as a single response type - success_type_descriptions = { - op.response_type: ( - doc_string.returns.description if doc_string.returns else "OK" - ) - } - - response_examples = op.response_examples or [] - success_examples = [ - example - for example in response_examples - if not isinstance(example, Exception) - ] - - content_builder = ContentBuilder(self.schema_builder) - response_builder = ResponseBuilder(content_builder) - response_options = ResponseOptions( - success_type_descriptions, - success_examples if self.options.use_examples else None, - self.options.success_responses, - "200", - ) - responses = response_builder.build_response(response_options) - - # failure response types - if doc_string.raises: - exception_types: Dict[type, str] = { - item.raise_type: item.description for item in doc_string.raises.values() - } - exception_examples = [ - example - for example in response_examples - if isinstance(example, Exception) - ] - - if self.options.error_wrapper: - schema_transformer = schema_error_wrapper - sample_transformer = sample_error_wrapper - else: - schema_transformer = None - sample_transformer = None - - content_builder = ContentBuilder( - self.schema_builder, - schema_transformer=schema_transformer, - sample_transformer=sample_transformer, - ) - response_builder = ResponseBuilder(content_builder) - response_options = ResponseOptions( - exception_types, - exception_examples if self.options.use_examples else None, - self.options.error_responses, - "500", - ) - responses.update(response_builder.build_response(response_options)) - - assert len(responses.keys()) > 0, f"No responses found for {op.name}" - - # Add standard error response references - if self.options.include_standard_error_responses: - if "400" not in responses: - responses["400"] = ResponseRef("BadRequest400") - if "429" not in responses: - responses["429"] = ResponseRef("TooManyRequests429") - if "500" not in responses: - responses["500"] = ResponseRef("InternalServerError500") - if "default" not in responses: - responses["default"] = ResponseRef("DefaultError") - - if op.event_type is not None: - builder = ContentBuilder(self.schema_builder) - callbacks = { - f"{op.func_name}_callback": { - "{$request.query.callback}": PathItem( - post=Operation( - requestBody=RequestBody( - content=builder.build_content(op.event_type) - ), - responses={"200": Response(description="OK")}, - ) - ) - } - } - - else: - callbacks = None - - # Build base description from docstring - base_description = "\n".join( - filter(None, [doc_string.short_description, doc_string.long_description]) - ) - - # Individual endpoints get clean descriptions only - description = base_description - - return Operation( - tags=[ - getattr(op.defining_class, "API_NAMESPACE", op.defining_class.__name__) - ], - summary=doc_string.short_description, - description=description, - parameters=parameters, - requestBody=requestBody, - responses=responses, - callbacks=callbacks, - deprecated=getattr(op.webmethod, "deprecated", False) - or "DEPRECATED" in op.func_name, - security=[] if op.public else None, - extraBodyParameters=extra_body_parameters if extra_body_parameters else None, - ) - - def _get_api_stability_priority(self, api_level: str) -> int: - """ - Return sorting priority for API stability levels. - Lower numbers = higher priority (appear first) - - :param api_level: The API level (e.g., "v1", "v1beta", "v1alpha") - :return: Priority number for sorting - """ - stability_order = { - "v1": 0, # Stable - highest priority - "v1beta": 1, # Beta - medium priority - "v1alpha": 2, # Alpha - lowest priority - } - return stability_order.get(api_level, 999) # Unknown levels go last - - def generate(self) -> Document: - paths: Dict[str, PathItem] = {} - endpoint_classes: Set[type] = set() - - # Collect all operations and filter by stability if specified - operations = list( - get_endpoint_operations( - self.endpoint, use_examples=self.options.use_examples - ) - ) - - # Filter operations by stability level if requested - if self.options.stability_filter: - filtered_operations = [] - for op in operations: - deprecated = ( - getattr(op.webmethod, "deprecated", False) - or "DEPRECATED" in op.func_name - ) - stability_level = op.webmethod.level - - if self.options.stability_filter == "stable": - # Include v1 non-deprecated endpoints - if stability_level == "v1" and not deprecated: - filtered_operations.append(op) - elif self.options.stability_filter == "experimental": - # Include v1alpha and v1beta endpoints (deprecated or not) - if stability_level in ["v1alpha", "v1beta"]: - filtered_operations.append(op) - elif self.options.stability_filter == "deprecated": - # Include only deprecated endpoints - if deprecated: - filtered_operations.append(op) - elif self.options.stability_filter == "stainless": - # Include stable (v1), deprecated (v1 deprecated), and experimental (v1alpha, v1beta) endpoints - if stability_level == "v1" or stability_level in ["v1alpha", "v1beta"]: - filtered_operations.append(op) - - operations = filtered_operations - print( - f"Filtered to {len(operations)} operations for stability level: {self.options.stability_filter}" - ) - - # Sort operations by multiple criteria for consistent ordering: - # 1. Stability level with deprecation handling (global priority): - # - Active stable (v1) comes first - # - Beta (v1beta) comes next - # - Alpha (v1alpha) comes next - # - Deprecated stable (v1 deprecated) comes last - # 2. Route path (group related endpoints within same stability level) - # 3. HTTP method (GET, POST, PUT, DELETE, PATCH) - # 4. Operation name (alphabetical) - def sort_key(op): - http_method_order = { - HTTPMethod.GET: 0, - HTTPMethod.POST: 1, - HTTPMethod.PUT: 2, - HTTPMethod.DELETE: 3, - HTTPMethod.PATCH: 4, - } - - # Enhanced stability priority for migration pattern support - deprecated = getattr(op.webmethod, "deprecated", False) - stability_priority = self._get_api_stability_priority(op.webmethod.level) - - # Deprecated versions should appear after everything else - # This ensures deprecated stable endpoints come last globally - if deprecated: - stability_priority += 10 # Push deprecated endpoints to the end - - return ( - stability_priority, # Global stability handling comes first - op.get_route( - op.webmethod - ), # Group by route path within stability level - http_method_order.get(op.http_method, 999), - op.func_name, - ) - - operations.sort(key=sort_key) - - # Debug output for migration pattern tracking - migration_routes = {} - for op in operations: - route_key = (op.get_route(op.webmethod), op.http_method) - if route_key not in migration_routes: - migration_routes[route_key] = [] - migration_routes[route_key].append( - (op.webmethod.level, getattr(op.webmethod, "deprecated", False)) - ) - - for route_key, versions in migration_routes.items(): - if len(versions) > 1: - print(f"Migration pattern detected for {route_key[1]} {route_key[0]}:") - for level, deprecated in versions: - status = "DEPRECATED" if deprecated else "ACTIVE" - print(f" - {level} ({status})") - - for op in operations: - endpoint_classes.add(op.defining_class) - - operation = self._build_operation(op) - - if op.http_method is HTTPMethod.GET: - pathItem = PathItem(get=operation) - elif op.http_method is HTTPMethod.PUT: - pathItem = PathItem(put=operation) - elif op.http_method is HTTPMethod.POST: - pathItem = PathItem(post=operation) - elif op.http_method is HTTPMethod.DELETE: - pathItem = PathItem(delete=operation) - elif op.http_method is HTTPMethod.PATCH: - pathItem = PathItem(patch=operation) - else: - raise NotImplementedError(f"unknown HTTP method: {op.http_method}") - - route = op.get_route(op.webmethod) - route = route.replace(":path", "") - print(f"route: {route}") - if route in paths: - paths[route].update(pathItem) - else: - paths[route] = pathItem - - operation_tags: List[Tag] = [] - for cls in endpoint_classes: - doc_string = parse_type(cls) - if hasattr(cls, "API_NAMESPACE") and cls.API_NAMESPACE != cls.__name__: - continue - - # Add supplemental content to tag pages - api_group = f"{cls.__name__.lower()}-api" - supplemental_content = self._load_supplemental_content(api_group) - - tag_description = doc_string.long_description or "" - if supplemental_content: - if tag_description: - tag_description = f"{tag_description}\n\n{supplemental_content}" - else: - tag_description = supplemental_content - - operation_tags.append( - Tag( - name=cls.__name__, - description=tag_description, - displayName=doc_string.short_description, - ) - ) - - # types that are emitted by events - event_tags: List[Tag] = [] - events = get_endpoint_events(self.endpoint) - for ref, event_type in events.items(): - event_schema = self.schema_builder.classdef_to_named_schema(ref, event_type) - event_tags.append(self._build_type_tag(ref, event_schema)) - - # types that are explicitly declared - extra_tag_groups: Dict[str, List[Tag]] = {} - if self.options.extra_types is not None: - if isinstance(self.options.extra_types, list): - extra_tag_groups = self._build_extra_tag_groups( - {"AdditionalTypes": self.options.extra_types} - ) - elif isinstance(self.options.extra_types, dict): - extra_tag_groups = self._build_extra_tag_groups( - self.options.extra_types - ) - else: - raise TypeError( - f"type mismatch for collection of extra types: {type(self.options.extra_types)}" - ) - - # list all operations and types - tags: List[Tag] = [] - tags.extend(operation_tags) - tags.extend(event_tags) - for extra_tag_group in extra_tag_groups.values(): - tags.extend(extra_tag_group) - - tags = sorted(tags, key=lambda t: t.name) - - tag_groups = [] - if operation_tags: - tag_groups.append( - TagGroup( - name=self.options.map("Operations"), - tags=sorted(tag.name for tag in operation_tags), - ) - ) - if event_tags: - tag_groups.append( - TagGroup( - name=self.options.map("Events"), - tags=sorted(tag.name for tag in event_tags), - ) - ) - for caption, extra_tag_group in extra_tag_groups.items(): - tag_groups.append( - TagGroup( - name=caption, - tags=sorted(tag.name for tag in extra_tag_group), - ) - ) - - if self.options.default_security_scheme: - securitySchemes = {"Default": self.options.default_security_scheme} - else: - securitySchemes = None - - return Document( - openapi=".".join(str(item) for item in self.options.version), - info=self.options.info, - jsonSchemaDialect=( - "https://json-schema.org/draft/2020-12/schema" - if self.options.version >= (3, 1, 0) - else None - ), - servers=[self.options.server], - paths=paths, - components=Components( - schemas=self.schema_builder.schemas, - responses=self.responses, - securitySchemes=securitySchemes, - ), - security=[{"Default": []}], - tags=tags, - tagGroups=tag_groups, - ) diff --git a/docs/openapi_generator/pyopenapi/operations.py b/docs/openapi_generator/pyopenapi/operations.py deleted file mode 100644 index 42a554f2c..000000000 --- a/docs/openapi_generator/pyopenapi/operations.py +++ /dev/null @@ -1,459 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -import collections.abc -import enum -import inspect -import typing -from dataclasses import dataclass -from typing import Any, Callable, Dict, Iterable, Iterator, List, Optional, Tuple, Union - -from termcolor import colored - -from typing import get_origin, get_args - -from fastapi import UploadFile -from fastapi.params import File, Form -from typing import Annotated - -from llama_stack_api import ( - ExtraBodyField, - LLAMA_STACK_API_V1, - LLAMA_STACK_API_V1ALPHA, - LLAMA_STACK_API_V1BETA, - get_signature, -) - - -def split_prefix( - s: str, sep: str, prefix: Union[str, Iterable[str]] -) -> Tuple[Optional[str], str]: - """ - Recognizes a prefix at the beginning of a string. - - :param s: The string to check. - :param sep: A separator between (one of) the prefix(es) and the rest of the string. - :param prefix: A string or a set of strings to identify as a prefix. - :return: A tuple of the recognized prefix (if any) and the rest of the string excluding the separator (or the entire string). - """ - - if isinstance(prefix, str): - if s.startswith(prefix + sep): - return prefix, s[len(prefix) + len(sep) :] - else: - return None, s - - for p in prefix: - if s.startswith(p + sep): - return p, s[len(p) + len(sep) :] - - return None, s - - -def _get_annotation_type(annotation: Union[type, str], callable: Callable) -> type: - "Maps a stringized reference to a type, as if using `from __future__ import annotations`." - - if isinstance(annotation, str): - return eval(annotation, callable.__globals__) - else: - return annotation - - -class HTTPMethod(enum.Enum): - "HTTP method used to invoke an endpoint operation." - - GET = "GET" - POST = "POST" - PUT = "PUT" - DELETE = "DELETE" - PATCH = "PATCH" - - -OperationParameter = Tuple[str, type] - - -class ValidationError(TypeError): - pass - - -@dataclass -class EndpointOperation: - """ - Type information and metadata associated with an endpoint operation. - - "param defining_class: The most specific class that defines the endpoint operation. - :param name: The short name of the endpoint operation. - :param func_name: The name of the function to invoke when the operation is triggered. - :param func_ref: The callable to invoke when the operation is triggered. - :param route: A custom route string assigned to the operation. - :param path_params: Parameters of the operation signature that are passed in the path component of the URL string. - :param query_params: Parameters of the operation signature that are passed in the query string as `key=value` pairs. - :param request_params: The parameter that corresponds to the data transmitted in the request body. - :param multipart_params: Parameters that indicate multipart/form-data request body. - :param extra_body_params: Parameters that arrive via extra_body and are documented but not in SDK. - :param event_type: The Python type of the data that is transmitted out-of-band (e.g. via websockets) while the operation is in progress. - :param response_type: The Python type of the data that is transmitted in the response body. - :param http_method: The HTTP method used to invoke the endpoint such as POST, GET or PUT. - :param public: True if the operation can be invoked without prior authentication. - :param request_examples: Sample requests that the operation might take. - :param response_examples: Sample responses that the operation might produce. - """ - - defining_class: type - name: str - func_name: str - func_ref: Callable[..., Any] - route: Optional[str] - path_params: List[OperationParameter] - query_params: List[OperationParameter] - request_params: Optional[OperationParameter] - multipart_params: List[OperationParameter] - extra_body_params: List[tuple[str, type, str | None]] - event_type: Optional[type] - response_type: type - http_method: HTTPMethod - public: bool - request_examples: Optional[List[Any]] = None - response_examples: Optional[List[Any]] = None - - def get_route(self, webmethod) -> str: - api_level = webmethod.level - - if self.route is not None: - return "/".join(["", api_level, self.route.lstrip("/")]) - - route_parts = ["", api_level, self.name] - for param_name, _ in self.path_params: - route_parts.append("{" + param_name + "}") - return "/".join(route_parts) - - -class _FormatParameterExtractor: - "A visitor to exract parameters in a format string." - - keys: List[str] - - def __init__(self) -> None: - self.keys = [] - - def __getitem__(self, key: str) -> None: - self.keys.append(key) - return None - - -def _get_route_parameters(route: str) -> List[str]: - extractor = _FormatParameterExtractor() - # Replace all occurrences of ":path" with empty string - route = route.replace(":path", "") - route.format_map(extractor) - return extractor.keys - - -def _get_endpoint_functions( - endpoint: type, prefixes: List[str] -) -> Iterator[Tuple[str, str, str, Callable]]: - if not inspect.isclass(endpoint): - raise ValueError(f"object is not a class type: {endpoint}") - - functions = inspect.getmembers(endpoint, inspect.isfunction) - for func_name, func_ref in functions: - webmethods = [] - - # Check for multiple webmethods (stacked decorators) - if hasattr(func_ref, "__webmethods__"): - webmethods = func_ref.__webmethods__ - - if not webmethods: - continue - - for webmethod in webmethods: - print(f"Processing {colored(func_name, 'white')}...") - operation_name = func_name - - if webmethod.method == "GET": - prefix = "get" - elif webmethod.method == "DELETE": - prefix = "delete" - elif webmethod.method == "POST": - prefix = "post" - elif operation_name.startswith("get_") or operation_name.endswith("/get"): - prefix = "get" - elif ( - operation_name.startswith("delete_") - or operation_name.startswith("remove_") - or operation_name.endswith("/delete") - or operation_name.endswith("/remove") - ): - prefix = "delete" - else: - # by default everything else is a POST - prefix = "post" - - yield prefix, operation_name, func_name, func_ref - - -def _get_defining_class(member_fn: str, derived_cls: type) -> type: - "Find the class in which a member function is first defined in a class inheritance hierarchy." - - # iterate in reverse member resolution order to find most specific class first - for cls in reversed(inspect.getmro(derived_cls)): - for name, _ in inspect.getmembers(cls, inspect.isfunction): - if name == member_fn: - return cls - - raise ValidationError( - f"cannot find defining class for {member_fn} in {derived_cls}" - ) - - -def get_endpoint_operations( - endpoint: type, use_examples: bool = True -) -> List[EndpointOperation]: - """ - Extracts a list of member functions in a class eligible for HTTP interface binding. - - These member functions are expected to have a signature like - ``` - async def get_object(self, uuid: str, version: int) -> Object: - ... - ``` - where the prefix `get_` translates to an HTTP GET, `object` corresponds to the name of the endpoint operation, - `uuid` and `version` are mapped to route path elements in "/object/{uuid}/{version}", and `Object` becomes - the response payload type, transmitted as an object serialized to JSON. - - If the member function has a composite class type in the argument list, it becomes the request payload type, - and the caller is expected to provide the data as serialized JSON in an HTTP POST request. - - :param endpoint: A class with member functions that can be mapped to an HTTP endpoint. - :param use_examples: Whether to return examples associated with member functions. - """ - - result = [] - - for prefix, operation_name, func_name, func_ref in _get_endpoint_functions( - endpoint, - [ - "create", - "delete", - "do", - "get", - "post", - "put", - "remove", - "set", - "update", - ], - ): - # Get all webmethods for this function - webmethods = getattr(func_ref, "__webmethods__", []) - - # Create one EndpointOperation for each webmethod - for webmethod in webmethods: - route = webmethod.route - route_params = _get_route_parameters(route) if route is not None else None - public = webmethod.public - request_examples = webmethod.request_examples - response_examples = webmethod.response_examples - - # inspect function signature for path and query parameters, and request/response payload type - signature = get_signature(func_ref) - - path_params = [] - query_params = [] - request_params = [] - multipart_params = [] - extra_body_params = [] - - for param_name, parameter in signature.parameters.items(): - param_type = _get_annotation_type(parameter.annotation, func_ref) - - # omit "self" for instance methods - if param_name == "self" and param_type is inspect.Parameter.empty: - continue - - # check if all parameters have explicit type - if parameter.annotation is inspect.Parameter.empty: - raise ValidationError( - f"parameter '{param_name}' in function '{func_name}' has no type annotation" - ) - - # Check if this is an extra_body parameter - is_extra_body, extra_body_desc = _is_extra_body_param(param_type) - if is_extra_body: - # Store in a separate list for documentation - extra_body_params.append((param_name, param_type, extra_body_desc)) - continue # Skip adding to request_params - - is_multipart = _is_multipart_param(param_type) - - if prefix in ["get", "delete"]: - if route_params is not None and param_name in route_params: - path_params.append((param_name, param_type)) - else: - query_params.append((param_name, param_type)) - else: - if route_params is not None and param_name in route_params: - path_params.append((param_name, param_type)) - elif is_multipart: - multipart_params.append((param_name, param_type)) - else: - request_params.append((param_name, param_type)) - - # check if function has explicit return type - if signature.return_annotation is inspect.Signature.empty: - raise ValidationError( - f"function '{func_name}' has no return type annotation" - ) - - return_type = _get_annotation_type(signature.return_annotation, func_ref) - - # operations that produce events are labeled as Generator[YieldType, SendType, ReturnType] - # where YieldType is the event type, SendType is None, and ReturnType is the immediate response type to the request - if typing.get_origin(return_type) is collections.abc.Generator: - event_type, send_type, response_type = typing.get_args(return_type) - if send_type is not type(None): - raise ValidationError( - f"function '{func_name}' has a return type Generator[Y,S,R] and therefore looks like an event but has an explicit send type" - ) - else: - event_type = None - - def process_type(t): - if typing.get_origin(t) is collections.abc.AsyncIterator: - # NOTE(ashwin): this is SSE and there is no way to represent it. either we make it a List - # or the item type. I am choosing it to be the latter - args = typing.get_args(t) - return args[0] - elif typing.get_origin(t) is typing.Union: - types = [process_type(a) for a in typing.get_args(t)] - return typing._UnionGenericAlias(typing.Union, tuple(types)) - else: - return t - - response_type = process_type(return_type) - - if prefix in ["delete", "remove"]: - http_method = HTTPMethod.DELETE - elif prefix == "post": - http_method = HTTPMethod.POST - elif prefix == "get": - http_method = HTTPMethod.GET - elif prefix == "set": - http_method = HTTPMethod.PUT - elif prefix == "update": - http_method = HTTPMethod.PATCH - else: - raise ValidationError(f"unknown prefix {prefix}") - - # Create an EndpointOperation for this specific webmethod - operation = EndpointOperation( - defining_class=_get_defining_class(func_name, endpoint), - name=operation_name, - func_name=func_name, - func_ref=func_ref, - route=route, - path_params=path_params, - query_params=query_params, - request_params=request_params, - multipart_params=multipart_params, - extra_body_params=extra_body_params, - event_type=event_type, - response_type=response_type, - http_method=http_method, - public=public, - request_examples=request_examples if use_examples else None, - response_examples=response_examples if use_examples else None, - ) - - # Store the specific webmethod with this operation - operation.webmethod = webmethod - result.append(operation) - - if not result: - raise ValidationError(f"no eligible endpoint operations in type {endpoint}") - - return result - - -def get_endpoint_events(endpoint: type) -> Dict[str, type]: - results = {} - - for decl in typing.get_type_hints(endpoint).values(): - # check if signature is Callable[...] - origin = typing.get_origin(decl) - if origin is None or not issubclass(origin, Callable): # type: ignore - continue - - # check if signature is Callable[[...], Any] - args = typing.get_args(decl) - if len(args) != 2: - continue - params_type, return_type = args - if not isinstance(params_type, list): - continue - - # check if signature is Callable[[...], None] - if not issubclass(return_type, type(None)): - continue - - # check if signature is Callable[[EventType], None] - if len(params_type) != 1: - continue - - param_type = params_type[0] - results[param_type.__name__] = param_type - - return results - - -def _is_multipart_param(param_type: type) -> bool: - """ - Check if a parameter type indicates multipart form data. - - Returns True if the type is: - - UploadFile - - Annotated[UploadFile, File()] - - Annotated[str, Form()] - - Annotated[Any, File()] - - Annotated[Any, Form()] - """ - if param_type is UploadFile: - return True - - # Check for Annotated types - origin = get_origin(param_type) - if origin is None: - return False - - if origin is Annotated: - args = get_args(param_type) - if len(args) < 2: - return False - - # Check the annotations for File() or Form() - for annotation in args[1:]: - if isinstance(annotation, (File, Form)): - return True - return False - - -def _is_extra_body_param(param_type: type) -> tuple[bool, str | None]: - """ - Check if parameter is marked as coming from extra_body. - - Returns: - (is_extra_body, description): Tuple of boolean and optional description - """ - origin = get_origin(param_type) - if origin is Annotated: - args = get_args(param_type) - for annotation in args[1:]: - if isinstance(annotation, ExtraBodyField): - return True, annotation.description - # Also check by type name for cases where import matters - if type(annotation).__name__ == 'ExtraBodyField': - return True, getattr(annotation, 'description', None) - return False, None diff --git a/docs/openapi_generator/pyopenapi/options.py b/docs/openapi_generator/pyopenapi/options.py deleted file mode 100644 index 53855b5b6..000000000 --- a/docs/openapi_generator/pyopenapi/options.py +++ /dev/null @@ -1,78 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -import dataclasses -from dataclasses import dataclass -from http import HTTPStatus -from typing import Callable, ClassVar, Dict, List, Optional, Tuple, Union - -from .specification import ( - Info, - SecurityScheme, - SecuritySchemeAPI, - SecuritySchemeHTTP, - SecuritySchemeOpenIDConnect, - Server, -) - -HTTPStatusCode = Union[HTTPStatus, int, str] - - -@dataclass -class Options: - """ - :param server: Base URL for the API endpoint. - :param info: Meta-information for the endpoint specification. - :param version: OpenAPI specification version as a tuple of major, minor, revision. - :param default_security_scheme: Security scheme to apply to endpoints, unless overridden on a per-endpoint basis. - :param extra_types: Extra types in addition to those found in operation signatures. Use a dictionary to group related types. - :param use_examples: Whether to emit examples for operations. - :param success_responses: Associates operation response types with HTTP status codes. - :param error_responses: Associates error response types with HTTP status codes. - :param error_wrapper: True if errors are encapsulated in an error object wrapper. - :param property_description_fun: Custom transformation function to apply to class property documentation strings. - :param captions: User-defined captions for sections such as "Operations" or "Types", and (if applicable) groups of extra types. - :param include_standard_error_responses: Whether to include standard error responses (400, 429, 500, 503) in all operations. - """ - - server: Server - info: Info - version: Tuple[int, int, int] = (3, 1, 0) - default_security_scheme: Optional[SecurityScheme] = None - extra_types: Union[List[type], Dict[str, List[type]], None] = None - use_examples: bool = True - success_responses: Dict[type, HTTPStatusCode] = dataclasses.field( - default_factory=dict - ) - error_responses: Dict[type, HTTPStatusCode] = dataclasses.field( - default_factory=dict - ) - error_wrapper: bool = False - property_description_fun: Optional[Callable[[type, str, str], str]] = None - captions: Optional[Dict[str, str]] = None - include_standard_error_responses: bool = True - stability_filter: Optional[str] = None - - default_captions: ClassVar[Dict[str, str]] = { - "Operations": "Operations", - "Types": "Types", - "Events": "Events", - "AdditionalTypes": "Additional types", - } - - def map(self, id: str) -> str: - "Maps a language-neutral placeholder string to language-dependent text." - - if self.captions is not None: - caption = self.captions.get(id) - if caption is not None: - return caption - - caption = self.__class__.default_captions.get(id) - if caption is not None: - return caption - - raise KeyError(f"no caption found for ID: {id}") diff --git a/docs/openapi_generator/pyopenapi/specification.py b/docs/openapi_generator/pyopenapi/specification.py deleted file mode 100644 index bfa35f539..000000000 --- a/docs/openapi_generator/pyopenapi/specification.py +++ /dev/null @@ -1,269 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -import dataclasses -import enum -from dataclasses import dataclass -from typing import Any, ClassVar, Dict, List, Optional, Union - -from llama_stack_api import JsonType, Schema, StrictJsonType - -URL = str - - -@dataclass -class Ref: - ref_type: ClassVar[str] - id: str - - def to_json(self) -> StrictJsonType: - return {"$ref": f"#/components/{self.ref_type}/{self.id}"} - - -@dataclass -class SchemaRef(Ref): - ref_type: ClassVar[str] = "schemas" - - -SchemaOrRef = Union[Schema, SchemaRef] - - -@dataclass -class ResponseRef(Ref): - ref_type: ClassVar[str] = "responses" - - -@dataclass -class ParameterRef(Ref): - ref_type: ClassVar[str] = "parameters" - - -@dataclass -class ExampleRef(Ref): - ref_type: ClassVar[str] = "examples" - - -@dataclass -class Contact: - name: Optional[str] = None - url: Optional[URL] = None - email: Optional[str] = None - - -@dataclass -class License: - name: str - url: Optional[URL] = None - - -@dataclass -class Info: - title: str - version: str - description: Optional[str] = None - termsOfService: Optional[str] = None - contact: Optional[Contact] = None - license: Optional[License] = None - - -@dataclass -class MediaType: - schema: Optional[SchemaOrRef] = None - example: Optional[Any] = None - examples: Optional[Dict[str, Union["Example", ExampleRef]]] = None - - -@dataclass -class RequestBody: - content: Dict[str, MediaType | Dict[str, Any]] - description: Optional[str] = None - required: Optional[bool] = None - - -@dataclass -class Response: - description: str - content: Optional[Dict[str, MediaType]] = None - - -class ParameterLocation(enum.Enum): - Query = "query" - Header = "header" - Path = "path" - Cookie = "cookie" - - -@dataclass -class Parameter: - name: str - in_: ParameterLocation - description: Optional[str] = None - required: Optional[bool] = None - schema: Optional[SchemaOrRef] = None - example: Optional[Any] = None - - -@dataclass -class ExtraBodyParameter: - """Represents a parameter that arrives via extra_body in the request.""" - name: str - schema: SchemaOrRef - description: Optional[str] = None - required: Optional[bool] = None - - -@dataclass -class Operation: - responses: Dict[str, Union[Response, ResponseRef]] - tags: Optional[List[str]] = None - summary: Optional[str] = None - description: Optional[str] = None - operationId: Optional[str] = None - parameters: Optional[List[Parameter]] = None - requestBody: Optional[RequestBody] = None - callbacks: Optional[Dict[str, "Callback"]] = None - security: Optional[List["SecurityRequirement"]] = None - deprecated: Optional[bool] = None - extraBodyParameters: Optional[List[ExtraBodyParameter]] = None - - -@dataclass -class PathItem: - summary: Optional[str] = None - description: Optional[str] = None - get: Optional[Operation] = None - put: Optional[Operation] = None - post: Optional[Operation] = None - delete: Optional[Operation] = None - options: Optional[Operation] = None - head: Optional[Operation] = None - patch: Optional[Operation] = None - trace: Optional[Operation] = None - - def update(self, other: "PathItem") -> None: - "Merges another instance of this class into this object." - - for field in dataclasses.fields(self.__class__): - value = getattr(other, field.name) - if value is not None: - setattr(self, field.name, value) - - -# maps run-time expressions such as "$request.body#/url" to path items -Callback = Dict[str, PathItem] - - -@dataclass -class Example: - summary: Optional[str] = None - description: Optional[str] = None - value: Optional[Any] = None - externalValue: Optional[URL] = None - - -@dataclass -class Server: - url: URL - description: Optional[str] = None - - -class SecuritySchemeType(enum.Enum): - ApiKey = "apiKey" - HTTP = "http" - OAuth2 = "oauth2" - OpenIDConnect = "openIdConnect" - - -@dataclass -class SecurityScheme: - type: SecuritySchemeType - description: str - - -@dataclass(init=False) -class SecuritySchemeAPI(SecurityScheme): - name: str - in_: ParameterLocation - - def __init__(self, description: str, name: str, in_: ParameterLocation) -> None: - super().__init__(SecuritySchemeType.ApiKey, description) - self.name = name - self.in_ = in_ - - -@dataclass(init=False) -class SecuritySchemeHTTP(SecurityScheme): - scheme: str - bearerFormat: Optional[str] = None - - def __init__( - self, description: str, scheme: str, bearerFormat: Optional[str] = None - ) -> None: - super().__init__(SecuritySchemeType.HTTP, description) - self.scheme = scheme - self.bearerFormat = bearerFormat - - -@dataclass(init=False) -class SecuritySchemeOpenIDConnect(SecurityScheme): - openIdConnectUrl: str - - def __init__(self, description: str, openIdConnectUrl: str) -> None: - super().__init__(SecuritySchemeType.OpenIDConnect, description) - self.openIdConnectUrl = openIdConnectUrl - - -@dataclass -class Components: - schemas: Optional[Dict[str, Schema]] = None - responses: Optional[Dict[str, Response]] = None - parameters: Optional[Dict[str, Parameter]] = None - examples: Optional[Dict[str, Example]] = None - requestBodies: Optional[Dict[str, RequestBody]] = None - securitySchemes: Optional[Dict[str, SecurityScheme]] = None - callbacks: Optional[Dict[str, Callback]] = None - - -SecurityScope = str -SecurityRequirement = Dict[str, List[SecurityScope]] - - -@dataclass -class Tag: - name: str - description: Optional[str] = None - displayName: Optional[str] = None - - -@dataclass -class TagGroup: - """ - A ReDoc extension to provide information about groups of tags. - - Exposed via the vendor-specific property "x-tagGroups" of the top-level object. - """ - - name: str - tags: List[str] - - -@dataclass -class Document: - """ - This class is a Python dataclass adaptation of the OpenAPI Specification. - - For details, see - """ - - openapi: str - info: Info - servers: List[Server] - paths: Dict[str, PathItem] - jsonSchemaDialect: Optional[str] = None - components: Optional[Components] = None - security: Optional[List[SecurityRequirement]] = None - tags: Optional[List[Tag]] = None - tagGroups: Optional[List[TagGroup]] = None diff --git a/docs/openapi_generator/pyopenapi/template.html b/docs/openapi_generator/pyopenapi/template.html deleted file mode 100644 index 5848f364e..000000000 --- a/docs/openapi_generator/pyopenapi/template.html +++ /dev/null @@ -1,41 +0,0 @@ - - - - - - - OpenAPI specification - - - - - - - - - - - - - diff --git a/docs/openapi_generator/pyopenapi/utility.py b/docs/openapi_generator/pyopenapi/utility.py deleted file mode 100644 index 762249eb8..000000000 --- a/docs/openapi_generator/pyopenapi/utility.py +++ /dev/null @@ -1,287 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -import json -import typing -import inspect -from pathlib import Path -from typing import Any, List, Optional, TextIO, Union, get_type_hints, get_origin, get_args - -from pydantic import BaseModel -from llama_stack_api import StrictJsonType, is_unwrapped_body_param, object_to_json -from llama_stack.core.resolver import api_protocol_map - -from .generator import Generator -from .options import Options -from .specification import Document - -THIS_DIR = Path(__file__).parent - - -class Specification: - document: Document - - def __init__(self, endpoint: type, options: Options): - generator = Generator(endpoint, options) - self.document = generator.generate() - - def get_json(self) -> StrictJsonType: - """ - Returns the OpenAPI specification as a Python data type (e.g. `dict` for an object, `list` for an array). - - The result can be serialized to a JSON string with `json.dump` or `json.dumps`. - """ - - json_doc = typing.cast(StrictJsonType, object_to_json(self.document)) - - if isinstance(json_doc, dict): - # rename vendor-specific properties - tag_groups = json_doc.pop("tagGroups", None) - if tag_groups: - json_doc["x-tagGroups"] = tag_groups - tags = json_doc.get("tags") - if tags and isinstance(tags, list): - for tag in tags: - if not isinstance(tag, dict): - continue - - display_name = tag.pop("displayName", None) - if display_name: - tag["x-displayName"] = display_name - - # Handle operations to rename extraBodyParameters -> x-llama-stack-extra-body-params - paths = json_doc.get("paths", {}) - for path_item in paths.values(): - if isinstance(path_item, dict): - for method in ["get", "post", "put", "delete", "patch"]: - operation = path_item.get(method) - if operation and isinstance(operation, dict): - extra_body_params = operation.pop("extraBodyParameters", None) - if extra_body_params: - operation["x-llama-stack-extra-body-params"] = extra_body_params - - return json_doc - - def get_json_string(self, pretty_print: bool = False) -> str: - """ - Returns the OpenAPI specification as a JSON string. - - :param pretty_print: Whether to use line indents to beautify the output. - """ - - json_doc = self.get_json() - if pretty_print: - return json.dumps( - json_doc, check_circular=False, ensure_ascii=False, indent=4 - ) - else: - return json.dumps( - json_doc, - check_circular=False, - ensure_ascii=False, - separators=(",", ":"), - ) - - def write_json(self, f: TextIO, pretty_print: bool = False) -> None: - """ - Writes the OpenAPI specification to a file as a JSON string. - - :param pretty_print: Whether to use line indents to beautify the output. - """ - - json_doc = self.get_json() - if pretty_print: - json.dump( - json_doc, - f, - check_circular=False, - ensure_ascii=False, - indent=4, - ) - else: - json.dump( - json_doc, - f, - check_circular=False, - ensure_ascii=False, - separators=(",", ":"), - ) - - def write_html(self, f: TextIO, pretty_print: bool = False) -> None: - """ - Creates a stand-alone HTML page for the OpenAPI specification with ReDoc. - - :param pretty_print: Whether to use line indents to beautify the JSON string in the HTML file. - """ - - path = THIS_DIR / "template.html" - with path.open(encoding="utf-8", errors="strict") as html_template_file: - html_template = html_template_file.read() - - html = html_template.replace( - "{ /* OPENAPI_SPECIFICATION */ }", - self.get_json_string(pretty_print=pretty_print), - ) - - f.write(html) - -def is_optional_type(type_: Any) -> bool: - """Check if a type is Optional.""" - origin = get_origin(type_) - args = get_args(type_) - return origin is Optional or (origin is Union and type(None) in args) - - -def _validate_api_method_return_type(method) -> str | None: - hints = get_type_hints(method) - - if 'return' not in hints: - return "has no return type annotation" - - return_type = hints['return'] - if is_optional_type(return_type): - return "returns Optional type where a return value is mandatory" - - -def _validate_api_method_doesnt_return_list(method) -> str | None: - hints = get_type_hints(method) - - if 'return' not in hints: - return "has no return type annotation" - - return_type = hints['return'] - if get_origin(return_type) is list: - return "returns a list where a PaginatedResponse or List*Response object is expected" - - -def _validate_api_delete_method_returns_none(method) -> str | None: - hints = get_type_hints(method) - - if 'return' not in hints: - return "has no return type annotation" - - return_type = hints['return'] - - # Allow OpenAI endpoints to return response objects since they follow OpenAI specification - method_name = getattr(method, '__name__', '') - if method_name.__contains__('openai_'): - return None - - if return_type is not None and return_type is not type(None): - return "does not return None where None is mandatory" - - -def _validate_list_parameters_contain_data(method) -> str | None: - hints = get_type_hints(method) - - if 'return' not in hints: - return "has no return type annotation" - - return_type = hints['return'] - if not inspect.isclass(return_type): - return - - if not return_type.__name__.startswith('List'): - return - - if 'data' not in return_type.model_fields: - return "does not have a mandatory data attribute containing the list of objects" - - -def _validate_has_ellipsis(method) -> str | None: - source = inspect.getsource(method) - if "..." not in source and not "NotImplementedError" in source: - return "does not contain ellipsis (...) in its implementation" - -def _validate_has_return_in_docstring(method) -> str | None: - source = inspect.getsource(method) - return_type = method.__annotations__.get('return') - if return_type is not None and return_type != type(None) and ":returns:" not in source: - return "does not have a ':returns:' in its docstring" - -def _validate_has_params_in_docstring(method) -> str | None: - source = inspect.getsource(method) - sig = inspect.signature(method) - - params_list = [p for p in sig.parameters.values() if p.name != "self"] - if len(params_list) == 1: - param = params_list[0] - param_type = param.annotation - if is_unwrapped_body_param(param_type): - return - - # Only check if the method has more than one parameter - if len(sig.parameters) > 1 and ":param" not in source: - return "does not have a ':param' in its docstring" - -def _validate_has_no_return_none_in_docstring(method) -> str | None: - source = inspect.getsource(method) - return_type = method.__annotations__.get('return') - if return_type is None and ":returns: None" in source: - return "has a ':returns: None' in its docstring which is redundant for None-returning functions" - -def _validate_docstring_lines_end_with_dot(method) -> str | None: - docstring = inspect.getdoc(method) - if docstring is None: - return None - - lines = docstring.split('\n') - for line in lines: - line = line.strip() - if line and not any(line.endswith(char) for char in '.:{}[]()",'): - return f"docstring line '{line}' does not end with a valid character: . : {{ }} [ ] ( ) , \"" - -_VALIDATORS = { - "GET": [ - _validate_api_method_return_type, - _validate_list_parameters_contain_data, - _validate_api_method_doesnt_return_list, - _validate_has_ellipsis, - _validate_has_return_in_docstring, - _validate_has_params_in_docstring, - _validate_docstring_lines_end_with_dot, - ], - "DELETE": [ - _validate_api_delete_method_returns_none, - _validate_has_ellipsis, - _validate_has_return_in_docstring, - _validate_has_params_in_docstring, - _validate_has_no_return_none_in_docstring - ], - "POST": [ - _validate_has_ellipsis, - _validate_has_return_in_docstring, - _validate_has_params_in_docstring, - _validate_has_no_return_none_in_docstring, - _validate_docstring_lines_end_with_dot, - ], -} - - -def _get_methods_by_type(protocol, method_type: str): - members = inspect.getmembers(protocol, predicate=inspect.isfunction) - return { - method_name: method - for method_name, method in members - if (webmethod := getattr(method, '__webmethod__', None)) - if webmethod and webmethod.method == method_type - } - - -def validate_api() -> List[str]: - """Validate the API protocols.""" - errors = [] - protocols = api_protocol_map() - - for target, validators in _VALIDATORS.items(): - for protocol_name, protocol in protocols.items(): - for validator in validators: - for method_name, method in _get_methods_by_type(protocol, target).items(): - err = validator(method) - if err: - errors.append(f"Method {protocol_name}.{method_name} {err}") - - return errors diff --git a/docs/openapi_generator/run_openapi_generator.sh b/docs/openapi_generator/run_openapi_generator.sh deleted file mode 100755 index 6cffd42b0..000000000 --- a/docs/openapi_generator/run_openapi_generator.sh +++ /dev/null @@ -1,34 +0,0 @@ -#!/bin/bash - -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -PYTHONPATH=${PYTHONPATH:-} -THIS_DIR="$(cd "$(dirname "$(readlink -f "${BASH_SOURCE[0]}")")" && pwd)" - -set -euo pipefail - -missing_packages=() - -check_package() { - if ! pip show "$1" &>/dev/null; then - missing_packages+=("$1") - fi -} - -if [ ${#missing_packages[@]} -ne 0 ]; then - echo "Error: The following package(s) are not installed:" - printf " - %s\n" "${missing_packages[@]}" - echo "Please install them using:" - echo "pip install ${missing_packages[*]}" - exit 1 -fi - -stack_dir=$(dirname $(dirname $THIS_DIR)) -PYTHONPATH=$PYTHONPATH:$stack_dir \ - python -m docs.openapi_generator.generate $(dirname $THIS_DIR)/static - -cp $stack_dir/docs/static/stainless-llama-stack-spec.yaml $stack_dir/client-sdks/stainless/openapi.yml diff --git a/docs/static/deprecated-llama-stack-spec.yaml b/docs/static/deprecated-llama-stack-spec.yaml index dea2e5bbe..7692157b2 100644 --- a/docs/static/deprecated-llama-stack-spec.yaml +++ b/docs/static/deprecated-llama-stack-spec.yaml @@ -1,16 +1,15 @@ openapi: 3.1.0 info: - title: >- - Llama Stack Specification - Deprecated APIs - version: v1 - description: >- + title: Llama Stack Specification - Deprecated APIs + description: |- This is the specification of the Llama Stack that provides - a set of endpoints and their corresponding interfaces that are - tailored to - best leverage Llama Models. + a set of endpoints and their corresponding interfaces that are + tailored to + best leverage Llama Models. - **⚠️ DEPRECATED**: Legacy APIs that may be removed in future versions. Use for - migration reference only. + **⚠️ DEPRECATED**: Legacy APIs that may be removed in future versions. Use for + migration reference only. + version: v1 servers: - url: http://any-hosted-llama-stack.com paths: @@ -363,31 +362,5467 @@ jsonSchemaDialect: >- https://json-schema.org/draft/2020-12/schema components: schemas: - Error: + AggregationFunctionType: + type: string + enum: + - average + - weighted_average + - median + - categorical_count + - accuracy + title: AggregationFunctionType + description: Types of aggregation functions for scoring results. + AllowedToolsFilter: + properties: + tool_names: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: Tool Names type: object + title: AllowedToolsFilter + description: Filter configuration for restricting which MCP tools can be used. + ArrayType: + properties: + type: + type: string + const: array + title: Type + default: array + type: object + title: ArrayType + description: Parameter type for array values. + BasicScoringFnParams: + properties: + type: + type: string + const: basic + title: Type + default: basic + aggregation_functions: + items: + $ref: '#/components/schemas/AggregationFunctionType' + type: array + title: Aggregation Functions + description: Aggregation functions to apply to the scores of each row + type: object + title: BasicScoringFnParams + description: Parameters for basic scoring function configuration. + Batch: + properties: + id: + type: string + title: Id + completion_window: + type: string + title: Completion Window + created_at: + type: integer + title: Created At + endpoint: + type: string + title: Endpoint + input_file_id: + type: string + title: Input File Id + object: + type: string + const: batch + title: Object + status: + type: string + enum: + - validating + - failed + - in_progress + - finalizing + - completed + - expired + - cancelling + - cancelled + title: Status + cancelled_at: + anyOf: + - type: integer + - type: 'null' + title: Cancelled At + cancelling_at: + anyOf: + - type: integer + - type: 'null' + title: Cancelling At + completed_at: + anyOf: + - type: integer + - type: 'null' + title: Completed At + error_file_id: + anyOf: + - type: string + - type: 'null' + title: Error File Id + errors: + anyOf: + - $ref: '#/components/schemas/Errors' + - type: 'null' + expired_at: + anyOf: + - type: integer + - type: 'null' + title: Expired At + expires_at: + anyOf: + - type: integer + - type: 'null' + title: Expires At + failed_at: + anyOf: + - type: integer + - type: 'null' + title: Failed At + finalizing_at: + anyOf: + - type: integer + - type: 'null' + title: Finalizing At + in_progress_at: + anyOf: + - type: integer + - type: 'null' + title: In Progress At + metadata: + anyOf: + - additionalProperties: + type: string + type: object + - type: 'null' + title: Metadata + model: + anyOf: + - type: string + - type: 'null' + title: Model + output_file_id: + anyOf: + - type: string + - type: 'null' + title: Output File Id + request_counts: + anyOf: + - $ref: '#/components/schemas/BatchRequestCounts' + - type: 'null' + usage: + anyOf: + - $ref: '#/components/schemas/BatchUsage' + - type: 'null' + additionalProperties: true + type: object + required: + - id + - completion_window + - created_at + - endpoint + - input_file_id + - object + - status + title: Batch + BatchError: + properties: + code: + anyOf: + - type: string + - type: 'null' + title: Code + line: + anyOf: + - type: integer + - type: 'null' + title: Line + message: + anyOf: + - type: string + - type: 'null' + title: Message + param: + anyOf: + - type: string + - type: 'null' + title: Param + additionalProperties: true + type: object + title: BatchError + BatchRequestCounts: + properties: + completed: + type: integer + title: Completed + failed: + type: integer + title: Failed + total: + type: integer + title: Total + additionalProperties: true + type: object + required: + - completed + - failed + - total + title: BatchRequestCounts + BatchUsage: + properties: + input_tokens: + type: integer + title: Input Tokens + input_tokens_details: + $ref: '#/components/schemas/InputTokensDetails' + output_tokens: + type: integer + title: Output Tokens + output_tokens_details: + $ref: '#/components/schemas/OutputTokensDetails' + total_tokens: + type: integer + title: Total Tokens + additionalProperties: true + type: object + required: + - input_tokens + - input_tokens_details + - output_tokens + - output_tokens_details + - total_tokens + title: BatchUsage + Benchmark: + properties: + identifier: + type: string + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: + type: string + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: benchmark + title: Type + default: benchmark + dataset_id: + type: string + title: Dataset Id + scoring_functions: + items: + type: string + type: array + title: Scoring Functions + metadata: + additionalProperties: true + type: object + title: Metadata + description: Metadata for this evaluation task + type: object + required: + - identifier + - provider_id + - dataset_id + - scoring_functions + title: Benchmark + description: A benchmark resource for evaluating model performance. + BenchmarkConfig: + properties: + eval_candidate: + $ref: '#/components/schemas/ModelCandidate' + scoring_params: + additionalProperties: + oneOf: + - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams' + - $ref: '#/components/schemas/RegexParserScoringFnParams' + - $ref: '#/components/schemas/BasicScoringFnParams' + discriminator: + propertyName: type + mapping: + basic: '#/components/schemas/BasicScoringFnParams' + llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams' + regex_parser: '#/components/schemas/RegexParserScoringFnParams' + type: object + title: Scoring Params + description: Map between scoring function id and parameters for each scoring function you want to run + num_examples: + anyOf: + - type: integer + - type: 'null' + title: Num Examples + description: Number of examples to evaluate (useful for testing), if not provided, all examples in the dataset will be evaluated + type: object + required: + - eval_candidate + title: BenchmarkConfig + description: A benchmark configuration for evaluation. + Body_openai_upload_file_v1_files_post: + properties: + file: + type: string + format: binary + title: File + purpose: + $ref: '#/components/schemas/OpenAIFilePurpose' + expires_after: + anyOf: + - $ref: '#/components/schemas/ExpiresAfter' + - type: 'null' + type: object + required: + - file + - purpose + title: Body_openai_upload_file_v1_files_post + Body_register_benchmark_v1alpha_eval_benchmarks_post: + properties: + scoring_functions: + items: + type: string + type: array + title: Scoring Functions + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + type: object + required: + - scoring_functions + title: Body_register_benchmark_v1alpha_eval_benchmarks_post + Body_register_scoring_function_v1_scoring_functions_post: + properties: + return_type: + anyOf: + - $ref: '#/components/schemas/StringType' + - $ref: '#/components/schemas/NumberType' + - $ref: '#/components/schemas/BooleanType' + - $ref: '#/components/schemas/ArrayType' + - $ref: '#/components/schemas/ObjectType' + - $ref: '#/components/schemas/JsonType' + - $ref: '#/components/schemas/UnionType' + - $ref: '#/components/schemas/ChatCompletionInputType' + - $ref: '#/components/schemas/CompletionInputType' + title: Return Type + params: + anyOf: + - oneOf: + - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams' + - $ref: '#/components/schemas/RegexParserScoringFnParams' + - $ref: '#/components/schemas/BasicScoringFnParams' + discriminator: + propertyName: type + mapping: + basic: '#/components/schemas/BasicScoringFnParams' + llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams' + regex_parser: '#/components/schemas/RegexParserScoringFnParams' + - type: 'null' + title: Params + type: object + required: + - return_type + title: Body_register_scoring_function_v1_scoring_functions_post + Body_register_tool_group_v1_toolgroups_post: + properties: + mcp_endpoint: + anyOf: + - $ref: '#/components/schemas/URL' + - type: 'null' + args: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Args + type: object + title: Body_register_tool_group_v1_toolgroups_post + BooleanType: + properties: + type: + type: string + const: boolean + title: Type + default: boolean + type: object + title: BooleanType + description: Parameter type for boolean values. + ChatCompletionInputType: + properties: + type: + type: string + const: chat_completion_input + title: Type + default: chat_completion_input + type: object + title: ChatCompletionInputType + description: Parameter type for chat completion input. + Chunk-Input: + properties: + content: + anyOf: + - type: string + - oneOf: + - $ref: '#/components/schemas/ImageContentItem-Input' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Input' + text: '#/components/schemas/TextContentItem' + - items: + oneOf: + - $ref: '#/components/schemas/ImageContentItem-Input' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Input' + text: '#/components/schemas/TextContentItem' + type: array + title: Content + chunk_id: + type: string + title: Chunk Id + metadata: + additionalProperties: true + type: object + title: Metadata + embedding: + anyOf: + - items: + type: number + type: array + - type: 'null' + title: Embedding + chunk_metadata: + anyOf: + - $ref: '#/components/schemas/ChunkMetadata' + - type: 'null' + type: object + required: + - content + - chunk_id + title: Chunk + description: A chunk of content that can be inserted into a vector database. + Chunk-Output: + properties: + content: + anyOf: + - type: string + - oneOf: + - $ref: '#/components/schemas/ImageContentItem-Output' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Output' + text: '#/components/schemas/TextContentItem' + - items: + oneOf: + - $ref: '#/components/schemas/ImageContentItem-Output' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Output' + text: '#/components/schemas/TextContentItem' + type: array + title: Content + chunk_id: + type: string + title: Chunk Id + metadata: + additionalProperties: true + type: object + title: Metadata + embedding: + anyOf: + - items: + type: number + type: array + - type: 'null' + title: Embedding + chunk_metadata: + anyOf: + - $ref: '#/components/schemas/ChunkMetadata' + - type: 'null' + type: object + required: + - content + - chunk_id + title: Chunk + description: A chunk of content that can be inserted into a vector database. + ChunkMetadata: + properties: + chunk_id: + anyOf: + - type: string + - type: 'null' + title: Chunk Id + document_id: + anyOf: + - type: string + - type: 'null' + title: Document Id + source: + anyOf: + - type: string + - type: 'null' + title: Source + created_timestamp: + anyOf: + - type: integer + - type: 'null' + title: Created Timestamp + updated_timestamp: + anyOf: + - type: integer + - type: 'null' + title: Updated Timestamp + chunk_window: + anyOf: + - type: string + - type: 'null' + title: Chunk Window + chunk_tokenizer: + anyOf: + - type: string + - type: 'null' + title: Chunk Tokenizer + chunk_embedding_model: + anyOf: + - type: string + - type: 'null' + title: Chunk Embedding Model + chunk_embedding_dimension: + anyOf: + - type: integer + - type: 'null' + title: Chunk Embedding Dimension + content_token_count: + anyOf: + - type: integer + - type: 'null' + title: Content Token Count + metadata_token_count: + anyOf: + - type: integer + - type: 'null' + title: Metadata Token Count + type: object + title: ChunkMetadata + description: |- + `ChunkMetadata` is backend metadata for a `Chunk` that is used to store additional information about the chunk that + will not be used in the context during inference, but is required for backend functionality. The `ChunkMetadata` + is set during chunk creation in `MemoryToolRuntimeImpl().insert()`and is not expected to change after. + Use `Chunk.metadata` for metadata that will be used in the context during inference. + CompletionInputType: + properties: + type: + type: string + const: completion_input + title: Type + default: completion_input + type: object + title: CompletionInputType + description: Parameter type for completion input. + Conversation: + properties: + id: + type: string + title: Id + description: The unique ID of the conversation. + object: + type: string + const: conversation + title: Object + description: The object type, which is always conversation. + default: conversation + created_at: + type: integer + title: Created At + description: The time at which the conversation was created, measured in seconds since the Unix epoch. + metadata: + anyOf: + - additionalProperties: + type: string + type: object + - type: 'null' + title: Metadata + description: Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard. + items: + anyOf: + - items: + additionalProperties: true + type: object + type: array + - type: 'null' + title: Items + description: Initial items to include in the conversation context. You may add up to 20 items at a time. + type: object + required: + - id + - created_at + title: Conversation + description: OpenAI-compatible conversation object. + ConversationDeletedResource: + properties: + id: + type: string + title: Id + description: The deleted conversation identifier + object: + type: string + title: Object + description: Object type + default: conversation.deleted + deleted: + type: boolean + title: Deleted + description: Whether the object was deleted + default: true + type: object + required: + - id + title: ConversationDeletedResource + description: Response for deleted conversation. + ConversationItemDeletedResource: + properties: + id: + type: string + title: Id + description: The deleted item identifier + object: + type: string + title: Object + description: Object type + default: conversation.item.deleted + deleted: + type: boolean + title: Deleted + description: Whether the object was deleted + default: true + type: object + required: + - id + title: ConversationItemDeletedResource + description: Response for deleted conversation item. + ConversationItemInclude: + type: string + enum: + - web_search_call.action.sources + - code_interpreter_call.outputs + - computer_call_output.output.image_url + - file_search_call.results + - message.input_image.image_url + - message.output_text.logprobs + - reasoning.encrypted_content + title: ConversationItemInclude + description: Specify additional output data to include in the model response. + ConversationItemList: + properties: + object: + type: string + title: Object + description: Object type + default: list + data: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage-Output' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + discriminator: + propertyName: type + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + function_call_output: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_approval_response: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage-Output' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + type: array + title: Data + description: List of conversation items + first_id: + anyOf: + - type: string + - type: 'null' + title: First Id + description: The ID of the first item in the list + last_id: + anyOf: + - type: string + - type: 'null' + title: Last Id + description: The ID of the last item in the list + has_more: + type: boolean + title: Has More + description: Whether there are more items available + default: false + type: object + required: + - data + title: ConversationItemList + description: List of conversation items with pagination. + DPOAlignmentConfig: + properties: + beta: + type: number + title: Beta + loss_type: + $ref: '#/components/schemas/DPOLossType' + default: sigmoid + type: object + required: + - beta + title: DPOAlignmentConfig + description: Configuration for Direct Preference Optimization (DPO) alignment. + DPOLossType: + type: string + enum: + - sigmoid + - hinge + - ipo + - kto_pair + title: DPOLossType + DataConfig: + properties: + dataset_id: + type: string + title: Dataset Id + batch_size: + type: integer + title: Batch Size + shuffle: + type: boolean + title: Shuffle + data_format: + $ref: '#/components/schemas/DatasetFormat' + validation_dataset_id: + anyOf: + - type: string + - type: 'null' + title: Validation Dataset Id + packed: + anyOf: + - type: boolean + - type: 'null' + title: Packed + default: false + train_on_input: + anyOf: + - type: boolean + - type: 'null' + title: Train On Input + default: false + type: object + required: + - dataset_id + - batch_size + - shuffle + - data_format + title: DataConfig + description: Configuration for training data and data loading. + Dataset: + properties: + identifier: + type: string + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: + type: string + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: dataset + title: Type + default: dataset + purpose: + $ref: '#/components/schemas/DatasetPurpose' + source: + oneOf: + - $ref: '#/components/schemas/URIDataSource' + - $ref: '#/components/schemas/RowsDataSource' + title: Source + discriminator: + propertyName: type + mapping: + rows: '#/components/schemas/RowsDataSource' + uri: '#/components/schemas/URIDataSource' + metadata: + additionalProperties: true + type: object + title: Metadata + description: Any additional metadata for this dataset + type: object + required: + - identifier + - provider_id + - purpose + - source + title: Dataset + description: Dataset resource for storing and accessing training or evaluation data. + DatasetFormat: + type: string + enum: + - instruct + - dialog + title: DatasetFormat + description: Format of the training dataset. + DatasetPurpose: + type: string + enum: + - post-training/messages + - eval/question-answer + - eval/messages-answer + title: DatasetPurpose + description: Purpose of the dataset. Each purpose has a required input data schema. + EfficiencyConfig: + properties: + enable_activation_checkpointing: + anyOf: + - type: boolean + - type: 'null' + title: Enable Activation Checkpointing + default: false + enable_activation_offloading: + anyOf: + - type: boolean + - type: 'null' + title: Enable Activation Offloading + default: false + memory_efficient_fsdp_wrap: + anyOf: + - type: boolean + - type: 'null' + title: Memory Efficient Fsdp Wrap + default: false + fsdp_cpu_offload: + anyOf: + - type: boolean + - type: 'null' + title: Fsdp Cpu Offload + default: false + type: object + title: EfficiencyConfig + description: Configuration for memory and compute efficiency optimizations. + Errors: + properties: + data: + anyOf: + - items: + $ref: '#/components/schemas/BatchError' + type: array + - type: 'null' + title: Data + object: + anyOf: + - type: string + - type: 'null' + title: Object + additionalProperties: true + type: object + title: Errors + EvaluateResponse: + properties: + generations: + items: + additionalProperties: true + type: object + type: array + title: Generations + scores: + additionalProperties: + $ref: '#/components/schemas/ScoringResult' + type: object + title: Scores + type: object + required: + - generations + - scores + title: EvaluateResponse + description: The response from an evaluation. + ExpiresAfter: + properties: + anchor: + type: string + const: created_at + title: Anchor + seconds: + type: integer + maximum: 2592000.0 + minimum: 3600.0 + title: Seconds + type: object + required: + - anchor + - seconds + title: ExpiresAfter + description: |- + Control expiration of uploaded files. + + Params: + - anchor, must be "created_at" + - seconds, must be int between 3600 and 2592000 (1 hour to 30 days) + GreedySamplingStrategy: + properties: + type: + type: string + const: greedy + title: Type + default: greedy + type: object + title: GreedySamplingStrategy + description: Greedy sampling strategy that selects the highest probability token at each step. + HealthInfo: properties: status: + $ref: '#/components/schemas/HealthStatus' + type: object + required: + - status + title: HealthInfo + description: Health status information for the service. + HealthStatus: + type: string + enum: + - OK + - Error + - Not Implemented + title: HealthStatus + ImageContentItem-Input: + properties: + type: + type: string + const: image + title: Type + default: image + image: + $ref: '#/components/schemas/_URLOrData' + type: object + required: + - image + title: ImageContentItem + description: A image content item + ImageContentItem-Output: + properties: + type: + type: string + const: image + title: Type + default: image + image: + $ref: '#/components/schemas/_URLOrData' + type: object + required: + - image + title: ImageContentItem + description: A image content item + InputTokensDetails: + properties: + cached_tokens: type: integer - description: HTTP status code + title: Cached Tokens + additionalProperties: true + type: object + required: + - cached_tokens + title: InputTokensDetails + Job: + properties: + job_id: + type: string + title: Job Id + status: + $ref: '#/components/schemas/JobStatus' + type: object + required: + - job_id + - status + title: Job + description: A job execution instance with status tracking. + JobStatus: + type: string + enum: + - completed + - in_progress + - failed + - scheduled + - cancelled + title: JobStatus + description: Status of a job execution. + JsonType: + properties: + type: + type: string + const: json + title: Type + default: json + type: object + title: JsonType + description: Parameter type for JSON values. + LLMAsJudgeScoringFnParams: + properties: + type: + type: string + const: llm_as_judge + title: Type + default: llm_as_judge + judge_model: + type: string + title: Judge Model + prompt_template: + anyOf: + - type: string + - type: 'null' + title: Prompt Template + judge_score_regexes: + items: + type: string + type: array + title: Judge Score Regexes + description: Regexes to extract the answer from generated response + aggregation_functions: + items: + $ref: '#/components/schemas/AggregationFunctionType' + type: array + title: Aggregation Functions + description: Aggregation functions to apply to the scores of each row + type: object + required: + - judge_model + title: LLMAsJudgeScoringFnParams + description: Parameters for LLM-as-judge scoring function configuration. + ListBenchmarksResponse: + properties: + data: + items: + $ref: '#/components/schemas/Benchmark' + type: array + title: Data + type: object + required: + - data + title: ListBenchmarksResponse + ListDatasetsResponse: + properties: + data: + items: + $ref: '#/components/schemas/Dataset' + type: array + title: Data + type: object + required: + - data + title: ListDatasetsResponse + description: Response from listing datasets. + ListPostTrainingJobsResponse: + properties: + data: + items: + $ref: '#/components/schemas/PostTrainingJob' + type: array + title: Data + type: object + required: + - data + title: ListPostTrainingJobsResponse + ListPromptsResponse: + properties: + data: + items: + $ref: '#/components/schemas/Prompt' + type: array + title: Data + type: object + required: + - data + title: ListPromptsResponse + description: Response model to list prompts. + ListProvidersResponse: + properties: + data: + items: + $ref: '#/components/schemas/ProviderInfo' + type: array + title: Data + type: object + required: + - data + title: ListProvidersResponse + description: Response containing a list of all available providers. + ListScoringFunctionsResponse: + properties: + data: + items: + $ref: '#/components/schemas/ScoringFn' + type: array + title: Data + type: object + required: + - data + title: ListScoringFunctionsResponse + ListShieldsResponse: + properties: + data: + items: + $ref: '#/components/schemas/Shield' + type: array + title: Data + type: object + required: + - data + title: ListShieldsResponse + ListToolGroupsResponse: + properties: + data: + items: + $ref: '#/components/schemas/ToolGroup' + type: array + title: Data + type: object + required: + - data + title: ListToolGroupsResponse + description: Response containing a list of tool groups. + LoraFinetuningConfig: + properties: + type: + type: string + const: LoRA + title: Type + default: LoRA + lora_attn_modules: + items: + type: string + type: array + title: Lora Attn Modules + apply_lora_to_mlp: + type: boolean + title: Apply Lora To Mlp + apply_lora_to_output: + type: boolean + title: Apply Lora To Output + rank: + type: integer + title: Rank + alpha: + type: integer + title: Alpha + use_dora: + anyOf: + - type: boolean + - type: 'null' + title: Use Dora + default: false + quantize_base: + anyOf: + - type: boolean + - type: 'null' + title: Quantize Base + default: false + type: object + required: + - lora_attn_modules + - apply_lora_to_mlp + - apply_lora_to_output + - rank + - alpha + title: LoraFinetuningConfig + description: Configuration for Low-Rank Adaptation (LoRA) fine-tuning. + MCPListToolsTool: + properties: + input_schema: + additionalProperties: true + type: object + title: Input Schema + name: + type: string + title: Name + description: + anyOf: + - type: string + - type: 'null' + title: Description + type: object + required: + - input_schema + - name + title: MCPListToolsTool + description: Tool definition returned by MCP list tools operation. + Model: + properties: + identifier: + type: string + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: + type: string + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: model + title: Type + default: model + metadata: + additionalProperties: true + type: object + title: Metadata + description: Any additional metadata for this model + model_type: + $ref: '#/components/schemas/ModelType' + default: llm + type: object + required: + - identifier + - provider_id + title: Model + description: A model resource representing an AI model registered in Llama Stack. + ModelCandidate: + properties: + type: + type: string + const: model + title: Type + default: model + model: + type: string + title: Model + sampling_params: + $ref: '#/components/schemas/SamplingParams' + system_message: + anyOf: + - $ref: '#/components/schemas/SystemMessage' + - type: 'null' + type: object + required: + - model + - sampling_params + title: ModelCandidate + description: A model candidate for evaluation. + ModelType: + type: string + enum: + - llm + - embedding + - rerank + title: ModelType + description: Enumeration of supported model types in Llama Stack. + ModerationObject: + properties: + id: + type: string + title: Id + model: + type: string + title: Model + results: + items: + $ref: '#/components/schemas/ModerationObjectResults' + type: array + title: Results + type: object + required: + - id + - model + - results + title: ModerationObject + description: A moderation object. + ModerationObjectResults: + properties: + flagged: + type: boolean + title: Flagged + categories: + anyOf: + - additionalProperties: + type: boolean + type: object + - type: 'null' + title: Categories + category_applied_input_types: + anyOf: + - additionalProperties: + items: + type: string + type: array + type: object + - type: 'null' + title: Category Applied Input Types + category_scores: + anyOf: + - additionalProperties: + type: number + type: object + - type: 'null' + title: Category Scores + user_message: + anyOf: + - type: string + - type: 'null' + title: User Message + metadata: + additionalProperties: true + type: object + title: Metadata + type: object + required: + - flagged + title: ModerationObjectResults + description: A moderation object. + NumberType: + properties: + type: + type: string + const: number + title: Type + default: number + type: object + title: NumberType + description: Parameter type for numeric values. + ObjectType: + properties: + type: + type: string + const: object + title: Type + default: object + type: object + title: ObjectType + description: Parameter type for object values. + OpenAIAssistantMessageParam-Input: + properties: + role: + type: string + const: assistant + title: Role + default: assistant + content: + anyOf: + - type: string + - items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + - type: 'null' + title: Content + name: + anyOf: + - type: string + - type: 'null' + title: Name + tool_calls: + anyOf: + - items: + $ref: '#/components/schemas/OpenAIChatCompletionToolCall' + type: array + - type: 'null' + title: Tool Calls + type: object + title: OpenAIAssistantMessageParam + description: A message containing the model's (assistant) response in an OpenAI-compatible chat completion request. + OpenAIAssistantMessageParam-Output: + properties: + role: + type: string + const: assistant + title: Role + default: assistant + content: + anyOf: + - type: string + - items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + - type: 'null' + title: Content + name: + anyOf: + - type: string + - type: 'null' + title: Name + tool_calls: + anyOf: + - items: + $ref: '#/components/schemas/OpenAIChatCompletionToolCall' + type: array + - type: 'null' + title: Tool Calls + type: object + title: OpenAIAssistantMessageParam + description: A message containing the model's (assistant) response in an OpenAI-compatible chat completion request. + OpenAIChatCompletion: + properties: + id: + type: string + title: Id + choices: + items: + $ref: '#/components/schemas/OpenAIChoice-Output' + type: array + title: Choices + object: + type: string + const: chat.completion + title: Object + default: chat.completion + created: + type: integer + title: Created + model: + type: string + title: Model + usage: + anyOf: + - $ref: '#/components/schemas/OpenAIChatCompletionUsage' + - type: 'null' + type: object + required: + - id + - choices + - created + - model + title: OpenAIChatCompletion + description: Response from an OpenAI-compatible chat completion request. + OpenAIChatCompletionContentPartImageParam: + properties: + type: + type: string + const: image_url + title: Type + default: image_url + image_url: + $ref: '#/components/schemas/OpenAIImageURL' + type: object + required: + - image_url + title: OpenAIChatCompletionContentPartImageParam + description: Image content part for OpenAI-compatible chat completion messages. + OpenAIChatCompletionContentPartTextParam: + properties: + type: + type: string + const: text + title: Type + default: text + text: + type: string + title: Text + type: object + required: + - text + title: OpenAIChatCompletionContentPartTextParam + description: Text content part for OpenAI-compatible chat completion messages. + OpenAIChatCompletionRequestWithExtraBody: + properties: + model: + type: string + title: Model + messages: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIUserMessageParam-Input' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam-Input' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + discriminator: + propertyName: role + mapping: + assistant: '#/components/schemas/OpenAIAssistantMessageParam-Input' + developer: '#/components/schemas/OpenAIDeveloperMessageParam' + system: '#/components/schemas/OpenAISystemMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + user: '#/components/schemas/OpenAIUserMessageParam-Input' + type: array + minItems: 1 + title: Messages + frequency_penalty: + anyOf: + - type: number + - type: 'null' + title: Frequency Penalty + function_call: + anyOf: + - type: string + - additionalProperties: true + type: object + - type: 'null' + title: Function Call + functions: + anyOf: + - items: + additionalProperties: true + type: object + type: array + - type: 'null' + title: Functions + logit_bias: + anyOf: + - additionalProperties: + type: number + type: object + - type: 'null' + title: Logit Bias + logprobs: + anyOf: + - type: boolean + - type: 'null' + title: Logprobs + max_completion_tokens: + anyOf: + - type: integer + - type: 'null' + title: Max Completion Tokens + max_tokens: + anyOf: + - type: integer + - type: 'null' + title: Max Tokens + n: + anyOf: + - type: integer + - type: 'null' + title: N + parallel_tool_calls: + anyOf: + - type: boolean + - type: 'null' + title: Parallel Tool Calls + presence_penalty: + anyOf: + - type: number + - type: 'null' + title: Presence Penalty + response_format: + anyOf: + - oneOf: + - $ref: '#/components/schemas/OpenAIResponseFormatText' + - $ref: '#/components/schemas/OpenAIResponseFormatJSONSchema' + - $ref: '#/components/schemas/OpenAIResponseFormatJSONObject' + discriminator: + propertyName: type + mapping: + json_object: '#/components/schemas/OpenAIResponseFormatJSONObject' + json_schema: '#/components/schemas/OpenAIResponseFormatJSONSchema' + text: '#/components/schemas/OpenAIResponseFormatText' + - type: 'null' + title: Response Format + seed: + anyOf: + - type: integer + - type: 'null' + title: Seed + stop: + anyOf: + - type: string + - items: + type: string + type: array + - type: 'null' + title: Stop + stream: + anyOf: + - type: boolean + - type: 'null' + title: Stream + stream_options: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Stream Options + temperature: + anyOf: + - type: number + - type: 'null' + title: Temperature + tool_choice: + anyOf: + - type: string + - additionalProperties: true + type: object + - type: 'null' + title: Tool Choice + tools: + anyOf: + - items: + additionalProperties: true + type: object + type: array + - type: 'null' + title: Tools + top_logprobs: + anyOf: + - type: integer + - type: 'null' + title: Top Logprobs + top_p: + anyOf: + - type: number + - type: 'null' + title: Top P + user: + anyOf: + - type: string + - type: 'null' + title: User + additionalProperties: true + type: object + required: + - model + - messages + title: OpenAIChatCompletionRequestWithExtraBody + description: Request parameters for OpenAI-compatible chat completion endpoint. + OpenAIChatCompletionToolCall: + properties: + index: + anyOf: + - type: integer + - type: 'null' + title: Index + id: + anyOf: + - type: string + - type: 'null' + title: Id + type: + type: string + const: function + title: Type + default: function + function: + anyOf: + - $ref: '#/components/schemas/OpenAIChatCompletionToolCallFunction' + - type: 'null' + type: object + title: OpenAIChatCompletionToolCall + description: Tool call specification for OpenAI-compatible chat completion responses. + OpenAIChatCompletionToolCallFunction: + properties: + name: + anyOf: + - type: string + - type: 'null' + title: Name + arguments: + anyOf: + - type: string + - type: 'null' + title: Arguments + type: object + title: OpenAIChatCompletionToolCallFunction + description: Function call details for OpenAI-compatible tool calls. + OpenAIChatCompletionUsage: + properties: + prompt_tokens: + type: integer + title: Prompt Tokens + completion_tokens: + type: integer + title: Completion Tokens + total_tokens: + type: integer + title: Total Tokens + prompt_tokens_details: + anyOf: + - $ref: '#/components/schemas/OpenAIChatCompletionUsagePromptTokensDetails' + - type: 'null' + completion_tokens_details: + anyOf: + - $ref: '#/components/schemas/OpenAIChatCompletionUsageCompletionTokensDetails' + - type: 'null' + type: object + required: + - prompt_tokens + - completion_tokens + - total_tokens + title: OpenAIChatCompletionUsage + description: Usage information for OpenAI chat completion. + OpenAIChatCompletionUsageCompletionTokensDetails: + properties: + reasoning_tokens: + anyOf: + - type: integer + - type: 'null' + title: Reasoning Tokens + type: object + title: OpenAIChatCompletionUsageCompletionTokensDetails + description: Token details for output tokens in OpenAI chat completion usage. + OpenAIChatCompletionUsagePromptTokensDetails: + properties: + cached_tokens: + anyOf: + - type: integer + - type: 'null' + title: Cached Tokens + type: object + title: OpenAIChatCompletionUsagePromptTokensDetails + description: Token details for prompt tokens in OpenAI chat completion usage. + OpenAIChoice-Input: + properties: + message: + oneOf: + - $ref: '#/components/schemas/OpenAIUserMessageParam-Input' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam-Input' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + title: Message + discriminator: + propertyName: role + mapping: + assistant: '#/components/schemas/OpenAIAssistantMessageParam-Input' + developer: '#/components/schemas/OpenAIDeveloperMessageParam' + system: '#/components/schemas/OpenAISystemMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + user: '#/components/schemas/OpenAIUserMessageParam-Input' + finish_reason: + type: string + title: Finish Reason + index: + type: integer + title: Index + logprobs: + anyOf: + - $ref: '#/components/schemas/OpenAIChoiceLogprobs-Input' + - type: 'null' + type: object + required: + - message + - finish_reason + - index + title: OpenAIChoice + description: A choice from an OpenAI-compatible chat completion response. + OpenAIChoice-Output: + properties: + message: + oneOf: + - $ref: '#/components/schemas/OpenAIUserMessageParam-Output' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam-Output' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + title: Message + discriminator: + propertyName: role + mapping: + assistant: '#/components/schemas/OpenAIAssistantMessageParam-Output' + developer: '#/components/schemas/OpenAIDeveloperMessageParam' + system: '#/components/schemas/OpenAISystemMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + user: '#/components/schemas/OpenAIUserMessageParam-Output' + finish_reason: + type: string + title: Finish Reason + index: + type: integer + title: Index + logprobs: + anyOf: + - $ref: '#/components/schemas/OpenAIChoiceLogprobs-Output' + - type: 'null' + type: object + required: + - message + - finish_reason + - index + title: OpenAIChoice + description: A choice from an OpenAI-compatible chat completion response. + OpenAIChoiceLogprobs-Input: + properties: + content: + anyOf: + - items: + $ref: '#/components/schemas/OpenAITokenLogProb' + type: array + - type: 'null' + title: Content + refusal: + anyOf: + - items: + $ref: '#/components/schemas/OpenAITokenLogProb' + type: array + - type: 'null' + title: Refusal + type: object + title: OpenAIChoiceLogprobs + description: The log probabilities for the tokens in the message from an OpenAI-compatible chat completion response. + OpenAIChoiceLogprobs-Output: + properties: + content: + anyOf: + - items: + $ref: '#/components/schemas/OpenAITokenLogProb' + type: array + - type: 'null' + title: Content + refusal: + anyOf: + - items: + $ref: '#/components/schemas/OpenAITokenLogProb' + type: array + - type: 'null' + title: Refusal + type: object + title: OpenAIChoiceLogprobs + description: The log probabilities for the tokens in the message from an OpenAI-compatible chat completion response. + OpenAICompletion: + properties: + id: + type: string + title: Id + choices: + items: + $ref: '#/components/schemas/OpenAICompletionChoice-Output' + type: array + title: Choices + created: + type: integer + title: Created + model: + type: string + title: Model + object: + type: string + const: text_completion + title: Object + default: text_completion + type: object + required: + - id + - choices + - created + - model + title: OpenAICompletion + description: |- + Response from an OpenAI-compatible completion request. + + :id: The ID of the completion + :choices: List of choices + :created: The Unix timestamp in seconds when the completion was created + :model: The model that was used to generate the completion + :object: The object type, which will be "text_completion" + OpenAICompletionChoice-Input: + properties: + finish_reason: + type: string + title: Finish Reason + text: + type: string + title: Text + index: + type: integer + title: Index + logprobs: + anyOf: + - $ref: '#/components/schemas/OpenAIChoiceLogprobs-Input' + - type: 'null' + type: object + required: + - finish_reason + - text + - index + title: OpenAICompletionChoice + description: |- + A choice from an OpenAI-compatible completion response. + + :finish_reason: The reason the model stopped generating + :text: The text of the choice + :index: The index of the choice + :logprobs: (Optional) The log probabilities for the tokens in the choice + OpenAICompletionChoice-Output: + properties: + finish_reason: + type: string + title: Finish Reason + text: + type: string + title: Text + index: + type: integer + title: Index + logprobs: + anyOf: + - $ref: '#/components/schemas/OpenAIChoiceLogprobs-Output' + - type: 'null' + type: object + required: + - finish_reason + - text + - index + title: OpenAICompletionChoice + description: |- + A choice from an OpenAI-compatible completion response. + + :finish_reason: The reason the model stopped generating + :text: The text of the choice + :index: The index of the choice + :logprobs: (Optional) The log probabilities for the tokens in the choice + OpenAICompletionRequestWithExtraBody: + properties: + model: + type: string + title: Model + prompt: + anyOf: + - type: string + - items: + type: string + type: array + - items: + type: integer + type: array + - items: + items: + type: integer + type: array + type: array + title: Prompt + best_of: + anyOf: + - type: integer + - type: 'null' + title: Best Of + echo: + anyOf: + - type: boolean + - type: 'null' + title: Echo + frequency_penalty: + anyOf: + - type: number + - type: 'null' + title: Frequency Penalty + logit_bias: + anyOf: + - additionalProperties: + type: number + type: object + - type: 'null' + title: Logit Bias + logprobs: + anyOf: + - type: boolean + - type: 'null' + title: Logprobs + max_tokens: + anyOf: + - type: integer + - type: 'null' + title: Max Tokens + n: + anyOf: + - type: integer + - type: 'null' + title: N + presence_penalty: + anyOf: + - type: number + - type: 'null' + title: Presence Penalty + seed: + anyOf: + - type: integer + - type: 'null' + title: Seed + stop: + anyOf: + - type: string + - items: + type: string + type: array + - type: 'null' + title: Stop + stream: + anyOf: + - type: boolean + - type: 'null' + title: Stream + stream_options: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Stream Options + temperature: + anyOf: + - type: number + - type: 'null' + title: Temperature + top_p: + anyOf: + - type: number + - type: 'null' + title: Top P + user: + anyOf: + - type: string + - type: 'null' + title: User + suffix: + anyOf: + - type: string + - type: 'null' + title: Suffix + additionalProperties: true + type: object + required: + - model + - prompt + title: OpenAICompletionRequestWithExtraBody + description: Request parameters for OpenAI-compatible completion endpoint. + OpenAICompletionWithInputMessages: + properties: + id: + type: string + title: Id + choices: + items: + $ref: '#/components/schemas/OpenAIChoice-Output' + type: array + title: Choices + object: + type: string + const: chat.completion + title: Object + default: chat.completion + created: + type: integer + title: Created + model: + type: string + title: Model + usage: + anyOf: + - $ref: '#/components/schemas/OpenAIChatCompletionUsage' + - type: 'null' + input_messages: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIUserMessageParam-Output' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam-Output' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + discriminator: + propertyName: role + mapping: + assistant: '#/components/schemas/OpenAIAssistantMessageParam-Output' + developer: '#/components/schemas/OpenAIDeveloperMessageParam' + system: '#/components/schemas/OpenAISystemMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + user: '#/components/schemas/OpenAIUserMessageParam-Output' + type: array + title: Input Messages + type: object + required: + - id + - choices + - created + - model + - input_messages + title: OpenAICompletionWithInputMessages + OpenAICreateVectorStoreFileBatchRequestWithExtraBody: + properties: + file_ids: + items: + type: string + type: array + title: File Ids + attributes: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Attributes + chunking_strategy: + anyOf: + - oneOf: + - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' + - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + discriminator: + propertyName: type + mapping: + auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' + static: '#/components/schemas/VectorStoreChunkingStrategyStatic' + - type: 'null' + title: Chunking Strategy + additionalProperties: true + type: object + required: + - file_ids + title: OpenAICreateVectorStoreFileBatchRequestWithExtraBody + description: Request to create a vector store file batch with extra_body support. + OpenAICreateVectorStoreRequestWithExtraBody: + properties: + name: + anyOf: + - type: string + - type: 'null' + title: Name + file_ids: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: File Ids + expires_after: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Expires After + chunking_strategy: + anyOf: + - oneOf: + - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' + - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + discriminator: + propertyName: type + mapping: + auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' + static: '#/components/schemas/VectorStoreChunkingStrategyStatic' + - type: 'null' + title: Chunking Strategy + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + additionalProperties: true + type: object + title: OpenAICreateVectorStoreRequestWithExtraBody + description: Request to create a vector store with extra_body support. + OpenAIDeleteResponseObject: + properties: + id: + type: string + title: Id + object: + type: string + const: response + title: Object + default: response + deleted: + type: boolean + title: Deleted + default: true + type: object + required: + - id + title: OpenAIDeleteResponseObject + description: Response object confirming deletion of an OpenAI response. + OpenAIDeveloperMessageParam: + properties: + role: + type: string + const: developer + title: Role + default: developer + content: + anyOf: + - type: string + - items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + title: Content + name: + anyOf: + - type: string + - type: 'null' + title: Name + type: object + required: + - content + title: OpenAIDeveloperMessageParam + description: A message from the developer in an OpenAI-compatible chat completion request. + OpenAIEmbeddingData: + properties: + object: + type: string + const: embedding + title: Object + default: embedding + embedding: + anyOf: + - items: + type: number + type: array + - type: string + title: Embedding + index: + type: integer + title: Index + type: object + required: + - embedding + - index + title: OpenAIEmbeddingData + description: A single embedding data object from an OpenAI-compatible embeddings response. + OpenAIEmbeddingUsage: + properties: + prompt_tokens: + type: integer + title: Prompt Tokens + total_tokens: + type: integer + title: Total Tokens + type: object + required: + - prompt_tokens + - total_tokens + title: OpenAIEmbeddingUsage + description: Usage information for an OpenAI-compatible embeddings response. + OpenAIEmbeddingsRequestWithExtraBody: + properties: + model: + type: string + title: Model + input: + anyOf: + - type: string + - items: + type: string + type: array + title: Input + encoding_format: + anyOf: + - type: string + - type: 'null' + title: Encoding Format + default: float + dimensions: + anyOf: + - type: integer + - type: 'null' + title: Dimensions + user: + anyOf: + - type: string + - type: 'null' + title: User + additionalProperties: true + type: object + required: + - model + - input + title: OpenAIEmbeddingsRequestWithExtraBody + description: Request parameters for OpenAI-compatible embeddings endpoint. + OpenAIEmbeddingsResponse: + properties: + object: + type: string + const: list + title: Object + default: list + data: + items: + $ref: '#/components/schemas/OpenAIEmbeddingData' + type: array + title: Data + model: + type: string + title: Model + usage: + $ref: '#/components/schemas/OpenAIEmbeddingUsage' + type: object + required: + - data + - model + - usage + title: OpenAIEmbeddingsResponse + description: Response from an OpenAI-compatible embeddings request. + OpenAIFile: + properties: + type: + type: string + const: file + title: Type + default: file + file: + $ref: '#/components/schemas/OpenAIFileFile' + type: object + required: + - file + title: OpenAIFile + OpenAIFileDeleteResponse: + properties: + id: + type: string + title: Id + object: + type: string + const: file + title: Object + default: file + deleted: + type: boolean + title: Deleted + type: object + required: + - id + - deleted + title: OpenAIFileDeleteResponse + description: Response for deleting a file in OpenAI Files API. + OpenAIFileFile: + properties: + file_data: + anyOf: + - type: string + - type: 'null' + title: File Data + file_id: + anyOf: + - type: string + - type: 'null' + title: File Id + filename: + anyOf: + - type: string + - type: 'null' + title: Filename + type: object + title: OpenAIFileFile + OpenAIFileObject: + properties: + object: + type: string + const: file + title: Object + default: file + id: + type: string + title: Id + bytes: + type: integer + title: Bytes + created_at: + type: integer + title: Created At + expires_at: + type: integer + title: Expires At + filename: + type: string + title: Filename + purpose: + $ref: '#/components/schemas/OpenAIFilePurpose' + type: object + required: + - id + - bytes + - created_at + - expires_at + - filename + - purpose + title: OpenAIFileObject + description: OpenAI File object as defined in the OpenAI Files API. + OpenAIFilePurpose: + type: string + enum: + - assistants + - batch + title: OpenAIFilePurpose + description: Valid purpose values for OpenAI Files API. + OpenAIImageURL: + properties: + url: + type: string + title: Url + detail: + anyOf: + - type: string + - type: 'null' + title: Detail + type: object + required: + - url + title: OpenAIImageURL + description: Image URL specification for OpenAI-compatible chat completion messages. + OpenAIJSONSchema: + properties: + name: + type: string + title: Name + description: + anyOf: + - type: string + - type: 'null' + title: Description + strict: + anyOf: + - type: boolean + - type: 'null' + title: Strict + schema: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Schema + type: object + title: OpenAIJSONSchema + description: JSON schema specification for OpenAI-compatible structured response format. + OpenAIListModelsResponse: + properties: + data: + items: + $ref: '#/components/schemas/OpenAIModel' + type: array + title: Data + type: object + required: + - data + title: OpenAIListModelsResponse + OpenAIModel: + properties: + id: + type: string + title: Id + object: + type: string + const: model + title: Object + default: model + created: + type: integer + title: Created + owned_by: + type: string + title: Owned By + custom_metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Custom Metadata + type: object + required: + - id + - created + - owned_by + title: OpenAIModel + description: |- + A model from OpenAI. + + :id: The ID of the model + :object: The object type, which will be "model" + :created: The Unix timestamp in seconds when the model was created + :owned_by: The owner of the model + :custom_metadata: Llama Stack-specific metadata including model_type, provider info, and additional metadata + OpenAIResponseAnnotationCitation: + properties: + type: + type: string + const: url_citation + title: Type + default: url_citation + end_index: + type: integer + title: End Index + start_index: + type: integer + title: Start Index title: type: string - description: >- - Error title, a short summary of the error which is invariant for an error - type - detail: + title: Title + url: type: string - description: >- - Error detail, a longer human-readable description of the error - instance: - type: string - description: >- - (Optional) A URL which can be used to retrieve more information about - the specific occurrence of the error - additionalProperties: false + title: Url + type: object required: - - status - - title - - detail + - end_index + - start_index + - title + - url + title: OpenAIResponseAnnotationCitation + description: URL citation annotation for referencing external web resources. + OpenAIResponseAnnotationContainerFileCitation: + properties: + type: + type: string + const: container_file_citation + title: Type + default: container_file_citation + container_id: + type: string + title: Container Id + end_index: + type: integer + title: End Index + file_id: + type: string + title: File Id + filename: + type: string + title: Filename + start_index: + type: integer + title: Start Index + type: object + required: + - container_id + - end_index + - file_id + - filename + - start_index + title: OpenAIResponseAnnotationContainerFileCitation + OpenAIResponseAnnotationFileCitation: + properties: + type: + type: string + const: file_citation + title: Type + default: file_citation + file_id: + type: string + title: File Id + filename: + type: string + title: Filename + index: + type: integer + title: Index + type: object + required: + - file_id + - filename + - index + title: OpenAIResponseAnnotationFileCitation + description: File citation annotation for referencing specific files in response content. + OpenAIResponseAnnotationFilePath: + properties: + type: + type: string + const: file_path + title: Type + default: file_path + file_id: + type: string + title: File Id + index: + type: integer + title: Index + type: object + required: + - file_id + - index + title: OpenAIResponseAnnotationFilePath + OpenAIResponseContentPartRefusal: + properties: + type: + type: string + const: refusal + title: Type + default: refusal + refusal: + type: string + title: Refusal + type: object + required: + - refusal + title: OpenAIResponseContentPartRefusal + description: Refusal content within a streamed response part. + OpenAIResponseError: + properties: + code: + type: string + title: Code + message: + type: string + title: Message + type: object + required: + - code + - message + title: OpenAIResponseError + description: Error details for failed OpenAI response requests. + OpenAIResponseFormatJSONObject: + properties: + type: + type: string + const: json_object + title: Type + default: json_object + type: object + title: OpenAIResponseFormatJSONObject + description: JSON object response format for OpenAI-compatible chat completion requests. + OpenAIResponseFormatJSONSchema: + properties: + type: + type: string + const: json_schema + title: Type + default: json_schema + json_schema: + $ref: '#/components/schemas/OpenAIJSONSchema' + type: object + required: + - json_schema + title: OpenAIResponseFormatJSONSchema + description: JSON schema response format for OpenAI-compatible chat completion requests. + OpenAIResponseFormatText: + properties: + type: + type: string + const: text + title: Type + default: text + type: object + title: OpenAIResponseFormatText + description: Text response format for OpenAI-compatible chat completion requests. + OpenAIResponseInputFunctionToolCallOutput: + properties: + call_id: + type: string + title: Call Id + output: + type: string + title: Output + type: + type: string + const: function_call_output + title: Type + default: function_call_output + id: + anyOf: + - type: string + - type: 'null' + title: Id + status: + anyOf: + - type: string + - type: 'null' + title: Status + type: object + required: + - call_id + - output + title: OpenAIResponseInputFunctionToolCallOutput + description: This represents the output of a function call that gets passed back to the model. + OpenAIResponseInputMessageContentFile: + properties: + type: + type: string + const: input_file + title: Type + default: input_file + file_data: + anyOf: + - type: string + - type: 'null' + title: File Data + file_id: + anyOf: + - type: string + - type: 'null' + title: File Id + file_url: + anyOf: + - type: string + - type: 'null' + title: File Url + filename: + anyOf: + - type: string + - type: 'null' + title: Filename + type: object + title: OpenAIResponseInputMessageContentFile + description: File content for input messages in OpenAI response format. + OpenAIResponseInputMessageContentImage: + properties: + detail: + anyOf: + - type: string + const: low + - type: string + const: high + - type: string + const: auto + title: Detail + default: auto + type: + type: string + const: input_image + title: Type + default: input_image + file_id: + anyOf: + - type: string + - type: 'null' + title: File Id + image_url: + anyOf: + - type: string + - type: 'null' + title: Image Url + type: object + title: OpenAIResponseInputMessageContentImage + description: Image content for input messages in OpenAI response format. + OpenAIResponseInputMessageContentText: + properties: + text: + type: string + title: Text + type: + type: string + const: input_text + title: Type + default: input_text + type: object + required: + - text + title: OpenAIResponseInputMessageContentText + description: Text content for input messages in OpenAI response format. + OpenAIResponseInputToolFileSearch: + properties: + type: + type: string + const: file_search + title: Type + default: file_search + vector_store_ids: + items: + type: string + type: array + title: Vector Store Ids + filters: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Filters + max_num_results: + anyOf: + - type: integer + maximum: 50.0 + minimum: 1.0 + - type: 'null' + title: Max Num Results + default: 10 + ranking_options: + anyOf: + - $ref: '#/components/schemas/SearchRankingOptions' + - type: 'null' + type: object + required: + - vector_store_ids + title: OpenAIResponseInputToolFileSearch + description: File search tool configuration for OpenAI response inputs. + OpenAIResponseInputToolFunction: + properties: + type: + type: string + const: function + title: Type + default: function + name: + type: string + title: Name + description: + anyOf: + - type: string + - type: 'null' + title: Description + parameters: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Parameters + strict: + anyOf: + - type: boolean + - type: 'null' + title: Strict + type: object + required: + - name + - parameters + title: OpenAIResponseInputToolFunction + description: Function tool configuration for OpenAI response inputs. + OpenAIResponseInputToolWebSearch: + properties: + type: + anyOf: + - type: string + const: web_search + - type: string + const: web_search_preview + - type: string + const: web_search_preview_2025_03_11 + - type: string + const: web_search_2025_08_26 + title: Type + default: web_search + search_context_size: + anyOf: + - type: string + pattern: ^low|medium|high$ + - type: 'null' + title: Search Context Size + default: medium + type: object + title: OpenAIResponseInputToolWebSearch + description: Web search tool configuration for OpenAI response inputs. + OpenAIResponseMCPApprovalRequest: + properties: + arguments: + type: string + title: Arguments + id: + type: string + title: Id + name: + type: string + title: Name + server_label: + type: string + title: Server Label + type: + type: string + const: mcp_approval_request + title: Type + default: mcp_approval_request + type: object + required: + - arguments + - id + - name + - server_label + title: OpenAIResponseMCPApprovalRequest + description: A request for human approval of a tool invocation. + OpenAIResponseMCPApprovalResponse: + properties: + approval_request_id: + type: string + title: Approval Request Id + approve: + type: boolean + title: Approve + type: + type: string + const: mcp_approval_response + title: Type + default: mcp_approval_response + id: + anyOf: + - type: string + - type: 'null' + title: Id + reason: + anyOf: + - type: string + - type: 'null' + title: Reason + type: object + required: + - approval_request_id + - approve + title: OpenAIResponseMCPApprovalResponse + description: A response to an MCP approval request. + OpenAIResponseMessage-Input: + properties: + content: + anyOf: + - type: string + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentText' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentImage' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentFile' + discriminator: + propertyName: type + mapping: + input_file: '#/components/schemas/OpenAIResponseInputMessageContentFile' + input_image: '#/components/schemas/OpenAIResponseInputMessageContentImage' + input_text: '#/components/schemas/OpenAIResponseInputMessageContentText' + type: array + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + discriminator: + propertyName: type + mapping: + output_text: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + type: array + title: Content + role: + anyOf: + - type: string + const: system + - type: string + const: developer + - type: string + const: user + - type: string + const: assistant + title: Role + type: + type: string + const: message + title: Type + default: message + id: + anyOf: + - type: string + - type: 'null' + title: Id + status: + anyOf: + - type: string + - type: 'null' + title: Status + type: object + required: + - content + - role + title: OpenAIResponseMessage + description: |- + Corresponds to the various Message types in the Responses API. + They are all under one type because the Responses API gives them all + the same "type" value, and there is no way to tell them apart in certain + scenarios. + OpenAIResponseMessage-Output: + properties: + content: + anyOf: + - type: string + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentText' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentImage' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentFile' + discriminator: + propertyName: type + mapping: + input_file: '#/components/schemas/OpenAIResponseInputMessageContentFile' + input_image: '#/components/schemas/OpenAIResponseInputMessageContentImage' + input_text: '#/components/schemas/OpenAIResponseInputMessageContentText' + type: array + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + discriminator: + propertyName: type + mapping: + output_text: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + type: array + title: Content + role: + anyOf: + - type: string + const: system + - type: string + const: developer + - type: string + const: user + - type: string + const: assistant + title: Role + type: + type: string + const: message + title: Type + default: message + id: + anyOf: + - type: string + - type: 'null' + title: Id + status: + anyOf: + - type: string + - type: 'null' + title: Status + type: object + required: + - content + - role + title: OpenAIResponseMessage + description: |- + Corresponds to the various Message types in the Responses API. + They are all under one type because the Responses API gives them all + the same "type" value, and there is no way to tell them apart in certain + scenarios. + OpenAIResponseObject: + properties: + created_at: + type: integer + title: Created At + error: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseError' + - type: 'null' + id: + type: string + title: Id + model: + type: string + title: Model + object: + type: string + const: response + title: Object + default: response + output: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage-Output' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + discriminator: + propertyName: type + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage-Output' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + type: array + title: Output + parallel_tool_calls: + type: boolean + title: Parallel Tool Calls + default: false + previous_response_id: + anyOf: + - type: string + - type: 'null' + title: Previous Response Id + prompt: + anyOf: + - $ref: '#/components/schemas/OpenAIResponsePrompt' + - type: 'null' + status: + type: string + title: Status + temperature: + anyOf: + - type: number + - type: 'null' + title: Temperature + text: + $ref: '#/components/schemas/OpenAIResponseText' + default: + format: + type: text + top_p: + anyOf: + - type: number + - type: 'null' + title: Top P + tools: + anyOf: + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFileSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFunction' + - $ref: '#/components/schemas/OpenAIResponseToolMCP' + discriminator: + propertyName: type + mapping: + file_search: '#/components/schemas/OpenAIResponseInputToolFileSearch' + function: '#/components/schemas/OpenAIResponseInputToolFunction' + mcp: '#/components/schemas/OpenAIResponseToolMCP' + web_search: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_2025_08_26: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_preview: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_preview_2025_03_11: '#/components/schemas/OpenAIResponseInputToolWebSearch' + type: array + - type: 'null' + title: Tools + truncation: + anyOf: + - type: string + - type: 'null' + title: Truncation + usage: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseUsage' + - type: 'null' + instructions: + anyOf: + - type: string + - type: 'null' + title: Instructions + type: object + required: + - created_at + - id + - model + - output + - status + title: OpenAIResponseObject + description: Complete OpenAI response object containing generation results and metadata. + OpenAIResponseOutputMessageContentOutputText: + properties: + text: + type: string + title: Text + type: + type: string + const: output_text + title: Type + default: output_text + annotations: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationFilePath' + discriminator: + propertyName: type + mapping: + container_file_citation: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + file_citation: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + file_path: '#/components/schemas/OpenAIResponseAnnotationFilePath' + url_citation: '#/components/schemas/OpenAIResponseAnnotationCitation' + type: array + title: Annotations + type: object + required: + - text + title: OpenAIResponseOutputMessageContentOutputText + OpenAIResponseOutputMessageFileSearchToolCall: + properties: + id: + type: string + title: Id + queries: + items: + type: string + type: array + title: Queries + status: + type: string + title: Status + type: + type: string + const: file_search_call + title: Type + default: file_search_call + results: + anyOf: + - items: + $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCallResults' + type: array + - type: 'null' + title: Results + type: object + required: + - id + - queries + - status + title: OpenAIResponseOutputMessageFileSearchToolCall + description: File search tool call output message for OpenAI responses. + OpenAIResponseOutputMessageFileSearchToolCallResults: + properties: + attributes: + additionalProperties: true + type: object + title: Attributes + file_id: + type: string + title: File Id + filename: + type: string + title: Filename + score: + type: number + title: Score + text: + type: string + title: Text + type: object + required: + - attributes + - file_id + - filename + - score + - text + title: OpenAIResponseOutputMessageFileSearchToolCallResults + description: Search results returned by the file search operation. + OpenAIResponseOutputMessageFunctionToolCall: + properties: + call_id: + type: string + title: Call Id + name: + type: string + title: Name + arguments: + type: string + title: Arguments + type: + type: string + const: function_call + title: Type + default: function_call + id: + anyOf: + - type: string + - type: 'null' + title: Id + status: + anyOf: + - type: string + - type: 'null' + title: Status + type: object + required: + - call_id + - name + - arguments + title: OpenAIResponseOutputMessageFunctionToolCall + description: Function tool call output message for OpenAI responses. + OpenAIResponseOutputMessageMCPCall: + properties: + id: + type: string + title: Id + type: + type: string + const: mcp_call + title: Type + default: mcp_call + arguments: + type: string + title: Arguments + name: + type: string + title: Name + server_label: + type: string + title: Server Label + error: + anyOf: + - type: string + - type: 'null' + title: Error + output: + anyOf: + - type: string + - type: 'null' + title: Output + type: object + required: + - id + - arguments + - name + - server_label + title: OpenAIResponseOutputMessageMCPCall + description: Model Context Protocol (MCP) call output message for OpenAI responses. + OpenAIResponseOutputMessageMCPListTools: + properties: + id: + type: string + title: Id + type: + type: string + const: mcp_list_tools + title: Type + default: mcp_list_tools + server_label: + type: string + title: Server Label + tools: + items: + $ref: '#/components/schemas/MCPListToolsTool' + type: array + title: Tools + type: object + required: + - id + - server_label + - tools + title: OpenAIResponseOutputMessageMCPListTools + description: MCP list tools output message containing available tools from an MCP server. + OpenAIResponseOutputMessageWebSearchToolCall: + properties: + id: + type: string + title: Id + status: + type: string + title: Status + type: + type: string + const: web_search_call + title: Type + default: web_search_call + type: object + required: + - id + - status + title: OpenAIResponseOutputMessageWebSearchToolCall + description: Web search tool call output message for OpenAI responses. + OpenAIResponsePrompt: + properties: + id: + type: string + title: Id + variables: + anyOf: + - additionalProperties: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentText' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentImage' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentFile' + discriminator: + propertyName: type + mapping: + input_file: '#/components/schemas/OpenAIResponseInputMessageContentFile' + input_image: '#/components/schemas/OpenAIResponseInputMessageContentImage' + input_text: '#/components/schemas/OpenAIResponseInputMessageContentText' + type: object + - type: 'null' + title: Variables + version: + anyOf: + - type: string + - type: 'null' + title: Version + type: object + required: + - id + title: OpenAIResponsePrompt + description: OpenAI compatible Prompt object that is used in OpenAI responses. + OpenAIResponseText: + properties: + format: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseTextFormat' + - type: 'null' + type: object + title: OpenAIResponseText + description: Text response configuration for OpenAI responses. + OpenAIResponseTextFormat: + properties: + type: + anyOf: + - type: string + const: text + - type: string + const: json_schema + - type: string + const: json_object + title: Type + name: + anyOf: + - type: string + - type: 'null' + title: Name + schema: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Schema + description: + anyOf: + - type: string + - type: 'null' + title: Description + strict: + anyOf: + - type: boolean + - type: 'null' + title: Strict + type: object + title: OpenAIResponseTextFormat + description: Configuration for Responses API text format. + OpenAIResponseToolMCP: + properties: + type: + type: string + const: mcp + title: Type + default: mcp + server_label: + type: string + title: Server Label + allowed_tools: + anyOf: + - items: + type: string + type: array + - $ref: '#/components/schemas/AllowedToolsFilter' + - type: 'null' + title: Allowed Tools + type: object + required: + - server_label + title: OpenAIResponseToolMCP + description: Model Context Protocol (MCP) tool configuration for OpenAI response object. + OpenAIResponseUsage: + properties: + input_tokens: + type: integer + title: Input Tokens + output_tokens: + type: integer + title: Output Tokens + total_tokens: + type: integer + title: Total Tokens + input_tokens_details: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseUsageInputTokensDetails' + - type: 'null' + output_tokens_details: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseUsageOutputTokensDetails' + - type: 'null' + type: object + required: + - input_tokens + - output_tokens + - total_tokens + title: OpenAIResponseUsage + description: Usage information for OpenAI response. + OpenAIResponseUsageInputTokensDetails: + properties: + cached_tokens: + anyOf: + - type: integer + - type: 'null' + title: Cached Tokens + type: object + title: OpenAIResponseUsageInputTokensDetails + description: Token details for input tokens in OpenAI response usage. + OpenAIResponseUsageOutputTokensDetails: + properties: + reasoning_tokens: + anyOf: + - type: integer + - type: 'null' + title: Reasoning Tokens + type: object + title: OpenAIResponseUsageOutputTokensDetails + description: Token details for output tokens in OpenAI response usage. + OpenAISystemMessageParam: + properties: + role: + type: string + const: system + title: Role + default: system + content: + anyOf: + - type: string + - items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + title: Content + name: + anyOf: + - type: string + - type: 'null' + title: Name + type: object + required: + - content + title: OpenAISystemMessageParam + description: A system message providing instructions or context to the model. + OpenAITokenLogProb: + properties: + token: + type: string + title: Token + bytes: + anyOf: + - items: + type: integer + type: array + - type: 'null' + title: Bytes + logprob: + type: number + title: Logprob + top_logprobs: + items: + $ref: '#/components/schemas/OpenAITopLogProb' + type: array + title: Top Logprobs + type: object + required: + - token + - logprob + - top_logprobs + title: OpenAITokenLogProb + description: |- + The log probability for a token from an OpenAI-compatible chat completion response. + + :token: The token + :bytes: (Optional) The bytes for the token + :logprob: The log probability of the token + :top_logprobs: The top log probabilities for the token + OpenAIToolMessageParam: + properties: + role: + type: string + const: tool + title: Role + default: tool + tool_call_id: + type: string + title: Tool Call Id + content: + anyOf: + - type: string + - items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + title: Content + type: object + required: + - tool_call_id + - content + title: OpenAIToolMessageParam + description: A message representing the result of a tool invocation in an OpenAI-compatible chat completion request. + OpenAITopLogProb: + properties: + token: + type: string + title: Token + bytes: + anyOf: + - items: + type: integer + type: array + - type: 'null' + title: Bytes + logprob: + type: number + title: Logprob + type: object + required: + - token + - logprob + title: OpenAITopLogProb + description: |- + The top log probability for a token from an OpenAI-compatible chat completion response. + + :token: The token + :bytes: (Optional) The bytes for the token + :logprob: The log probability of the token + OpenAIUserMessageParam-Input: + properties: + role: + type: string + const: user + title: Role + default: user + content: + anyOf: + - type: string + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + - $ref: '#/components/schemas/OpenAIFile' + discriminator: + propertyName: type + mapping: + file: '#/components/schemas/OpenAIFile' + image_url: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + text: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + title: Content + name: + anyOf: + - type: string + - type: 'null' + title: Name + type: object + required: + - content + title: OpenAIUserMessageParam + description: A message from the user in an OpenAI-compatible chat completion request. + OpenAIUserMessageParam-Output: + properties: + role: + type: string + const: user + title: Role + default: user + content: + anyOf: + - type: string + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + - $ref: '#/components/schemas/OpenAIFile' + discriminator: + propertyName: type + mapping: + file: '#/components/schemas/OpenAIFile' + image_url: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + text: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + title: Content + name: + anyOf: + - type: string + - type: 'null' + title: Name + type: object + required: + - content + title: OpenAIUserMessageParam + description: A message from the user in an OpenAI-compatible chat completion request. + OptimizerConfig: + properties: + optimizer_type: + $ref: '#/components/schemas/OptimizerType' + lr: + type: number + title: Lr + weight_decay: + type: number + title: Weight Decay + num_warmup_steps: + type: integer + title: Num Warmup Steps + type: object + required: + - optimizer_type + - lr + - weight_decay + - num_warmup_steps + title: OptimizerConfig + description: Configuration parameters for the optimization algorithm. + OptimizerType: + type: string + enum: + - adam + - adamw + - sgd + title: OptimizerType + description: Available optimizer algorithms for training. + Order: + type: string + enum: + - asc + - desc + title: Order + description: Sort order for paginated responses. + OutputTokensDetails: + properties: + reasoning_tokens: + type: integer + title: Reasoning Tokens + additionalProperties: true + type: object + required: + - reasoning_tokens + title: OutputTokensDetails + PostTrainingJob: + properties: + job_uuid: + type: string + title: Job Uuid + type: object + required: + - job_uuid + title: PostTrainingJob + Prompt: + properties: + prompt: + anyOf: + - type: string + - type: 'null' + title: Prompt + description: The system prompt with variable placeholders + version: + type: integer + minimum: 1.0 + title: Version + description: Version (integer starting at 1, incremented on save) + prompt_id: + type: string + title: Prompt Id + description: Unique identifier in format 'pmpt_<48-digit-hash>' + variables: + items: + type: string + type: array + title: Variables + description: List of variable names that can be used in the prompt template + is_default: + type: boolean + title: Is Default + description: Boolean indicating whether this version is the default version + default: false + type: object + required: + - version + - prompt_id + title: Prompt + description: A prompt resource representing a stored OpenAI Compatible prompt template in Llama Stack. + ProviderInfo: + properties: + api: + type: string + title: Api + provider_id: + type: string + title: Provider Id + provider_type: + type: string + title: Provider Type + config: + additionalProperties: true + type: object + title: Config + health: + additionalProperties: true + type: object + title: Health + type: object + required: + - api + - provider_id + - provider_type + - config + - health + title: ProviderInfo + description: Information about a registered provider including its configuration and health status. + QATFinetuningConfig: + properties: + type: + type: string + const: QAT + title: Type + default: QAT + quantizer_name: + type: string + title: Quantizer Name + group_size: + type: integer + title: Group Size + type: object + required: + - quantizer_name + - group_size + title: QATFinetuningConfig + description: Configuration for Quantization-Aware Training (QAT) fine-tuning. + QueryChunksResponse: + properties: + chunks: + items: + $ref: '#/components/schemas/Chunk-Output' + type: array + title: Chunks + scores: + items: + type: number + type: array + title: Scores + type: object + required: + - chunks + - scores + title: QueryChunksResponse + description: Response from querying chunks in a vector database. + RegexParserScoringFnParams: + properties: + type: + type: string + const: regex_parser + title: Type + default: regex_parser + parsing_regexes: + items: + type: string + type: array + title: Parsing Regexes + description: Regex to extract the answer from generated response + aggregation_functions: + items: + $ref: '#/components/schemas/AggregationFunctionType' + type: array + title: Aggregation Functions + description: Aggregation functions to apply to the scores of each row + type: object + title: RegexParserScoringFnParams + description: Parameters for regex parser scoring function configuration. + RerankData: + properties: + index: + type: integer + title: Index + relevance_score: + type: number + title: Relevance Score + type: object + required: + - index + - relevance_score + title: RerankData + description: A single rerank result from a reranking response. + RerankResponse: + properties: + data: + items: + $ref: '#/components/schemas/RerankData' + type: array + title: Data + type: object + required: + - data + title: RerankResponse + description: Response from a reranking request. + RowsDataSource: + properties: + type: + type: string + const: rows + title: Type + default: rows + rows: + items: + additionalProperties: true + type: object + type: array + title: Rows + type: object + required: + - rows + title: RowsDataSource + description: A dataset stored in rows. + RunShieldResponse: + properties: + violation: + anyOf: + - $ref: '#/components/schemas/SafetyViolation' + - type: 'null' + type: object + title: RunShieldResponse + description: Response from running a safety shield. + SafetyViolation: + properties: + violation_level: + $ref: '#/components/schemas/ViolationLevel' + user_message: + anyOf: + - type: string + - type: 'null' + title: User Message + metadata: + additionalProperties: true + type: object + title: Metadata + type: object + required: + - violation_level + title: SafetyViolation + description: Details of a safety violation detected by content moderation. + SamplingParams: + properties: + strategy: + oneOf: + - $ref: '#/components/schemas/GreedySamplingStrategy' + - $ref: '#/components/schemas/TopPSamplingStrategy' + - $ref: '#/components/schemas/TopKSamplingStrategy' + title: Strategy + discriminator: + propertyName: type + mapping: + greedy: '#/components/schemas/GreedySamplingStrategy' + top_k: '#/components/schemas/TopKSamplingStrategy' + top_p: '#/components/schemas/TopPSamplingStrategy' + max_tokens: + anyOf: + - type: integer + - type: 'null' + title: Max Tokens + repetition_penalty: + anyOf: + - type: number + - type: 'null' + title: Repetition Penalty + default: 1.0 + stop: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: Stop + type: object + title: SamplingParams + description: Sampling parameters. + ScoreBatchResponse: + properties: + dataset_id: + anyOf: + - type: string + - type: 'null' + title: Dataset Id + results: + additionalProperties: + $ref: '#/components/schemas/ScoringResult' + type: object + title: Results + type: object + required: + - results + title: ScoreBatchResponse + description: Response from batch scoring operations on datasets. + ScoreResponse: + properties: + results: + additionalProperties: + $ref: '#/components/schemas/ScoringResult' + type: object + title: Results + type: object + required: + - results + title: ScoreResponse + description: The response from scoring. + ScoringFn: + properties: + identifier: + type: string + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: + type: string + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: scoring_function + title: Type + default: scoring_function + description: + anyOf: + - type: string + - type: 'null' + title: Description + metadata: + additionalProperties: true + type: object + title: Metadata + description: Any additional metadata for this definition + return_type: + oneOf: + - $ref: '#/components/schemas/StringType' + - $ref: '#/components/schemas/NumberType' + - $ref: '#/components/schemas/BooleanType' + - $ref: '#/components/schemas/ArrayType' + - $ref: '#/components/schemas/ObjectType' + - $ref: '#/components/schemas/JsonType' + - $ref: '#/components/schemas/UnionType' + - $ref: '#/components/schemas/ChatCompletionInputType' + - $ref: '#/components/schemas/CompletionInputType' + title: Return Type + description: The return type of the deterministic function + discriminator: + propertyName: type + mapping: + array: '#/components/schemas/ArrayType' + boolean: '#/components/schemas/BooleanType' + chat_completion_input: '#/components/schemas/ChatCompletionInputType' + completion_input: '#/components/schemas/CompletionInputType' + json: '#/components/schemas/JsonType' + number: '#/components/schemas/NumberType' + object: '#/components/schemas/ObjectType' + string: '#/components/schemas/StringType' + union: '#/components/schemas/UnionType' + params: + anyOf: + - oneOf: + - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams' + - $ref: '#/components/schemas/RegexParserScoringFnParams' + - $ref: '#/components/schemas/BasicScoringFnParams' + discriminator: + propertyName: type + mapping: + basic: '#/components/schemas/BasicScoringFnParams' + llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams' + regex_parser: '#/components/schemas/RegexParserScoringFnParams' + - type: 'null' + title: Params + description: The parameters for the scoring function for benchmark eval, these can be overridden for app eval + type: object + required: + - identifier + - provider_id + - return_type + title: ScoringFn + description: A scoring function resource for evaluating model outputs. + ScoringResult: + properties: + score_rows: + items: + additionalProperties: true + type: object + type: array + title: Score Rows + aggregated_results: + additionalProperties: true + type: object + title: Aggregated Results + type: object + required: + - score_rows + - aggregated_results + title: ScoringResult + description: A scoring result for a single row. + SearchRankingOptions: + properties: + ranker: + anyOf: + - type: string + - type: 'null' + title: Ranker + score_threshold: + anyOf: + - type: number + - type: 'null' + title: Score Threshold + default: 0.0 + type: object + title: SearchRankingOptions + description: Options for ranking and filtering search results. + Shield: + properties: + identifier: + type: string + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: + type: string + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: shield + title: Type + default: shield + params: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Params + type: object + required: + - identifier + - provider_id + title: Shield + description: A safety shield resource that can be used to check content. + StringType: + properties: + type: + type: string + const: string + title: Type + default: string + type: object + title: StringType + description: Parameter type for string values. + SystemMessage: + properties: + role: + type: string + const: system + title: Role + default: system + content: + anyOf: + - type: string + - oneOf: + - $ref: '#/components/schemas/ImageContentItem-Input' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Input' + text: '#/components/schemas/TextContentItem' + - items: + oneOf: + - $ref: '#/components/schemas/ImageContentItem-Input' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Input' + text: '#/components/schemas/TextContentItem' + type: array + title: Content + type: object + required: + - content + title: SystemMessage + description: A system message providing instructions or context to the model. + TextContentItem: + properties: + type: + type: string + const: text + title: Type + default: text + text: + type: string + title: Text + type: object + required: + - text + title: TextContentItem + description: A text content item + ToolDef: + properties: + toolgroup_id: + anyOf: + - type: string + - type: 'null' + title: Toolgroup Id + name: + type: string + title: Name + description: + anyOf: + - type: string + - type: 'null' + title: Description + input_schema: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Input Schema + output_schema: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Output Schema + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + type: object + required: + - name + title: ToolDef + description: Tool definition used in runtime contexts. + ToolGroup: + properties: + identifier: + type: string + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: + type: string + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: tool_group + title: Type + default: tool_group + mcp_endpoint: + anyOf: + - $ref: '#/components/schemas/URL' + - type: 'null' + args: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Args + type: object + required: + - identifier + - provider_id + title: ToolGroup + description: A group of related tools managed together. + ToolInvocationResult: + properties: + content: + anyOf: + - type: string + - oneOf: + - $ref: '#/components/schemas/ImageContentItem-Output' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Output' + text: '#/components/schemas/TextContentItem' + - items: + oneOf: + - $ref: '#/components/schemas/ImageContentItem-Output' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Output' + text: '#/components/schemas/TextContentItem' + type: array + - type: 'null' + title: Content + error_message: + anyOf: + - type: string + - type: 'null' + title: Error Message + error_code: + anyOf: + - type: integer + - type: 'null' + title: Error Code + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + type: object + title: ToolInvocationResult + description: Result of a tool invocation. + TopKSamplingStrategy: + properties: + type: + type: string + const: top_k + title: Type + default: top_k + top_k: + type: integer + minimum: 1.0 + title: Top K + type: object + required: + - top_k + title: TopKSamplingStrategy + description: Top-k sampling strategy that restricts sampling to the k most likely tokens. + TopPSamplingStrategy: + properties: + type: + type: string + const: top_p + title: Type + default: top_p + temperature: + anyOf: + - type: number + minimum: 0.0 + - type: 'null' + title: Temperature + top_p: + anyOf: + - type: number + - type: 'null' + title: Top P + default: 0.95 + type: object + required: + - temperature + title: TopPSamplingStrategy + description: Top-p (nucleus) sampling strategy that samples from the smallest set of tokens with cumulative probability >= p. + TrainingConfig: + properties: + n_epochs: + type: integer + title: N Epochs + max_steps_per_epoch: + type: integer + title: Max Steps Per Epoch + default: 1 + gradient_accumulation_steps: + type: integer + title: Gradient Accumulation Steps + default: 1 + max_validation_steps: + anyOf: + - type: integer + - type: 'null' + title: Max Validation Steps + default: 1 + data_config: + anyOf: + - $ref: '#/components/schemas/DataConfig' + - type: 'null' + optimizer_config: + anyOf: + - $ref: '#/components/schemas/OptimizerConfig' + - type: 'null' + efficiency_config: + anyOf: + - $ref: '#/components/schemas/EfficiencyConfig' + - type: 'null' + dtype: + anyOf: + - type: string + - type: 'null' + title: Dtype + default: bf16 + type: object + required: + - n_epochs + title: TrainingConfig + description: Comprehensive configuration for the training process. + URIDataSource: + properties: + type: + type: string + const: uri + title: Type + default: uri + uri: + type: string + title: Uri + type: object + required: + - uri + title: URIDataSource + description: A dataset that can be obtained from a URI. + URL: + properties: + uri: + type: string + title: Uri + type: object + required: + - uri + title: URL + description: A URL reference to external content. + UnionType: + properties: + type: + type: string + const: union + title: Type + default: union + type: object + title: UnionType + description: Parameter type for union values. + VectorStoreChunkingStrategyAuto: + properties: + type: + type: string + const: auto + title: Type + default: auto + type: object + title: VectorStoreChunkingStrategyAuto + description: Automatic chunking strategy for vector store files. + VectorStoreChunkingStrategyStatic: + properties: + type: + type: string + const: static + title: Type + default: static + static: + $ref: '#/components/schemas/VectorStoreChunkingStrategyStaticConfig' + type: object + required: + - static + title: VectorStoreChunkingStrategyStatic + description: Static chunking strategy with configurable parameters. + VectorStoreChunkingStrategyStaticConfig: + properties: + chunk_overlap_tokens: + type: integer + title: Chunk Overlap Tokens + default: 400 + max_chunk_size_tokens: + type: integer + maximum: 4096.0 + minimum: 100.0 + title: Max Chunk Size Tokens + default: 800 + type: object + title: VectorStoreChunkingStrategyStaticConfig + description: Configuration for static chunking strategy. + VectorStoreContent: + properties: + type: + type: string + const: text + title: Type + text: + type: string + title: Text + type: object + required: + - type + - text + title: VectorStoreContent + description: Content item from a vector store file or search result. + VectorStoreDeleteResponse: + properties: + id: + type: string + title: Id + object: + type: string + title: Object + default: vector_store.deleted + deleted: + type: boolean + title: Deleted + default: true + type: object + required: + - id + title: VectorStoreDeleteResponse + description: Response from deleting a vector store. + VectorStoreFileBatchObject: + properties: + id: + type: string + title: Id + object: + type: string + title: Object + default: vector_store.file_batch + created_at: + type: integer + title: Created At + vector_store_id: + type: string + title: Vector Store Id + status: + anyOf: + - type: string + const: completed + - type: string + const: in_progress + - type: string + const: cancelled + - type: string + const: failed + title: Status + file_counts: + $ref: '#/components/schemas/VectorStoreFileCounts' + type: object + required: + - id + - created_at + - vector_store_id + - status + - file_counts + title: VectorStoreFileBatchObject + description: OpenAI Vector Store File Batch object. + VectorStoreFileContentsResponse: + properties: + file_id: + type: string + title: File Id + filename: + type: string + title: Filename + attributes: + additionalProperties: true + type: object + title: Attributes + content: + items: + $ref: '#/components/schemas/VectorStoreContent' + type: array + title: Content + type: object + required: + - file_id + - filename + - attributes + - content + title: VectorStoreFileContentsResponse + description: Response from retrieving the contents of a vector store file. + VectorStoreFileCounts: + properties: + completed: + type: integer + title: Completed + cancelled: + type: integer + title: Cancelled + failed: + type: integer + title: Failed + in_progress: + type: integer + title: In Progress + total: + type: integer + title: Total + type: object + required: + - completed + - cancelled + - failed + - in_progress + - total + title: VectorStoreFileCounts + description: File processing status counts for a vector store. + VectorStoreFileDeleteResponse: + properties: + id: + type: string + title: Id + object: + type: string + title: Object + default: vector_store.file.deleted + deleted: + type: boolean + title: Deleted + default: true + type: object + required: + - id + title: VectorStoreFileDeleteResponse + description: Response from deleting a vector store file. + VectorStoreFileLastError: + properties: + code: + anyOf: + - type: string + const: server_error + - type: string + const: rate_limit_exceeded + title: Code + message: + type: string + title: Message + type: object + required: + - code + - message + title: VectorStoreFileLastError + description: Error information for failed vector store file processing. + VectorStoreFileObject: + properties: + id: + type: string + title: Id + object: + type: string + title: Object + default: vector_store.file + attributes: + additionalProperties: true + type: object + title: Attributes + chunking_strategy: + oneOf: + - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' + - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + title: Chunking Strategy + discriminator: + propertyName: type + mapping: + auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' + static: '#/components/schemas/VectorStoreChunkingStrategyStatic' + created_at: + type: integer + title: Created At + last_error: + anyOf: + - $ref: '#/components/schemas/VectorStoreFileLastError' + - type: 'null' + status: + anyOf: + - type: string + const: completed + - type: string + const: in_progress + - type: string + const: cancelled + - type: string + const: failed + title: Status + usage_bytes: + type: integer + title: Usage Bytes + default: 0 + vector_store_id: + type: string + title: Vector Store Id + type: object + required: + - id + - chunking_strategy + - created_at + - status + - vector_store_id + title: VectorStoreFileObject + description: OpenAI Vector Store File object. + VectorStoreObject: + properties: + id: + type: string + title: Id + object: + type: string + title: Object + default: vector_store + created_at: + type: integer + title: Created At + name: + anyOf: + - type: string + - type: 'null' + title: Name + usage_bytes: + type: integer + title: Usage Bytes + default: 0 + file_counts: + $ref: '#/components/schemas/VectorStoreFileCounts' + status: + type: string + title: Status + default: completed + expires_after: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Expires After + expires_at: + anyOf: + - type: integer + - type: 'null' + title: Expires At + last_active_at: + anyOf: + - type: integer + - type: 'null' + title: Last Active At + metadata: + additionalProperties: true + type: object + title: Metadata + type: object + required: + - id + - created_at + - file_counts + title: VectorStoreObject + description: OpenAI Vector Store object. + VectorStoreSearchResponse: + properties: + file_id: + type: string + title: File Id + filename: + type: string + title: Filename + score: + type: number + title: Score + attributes: + anyOf: + - additionalProperties: + anyOf: + - type: string + - type: number + - type: boolean + type: object + - type: 'null' + title: Attributes + content: + items: + $ref: '#/components/schemas/VectorStoreContent' + type: array + title: Content + type: object + required: + - file_id + - filename + - score + - content + title: VectorStoreSearchResponse + description: Response from searching a vector store. + VectorStoreSearchResponsePage: + properties: + object: + type: string + title: Object + default: vector_store.search_results.page + search_query: + items: + type: string + type: array + title: Search Query + data: + items: + $ref: '#/components/schemas/VectorStoreSearchResponse' + type: array + title: Data + has_more: + type: boolean + title: Has More + default: false + next_page: + anyOf: + - type: string + - type: 'null' + title: Next Page + type: object + required: + - search_query + - data + title: VectorStoreSearchResponsePage + description: Paginated response from searching a vector store. + VersionInfo: + properties: + version: + type: string + title: Version + type: object + required: + - version + title: VersionInfo + description: Version information for the service. + ViolationLevel: + type: string + enum: + - info + - warn + - error + title: ViolationLevel + description: Severity level of a safety violation. + _URLOrData: + properties: + url: + anyOf: + - $ref: '#/components/schemas/URL' + - type: 'null' + data: + anyOf: + - type: string + - type: 'null' + contentEncoding: base64 + title: Data + type: object + title: _URLOrData + description: A URL or a base64 encoded string + _batches_Request: + properties: + input_file_id: + type: string + title: Input File Id + endpoint: + type: string + title: Endpoint + completion_window: + type: string + const: 24h + title: Completion Window + metadata: + anyOf: + - additionalProperties: + type: string + type: object + - type: 'null' + title: Metadata + idempotency_key: + anyOf: + - type: string + - type: 'null' + title: Idempotency Key + type: object + required: + - input_file_id + - endpoint + - completion_window + title: _batches_Request + _conversations_Request: + properties: + items: + anyOf: + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage-Input' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + discriminator: + propertyName: type + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + function_call_output: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_approval_response: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage-Input' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + type: array + - type: 'null' + title: Items + metadata: + anyOf: + - additionalProperties: + type: string + type: object + - type: 'null' + title: Metadata + type: object + title: _conversations_Request + _conversations_conversation_id_Request: + properties: + metadata: + additionalProperties: + type: string + type: object + title: Metadata + type: object + required: + - metadata + title: _conversations_conversation_id_Request + _conversations_conversation_id_items_Request: + properties: + items: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage-Input' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + discriminator: + propertyName: type + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + function_call_output: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_approval_response: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage-Input' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + type: array + title: Items + type: object + required: + - items + title: _conversations_conversation_id_items_Request + _datasets_Request: + properties: + purpose: + title: Purpose + source: + title: Source + metadata: + title: Metadata + dataset_id: + title: Dataset Id + type: object + required: + - purpose + - source + title: _datasets_Request + _eval_benchmarks_benchmark_id_evaluations_Request: + properties: + input_rows: + items: + additionalProperties: true + type: object + type: array + title: Input Rows + scoring_functions: + items: + type: string + type: array + title: Scoring Functions + benchmark_config: + $ref: '#/components/schemas/BenchmarkConfig' + type: object + required: + - input_rows + - scoring_functions + - benchmark_config + title: _eval_benchmarks_benchmark_id_evaluations_Request + _inference_rerank_Request: + properties: + model: + type: string + title: Model + query: + anyOf: + - type: string + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + title: Query + items: + items: + anyOf: + - type: string + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + type: array + title: Items + max_num_results: + anyOf: + - type: integer + - type: 'null' + title: Max Num Results + type: object + required: + - model + - query + - items + title: _inference_rerank_Request + _models_Request: + properties: + model_id: + type: string + title: Model Id + provider_model_id: + anyOf: + - type: string + - type: 'null' + title: Provider Model Id + provider_id: + anyOf: + - type: string + - type: 'null' + title: Provider Id + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + model_type: + anyOf: + - $ref: '#/components/schemas/ModelType' + - type: 'null' + type: object + required: + - model_id + title: _models_Request + _moderations_Request: + properties: + input: + anyOf: + - type: string + - items: + type: string + type: array + title: Input + model: + anyOf: + - type: string + - type: 'null' + title: Model + type: object + required: + - input + title: _moderations_Request + _post_training_preference_optimize_Request: + properties: + job_uuid: + type: string + title: Job Uuid + finetuned_model: + type: string + title: Finetuned Model + algorithm_config: + $ref: '#/components/schemas/DPOAlignmentConfig' + training_config: + $ref: '#/components/schemas/TrainingConfig' + hyperparam_search_config: + additionalProperties: true + type: object + title: Hyperparam Search Config + logger_config: + additionalProperties: true + type: object + title: Logger Config + type: object + required: + - job_uuid + - finetuned_model + - algorithm_config + - training_config + - hyperparam_search_config + - logger_config + title: _post_training_preference_optimize_Request + _post_training_supervised_fine_tune_Request: + properties: + job_uuid: + type: string + title: Job Uuid + training_config: + $ref: '#/components/schemas/TrainingConfig' + hyperparam_search_config: + additionalProperties: true + type: object + title: Hyperparam Search Config + logger_config: + additionalProperties: true + type: object + title: Logger Config + model: + anyOf: + - type: string + - type: 'null' + title: Model + description: Model descriptor for training if not in provider config` + checkpoint_dir: + anyOf: + - type: string + - type: 'null' + title: Checkpoint Dir + algorithm_config: + anyOf: + - oneOf: + - $ref: '#/components/schemas/LoraFinetuningConfig' + - $ref: '#/components/schemas/QATFinetuningConfig' + discriminator: + propertyName: type + mapping: + LoRA: '#/components/schemas/LoraFinetuningConfig' + QAT: '#/components/schemas/QATFinetuningConfig' + - type: 'null' + title: Algorithm Config + type: object + required: + - job_uuid + - training_config + - hyperparam_search_config + - logger_config + title: _post_training_supervised_fine_tune_Request + _prompts_Request: + properties: + prompt: + type: string + title: Prompt + variables: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: Variables + type: object + required: + - prompt + title: _prompts_Request + _prompts_prompt_id_Request: + properties: + prompt: + type: string + title: Prompt + version: + type: integer + title: Version + variables: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: Variables + set_as_default: + type: boolean + title: Set As Default + default: true + type: object + required: + - prompt + - version + title: _prompts_prompt_id_Request + _prompts_prompt_id_set_default_version_Request: + properties: + version: + type: integer + title: Version + type: object + required: + - version + title: _prompts_prompt_id_set_default_version_Request + _responses_Request: + properties: + input: + title: Input + model: + title: Model + prompt: + title: Prompt + instructions: + title: Instructions + previous_response_id: + title: Previous Response Id + conversation: + title: Conversation + store: + title: Store + default: true + stream: + title: Stream + default: false + temperature: + title: Temperature + text: + title: Text + tools: + title: Tools + include: + title: Include + max_infer_iters: + title: Max Infer Iters + default: 10 + guardrails: + title: Guardrails + type: object + required: + - input + - model + title: _responses_Request + _scoring_score_Request: + properties: + input_rows: + items: + additionalProperties: true + type: object + type: array + title: Input Rows + scoring_functions: + additionalProperties: + anyOf: + - oneOf: + - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams' + - $ref: '#/components/schemas/RegexParserScoringFnParams' + - $ref: '#/components/schemas/BasicScoringFnParams' + discriminator: + propertyName: type + mapping: + basic: '#/components/schemas/BasicScoringFnParams' + llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams' + regex_parser: '#/components/schemas/RegexParserScoringFnParams' + - type: 'null' + type: object + title: Scoring Functions + type: object + required: + - input_rows + - scoring_functions + title: _scoring_score_Request + _scoring_score_batch_Request: + properties: + dataset_id: + type: string + title: Dataset Id + scoring_functions: + additionalProperties: + anyOf: + - oneOf: + - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams' + - $ref: '#/components/schemas/RegexParserScoringFnParams' + - $ref: '#/components/schemas/BasicScoringFnParams' + discriminator: + propertyName: type + mapping: + basic: '#/components/schemas/BasicScoringFnParams' + llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams' + regex_parser: '#/components/schemas/RegexParserScoringFnParams' + - type: 'null' + type: object + title: Scoring Functions + save_results_dataset: + type: boolean + title: Save Results Dataset + default: false + type: object + required: + - dataset_id + - scoring_functions + title: _scoring_score_batch_Request + _shields_Request: + properties: + shield_id: + type: string + title: Shield Id + provider_shield_id: + anyOf: + - type: string + - type: 'null' + title: Provider Shield Id + provider_id: + anyOf: + - type: string + - type: 'null' + title: Provider Id + params: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Params + type: object + required: + - shield_id + title: _shields_Request + _tool_runtime_invoke_Request: + properties: + tool_name: + type: string + title: Tool Name + kwargs: + additionalProperties: true + type: object + title: Kwargs + type: object + required: + - tool_name + - kwargs + title: _tool_runtime_invoke_Request + _vector_io_query_Request: + properties: + vector_store_id: + type: string + title: Vector Store Id + query: + anyOf: + - type: string + - oneOf: + - $ref: '#/components/schemas/ImageContentItem-Input' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Input' + text: '#/components/schemas/TextContentItem' + - items: + oneOf: + - $ref: '#/components/schemas/ImageContentItem-Input' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Input' + text: '#/components/schemas/TextContentItem' + type: array + title: Query + params: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Params + type: object + required: + - vector_store_id + - query + title: _vector_io_query_Request + _vector_stores_vector_store_id_Request: + properties: + name: + anyOf: + - type: string + - type: 'null' + title: Name + expires_after: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Expires After + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + type: object + title: _vector_stores_vector_store_id_Request + _vector_stores_vector_store_id_files_Request: + properties: + file_id: + type: string + title: File Id + attributes: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Attributes + chunking_strategy: + anyOf: + - oneOf: + - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' + - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + discriminator: + propertyName: type + mapping: + auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' + static: '#/components/schemas/VectorStoreChunkingStrategyStatic' + - type: 'null' + title: Chunking Strategy + type: object + required: + - file_id + title: _vector_stores_vector_store_id_files_Request + _vector_stores_vector_store_id_files_file_id_Request: + properties: + attributes: + additionalProperties: true + type: object + title: Attributes + type: object + required: + - attributes + title: _vector_stores_vector_store_id_files_file_id_Request + _vector_stores_vector_store_id_search_Request: + properties: + query: + anyOf: + - type: string + - items: + type: string + type: array + title: Query + filters: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Filters + max_num_results: + anyOf: + - type: integer + - type: 'null' + title: Max Num Results + default: 10 + ranking_options: + anyOf: + - $ref: '#/components/schemas/SearchRankingOptions' + - type: 'null' + rewrite_query: + anyOf: + - type: boolean + - type: 'null' + title: Rewrite Query + default: false + search_mode: + anyOf: + - type: string + - type: 'null' + title: Search Mode + default: vector + type: object + required: + - query + title: _vector_stores_vector_store_id_search_Request + Error: + description: Error response from the API. Roughly follows RFC 7807. + properties: + status: + title: Status + type: integer + title: + title: Title + type: string + detail: + title: Detail + type: string + instance: + anyOf: + - type: string + - type: 'null' + title: Instance + nullable: true + required: + - status + - title + - detail title: Error description: >- Error response from the API. Roughly follows RFC 7807. @@ -1127,8 +6562,7 @@ components: title: Bad Request detail: The request was invalid or malformed TooManyRequests429: - description: >- - The client has sent too many requests in a given amount of time + description: The client has sent too many requests in a given amount of time content: application/json: schema: @@ -1136,11 +6570,9 @@ components: example: status: 429 title: Too Many Requests - detail: >- - You have exceeded the rate limit. Please try again later. + detail: You have exceeded the rate limit. Please try again later. InternalServerError500: - description: >- - The server encountered an unexpected error + description: The server encountered an unexpected error content: application/json: schema: @@ -1148,10 +6580,9 @@ components: example: status: 500 title: Internal Server Error - detail: >- - An unexpected error occurred. Our team has been notified. + detail: An unexpected error occurred DefaultError: - description: An unexpected error occurred + description: An error occurred content: application/json: schema: diff --git a/docs/static/experimental-llama-stack-spec.yaml b/docs/static/experimental-llama-stack-spec.yaml index 6f379d17c..9d1407830 100644 --- a/docs/static/experimental-llama-stack-spec.yaml +++ b/docs/static/experimental-llama-stack-spec.yaml @@ -1,55 +1,131 @@ openapi: 3.1.0 info: - title: >- - Llama Stack Specification - Experimental APIs - version: v1 - description: >- + title: Llama Stack Specification - Experimental APIs + description: |- This is the specification of the Llama Stack that provides - a set of endpoints and their corresponding interfaces that are - tailored to - best leverage Llama Models. + a set of endpoints and their corresponding interfaces that are + tailored to + best leverage Llama Models. - **🧪 EXPERIMENTAL**: Pre-release APIs (v1alpha, v1beta) that may change before - becoming stable. + **🧪 EXPERIMENTAL**: Pre-release APIs (v1alpha, v1beta) that may change before + becoming stable. + version: v1 servers: - - url: http://any-hosted-llama-stack.com +- url: http://any-hosted-llama-stack.com paths: - /v1beta/datasetio/append-rows/{dataset_id}: + /v1alpha/inference/rerank: post: - responses: - '200': - description: OK - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - - DatasetIO - summary: Append rows to a dataset. - description: Append rows to a dataset. - parameters: - - name: dataset_id - in: path - description: >- - The ID of the dataset to append the rows to. - required: true - schema: - type: string + - Inference + summary: Rerank + description: Rerank a list of documents based on their relevance to a query. + operationId: rerank_v1alpha_inference_rerank_post requestBody: content: application/json: schema: - $ref: '#/components/schemas/AppendRowsRequest' + $ref: '#/components/schemas/_inference_rerank_Request' required: true - deprecated: false + responses: + '200': + description: RerankResponse with indices sorted by relevance score (descending). + content: + application/json: + schema: + $ref: '#/components/schemas/RerankResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1beta/datasetio/append-rows/{dataset_id}: + post: + tags: + - Datasetio + summary: Append Rows + description: Append rows to a dataset. + operationId: append_rows_v1beta_datasetio_append_rows__dataset_id__post + requestBody: + content: + application/json: + schema: + items: + additionalProperties: true + type: object + type: array + title: Rows + required: true + responses: + '200': + description: Successful Response + content: + application/json: + schema: {} + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: dataset_id + in: path + required: true + schema: + type: string + description: 'Path parameter: dataset_id' /v1beta/datasetio/iterrows/{dataset_id}: get: + tags: + - Datasetio + summary: Iterrows + description: |- + Get a paginated list of rows from a dataset. + + Uses offset-based pagination where: + - start_index: The starting index (0-based). If None, starts from beginning. + - limit: Number of items to return. If None or -1, returns all items. + + The response includes: + - data: List of items for the current page. + - has_more: Whether there are more items available after this set. + operationId: iterrows_v1beta_datasetio_iterrows__dataset_id__get + parameters: + - name: limit + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + title: Limit + - name: start_index + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + title: Start Index + - name: dataset_id + in: path + required: true + schema: + type: string + description: 'Path parameter: dataset_id' responses: '200': description: A PaginatedResponse. @@ -59,81 +135,23 @@ paths: $ref: '#/components/schemas/PaginatedResponse' '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' - tags: - - DatasetIO - summary: >- - Get a paginated list of rows from a dataset. - description: >- - Get a paginated list of rows from a dataset. - - Uses offset-based pagination where: - - - start_index: The starting index (0-based). If None, starts from beginning. - - - limit: Number of items to return. If None or -1, returns all items. - - - The response includes: - - - data: List of items for the current page. - - - has_more: Whether there are more items available after this set. - parameters: - - name: dataset_id - in: path - description: >- - The ID of the dataset to get the rows from. - required: true - schema: - type: string - - name: start_index - in: query - description: >- - Index into dataset for the first row to get. Get all rows if None. - required: false - schema: - type: integer - - name: limit - in: query - description: The number of rows to get. - required: false - schema: - type: integer - deprecated: false - /v1beta/datasets: + description: Default Response + /v1beta/datasets/{dataset_id}: get: - responses: - '200': - description: A ListDatasetsResponse. - content: - application/json: - schema: - $ref: '#/components/schemas/ListDatasetsResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - - Datasets - summary: List all datasets. - description: List all datasets. - parameters: [] - deprecated: false - post: + - Datasets + summary: Get Dataset + description: Get a dataset by its ID. + operationId: get_dataset_v1beta_datasets__dataset_id__get responses: '200': description: A Dataset. @@ -142,25 +160,92 @@ paths: schema: $ref: '#/components/schemas/Dataset' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' + parameters: + - name: dataset_id + in: path + required: true + schema: + type: string + description: 'Path parameter: dataset_id' + delete: tags: - - Datasets - summary: Register a new dataset. + - Datasets + summary: Unregister Dataset + description: Unregister a dataset by its ID. + operationId: unregister_dataset_v1beta_datasets__dataset_id__delete + responses: + '200': + description: Successful Response + content: + application/json: + schema: {} + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: dataset_id + in: path + required: true + schema: + type: string + description: 'Path parameter: dataset_id' + /v1beta/datasets: + get: + tags: + - Datasets + summary: List Datasets + description: List all datasets. + operationId: list_datasets_v1beta_datasets_get + responses: + '200': + description: A ListDatasetsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListDatasetsResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + post: + tags: + - Datasets + summary: Register Dataset description: Register a new dataset. - parameters: [] + operationId: register_dataset_v1beta_datasets_post requestBody: content: application/json: schema: - $ref: '#/components/schemas/RegisterDatasetRequest' + $ref: '#/components/schemas/_datasets_Request' required: true deprecated: true /v1beta/datasets/{dataset_id}: @@ -173,45 +258,49 @@ paths: schema: $ref: '#/components/schemas/Dataset' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' + /v1alpha/eval/benchmarks/{benchmark_id}/evaluations: + post: tags: - - Datasets - summary: Get a dataset by its ID. - description: Get a dataset by its ID. - parameters: - - name: dataset_id - in: path - description: The ID of the dataset to get. - required: true - schema: - type: string - deprecated: false - delete: + - Eval + summary: Evaluate Rows + description: Evaluate a list of rows on a benchmark. + operationId: evaluate_rows_v1alpha_eval_benchmarks__benchmark_id__evaluations_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_eval_benchmarks_benchmark_id_evaluations_Request' + required: true responses: '200': - description: OK + description: EvaluateResponse object containing generations and scores. + content: + application/json: + schema: + $ref: '#/components/schemas/EvaluateResponse' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - Datasets - summary: Unregister a dataset by its ID. - description: Unregister a dataset by its ID. parameters: - name: dataset_id in: path @@ -222,6 +311,11 @@ paths: deprecated: true /v1alpha/eval/benchmarks: get: + tags: + - Benchmarks + summary: List Benchmarks + description: List all benchmarks. + operationId: list_benchmarks_v1alpha_eval_benchmarks_get responses: '200': description: A ListBenchmarksResponse. @@ -231,40 +325,24 @@ paths: $ref: '#/components/schemas/ListBenchmarksResponse' '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' - tags: - - Benchmarks - summary: List all benchmarks. - description: List all benchmarks. - parameters: [] - deprecated: false + description: Default Response post: - responses: - '200': - description: OK - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - - Benchmarks - summary: Register a benchmark. + - Benchmarks + summary: Register Benchmark description: Register a benchmark. - parameters: [] + operationId: register_benchmark_v1alpha_eval_benchmarks_post requestBody: + required: true content: application/json: schema: @@ -275,19 +353,19 @@ paths: get: responses: '200': - description: A Benchmark. + description: Successful Response content: application/json: - schema: - $ref: '#/components/schemas/Benchmark' + schema: {} '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' tags: @@ -330,227 +408,50 @@ paths: deprecated: true /v1alpha/eval/benchmarks/{benchmark_id}/evaluations: post: - responses: - '200': - description: >- - EvaluateResponse object containing generations and scores. - content: - application/json: - schema: - $ref: '#/components/schemas/EvaluateResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - - Eval - summary: Evaluate a list of rows on a benchmark. - description: Evaluate a list of rows on a benchmark. + - Post Training + summary: Cancel Training Job + description: Cancel a training job. + operationId: cancel_training_job_v1alpha_post_training_job_cancel_post parameters: - - name: benchmark_id - in: path - description: >- - The ID of the benchmark to run the evaluation on. - required: true - schema: - type: string - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/EvaluateRowsRequest' + - name: job_uuid + in: query required: true - deprecated: false - /v1alpha/eval/benchmarks/{benchmark_id}/jobs: - post: + schema: + type: string + title: Job Uuid responses: '200': - description: >- - The job that was created to run the evaluation. + description: Successful Response content: application/json: - schema: - $ref: '#/components/schemas/Job' + schema: {} '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' - tags: - - Eval - summary: Run an evaluation on a benchmark. - description: Run an evaluation on a benchmark. - parameters: - - name: benchmark_id - in: path - description: >- - The ID of the benchmark to run the evaluation on. - required: true - schema: - type: string - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/RunEvalRequest' - required: true - deprecated: false - /v1alpha/eval/benchmarks/{benchmark_id}/jobs/{job_id}: - get: - responses: - '200': - description: The status of the evaluation job. - content: - application/json: - schema: - $ref: '#/components/schemas/Job' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - Eval - summary: Get the status of a job. - description: Get the status of a job. - parameters: - - name: benchmark_id - in: path - description: >- - The ID of the benchmark to run the evaluation on. - required: true - schema: - type: string - - name: job_id - in: path - description: The ID of the job to get the status of. - required: true - schema: - type: string - deprecated: false - delete: - responses: - '200': - description: OK - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - Eval - summary: Cancel a job. - description: Cancel a job. - parameters: - - name: benchmark_id - in: path - description: >- - The ID of the benchmark to run the evaluation on. - required: true - schema: - type: string - - name: job_id - in: path - description: The ID of the job to cancel. - required: true - schema: - type: string - deprecated: false - /v1alpha/eval/benchmarks/{benchmark_id}/jobs/{job_id}/result: - get: - responses: - '200': - description: The result of the job. - content: - application/json: - schema: - $ref: '#/components/schemas/EvaluateResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - Eval - summary: Get the result of a job. - description: Get the result of a job. - parameters: - - name: benchmark_id - in: path - description: >- - The ID of the benchmark to run the evaluation on. - required: true - schema: - type: string - - name: job_id - in: path - description: The ID of the job to get the result of. - required: true - schema: - type: string - deprecated: false - /v1alpha/inference/rerank: - post: - responses: - '200': - description: >- - RerankResponse with indices sorted by relevance score (descending). - content: - application/json: - schema: - $ref: '#/components/schemas/RerankResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - Inference - summary: >- - Rerank a list of documents based on their relevance to a query. - description: >- - Rerank a list of documents based on their relevance to a query. - parameters: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/RerankRequest' - required: true - deprecated: false + description: Default Response /v1alpha/post-training/job/artifacts: get: + tags: + - Post Training + summary: Get Training Job Artifacts + description: Get the artifacts of a training job. + operationId: get_training_job_artifacts_v1alpha_post_training_job_artifacts_get + parameters: + - name: job_uuid + in: query + required: true + schema: + type: string + title: Job Uuid responses: '200': description: A PostTrainingJobArtifactsResponse. @@ -560,56 +461,30 @@ paths: $ref: '#/components/schemas/PostTrainingJobArtifactsResponse' '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' - tags: - - PostTraining (Coming Soon) - summary: Get the artifacts of a training job. - description: Get the artifacts of a training job. - parameters: - - name: job_uuid - in: query - description: >- - The UUID of the job to get the artifacts of. - required: true - schema: - type: string - deprecated: false - /v1alpha/post-training/job/cancel: - post: - responses: - '200': - description: OK - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - PostTraining (Coming Soon) - summary: Cancel a training job. - description: Cancel a training job. - parameters: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/CancelTrainingJobRequest' - required: true - deprecated: false + description: Default Response /v1alpha/post-training/job/status: get: + tags: + - Post Training + summary: Get Training Job Status + description: Get the status of a training job. + operationId: get_training_job_status_v1alpha_post_training_job_status_get + parameters: + - name: job_uuid + in: query + required: true + schema: + type: string + title: Job Uuid responses: '200': description: A PostTrainingJobStatusResponse. @@ -619,29 +494,23 @@ paths: $ref: '#/components/schemas/PostTrainingJobStatusResponse' '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' - tags: - - PostTraining (Coming Soon) - summary: Get the status of a training job. - description: Get the status of a training job. - parameters: - - name: job_uuid - in: query - description: >- - The UUID of the job to get the status of. - required: true - schema: - type: string - deprecated: false + description: Default Response /v1alpha/post-training/jobs: get: + tags: + - Post Training + summary: Get Training Jobs + description: Get all training jobs. + operationId: get_training_jobs_v1alpha_post_training_jobs_get responses: '200': description: A ListPostTrainingJobsResponse. @@ -650,23 +519,30 @@ paths: schema: $ref: '#/components/schemas/ListPostTrainingJobsResponse' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - PostTraining (Coming Soon) - summary: Get all training jobs. - description: Get all training jobs. - parameters: [] - deprecated: false /v1alpha/post-training/preference-optimize: post: + tags: + - Post Training + summary: Preference Optimize + description: Run preference optimization of a model. + operationId: preference_optimize_v1alpha_post_training_preference_optimize_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_post_training_preference_optimize_Request' + required: true responses: '200': description: A PostTrainingJob. @@ -675,29 +551,30 @@ paths: schema: $ref: '#/components/schemas/PostTrainingJob' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - PostTraining (Coming Soon) - summary: Run preference optimization of a model. - description: Run preference optimization of a model. - parameters: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/PreferenceOptimizeRequest' - required: true - deprecated: false /v1alpha/post-training/supervised-fine-tune: post: + tags: + - Post Training + summary: Supervised Fine Tune + description: Run supervised fine-tuning of a model. + operationId: supervised_fine_tune_v1alpha_post_training_supervised_fine_tune_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_post_training_supervised_fine_tune_Request' + required: true responses: '200': description: A PostTrainingJob. @@ -706,29 +583,17 @@ paths: schema: $ref: '#/components/schemas/PostTrainingJob' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - PostTraining (Coming Soon) - summary: Run supervised fine-tuning of a model. - description: Run supervised fine-tuning of a model. - parameters: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/SupervisedFineTuneRequest' - required: true - deprecated: false -jsonSchemaDialect: >- - https://json-schema.org/draft/2020-12/schema components: schemas: Error: @@ -1006,1145 +871,4563 @@ components: AggregationFunctionType: type: string enum: - - average - - weighted_average - - median - - categorical_count - - accuracy + - average + - weighted_average + - median + - categorical_count + - accuracy title: AggregationFunctionType - description: >- - Types of aggregation functions for scoring results. - BasicScoringFnParams: + description: Types of aggregation functions for scoring results. + AllowedToolsFilter: + properties: + tool_names: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: Tool Names type: object + title: AllowedToolsFilter + description: Filter configuration for restricting which MCP tools can be used. + ArrayType: properties: type: - $ref: '#/components/schemas/ScoringFnParamsType' + type: string + const: array + title: Type + default: array + type: object + title: ArrayType + description: Parameter type for array values. + BasicScoringFnParams: + properties: + type: + type: string const: basic + title: Type default: basic - description: >- - The type of scoring function parameters, always basic aggregation_functions: - type: array items: $ref: '#/components/schemas/AggregationFunctionType' - description: >- - Aggregation functions to apply to the scores of each row - additionalProperties: false - required: - - type - - aggregation_functions - title: BasicScoringFnParams - description: >- - Parameters for basic scoring function configuration. - BenchmarkConfig: + type: array + title: Aggregation Functions + description: Aggregation functions to apply to the scores of each row type: object + title: BasicScoringFnParams + description: Parameters for basic scoring function configuration. + Batch: + properties: + id: + type: string + title: Id + completion_window: + type: string + title: Completion Window + created_at: + type: integer + title: Created At + endpoint: + type: string + title: Endpoint + input_file_id: + type: string + title: Input File Id + object: + type: string + const: batch + title: Object + status: + type: string + enum: + - validating + - failed + - in_progress + - finalizing + - completed + - expired + - cancelling + - cancelled + title: Status + cancelled_at: + anyOf: + - type: integer + - type: 'null' + title: Cancelled At + cancelling_at: + anyOf: + - type: integer + - type: 'null' + title: Cancelling At + completed_at: + anyOf: + - type: integer + - type: 'null' + title: Completed At + error_file_id: + anyOf: + - type: string + - type: 'null' + title: Error File Id + errors: + anyOf: + - $ref: '#/components/schemas/Errors' + - type: 'null' + expired_at: + anyOf: + - type: integer + - type: 'null' + title: Expired At + expires_at: + anyOf: + - type: integer + - type: 'null' + title: Expires At + failed_at: + anyOf: + - type: integer + - type: 'null' + title: Failed At + finalizing_at: + anyOf: + - type: integer + - type: 'null' + title: Finalizing At + in_progress_at: + anyOf: + - type: integer + - type: 'null' + title: In Progress At + metadata: + anyOf: + - additionalProperties: + type: string + type: object + - type: 'null' + title: Metadata + model: + anyOf: + - type: string + - type: 'null' + title: Model + output_file_id: + anyOf: + - type: string + - type: 'null' + title: Output File Id + request_counts: + anyOf: + - $ref: '#/components/schemas/BatchRequestCounts' + - type: 'null' + usage: + anyOf: + - $ref: '#/components/schemas/BatchUsage' + - type: 'null' + additionalProperties: true + type: object + required: + - id + - completion_window + - created_at + - endpoint + - input_file_id + - object + - status + title: Batch + BatchError: + properties: + code: + anyOf: + - type: string + - type: 'null' + title: Code + line: + anyOf: + - type: integer + - type: 'null' + title: Line + message: + anyOf: + - type: string + - type: 'null' + title: Message + param: + anyOf: + - type: string + - type: 'null' + title: Param + additionalProperties: true + type: object + title: BatchError + BatchRequestCounts: + properties: + completed: + type: integer + title: Completed + failed: + type: integer + title: Failed + total: + type: integer + title: Total + additionalProperties: true + type: object + required: + - completed + - failed + - total + title: BatchRequestCounts + BatchUsage: + properties: + input_tokens: + type: integer + title: Input Tokens + input_tokens_details: + $ref: '#/components/schemas/InputTokensDetails' + output_tokens: + type: integer + title: Output Tokens + output_tokens_details: + $ref: '#/components/schemas/OutputTokensDetails' + total_tokens: + type: integer + title: Total Tokens + additionalProperties: true + type: object + required: + - input_tokens + - input_tokens_details + - output_tokens + - output_tokens_details + - total_tokens + title: BatchUsage + Benchmark: + properties: + identifier: + type: string + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: + type: string + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: benchmark + title: Type + default: benchmark + dataset_id: + type: string + title: Dataset Id + scoring_functions: + items: + type: string + type: array + title: Scoring Functions + metadata: + additionalProperties: true + type: object + title: Metadata + description: Metadata for this evaluation task + type: object + required: + - identifier + - provider_id + - dataset_id + - scoring_functions + title: Benchmark + description: A benchmark resource for evaluating model performance. + BenchmarkConfig: properties: eval_candidate: $ref: '#/components/schemas/ModelCandidate' - description: The candidate to evaluate. scoring_params: - type: object additionalProperties: - $ref: '#/components/schemas/ScoringFnParams' - description: >- - Map between scoring function id and parameters for each scoring function - you want to run + oneOf: + - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams' + - $ref: '#/components/schemas/RegexParserScoringFnParams' + - $ref: '#/components/schemas/BasicScoringFnParams' + discriminator: + propertyName: type + mapping: + basic: '#/components/schemas/BasicScoringFnParams' + llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams' + regex_parser: '#/components/schemas/RegexParserScoringFnParams' + type: object + title: Scoring Params + description: Map between scoring function id and parameters for each scoring function you want to run num_examples: - type: integer - description: >- - (Optional) The number of examples to evaluate. If not provided, all examples - in the dataset will be evaluated - additionalProperties: false - required: - - eval_candidate - - scoring_params - title: BenchmarkConfig - description: >- - A benchmark configuration for evaluation. - GreedySamplingStrategy: + anyOf: + - type: integer + - type: 'null' + title: Num Examples + description: Number of examples to evaluate (useful for testing), if not provided, all examples in the dataset will be evaluated type: object + required: + - eval_candidate + title: BenchmarkConfig + description: A benchmark configuration for evaluation. + Body_register_benchmark_v1alpha_eval_benchmarks_post: + properties: + scoring_functions: + items: + type: string + type: array + title: Scoring Functions + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + type: object + required: + - scoring_functions + title: Body_register_benchmark_v1alpha_eval_benchmarks_post + BooleanType: + properties: + type: + type: string + const: boolean + title: Type + default: boolean + type: object + title: BooleanType + description: Parameter type for boolean values. + ChatCompletionInputType: + properties: + type: + type: string + const: chat_completion_input + title: Type + default: chat_completion_input + type: object + title: ChatCompletionInputType + description: Parameter type for chat completion input. + Chunk-Output: + properties: + content: + anyOf: + - type: string + - oneOf: + - $ref: '#/components/schemas/ImageContentItem-Output' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Output' + text: '#/components/schemas/TextContentItem' + - items: + oneOf: + - $ref: '#/components/schemas/ImageContentItem-Output' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Output' + text: '#/components/schemas/TextContentItem' + type: array + title: Content + chunk_id: + type: string + title: Chunk Id + metadata: + additionalProperties: true + type: object + title: Metadata + embedding: + anyOf: + - items: + type: number + type: array + - type: 'null' + title: Embedding + chunk_metadata: + anyOf: + - $ref: '#/components/schemas/ChunkMetadata' + - type: 'null' + type: object + required: + - content + - chunk_id + title: Chunk + description: A chunk of content that can be inserted into a vector database. + ChunkMetadata: + properties: + chunk_id: + anyOf: + - type: string + - type: 'null' + title: Chunk Id + document_id: + anyOf: + - type: string + - type: 'null' + title: Document Id + source: + anyOf: + - type: string + - type: 'null' + title: Source + created_timestamp: + anyOf: + - type: integer + - type: 'null' + title: Created Timestamp + updated_timestamp: + anyOf: + - type: integer + - type: 'null' + title: Updated Timestamp + chunk_window: + anyOf: + - type: string + - type: 'null' + title: Chunk Window + chunk_tokenizer: + anyOf: + - type: string + - type: 'null' + title: Chunk Tokenizer + chunk_embedding_model: + anyOf: + - type: string + - type: 'null' + title: Chunk Embedding Model + chunk_embedding_dimension: + anyOf: + - type: integer + - type: 'null' + title: Chunk Embedding Dimension + content_token_count: + anyOf: + - type: integer + - type: 'null' + title: Content Token Count + metadata_token_count: + anyOf: + - type: integer + - type: 'null' + title: Metadata Token Count + type: object + title: ChunkMetadata + description: |- + `ChunkMetadata` is backend metadata for a `Chunk` that is used to store additional information about the chunk that + will not be used in the context during inference, but is required for backend functionality. The `ChunkMetadata` + is set during chunk creation in `MemoryToolRuntimeImpl().insert()`and is not expected to change after. + Use `Chunk.metadata` for metadata that will be used in the context during inference. + CompletionInputType: + properties: + type: + type: string + const: completion_input + title: Type + default: completion_input + type: object + title: CompletionInputType + description: Parameter type for completion input. + Conversation: + properties: + id: + type: string + title: Id + description: The unique ID of the conversation. + object: + type: string + const: conversation + title: Object + description: The object type, which is always conversation. + default: conversation + created_at: + type: integer + title: Created At + description: The time at which the conversation was created, measured in seconds since the Unix epoch. + metadata: + anyOf: + - additionalProperties: + type: string + type: object + - type: 'null' + title: Metadata + description: Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard. + items: + anyOf: + - items: + additionalProperties: true + type: object + type: array + - type: 'null' + title: Items + description: Initial items to include in the conversation context. You may add up to 20 items at a time. + type: object + required: + - id + - created_at + title: Conversation + description: OpenAI-compatible conversation object. + ConversationDeletedResource: + properties: + id: + type: string + title: Id + description: The deleted conversation identifier + object: + type: string + title: Object + description: Object type + default: conversation.deleted + deleted: + type: boolean + title: Deleted + description: Whether the object was deleted + default: true + type: object + required: + - id + title: ConversationDeletedResource + description: Response for deleted conversation. + ConversationItemDeletedResource: + properties: + id: + type: string + title: Id + description: The deleted item identifier + object: + type: string + title: Object + description: Object type + default: conversation.item.deleted + deleted: + type: boolean + title: Deleted + description: Whether the object was deleted + default: true + type: object + required: + - id + title: ConversationItemDeletedResource + description: Response for deleted conversation item. + ConversationItemList: + properties: + object: + type: string + title: Object + description: Object type + default: list + data: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage-Output' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + discriminator: + propertyName: type + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + function_call_output: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_approval_response: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage-Output' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + type: array + title: Data + description: List of conversation items + first_id: + anyOf: + - type: string + - type: 'null' + title: First Id + description: The ID of the first item in the list + last_id: + anyOf: + - type: string + - type: 'null' + title: Last Id + description: The ID of the last item in the list + has_more: + type: boolean + title: Has More + description: Whether there are more items available + default: false + type: object + required: + - data + title: ConversationItemList + description: List of conversation items with pagination. + DPOAlignmentConfig: + properties: + beta: + type: number + title: Beta + loss_type: + $ref: '#/components/schemas/DPOLossType' + default: sigmoid + type: object + required: + - beta + title: DPOAlignmentConfig + description: Configuration for Direct Preference Optimization (DPO) alignment. + DPOLossType: + type: string + enum: + - sigmoid + - hinge + - ipo + - kto_pair + title: DPOLossType + DataConfig: + properties: + dataset_id: + type: string + title: Dataset Id + batch_size: + type: integer + title: Batch Size + shuffle: + type: boolean + title: Shuffle + data_format: + $ref: '#/components/schemas/DatasetFormat' + validation_dataset_id: + anyOf: + - type: string + - type: 'null' + title: Validation Dataset Id + packed: + anyOf: + - type: boolean + - type: 'null' + title: Packed + default: false + train_on_input: + anyOf: + - type: boolean + - type: 'null' + title: Train On Input + default: false + type: object + required: + - dataset_id + - batch_size + - shuffle + - data_format + title: DataConfig + description: Configuration for training data and data loading. + Dataset: + properties: + identifier: + type: string + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: + type: string + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: dataset + title: Type + default: dataset + purpose: + $ref: '#/components/schemas/DatasetPurpose' + source: + oneOf: + - $ref: '#/components/schemas/URIDataSource' + - $ref: '#/components/schemas/RowsDataSource' + title: Source + discriminator: + propertyName: type + mapping: + rows: '#/components/schemas/RowsDataSource' + uri: '#/components/schemas/URIDataSource' + metadata: + additionalProperties: true + type: object + title: Metadata + description: Any additional metadata for this dataset + type: object + required: + - identifier + - provider_id + - purpose + - source + title: Dataset + description: Dataset resource for storing and accessing training or evaluation data. + DatasetFormat: + type: string + enum: + - instruct + - dialog + title: DatasetFormat + description: Format of the training dataset. + DatasetPurpose: + type: string + enum: + - post-training/messages + - eval/question-answer + - eval/messages-answer + title: DatasetPurpose + description: Purpose of the dataset. Each purpose has a required input data schema. + EfficiencyConfig: + properties: + enable_activation_checkpointing: + anyOf: + - type: boolean + - type: 'null' + title: Enable Activation Checkpointing + default: false + enable_activation_offloading: + anyOf: + - type: boolean + - type: 'null' + title: Enable Activation Offloading + default: false + memory_efficient_fsdp_wrap: + anyOf: + - type: boolean + - type: 'null' + title: Memory Efficient Fsdp Wrap + default: false + fsdp_cpu_offload: + anyOf: + - type: boolean + - type: 'null' + title: Fsdp Cpu Offload + default: false + type: object + title: EfficiencyConfig + description: Configuration for memory and compute efficiency optimizations. + Errors: + properties: + data: + anyOf: + - items: + $ref: '#/components/schemas/BatchError' + type: array + - type: 'null' + title: Data + object: + anyOf: + - type: string + - type: 'null' + title: Object + additionalProperties: true + type: object + title: Errors + EvaluateResponse: + properties: + generations: + items: + additionalProperties: true + type: object + type: array + title: Generations + scores: + additionalProperties: + $ref: '#/components/schemas/ScoringResult' + type: object + title: Scores + type: object + required: + - generations + - scores + title: EvaluateResponse + description: The response from an evaluation. + ExpiresAfter: + properties: + anchor: + type: string + const: created_at + title: Anchor + seconds: + type: integer + maximum: 2592000.0 + minimum: 3600.0 + title: Seconds + type: object + required: + - anchor + - seconds + title: ExpiresAfter + description: |- + Control expiration of uploaded files. + + Params: + - anchor, must be "created_at" + - seconds, must be int between 3600 and 2592000 (1 hour to 30 days) + GreedySamplingStrategy: properties: type: type: string const: greedy + title: Type default: greedy - description: >- - Must be "greedy" to identify this sampling strategy - additionalProperties: false - required: - - type - title: GreedySamplingStrategy - description: >- - Greedy sampling strategy that selects the highest probability token at each - step. - ImageContentItem: type: object + title: GreedySamplingStrategy + description: Greedy sampling strategy that selects the highest probability token at each step. + HealthInfo: + properties: + status: + $ref: '#/components/schemas/HealthStatus' + type: object + required: + - status + title: HealthInfo + description: Health status information for the service. + HealthStatus: + type: string + enum: + - OK + - Error + - Not Implemented + title: HealthStatus + ImageContentItem-Input: properties: type: type: string const: image + title: Type default: image - description: >- - Discriminator type of the content item. Always "image" image: - type: object - properties: - url: - $ref: '#/components/schemas/URL' - description: >- - A URL of the image or data URL in the format of data:image/{type};base64,{data}. - Note that URL could have length limits. - data: - type: string - contentEncoding: base64 - description: base64 encoded image data as string - additionalProperties: false - description: >- - Image as a base64 encoded string or an URL - additionalProperties: false + $ref: '#/components/schemas/_URLOrData' + type: object required: - - type - - image + - image title: ImageContentItem description: A image content item - InterleavedContent: - oneOf: - - type: string - - $ref: '#/components/schemas/InterleavedContentItem' - - type: array - items: - $ref: '#/components/schemas/InterleavedContentItem' - InterleavedContentItem: - oneOf: - - $ref: '#/components/schemas/ImageContentItem' - - $ref: '#/components/schemas/TextContentItem' - discriminator: - propertyName: type - mapping: - image: '#/components/schemas/ImageContentItem' - text: '#/components/schemas/TextContentItem' - LLMAsJudgeScoringFnParams: - type: object - properties: - type: - $ref: '#/components/schemas/ScoringFnParamsType' - const: llm_as_judge - default: llm_as_judge - description: >- - The type of scoring function parameters, always llm_as_judge - judge_model: - type: string - description: >- - Identifier of the LLM model to use as a judge for scoring - prompt_template: - type: string - description: >- - (Optional) Custom prompt template for the judge model - judge_score_regexes: - type: array - items: - type: string - description: >- - Regexes to extract the answer from generated response - aggregation_functions: - type: array - items: - $ref: '#/components/schemas/AggregationFunctionType' - description: >- - Aggregation functions to apply to the scores of each row - additionalProperties: false - required: - - type - - judge_model - - judge_score_regexes - - aggregation_functions - title: LLMAsJudgeScoringFnParams - description: >- - Parameters for LLM-as-judge scoring function configuration. - ModelCandidate: - type: object + ImageContentItem-Output: properties: type: type: string - const: model - default: model - model: - type: string - description: The model ID to evaluate. - sampling_params: - $ref: '#/components/schemas/SamplingParams' - description: The sampling parameters for the model. - system_message: - $ref: '#/components/schemas/SystemMessage' - description: >- - (Optional) The system message providing instructions or context to the - model. - additionalProperties: false - required: - - type - - model - - sampling_params - title: ModelCandidate - description: A model candidate for evaluation. - RegexParserScoringFnParams: + const: image + title: Type + default: image + image: + $ref: '#/components/schemas/_URLOrData' type: object - properties: - type: - $ref: '#/components/schemas/ScoringFnParamsType' - const: regex_parser - default: regex_parser - description: >- - The type of scoring function parameters, always regex_parser - parsing_regexes: - type: array - items: - type: string - description: >- - Regex to extract the answer from generated response - aggregation_functions: - type: array - items: - $ref: '#/components/schemas/AggregationFunctionType' - description: >- - Aggregation functions to apply to the scores of each row - additionalProperties: false required: - - type - - parsing_regexes - - aggregation_functions - title: RegexParserScoringFnParams - description: >- - Parameters for regex parser scoring function configuration. - SamplingParams: - type: object + - image + title: ImageContentItem + description: A image content item + InputTokensDetails: properties: - strategy: - oneOf: - - $ref: '#/components/schemas/GreedySamplingStrategy' - - $ref: '#/components/schemas/TopPSamplingStrategy' - - $ref: '#/components/schemas/TopKSamplingStrategy' - discriminator: - propertyName: type - mapping: - greedy: '#/components/schemas/GreedySamplingStrategy' - top_p: '#/components/schemas/TopPSamplingStrategy' - top_k: '#/components/schemas/TopKSamplingStrategy' - description: The sampling strategy. - max_tokens: + cached_tokens: type: integer - description: >- - The maximum number of tokens that can be generated in the completion. - The token count of your prompt plus max_tokens cannot exceed the model's - context length. - repetition_penalty: - type: number - default: 1.0 - description: >- - Number between -2.0 and 2.0. Positive values penalize new tokens based - on whether they appear in the text so far, increasing the model's likelihood - to talk about new topics. - stop: - type: array - items: - type: string - description: >- - Up to 4 sequences where the API will stop generating further tokens. The - returned text will not contain the stop sequence. - additionalProperties: false - required: - - strategy - title: SamplingParams - description: Sampling parameters. - ScoringFnParams: - oneOf: - - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams' - - $ref: '#/components/schemas/RegexParserScoringFnParams' - - $ref: '#/components/schemas/BasicScoringFnParams' - discriminator: - propertyName: type - mapping: - llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams' - regex_parser: '#/components/schemas/RegexParserScoringFnParams' - basic: '#/components/schemas/BasicScoringFnParams' - ScoringFnParamsType: - type: string - enum: - - llm_as_judge - - regex_parser - - basic - title: ScoringFnParamsType - description: >- - Types of scoring function parameter configurations. - SystemMessage: + title: Cached Tokens + additionalProperties: true type: object - properties: - role: - type: string - const: system - default: system - description: >- - Must be "system" to identify this as a system message - content: - $ref: '#/components/schemas/InterleavedContent' - description: >- - The content of the "system prompt". If multiple system messages are provided, - they are concatenated. The underlying Llama Stack code may also add other - system messages (for example, for formatting tool definitions). - additionalProperties: false required: - - role - - content - title: SystemMessage - description: >- - A system message providing instructions or context to the model. - TextContentItem: - type: object - properties: - type: - type: string - const: text - default: text - description: >- - Discriminator type of the content item. Always "text" - text: - type: string - description: Text content - additionalProperties: false - required: - - type - - text - title: TextContentItem - description: A text content item - TopKSamplingStrategy: - type: object - properties: - type: - type: string - const: top_k - default: top_k - description: >- - Must be "top_k" to identify this sampling strategy - top_k: - type: integer - description: >- - Number of top tokens to consider for sampling. Must be at least 1 - additionalProperties: false - required: - - type - - top_k - title: TopKSamplingStrategy - description: >- - Top-k sampling strategy that restricts sampling to the k most likely tokens. - TopPSamplingStrategy: - type: object - properties: - type: - type: string - const: top_p - default: top_p - description: >- - Must be "top_p" to identify this sampling strategy - temperature: - type: number - description: >- - Controls randomness in sampling. Higher values increase randomness - top_p: - type: number - default: 0.95 - description: >- - Cumulative probability threshold for nucleus sampling. Defaults to 0.95 - additionalProperties: false - required: - - type - title: TopPSamplingStrategy - description: >- - Top-p (nucleus) sampling strategy that samples from the smallest set of tokens - with cumulative probability >= p. - URL: - type: object - properties: - uri: - type: string - description: The URL string pointing to the resource - additionalProperties: false - required: - - uri - title: URL - description: A URL reference to external content. - EvaluateRowsRequest: - type: object - properties: - input_rows: - type: array - items: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: The rows to evaluate. - scoring_functions: - type: array - items: - type: string - description: >- - The scoring functions to use for the evaluation. - benchmark_config: - $ref: '#/components/schemas/BenchmarkConfig' - description: The configuration for the benchmark. - additionalProperties: false - required: - - input_rows - - scoring_functions - - benchmark_config - title: EvaluateRowsRequest - EvaluateResponse: - type: object - properties: - generations: - type: array - items: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: The generations from the evaluation. - scores: - type: object - additionalProperties: - $ref: '#/components/schemas/ScoringResult' - description: The scores from the evaluation. - additionalProperties: false - required: - - generations - - scores - title: EvaluateResponse - description: The response from an evaluation. - ScoringResult: - type: object - properties: - score_rows: - type: array - items: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: >- - The scoring result for each row. Each row is a map of column name to value. - aggregated_results: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: Map of metric name to aggregated value - additionalProperties: false - required: - - score_rows - - aggregated_results - title: ScoringResult - description: A scoring result for a single row. - RunEvalRequest: - type: object - properties: - benchmark_config: - $ref: '#/components/schemas/BenchmarkConfig' - description: The configuration for the benchmark. - additionalProperties: false - required: - - benchmark_config - title: RunEvalRequest + - cached_tokens + title: InputTokensDetails Job: - type: object properties: job_id: type: string - description: Unique identifier for the job + title: Job Id status: - type: string - enum: - - completed - - in_progress - - failed - - scheduled - - cancelled - description: Current execution status of the job - additionalProperties: false + $ref: '#/components/schemas/JobStatus' + type: object required: - - job_id - - status + - job_id + - status title: Job - description: >- - A job execution instance with status tracking. - "OpenAIChatCompletionContentPartImageParam": - type: object + description: A job execution instance with status tracking. + JobStatus: + type: string + enum: + - completed + - in_progress + - failed + - scheduled + - cancelled + title: JobStatus + description: Status of a job execution. + JsonType: properties: type: type: string - const: image_url - default: image_url - description: >- - Must be "image_url" to identify this as image content - image_url: - $ref: '#/components/schemas/OpenAIImageURL' - description: >- - Image URL specification and processing details - additionalProperties: false - required: - - type - - image_url - title: >- - OpenAIChatCompletionContentPartImageParam - description: >- - Image content part for OpenAI-compatible chat completion messages. - OpenAIChatCompletionContentPartTextParam: + const: json + title: Type + default: json type: object + title: JsonType + description: Parameter type for JSON values. + LLMAsJudgeScoringFnParams: properties: type: type: string - const: text - default: text - description: >- - Must be "text" to identify this as text content - text: + const: llm_as_judge + title: Type + default: llm_as_judge + judge_model: type: string - description: The text content of the message - additionalProperties: false - required: - - type - - text - title: OpenAIChatCompletionContentPartTextParam - description: >- - Text content part for OpenAI-compatible chat completion messages. - OpenAIImageURL: - type: object - properties: - url: - type: string - description: >- - URL of the image to include in the message - detail: - type: string - description: >- - (Optional) Level of detail for image processing. Can be "low", "high", - or "auto" - additionalProperties: false - required: - - url - title: OpenAIImageURL - description: >- - Image URL specification for OpenAI-compatible chat completion messages. - RerankRequest: - type: object - properties: - model: - type: string - description: >- - The identifier of the reranking model to use. - query: - oneOf: - - type: string - - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' - - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' - description: >- - The search query to rank items against. Can be a string, text content - part, or image content part. The input must not exceed the model's max - input token length. - items: - type: array + title: Judge Model + prompt_template: + anyOf: + - type: string + - type: 'null' + title: Prompt Template + judge_score_regexes: items: - oneOf: - - type: string - - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' - - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' - description: >- - List of items to rerank. Each item can be a string, text content part, - or image content part. Each input must not exceed the model's max input - token length. - max_num_results: - type: integer - description: >- - (Optional) Maximum number of results to return. Default: returns all. - additionalProperties: false - required: - - model - - query - - items - title: RerankRequest - RerankData: + type: string + type: array + title: Judge Score Regexes + description: Regexes to extract the answer from generated response + aggregation_functions: + items: + $ref: '#/components/schemas/AggregationFunctionType' + type: array + title: Aggregation Functions + description: Aggregation functions to apply to the scores of each row type: object - properties: - index: - type: integer - description: >- - The original index of the document in the input list - relevance_score: - type: number - description: >- - The relevance score from the model output. Values are inverted when applicable - so that higher scores indicate greater relevance. - additionalProperties: false required: - - index - - relevance_score - title: RerankData - description: >- - A single rerank result from a reranking response. - RerankResponse: - type: object + - judge_model + title: LLMAsJudgeScoringFnParams + description: Parameters for LLM-as-judge scoring function configuration. + ListBenchmarksResponse: properties: data: - type: array items: - $ref: '#/components/schemas/RerankData' - description: >- - List of rerank result objects, sorted by relevance score (descending) - additionalProperties: false - required: - - data - title: RerankResponse - description: Response from a reranking request. - Checkpoint: - type: object - properties: - identifier: - type: string - description: Unique identifier for the checkpoint - created_at: - type: string - format: date-time - description: >- - Timestamp when the checkpoint was created - epoch: - type: integer - description: >- - Training epoch when the checkpoint was saved - post_training_job_id: - type: string - description: >- - Identifier of the training job that created this checkpoint - path: - type: string - description: >- - File system path where the checkpoint is stored - training_metrics: - $ref: '#/components/schemas/PostTrainingMetric' - description: >- - (Optional) Training metrics associated with this checkpoint - additionalProperties: false - required: - - identifier - - created_at - - epoch - - post_training_job_id - - path - title: Checkpoint - description: Checkpoint created during training runs. - PostTrainingJobArtifactsResponse: - type: object - properties: - job_uuid: - type: string - description: Unique identifier for the training job - checkpoints: + $ref: '#/components/schemas/Benchmark' type: array + title: Data + type: object + required: + - data + title: ListBenchmarksResponse + ListDatasetsResponse: + properties: + data: items: - $ref: '#/components/schemas/Checkpoint' - description: >- - List of model checkpoints created during training - additionalProperties: false - required: - - job_uuid - - checkpoints - title: PostTrainingJobArtifactsResponse - description: Artifacts of a finetuning job. - PostTrainingMetric: - type: object - properties: - epoch: - type: integer - description: Training epoch number - train_loss: - type: number - description: Loss value on the training dataset - validation_loss: - type: number - description: Loss value on the validation dataset - perplexity: - type: number - description: >- - Perplexity metric indicating model confidence - additionalProperties: false - required: - - epoch - - train_loss - - validation_loss - - perplexity - title: PostTrainingMetric - description: >- - Training metrics captured during post-training jobs. - CancelTrainingJobRequest: - type: object - properties: - job_uuid: - type: string - description: The UUID of the job to cancel. - additionalProperties: false - required: - - job_uuid - title: CancelTrainingJobRequest - PostTrainingJobStatusResponse: - type: object - properties: - job_uuid: - type: string - description: Unique identifier for the training job - status: - type: string - enum: - - completed - - in_progress - - failed - - scheduled - - cancelled - description: Current status of the training job - scheduled_at: - type: string - format: date-time - description: >- - (Optional) Timestamp when the job was scheduled - started_at: - type: string - format: date-time - description: >- - (Optional) Timestamp when the job execution began - completed_at: - type: string - format: date-time - description: >- - (Optional) Timestamp when the job finished, if completed - resources_allocated: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: >- - (Optional) Information about computational resources allocated to the - job - checkpoints: + $ref: '#/components/schemas/Dataset' type: array - items: - $ref: '#/components/schemas/Checkpoint' - description: >- - List of model checkpoints created during training - additionalProperties: false + title: Data + type: object required: - - job_uuid - - status - - checkpoints - title: PostTrainingJobStatusResponse - description: Status of a finetuning job. + - data + title: ListDatasetsResponse + description: Response from listing datasets. ListPostTrainingJobsResponse: - type: object properties: data: - type: array items: - type: object - properties: - job_uuid: - type: string - additionalProperties: false - required: - - job_uuid - title: PostTrainingJob - additionalProperties: false + $ref: '#/components/schemas/PostTrainingJob' + type: array + title: Data + type: object required: - - data + - data title: ListPostTrainingJobsResponse - DPOAlignmentConfig: - type: object - properties: - beta: - type: number - description: Temperature parameter for the DPO loss - loss_type: - $ref: '#/components/schemas/DPOLossType' - default: sigmoid - description: The type of loss function to use for DPO - additionalProperties: false - required: - - beta - - loss_type - title: DPOAlignmentConfig - description: >- - Configuration for Direct Preference Optimization (DPO) alignment. - DPOLossType: - type: string - enum: - - sigmoid - - hinge - - ipo - - kto_pair - title: DPOLossType - DataConfig: - type: object - properties: - dataset_id: - type: string - description: >- - Unique identifier for the training dataset - batch_size: - type: integer - description: Number of samples per training batch - shuffle: - type: boolean - description: >- - Whether to shuffle the dataset during training - data_format: - $ref: '#/components/schemas/DatasetFormat' - description: >- - Format of the dataset (instruct or dialog) - validation_dataset_id: - type: string - description: >- - (Optional) Unique identifier for the validation dataset - packed: - type: boolean - default: false - description: >- - (Optional) Whether to pack multiple samples into a single sequence for - efficiency - train_on_input: - type: boolean - default: false - description: >- - (Optional) Whether to compute loss on input tokens as well as output tokens - additionalProperties: false - required: - - dataset_id - - batch_size - - shuffle - - data_format - title: DataConfig - description: >- - Configuration for training data and data loading. - DatasetFormat: - type: string - enum: - - instruct - - dialog - title: DatasetFormat - description: Format of the training dataset. - EfficiencyConfig: - type: object - properties: - enable_activation_checkpointing: - type: boolean - default: false - description: >- - (Optional) Whether to use activation checkpointing to reduce memory usage - enable_activation_offloading: - type: boolean - default: false - description: >- - (Optional) Whether to offload activations to CPU to save GPU memory - memory_efficient_fsdp_wrap: - type: boolean - default: false - description: >- - (Optional) Whether to use memory-efficient FSDP wrapping - fsdp_cpu_offload: - type: boolean - default: false - description: >- - (Optional) Whether to offload FSDP parameters to CPU - additionalProperties: false - title: EfficiencyConfig - description: >- - Configuration for memory and compute efficiency optimizations. - OptimizerConfig: - type: object - properties: - optimizer_type: - $ref: '#/components/schemas/OptimizerType' - description: >- - Type of optimizer to use (adam, adamw, or sgd) - lr: - type: number - description: Learning rate for the optimizer - weight_decay: - type: number - description: >- - Weight decay coefficient for regularization - num_warmup_steps: - type: integer - description: Number of steps for learning rate warmup - additionalProperties: false - required: - - optimizer_type - - lr - - weight_decay - - num_warmup_steps - title: OptimizerConfig - description: >- - Configuration parameters for the optimization algorithm. - OptimizerType: - type: string - enum: - - adam - - adamw - - sgd - title: OptimizerType - description: >- - Available optimizer algorithms for training. - TrainingConfig: - type: object - properties: - n_epochs: - type: integer - description: Number of training epochs to run - max_steps_per_epoch: - type: integer - default: 1 - description: Maximum number of steps to run per epoch - gradient_accumulation_steps: - type: integer - default: 1 - description: >- - Number of steps to accumulate gradients before updating - max_validation_steps: - type: integer - default: 1 - description: >- - (Optional) Maximum number of validation steps per epoch - data_config: - $ref: '#/components/schemas/DataConfig' - description: >- - (Optional) Configuration for data loading and formatting - optimizer_config: - $ref: '#/components/schemas/OptimizerConfig' - description: >- - (Optional) Configuration for the optimization algorithm - efficiency_config: - $ref: '#/components/schemas/EfficiencyConfig' - description: >- - (Optional) Configuration for memory and compute optimizations - dtype: - type: string - default: bf16 - description: >- - (Optional) Data type for model parameters (bf16, fp16, fp32) - additionalProperties: false - required: - - n_epochs - - max_steps_per_epoch - - gradient_accumulation_steps - title: TrainingConfig - description: >- - Comprehensive configuration for the training process. - PreferenceOptimizeRequest: - type: object - properties: - job_uuid: - type: string - description: The UUID of the job to create. - finetuned_model: - type: string - description: The model to fine-tune. - algorithm_config: - $ref: '#/components/schemas/DPOAlignmentConfig' - description: The algorithm configuration. - training_config: - $ref: '#/components/schemas/TrainingConfig' - description: The training configuration. - hyperparam_search_config: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: The hyperparam search configuration. - logger_config: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: The logger configuration. - additionalProperties: false - required: - - job_uuid - - finetuned_model - - algorithm_config - - training_config - - hyperparam_search_config - - logger_config - title: PreferenceOptimizeRequest - PostTrainingJob: - type: object - properties: - job_uuid: - type: string - additionalProperties: false - required: - - job_uuid - title: PostTrainingJob - AlgorithmConfig: - oneOf: - - $ref: '#/components/schemas/LoraFinetuningConfig' - - $ref: '#/components/schemas/QATFinetuningConfig' - discriminator: - propertyName: type - mapping: - LoRA: '#/components/schemas/LoraFinetuningConfig' - QAT: '#/components/schemas/QATFinetuningConfig' LoraFinetuningConfig: - type: object properties: type: type: string const: LoRA + title: Type default: LoRA - description: Algorithm type identifier, always "LoRA" lora_attn_modules: - type: array items: type: string - description: >- - List of attention module names to apply LoRA to + type: array + title: Lora Attn Modules apply_lora_to_mlp: type: boolean - description: Whether to apply LoRA to MLP layers + title: Apply Lora To Mlp apply_lora_to_output: type: boolean - description: >- - Whether to apply LoRA to output projection layers + title: Apply Lora To Output rank: type: integer - description: >- - Rank of the LoRA adaptation (lower rank = fewer parameters) + title: Rank alpha: type: integer - description: >- - LoRA scaling parameter that controls adaptation strength + title: Alpha use_dora: - type: boolean + anyOf: + - type: boolean + - type: 'null' + title: Use Dora default: false - description: >- - (Optional) Whether to use DoRA (Weight-Decomposed Low-Rank Adaptation) quantize_base: - type: boolean + anyOf: + - type: boolean + - type: 'null' + title: Quantize Base default: false - description: >- - (Optional) Whether to quantize the base model weights - additionalProperties: false - required: - - type - - lora_attn_modules - - apply_lora_to_mlp - - apply_lora_to_output - - rank - - alpha - title: LoraFinetuningConfig - description: >- - Configuration for Low-Rank Adaptation (LoRA) fine-tuning. - QATFinetuningConfig: type: object + required: + - lora_attn_modules + - apply_lora_to_mlp + - apply_lora_to_output + - rank + - alpha + title: LoraFinetuningConfig + description: Configuration for Low-Rank Adaptation (LoRA) fine-tuning. + MCPListToolsTool: + properties: + input_schema: + additionalProperties: true + type: object + title: Input Schema + name: + type: string + title: Name + description: + anyOf: + - type: string + - type: 'null' + title: Description + type: object + required: + - input_schema + - name + title: MCPListToolsTool + description: Tool definition returned by MCP list tools operation. + Model: + properties: + identifier: + type: string + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: + type: string + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: model + title: Type + default: model + metadata: + additionalProperties: true + type: object + title: Metadata + description: Any additional metadata for this model + model_type: + $ref: '#/components/schemas/ModelType' + default: llm + type: object + required: + - identifier + - provider_id + title: Model + description: A model resource representing an AI model registered in Llama Stack. + ModelCandidate: + properties: + type: + type: string + const: model + title: Type + default: model + model: + type: string + title: Model + sampling_params: + $ref: '#/components/schemas/SamplingParams' + system_message: + anyOf: + - $ref: '#/components/schemas/SystemMessage' + - type: 'null' + type: object + required: + - model + - sampling_params + title: ModelCandidate + description: A model candidate for evaluation. + ModelType: + type: string + enum: + - llm + - embedding + - rerank + title: ModelType + description: Enumeration of supported model types in Llama Stack. + ModerationObject: + properties: + id: + type: string + title: Id + model: + type: string + title: Model + results: + items: + $ref: '#/components/schemas/ModerationObjectResults' + type: array + title: Results + type: object + required: + - id + - model + - results + title: ModerationObject + description: A moderation object. + ModerationObjectResults: + properties: + flagged: + type: boolean + title: Flagged + categories: + anyOf: + - additionalProperties: + type: boolean + type: object + - type: 'null' + title: Categories + category_applied_input_types: + anyOf: + - additionalProperties: + items: + type: string + type: array + type: object + - type: 'null' + title: Category Applied Input Types + category_scores: + anyOf: + - additionalProperties: + type: number + type: object + - type: 'null' + title: Category Scores + user_message: + anyOf: + - type: string + - type: 'null' + title: User Message + metadata: + additionalProperties: true + type: object + title: Metadata + type: object + required: + - flagged + title: ModerationObjectResults + description: A moderation object. + NumberType: + properties: + type: + type: string + const: number + title: Type + default: number + type: object + title: NumberType + description: Parameter type for numeric values. + ObjectType: + properties: + type: + type: string + const: object + title: Type + default: object + type: object + title: ObjectType + description: Parameter type for object values. + OpenAIAssistantMessageParam-Input: + properties: + role: + type: string + const: assistant + title: Role + default: assistant + content: + anyOf: + - type: string + - items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + - type: 'null' + title: Content + name: + anyOf: + - type: string + - type: 'null' + title: Name + tool_calls: + anyOf: + - items: + $ref: '#/components/schemas/OpenAIChatCompletionToolCall' + type: array + - type: 'null' + title: Tool Calls + type: object + title: OpenAIAssistantMessageParam + description: A message containing the model's (assistant) response in an OpenAI-compatible chat completion request. + OpenAIAssistantMessageParam-Output: + properties: + role: + type: string + const: assistant + title: Role + default: assistant + content: + anyOf: + - type: string + - items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + - type: 'null' + title: Content + name: + anyOf: + - type: string + - type: 'null' + title: Name + tool_calls: + anyOf: + - items: + $ref: '#/components/schemas/OpenAIChatCompletionToolCall' + type: array + - type: 'null' + title: Tool Calls + type: object + title: OpenAIAssistantMessageParam + description: A message containing the model's (assistant) response in an OpenAI-compatible chat completion request. + OpenAIChatCompletion: + properties: + id: + type: string + title: Id + choices: + items: + $ref: '#/components/schemas/OpenAIChoice-Output' + type: array + title: Choices + object: + type: string + const: chat.completion + title: Object + default: chat.completion + created: + type: integer + title: Created + model: + type: string + title: Model + usage: + anyOf: + - $ref: '#/components/schemas/OpenAIChatCompletionUsage' + - type: 'null' + type: object + required: + - id + - choices + - created + - model + title: OpenAIChatCompletion + description: Response from an OpenAI-compatible chat completion request. + OpenAIChatCompletionContentPartImageParam: + properties: + type: + type: string + const: image_url + title: Type + default: image_url + image_url: + $ref: '#/components/schemas/OpenAIImageURL' + type: object + required: + - image_url + title: OpenAIChatCompletionContentPartImageParam + description: Image content part for OpenAI-compatible chat completion messages. + OpenAIChatCompletionContentPartTextParam: + properties: + type: + type: string + const: text + title: Type + default: text + text: + type: string + title: Text + type: object + required: + - text + title: OpenAIChatCompletionContentPartTextParam + description: Text content part for OpenAI-compatible chat completion messages. + OpenAIChatCompletionRequestWithExtraBody: + properties: + model: + type: string + title: Model + messages: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIUserMessageParam-Input' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam-Input' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + discriminator: + propertyName: role + mapping: + assistant: '#/components/schemas/OpenAIAssistantMessageParam-Input' + developer: '#/components/schemas/OpenAIDeveloperMessageParam' + system: '#/components/schemas/OpenAISystemMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + user: '#/components/schemas/OpenAIUserMessageParam-Input' + type: array + minItems: 1 + title: Messages + frequency_penalty: + anyOf: + - type: number + - type: 'null' + title: Frequency Penalty + function_call: + anyOf: + - type: string + - additionalProperties: true + type: object + - type: 'null' + title: Function Call + functions: + anyOf: + - items: + additionalProperties: true + type: object + type: array + - type: 'null' + title: Functions + logit_bias: + anyOf: + - additionalProperties: + type: number + type: object + - type: 'null' + title: Logit Bias + logprobs: + anyOf: + - type: boolean + - type: 'null' + title: Logprobs + max_completion_tokens: + anyOf: + - type: integer + - type: 'null' + title: Max Completion Tokens + max_tokens: + anyOf: + - type: integer + - type: 'null' + title: Max Tokens + n: + anyOf: + - type: integer + - type: 'null' + title: N + parallel_tool_calls: + anyOf: + - type: boolean + - type: 'null' + title: Parallel Tool Calls + presence_penalty: + anyOf: + - type: number + - type: 'null' + title: Presence Penalty + response_format: + anyOf: + - oneOf: + - $ref: '#/components/schemas/OpenAIResponseFormatText' + - $ref: '#/components/schemas/OpenAIResponseFormatJSONSchema' + - $ref: '#/components/schemas/OpenAIResponseFormatJSONObject' + discriminator: + propertyName: type + mapping: + json_object: '#/components/schemas/OpenAIResponseFormatJSONObject' + json_schema: '#/components/schemas/OpenAIResponseFormatJSONSchema' + text: '#/components/schemas/OpenAIResponseFormatText' + - type: 'null' + title: Response Format + seed: + anyOf: + - type: integer + - type: 'null' + title: Seed + stop: + anyOf: + - type: string + - items: + type: string + type: array + - type: 'null' + title: Stop + stream: + anyOf: + - type: boolean + - type: 'null' + title: Stream + stream_options: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Stream Options + temperature: + anyOf: + - type: number + - type: 'null' + title: Temperature + tool_choice: + anyOf: + - type: string + - additionalProperties: true + type: object + - type: 'null' + title: Tool Choice + tools: + anyOf: + - items: + additionalProperties: true + type: object + type: array + - type: 'null' + title: Tools + top_logprobs: + anyOf: + - type: integer + - type: 'null' + title: Top Logprobs + top_p: + anyOf: + - type: number + - type: 'null' + title: Top P + user: + anyOf: + - type: string + - type: 'null' + title: User + additionalProperties: true + type: object + required: + - model + - messages + title: OpenAIChatCompletionRequestWithExtraBody + description: Request parameters for OpenAI-compatible chat completion endpoint. + OpenAIChatCompletionToolCall: + properties: + index: + anyOf: + - type: integer + - type: 'null' + title: Index + id: + anyOf: + - type: string + - type: 'null' + title: Id + type: + type: string + const: function + title: Type + default: function + function: + anyOf: + - $ref: '#/components/schemas/OpenAIChatCompletionToolCallFunction' + - type: 'null' + type: object + title: OpenAIChatCompletionToolCall + description: Tool call specification for OpenAI-compatible chat completion responses. + OpenAIChatCompletionToolCallFunction: + properties: + name: + anyOf: + - type: string + - type: 'null' + title: Name + arguments: + anyOf: + - type: string + - type: 'null' + title: Arguments + type: object + title: OpenAIChatCompletionToolCallFunction + description: Function call details for OpenAI-compatible tool calls. + OpenAIChatCompletionUsage: + properties: + prompt_tokens: + type: integer + title: Prompt Tokens + completion_tokens: + type: integer + title: Completion Tokens + total_tokens: + type: integer + title: Total Tokens + prompt_tokens_details: + anyOf: + - $ref: '#/components/schemas/OpenAIChatCompletionUsagePromptTokensDetails' + - type: 'null' + completion_tokens_details: + anyOf: + - $ref: '#/components/schemas/OpenAIChatCompletionUsageCompletionTokensDetails' + - type: 'null' + type: object + required: + - prompt_tokens + - completion_tokens + - total_tokens + title: OpenAIChatCompletionUsage + description: Usage information for OpenAI chat completion. + OpenAIChatCompletionUsageCompletionTokensDetails: + properties: + reasoning_tokens: + anyOf: + - type: integer + - type: 'null' + title: Reasoning Tokens + type: object + title: OpenAIChatCompletionUsageCompletionTokensDetails + description: Token details for output tokens in OpenAI chat completion usage. + OpenAIChatCompletionUsagePromptTokensDetails: + properties: + cached_tokens: + anyOf: + - type: integer + - type: 'null' + title: Cached Tokens + type: object + title: OpenAIChatCompletionUsagePromptTokensDetails + description: Token details for prompt tokens in OpenAI chat completion usage. + OpenAIChoice-Output: + properties: + message: + oneOf: + - $ref: '#/components/schemas/OpenAIUserMessageParam-Output' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam-Output' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + title: Message + discriminator: + propertyName: role + mapping: + assistant: '#/components/schemas/OpenAIAssistantMessageParam-Output' + developer: '#/components/schemas/OpenAIDeveloperMessageParam' + system: '#/components/schemas/OpenAISystemMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + user: '#/components/schemas/OpenAIUserMessageParam-Output' + finish_reason: + type: string + title: Finish Reason + index: + type: integer + title: Index + logprobs: + anyOf: + - $ref: '#/components/schemas/OpenAIChoiceLogprobs-Output' + - type: 'null' + type: object + required: + - message + - finish_reason + - index + title: OpenAIChoice + description: A choice from an OpenAI-compatible chat completion response. + OpenAIChoiceLogprobs-Output: + properties: + content: + anyOf: + - items: + $ref: '#/components/schemas/OpenAITokenLogProb' + type: array + - type: 'null' + title: Content + refusal: + anyOf: + - items: + $ref: '#/components/schemas/OpenAITokenLogProb' + type: array + - type: 'null' + title: Refusal + type: object + title: OpenAIChoiceLogprobs + description: The log probabilities for the tokens in the message from an OpenAI-compatible chat completion response. + OpenAICompletion: + properties: + id: + type: string + title: Id + choices: + items: + $ref: '#/components/schemas/OpenAICompletionChoice-Output' + type: array + title: Choices + created: + type: integer + title: Created + model: + type: string + title: Model + object: + type: string + const: text_completion + title: Object + default: text_completion + type: object + required: + - id + - choices + - created + - model + title: OpenAICompletion + description: |- + Response from an OpenAI-compatible completion request. + + :id: The ID of the completion + :choices: List of choices + :created: The Unix timestamp in seconds when the completion was created + :model: The model that was used to generate the completion + :object: The object type, which will be "text_completion" + OpenAICompletionChoice-Output: + properties: + finish_reason: + type: string + title: Finish Reason + text: + type: string + title: Text + index: + type: integer + title: Index + logprobs: + anyOf: + - $ref: '#/components/schemas/OpenAIChoiceLogprobs-Output' + - type: 'null' + type: object + required: + - finish_reason + - text + - index + title: OpenAICompletionChoice + description: |- + A choice from an OpenAI-compatible completion response. + + :finish_reason: The reason the model stopped generating + :text: The text of the choice + :index: The index of the choice + :logprobs: (Optional) The log probabilities for the tokens in the choice + OpenAICompletionRequestWithExtraBody: + properties: + model: + type: string + title: Model + prompt: + anyOf: + - type: string + - items: + type: string + type: array + - items: + type: integer + type: array + - items: + items: + type: integer + type: array + type: array + title: Prompt + best_of: + anyOf: + - type: integer + - type: 'null' + title: Best Of + echo: + anyOf: + - type: boolean + - type: 'null' + title: Echo + frequency_penalty: + anyOf: + - type: number + - type: 'null' + title: Frequency Penalty + logit_bias: + anyOf: + - additionalProperties: + type: number + type: object + - type: 'null' + title: Logit Bias + logprobs: + anyOf: + - type: boolean + - type: 'null' + title: Logprobs + max_tokens: + anyOf: + - type: integer + - type: 'null' + title: Max Tokens + n: + anyOf: + - type: integer + - type: 'null' + title: N + presence_penalty: + anyOf: + - type: number + - type: 'null' + title: Presence Penalty + seed: + anyOf: + - type: integer + - type: 'null' + title: Seed + stop: + anyOf: + - type: string + - items: + type: string + type: array + - type: 'null' + title: Stop + stream: + anyOf: + - type: boolean + - type: 'null' + title: Stream + stream_options: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Stream Options + temperature: + anyOf: + - type: number + - type: 'null' + title: Temperature + top_p: + anyOf: + - type: number + - type: 'null' + title: Top P + user: + anyOf: + - type: string + - type: 'null' + title: User + suffix: + anyOf: + - type: string + - type: 'null' + title: Suffix + additionalProperties: true + type: object + required: + - model + - prompt + title: OpenAICompletionRequestWithExtraBody + description: Request parameters for OpenAI-compatible completion endpoint. + OpenAICompletionWithInputMessages: + properties: + id: + type: string + title: Id + choices: + items: + $ref: '#/components/schemas/OpenAIChoice-Output' + type: array + title: Choices + object: + type: string + const: chat.completion + title: Object + default: chat.completion + created: + type: integer + title: Created + model: + type: string + title: Model + usage: + anyOf: + - $ref: '#/components/schemas/OpenAIChatCompletionUsage' + - type: 'null' + input_messages: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIUserMessageParam-Output' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam-Output' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + discriminator: + propertyName: role + mapping: + assistant: '#/components/schemas/OpenAIAssistantMessageParam-Output' + developer: '#/components/schemas/OpenAIDeveloperMessageParam' + system: '#/components/schemas/OpenAISystemMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + user: '#/components/schemas/OpenAIUserMessageParam-Output' + type: array + title: Input Messages + type: object + required: + - id + - choices + - created + - model + - input_messages + title: OpenAICompletionWithInputMessages + OpenAICreateVectorStoreFileBatchRequestWithExtraBody: + properties: + file_ids: + items: + type: string + type: array + title: File Ids + attributes: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Attributes + chunking_strategy: + anyOf: + - oneOf: + - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' + - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + discriminator: + propertyName: type + mapping: + auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' + static: '#/components/schemas/VectorStoreChunkingStrategyStatic' + - type: 'null' + title: Chunking Strategy + additionalProperties: true + type: object + required: + - file_ids + title: OpenAICreateVectorStoreFileBatchRequestWithExtraBody + description: Request to create a vector store file batch with extra_body support. + OpenAICreateVectorStoreRequestWithExtraBody: + properties: + name: + anyOf: + - type: string + - type: 'null' + title: Name + file_ids: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: File Ids + expires_after: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Expires After + chunking_strategy: + anyOf: + - oneOf: + - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' + - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + discriminator: + propertyName: type + mapping: + auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' + static: '#/components/schemas/VectorStoreChunkingStrategyStatic' + - type: 'null' + title: Chunking Strategy + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + additionalProperties: true + type: object + title: OpenAICreateVectorStoreRequestWithExtraBody + description: Request to create a vector store with extra_body support. + OpenAIDeleteResponseObject: + properties: + id: + type: string + title: Id + object: + type: string + const: response + title: Object + default: response + deleted: + type: boolean + title: Deleted + default: true + type: object + required: + - id + title: OpenAIDeleteResponseObject + description: Response object confirming deletion of an OpenAI response. + OpenAIDeveloperMessageParam: + properties: + role: + type: string + const: developer + title: Role + default: developer + content: + anyOf: + - type: string + - items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + title: Content + name: + anyOf: + - type: string + - type: 'null' + title: Name + type: object + required: + - content + title: OpenAIDeveloperMessageParam + description: A message from the developer in an OpenAI-compatible chat completion request. + OpenAIEmbeddingData: + properties: + object: + type: string + const: embedding + title: Object + default: embedding + embedding: + anyOf: + - items: + type: number + type: array + - type: string + title: Embedding + index: + type: integer + title: Index + type: object + required: + - embedding + - index + title: OpenAIEmbeddingData + description: A single embedding data object from an OpenAI-compatible embeddings response. + OpenAIEmbeddingUsage: + properties: + prompt_tokens: + type: integer + title: Prompt Tokens + total_tokens: + type: integer + title: Total Tokens + type: object + required: + - prompt_tokens + - total_tokens + title: OpenAIEmbeddingUsage + description: Usage information for an OpenAI-compatible embeddings response. + OpenAIEmbeddingsRequestWithExtraBody: + properties: + model: + type: string + title: Model + input: + anyOf: + - type: string + - items: + type: string + type: array + title: Input + encoding_format: + anyOf: + - type: string + - type: 'null' + title: Encoding Format + default: float + dimensions: + anyOf: + - type: integer + - type: 'null' + title: Dimensions + user: + anyOf: + - type: string + - type: 'null' + title: User + additionalProperties: true + type: object + required: + - model + - input + title: OpenAIEmbeddingsRequestWithExtraBody + description: Request parameters for OpenAI-compatible embeddings endpoint. + OpenAIEmbeddingsResponse: + properties: + object: + type: string + const: list + title: Object + default: list + data: + items: + $ref: '#/components/schemas/OpenAIEmbeddingData' + type: array + title: Data + model: + type: string + title: Model + usage: + $ref: '#/components/schemas/OpenAIEmbeddingUsage' + type: object + required: + - data + - model + - usage + title: OpenAIEmbeddingsResponse + description: Response from an OpenAI-compatible embeddings request. + OpenAIFile: + properties: + type: + type: string + const: file + title: Type + default: file + file: + $ref: '#/components/schemas/OpenAIFileFile' + type: object + required: + - file + title: OpenAIFile + OpenAIFileDeleteResponse: + properties: + id: + type: string + title: Id + object: + type: string + const: file + title: Object + default: file + deleted: + type: boolean + title: Deleted + type: object + required: + - id + - deleted + title: OpenAIFileDeleteResponse + description: Response for deleting a file in OpenAI Files API. + OpenAIFileFile: + properties: + file_data: + anyOf: + - type: string + - type: 'null' + title: File Data + file_id: + anyOf: + - type: string + - type: 'null' + title: File Id + filename: + anyOf: + - type: string + - type: 'null' + title: Filename + type: object + title: OpenAIFileFile + OpenAIFileObject: + properties: + object: + type: string + const: file + title: Object + default: file + id: + type: string + title: Id + bytes: + type: integer + title: Bytes + created_at: + type: integer + title: Created At + expires_at: + type: integer + title: Expires At + filename: + type: string + title: Filename + purpose: + $ref: '#/components/schemas/OpenAIFilePurpose' + type: object + required: + - id + - bytes + - created_at + - expires_at + - filename + - purpose + title: OpenAIFileObject + description: OpenAI File object as defined in the OpenAI Files API. + OpenAIFilePurpose: + type: string + enum: + - assistants + - batch + title: OpenAIFilePurpose + description: Valid purpose values for OpenAI Files API. + OpenAIImageURL: + properties: + url: + type: string + title: Url + detail: + anyOf: + - type: string + - type: 'null' + title: Detail + type: object + required: + - url + title: OpenAIImageURL + description: Image URL specification for OpenAI-compatible chat completion messages. + OpenAIJSONSchema: + properties: + name: + type: string + title: Name + description: + anyOf: + - type: string + - type: 'null' + title: Description + strict: + anyOf: + - type: boolean + - type: 'null' + title: Strict + schema: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Schema + type: object + title: OpenAIJSONSchema + description: JSON schema specification for OpenAI-compatible structured response format. + OpenAIModel: + properties: + id: + type: string + title: Id + object: + type: string + const: model + title: Object + default: model + created: + type: integer + title: Created + owned_by: + type: string + title: Owned By + custom_metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Custom Metadata + type: object + required: + - id + - created + - owned_by + title: OpenAIModel + description: |- + A model from OpenAI. + + :id: The ID of the model + :object: The object type, which will be "model" + :created: The Unix timestamp in seconds when the model was created + :owned_by: The owner of the model + :custom_metadata: Llama Stack-specific metadata including model_type, provider info, and additional metadata + OpenAIResponseAnnotationCitation: + properties: + type: + type: string + const: url_citation + title: Type + default: url_citation + end_index: + type: integer + title: End Index + start_index: + type: integer + title: Start Index + title: + type: string + title: Title + url: + type: string + title: Url + type: object + required: + - end_index + - start_index + - title + - url + title: OpenAIResponseAnnotationCitation + description: URL citation annotation for referencing external web resources. + OpenAIResponseAnnotationContainerFileCitation: + properties: + type: + type: string + const: container_file_citation + title: Type + default: container_file_citation + container_id: + type: string + title: Container Id + end_index: + type: integer + title: End Index + file_id: + type: string + title: File Id + filename: + type: string + title: Filename + start_index: + type: integer + title: Start Index + type: object + required: + - container_id + - end_index + - file_id + - filename + - start_index + title: OpenAIResponseAnnotationContainerFileCitation + OpenAIResponseAnnotationFileCitation: + properties: + type: + type: string + const: file_citation + title: Type + default: file_citation + file_id: + type: string + title: File Id + filename: + type: string + title: Filename + index: + type: integer + title: Index + type: object + required: + - file_id + - filename + - index + title: OpenAIResponseAnnotationFileCitation + description: File citation annotation for referencing specific files in response content. + OpenAIResponseAnnotationFilePath: + properties: + type: + type: string + const: file_path + title: Type + default: file_path + file_id: + type: string + title: File Id + index: + type: integer + title: Index + type: object + required: + - file_id + - index + title: OpenAIResponseAnnotationFilePath + OpenAIResponseContentPartRefusal: + properties: + type: + type: string + const: refusal + title: Type + default: refusal + refusal: + type: string + title: Refusal + type: object + required: + - refusal + title: OpenAIResponseContentPartRefusal + description: Refusal content within a streamed response part. + OpenAIResponseError: + properties: + code: + type: string + title: Code + message: + type: string + title: Message + type: object + required: + - code + - message + title: OpenAIResponseError + description: Error details for failed OpenAI response requests. + OpenAIResponseFormatJSONObject: + properties: + type: + type: string + const: json_object + title: Type + default: json_object + type: object + title: OpenAIResponseFormatJSONObject + description: JSON object response format for OpenAI-compatible chat completion requests. + OpenAIResponseFormatJSONSchema: + properties: + type: + type: string + const: json_schema + title: Type + default: json_schema + json_schema: + $ref: '#/components/schemas/OpenAIJSONSchema' + type: object + required: + - json_schema + title: OpenAIResponseFormatJSONSchema + description: JSON schema response format for OpenAI-compatible chat completion requests. + OpenAIResponseFormatText: + properties: + type: + type: string + const: text + title: Type + default: text + type: object + title: OpenAIResponseFormatText + description: Text response format for OpenAI-compatible chat completion requests. + OpenAIResponseInputFunctionToolCallOutput: + properties: + call_id: + type: string + title: Call Id + output: + type: string + title: Output + type: + type: string + const: function_call_output + title: Type + default: function_call_output + id: + anyOf: + - type: string + - type: 'null' + title: Id + status: + anyOf: + - type: string + - type: 'null' + title: Status + type: object + required: + - call_id + - output + title: OpenAIResponseInputFunctionToolCallOutput + description: This represents the output of a function call that gets passed back to the model. + OpenAIResponseInputMessageContentFile: + properties: + type: + type: string + const: input_file + title: Type + default: input_file + file_data: + anyOf: + - type: string + - type: 'null' + title: File Data + file_id: + anyOf: + - type: string + - type: 'null' + title: File Id + file_url: + anyOf: + - type: string + - type: 'null' + title: File Url + filename: + anyOf: + - type: string + - type: 'null' + title: Filename + type: object + title: OpenAIResponseInputMessageContentFile + description: File content for input messages in OpenAI response format. + OpenAIResponseInputMessageContentImage: + properties: + detail: + anyOf: + - type: string + const: low + - type: string + const: high + - type: string + const: auto + title: Detail + default: auto + type: + type: string + const: input_image + title: Type + default: input_image + file_id: + anyOf: + - type: string + - type: 'null' + title: File Id + image_url: + anyOf: + - type: string + - type: 'null' + title: Image Url + type: object + title: OpenAIResponseInputMessageContentImage + description: Image content for input messages in OpenAI response format. + OpenAIResponseInputMessageContentText: + properties: + text: + type: string + title: Text + type: + type: string + const: input_text + title: Type + default: input_text + type: object + required: + - text + title: OpenAIResponseInputMessageContentText + description: Text content for input messages in OpenAI response format. + OpenAIResponseInputToolFileSearch: + properties: + type: + type: string + const: file_search + title: Type + default: file_search + vector_store_ids: + items: + type: string + type: array + title: Vector Store Ids + filters: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Filters + max_num_results: + anyOf: + - type: integer + maximum: 50.0 + minimum: 1.0 + - type: 'null' + title: Max Num Results + default: 10 + ranking_options: + anyOf: + - $ref: '#/components/schemas/SearchRankingOptions' + - type: 'null' + type: object + required: + - vector_store_ids + title: OpenAIResponseInputToolFileSearch + description: File search tool configuration for OpenAI response inputs. + OpenAIResponseInputToolFunction: + properties: + type: + type: string + const: function + title: Type + default: function + name: + type: string + title: Name + description: + anyOf: + - type: string + - type: 'null' + title: Description + parameters: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Parameters + strict: + anyOf: + - type: boolean + - type: 'null' + title: Strict + type: object + required: + - name + - parameters + title: OpenAIResponseInputToolFunction + description: Function tool configuration for OpenAI response inputs. + OpenAIResponseInputToolWebSearch: + properties: + type: + anyOf: + - type: string + const: web_search + - type: string + const: web_search_preview + - type: string + const: web_search_preview_2025_03_11 + - type: string + const: web_search_2025_08_26 + title: Type + default: web_search + search_context_size: + anyOf: + - type: string + pattern: ^low|medium|high$ + - type: 'null' + title: Search Context Size + default: medium + type: object + title: OpenAIResponseInputToolWebSearch + description: Web search tool configuration for OpenAI response inputs. + OpenAIResponseMCPApprovalRequest: + properties: + arguments: + type: string + title: Arguments + id: + type: string + title: Id + name: + type: string + title: Name + server_label: + type: string + title: Server Label + type: + type: string + const: mcp_approval_request + title: Type + default: mcp_approval_request + type: object + required: + - arguments + - id + - name + - server_label + title: OpenAIResponseMCPApprovalRequest + description: A request for human approval of a tool invocation. + OpenAIResponseMCPApprovalResponse: + properties: + approval_request_id: + type: string + title: Approval Request Id + approve: + type: boolean + title: Approve + type: + type: string + const: mcp_approval_response + title: Type + default: mcp_approval_response + id: + anyOf: + - type: string + - type: 'null' + title: Id + reason: + anyOf: + - type: string + - type: 'null' + title: Reason + type: object + required: + - approval_request_id + - approve + title: OpenAIResponseMCPApprovalResponse + description: A response to an MCP approval request. + OpenAIResponseMessage-Output: + properties: + content: + anyOf: + - type: string + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentText' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentImage' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentFile' + discriminator: + propertyName: type + mapping: + input_file: '#/components/schemas/OpenAIResponseInputMessageContentFile' + input_image: '#/components/schemas/OpenAIResponseInputMessageContentImage' + input_text: '#/components/schemas/OpenAIResponseInputMessageContentText' + type: array + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + discriminator: + propertyName: type + mapping: + output_text: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + type: array + title: Content + role: + anyOf: + - type: string + const: system + - type: string + const: developer + - type: string + const: user + - type: string + const: assistant + title: Role + type: + type: string + const: message + title: Type + default: message + id: + anyOf: + - type: string + - type: 'null' + title: Id + status: + anyOf: + - type: string + - type: 'null' + title: Status + type: object + required: + - content + - role + title: OpenAIResponseMessage + description: |- + Corresponds to the various Message types in the Responses API. + They are all under one type because the Responses API gives them all + the same "type" value, and there is no way to tell them apart in certain + scenarios. + OpenAIResponseObject: + properties: + created_at: + type: integer + title: Created At + error: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseError' + - type: 'null' + id: + type: string + title: Id + model: + type: string + title: Model + object: + type: string + const: response + title: Object + default: response + output: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage-Output' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + discriminator: + propertyName: type + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage-Output' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + type: array + title: Output + parallel_tool_calls: + type: boolean + title: Parallel Tool Calls + default: false + previous_response_id: + anyOf: + - type: string + - type: 'null' + title: Previous Response Id + prompt: + anyOf: + - $ref: '#/components/schemas/OpenAIResponsePrompt' + - type: 'null' + status: + type: string + title: Status + temperature: + anyOf: + - type: number + - type: 'null' + title: Temperature + text: + $ref: '#/components/schemas/OpenAIResponseText' + default: + format: + type: text + top_p: + anyOf: + - type: number + - type: 'null' + title: Top P + tools: + anyOf: + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFileSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFunction' + - $ref: '#/components/schemas/OpenAIResponseToolMCP' + discriminator: + propertyName: type + mapping: + file_search: '#/components/schemas/OpenAIResponseInputToolFileSearch' + function: '#/components/schemas/OpenAIResponseInputToolFunction' + mcp: '#/components/schemas/OpenAIResponseToolMCP' + web_search: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_2025_08_26: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_preview: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_preview_2025_03_11: '#/components/schemas/OpenAIResponseInputToolWebSearch' + type: array + - type: 'null' + title: Tools + truncation: + anyOf: + - type: string + - type: 'null' + title: Truncation + usage: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseUsage' + - type: 'null' + instructions: + anyOf: + - type: string + - type: 'null' + title: Instructions + type: object + required: + - created_at + - id + - model + - output + - status + title: OpenAIResponseObject + description: Complete OpenAI response object containing generation results and metadata. + OpenAIResponseOutputMessageContentOutputText: + properties: + text: + type: string + title: Text + type: + type: string + const: output_text + title: Type + default: output_text + annotations: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationFilePath' + discriminator: + propertyName: type + mapping: + container_file_citation: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + file_citation: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + file_path: '#/components/schemas/OpenAIResponseAnnotationFilePath' + url_citation: '#/components/schemas/OpenAIResponseAnnotationCitation' + type: array + title: Annotations + type: object + required: + - text + title: OpenAIResponseOutputMessageContentOutputText + OpenAIResponseOutputMessageFileSearchToolCall: + properties: + id: + type: string + title: Id + queries: + items: + type: string + type: array + title: Queries + status: + type: string + title: Status + type: + type: string + const: file_search_call + title: Type + default: file_search_call + results: + anyOf: + - items: + $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCallResults' + type: array + - type: 'null' + title: Results + type: object + required: + - id + - queries + - status + title: OpenAIResponseOutputMessageFileSearchToolCall + description: File search tool call output message for OpenAI responses. + OpenAIResponseOutputMessageFileSearchToolCallResults: + properties: + attributes: + additionalProperties: true + type: object + title: Attributes + file_id: + type: string + title: File Id + filename: + type: string + title: Filename + score: + type: number + title: Score + text: + type: string + title: Text + type: object + required: + - attributes + - file_id + - filename + - score + - text + title: OpenAIResponseOutputMessageFileSearchToolCallResults + description: Search results returned by the file search operation. + OpenAIResponseOutputMessageFunctionToolCall: + properties: + call_id: + type: string + title: Call Id + name: + type: string + title: Name + arguments: + type: string + title: Arguments + type: + type: string + const: function_call + title: Type + default: function_call + id: + anyOf: + - type: string + - type: 'null' + title: Id + status: + anyOf: + - type: string + - type: 'null' + title: Status + type: object + required: + - call_id + - name + - arguments + title: OpenAIResponseOutputMessageFunctionToolCall + description: Function tool call output message for OpenAI responses. + OpenAIResponseOutputMessageMCPCall: + properties: + id: + type: string + title: Id + type: + type: string + const: mcp_call + title: Type + default: mcp_call + arguments: + type: string + title: Arguments + name: + type: string + title: Name + server_label: + type: string + title: Server Label + error: + anyOf: + - type: string + - type: 'null' + title: Error + output: + anyOf: + - type: string + - type: 'null' + title: Output + type: object + required: + - id + - arguments + - name + - server_label + title: OpenAIResponseOutputMessageMCPCall + description: Model Context Protocol (MCP) call output message for OpenAI responses. + OpenAIResponseOutputMessageMCPListTools: + properties: + id: + type: string + title: Id + type: + type: string + const: mcp_list_tools + title: Type + default: mcp_list_tools + server_label: + type: string + title: Server Label + tools: + items: + $ref: '#/components/schemas/MCPListToolsTool' + type: array + title: Tools + type: object + required: + - id + - server_label + - tools + title: OpenAIResponseOutputMessageMCPListTools + description: MCP list tools output message containing available tools from an MCP server. + OpenAIResponseOutputMessageWebSearchToolCall: + properties: + id: + type: string + title: Id + status: + type: string + title: Status + type: + type: string + const: web_search_call + title: Type + default: web_search_call + type: object + required: + - id + - status + title: OpenAIResponseOutputMessageWebSearchToolCall + description: Web search tool call output message for OpenAI responses. + OpenAIResponsePrompt: + properties: + id: + type: string + title: Id + variables: + anyOf: + - additionalProperties: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentText' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentImage' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentFile' + discriminator: + propertyName: type + mapping: + input_file: '#/components/schemas/OpenAIResponseInputMessageContentFile' + input_image: '#/components/schemas/OpenAIResponseInputMessageContentImage' + input_text: '#/components/schemas/OpenAIResponseInputMessageContentText' + type: object + - type: 'null' + title: Variables + version: + anyOf: + - type: string + - type: 'null' + title: Version + type: object + required: + - id + title: OpenAIResponsePrompt + description: OpenAI compatible Prompt object that is used in OpenAI responses. + OpenAIResponseText: + properties: + format: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseTextFormat' + - type: 'null' + type: object + title: OpenAIResponseText + description: Text response configuration for OpenAI responses. + OpenAIResponseTextFormat: + properties: + type: + anyOf: + - type: string + const: text + - type: string + const: json_schema + - type: string + const: json_object + title: Type + name: + anyOf: + - type: string + - type: 'null' + title: Name + schema: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Schema + description: + anyOf: + - type: string + - type: 'null' + title: Description + strict: + anyOf: + - type: boolean + - type: 'null' + title: Strict + type: object + title: OpenAIResponseTextFormat + description: Configuration for Responses API text format. + OpenAIResponseToolMCP: + properties: + type: + type: string + const: mcp + title: Type + default: mcp + server_label: + type: string + title: Server Label + allowed_tools: + anyOf: + - items: + type: string + type: array + - $ref: '#/components/schemas/AllowedToolsFilter' + - type: 'null' + title: Allowed Tools + type: object + required: + - server_label + title: OpenAIResponseToolMCP + description: Model Context Protocol (MCP) tool configuration for OpenAI response object. + OpenAIResponseUsage: + properties: + input_tokens: + type: integer + title: Input Tokens + output_tokens: + type: integer + title: Output Tokens + total_tokens: + type: integer + title: Total Tokens + input_tokens_details: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseUsageInputTokensDetails' + - type: 'null' + output_tokens_details: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseUsageOutputTokensDetails' + - type: 'null' + type: object + required: + - input_tokens + - output_tokens + - total_tokens + title: OpenAIResponseUsage + description: Usage information for OpenAI response. + OpenAIResponseUsageInputTokensDetails: + properties: + cached_tokens: + anyOf: + - type: integer + - type: 'null' + title: Cached Tokens + type: object + title: OpenAIResponseUsageInputTokensDetails + description: Token details for input tokens in OpenAI response usage. + OpenAIResponseUsageOutputTokensDetails: + properties: + reasoning_tokens: + anyOf: + - type: integer + - type: 'null' + title: Reasoning Tokens + type: object + title: OpenAIResponseUsageOutputTokensDetails + description: Token details for output tokens in OpenAI response usage. + OpenAISystemMessageParam: + properties: + role: + type: string + const: system + title: Role + default: system + content: + anyOf: + - type: string + - items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + title: Content + name: + anyOf: + - type: string + - type: 'null' + title: Name + type: object + required: + - content + title: OpenAISystemMessageParam + description: A system message providing instructions or context to the model. + OpenAITokenLogProb: + properties: + token: + type: string + title: Token + bytes: + anyOf: + - items: + type: integer + type: array + - type: 'null' + title: Bytes + logprob: + type: number + title: Logprob + top_logprobs: + items: + $ref: '#/components/schemas/OpenAITopLogProb' + type: array + title: Top Logprobs + type: object + required: + - token + - logprob + - top_logprobs + title: OpenAITokenLogProb + description: |- + The log probability for a token from an OpenAI-compatible chat completion response. + + :token: The token + :bytes: (Optional) The bytes for the token + :logprob: The log probability of the token + :top_logprobs: The top log probabilities for the token + OpenAIToolMessageParam: + properties: + role: + type: string + const: tool + title: Role + default: tool + tool_call_id: + type: string + title: Tool Call Id + content: + anyOf: + - type: string + - items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + title: Content + type: object + required: + - tool_call_id + - content + title: OpenAIToolMessageParam + description: A message representing the result of a tool invocation in an OpenAI-compatible chat completion request. + OpenAITopLogProb: + properties: + token: + type: string + title: Token + bytes: + anyOf: + - items: + type: integer + type: array + - type: 'null' + title: Bytes + logprob: + type: number + title: Logprob + type: object + required: + - token + - logprob + title: OpenAITopLogProb + description: |- + The top log probability for a token from an OpenAI-compatible chat completion response. + + :token: The token + :bytes: (Optional) The bytes for the token + :logprob: The log probability of the token + OpenAIUserMessageParam-Input: + properties: + role: + type: string + const: user + title: Role + default: user + content: + anyOf: + - type: string + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + - $ref: '#/components/schemas/OpenAIFile' + discriminator: + propertyName: type + mapping: + file: '#/components/schemas/OpenAIFile' + image_url: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + text: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + title: Content + name: + anyOf: + - type: string + - type: 'null' + title: Name + type: object + required: + - content + title: OpenAIUserMessageParam + description: A message from the user in an OpenAI-compatible chat completion request. + OpenAIUserMessageParam-Output: + properties: + role: + type: string + const: user + title: Role + default: user + content: + anyOf: + - type: string + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + - $ref: '#/components/schemas/OpenAIFile' + discriminator: + propertyName: type + mapping: + file: '#/components/schemas/OpenAIFile' + image_url: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + text: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + title: Content + name: + anyOf: + - type: string + - type: 'null' + title: Name + type: object + required: + - content + title: OpenAIUserMessageParam + description: A message from the user in an OpenAI-compatible chat completion request. + OptimizerConfig: + properties: + optimizer_type: + $ref: '#/components/schemas/OptimizerType' + lr: + type: number + title: Lr + weight_decay: + type: number + title: Weight Decay + num_warmup_steps: + type: integer + title: Num Warmup Steps + type: object + required: + - optimizer_type + - lr + - weight_decay + - num_warmup_steps + title: OptimizerConfig + description: Configuration parameters for the optimization algorithm. + OptimizerType: + type: string + enum: + - adam + - adamw + - sgd + title: OptimizerType + description: Available optimizer algorithms for training. + OutputTokensDetails: + properties: + reasoning_tokens: + type: integer + title: Reasoning Tokens + additionalProperties: true + type: object + required: + - reasoning_tokens + title: OutputTokensDetails + PostTrainingJob: + properties: + job_uuid: + type: string + title: Job Uuid + type: object + required: + - job_uuid + title: PostTrainingJob + Prompt: + properties: + prompt: + anyOf: + - type: string + - type: 'null' + title: Prompt + description: The system prompt with variable placeholders + version: + type: integer + minimum: 1.0 + title: Version + description: Version (integer starting at 1, incremented on save) + prompt_id: + type: string + title: Prompt Id + description: Unique identifier in format 'pmpt_<48-digit-hash>' + variables: + items: + type: string + type: array + title: Variables + description: List of variable names that can be used in the prompt template + is_default: + type: boolean + title: Is Default + description: Boolean indicating whether this version is the default version + default: false + type: object + required: + - version + - prompt_id + title: Prompt + description: A prompt resource representing a stored OpenAI Compatible prompt template in Llama Stack. + ProviderInfo: + properties: + api: + type: string + title: Api + provider_id: + type: string + title: Provider Id + provider_type: + type: string + title: Provider Type + config: + additionalProperties: true + type: object + title: Config + health: + additionalProperties: true + type: object + title: Health + type: object + required: + - api + - provider_id + - provider_type + - config + - health + title: ProviderInfo + description: Information about a registered provider including its configuration and health status. + QATFinetuningConfig: properties: type: type: string const: QAT + title: Type default: QAT - description: Algorithm type identifier, always "QAT" quantizer_name: type: string - description: >- - Name of the quantization algorithm to use + title: Quantizer Name group_size: type: integer - description: Size of groups for grouped quantization - additionalProperties: false - required: - - type - - quantizer_name - - group_size - title: QATFinetuningConfig - description: >- - Configuration for Quantization-Aware Training (QAT) fine-tuning. - SupervisedFineTuneRequest: + title: Group Size type: object + required: + - quantizer_name + - group_size + title: QATFinetuningConfig + description: Configuration for Quantization-Aware Training (QAT) fine-tuning. + QueryChunksResponse: + properties: + chunks: + items: + $ref: '#/components/schemas/Chunk-Output' + type: array + title: Chunks + scores: + items: + type: number + type: array + title: Scores + type: object + required: + - chunks + - scores + title: QueryChunksResponse + description: Response from querying chunks in a vector database. + RegexParserScoringFnParams: + properties: + type: + type: string + const: regex_parser + title: Type + default: regex_parser + parsing_regexes: + items: + type: string + type: array + title: Parsing Regexes + description: Regex to extract the answer from generated response + aggregation_functions: + items: + $ref: '#/components/schemas/AggregationFunctionType' + type: array + title: Aggregation Functions + description: Aggregation functions to apply to the scores of each row + type: object + title: RegexParserScoringFnParams + description: Parameters for regex parser scoring function configuration. + RerankData: + properties: + index: + type: integer + title: Index + relevance_score: + type: number + title: Relevance Score + type: object + required: + - index + - relevance_score + title: RerankData + description: A single rerank result from a reranking response. + RerankResponse: + properties: + data: + items: + $ref: '#/components/schemas/RerankData' + type: array + title: Data + type: object + required: + - data + title: RerankResponse + description: Response from a reranking request. + RowsDataSource: + properties: + type: + type: string + const: rows + title: Type + default: rows + rows: + items: + additionalProperties: true + type: object + type: array + title: Rows + type: object + required: + - rows + title: RowsDataSource + description: A dataset stored in rows. + RunShieldResponse: + properties: + violation: + anyOf: + - $ref: '#/components/schemas/SafetyViolation' + - type: 'null' + type: object + title: RunShieldResponse + description: Response from running a safety shield. + SafetyViolation: + properties: + violation_level: + $ref: '#/components/schemas/ViolationLevel' + user_message: + anyOf: + - type: string + - type: 'null' + title: User Message + metadata: + additionalProperties: true + type: object + title: Metadata + type: object + required: + - violation_level + title: SafetyViolation + description: Details of a safety violation detected by content moderation. + SamplingParams: + properties: + strategy: + oneOf: + - $ref: '#/components/schemas/GreedySamplingStrategy' + - $ref: '#/components/schemas/TopPSamplingStrategy' + - $ref: '#/components/schemas/TopKSamplingStrategy' + title: Strategy + discriminator: + propertyName: type + mapping: + greedy: '#/components/schemas/GreedySamplingStrategy' + top_k: '#/components/schemas/TopKSamplingStrategy' + top_p: '#/components/schemas/TopPSamplingStrategy' + max_tokens: + anyOf: + - type: integer + - type: 'null' + title: Max Tokens + repetition_penalty: + anyOf: + - type: number + - type: 'null' + title: Repetition Penalty + default: 1.0 + stop: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: Stop + type: object + title: SamplingParams + description: Sampling parameters. + ScoreBatchResponse: + properties: + dataset_id: + anyOf: + - type: string + - type: 'null' + title: Dataset Id + results: + additionalProperties: + $ref: '#/components/schemas/ScoringResult' + type: object + title: Results + type: object + required: + - results + title: ScoreBatchResponse + description: Response from batch scoring operations on datasets. + ScoreResponse: + properties: + results: + additionalProperties: + $ref: '#/components/schemas/ScoringResult' + type: object + title: Results + type: object + required: + - results + title: ScoreResponse + description: The response from scoring. + ScoringFn: + properties: + identifier: + type: string + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: + type: string + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: scoring_function + title: Type + default: scoring_function + description: + anyOf: + - type: string + - type: 'null' + title: Description + metadata: + additionalProperties: true + type: object + title: Metadata + description: Any additional metadata for this definition + return_type: + oneOf: + - $ref: '#/components/schemas/StringType' + - $ref: '#/components/schemas/NumberType' + - $ref: '#/components/schemas/BooleanType' + - $ref: '#/components/schemas/ArrayType' + - $ref: '#/components/schemas/ObjectType' + - $ref: '#/components/schemas/JsonType' + - $ref: '#/components/schemas/UnionType' + - $ref: '#/components/schemas/ChatCompletionInputType' + - $ref: '#/components/schemas/CompletionInputType' + title: Return Type + description: The return type of the deterministic function + discriminator: + propertyName: type + mapping: + array: '#/components/schemas/ArrayType' + boolean: '#/components/schemas/BooleanType' + chat_completion_input: '#/components/schemas/ChatCompletionInputType' + completion_input: '#/components/schemas/CompletionInputType' + json: '#/components/schemas/JsonType' + number: '#/components/schemas/NumberType' + object: '#/components/schemas/ObjectType' + string: '#/components/schemas/StringType' + union: '#/components/schemas/UnionType' + params: + anyOf: + - oneOf: + - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams' + - $ref: '#/components/schemas/RegexParserScoringFnParams' + - $ref: '#/components/schemas/BasicScoringFnParams' + discriminator: + propertyName: type + mapping: + basic: '#/components/schemas/BasicScoringFnParams' + llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams' + regex_parser: '#/components/schemas/RegexParserScoringFnParams' + - type: 'null' + title: Params + description: The parameters for the scoring function for benchmark eval, these can be overridden for app eval + type: object + required: + - identifier + - provider_id + - return_type + title: ScoringFn + description: A scoring function resource for evaluating model outputs. + ScoringResult: + properties: + score_rows: + items: + additionalProperties: true + type: object + type: array + title: Score Rows + aggregated_results: + additionalProperties: true + type: object + title: Aggregated Results + type: object + required: + - score_rows + - aggregated_results + title: ScoringResult + description: A scoring result for a single row. + SearchRankingOptions: + properties: + ranker: + anyOf: + - type: string + - type: 'null' + title: Ranker + score_threshold: + anyOf: + - type: number + - type: 'null' + title: Score Threshold + default: 0.0 + type: object + title: SearchRankingOptions + description: Options for ranking and filtering search results. + Shield: + properties: + identifier: + type: string + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: + type: string + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: shield + title: Type + default: shield + params: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Params + type: object + required: + - identifier + - provider_id + title: Shield + description: A safety shield resource that can be used to check content. + StringType: + properties: + type: + type: string + const: string + title: Type + default: string + type: object + title: StringType + description: Parameter type for string values. + SystemMessage: + properties: + role: + type: string + const: system + title: Role + default: system + content: + anyOf: + - type: string + - oneOf: + - $ref: '#/components/schemas/ImageContentItem-Input' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Input' + text: '#/components/schemas/TextContentItem' + - items: + oneOf: + - $ref: '#/components/schemas/ImageContentItem-Input' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Input' + text: '#/components/schemas/TextContentItem' + type: array + title: Content + type: object + required: + - content + title: SystemMessage + description: A system message providing instructions or context to the model. + TextContentItem: + properties: + type: + type: string + const: text + title: Type + default: text + text: + type: string + title: Text + type: object + required: + - text + title: TextContentItem + description: A text content item + ToolDef: + properties: + toolgroup_id: + anyOf: + - type: string + - type: 'null' + title: Toolgroup Id + name: + type: string + title: Name + description: + anyOf: + - type: string + - type: 'null' + title: Description + input_schema: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Input Schema + output_schema: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Output Schema + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + type: object + required: + - name + title: ToolDef + description: Tool definition used in runtime contexts. + ToolGroup: + properties: + identifier: + type: string + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: + type: string + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: tool_group + title: Type + default: tool_group + mcp_endpoint: + anyOf: + - $ref: '#/components/schemas/URL' + - type: 'null' + args: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Args + type: object + required: + - identifier + - provider_id + title: ToolGroup + description: A group of related tools managed together. + ToolInvocationResult: + properties: + content: + anyOf: + - type: string + - oneOf: + - $ref: '#/components/schemas/ImageContentItem-Output' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Output' + text: '#/components/schemas/TextContentItem' + - items: + oneOf: + - $ref: '#/components/schemas/ImageContentItem-Output' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Output' + text: '#/components/schemas/TextContentItem' + type: array + - type: 'null' + title: Content + error_message: + anyOf: + - type: string + - type: 'null' + title: Error Message + error_code: + anyOf: + - type: integer + - type: 'null' + title: Error Code + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + type: object + title: ToolInvocationResult + description: Result of a tool invocation. + TopKSamplingStrategy: + properties: + type: + type: string + const: top_k + title: Type + default: top_k + top_k: + type: integer + minimum: 1.0 + title: Top K + type: object + required: + - top_k + title: TopKSamplingStrategy + description: Top-k sampling strategy that restricts sampling to the k most likely tokens. + TopPSamplingStrategy: + properties: + type: + type: string + const: top_p + title: Type + default: top_p + temperature: + anyOf: + - type: number + minimum: 0.0 + - type: 'null' + title: Temperature + top_p: + anyOf: + - type: number + - type: 'null' + title: Top P + default: 0.95 + type: object + required: + - temperature + title: TopPSamplingStrategy + description: Top-p (nucleus) sampling strategy that samples from the smallest set of tokens with cumulative probability >= p. + TrainingConfig: + properties: + n_epochs: + type: integer + title: N Epochs + max_steps_per_epoch: + type: integer + title: Max Steps Per Epoch + default: 1 + gradient_accumulation_steps: + type: integer + title: Gradient Accumulation Steps + default: 1 + max_validation_steps: + anyOf: + - type: integer + - type: 'null' + title: Max Validation Steps + default: 1 + data_config: + anyOf: + - $ref: '#/components/schemas/DataConfig' + - type: 'null' + optimizer_config: + anyOf: + - $ref: '#/components/schemas/OptimizerConfig' + - type: 'null' + efficiency_config: + anyOf: + - $ref: '#/components/schemas/EfficiencyConfig' + - type: 'null' + dtype: + anyOf: + - type: string + - type: 'null' + title: Dtype + default: bf16 + type: object + required: + - n_epochs + title: TrainingConfig + description: Comprehensive configuration for the training process. + URIDataSource: + properties: + type: + type: string + const: uri + title: Type + default: uri + uri: + type: string + title: Uri + type: object + required: + - uri + title: URIDataSource + description: A dataset that can be obtained from a URI. + URL: + properties: + uri: + type: string + title: Uri + type: object + required: + - uri + title: URL + description: A URL reference to external content. + UnionType: + properties: + type: + type: string + const: union + title: Type + default: union + type: object + title: UnionType + description: Parameter type for union values. + VectorStoreChunkingStrategyAuto: + properties: + type: + type: string + const: auto + title: Type + default: auto + type: object + title: VectorStoreChunkingStrategyAuto + description: Automatic chunking strategy for vector store files. + VectorStoreChunkingStrategyStatic: + properties: + type: + type: string + const: static + title: Type + default: static + static: + $ref: '#/components/schemas/VectorStoreChunkingStrategyStaticConfig' + type: object + required: + - static + title: VectorStoreChunkingStrategyStatic + description: Static chunking strategy with configurable parameters. + VectorStoreChunkingStrategyStaticConfig: + properties: + chunk_overlap_tokens: + type: integer + title: Chunk Overlap Tokens + default: 400 + max_chunk_size_tokens: + type: integer + maximum: 4096.0 + minimum: 100.0 + title: Max Chunk Size Tokens + default: 800 + type: object + title: VectorStoreChunkingStrategyStaticConfig + description: Configuration for static chunking strategy. + VectorStoreContent: + properties: + type: + type: string + const: text + title: Type + text: + type: string + title: Text + type: object + required: + - type + - text + title: VectorStoreContent + description: Content item from a vector store file or search result. + VectorStoreDeleteResponse: + properties: + id: + type: string + title: Id + object: + type: string + title: Object + default: vector_store.deleted + deleted: + type: boolean + title: Deleted + default: true + type: object + required: + - id + title: VectorStoreDeleteResponse + description: Response from deleting a vector store. + VectorStoreFileBatchObject: + properties: + id: + type: string + title: Id + object: + type: string + title: Object + default: vector_store.file_batch + created_at: + type: integer + title: Created At + vector_store_id: + type: string + title: Vector Store Id + status: + anyOf: + - type: string + const: completed + - type: string + const: in_progress + - type: string + const: cancelled + - type: string + const: failed + title: Status + file_counts: + $ref: '#/components/schemas/VectorStoreFileCounts' + type: object + required: + - id + - created_at + - vector_store_id + - status + - file_counts + title: VectorStoreFileBatchObject + description: OpenAI Vector Store File Batch object. + VectorStoreFileContentsResponse: + properties: + file_id: + type: string + title: File Id + filename: + type: string + title: Filename + attributes: + additionalProperties: true + type: object + title: Attributes + content: + items: + $ref: '#/components/schemas/VectorStoreContent' + type: array + title: Content + type: object + required: + - file_id + - filename + - attributes + - content + title: VectorStoreFileContentsResponse + description: Response from retrieving the contents of a vector store file. + VectorStoreFileCounts: + properties: + completed: + type: integer + title: Completed + cancelled: + type: integer + title: Cancelled + failed: + type: integer + title: Failed + in_progress: + type: integer + title: In Progress + total: + type: integer + title: Total + type: object + required: + - completed + - cancelled + - failed + - in_progress + - total + title: VectorStoreFileCounts + description: File processing status counts for a vector store. + VectorStoreFileDeleteResponse: + properties: + id: + type: string + title: Id + object: + type: string + title: Object + default: vector_store.file.deleted + deleted: + type: boolean + title: Deleted + default: true + type: object + required: + - id + title: VectorStoreFileDeleteResponse + description: Response from deleting a vector store file. + VectorStoreFileLastError: + properties: + code: + anyOf: + - type: string + const: server_error + - type: string + const: rate_limit_exceeded + title: Code + message: + type: string + title: Message + type: object + required: + - code + - message + title: VectorStoreFileLastError + description: Error information for failed vector store file processing. + VectorStoreFileObject: + properties: + id: + type: string + title: Id + object: + type: string + title: Object + default: vector_store.file + attributes: + additionalProperties: true + type: object + title: Attributes + chunking_strategy: + oneOf: + - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' + - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + title: Chunking Strategy + discriminator: + propertyName: type + mapping: + auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' + static: '#/components/schemas/VectorStoreChunkingStrategyStatic' + created_at: + type: integer + title: Created At + last_error: + anyOf: + - $ref: '#/components/schemas/VectorStoreFileLastError' + - type: 'null' + status: + anyOf: + - type: string + const: completed + - type: string + const: in_progress + - type: string + const: cancelled + - type: string + const: failed + title: Status + usage_bytes: + type: integer + title: Usage Bytes + default: 0 + vector_store_id: + type: string + title: Vector Store Id + type: object + required: + - id + - chunking_strategy + - created_at + - status + - vector_store_id + title: VectorStoreFileObject + description: OpenAI Vector Store File object. + VectorStoreObject: + properties: + id: + type: string + title: Id + object: + type: string + title: Object + default: vector_store + created_at: + type: integer + title: Created At + name: + anyOf: + - type: string + - type: 'null' + title: Name + usage_bytes: + type: integer + title: Usage Bytes + default: 0 + file_counts: + $ref: '#/components/schemas/VectorStoreFileCounts' + status: + type: string + title: Status + default: completed + expires_after: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Expires After + expires_at: + anyOf: + - type: integer + - type: 'null' + title: Expires At + last_active_at: + anyOf: + - type: integer + - type: 'null' + title: Last Active At + metadata: + additionalProperties: true + type: object + title: Metadata + type: object + required: + - id + - created_at + - file_counts + title: VectorStoreObject + description: OpenAI Vector Store object. + VectorStoreSearchResponse: + properties: + file_id: + type: string + title: File Id + filename: + type: string + title: Filename + score: + type: number + title: Score + attributes: + anyOf: + - additionalProperties: + anyOf: + - type: string + - type: number + - type: boolean + type: object + - type: 'null' + title: Attributes + content: + items: + $ref: '#/components/schemas/VectorStoreContent' + type: array + title: Content + type: object + required: + - file_id + - filename + - score + - content + title: VectorStoreSearchResponse + description: Response from searching a vector store. + VectorStoreSearchResponsePage: + properties: + object: + type: string + title: Object + default: vector_store.search_results.page + search_query: + items: + type: string + type: array + title: Search Query + data: + items: + $ref: '#/components/schemas/VectorStoreSearchResponse' + type: array + title: Data + has_more: + type: boolean + title: Has More + default: false + next_page: + anyOf: + - type: string + - type: 'null' + title: Next Page + type: object + required: + - search_query + - data + title: VectorStoreSearchResponsePage + description: Paginated response from searching a vector store. + VersionInfo: + properties: + version: + type: string + title: Version + type: object + required: + - version + title: VersionInfo + description: Version information for the service. + ViolationLevel: + type: string + enum: + - info + - warn + - error + title: ViolationLevel + description: Severity level of a safety violation. + _URLOrData: + properties: + url: + anyOf: + - $ref: '#/components/schemas/URL' + - type: 'null' + data: + anyOf: + - type: string + - type: 'null' + contentEncoding: base64 + title: Data + type: object + title: _URLOrData + description: A URL or a base64 encoded string + _datasets_Request: + properties: + purpose: + title: Purpose + source: + title: Source + metadata: + title: Metadata + dataset_id: + title: Dataset Id + type: object + required: + - purpose + - source + title: _datasets_Request + _eval_benchmarks_benchmark_id_evaluations_Request: + properties: + input_rows: + items: + additionalProperties: true + type: object + type: array + title: Input Rows + scoring_functions: + items: + type: string + type: array + title: Scoring Functions + benchmark_config: + $ref: '#/components/schemas/BenchmarkConfig' + type: object + required: + - input_rows + - scoring_functions + - benchmark_config + title: _eval_benchmarks_benchmark_id_evaluations_Request + _inference_rerank_Request: + properties: + model: + type: string + title: Model + query: + anyOf: + - type: string + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + title: Query + items: + items: + anyOf: + - type: string + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + type: array + title: Items + max_num_results: + anyOf: + - type: integer + - type: 'null' + title: Max Num Results + type: object + required: + - model + - query + - items + title: _inference_rerank_Request + _post_training_preference_optimize_Request: properties: job_uuid: type: string - description: The UUID of the job to create. + title: Job Uuid + finetuned_model: + type: string + title: Finetuned Model + algorithm_config: + $ref: '#/components/schemas/DPOAlignmentConfig' training_config: $ref: '#/components/schemas/TrainingConfig' - description: The training configuration. hyperparam_search_config: + additionalProperties: true type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: The hyperparam search configuration. + title: Hyperparam Search Config logger_config: + additionalProperties: true type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: The logger configuration. - model: - type: string - description: The model to fine-tune. - checkpoint_dir: - type: string - description: The directory to save checkpoint(s) to. - algorithm_config: - $ref: '#/components/schemas/AlgorithmConfig' - description: The algorithm configuration. - additionalProperties: false + title: Logger Config + type: object required: - job_uuid - training_config @@ -2266,8 +5549,7 @@ components: title: Bad Request detail: The request was invalid or malformed TooManyRequests429: - description: >- - The client has sent too many requests in a given amount of time + description: The client has sent too many requests in a given amount of time content: application/json: schema: @@ -2275,11 +5557,9 @@ components: example: status: 429 title: Too Many Requests - detail: >- - You have exceeded the rate limit. Please try again later. + detail: You have exceeded the rate limit. Please try again later. InternalServerError500: - description: >- - The server encountered an unexpected error + description: The server encountered an unexpected error content: application/json: schema: @@ -2287,38 +5567,10 @@ components: example: status: 500 title: Internal Server Error - detail: >- - An unexpected error occurred. Our team has been notified. + detail: An unexpected error occurred DefaultError: - description: An unexpected error occurred + description: An error occurred content: application/json: schema: $ref: '#/components/schemas/Error' - example: - status: 0 - title: Error - detail: An unexpected error occurred -security: - - Default: [] -tags: - - name: Benchmarks - description: '' - - name: DatasetIO - description: '' - - name: Datasets - description: '' - - name: Eval - description: >- - Llama Stack Evaluation API for running evaluations on model and agent candidates. - x-displayName: Evaluations - - name: PostTraining (Coming Soon) - description: '' -x-tagGroups: - - name: Operations - tags: - - Benchmarks - - DatasetIO - - Datasets - - Eval - - PostTraining (Coming Soon) diff --git a/docs/static/llama-stack-spec.yaml b/docs/static/llama-stack-spec.yaml index 66eda78c7..180215eeb 100644 --- a/docs/static/llama-stack-spec.yaml +++ b/docs/static/llama-stack-spec.yaml @@ -1,16 +1,16 @@ openapi: 3.1.0 info: title: Llama Stack Specification - version: v1 - description: >- + description: |- This is the specification of the Llama Stack that provides - a set of endpoints and their corresponding interfaces that are - tailored to - best leverage Llama Models. + a set of endpoints and their corresponding interfaces that are + tailored to + best leverage Llama Models. - **✅ STABLE**: Production-ready APIs with backward compatibility guarantees. + **✅ STABLE**: Production-ready APIs with backward compatibility guarantees. + version: v1 servers: - - url: http://any-hosted-llama-stack.com +- url: http://any-hosted-llama-stack.com paths: /v1/batches: get: @@ -1340,41 +1340,142 @@ paths: deprecated: false /v1/providers/{provider_id}: get: + tags: + - Providers + summary: Inspect Provider + description: |- + Get provider. + + Get detailed information about a specific provider. + operationId: inspect_provider_v1_providers__provider_id__get responses: '200': - description: >- - A ProviderInfo object containing the provider's details. + description: A ProviderInfo object containing the provider's details. content: application/json: schema: $ref: '#/components/schemas/ProviderInfo' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: provider_id + in: path + required: true + schema: + type: string + description: 'Path parameter: provider_id' + /v1/providers: + get: + tags: + - Providers + summary: List Providers + description: |- + List providers. + + List all available providers. + operationId: list_providers_v1_providers_get + responses: + '200': + description: A ListProvidersResponse containing information about all providers. + content: + application/json: + schema: + $ref: '#/components/schemas/ListProvidersResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/responses: + post: + tags: + - Agents + summary: Create Openai Response + description: Create a model response. + operationId: create_openai_response_v1_responses_post + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/_responses_Request' + responses: + '200': + description: An OpenAIResponseObject. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIResponseObject' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' - tags: - - Providers - summary: Get provider. - description: >- - Get provider. - - Get detailed information about a specific provider. - parameters: - - name: provider_id - in: path - description: The ID of the provider to inspect. - required: true - schema: - type: string - deprecated: false - /v1/responses: + description: Default Response get: + tags: + - Agents + summary: List Openai Responses + description: List all responses. + operationId: list_openai_responses_v1_responses_get + parameters: + - name: after + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: After + - name: limit + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + default: 50 + title: Limit + - name: model + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: Model + - name: order + in: query + required: false + schema: + anyOf: + - $ref: '#/components/schemas/Order' + - type: 'null' + default: desc + title: Order responses: '200': description: A ListOpenAIResponseObject. @@ -1384,92 +1485,23 @@ paths: $ref: '#/components/schemas/ListOpenAIResponseObject' '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' - tags: - - Agents - summary: List all responses. - description: List all responses. - parameters: - - name: after - in: query - description: The ID of the last response to return. - required: false - schema: - type: string - - name: limit - in: query - description: The number of responses to return. - required: false - schema: - type: integer - - name: model - in: query - description: The model to filter responses by. - required: false - schema: - type: string - - name: order - in: query - description: >- - The order to sort responses by when sorted by created_at ('asc' or 'desc'). - required: false - schema: - $ref: '#/components/schemas/Order' - deprecated: false - post: - responses: - '200': - description: An OpenAIResponseObject. - content: - application/json: - schema: - $ref: '#/components/schemas/OpenAIResponseObject' - text/event-stream: - schema: - $ref: '#/components/schemas/OpenAIResponseObjectStream' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - Agents - summary: Create a model response. - description: Create a model response. - parameters: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/CreateOpenaiResponseRequest' - required: true - deprecated: false - x-llama-stack-extra-body-params: - - name: guardrails - schema: - type: array - items: - oneOf: - - type: string - - $ref: '#/components/schemas/ResponseGuardrailSpec' - description: >- - List of guardrails to apply during response generation. Guardrails provide - safety and content moderation. - required: false + description: Default Response /v1/responses/{response_id}: get: + tags: + - Agents + summary: Get Openai Response + description: Get a model response. + operationId: get_openai_response_v1_responses__response_id__get responses: '200': description: An OpenAIResponseObject. @@ -1478,29 +1510,30 @@ paths: schema: $ref: '#/components/schemas/OpenAIResponseObject' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - Agents - summary: Get a model response. - description: Get a model response. parameters: - - name: response_id - in: path - description: >- - The ID of the OpenAI response to retrieve. - required: true - schema: - type: string - deprecated: false + - name: response_id + in: path + required: true + schema: + type: string + description: 'Path parameter: response_id' delete: + tags: + - Agents + summary: Delete Openai Response + description: Delete a response. + operationId: delete_openai_response_v1_responses__response_id__delete responses: '200': description: An OpenAIDeleteResponseObject @@ -1509,29 +1542,82 @@ paths: schema: $ref: '#/components/schemas/OpenAIDeleteResponseObject' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - Agents - summary: Delete a response. - description: Delete a response. parameters: - - name: response_id - in: path - description: The ID of the OpenAI response to delete. - required: true - schema: - type: string - deprecated: false + - name: response_id + in: path + required: true + schema: + type: string + description: 'Path parameter: response_id' /v1/responses/{response_id}/input_items: get: + tags: + - Agents + summary: List Openai Response Input Items + description: List input items. + operationId: list_openai_response_input_items_v1_responses__response_id__input_items_get + parameters: + - name: after + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: After + - name: before + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: Before + - name: limit + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + default: 20 + title: Limit + - name: order + in: query + required: false + schema: + anyOf: + - $ref: '#/components/schemas/Order' + - type: 'null' + default: desc + title: Order + - name: response_id + in: path + required: true + schema: + type: string + description: 'Path parameter: response_id' + requestBody: + content: + application/json: + schema: + anyOf: + - type: array + items: + type: string + - type: 'null' + title: Include responses: '200': description: An ListOpenAIResponseInputItem. @@ -1541,67 +1627,1425 @@ paths: $ref: '#/components/schemas/ListOpenAIResponseInputItem' '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/chat/completions/{completion_id}: + get: tags: - - Agents - summary: List input items. - description: List input items. + - Inference + summary: Get Chat Completion + description: |- + Get chat completion. + + Describe a chat completion by its ID. + operationId: get_chat_completion_v1_chat_completions__completion_id__get + responses: + '200': + description: A OpenAICompletionWithInputMessages. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAICompletionWithInputMessages' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' parameters: - - name: response_id - in: path - description: >- - The ID of the response to retrieve input items for. - required: true - schema: + - name: completion_id + in: path + required: true + schema: + type: string + description: 'Path parameter: completion_id' + /v1/chat/completions: + get: + tags: + - Inference + summary: List Chat Completions + description: List chat completions. + operationId: list_chat_completions_v1_chat_completions_get + parameters: + - name: after + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: After + - name: limit + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + default: 20 + title: Limit + - name: model + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: Model + - name: order + in: query + required: false + schema: + anyOf: + - $ref: '#/components/schemas/Order' + - type: 'null' + default: desc + title: Order + responses: + '200': + description: A ListOpenAIChatCompletionResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListOpenAIChatCompletionResponse' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + post: + tags: + - Inference + summary: Openai Chat Completion + description: |- + Create chat completions. + + Generate an OpenAI-compatible chat completion for the given messages using the specified model. + operationId: openai_chat_completion_v1_chat_completions_post + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIChatCompletionRequestWithExtraBody' + responses: + '200': + description: An OpenAIChatCompletion. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIChatCompletion' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/completions: + post: + tags: + - Inference + summary: Openai Completion + description: |- + Create completion. + + Generate an OpenAI-compatible completion for the given prompt using the specified model. + operationId: openai_completion_v1_completions_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAICompletionRequestWithExtraBody' + required: true + responses: + '200': + description: An OpenAICompletion. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAICompletion' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/embeddings: + post: + tags: + - Inference + summary: Openai Embeddings + description: |- + Create embeddings. + + Generate OpenAI-compatible embeddings for the given input using the specified model. + operationId: openai_embeddings_v1_embeddings_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIEmbeddingsRequestWithExtraBody' + required: true + responses: + '200': + description: An OpenAIEmbeddingsResponse containing the embeddings. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIEmbeddingsResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/health: + get: + tags: + - Inspect + summary: Health + description: |- + Get health status. + + Get the current health status of the service. + operationId: health_v1_health_get + responses: + '200': + description: Health information indicating if the service is operational. + content: + application/json: + schema: + $ref: '#/components/schemas/HealthInfo' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/inspect/routes: + get: + tags: + - Inspect + summary: List Routes + description: |- + List routes. + + List all available API routes with their methods and implementing providers. + operationId: list_routes_v1_inspect_routes_get + parameters: + - name: api_filter + in: query + required: false + schema: + anyOf: + - enum: + - v1 + - v1alpha + - v1beta + - deprecated type: string - - name: after - in: query - description: >- - An item ID to list items after, used for pagination. - required: false - schema: + - type: 'null' + title: Api Filter + responses: + '200': + description: Response containing information about all available routes. + content: + application/json: + schema: + $ref: '#/components/schemas/ListRoutesResponse' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/version: + get: + tags: + - Inspect + summary: Version + description: |- + Get version. + + Get the version of the service. + operationId: version_v1_version_get + responses: + '200': + description: Version information containing the service version number. + content: + application/json: + schema: + $ref: '#/components/schemas/VersionInfo' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/batches/{batch_id}/cancel: + post: + tags: + - Batches + summary: Cancel Batch + description: Cancel a batch that is in progress. + operationId: cancel_batch_v1_batches__batch_id__cancel_post + responses: + '200': + description: The updated batch object. + content: + application/json: + schema: + $ref: '#/components/schemas/Batch' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: batch_id + in: path + required: true + schema: + type: string + description: 'Path parameter: batch_id' + /v1/batches: + post: + tags: + - Batches + summary: Create Batch + description: Create a new batch for processing multiple API requests. + operationId: create_batch_v1_batches_post + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/_batches_Request' + responses: + '200': + description: The created batch object. + content: + application/json: + schema: + $ref: '#/components/schemas/Batch' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + get: + tags: + - Batches + summary: List Batches + description: List all batches for the current user. + operationId: list_batches_v1_batches_get + parameters: + - name: after + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: After + - name: limit + in: query + required: false + schema: + type: integer + default: 20 + title: Limit + responses: + '200': + description: A list of batch objects. + content: + application/json: + schema: + $ref: '#/components/schemas/ListBatchesResponse' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/batches/{batch_id}: + get: + tags: + - Batches + summary: Retrieve Batch + description: Retrieve information about a specific batch. + operationId: retrieve_batch_v1_batches__batch_id__get + responses: + '200': + description: The batch object. + content: + application/json: + schema: + $ref: '#/components/schemas/Batch' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: batch_id + in: path + required: true + schema: + type: string + description: 'Path parameter: batch_id' + /v1/vector-io/insert: + post: + tags: + - Vector Io + summary: Insert Chunks + description: Insert chunks into a vector database. + operationId: insert_chunks_v1_vector_io_insert_post + requestBody: + required: true + content: + application/json: + schema: + type: array + items: + $ref: '#/components/schemas/Chunk-Input' + title: Chunks + responses: + '200': + description: Successful Response + content: + application/json: + schema: {} + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/vector_stores/{vector_store_id}/files: + post: + tags: + - Vector Io + summary: Openai Attach File To Vector Store + description: Attach a file to a vector store. + operationId: openai_attach_file_to_vector_store_v1_vector_stores__vector_store_id__files_post + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/_vector_stores_vector_store_id_files_Request' + responses: + '200': + description: A VectorStoreFileObject representing the attached file. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileObject' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + get: + tags: + - Vector Io + summary: Openai List Files In Vector Store + description: List files in a vector store. + operationId: openai_list_files_in_vector_store_v1_vector_stores__vector_store_id__files_get + parameters: + - name: after + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: After + - name: before + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: Before + - name: filter + in: query + required: false + schema: + anyOf: + - const: completed type: string - - name: before - in: query - description: >- - An item ID to list items before, used for pagination. - required: false - schema: + - const: in_progress type: string - - name: include - in: query - description: >- - Additional fields to include in the response. - required: false - schema: - type: array - items: - type: string - - name: limit - in: query - description: >- - A limit on the number of objects to be returned. Limit can range between - 1 and 100, and the default is 20. - required: false - schema: - type: integer - - name: order - in: query - description: >- - The order to return the input items in. Default is desc. - required: false - schema: - $ref: '#/components/schemas/Order' - deprecated: false + - const: cancelled + type: string + - const: failed + type: string + - type: 'null' + title: Filter + - name: limit + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + default: 20 + title: Limit + - name: order + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + default: desc + title: Order + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + responses: + '200': + description: A VectorStoreListFilesResponse containing the list of files. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreListFilesResponse' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/vector_stores/{vector_store_id}/file_batches/{batch_id}/cancel: + post: + tags: + - Vector Io + summary: Openai Cancel Vector Store File Batch + description: Cancels a vector store file batch. + operationId: openai_cancel_vector_store_file_batch_v1_vector_stores__vector_store_id__file_batches__batch_id__cancel_post + responses: + '200': + description: A VectorStoreFileBatchObject representing the cancelled file batch. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileBatchObject' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + - name: batch_id + in: path + required: true + schema: + type: string + description: 'Path parameter: batch_id' + /v1/vector_stores: + post: + tags: + - Vector Io + summary: Openai Create Vector Store + description: |- + Creates a vector store. + + Generate an OpenAI-compatible vector store with the given parameters. + operationId: openai_create_vector_store_v1_vector_stores_post + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAICreateVectorStoreRequestWithExtraBody' + responses: + '200': + description: A VectorStoreObject representing the created vector store. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreObject' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + get: + tags: + - Vector Io + summary: Openai List Vector Stores + description: Returns a list of vector stores. + operationId: openai_list_vector_stores_v1_vector_stores_get + parameters: + - name: after + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: After + - name: before + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: Before + - name: limit + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + default: 20 + title: Limit + - name: order + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + default: desc + title: Order + responses: + '200': + description: A VectorStoreListResponse containing the list of vector stores. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreListResponse' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/vector_stores/{vector_store_id}/file_batches: + post: + tags: + - Vector Io + summary: Openai Create Vector Store File Batch + description: |- + Create a vector store file batch. + + Generate an OpenAI-compatible vector store file batch for the given vector store. + operationId: openai_create_vector_store_file_batch_v1_vector_stores__vector_store_id__file_batches_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAICreateVectorStoreFileBatchRequestWithExtraBody' + required: true + responses: + '200': + description: A VectorStoreFileBatchObject representing the created file batch. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileBatchObject' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + /v1/vector_stores/{vector_store_id}: + get: + tags: + - Vector Io + summary: Openai Retrieve Vector Store + description: Retrieves a vector store. + operationId: openai_retrieve_vector_store_v1_vector_stores__vector_store_id__get + responses: + '200': + description: A VectorStoreObject representing the vector store. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreObject' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + post: + tags: + - Vector Io + summary: Openai Update Vector Store + description: Updates a vector store. + operationId: openai_update_vector_store_v1_vector_stores__vector_store_id__post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_vector_stores_vector_store_id_Request' + required: true + responses: + '200': + description: A VectorStoreObject representing the updated vector store. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreObject' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + delete: + tags: + - Vector Io + summary: Openai Delete Vector Store + description: Delete a vector store. + operationId: openai_delete_vector_store_v1_vector_stores__vector_store_id__delete + responses: + '200': + description: A VectorStoreDeleteResponse indicating the deletion status. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreDeleteResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + /v1/vector_stores/{vector_store_id}/files/{file_id}: + get: + tags: + - Vector Io + summary: Openai Retrieve Vector Store File + description: Retrieves a vector store file. + operationId: openai_retrieve_vector_store_file_v1_vector_stores__vector_store_id__files__file_id__get + responses: + '200': + description: A VectorStoreFileObject representing the file. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileObject' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + - name: file_id + in: path + required: true + schema: + type: string + description: 'Path parameter: file_id' + post: + tags: + - Vector Io + summary: Openai Update Vector Store File + description: Updates a vector store file. + operationId: openai_update_vector_store_file_v1_vector_stores__vector_store_id__files__file_id__post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_vector_stores_vector_store_id_files_file_id_Request' + required: true + responses: + '200': + description: A VectorStoreFileObject representing the updated file. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileObject' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + - name: file_id + in: path + required: true + schema: + type: string + description: 'Path parameter: file_id' + delete: + tags: + - Vector Io + summary: Openai Delete Vector Store File + description: Delete a vector store file. + operationId: openai_delete_vector_store_file_v1_vector_stores__vector_store_id__files__file_id__delete + responses: + '200': + description: A VectorStoreFileDeleteResponse indicating the deletion status. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileDeleteResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + - name: file_id + in: path + required: true + schema: + type: string + description: 'Path parameter: file_id' + /v1/vector_stores/{vector_store_id}/file_batches/{batch_id}/files: + get: + tags: + - Vector Io + summary: Openai List Files In Vector Store File Batch + description: Returns a list of vector store files in a batch. + operationId: openai_list_files_in_vector_store_file_batch_v1_vector_stores__vector_store_id__file_batches__batch_id__files_get + parameters: + - name: after + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: After + - name: before + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: Before + - name: filter + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: Filter + - name: limit + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + default: 20 + title: Limit + - name: order + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + default: desc + title: Order + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + - name: batch_id + in: path + required: true + schema: + type: string + description: 'Path parameter: batch_id' + responses: + '200': + description: A VectorStoreFilesListInBatchResponse containing the list of files in the batch. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFilesListInBatchResponse' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/vector_stores/{vector_store_id}/file_batches/{batch_id}: + get: + tags: + - Vector Io + summary: Openai Retrieve Vector Store File Batch + description: Retrieve a vector store file batch. + operationId: openai_retrieve_vector_store_file_batch_v1_vector_stores__vector_store_id__file_batches__batch_id__get + responses: + '200': + description: A VectorStoreFileBatchObject representing the file batch. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileBatchObject' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + - name: batch_id + in: path + required: true + schema: + type: string + description: 'Path parameter: batch_id' + /v1/vector_stores/{vector_store_id}/files/{file_id}/content: + get: + tags: + - Vector Io + summary: Openai Retrieve Vector Store File Contents + description: Retrieves the contents of a vector store file. + operationId: openai_retrieve_vector_store_file_contents_v1_vector_stores__vector_store_id__files__file_id__content_get + responses: + '200': + description: A list of InterleavedContent representing the file contents. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileContentsResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + - name: file_id + in: path + required: true + schema: + type: string + description: 'Path parameter: file_id' + /v1/vector_stores/{vector_store_id}/search: + post: + tags: + - Vector Io + summary: Openai Search Vector Store + description: |- + Search for chunks in a vector store. + + Searches a vector store for relevant chunks based on a query and optional file attribute filters. + operationId: openai_search_vector_store_v1_vector_stores__vector_store_id__search_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_vector_stores_vector_store_id_search_Request' + required: true + responses: + '200': + description: A VectorStoreSearchResponse containing the search results. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreSearchResponsePage' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + /v1/vector-io/query: + post: + tags: + - Vector Io + summary: Query Chunks + description: Query chunks from a vector database. + operationId: query_chunks_v1_vector_io_query_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_vector_io_query_Request' + required: true + responses: + '200': + description: A QueryChunksResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/QueryChunksResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/models/{model_id}: + get: + tags: + - Models + summary: Get Model + description: |- + Get model. + + Get a model by its identifier. + operationId: get_model_v1_models__model_id__get + responses: + '200': + description: A Model. + content: + application/json: + schema: + $ref: '#/components/schemas/Model' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: model_id + in: path + required: true + schema: + type: string + description: 'Path parameter: model_id' + delete: + tags: + - Models + summary: Unregister Model + description: |- + Unregister model. + + Unregister a model. + operationId: unregister_model_v1_models__model_id__delete + responses: + '200': + description: Successful Response + content: + application/json: + schema: {} + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: model_id + in: path + required: true + schema: + type: string + description: 'Path parameter: model_id' + /v1/models: + get: + tags: + - Models + summary: Openai List Models + description: List models using the OpenAI API. + operationId: openai_list_models_v1_models_get + responses: + '200': + description: A OpenAIListModelsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIListModelsResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + post: + tags: + - Models + summary: Register Model + description: |- + Register model. + + Register a model. + operationId: register_model_v1_models_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_models_Request' + required: true + responses: + '200': + description: A Model. + content: + application/json: + schema: + $ref: '#/components/schemas/Model' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/moderations: + post: + tags: + - Safety + summary: Run Moderation + description: |- + Create moderation. + + Classifies if text and/or image inputs are potentially harmful. + operationId: run_moderation_v1_moderations_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_moderations_Request' + required: true + responses: + '200': + description: A moderation object. + content: + application/json: + schema: + $ref: '#/components/schemas/ModerationObject' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' /v1/safety/run-shield: post: + tags: + - Safety + summary: Run Shield + description: |- + Run shield. + + Run a shield. + operationId: run_shield_v1_safety_run_shield_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_safety_run_shield_Request' + required: true responses: '200': description: A RunShieldResponse. @@ -1610,32 +3054,273 @@ paths: schema: $ref: '#/components/schemas/RunShieldResponse' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' + /v1/shields/{identifier}: + get: tags: - - Safety - summary: Run shield. - description: >- - Run shield. - - Run a shield. - parameters: [] + - Shields + summary: Get Shield + description: Get a shield by its identifier. + operationId: get_shield_v1_shields__identifier__get + responses: + '200': + description: A Shield. + content: + application/json: + schema: + $ref: '#/components/schemas/Shield' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: identifier + in: path + required: true + schema: + type: string + description: 'Path parameter: identifier' + delete: + tags: + - Shields + summary: Unregister Shield + description: Unregister a shield. + operationId: unregister_shield_v1_shields__identifier__delete + responses: + '200': + description: Successful Response + content: + application/json: + schema: {} + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: identifier + in: path + required: true + schema: + type: string + description: 'Path parameter: identifier' + /v1/shields: + get: + tags: + - Shields + summary: List Shields + description: List all shields. + operationId: list_shields_v1_shields_get + responses: + '200': + description: A ListShieldsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListShieldsResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + post: + tags: + - Shields + summary: Register Shield + description: Register a shield. + operationId: register_shield_v1_shields_post requestBody: content: application/json: schema: - $ref: '#/components/schemas/RunShieldRequest' + $ref: '#/components/schemas/_shields_Request' required: true - deprecated: false + responses: + '200': + description: A Shield. + content: + application/json: + schema: + $ref: '#/components/schemas/Shield' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/scoring/score: + post: + tags: + - Scoring + summary: Score + description: Score a list of rows. + operationId: score_v1_scoring_score_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_scoring_score_Request' + required: true + responses: + '200': + description: A ScoreResponse object containing rows and aggregated results. + content: + application/json: + schema: + $ref: '#/components/schemas/ScoreResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/scoring/score-batch: + post: + tags: + - Scoring + summary: Score Batch + description: Score a batch of rows. + operationId: score_batch_v1_scoring_score_batch_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_scoring_score_batch_Request' + required: true + responses: + '200': + description: A ScoreBatchResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ScoreBatchResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/scoring-functions/{scoring_fn_id}: + get: + tags: + - Scoring Functions + summary: Get Scoring Function + description: Get a scoring function by its ID. + operationId: get_scoring_function_v1_scoring_functions__scoring_fn_id__get + responses: + '200': + description: A ScoringFn. + content: + application/json: + schema: + $ref: '#/components/schemas/ScoringFn' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: scoring_fn_id + in: path + required: true + schema: + type: string + description: 'Path parameter: scoring_fn_id' + delete: + tags: + - Scoring Functions + summary: Unregister Scoring Function + description: Unregister a scoring function. + operationId: unregister_scoring_function_v1_scoring_functions__scoring_fn_id__delete + responses: + '200': + description: Successful Response + content: + application/json: + schema: {} + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: scoring_fn_id + in: path + required: true + schema: + type: string + description: 'Path parameter: scoring_fn_id' /v1/scoring-functions: get: + tags: + - Scoring Functions + summary: List Scoring Functions + description: List all scoring functions. + operationId: list_scoring_functions_v1_scoring_functions_get responses: '200': description: A ListScoringFunctionsResponse. @@ -1645,12 +3330,13 @@ paths: $ref: '#/components/schemas/ListScoringFunctionsResponse' '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' tags: @@ -1663,25 +3349,48 @@ paths: get: responses: '200': - description: A ScoringFn. + description: Successful Response + content: + application/json: + schema: {} + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/tools/{tool_name}: + get: + tags: + - Tool Groups + summary: Get Tool + description: Get a tool by its name. + operationId: get_tool_v1_tools__tool_name__get + responses: + '200': + description: A ToolDef. content: application/json: schema: - $ref: '#/components/schemas/ScoringFn' + $ref: '#/components/schemas/ToolDef' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - ScoringFunctions - summary: Get a scoring function by its ID. - description: Get a scoring function by its ID. parameters: - name: scoring_fn_id in: path @@ -1881,6 +3590,11 @@ paths: deprecated: false /v1/toolgroups: get: + tags: + - Tool Groups + summary: List Tool Groups + description: List tool groups with optional provider. + operationId: list_tool_groups_v1_toolgroups_get responses: '200': description: A ListToolGroupsResponse. @@ -1890,12 +3604,13 @@ paths: $ref: '#/components/schemas/ListToolGroupsResponse' '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' tags: @@ -1908,19 +3623,19 @@ paths: get: responses: '200': - description: A ToolGroup. + description: Successful Response content: application/json: - schema: - $ref: '#/components/schemas/ToolGroup' + schema: {} '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' tags: @@ -1937,6 +3652,20 @@ paths: deprecated: false /v1/tools: get: + tags: + - Tool Groups + summary: List Tools + description: List tools with optional tool group. + operationId: list_tools_v1_tools_get + parameters: + - name: toolgroup_id + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: Toolgroup Id responses: '200': description: A ListToolDefsResponse. @@ -1946,724 +3675,359 @@ paths: $ref: '#/components/schemas/ListToolDefsResponse' '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' - tags: - - ToolGroups - summary: List tools with optional tool group. - description: List tools with optional tool group. - parameters: - - name: toolgroup_id - in: query - description: >- - The ID of the tool group to list tools for. - required: false - schema: - type: string - deprecated: false - /v1/tools/{tool_name}: - get: - responses: - '200': - description: A ToolDef. - content: - application/json: - schema: - $ref: '#/components/schemas/ToolDef' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - ToolGroups - summary: Get a tool by its name. - description: Get a tool by its name. - parameters: - - name: tool_name - in: path - description: The name of the tool to get. - required: true - schema: - type: string - deprecated: false - /v1/vector-io/insert: + description: Default Response + /v1/tool-runtime/invoke: post: - responses: - '200': - description: OK - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - - VectorIO - summary: Insert chunks into a vector database. - description: Insert chunks into a vector database. - parameters: [] + - Tool Runtime + summary: Invoke Tool + description: Run a tool with the given arguments. + operationId: invoke_tool_v1_tool_runtime_invoke_post requestBody: content: application/json: schema: - $ref: '#/components/schemas/InsertChunksRequest' + $ref: '#/components/schemas/_tool_runtime_invoke_Request' required: true - deprecated: false - /v1/vector-io/query: - post: responses: '200': - description: A QueryChunksResponse. + description: A ToolInvocationResult. content: application/json: schema: - $ref: '#/components/schemas/QueryChunksResponse' + $ref: '#/components/schemas/ToolInvocationResult' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' + /v1/tool-runtime/list-tools: + get: tags: - - VectorIO - summary: Query chunks from a vector database. - description: Query chunks from a vector database. - parameters: [] + - Tool Runtime + summary: List Runtime Tools + description: List all tools in the runtime. + operationId: list_runtime_tools_v1_tool_runtime_list_tools_get + parameters: + - name: tool_group_id + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: Tool Group Id requestBody: content: application/json: schema: - $ref: '#/components/schemas/QueryChunksRequest' - required: true - deprecated: false - /v1/vector_stores: + anyOf: + - $ref: '#/components/schemas/URL' + - type: 'null' + title: Mcp Endpoint + responses: + '200': + description: A ListToolDefsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListToolDefsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/files/{file_id}: get: - responses: - '200': - description: >- - A VectorStoreListResponse containing the list of vector stores. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreListResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - - VectorIO - summary: Returns a list of vector stores. - description: Returns a list of vector stores. - parameters: - - name: limit - in: query - description: >- - A limit on the number of objects to be returned. Limit can range between - 1 and 100, and the default is 20. - required: false - schema: - type: integer - - name: order - in: query - description: >- - Sort order by the `created_at` timestamp of the objects. `asc` for ascending - order and `desc` for descending order. - required: false - schema: - type: string - - name: after - in: query - description: >- - A cursor for use in pagination. `after` is an object ID that defines your - place in the list. - required: false - schema: - type: string - - name: before - in: query - description: >- - A cursor for use in pagination. `before` is an object ID that defines - your place in the list. - required: false - schema: - type: string - deprecated: false - post: - responses: - '200': - description: >- - A VectorStoreObject representing the created vector store. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreObject' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: Creates a vector store. - description: >- - Creates a vector store. + - Files + summary: Openai Retrieve File + description: |- + Retrieve file. - Generate an OpenAI-compatible vector store with the given parameters. - parameters: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/OpenAICreateVectorStoreRequestWithExtraBody' - required: true - deprecated: false - /v1/vector_stores/{vector_store_id}: - get: + Returns information about a specific file. + operationId: openai_retrieve_file_v1_files__file_id__get responses: '200': - description: >- - A VectorStoreObject representing the vector store. + description: An OpenAIFileObject containing file information. content: application/json: schema: - $ref: '#/components/schemas/VectorStoreObject' + $ref: '#/components/schemas/OpenAIFileObject' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: Retrieves a vector store. - description: Retrieves a vector store. parameters: - - name: vector_store_id - in: path - description: The ID of the vector store to retrieve. - required: true - schema: - type: string - deprecated: false - post: - responses: - '200': - description: >- - A VectorStoreObject representing the updated vector store. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreObject' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: Updates a vector store. - description: Updates a vector store. - parameters: - - name: vector_store_id - in: path - description: The ID of the vector store to update. - required: true - schema: - type: string - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/OpenaiUpdateVectorStoreRequest' + - name: file_id + in: path required: true - deprecated: false + schema: + type: string + description: 'Path parameter: file_id' delete: + tags: + - Files + summary: Openai Delete File + description: Delete file. + operationId: openai_delete_file_v1_files__file_id__delete responses: '200': - description: >- - A VectorStoreDeleteResponse indicating the deletion status. + description: An OpenAIFileDeleteResponse indicating successful deletion. content: application/json: schema: - $ref: '#/components/schemas/VectorStoreDeleteResponse' + $ref: '#/components/schemas/OpenAIFileDeleteResponse' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: Delete a vector store. - description: Delete a vector store. parameters: - - name: vector_store_id - in: path - description: The ID of the vector store to delete. - required: true - schema: - type: string - deprecated: false - /v1/vector_stores/{vector_store_id}/file_batches: - post: - responses: - '200': - description: >- - A VectorStoreFileBatchObject representing the created file batch. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreFileBatchObject' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' + - name: file_id + in: path + required: true + schema: + type: string + description: 'Path parameter: file_id' + /v1/files: + get: tags: - - VectorIO - summary: Create a vector store file batch. - description: >- - Create a vector store file batch. + - Files + summary: Openai List Files + description: |- + List files. - Generate an OpenAI-compatible vector store file batch for the given vector - store. + Returns a list of files that belong to the user's organization. + operationId: openai_list_files_v1_files_get parameters: - - name: vector_store_id - in: path - description: >- - The ID of the vector store to create the file batch for. - required: true - schema: - type: string + - name: after + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: After + - name: limit + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + default: 10000 + title: Limit + - name: order + in: query + required: false + schema: + anyOf: + - $ref: '#/components/schemas/Order' + - type: 'null' + default: desc + title: Order + - name: purpose + in: query + required: false + schema: + anyOf: + - $ref: '#/components/schemas/OpenAIFilePurpose' + - type: 'null' + title: Purpose + responses: + '200': + description: An ListOpenAIFileResponse containing the list of files. + content: + application/json: + schema: + $ref: '#/components/schemas/ListOpenAIFileResponse' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + post: + tags: + - Files + summary: Openai Upload File + description: |- + Upload file. + + Upload a file that can be used across various endpoints. + + The file upload should be a multipart form request with: + - file: The File object (not file name) to be uploaded. + - purpose: The intended purpose of the uploaded file. + - expires_after: Optional form values describing expiration for the file. + operationId: openai_upload_file_v1_files_post + requestBody: + required: true + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/Body_openai_upload_file_v1_files_post' + responses: + '200': + description: An OpenAIFileObject representing the uploaded file. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIFileObject' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/files/{file_id}/content: + get: + tags: + - Files + summary: Openai Retrieve File Content + description: |- + Retrieve file content. + + Returns the contents of the specified file. + operationId: openai_retrieve_file_content_v1_files__file_id__content_get + responses: + '200': + description: The raw file content as a binary response. + content: + application/json: + schema: {} + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: file_id + in: path + required: true + schema: + type: string + description: 'Path parameter: file_id' + /v1/prompts: + get: + tags: + - Prompts + summary: List Prompts + description: List all prompts. + operationId: list_prompts_v1_prompts_get + responses: + '200': + description: A ListPromptsResponse containing all prompts. + content: + application/json: + schema: + $ref: '#/components/schemas/ListPromptsResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + post: + tags: + - Prompts + summary: Create Prompt + description: |- + Create prompt. + + Create a new prompt. + operationId: create_prompt_v1_prompts_post requestBody: content: application/json: schema: - $ref: '#/components/schemas/OpenAICreateVectorStoreFileBatchRequestWithExtraBody' + $ref: '#/components/schemas/_prompts_Request' required: true - deprecated: false - /v1/vector_stores/{vector_store_id}/file_batches/{batch_id}: - get: responses: '200': - description: >- - A VectorStoreFileBatchObject representing the file batch. + description: The created Prompt resource. content: application/json: schema: - $ref: '#/components/schemas/VectorStoreFileBatchObject' + $ref: '#/components/schemas/Prompt' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: Retrieve a vector store file batch. - description: Retrieve a vector store file batch. - parameters: - - name: batch_id - in: path - description: The ID of the file batch to retrieve. - required: true - schema: - type: string - - name: vector_store_id - in: path - description: >- - The ID of the vector store containing the file batch. - required: true - schema: - type: string - deprecated: false - /v1/vector_stores/{vector_store_id}/file_batches/{batch_id}/cancel: - post: - responses: - '200': - description: >- - A VectorStoreFileBatchObject representing the cancelled file batch. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreFileBatchObject' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: Cancels a vector store file batch. - description: Cancels a vector store file batch. - parameters: - - name: batch_id - in: path - description: The ID of the file batch to cancel. - required: true - schema: - type: string - - name: vector_store_id - in: path - description: >- - The ID of the vector store containing the file batch. - required: true - schema: - type: string - deprecated: false - /v1/vector_stores/{vector_store_id}/file_batches/{batch_id}/files: - get: - responses: - '200': - description: >- - A VectorStoreFilesListInBatchResponse containing the list of files in - the batch. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreFilesListInBatchResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: >- - Returns a list of vector store files in a batch. - description: >- - Returns a list of vector store files in a batch. - parameters: - - name: batch_id - in: path - description: >- - The ID of the file batch to list files from. - required: true - schema: - type: string - - name: vector_store_id - in: path - description: >- - The ID of the vector store containing the file batch. - required: true - schema: - type: string - - name: after - in: query - description: >- - A cursor for use in pagination. `after` is an object ID that defines your - place in the list. - required: false - schema: - type: string - - name: before - in: query - description: >- - A cursor for use in pagination. `before` is an object ID that defines - your place in the list. - required: false - schema: - type: string - - name: filter - in: query - description: >- - Filter by file status. One of in_progress, completed, failed, cancelled. - required: false - schema: - type: string - - name: limit - in: query - description: >- - A limit on the number of objects to be returned. Limit can range between - 1 and 100, and the default is 20. - required: false - schema: - type: integer - - name: order - in: query - description: >- - Sort order by the `created_at` timestamp of the objects. `asc` for ascending - order and `desc` for descending order. - required: false - schema: - type: string - deprecated: false - /v1/vector_stores/{vector_store_id}/files: - get: - responses: - '200': - description: >- - A VectorStoreListFilesResponse containing the list of files. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreListFilesResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: List files in a vector store. - description: List files in a vector store. - parameters: - - name: vector_store_id - in: path - description: >- - The ID of the vector store to list files from. - required: true - schema: - type: string - - name: limit - in: query - description: >- - (Optional) A limit on the number of objects to be returned. Limit can - range between 1 and 100, and the default is 20. - required: false - schema: - type: integer - - name: order - in: query - description: >- - (Optional) Sort order by the `created_at` timestamp of the objects. `asc` - for ascending order and `desc` for descending order. - required: false - schema: - type: string - - name: after - in: query - description: >- - (Optional) A cursor for use in pagination. `after` is an object ID that - defines your place in the list. - required: false - schema: - type: string - - name: before - in: query - description: >- - (Optional) A cursor for use in pagination. `before` is an object ID that - defines your place in the list. - required: false - schema: - type: string - - name: filter - in: query - description: >- - (Optional) Filter by file status to only return files with the specified - status. - required: false - schema: - $ref: '#/components/schemas/VectorStoreFileStatus' - deprecated: false - post: - responses: - '200': - description: >- - A VectorStoreFileObject representing the attached file. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreFileObject' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: Attach a file to a vector store. - description: Attach a file to a vector store. - parameters: - - name: vector_store_id - in: path - description: >- - The ID of the vector store to attach the file to. - required: true - schema: - type: string - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/OpenaiAttachFileToVectorStoreRequest' - required: true - deprecated: false - /v1/vector_stores/{vector_store_id}/files/{file_id}: - get: - responses: - '200': - description: >- - A VectorStoreFileObject representing the file. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreFileObject' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: Retrieves a vector store file. - description: Retrieves a vector store file. - parameters: - - name: vector_store_id - in: path - description: >- - The ID of the vector store containing the file to retrieve. - required: true - schema: - type: string - - name: file_id - in: path - description: The ID of the file to retrieve. - required: true - schema: - type: string - deprecated: false - post: - responses: - '200': - description: >- - A VectorStoreFileObject representing the updated file. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreFileObject' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: Updates a vector store file. - description: Updates a vector store file. - parameters: - - name: vector_store_id - in: path - description: >- - The ID of the vector store containing the file to update. - required: true - schema: - type: string - - name: file_id - in: path - description: The ID of the file to update. - required: true - schema: - type: string - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/OpenaiUpdateVectorStoreFileRequest' - required: true - deprecated: false + /v1/prompts/{prompt_id}: delete: - responses: - '200': - description: >- - A VectorStoreFileDeleteResponse indicating the deletion status. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreFileDeleteResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - VectorIO summary: Delete a vector store file. @@ -2765,1497 +4129,7579 @@ paths: description: >- Search for chunks in a vector store. - Searches a vector store for relevant chunks based on a query and optional - file attribute filters. + Delete a prompt. + operationId: delete_prompt_v1_prompts__prompt_id__delete + responses: + '200': + description: Successful Response + content: + application/json: + schema: {} + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response parameters: - - name: vector_store_id - in: path - description: The ID of the vector store to search. - required: true - schema: - type: string + - name: prompt_id + in: path + required: true + schema: + type: string + description: 'Path parameter: prompt_id' + get: + tags: + - Prompts + summary: Get Prompt + description: |- + Get prompt. + + Get a prompt by its identifier and optional version. + operationId: get_prompt_v1_prompts__prompt_id__get + parameters: + - name: version + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + title: Version + - name: prompt_id + in: path + required: true + schema: + type: string + description: 'Path parameter: prompt_id' + responses: + '200': + description: A Prompt resource. + content: + application/json: + schema: + $ref: '#/components/schemas/Prompt' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + post: + tags: + - Prompts + summary: Update Prompt + description: |- + Update prompt. + + Update an existing prompt (increments version). + operationId: update_prompt_v1_prompts__prompt_id__post + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/_prompts_prompt_id_Request' + responses: + '200': + description: The updated Prompt resource with incremented version. + content: + application/json: + schema: + $ref: '#/components/schemas/Prompt' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + parameters: + - name: prompt_id + in: path + required: true + schema: + type: string + description: 'Path parameter: prompt_id' + /v1/prompts/{prompt_id}/versions: + get: + tags: + - Prompts + summary: List Prompt Versions + description: |- + List prompt versions. + + List all versions of a specific prompt. + operationId: list_prompt_versions_v1_prompts__prompt_id__versions_get + responses: + '200': + description: A ListPromptsResponse containing all versions of the prompt. + content: + application/json: + schema: + $ref: '#/components/schemas/ListPromptsResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: prompt_id + in: path + required: true + schema: + type: string + description: 'Path parameter: prompt_id' + /v1/prompts/{prompt_id}/set-default-version: + post: + tags: + - Prompts + summary: Set Default Version + description: |- + Set prompt version. + + Set which version of a prompt should be the default in get_prompt (latest). + operationId: set_default_version_v1_prompts__prompt_id__set_default_version_post requestBody: content: application/json: schema: - $ref: '#/components/schemas/OpenaiSearchVectorStoreRequest' + $ref: '#/components/schemas/_prompts_prompt_id_set_default_version_Request' required: true - deprecated: false - /v1/version: - get: responses: '200': - description: >- - Version information containing the service version number. + description: The prompt with the specified version now set as default. content: application/json: schema: - $ref: '#/components/schemas/VersionInfo' + $ref: '#/components/schemas/Prompt' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: prompt_id + in: path + required: true + schema: + type: string + description: 'Path parameter: prompt_id' + /v1/conversations/{conversation_id}/items: + post: + tags: + - Conversations + summary: Add Items + description: |- + Create items. + + Create items in the conversation. + operationId: add_items_v1_conversations__conversation_id__items_post + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/_conversations_conversation_id_items_Request' + responses: + '200': + description: List of created items. + content: + application/json: + schema: + $ref: '#/components/schemas/ConversationItemList' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' + description: Default Response + parameters: + - name: conversation_id + in: path + required: true + schema: + type: string + description: 'Path parameter: conversation_id' + get: tags: - - Inspect - summary: Get version. - description: >- - Get version. + - Conversations + summary: List Items + description: |- + List items. - Get the version of the service. - parameters: [] - deprecated: false -jsonSchemaDialect: >- - https://json-schema.org/draft/2020-12/schema + List items in the conversation. + operationId: list_items_v1_conversations__conversation_id__items_get + parameters: + - name: after + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: After + - name: limit + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + title: Limit + - name: order + in: query + required: false + schema: + anyOf: + - enum: + - asc + - desc + type: string + - type: 'null' + title: Order + - name: conversation_id + in: path + required: true + schema: + type: string + description: 'Path parameter: conversation_id' + requestBody: + content: + application/json: + schema: + anyOf: + - type: array + items: + $ref: '#/components/schemas/ConversationItemInclude' + - type: 'null' + title: Include + responses: + '200': + description: List of conversation items. + content: + application/json: + schema: + $ref: '#/components/schemas/ConversationItemList' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/conversations: + post: + tags: + - Conversations + summary: Create Conversation + description: |- + Create a conversation. + + Create a conversation. + operationId: create_conversation_v1_conversations_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_conversations_Request' + required: true + responses: + '200': + description: The created conversation object. + content: + application/json: + schema: + $ref: '#/components/schemas/Conversation' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/conversations/{conversation_id}: + get: + tags: + - Conversations + summary: Get Conversation + description: |- + Retrieve a conversation. + + Get a conversation with the given ID. + operationId: get_conversation_v1_conversations__conversation_id__get + responses: + '200': + description: The conversation object. + content: + application/json: + schema: + $ref: '#/components/schemas/Conversation' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: conversation_id + in: path + required: true + schema: + type: string + description: 'Path parameter: conversation_id' + post: + tags: + - Conversations + summary: Update Conversation + description: |- + Update a conversation. + + Update a conversation's metadata with the given ID. + operationId: update_conversation_v1_conversations__conversation_id__post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_conversations_conversation_id_Request' + required: true + responses: + '200': + description: The updated conversation object. + content: + application/json: + schema: + $ref: '#/components/schemas/Conversation' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: conversation_id + in: path + required: true + schema: + type: string + description: 'Path parameter: conversation_id' + delete: + tags: + - Conversations + summary: Openai Delete Conversation + description: |- + Delete a conversation. + + Delete a conversation with the given ID. + operationId: openai_delete_conversation_v1_conversations__conversation_id__delete + responses: + '200': + description: The deleted conversation resource. + content: + application/json: + schema: + $ref: '#/components/schemas/ConversationDeletedResource' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: conversation_id + in: path + required: true + schema: + type: string + description: 'Path parameter: conversation_id' + /v1/conversations/{conversation_id}/items/{item_id}: + get: + tags: + - Conversations + summary: Retrieve + description: |- + Retrieve an item. + + Retrieve a conversation item. + operationId: retrieve_v1_conversations__conversation_id__items__item_id__get + responses: + '200': + description: The conversation item. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIResponseMessage' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: conversation_id + in: path + required: true + schema: + type: string + description: 'Path parameter: conversation_id' + - name: item_id + in: path + required: true + schema: + type: string + description: 'Path parameter: item_id' + delete: + tags: + - Conversations + summary: Openai Delete Conversation Item + description: |- + Delete an item. + + Delete a conversation item. + operationId: openai_delete_conversation_item_v1_conversations__conversation_id__items__item_id__delete + responses: + '200': + description: The deleted item resource. + content: + application/json: + schema: + $ref: '#/components/schemas/ConversationItemDeletedResource' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: conversation_id + in: path + required: true + schema: + type: string + description: 'Path parameter: conversation_id' + - name: item_id + in: path + required: true + schema: + type: string + description: 'Path parameter: item_id' components: schemas: - Error: - type: object + AggregationFunctionType: + type: string + enum: + - average + - weighted_average + - median + - categorical_count + - accuracy + title: AggregationFunctionType + description: Types of aggregation functions for scoring results. + AllowedToolsFilter: properties: - status: - type: integer - description: HTTP status code - title: - type: string - description: >- - Error title, a short summary of the error which is invariant for an error - type - detail: - type: string - description: >- - Error detail, a longer human-readable description of the error - instance: - type: string - description: >- - (Optional) A URL which can be used to retrieve more information about - the specific occurrence of the error - additionalProperties: false - required: - - status - - title - - detail - title: Error - description: >- - Error response from the API. Roughly follows RFC 7807. - ListBatchesResponse: + tool_names: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: Tool Names type: object + title: AllowedToolsFilter + description: Filter configuration for restricting which MCP tools can be used. + ArrayType: properties: - object: + type: type: string - const: list - default: list - data: - type: array + const: array + title: Type + default: array + type: object + title: ArrayType + description: Parameter type for array values. + BasicScoringFnParams: + properties: + type: + type: string + const: basic + title: Type + default: basic + aggregation_functions: items: - type: object - properties: - id: - type: string - completion_window: - type: string - created_at: - type: integer - endpoint: - type: string - input_file_id: - type: string - object: - type: string - const: batch - status: - type: string - enum: - - validating - - failed - - in_progress - - finalizing - - completed - - expired - - cancelling - - cancelled - cancelled_at: - type: integer - cancelling_at: - type: integer - completed_at: - type: integer - error_file_id: - type: string - errors: - type: object - properties: - data: - type: array - items: - type: object - properties: - code: - type: string - line: - type: integer - message: - type: string - param: - type: string - additionalProperties: false - title: BatchError - object: - type: string - additionalProperties: false - title: Errors - expired_at: - type: integer - expires_at: - type: integer - failed_at: - type: integer - finalizing_at: - type: integer - in_progress_at: - type: integer - metadata: - type: object - additionalProperties: - type: string - model: - type: string - output_file_id: - type: string - request_counts: - type: object - properties: - completed: - type: integer - failed: - type: integer - total: - type: integer - additionalProperties: false - required: - - completed - - failed - - total - title: BatchRequestCounts - usage: - type: object - properties: - input_tokens: - type: integer - input_tokens_details: - type: object - properties: - cached_tokens: - type: integer - additionalProperties: false - required: - - cached_tokens - title: InputTokensDetails - output_tokens: - type: integer - output_tokens_details: - type: object - properties: - reasoning_tokens: - type: integer - additionalProperties: false - required: - - reasoning_tokens - title: OutputTokensDetails - total_tokens: - type: integer - additionalProperties: false - required: - - input_tokens - - input_tokens_details - - output_tokens - - output_tokens_details - - total_tokens - title: BatchUsage - additionalProperties: false - required: - - id - - completion_window - - created_at - - endpoint - - input_file_id - - object - - status - title: Batch - first_id: - type: string - last_id: - type: string - has_more: - type: boolean - default: false - additionalProperties: false - required: - - object - - data - - has_more - title: ListBatchesResponse - description: >- - Response containing a list of batch objects. - CreateBatchRequest: + $ref: '#/components/schemas/AggregationFunctionType' + type: array + title: Aggregation Functions + description: Aggregation functions to apply to the scores of each row type: object - properties: - input_file_id: - type: string - description: >- - The ID of an uploaded file containing requests for the batch. - endpoint: - type: string - description: >- - The endpoint to be used for all requests in the batch. - completion_window: - type: string - const: 24h - description: >- - The time window within which the batch should be processed. - metadata: - type: object - additionalProperties: - type: string - description: Optional metadata for the batch. - idempotency_key: - type: string - description: >- - Optional idempotency key. When provided, enables idempotent behavior. - additionalProperties: false - required: - - input_file_id - - endpoint - - completion_window - title: CreateBatchRequest + title: BasicScoringFnParams + description: Parameters for basic scoring function configuration. Batch: - type: object properties: id: type: string + title: Id completion_window: type: string + title: Completion Window created_at: type: integer + title: Created At endpoint: type: string + title: Endpoint input_file_id: type: string + title: Input File Id object: type: string const: batch + title: Object status: type: string enum: - - validating - - failed - - in_progress - - finalizing - - completed - - expired - - cancelling - - cancelled + - validating + - failed + - in_progress + - finalizing + - completed + - expired + - cancelling + - cancelled + title: Status cancelled_at: - type: integer + anyOf: + - type: integer + - type: 'null' + title: Cancelled At cancelling_at: - type: integer + anyOf: + - type: integer + - type: 'null' + title: Cancelling At completed_at: - type: integer + anyOf: + - type: integer + - type: 'null' + title: Completed At error_file_id: - type: string + anyOf: + - type: string + - type: 'null' + title: Error File Id errors: - type: object - properties: - data: - type: array - items: - type: object - properties: - code: - type: string - line: - type: integer - message: - type: string - param: - type: string - additionalProperties: false - title: BatchError - object: - type: string - additionalProperties: false - title: Errors + anyOf: + - $ref: '#/components/schemas/Errors' + - type: 'null' expired_at: - type: integer + anyOf: + - type: integer + - type: 'null' + title: Expired At expires_at: - type: integer + anyOf: + - type: integer + - type: 'null' + title: Expires At failed_at: - type: integer + anyOf: + - type: integer + - type: 'null' + title: Failed At finalizing_at: - type: integer + anyOf: + - type: integer + - type: 'null' + title: Finalizing At in_progress_at: - type: integer + anyOf: + - type: integer + - type: 'null' + title: In Progress At metadata: - type: object - additionalProperties: - type: string - model: - type: string - output_file_id: - type: string - request_counts: - type: object - properties: - completed: - type: integer - failed: - type: integer - total: - type: integer - additionalProperties: false - required: - - completed - - failed - - total - title: BatchRequestCounts - usage: - type: object - properties: - input_tokens: - type: integer - input_tokens_details: - type: object - properties: - cached_tokens: - type: integer - additionalProperties: false - required: - - cached_tokens - title: InputTokensDetails - output_tokens: - type: integer - output_tokens_details: - type: object - properties: - reasoning_tokens: - type: integer - additionalProperties: false - required: - - reasoning_tokens - title: OutputTokensDetails - total_tokens: - type: integer - additionalProperties: false - required: - - input_tokens - - input_tokens_details - - output_tokens - - output_tokens_details - - total_tokens - title: BatchUsage - additionalProperties: false - required: - - id - - completion_window - - created_at - - endpoint - - input_file_id - - object - - status - title: Batch - Order: - type: string - enum: - - asc - - desc - title: Order - description: Sort order for paginated responses. - ListOpenAIChatCompletionResponse: - type: object - properties: - data: - type: array - items: + anyOf: + - additionalProperties: + type: string type: object - properties: - id: - type: string - description: The ID of the chat completion - choices: - type: array - items: - $ref: '#/components/schemas/OpenAIChoice' - description: List of choices - object: - type: string - const: chat.completion - default: chat.completion - description: >- - The object type, which will be "chat.completion" - created: - type: integer - description: >- - The Unix timestamp in seconds when the chat completion was created - model: - type: string - description: >- - The model that was used to generate the chat completion - usage: - $ref: '#/components/schemas/OpenAIChatCompletionUsage' - description: >- - Token usage information for the completion - input_messages: - type: array - items: - $ref: '#/components/schemas/OpenAIMessageParam' - additionalProperties: false - required: - - id - - choices - - object - - created - - model - - input_messages - title: OpenAICompletionWithInputMessages - description: >- - List of chat completion objects with their input messages - has_more: - type: boolean - description: >- - Whether there are more completions available beyond this list - first_id: + - type: 'null' + title: Metadata + model: + anyOf: + - type: string + - type: 'null' + title: Model + output_file_id: + anyOf: + - type: string + - type: 'null' + title: Output File Id + request_counts: + anyOf: + - $ref: '#/components/schemas/BatchRequestCounts' + - type: 'null' + usage: + anyOf: + - $ref: '#/components/schemas/BatchUsage' + - type: 'null' + additionalProperties: true + type: object + required: + - id + - completion_window + - created_at + - endpoint + - input_file_id + - object + - status + title: Batch + BatchError: + properties: + code: + anyOf: + - type: string + - type: 'null' + title: Code + line: + anyOf: + - type: integer + - type: 'null' + title: Line + message: + anyOf: + - type: string + - type: 'null' + title: Message + param: + anyOf: + - type: string + - type: 'null' + title: Param + additionalProperties: true + type: object + title: BatchError + BatchRequestCounts: + properties: + completed: + type: integer + title: Completed + failed: + type: integer + title: Failed + total: + type: integer + title: Total + additionalProperties: true + type: object + required: + - completed + - failed + - total + title: BatchRequestCounts + BatchUsage: + properties: + input_tokens: + type: integer + title: Input Tokens + input_tokens_details: + $ref: '#/components/schemas/InputTokensDetails' + output_tokens: + type: integer + title: Output Tokens + output_tokens_details: + $ref: '#/components/schemas/OutputTokensDetails' + total_tokens: + type: integer + title: Total Tokens + additionalProperties: true + type: object + required: + - input_tokens + - input_tokens_details + - output_tokens + - output_tokens_details + - total_tokens + title: BatchUsage + Benchmark: + properties: + identifier: type: string - description: ID of the first completion in this list - last_id: + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: type: string - description: ID of the last completion in this list + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: benchmark + title: Type + default: benchmark + dataset_id: + type: string + title: Dataset Id + scoring_functions: + items: + type: string + type: array + title: Scoring Functions + metadata: + additionalProperties: true + type: object + title: Metadata + description: Metadata for this evaluation task + type: object + required: + - identifier + - provider_id + - dataset_id + - scoring_functions + title: Benchmark + description: A benchmark resource for evaluating model performance. + BenchmarkConfig: + properties: + eval_candidate: + $ref: '#/components/schemas/ModelCandidate' + scoring_params: + additionalProperties: + oneOf: + - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams' + - $ref: '#/components/schemas/RegexParserScoringFnParams' + - $ref: '#/components/schemas/BasicScoringFnParams' + discriminator: + propertyName: type + mapping: + basic: '#/components/schemas/BasicScoringFnParams' + llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams' + regex_parser: '#/components/schemas/RegexParserScoringFnParams' + type: object + title: Scoring Params + description: Map between scoring function id and parameters for each scoring function you want to run + num_examples: + anyOf: + - type: integer + - type: 'null' + title: Num Examples + description: Number of examples to evaluate (useful for testing), if not provided, all examples in the dataset will be evaluated + type: object + required: + - eval_candidate + title: BenchmarkConfig + description: A benchmark configuration for evaluation. + Body_openai_upload_file_v1_files_post: + properties: + file: + type: string + format: binary + title: File + purpose: + $ref: '#/components/schemas/OpenAIFilePurpose' + expires_after: + anyOf: + - $ref: '#/components/schemas/ExpiresAfter' + - type: 'null' + type: object + required: + - file + - purpose + title: Body_openai_upload_file_v1_files_post + Body_register_scoring_function_v1_scoring_functions_post: + properties: + return_type: + anyOf: + - $ref: '#/components/schemas/StringType' + - $ref: '#/components/schemas/NumberType' + - $ref: '#/components/schemas/BooleanType' + - $ref: '#/components/schemas/ArrayType' + - $ref: '#/components/schemas/ObjectType' + - $ref: '#/components/schemas/JsonType' + - $ref: '#/components/schemas/UnionType' + - $ref: '#/components/schemas/ChatCompletionInputType' + - $ref: '#/components/schemas/CompletionInputType' + title: Return Type + params: + anyOf: + - oneOf: + - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams' + - $ref: '#/components/schemas/RegexParserScoringFnParams' + - $ref: '#/components/schemas/BasicScoringFnParams' + discriminator: + propertyName: type + mapping: + basic: '#/components/schemas/BasicScoringFnParams' + llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams' + regex_parser: '#/components/schemas/RegexParserScoringFnParams' + - type: 'null' + title: Params + type: object + required: + - return_type + title: Body_register_scoring_function_v1_scoring_functions_post + Body_register_tool_group_v1_toolgroups_post: + properties: + mcp_endpoint: + anyOf: + - $ref: '#/components/schemas/URL' + - type: 'null' + args: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Args + type: object + title: Body_register_tool_group_v1_toolgroups_post + BooleanType: + properties: + type: + type: string + const: boolean + title: Type + default: boolean + type: object + title: BooleanType + description: Parameter type for boolean values. + ChatCompletionInputType: + properties: + type: + type: string + const: chat_completion_input + title: Type + default: chat_completion_input + type: object + title: ChatCompletionInputType + description: Parameter type for chat completion input. + Chunk-Input: + properties: + content: + anyOf: + - type: string + - oneOf: + - $ref: '#/components/schemas/ImageContentItem-Input' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Input' + text: '#/components/schemas/TextContentItem' + - items: + oneOf: + - $ref: '#/components/schemas/ImageContentItem-Input' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Input' + text: '#/components/schemas/TextContentItem' + type: array + title: Content + chunk_id: + type: string + title: Chunk Id + metadata: + additionalProperties: true + type: object + title: Metadata + embedding: + anyOf: + - items: + type: number + type: array + - type: 'null' + title: Embedding + chunk_metadata: + anyOf: + - $ref: '#/components/schemas/ChunkMetadata' + - type: 'null' + type: object + required: + - content + - chunk_id + title: Chunk + description: A chunk of content that can be inserted into a vector database. + Chunk-Output: + properties: + content: + anyOf: + - type: string + - oneOf: + - $ref: '#/components/schemas/ImageContentItem-Output' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Output' + text: '#/components/schemas/TextContentItem' + - items: + oneOf: + - $ref: '#/components/schemas/ImageContentItem-Output' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Output' + text: '#/components/schemas/TextContentItem' + type: array + title: Content + chunk_id: + type: string + title: Chunk Id + metadata: + additionalProperties: true + type: object + title: Metadata + embedding: + anyOf: + - items: + type: number + type: array + - type: 'null' + title: Embedding + chunk_metadata: + anyOf: + - $ref: '#/components/schemas/ChunkMetadata' + - type: 'null' + type: object + required: + - content + - chunk_id + title: Chunk + description: A chunk of content that can be inserted into a vector database. + ChunkMetadata: + properties: + chunk_id: + anyOf: + - type: string + - type: 'null' + title: Chunk Id + document_id: + anyOf: + - type: string + - type: 'null' + title: Document Id + source: + anyOf: + - type: string + - type: 'null' + title: Source + created_timestamp: + anyOf: + - type: integer + - type: 'null' + title: Created Timestamp + updated_timestamp: + anyOf: + - type: integer + - type: 'null' + title: Updated Timestamp + chunk_window: + anyOf: + - type: string + - type: 'null' + title: Chunk Window + chunk_tokenizer: + anyOf: + - type: string + - type: 'null' + title: Chunk Tokenizer + chunk_embedding_model: + anyOf: + - type: string + - type: 'null' + title: Chunk Embedding Model + chunk_embedding_dimension: + anyOf: + - type: integer + - type: 'null' + title: Chunk Embedding Dimension + content_token_count: + anyOf: + - type: integer + - type: 'null' + title: Content Token Count + metadata_token_count: + anyOf: + - type: integer + - type: 'null' + title: Metadata Token Count + type: object + title: ChunkMetadata + description: |- + `ChunkMetadata` is backend metadata for a `Chunk` that is used to store additional information about the chunk that + will not be used in the context during inference, but is required for backend functionality. The `ChunkMetadata` + is set during chunk creation in `MemoryToolRuntimeImpl().insert()`and is not expected to change after. + Use `Chunk.metadata` for metadata that will be used in the context during inference. + CompletionInputType: + properties: + type: + type: string + const: completion_input + title: Type + default: completion_input + type: object + title: CompletionInputType + description: Parameter type for completion input. + Conversation: + properties: + id: + type: string + title: Id + description: The unique ID of the conversation. object: type: string - const: list - default: list - description: >- - Must be "list" to identify this as a list response - additionalProperties: false - required: - - data - - has_more - - first_id - - last_id - - object - title: ListOpenAIChatCompletionResponse - description: >- - Response from listing OpenAI-compatible chat completions. - OpenAIAssistantMessageParam: + const: conversation + title: Object + description: The object type, which is always conversation. + default: conversation + created_at: + type: integer + title: Created At + description: The time at which the conversation was created, measured in seconds since the Unix epoch. + metadata: + anyOf: + - additionalProperties: + type: string + type: object + - type: 'null' + title: Metadata + description: Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard. + items: + anyOf: + - items: + additionalProperties: true + type: object + type: array + - type: 'null' + title: Items + description: Initial items to include in the conversation context. You may add up to 20 items at a time. type: object + required: + - id + - created_at + title: Conversation + description: OpenAI-compatible conversation object. + ConversationDeletedResource: + properties: + id: + type: string + title: Id + description: The deleted conversation identifier + object: + type: string + title: Object + description: Object type + default: conversation.deleted + deleted: + type: boolean + title: Deleted + description: Whether the object was deleted + default: true + type: object + required: + - id + title: ConversationDeletedResource + description: Response for deleted conversation. + ConversationItemDeletedResource: + properties: + id: + type: string + title: Id + description: The deleted item identifier + object: + type: string + title: Object + description: Object type + default: conversation.item.deleted + deleted: + type: boolean + title: Deleted + description: Whether the object was deleted + default: true + type: object + required: + - id + title: ConversationItemDeletedResource + description: Response for deleted conversation item. + ConversationItemInclude: + type: string + enum: + - web_search_call.action.sources + - code_interpreter_call.outputs + - computer_call_output.output.image_url + - file_search_call.results + - message.input_image.image_url + - message.output_text.logprobs + - reasoning.encrypted_content + title: ConversationItemInclude + description: Specify additional output data to include in the model response. + ConversationItemList: + properties: + object: + type: string + title: Object + description: Object type + default: list + data: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage-Output' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + discriminator: + propertyName: type + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + function_call_output: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_approval_response: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage-Output' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + type: array + title: Data + description: List of conversation items + first_id: + anyOf: + - type: string + - type: 'null' + title: First Id + description: The ID of the first item in the list + last_id: + anyOf: + - type: string + - type: 'null' + title: Last Id + description: The ID of the last item in the list + has_more: + type: boolean + title: Has More + description: Whether there are more items available + default: false + type: object + required: + - data + title: ConversationItemList + description: List of conversation items with pagination. + DPOAlignmentConfig: + properties: + beta: + type: number + title: Beta + loss_type: + $ref: '#/components/schemas/DPOLossType' + default: sigmoid + type: object + required: + - beta + title: DPOAlignmentConfig + description: Configuration for Direct Preference Optimization (DPO) alignment. + DPOLossType: + type: string + enum: + - sigmoid + - hinge + - ipo + - kto_pair + title: DPOLossType + DataConfig: + properties: + dataset_id: + type: string + title: Dataset Id + batch_size: + type: integer + title: Batch Size + shuffle: + type: boolean + title: Shuffle + data_format: + $ref: '#/components/schemas/DatasetFormat' + validation_dataset_id: + anyOf: + - type: string + - type: 'null' + title: Validation Dataset Id + packed: + anyOf: + - type: boolean + - type: 'null' + title: Packed + default: false + train_on_input: + anyOf: + - type: boolean + - type: 'null' + title: Train On Input + default: false + type: object + required: + - dataset_id + - batch_size + - shuffle + - data_format + title: DataConfig + description: Configuration for training data and data loading. + Dataset: + properties: + identifier: + type: string + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: + type: string + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: dataset + title: Type + default: dataset + purpose: + $ref: '#/components/schemas/DatasetPurpose' + source: + oneOf: + - $ref: '#/components/schemas/URIDataSource' + - $ref: '#/components/schemas/RowsDataSource' + title: Source + discriminator: + propertyName: type + mapping: + rows: '#/components/schemas/RowsDataSource' + uri: '#/components/schemas/URIDataSource' + metadata: + additionalProperties: true + type: object + title: Metadata + description: Any additional metadata for this dataset + type: object + required: + - identifier + - provider_id + - purpose + - source + title: Dataset + description: Dataset resource for storing and accessing training or evaluation data. + DatasetFormat: + type: string + enum: + - instruct + - dialog + title: DatasetFormat + description: Format of the training dataset. + DatasetPurpose: + type: string + enum: + - post-training/messages + - eval/question-answer + - eval/messages-answer + title: DatasetPurpose + description: Purpose of the dataset. Each purpose has a required input data schema. + EfficiencyConfig: + properties: + enable_activation_checkpointing: + anyOf: + - type: boolean + - type: 'null' + title: Enable Activation Checkpointing + default: false + enable_activation_offloading: + anyOf: + - type: boolean + - type: 'null' + title: Enable Activation Offloading + default: false + memory_efficient_fsdp_wrap: + anyOf: + - type: boolean + - type: 'null' + title: Memory Efficient Fsdp Wrap + default: false + fsdp_cpu_offload: + anyOf: + - type: boolean + - type: 'null' + title: Fsdp Cpu Offload + default: false + type: object + title: EfficiencyConfig + description: Configuration for memory and compute efficiency optimizations. + Errors: + properties: + data: + anyOf: + - items: + $ref: '#/components/schemas/BatchError' + type: array + - type: 'null' + title: Data + object: + anyOf: + - type: string + - type: 'null' + title: Object + additionalProperties: true + type: object + title: Errors + EvaluateResponse: + properties: + generations: + items: + additionalProperties: true + type: object + type: array + title: Generations + scores: + additionalProperties: + $ref: '#/components/schemas/ScoringResult' + type: object + title: Scores + type: object + required: + - generations + - scores + title: EvaluateResponse + description: The response from an evaluation. + ExpiresAfter: + properties: + anchor: + type: string + const: created_at + title: Anchor + seconds: + type: integer + maximum: 2592000.0 + minimum: 3600.0 + title: Seconds + type: object + required: + - anchor + - seconds + title: ExpiresAfter + description: |- + Control expiration of uploaded files. + + Params: + - anchor, must be "created_at" + - seconds, must be int between 3600 and 2592000 (1 hour to 30 days) + GreedySamplingStrategy: + properties: + type: + type: string + const: greedy + title: Type + default: greedy + type: object + title: GreedySamplingStrategy + description: Greedy sampling strategy that selects the highest probability token at each step. + HealthInfo: + properties: + status: + $ref: '#/components/schemas/HealthStatus' + type: object + required: + - status + title: HealthInfo + description: Health status information for the service. + HealthStatus: + type: string + enum: + - OK + - Error + - Not Implemented + title: HealthStatus + ImageContentItem-Input: + properties: + type: + type: string + const: image + title: Type + default: image + image: + $ref: '#/components/schemas/_URLOrData' + type: object + required: + - image + title: ImageContentItem + description: A image content item + ImageContentItem-Output: + properties: + type: + type: string + const: image + title: Type + default: image + image: + $ref: '#/components/schemas/_URLOrData' + type: object + required: + - image + title: ImageContentItem + description: A image content item + InputTokensDetails: + properties: + cached_tokens: + type: integer + title: Cached Tokens + additionalProperties: true + type: object + required: + - cached_tokens + title: InputTokensDetails + Job: + properties: + job_id: + type: string + title: Job Id + status: + $ref: '#/components/schemas/JobStatus' + type: object + required: + - job_id + - status + title: Job + description: A job execution instance with status tracking. + JobStatus: + type: string + enum: + - completed + - in_progress + - failed + - scheduled + - cancelled + title: JobStatus + description: Status of a job execution. + JsonType: + properties: + type: + type: string + const: json + title: Type + default: json + type: object + title: JsonType + description: Parameter type for JSON values. + LLMAsJudgeScoringFnParams: + properties: + type: + type: string + const: llm_as_judge + title: Type + default: llm_as_judge + judge_model: + type: string + title: Judge Model + prompt_template: + anyOf: + - type: string + - type: 'null' + title: Prompt Template + judge_score_regexes: + items: + type: string + type: array + title: Judge Score Regexes + description: Regexes to extract the answer from generated response + aggregation_functions: + items: + $ref: '#/components/schemas/AggregationFunctionType' + type: array + title: Aggregation Functions + description: Aggregation functions to apply to the scores of each row + type: object + required: + - judge_model + title: LLMAsJudgeScoringFnParams + description: Parameters for LLM-as-judge scoring function configuration. + ListPromptsResponse: + properties: + data: + items: + $ref: '#/components/schemas/Prompt' + type: array + title: Data + type: object + required: + - data + title: ListPromptsResponse + description: Response model to list prompts. + ListProvidersResponse: + properties: + data: + items: + $ref: '#/components/schemas/ProviderInfo' + type: array + title: Data + type: object + required: + - data + title: ListProvidersResponse + description: Response containing a list of all available providers. + ListScoringFunctionsResponse: + properties: + data: + items: + $ref: '#/components/schemas/ScoringFn' + type: array + title: Data + type: object + required: + - data + title: ListScoringFunctionsResponse + ListShieldsResponse: + properties: + data: + items: + $ref: '#/components/schemas/Shield' + type: array + title: Data + type: object + required: + - data + title: ListShieldsResponse + ListToolGroupsResponse: + properties: + data: + items: + $ref: '#/components/schemas/ToolGroup' + type: array + title: Data + type: object + required: + - data + title: ListToolGroupsResponse + description: Response containing a list of tool groups. + LoraFinetuningConfig: + properties: + type: + type: string + const: LoRA + title: Type + default: LoRA + lora_attn_modules: + items: + type: string + type: array + title: Lora Attn Modules + apply_lora_to_mlp: + type: boolean + title: Apply Lora To Mlp + apply_lora_to_output: + type: boolean + title: Apply Lora To Output + rank: + type: integer + title: Rank + alpha: + type: integer + title: Alpha + use_dora: + anyOf: + - type: boolean + - type: 'null' + title: Use Dora + default: false + quantize_base: + anyOf: + - type: boolean + - type: 'null' + title: Quantize Base + default: false + type: object + required: + - lora_attn_modules + - apply_lora_to_mlp + - apply_lora_to_output + - rank + - alpha + title: LoraFinetuningConfig + description: Configuration for Low-Rank Adaptation (LoRA) fine-tuning. + MCPListToolsTool: + properties: + input_schema: + additionalProperties: true + type: object + title: Input Schema + name: + type: string + title: Name + description: + anyOf: + - type: string + - type: 'null' + title: Description + type: object + required: + - input_schema + - name + title: MCPListToolsTool + description: Tool definition returned by MCP list tools operation. + Model: + properties: + identifier: + type: string + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: + type: string + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: model + title: Type + default: model + metadata: + additionalProperties: true + type: object + title: Metadata + description: Any additional metadata for this model + model_type: + $ref: '#/components/schemas/ModelType' + default: llm + type: object + required: + - identifier + - provider_id + title: Model + description: A model resource representing an AI model registered in Llama Stack. + ModelCandidate: + properties: + type: + type: string + const: model + title: Type + default: model + model: + type: string + title: Model + sampling_params: + $ref: '#/components/schemas/SamplingParams' + system_message: + anyOf: + - $ref: '#/components/schemas/SystemMessage' + - type: 'null' + type: object + required: + - model + - sampling_params + title: ModelCandidate + description: A model candidate for evaluation. + ModelType: + type: string + enum: + - llm + - embedding + - rerank + title: ModelType + description: Enumeration of supported model types in Llama Stack. + ModerationObject: + properties: + id: + type: string + title: Id + model: + type: string + title: Model + results: + items: + $ref: '#/components/schemas/ModerationObjectResults' + type: array + title: Results + type: object + required: + - id + - model + - results + title: ModerationObject + description: A moderation object. + ModerationObjectResults: + properties: + flagged: + type: boolean + title: Flagged + categories: + anyOf: + - additionalProperties: + type: boolean + type: object + - type: 'null' + title: Categories + category_applied_input_types: + anyOf: + - additionalProperties: + items: + type: string + type: array + type: object + - type: 'null' + title: Category Applied Input Types + category_scores: + anyOf: + - additionalProperties: + type: number + type: object + - type: 'null' + title: Category Scores + user_message: + anyOf: + - type: string + - type: 'null' + title: User Message + metadata: + additionalProperties: true + type: object + title: Metadata + type: object + required: + - flagged + title: ModerationObjectResults + description: A moderation object. + NumberType: + properties: + type: + type: string + const: number + title: Type + default: number + type: object + title: NumberType + description: Parameter type for numeric values. + ObjectType: + properties: + type: + type: string + const: object + title: Type + default: object + type: object + title: ObjectType + description: Parameter type for object values. + OpenAIAssistantMessageParam-Input: properties: role: type: string const: assistant + title: Role default: assistant - description: >- - Must be "assistant" to identify this as the model's response content: - oneOf: - - type: string - - type: array - items: - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' - description: The content of the model's response + anyOf: + - type: string + - items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + - type: 'null' + title: Content name: - type: string - description: >- - (Optional) The name of the assistant message participant. + anyOf: + - type: string + - type: 'null' + title: Name tool_calls: - type: array - items: - $ref: '#/components/schemas/OpenAIChatCompletionToolCall' - description: >- - List of tool calls. Each tool call is an OpenAIChatCompletionToolCall - object. - additionalProperties: false - required: - - role - title: OpenAIAssistantMessageParam - description: >- - A message containing the model's (assistant) response in an OpenAI-compatible - chat completion request. - "OpenAIChatCompletionContentPartImageParam": + anyOf: + - items: + $ref: '#/components/schemas/OpenAIChatCompletionToolCall' + type: array + - type: 'null' + title: Tool Calls type: object + title: OpenAIAssistantMessageParam + description: A message containing the model's (assistant) response in an OpenAI-compatible chat completion request. + OpenAIAssistantMessageParam-Output: + properties: + role: + type: string + const: assistant + title: Role + default: assistant + content: + anyOf: + - type: string + - items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + - type: 'null' + title: Content + name: + anyOf: + - type: string + - type: 'null' + title: Name + tool_calls: + anyOf: + - items: + $ref: '#/components/schemas/OpenAIChatCompletionToolCall' + type: array + - type: 'null' + title: Tool Calls + type: object + title: OpenAIAssistantMessageParam + description: A message containing the model's (assistant) response in an OpenAI-compatible chat completion request. + OpenAIChatCompletion: + properties: + id: + type: string + title: Id + choices: + items: + $ref: '#/components/schemas/OpenAIChoice-Output' + type: array + title: Choices + object: + type: string + const: chat.completion + title: Object + default: chat.completion + created: + type: integer + title: Created + model: + type: string + title: Model + usage: + anyOf: + - $ref: '#/components/schemas/OpenAIChatCompletionUsage' + - type: 'null' + type: object + required: + - id + - choices + - created + - model + title: OpenAIChatCompletion + description: Response from an OpenAI-compatible chat completion request. + OpenAIChatCompletionContentPartImageParam: properties: type: type: string const: image_url + title: Type default: image_url - description: >- - Must be "image_url" to identify this as image content image_url: $ref: '#/components/schemas/OpenAIImageURL' - description: >- - Image URL specification and processing details - additionalProperties: false - required: - - type - - image_url - title: >- - OpenAIChatCompletionContentPartImageParam - description: >- - Image content part for OpenAI-compatible chat completion messages. - OpenAIChatCompletionContentPartParam: - oneOf: - - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' - - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' - - $ref: '#/components/schemas/OpenAIFile' - discriminator: - propertyName: type - mapping: - text: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' - image_url: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' - file: '#/components/schemas/OpenAIFile' - OpenAIChatCompletionContentPartTextParam: type: object + required: + - image_url + title: OpenAIChatCompletionContentPartImageParam + description: Image content part for OpenAI-compatible chat completion messages. + OpenAIChatCompletionContentPartTextParam: properties: type: type: string const: text + title: Type default: text - description: >- - Must be "text" to identify this as text content text: type: string - description: The text content of the message - additionalProperties: false - required: - - type - - text - title: OpenAIChatCompletionContentPartTextParam - description: >- - Text content part for OpenAI-compatible chat completion messages. - OpenAIChatCompletionToolCall: + title: Text type: object + required: + - text + title: OpenAIChatCompletionContentPartTextParam + description: Text content part for OpenAI-compatible chat completion messages. + OpenAIChatCompletionRequestWithExtraBody: + properties: + model: + type: string + title: Model + messages: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIUserMessageParam-Input' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam-Input' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + discriminator: + propertyName: role + mapping: + assistant: '#/components/schemas/OpenAIAssistantMessageParam-Input' + developer: '#/components/schemas/OpenAIDeveloperMessageParam' + system: '#/components/schemas/OpenAISystemMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + user: '#/components/schemas/OpenAIUserMessageParam-Input' + type: array + minItems: 1 + title: Messages + frequency_penalty: + anyOf: + - type: number + - type: 'null' + title: Frequency Penalty + function_call: + anyOf: + - type: string + - additionalProperties: true + type: object + - type: 'null' + title: Function Call + functions: + anyOf: + - items: + additionalProperties: true + type: object + type: array + - type: 'null' + title: Functions + logit_bias: + anyOf: + - additionalProperties: + type: number + type: object + - type: 'null' + title: Logit Bias + logprobs: + anyOf: + - type: boolean + - type: 'null' + title: Logprobs + max_completion_tokens: + anyOf: + - type: integer + - type: 'null' + title: Max Completion Tokens + max_tokens: + anyOf: + - type: integer + - type: 'null' + title: Max Tokens + n: + anyOf: + - type: integer + - type: 'null' + title: N + parallel_tool_calls: + anyOf: + - type: boolean + - type: 'null' + title: Parallel Tool Calls + presence_penalty: + anyOf: + - type: number + - type: 'null' + title: Presence Penalty + response_format: + anyOf: + - oneOf: + - $ref: '#/components/schemas/OpenAIResponseFormatText' + - $ref: '#/components/schemas/OpenAIResponseFormatJSONSchema' + - $ref: '#/components/schemas/OpenAIResponseFormatJSONObject' + discriminator: + propertyName: type + mapping: + json_object: '#/components/schemas/OpenAIResponseFormatJSONObject' + json_schema: '#/components/schemas/OpenAIResponseFormatJSONSchema' + text: '#/components/schemas/OpenAIResponseFormatText' + - type: 'null' + title: Response Format + seed: + anyOf: + - type: integer + - type: 'null' + title: Seed + stop: + anyOf: + - type: string + - items: + type: string + type: array + - type: 'null' + title: Stop + stream: + anyOf: + - type: boolean + - type: 'null' + title: Stream + stream_options: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Stream Options + temperature: + anyOf: + - type: number + - type: 'null' + title: Temperature + tool_choice: + anyOf: + - type: string + - additionalProperties: true + type: object + - type: 'null' + title: Tool Choice + tools: + anyOf: + - items: + additionalProperties: true + type: object + type: array + - type: 'null' + title: Tools + top_logprobs: + anyOf: + - type: integer + - type: 'null' + title: Top Logprobs + top_p: + anyOf: + - type: number + - type: 'null' + title: Top P + user: + anyOf: + - type: string + - type: 'null' + title: User + additionalProperties: true + type: object + required: + - model + - messages + title: OpenAIChatCompletionRequestWithExtraBody + description: Request parameters for OpenAI-compatible chat completion endpoint. + OpenAIChatCompletionToolCall: properties: index: - type: integer - description: >- - (Optional) Index of the tool call in the list + anyOf: + - type: integer + - type: 'null' + title: Index id: - type: string - description: >- - (Optional) Unique identifier for the tool call + anyOf: + - type: string + - type: 'null' + title: Id type: type: string const: function + title: Type default: function - description: >- - Must be "function" to identify this as a function call function: - $ref: '#/components/schemas/OpenAIChatCompletionToolCallFunction' - description: (Optional) Function call details - additionalProperties: false - required: - - type - title: OpenAIChatCompletionToolCall - description: >- - Tool call specification for OpenAI-compatible chat completion responses. - OpenAIChatCompletionToolCallFunction: + anyOf: + - $ref: '#/components/schemas/OpenAIChatCompletionToolCallFunction' + - type: 'null' type: object + title: OpenAIChatCompletionToolCall + description: Tool call specification for OpenAI-compatible chat completion responses. + OpenAIChatCompletionToolCallFunction: properties: name: - type: string - description: (Optional) Name of the function to call + anyOf: + - type: string + - type: 'null' + title: Name arguments: - type: string - description: >- - (Optional) Arguments to pass to the function as a JSON string - additionalProperties: false - title: OpenAIChatCompletionToolCallFunction - description: >- - Function call details for OpenAI-compatible tool calls. - OpenAIChatCompletionUsage: + anyOf: + - type: string + - type: 'null' + title: Arguments type: object + title: OpenAIChatCompletionToolCallFunction + description: Function call details for OpenAI-compatible tool calls. + OpenAIChatCompletionUsage: properties: prompt_tokens: type: integer - description: Number of tokens in the prompt + title: Prompt Tokens completion_tokens: type: integer - description: Number of tokens in the completion + title: Completion Tokens total_tokens: type: integer - description: Total tokens used (prompt + completion) + title: Total Tokens prompt_tokens_details: - type: object - properties: - cached_tokens: - type: integer - description: Number of tokens retrieved from cache - additionalProperties: false - title: >- - OpenAIChatCompletionUsagePromptTokensDetails - description: >- - Token details for prompt tokens in OpenAI chat completion usage. + anyOf: + - $ref: '#/components/schemas/OpenAIChatCompletionUsagePromptTokensDetails' + - type: 'null' completion_tokens_details: - type: object - properties: - reasoning_tokens: - type: integer - description: >- - Number of tokens used for reasoning (o1/o3 models) - additionalProperties: false - title: >- - OpenAIChatCompletionUsageCompletionTokensDetails - description: >- - Token details for output tokens in OpenAI chat completion usage. - additionalProperties: false - required: - - prompt_tokens - - completion_tokens - - total_tokens - title: OpenAIChatCompletionUsage - description: >- - Usage information for OpenAI chat completion. - OpenAIChoice: + anyOf: + - $ref: '#/components/schemas/OpenAIChatCompletionUsageCompletionTokensDetails' + - type: 'null' type: object + required: + - prompt_tokens + - completion_tokens + - total_tokens + title: OpenAIChatCompletionUsage + description: Usage information for OpenAI chat completion. + OpenAIChatCompletionUsageCompletionTokensDetails: + properties: + reasoning_tokens: + anyOf: + - type: integer + - type: 'null' + title: Reasoning Tokens + type: object + title: OpenAIChatCompletionUsageCompletionTokensDetails + description: Token details for output tokens in OpenAI chat completion usage. + OpenAIChatCompletionUsagePromptTokensDetails: + properties: + cached_tokens: + anyOf: + - type: integer + - type: 'null' + title: Cached Tokens + type: object + title: OpenAIChatCompletionUsagePromptTokensDetails + description: Token details for prompt tokens in OpenAI chat completion usage. + OpenAIChoice-Output: properties: message: oneOf: - - $ref: '#/components/schemas/OpenAIUserMessageParam' - - $ref: '#/components/schemas/OpenAISystemMessageParam' - - $ref: '#/components/schemas/OpenAIAssistantMessageParam' - - $ref: '#/components/schemas/OpenAIToolMessageParam' - - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + - $ref: '#/components/schemas/OpenAIUserMessageParam-Output' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam-Output' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + title: Message discriminator: propertyName: role mapping: - user: '#/components/schemas/OpenAIUserMessageParam' - system: '#/components/schemas/OpenAISystemMessageParam' - assistant: '#/components/schemas/OpenAIAssistantMessageParam' - tool: '#/components/schemas/OpenAIToolMessageParam' + assistant: '#/components/schemas/OpenAIAssistantMessageParam-Output' developer: '#/components/schemas/OpenAIDeveloperMessageParam' - description: The message from the model + system: '#/components/schemas/OpenAISystemMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + user: '#/components/schemas/OpenAIUserMessageParam-Output' finish_reason: type: string - description: The reason the model stopped generating + title: Finish Reason index: type: integer - description: The index of the choice + title: Index logprobs: - $ref: '#/components/schemas/OpenAIChoiceLogprobs' - description: >- - (Optional) The log probabilities for the tokens in the message - additionalProperties: false - required: - - message - - finish_reason - - index - title: OpenAIChoice - description: >- - A choice from an OpenAI-compatible chat completion response. - OpenAIChoiceLogprobs: + anyOf: + - $ref: '#/components/schemas/OpenAIChoiceLogprobs-Output' + - type: 'null' type: object + required: + - message + - finish_reason + - index + title: OpenAIChoice + description: A choice from an OpenAI-compatible chat completion response. + OpenAIChoiceLogprobs-Output: properties: content: - type: array - items: - $ref: '#/components/schemas/OpenAITokenLogProb' - description: >- - (Optional) The log probabilities for the tokens in the message + anyOf: + - items: + $ref: '#/components/schemas/OpenAITokenLogProb' + type: array + - type: 'null' + title: Content refusal: - type: array - items: - $ref: '#/components/schemas/OpenAITokenLogProb' - description: >- - (Optional) The log probabilities for the tokens in the message - additionalProperties: false - title: OpenAIChoiceLogprobs - description: >- - The log probabilities for the tokens in the message from an OpenAI-compatible - chat completion response. - OpenAIDeveloperMessageParam: + anyOf: + - items: + $ref: '#/components/schemas/OpenAITokenLogProb' + type: array + - type: 'null' + title: Refusal type: object + title: OpenAIChoiceLogprobs + description: The log probabilities for the tokens in the message from an OpenAI-compatible chat completion response. + OpenAICompletion: + properties: + id: + type: string + title: Id + choices: + items: + $ref: '#/components/schemas/OpenAICompletionChoice-Output' + type: array + title: Choices + created: + type: integer + title: Created + model: + type: string + title: Model + object: + type: string + const: text_completion + title: Object + default: text_completion + type: object + required: + - id + - choices + - created + - model + title: OpenAICompletion + description: |- + Response from an OpenAI-compatible completion request. + + :id: The ID of the completion + :choices: List of choices + :created: The Unix timestamp in seconds when the completion was created + :model: The model that was used to generate the completion + :object: The object type, which will be "text_completion" + OpenAICompletionChoice-Output: + properties: + finish_reason: + type: string + title: Finish Reason + text: + type: string + title: Text + index: + type: integer + title: Index + logprobs: + anyOf: + - $ref: '#/components/schemas/OpenAIChoiceLogprobs-Output' + - type: 'null' + type: object + required: + - finish_reason + - text + - index + title: OpenAICompletionChoice + description: |- + A choice from an OpenAI-compatible completion response. + + :finish_reason: The reason the model stopped generating + :text: The text of the choice + :index: The index of the choice + :logprobs: (Optional) The log probabilities for the tokens in the choice + OpenAICompletionRequestWithExtraBody: + properties: + model: + type: string + title: Model + prompt: + anyOf: + - type: string + - items: + type: string + type: array + - items: + type: integer + type: array + - items: + items: + type: integer + type: array + type: array + title: Prompt + best_of: + anyOf: + - type: integer + - type: 'null' + title: Best Of + echo: + anyOf: + - type: boolean + - type: 'null' + title: Echo + frequency_penalty: + anyOf: + - type: number + - type: 'null' + title: Frequency Penalty + logit_bias: + anyOf: + - additionalProperties: + type: number + type: object + - type: 'null' + title: Logit Bias + logprobs: + anyOf: + - type: boolean + - type: 'null' + title: Logprobs + max_tokens: + anyOf: + - type: integer + - type: 'null' + title: Max Tokens + n: + anyOf: + - type: integer + - type: 'null' + title: N + presence_penalty: + anyOf: + - type: number + - type: 'null' + title: Presence Penalty + seed: + anyOf: + - type: integer + - type: 'null' + title: Seed + stop: + anyOf: + - type: string + - items: + type: string + type: array + - type: 'null' + title: Stop + stream: + anyOf: + - type: boolean + - type: 'null' + title: Stream + stream_options: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Stream Options + temperature: + anyOf: + - type: number + - type: 'null' + title: Temperature + top_p: + anyOf: + - type: number + - type: 'null' + title: Top P + user: + anyOf: + - type: string + - type: 'null' + title: User + suffix: + anyOf: + - type: string + - type: 'null' + title: Suffix + additionalProperties: true + type: object + required: + - model + - prompt + title: OpenAICompletionRequestWithExtraBody + description: Request parameters for OpenAI-compatible completion endpoint. + OpenAICompletionWithInputMessages: + properties: + id: + type: string + title: Id + choices: + items: + $ref: '#/components/schemas/OpenAIChoice-Output' + type: array + title: Choices + object: + type: string + const: chat.completion + title: Object + default: chat.completion + created: + type: integer + title: Created + model: + type: string + title: Model + usage: + anyOf: + - $ref: '#/components/schemas/OpenAIChatCompletionUsage' + - type: 'null' + input_messages: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIUserMessageParam-Output' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam-Output' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + discriminator: + propertyName: role + mapping: + assistant: '#/components/schemas/OpenAIAssistantMessageParam-Output' + developer: '#/components/schemas/OpenAIDeveloperMessageParam' + system: '#/components/schemas/OpenAISystemMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + user: '#/components/schemas/OpenAIUserMessageParam-Output' + type: array + title: Input Messages + type: object + required: + - id + - choices + - created + - model + - input_messages + title: OpenAICompletionWithInputMessages + OpenAICreateVectorStoreFileBatchRequestWithExtraBody: + properties: + file_ids: + items: + type: string + type: array + title: File Ids + attributes: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Attributes + chunking_strategy: + anyOf: + - oneOf: + - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' + - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + discriminator: + propertyName: type + mapping: + auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' + static: '#/components/schemas/VectorStoreChunkingStrategyStatic' + - type: 'null' + title: Chunking Strategy + additionalProperties: true + type: object + required: + - file_ids + title: OpenAICreateVectorStoreFileBatchRequestWithExtraBody + description: Request to create a vector store file batch with extra_body support. + OpenAICreateVectorStoreRequestWithExtraBody: + properties: + name: + anyOf: + - type: string + - type: 'null' + title: Name + file_ids: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: File Ids + expires_after: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Expires After + chunking_strategy: + anyOf: + - oneOf: + - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' + - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + discriminator: + propertyName: type + mapping: + auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' + static: '#/components/schemas/VectorStoreChunkingStrategyStatic' + - type: 'null' + title: Chunking Strategy + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + additionalProperties: true + type: object + title: OpenAICreateVectorStoreRequestWithExtraBody + description: Request to create a vector store with extra_body support. + OpenAIDeleteResponseObject: + properties: + id: + type: string + title: Id + object: + type: string + const: response + title: Object + default: response + deleted: + type: boolean + title: Deleted + default: true + type: object + required: + - id + title: OpenAIDeleteResponseObject + description: Response object confirming deletion of an OpenAI response. + OpenAIDeveloperMessageParam: properties: role: type: string const: developer + title: Role default: developer - description: >- - Must be "developer" to identify this as a developer message content: - oneOf: - - type: string - - type: array - items: - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' - description: The content of the developer message + anyOf: + - type: string + - items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + title: Content name: - type: string - description: >- - (Optional) The name of the developer message participant. - additionalProperties: false - required: - - role - - content - title: OpenAIDeveloperMessageParam - description: >- - A message from the developer in an OpenAI-compatible chat completion request. - OpenAIFile: + anyOf: + - type: string + - type: 'null' + title: Name type: object + required: + - content + title: OpenAIDeveloperMessageParam + description: A message from the developer in an OpenAI-compatible chat completion request. + OpenAIEmbeddingData: + properties: + object: + type: string + const: embedding + title: Object + default: embedding + embedding: + anyOf: + - items: + type: number + type: array + - type: string + title: Embedding + index: + type: integer + title: Index + type: object + required: + - embedding + - index + title: OpenAIEmbeddingData + description: A single embedding data object from an OpenAI-compatible embeddings response. + OpenAIEmbeddingUsage: + properties: + prompt_tokens: + type: integer + title: Prompt Tokens + total_tokens: + type: integer + title: Total Tokens + type: object + required: + - prompt_tokens + - total_tokens + title: OpenAIEmbeddingUsage + description: Usage information for an OpenAI-compatible embeddings response. + OpenAIEmbeddingsRequestWithExtraBody: + properties: + model: + type: string + title: Model + input: + anyOf: + - type: string + - items: + type: string + type: array + title: Input + encoding_format: + anyOf: + - type: string + - type: 'null' + title: Encoding Format + default: float + dimensions: + anyOf: + - type: integer + - type: 'null' + title: Dimensions + user: + anyOf: + - type: string + - type: 'null' + title: User + additionalProperties: true + type: object + required: + - model + - input + title: OpenAIEmbeddingsRequestWithExtraBody + description: Request parameters for OpenAI-compatible embeddings endpoint. + OpenAIEmbeddingsResponse: + properties: + object: + type: string + const: list + title: Object + default: list + data: + items: + $ref: '#/components/schemas/OpenAIEmbeddingData' + type: array + title: Data + model: + type: string + title: Model + usage: + $ref: '#/components/schemas/OpenAIEmbeddingUsage' + type: object + required: + - data + - model + - usage + title: OpenAIEmbeddingsResponse + description: Response from an OpenAI-compatible embeddings request. + OpenAIFile: properties: type: type: string const: file + title: Type default: file file: $ref: '#/components/schemas/OpenAIFileFile' - additionalProperties: false - required: - - type - - file - title: OpenAIFile - OpenAIFileFile: type: object + required: + - file + title: OpenAIFile + OpenAIFileDeleteResponse: + properties: + id: + type: string + title: Id + object: + type: string + const: file + title: Object + default: file + deleted: + type: boolean + title: Deleted + type: object + required: + - id + - deleted + title: OpenAIFileDeleteResponse + description: Response for deleting a file in OpenAI Files API. + OpenAIFileFile: properties: file_data: - type: string + anyOf: + - type: string + - type: 'null' + title: File Data file_id: + anyOf: + - type: string + - type: 'null' + title: File Id + filename: + anyOf: + - type: string + - type: 'null' + title: Filename + type: object + title: OpenAIFileFile + OpenAIFileObject: + properties: + object: type: string + const: file + title: Object + default: file + id: + type: string + title: Id + bytes: + type: integer + title: Bytes + created_at: + type: integer + title: Created At + expires_at: + type: integer + title: Expires At filename: type: string - additionalProperties: false - title: OpenAIFileFile - OpenAIImageURL: + title: Filename + purpose: + $ref: '#/components/schemas/OpenAIFilePurpose' type: object + required: + - id + - bytes + - created_at + - expires_at + - filename + - purpose + title: OpenAIFileObject + description: OpenAI File object as defined in the OpenAI Files API. + OpenAIFilePurpose: + type: string + enum: + - assistants + - batch + title: OpenAIFilePurpose + description: Valid purpose values for OpenAI Files API. + OpenAIImageURL: properties: url: type: string - description: >- - URL of the image to include in the message + title: Url detail: - type: string - description: >- - (Optional) Level of detail for image processing. Can be "low", "high", - or "auto" - additionalProperties: false + anyOf: + - type: string + - type: 'null' + title: Detail + type: object required: - - url + - url title: OpenAIImageURL - description: >- - Image URL specification for OpenAI-compatible chat completion messages. - OpenAIMessageParam: - oneOf: - - $ref: '#/components/schemas/OpenAIUserMessageParam' - - $ref: '#/components/schemas/OpenAISystemMessageParam' - - $ref: '#/components/schemas/OpenAIAssistantMessageParam' - - $ref: '#/components/schemas/OpenAIToolMessageParam' - - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' - discriminator: - propertyName: role - mapping: - user: '#/components/schemas/OpenAIUserMessageParam' - system: '#/components/schemas/OpenAISystemMessageParam' - assistant: '#/components/schemas/OpenAIAssistantMessageParam' - tool: '#/components/schemas/OpenAIToolMessageParam' - developer: '#/components/schemas/OpenAIDeveloperMessageParam' - OpenAISystemMessageParam: - type: object - properties: - role: - type: string - const: system - default: system - description: >- - Must be "system" to identify this as a system message - content: - oneOf: - - type: string - - type: array - items: - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' - description: >- - The content of the "system prompt". If multiple system messages are provided, - they are concatenated. The underlying Llama Stack code may also add other - system messages (for example, for formatting tool definitions). - name: - type: string - description: >- - (Optional) The name of the system message participant. - additionalProperties: false - required: - - role - - content - title: OpenAISystemMessageParam - description: >- - A system message providing instructions or context to the model. - OpenAITokenLogProb: - type: object - properties: - token: - type: string - bytes: - type: array - items: - type: integer - logprob: - type: number - top_logprobs: - type: array - items: - $ref: '#/components/schemas/OpenAITopLogProb' - additionalProperties: false - required: - - token - - logprob - - top_logprobs - title: OpenAITokenLogProb - description: >- - The log probability for a token from an OpenAI-compatible chat completion - response. - OpenAIToolMessageParam: - type: object - properties: - role: - type: string - const: tool - default: tool - description: >- - Must be "tool" to identify this as a tool response - tool_call_id: - type: string - description: >- - Unique identifier for the tool call this response is for - content: - oneOf: - - type: string - - type: array - items: - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' - description: The response content from the tool - additionalProperties: false - required: - - role - - tool_call_id - - content - title: OpenAIToolMessageParam - description: >- - A message representing the result of a tool invocation in an OpenAI-compatible - chat completion request. - OpenAITopLogProb: - type: object - properties: - token: - type: string - bytes: - type: array - items: - type: integer - logprob: - type: number - additionalProperties: false - required: - - token - - logprob - title: OpenAITopLogProb - description: >- - The top log probability for a token from an OpenAI-compatible chat completion - response. - OpenAIUserMessageParam: - type: object - properties: - role: - type: string - const: user - default: user - description: >- - Must be "user" to identify this as a user message - content: - oneOf: - - type: string - - type: array - items: - $ref: '#/components/schemas/OpenAIChatCompletionContentPartParam' - description: >- - The content of the message, which can include text and other media - name: - type: string - description: >- - (Optional) The name of the user message participant. - additionalProperties: false - required: - - role - - content - title: OpenAIUserMessageParam - description: >- - A message from the user in an OpenAI-compatible chat completion request. + description: Image URL specification for OpenAI-compatible chat completion messages. OpenAIJSONSchema: - type: object properties: name: type: string - description: Name of the schema + title: Name description: - type: string - description: (Optional) Description of the schema + anyOf: + - type: string + - type: 'null' + title: Description strict: - type: boolean - description: >- - (Optional) Whether to enforce strict adherence to the schema + anyOf: + - type: boolean + - type: 'null' + title: Strict schema: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: (Optional) The JSON schema definition - additionalProperties: false - required: - - name - title: OpenAIJSONSchema - description: >- - JSON schema specification for OpenAI-compatible structured response format. - OpenAIResponseFormatJSONObject: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Schema type: object + title: OpenAIJSONSchema + description: JSON schema specification for OpenAI-compatible structured response format. + OpenAIListModelsResponse: + properties: + data: + items: + $ref: '#/components/schemas/OpenAIModel' + type: array + title: Data + type: object + required: + - data + title: OpenAIListModelsResponse + OpenAIModel: + properties: + id: + type: string + title: Id + object: + type: string + const: model + title: Object + default: model + created: + type: integer + title: Created + owned_by: + type: string + title: Owned By + custom_metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Custom Metadata + type: object + required: + - id + - created + - owned_by + title: OpenAIModel + description: |- + A model from OpenAI. + + :id: The ID of the model + :object: The object type, which will be "model" + :created: The Unix timestamp in seconds when the model was created + :owned_by: The owner of the model + :custom_metadata: Llama Stack-specific metadata including model_type, provider info, and additional metadata + OpenAIResponseAnnotationCitation: + properties: + type: + type: string + const: url_citation + title: Type + default: url_citation + end_index: + type: integer + title: End Index + start_index: + type: integer + title: Start Index + title: + type: string + title: Title + url: + type: string + title: Url + type: object + required: + - end_index + - start_index + - title + - url + title: OpenAIResponseAnnotationCitation + description: URL citation annotation for referencing external web resources. + OpenAIResponseAnnotationContainerFileCitation: + properties: + type: + type: string + const: container_file_citation + title: Type + default: container_file_citation + container_id: + type: string + title: Container Id + end_index: + type: integer + title: End Index + file_id: + type: string + title: File Id + filename: + type: string + title: Filename + start_index: + type: integer + title: Start Index + type: object + required: + - container_id + - end_index + - file_id + - filename + - start_index + title: OpenAIResponseAnnotationContainerFileCitation + OpenAIResponseAnnotationFileCitation: + properties: + type: + type: string + const: file_citation + title: Type + default: file_citation + file_id: + type: string + title: File Id + filename: + type: string + title: Filename + index: + type: integer + title: Index + type: object + required: + - file_id + - filename + - index + title: OpenAIResponseAnnotationFileCitation + description: File citation annotation for referencing specific files in response content. + OpenAIResponseAnnotationFilePath: + properties: + type: + type: string + const: file_path + title: Type + default: file_path + file_id: + type: string + title: File Id + index: + type: integer + title: Index + type: object + required: + - file_id + - index + title: OpenAIResponseAnnotationFilePath + OpenAIResponseContentPartRefusal: + properties: + type: + type: string + const: refusal + title: Type + default: refusal + refusal: + type: string + title: Refusal + type: object + required: + - refusal + title: OpenAIResponseContentPartRefusal + description: Refusal content within a streamed response part. + OpenAIResponseError: + properties: + code: + type: string + title: Code + message: + type: string + title: Message + type: object + required: + - code + - message + title: OpenAIResponseError + description: Error details for failed OpenAI response requests. + OpenAIResponseFormatJSONObject: properties: type: type: string const: json_object + title: Type default: json_object - description: >- - Must be "json_object" to indicate generic JSON object response format - additionalProperties: false - required: - - type - title: OpenAIResponseFormatJSONObject - description: >- - JSON object response format for OpenAI-compatible chat completion requests. - OpenAIResponseFormatJSONSchema: type: object + title: OpenAIResponseFormatJSONObject + description: JSON object response format for OpenAI-compatible chat completion requests. + OpenAIResponseFormatJSONSchema: properties: type: type: string const: json_schema + title: Type default: json_schema - description: >- - Must be "json_schema" to indicate structured JSON response format json_schema: $ref: '#/components/schemas/OpenAIJSONSchema' - description: >- - The JSON schema specification for the response - additionalProperties: false - required: - - type - - json_schema - title: OpenAIResponseFormatJSONSchema - description: >- - JSON schema response format for OpenAI-compatible chat completion requests. - OpenAIResponseFormatParam: - oneOf: - - $ref: '#/components/schemas/OpenAIResponseFormatText' - - $ref: '#/components/schemas/OpenAIResponseFormatJSONSchema' - - $ref: '#/components/schemas/OpenAIResponseFormatJSONObject' - discriminator: - propertyName: type - mapping: - text: '#/components/schemas/OpenAIResponseFormatText' - json_schema: '#/components/schemas/OpenAIResponseFormatJSONSchema' - json_object: '#/components/schemas/OpenAIResponseFormatJSONObject' - OpenAIResponseFormatText: type: object + required: + - json_schema + title: OpenAIResponseFormatJSONSchema + description: JSON schema response format for OpenAI-compatible chat completion requests. + OpenAIResponseFormatText: properties: type: type: string const: text + title: Type default: text - description: >- - Must be "text" to indicate plain text response format - additionalProperties: false - required: - - type + type: object title: OpenAIResponseFormatText - description: >- - Text response format for OpenAI-compatible chat completion requests. - OpenAIChatCompletionRequestWithExtraBody: - type: object + description: Text response format for OpenAI-compatible chat completion requests. + OpenAIResponseInputFunctionToolCallOutput: properties: - model: + call_id: type: string - description: >- - The identifier of the model to use. The model must be registered with - Llama Stack and available via the /models endpoint. - messages: - type: array - items: - $ref: '#/components/schemas/OpenAIMessageParam' - description: List of messages in the conversation. - frequency_penalty: - type: number - description: >- - (Optional) The penalty for repeated tokens. - function_call: - oneOf: - - type: string - - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: (Optional) The function call to use. - functions: - type: array - items: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: (Optional) List of functions to use. - logit_bias: - type: object - additionalProperties: - type: number - description: (Optional) The logit bias to use. - logprobs: - type: boolean - description: (Optional) The log probabilities to use. - max_completion_tokens: - type: integer - description: >- - (Optional) The maximum number of tokens to generate. - max_tokens: - type: integer - description: >- - (Optional) The maximum number of tokens to generate. - n: - type: integer - description: >- - (Optional) The number of completions to generate. - parallel_tool_calls: - type: boolean - description: >- - (Optional) Whether to parallelize tool calls. - presence_penalty: - type: number - description: >- - (Optional) The penalty for repeated tokens. - response_format: - $ref: '#/components/schemas/OpenAIResponseFormatParam' - description: (Optional) The response format to use. - seed: - type: integer - description: (Optional) The seed to use. - stop: - oneOf: - - type: string - - type: array - items: - type: string - description: (Optional) The stop tokens to use. - stream: - type: boolean - description: >- - (Optional) Whether to stream the response. - stream_options: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: (Optional) The stream options to use. - temperature: - type: number - description: (Optional) The temperature to use. - tool_choice: - oneOf: - - type: string - - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: (Optional) The tool choice to use. - tools: - type: array - items: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: (Optional) The tools to use. - top_logprobs: - type: integer - description: >- - (Optional) The top log probabilities to use. - top_p: - type: number - description: (Optional) The top p to use. - user: + title: Call Id + output: type: string - description: (Optional) The user to use. - additionalProperties: false - required: - - model - - messages - title: OpenAIChatCompletionRequestWithExtraBody - description: >- - Request parameters for OpenAI-compatible chat completion endpoint. - OpenAIChatCompletion: - type: object - properties: + title: Output + type: + type: string + const: function_call_output + title: Type + default: function_call_output id: - type: string - description: The ID of the chat completion - choices: - type: array - items: - $ref: '#/components/schemas/OpenAIChoice' - description: List of choices - object: - type: string - const: chat.completion - default: chat.completion - description: >- - The object type, which will be "chat.completion" - created: - type: integer - description: >- - The Unix timestamp in seconds when the chat completion was created - model: - type: string - description: >- - The model that was used to generate the chat completion - usage: - $ref: '#/components/schemas/OpenAIChatCompletionUsage' - description: >- - Token usage information for the completion - additionalProperties: false + anyOf: + - type: string + - type: 'null' + title: Id + status: + anyOf: + - type: string + - type: 'null' + title: Status + type: object required: - - id - - choices - - object - - created - - model - title: OpenAIChatCompletion - description: >- - Response from an OpenAI-compatible chat completion request. - OpenAIChatCompletionChunk: - type: object + - call_id + - output + title: OpenAIResponseInputFunctionToolCallOutput + description: This represents the output of a function call that gets passed back to the model. + OpenAIResponseInputMessageContentFile: properties: - id: + type: type: string - description: The ID of the chat completion - choices: - type: array - items: - $ref: '#/components/schemas/OpenAIChunkChoice' - description: List of choices - object: - type: string - const: chat.completion.chunk - default: chat.completion.chunk - description: >- - The object type, which will be "chat.completion.chunk" - created: - type: integer - description: >- - The Unix timestamp in seconds when the chat completion was created - model: - type: string - description: >- - The model that was used to generate the chat completion - usage: - $ref: '#/components/schemas/OpenAIChatCompletionUsage' - description: >- - Token usage information (typically included in final chunk with stream_options) - additionalProperties: false - required: - - id - - choices - - object - - created - - model - title: OpenAIChatCompletionChunk - description: >- - Chunk from a streaming response to an OpenAI-compatible chat completion request. - OpenAIChoiceDelta: + const: input_file + title: Type + default: input_file + file_data: + anyOf: + - type: string + - type: 'null' + title: File Data + file_id: + anyOf: + - type: string + - type: 'null' + title: File Id + file_url: + anyOf: + - type: string + - type: 'null' + title: File Url + filename: + anyOf: + - type: string + - type: 'null' + title: Filename type: object + title: OpenAIResponseInputMessageContentFile + description: File content for input messages in OpenAI response format. + OpenAIResponseInputMessageContentImage: properties: - content: + detail: + anyOf: + - type: string + const: low + - type: string + const: high + - type: string + const: auto + title: Detail + default: auto + type: type: string - description: (Optional) The content of the delta - refusal: - type: string - description: (Optional) The refusal of the delta - role: - type: string - description: (Optional) The role of the delta - tool_calls: - type: array - items: - $ref: '#/components/schemas/OpenAIChatCompletionToolCall' - description: (Optional) The tool calls of the delta - reasoning_content: - type: string - description: >- - (Optional) The reasoning content from the model (non-standard, for o1/o3 - models) - additionalProperties: false - title: OpenAIChoiceDelta - description: >- - A delta from an OpenAI-compatible chat completion streaming response. - OpenAIChunkChoice: + const: input_image + title: Type + default: input_image + file_id: + anyOf: + - type: string + - type: 'null' + title: File Id + image_url: + anyOf: + - type: string + - type: 'null' + title: Image Url type: object + title: OpenAIResponseInputMessageContentImage + description: Image content for input messages in OpenAI response format. + OpenAIResponseInputMessageContentText: properties: - delta: - $ref: '#/components/schemas/OpenAIChoiceDelta' - description: The delta from the chunk - finish_reason: - type: string - description: The reason the model stopped generating - index: - type: integer - description: The index of the choice - logprobs: - $ref: '#/components/schemas/OpenAIChoiceLogprobs' - description: >- - (Optional) The log probabilities for the tokens in the message - additionalProperties: false - required: - - delta - - finish_reason - - index - title: OpenAIChunkChoice - description: >- - A chunk choice from an OpenAI-compatible chat completion streaming response. - OpenAICompletionWithInputMessages: - type: object - properties: - id: - type: string - description: The ID of the chat completion - choices: - type: array - items: - $ref: '#/components/schemas/OpenAIChoice' - description: List of choices - object: - type: string - const: chat.completion - default: chat.completion - description: >- - The object type, which will be "chat.completion" - created: - type: integer - description: >- - The Unix timestamp in seconds when the chat completion was created - model: - type: string - description: >- - The model that was used to generate the chat completion - usage: - $ref: '#/components/schemas/OpenAIChatCompletionUsage' - description: >- - Token usage information for the completion - input_messages: - type: array - items: - $ref: '#/components/schemas/OpenAIMessageParam' - additionalProperties: false - required: - - id - - choices - - object - - created - - model - - input_messages - title: OpenAICompletionWithInputMessages - OpenAICompletionRequestWithExtraBody: - type: object - properties: - model: - type: string - description: >- - The identifier of the model to use. The model must be registered with - Llama Stack and available via the /models endpoint. - prompt: - oneOf: - - type: string - - type: array - items: - type: string - - type: array - items: - type: integer - - type: array - items: - type: array - items: - type: integer - description: The prompt to generate a completion for. - best_of: - type: integer - description: >- - (Optional) The number of completions to generate. - echo: - type: boolean - description: (Optional) Whether to echo the prompt. - frequency_penalty: - type: number - description: >- - (Optional) The penalty for repeated tokens. - logit_bias: - type: object - additionalProperties: - type: number - description: (Optional) The logit bias to use. - logprobs: - type: boolean - description: (Optional) The log probabilities to use. - max_tokens: - type: integer - description: >- - (Optional) The maximum number of tokens to generate. - n: - type: integer - description: >- - (Optional) The number of completions to generate. - presence_penalty: - type: number - description: >- - (Optional) The penalty for repeated tokens. - seed: - type: integer - description: (Optional) The seed to use. - stop: - oneOf: - - type: string - - type: array - items: - type: string - description: (Optional) The stop tokens to use. - stream: - type: boolean - description: >- - (Optional) Whether to stream the response. - stream_options: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: (Optional) The stream options to use. - temperature: - type: number - description: (Optional) The temperature to use. - top_p: - type: number - description: (Optional) The top p to use. - user: - type: string - description: (Optional) The user to use. - suffix: - type: string - description: >- - (Optional) The suffix that should be appended to the completion. - additionalProperties: false - required: - - model - - prompt - title: OpenAICompletionRequestWithExtraBody - description: >- - Request parameters for OpenAI-compatible completion endpoint. - OpenAICompletion: - type: object - properties: - id: - type: string - choices: - type: array - items: - $ref: '#/components/schemas/OpenAICompletionChoice' - created: - type: integer - model: - type: string - object: - type: string - const: text_completion - default: text_completion - additionalProperties: false - required: - - id - - choices - - created - - model - - object - title: OpenAICompletion - description: >- - Response from an OpenAI-compatible completion request. - OpenAICompletionChoice: - type: object - properties: - finish_reason: - type: string text: type: string + title: Text + type: + type: string + const: input_text + title: Type + default: input_text + type: object + required: + - text + title: OpenAIResponseInputMessageContentText + description: Text content for input messages in OpenAI response format. + OpenAIResponseInputToolFileSearch: + properties: + type: + type: string + const: file_search + title: Type + default: file_search + vector_store_ids: + items: + type: string + type: array + title: Vector Store Ids + filters: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Filters + max_num_results: + anyOf: + - type: integer + maximum: 50.0 + minimum: 1.0 + - type: 'null' + title: Max Num Results + default: 10 + ranking_options: + anyOf: + - $ref: '#/components/schemas/SearchRankingOptions' + - type: 'null' + type: object + required: + - vector_store_ids + title: OpenAIResponseInputToolFileSearch + description: File search tool configuration for OpenAI response inputs. + OpenAIResponseInputToolFunction: + properties: + type: + type: string + const: function + title: Type + default: function + name: + type: string + title: Name + description: + anyOf: + - type: string + - type: 'null' + title: Description + parameters: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Parameters + strict: + anyOf: + - type: boolean + - type: 'null' + title: Strict + type: object + required: + - name + - parameters + title: OpenAIResponseInputToolFunction + description: Function tool configuration for OpenAI response inputs. + OpenAIResponseInputToolWebSearch: + properties: + type: + anyOf: + - type: string + const: web_search + - type: string + const: web_search_preview + - type: string + const: web_search_preview_2025_03_11 + - type: string + const: web_search_2025_08_26 + title: Type + default: web_search + search_context_size: + anyOf: + - type: string + pattern: ^low|medium|high$ + - type: 'null' + title: Search Context Size + default: medium + type: object + title: OpenAIResponseInputToolWebSearch + description: Web search tool configuration for OpenAI response inputs. + OpenAIResponseMCPApprovalRequest: + properties: + arguments: + type: string + title: Arguments + id: + type: string + title: Id + name: + type: string + title: Name + server_label: + type: string + title: Server Label + type: + type: string + const: mcp_approval_request + title: Type + default: mcp_approval_request + type: object + required: + - arguments + - id + - name + - server_label + title: OpenAIResponseMCPApprovalRequest + description: A request for human approval of a tool invocation. + OpenAIResponseMCPApprovalResponse: + properties: + approval_request_id: + type: string + title: Approval Request Id + approve: + type: boolean + title: Approve + type: + type: string + const: mcp_approval_response + title: Type + default: mcp_approval_response + id: + anyOf: + - type: string + - type: 'null' + title: Id + reason: + anyOf: + - type: string + - type: 'null' + title: Reason + type: object + required: + - approval_request_id + - approve + title: OpenAIResponseMCPApprovalResponse + description: A response to an MCP approval request. + OpenAIResponseMessage-Input: + properties: + content: + anyOf: + - type: string + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentText' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentImage' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentFile' + discriminator: + propertyName: type + mapping: + input_file: '#/components/schemas/OpenAIResponseInputMessageContentFile' + input_image: '#/components/schemas/OpenAIResponseInputMessageContentImage' + input_text: '#/components/schemas/OpenAIResponseInputMessageContentText' + type: array + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + discriminator: + propertyName: type + mapping: + output_text: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + type: array + title: Content + role: + anyOf: + - type: string + const: system + - type: string + const: developer + - type: string + const: user + - type: string + const: assistant + title: Role + type: + type: string + const: message + title: Type + default: message + id: + anyOf: + - type: string + - type: 'null' + title: Id + status: + anyOf: + - type: string + - type: 'null' + title: Status + type: object + required: + - content + - role + title: OpenAIResponseMessage + description: |- + Corresponds to the various Message types in the Responses API. + They are all under one type because the Responses API gives them all + the same "type" value, and there is no way to tell them apart in certain + scenarios. + OpenAIResponseMessage-Output: + properties: + content: + anyOf: + - type: string + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentText' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentImage' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentFile' + discriminator: + propertyName: type + mapping: + input_file: '#/components/schemas/OpenAIResponseInputMessageContentFile' + input_image: '#/components/schemas/OpenAIResponseInputMessageContentImage' + input_text: '#/components/schemas/OpenAIResponseInputMessageContentText' + type: array + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + discriminator: + propertyName: type + mapping: + output_text: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + type: array + title: Content + role: + anyOf: + - type: string + const: system + - type: string + const: developer + - type: string + const: user + - type: string + const: assistant + title: Role + type: + type: string + const: message + title: Type + default: message + id: + anyOf: + - type: string + - type: 'null' + title: Id + status: + anyOf: + - type: string + - type: 'null' + title: Status + type: object + required: + - content + - role + title: OpenAIResponseMessage + description: |- + Corresponds to the various Message types in the Responses API. + They are all under one type because the Responses API gives them all + the same "type" value, and there is no way to tell them apart in certain + scenarios. + OpenAIResponseObject: + properties: + created_at: + type: integer + title: Created At + error: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseError' + - type: 'null' + id: + type: string + title: Id + model: + type: string + title: Model + object: + type: string + const: response + title: Object + default: response + output: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage-Output' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + discriminator: + propertyName: type + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage-Output' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + type: array + title: Output + parallel_tool_calls: + type: boolean + title: Parallel Tool Calls + default: false + previous_response_id: + anyOf: + - type: string + - type: 'null' + title: Previous Response Id + prompt: + anyOf: + - $ref: '#/components/schemas/OpenAIResponsePrompt' + - type: 'null' + status: + type: string + title: Status + temperature: + anyOf: + - type: number + - type: 'null' + title: Temperature + text: + $ref: '#/components/schemas/OpenAIResponseText' + default: + format: + type: text + top_p: + anyOf: + - type: number + - type: 'null' + title: Top P + tools: + anyOf: + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFileSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFunction' + - $ref: '#/components/schemas/OpenAIResponseToolMCP' + discriminator: + propertyName: type + mapping: + file_search: '#/components/schemas/OpenAIResponseInputToolFileSearch' + function: '#/components/schemas/OpenAIResponseInputToolFunction' + mcp: '#/components/schemas/OpenAIResponseToolMCP' + web_search: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_2025_08_26: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_preview: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_preview_2025_03_11: '#/components/schemas/OpenAIResponseInputToolWebSearch' + type: array + - type: 'null' + title: Tools + truncation: + anyOf: + - type: string + - type: 'null' + title: Truncation + usage: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseUsage' + - type: 'null' + instructions: + anyOf: + - type: string + - type: 'null' + title: Instructions + type: object + required: + - created_at + - id + - model + - output + - status + title: OpenAIResponseObject + description: Complete OpenAI response object containing generation results and metadata. + OpenAIResponseOutputMessageContentOutputText: + properties: + text: + type: string + title: Text + type: + type: string + const: output_text + title: Type + default: output_text + annotations: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationFilePath' + discriminator: + propertyName: type + mapping: + container_file_citation: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + file_citation: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + file_path: '#/components/schemas/OpenAIResponseAnnotationFilePath' + url_citation: '#/components/schemas/OpenAIResponseAnnotationCitation' + type: array + title: Annotations + type: object + required: + - text + title: OpenAIResponseOutputMessageContentOutputText + OpenAIResponseOutputMessageFileSearchToolCall: + properties: + id: + type: string + title: Id + queries: + items: + type: string + type: array + title: Queries + status: + type: string + title: Status + type: + type: string + const: file_search_call + title: Type + default: file_search_call + results: + anyOf: + - items: + $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCallResults' + type: array + - type: 'null' + title: Results + type: object + required: + - id + - queries + - status + title: OpenAIResponseOutputMessageFileSearchToolCall + description: File search tool call output message for OpenAI responses. + OpenAIResponseOutputMessageFileSearchToolCallResults: + properties: + attributes: + additionalProperties: true + type: object + title: Attributes + file_id: + type: string + title: File Id + filename: + type: string + title: Filename + score: + type: number + title: Score + text: + type: string + title: Text + type: object + required: + - attributes + - file_id + - filename + - score + - text + title: OpenAIResponseOutputMessageFileSearchToolCallResults + description: Search results returned by the file search operation. + OpenAIResponseOutputMessageFunctionToolCall: + properties: + call_id: + type: string + title: Call Id + name: + type: string + title: Name + arguments: + type: string + title: Arguments + type: + type: string + const: function_call + title: Type + default: function_call + id: + anyOf: + - type: string + - type: 'null' + title: Id + status: + anyOf: + - type: string + - type: 'null' + title: Status + type: object + required: + - call_id + - name + - arguments + title: OpenAIResponseOutputMessageFunctionToolCall + description: Function tool call output message for OpenAI responses. + OpenAIResponseOutputMessageMCPCall: + properties: + id: + type: string + title: Id + type: + type: string + const: mcp_call + title: Type + default: mcp_call + arguments: + type: string + title: Arguments + name: + type: string + title: Name + server_label: + type: string + title: Server Label + error: + anyOf: + - type: string + - type: 'null' + title: Error + output: + anyOf: + - type: string + - type: 'null' + title: Output + type: object + required: + - id + - arguments + - name + - server_label + title: OpenAIResponseOutputMessageMCPCall + description: Model Context Protocol (MCP) call output message for OpenAI responses. + OpenAIResponseOutputMessageMCPListTools: + properties: + id: + type: string + title: Id + type: + type: string + const: mcp_list_tools + title: Type + default: mcp_list_tools + server_label: + type: string + title: Server Label + tools: + items: + $ref: '#/components/schemas/MCPListToolsTool' + type: array + title: Tools + type: object + required: + - id + - server_label + - tools + title: OpenAIResponseOutputMessageMCPListTools + description: MCP list tools output message containing available tools from an MCP server. + OpenAIResponseOutputMessageWebSearchToolCall: + properties: + id: + type: string + title: Id + status: + type: string + title: Status + type: + type: string + const: web_search_call + title: Type + default: web_search_call + type: object + required: + - id + - status + title: OpenAIResponseOutputMessageWebSearchToolCall + description: Web search tool call output message for OpenAI responses. + OpenAIResponsePrompt: + properties: + id: + type: string + title: Id + variables: + anyOf: + - additionalProperties: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentText' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentImage' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentFile' + discriminator: + propertyName: type + mapping: + input_file: '#/components/schemas/OpenAIResponseInputMessageContentFile' + input_image: '#/components/schemas/OpenAIResponseInputMessageContentImage' + input_text: '#/components/schemas/OpenAIResponseInputMessageContentText' + type: object + - type: 'null' + title: Variables + version: + anyOf: + - type: string + - type: 'null' + title: Version + type: object + required: + - id + title: OpenAIResponsePrompt + description: OpenAI compatible Prompt object that is used in OpenAI responses. + OpenAIResponseText: + properties: + format: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseTextFormat' + - type: 'null' + type: object + title: OpenAIResponseText + description: Text response configuration for OpenAI responses. + OpenAIResponseTextFormat: + properties: + type: + anyOf: + - type: string + const: text + - type: string + const: json_schema + - type: string + const: json_object + title: Type + name: + anyOf: + - type: string + - type: 'null' + title: Name + schema: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Schema + description: + anyOf: + - type: string + - type: 'null' + title: Description + strict: + anyOf: + - type: boolean + - type: 'null' + title: Strict + type: object + title: OpenAIResponseTextFormat + description: Configuration for Responses API text format. + OpenAIResponseToolMCP: + properties: + type: + type: string + const: mcp + title: Type + default: mcp + server_label: + type: string + title: Server Label + allowed_tools: + anyOf: + - items: + type: string + type: array + - $ref: '#/components/schemas/AllowedToolsFilter' + - type: 'null' + title: Allowed Tools + type: object + required: + - server_label + title: OpenAIResponseToolMCP + description: Model Context Protocol (MCP) tool configuration for OpenAI response object. + OpenAIResponseUsage: + properties: + input_tokens: + type: integer + title: Input Tokens + output_tokens: + type: integer + title: Output Tokens + total_tokens: + type: integer + title: Total Tokens + input_tokens_details: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseUsageInputTokensDetails' + - type: 'null' + output_tokens_details: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseUsageOutputTokensDetails' + - type: 'null' + type: object + required: + - input_tokens + - output_tokens + - total_tokens + title: OpenAIResponseUsage + description: Usage information for OpenAI response. + OpenAIResponseUsageInputTokensDetails: + properties: + cached_tokens: + anyOf: + - type: integer + - type: 'null' + title: Cached Tokens + type: object + title: OpenAIResponseUsageInputTokensDetails + description: Token details for input tokens in OpenAI response usage. + OpenAIResponseUsageOutputTokensDetails: + properties: + reasoning_tokens: + anyOf: + - type: integer + - type: 'null' + title: Reasoning Tokens + type: object + title: OpenAIResponseUsageOutputTokensDetails + description: Token details for output tokens in OpenAI response usage. + OpenAISystemMessageParam: + properties: + role: + type: string + const: system + title: Role + default: system + content: + anyOf: + - type: string + - items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + title: Content + name: + anyOf: + - type: string + - type: 'null' + title: Name + type: object + required: + - content + title: OpenAISystemMessageParam + description: A system message providing instructions or context to the model. + OpenAITokenLogProb: + properties: + token: + type: string + title: Token + bytes: + anyOf: + - items: + type: integer + type: array + - type: 'null' + title: Bytes + logprob: + type: number + title: Logprob + top_logprobs: + items: + $ref: '#/components/schemas/OpenAITopLogProb' + type: array + title: Top Logprobs + type: object + required: + - token + - logprob + - top_logprobs + title: OpenAITokenLogProb + description: |- + The log probability for a token from an OpenAI-compatible chat completion response. + + :token: The token + :bytes: (Optional) The bytes for the token + :logprob: The log probability of the token + :top_logprobs: The top log probabilities for the token + OpenAIToolMessageParam: + properties: + role: + type: string + const: tool + title: Role + default: tool + tool_call_id: + type: string + title: Tool Call Id + content: + anyOf: + - type: string + - items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + title: Content + type: object + required: + - tool_call_id + - content + title: OpenAIToolMessageParam + description: A message representing the result of a tool invocation in an OpenAI-compatible chat completion request. + OpenAITopLogProb: + properties: + token: + type: string + title: Token + bytes: + anyOf: + - items: + type: integer + type: array + - type: 'null' + title: Bytes + logprob: + type: number + title: Logprob + type: object + required: + - token + - logprob + title: OpenAITopLogProb + description: |- + The top log probability for a token from an OpenAI-compatible chat completion response. + + :token: The token + :bytes: (Optional) The bytes for the token + :logprob: The log probability of the token + OpenAIUserMessageParam-Input: + properties: + role: + type: string + const: user + title: Role + default: user + content: + anyOf: + - type: string + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + - $ref: '#/components/schemas/OpenAIFile' + discriminator: + propertyName: type + mapping: + file: '#/components/schemas/OpenAIFile' + image_url: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + text: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + title: Content + name: + anyOf: + - type: string + - type: 'null' + title: Name + type: object + required: + - content + title: OpenAIUserMessageParam + description: A message from the user in an OpenAI-compatible chat completion request. + OpenAIUserMessageParam-Output: + properties: + role: + type: string + const: user + title: Role + default: user + content: + anyOf: + - type: string + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + - $ref: '#/components/schemas/OpenAIFile' + discriminator: + propertyName: type + mapping: + file: '#/components/schemas/OpenAIFile' + image_url: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + text: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + title: Content + name: + anyOf: + - type: string + - type: 'null' + title: Name + type: object + required: + - content + title: OpenAIUserMessageParam + description: A message from the user in an OpenAI-compatible chat completion request. + OptimizerConfig: + properties: + optimizer_type: + $ref: '#/components/schemas/OptimizerType' + lr: + type: number + title: Lr + weight_decay: + type: number + title: Weight Decay + num_warmup_steps: + type: integer + title: Num Warmup Steps + type: object + required: + - optimizer_type + - lr + - weight_decay + - num_warmup_steps + title: OptimizerConfig + description: Configuration parameters for the optimization algorithm. + OptimizerType: + type: string + enum: + - adam + - adamw + - sgd + title: OptimizerType + description: Available optimizer algorithms for training. + Order: + type: string + enum: + - asc + - desc + title: Order + description: Sort order for paginated responses. + OutputTokensDetails: + properties: + reasoning_tokens: + type: integer + title: Reasoning Tokens + additionalProperties: true + type: object + required: + - reasoning_tokens + title: OutputTokensDetails + Prompt: + properties: + prompt: + anyOf: + - type: string + - type: 'null' + title: Prompt + description: The system prompt with variable placeholders + version: + type: integer + minimum: 1.0 + title: Version + description: Version (integer starting at 1, incremented on save) + prompt_id: + type: string + title: Prompt Id + description: Unique identifier in format 'pmpt_<48-digit-hash>' + variables: + items: + type: string + type: array + title: Variables + description: List of variable names that can be used in the prompt template + is_default: + type: boolean + title: Is Default + description: Boolean indicating whether this version is the default version + default: false + type: object + required: + - version + - prompt_id + title: Prompt + description: A prompt resource representing a stored OpenAI Compatible prompt template in Llama Stack. + ProviderInfo: + properties: + api: + type: string + title: Api + provider_id: + type: string + title: Provider Id + provider_type: + type: string + title: Provider Type + config: + additionalProperties: true + type: object + title: Config + health: + additionalProperties: true + type: object + title: Health + type: object + required: + - api + - provider_id + - provider_type + - config + - health + title: ProviderInfo + description: Information about a registered provider including its configuration and health status. + QATFinetuningConfig: + properties: + type: + type: string + const: QAT + title: Type + default: QAT + quantizer_name: + type: string + title: Quantizer Name + group_size: + type: integer + title: Group Size + type: object + required: + - quantizer_name + - group_size + title: QATFinetuningConfig + description: Configuration for Quantization-Aware Training (QAT) fine-tuning. + QueryChunksResponse: + properties: + chunks: + items: + $ref: '#/components/schemas/Chunk-Output' + type: array + title: Chunks + scores: + items: + type: number + type: array + title: Scores + type: object + required: + - chunks + - scores + title: QueryChunksResponse + description: Response from querying chunks in a vector database. + RegexParserScoringFnParams: + properties: + type: + type: string + const: regex_parser + title: Type + default: regex_parser + parsing_regexes: + items: + type: string + type: array + title: Parsing Regexes + description: Regex to extract the answer from generated response + aggregation_functions: + items: + $ref: '#/components/schemas/AggregationFunctionType' + type: array + title: Aggregation Functions + description: Aggregation functions to apply to the scores of each row + type: object + title: RegexParserScoringFnParams + description: Parameters for regex parser scoring function configuration. + RerankData: + properties: index: type: integer - logprobs: - $ref: '#/components/schemas/OpenAIChoiceLogprobs' - additionalProperties: false + title: Index + relevance_score: + type: number + title: Relevance Score + type: object required: - - finish_reason - - text - - index - title: OpenAICompletionChoice - description: >- - A choice from an OpenAI-compatible completion response. - ConversationItem: + - index + - relevance_score + title: RerankData + description: A single rerank result from a reranking response. + RerankResponse: + properties: + data: + items: + $ref: '#/components/schemas/RerankData' + type: array + title: Data + type: object + required: + - data + title: RerankResponse + description: Response from a reranking request. + RowsDataSource: + properties: + type: + type: string + const: rows + title: Type + default: rows + rows: + items: + additionalProperties: true + type: object + type: array + title: Rows + type: object + required: + - rows + title: RowsDataSource + description: A dataset stored in rows. + RunShieldResponse: + properties: + violation: + anyOf: + - $ref: '#/components/schemas/SafetyViolation' + - type: 'null' + type: object + title: RunShieldResponse + description: Response from running a safety shield. + SafetyViolation: + properties: + violation_level: + $ref: '#/components/schemas/ViolationLevel' + user_message: + anyOf: + - type: string + - type: 'null' + title: User Message + metadata: + additionalProperties: true + type: object + title: Metadata + type: object + required: + - violation_level + title: SafetyViolation + description: Details of a safety violation detected by content moderation. + SamplingParams: + properties: + strategy: + oneOf: + - $ref: '#/components/schemas/GreedySamplingStrategy' + - $ref: '#/components/schemas/TopPSamplingStrategy' + - $ref: '#/components/schemas/TopKSamplingStrategy' + title: Strategy + discriminator: + propertyName: type + mapping: + greedy: '#/components/schemas/GreedySamplingStrategy' + top_k: '#/components/schemas/TopKSamplingStrategy' + top_p: '#/components/schemas/TopPSamplingStrategy' + max_tokens: + anyOf: + - type: integer + - type: 'null' + title: Max Tokens + repetition_penalty: + anyOf: + - type: number + - type: 'null' + title: Repetition Penalty + default: 1.0 + stop: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: Stop + type: object + title: SamplingParams + description: Sampling parameters. + ScoreBatchResponse: + properties: + dataset_id: + anyOf: + - type: string + - type: 'null' + title: Dataset Id + results: + additionalProperties: + $ref: '#/components/schemas/ScoringResult' + type: object + title: Results + type: object + required: + - results + title: ScoreBatchResponse + description: Response from batch scoring operations on datasets. + ScoreResponse: + properties: + results: + additionalProperties: + $ref: '#/components/schemas/ScoringResult' + type: object + title: Results + type: object + required: + - results + title: ScoreResponse + description: The response from scoring. + ScoringFn: + properties: + identifier: + type: string + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: + type: string + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: scoring_function + title: Type + default: scoring_function + description: + anyOf: + - type: string + - type: 'null' + title: Description + metadata: + additionalProperties: true + type: object + title: Metadata + description: Any additional metadata for this definition + return_type: + oneOf: + - $ref: '#/components/schemas/StringType' + - $ref: '#/components/schemas/NumberType' + - $ref: '#/components/schemas/BooleanType' + - $ref: '#/components/schemas/ArrayType' + - $ref: '#/components/schemas/ObjectType' + - $ref: '#/components/schemas/JsonType' + - $ref: '#/components/schemas/UnionType' + - $ref: '#/components/schemas/ChatCompletionInputType' + - $ref: '#/components/schemas/CompletionInputType' + title: Return Type + description: The return type of the deterministic function + discriminator: + propertyName: type + mapping: + array: '#/components/schemas/ArrayType' + boolean: '#/components/schemas/BooleanType' + chat_completion_input: '#/components/schemas/ChatCompletionInputType' + completion_input: '#/components/schemas/CompletionInputType' + json: '#/components/schemas/JsonType' + number: '#/components/schemas/NumberType' + object: '#/components/schemas/ObjectType' + string: '#/components/schemas/StringType' + union: '#/components/schemas/UnionType' + params: + anyOf: + - oneOf: + - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams' + - $ref: '#/components/schemas/RegexParserScoringFnParams' + - $ref: '#/components/schemas/BasicScoringFnParams' + discriminator: + propertyName: type + mapping: + basic: '#/components/schemas/BasicScoringFnParams' + llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams' + regex_parser: '#/components/schemas/RegexParserScoringFnParams' + - type: 'null' + title: Params + description: The parameters for the scoring function for benchmark eval, these can be overridden for app eval + type: object + required: + - identifier + - provider_id + - return_type + title: ScoringFn + description: A scoring function resource for evaluating model outputs. + ScoringResult: + properties: + score_rows: + items: + additionalProperties: true + type: object + type: array + title: Score Rows + aggregated_results: + additionalProperties: true + type: object + title: Aggregated Results + type: object + required: + - score_rows + - aggregated_results + title: ScoringResult + description: A scoring result for a single row. + SearchRankingOptions: + properties: + ranker: + anyOf: + - type: string + - type: 'null' + title: Ranker + score_threshold: + anyOf: + - type: number + - type: 'null' + title: Score Threshold + default: 0.0 + type: object + title: SearchRankingOptions + description: Options for ranking and filtering search results. + Shield: + properties: + identifier: + type: string + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: + type: string + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: shield + title: Type + default: shield + params: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Params + type: object + required: + - identifier + - provider_id + title: Shield + description: A safety shield resource that can be used to check content. + StringType: + properties: + type: + type: string + const: string + title: Type + default: string + type: object + title: StringType + description: Parameter type for string values. + SystemMessage: + properties: + role: + type: string + const: system + title: Role + default: system + content: + anyOf: + - type: string + - oneOf: + - $ref: '#/components/schemas/ImageContentItem-Input' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Input' + text: '#/components/schemas/TextContentItem' + - items: + oneOf: + - $ref: '#/components/schemas/ImageContentItem-Input' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Input' + text: '#/components/schemas/TextContentItem' + type: array + title: Content + type: object + required: + - content + title: SystemMessage + description: A system message providing instructions or context to the model. + TextContentItem: + properties: + type: + type: string + const: text + title: Type + default: text + text: + type: string + title: Text + type: object + required: + - text + title: TextContentItem + description: A text content item + ToolDef: + properties: + toolgroup_id: + anyOf: + - type: string + - type: 'null' + title: Toolgroup Id + name: + type: string + title: Name + description: + anyOf: + - type: string + - type: 'null' + title: Description + input_schema: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Input Schema + output_schema: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Output Schema + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + type: object + required: + - name + title: ToolDef + description: Tool definition used in runtime contexts. + ToolGroup: + properties: + identifier: + type: string + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: + type: string + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: tool_group + title: Type + default: tool_group + mcp_endpoint: + anyOf: + - $ref: '#/components/schemas/URL' + - type: 'null' + args: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Args + type: object + required: + - identifier + - provider_id + title: ToolGroup + description: A group of related tools managed together. + ToolInvocationResult: + properties: + content: + anyOf: + - type: string + - oneOf: + - $ref: '#/components/schemas/ImageContentItem-Output' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Output' + text: '#/components/schemas/TextContentItem' + - items: + oneOf: + - $ref: '#/components/schemas/ImageContentItem-Output' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Output' + text: '#/components/schemas/TextContentItem' + type: array + - type: 'null' + title: Content + error_message: + anyOf: + - type: string + - type: 'null' + title: Error Message + error_code: + anyOf: + - type: integer + - type: 'null' + title: Error Code + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + type: object + title: ToolInvocationResult + description: Result of a tool invocation. + TopKSamplingStrategy: + properties: + type: + type: string + const: top_k + title: Type + default: top_k + top_k: + type: integer + minimum: 1.0 + title: Top K + type: object + required: + - top_k + title: TopKSamplingStrategy + description: Top-k sampling strategy that restricts sampling to the k most likely tokens. + TopPSamplingStrategy: + properties: + type: + type: string + const: top_p + title: Type + default: top_p + temperature: + anyOf: + - type: number + minimum: 0.0 + - type: 'null' + title: Temperature + top_p: + anyOf: + - type: number + - type: 'null' + title: Top P + default: 0.95 + type: object + required: + - temperature + title: TopPSamplingStrategy + description: Top-p (nucleus) sampling strategy that samples from the smallest set of tokens with cumulative probability >= p. + TrainingConfig: + properties: + n_epochs: + type: integer + title: N Epochs + max_steps_per_epoch: + type: integer + title: Max Steps Per Epoch + default: 1 + gradient_accumulation_steps: + type: integer + title: Gradient Accumulation Steps + default: 1 + max_validation_steps: + anyOf: + - type: integer + - type: 'null' + title: Max Validation Steps + default: 1 + data_config: + anyOf: + - $ref: '#/components/schemas/DataConfig' + - type: 'null' + optimizer_config: + anyOf: + - $ref: '#/components/schemas/OptimizerConfig' + - type: 'null' + efficiency_config: + anyOf: + - $ref: '#/components/schemas/EfficiencyConfig' + - type: 'null' + dtype: + anyOf: + - type: string + - type: 'null' + title: Dtype + default: bf16 + type: object + required: + - n_epochs + title: TrainingConfig + description: Comprehensive configuration for the training process. + URIDataSource: + properties: + type: + type: string + const: uri + title: Type + default: uri + uri: + type: string + title: Uri + type: object + required: + - uri + title: URIDataSource + description: A dataset that can be obtained from a URI. + URL: + properties: + uri: + type: string + title: Uri + type: object + required: + - uri + title: URL + description: A URL reference to external content. + UnionType: + properties: + type: + type: string + const: union + title: Type + default: union + type: object + title: UnionType + description: Parameter type for union values. + VectorStoreChunkingStrategyAuto: + properties: + type: + type: string + const: auto + title: Type + default: auto + type: object + title: VectorStoreChunkingStrategyAuto + description: Automatic chunking strategy for vector store files. + VectorStoreChunkingStrategyStatic: + properties: + type: + type: string + const: static + title: Type + default: static + static: + $ref: '#/components/schemas/VectorStoreChunkingStrategyStaticConfig' + type: object + required: + - static + title: VectorStoreChunkingStrategyStatic + description: Static chunking strategy with configurable parameters. + VectorStoreChunkingStrategyStaticConfig: + properties: + chunk_overlap_tokens: + type: integer + title: Chunk Overlap Tokens + default: 400 + max_chunk_size_tokens: + type: integer + maximum: 4096.0 + minimum: 100.0 + title: Max Chunk Size Tokens + default: 800 + type: object + title: VectorStoreChunkingStrategyStaticConfig + description: Configuration for static chunking strategy. + VectorStoreContent: + properties: + type: + type: string + const: text + title: Type + text: + type: string + title: Text + type: object + required: + - type + - text + title: VectorStoreContent + description: Content item from a vector store file or search result. + VectorStoreDeleteResponse: + properties: + id: + type: string + title: Id + object: + type: string + title: Object + default: vector_store.deleted + deleted: + type: boolean + title: Deleted + default: true + type: object + required: + - id + title: VectorStoreDeleteResponse + description: Response from deleting a vector store. + VectorStoreFileBatchObject: + properties: + id: + type: string + title: Id + object: + type: string + title: Object + default: vector_store.file_batch + created_at: + type: integer + title: Created At + vector_store_id: + type: string + title: Vector Store Id + status: + anyOf: + - type: string + const: completed + - type: string + const: in_progress + - type: string + const: cancelled + - type: string + const: failed + title: Status + file_counts: + $ref: '#/components/schemas/VectorStoreFileCounts' + type: object + required: + - id + - created_at + - vector_store_id + - status + - file_counts + title: VectorStoreFileBatchObject + description: OpenAI Vector Store File Batch object. + VectorStoreFileContentsResponse: + properties: + file_id: + type: string + title: File Id + filename: + type: string + title: Filename + attributes: + additionalProperties: true + type: object + title: Attributes + content: + items: + $ref: '#/components/schemas/VectorStoreContent' + type: array + title: Content + type: object + required: + - file_id + - filename + - attributes + - content + title: VectorStoreFileContentsResponse + description: Response from retrieving the contents of a vector store file. + VectorStoreFileCounts: + properties: + completed: + type: integer + title: Completed + cancelled: + type: integer + title: Cancelled + failed: + type: integer + title: Failed + in_progress: + type: integer + title: In Progress + total: + type: integer + title: Total + type: object + required: + - completed + - cancelled + - failed + - in_progress + - total + title: VectorStoreFileCounts + description: File processing status counts for a vector store. + VectorStoreFileDeleteResponse: + properties: + id: + type: string + title: Id + object: + type: string + title: Object + default: vector_store.file.deleted + deleted: + type: boolean + title: Deleted + default: true + type: object + required: + - id + title: VectorStoreFileDeleteResponse + description: Response from deleting a vector store file. + VectorStoreFileLastError: + properties: + code: + anyOf: + - type: string + const: server_error + - type: string + const: rate_limit_exceeded + title: Code + message: + type: string + title: Message + type: object + required: + - code + - message + title: VectorStoreFileLastError + description: Error information for failed vector store file processing. + VectorStoreFileObject: + properties: + id: + type: string + title: Id + object: + type: string + title: Object + default: vector_store.file + attributes: + additionalProperties: true + type: object + title: Attributes + chunking_strategy: + oneOf: + - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' + - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + title: Chunking Strategy + discriminator: + propertyName: type + mapping: + auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' + static: '#/components/schemas/VectorStoreChunkingStrategyStatic' + created_at: + type: integer + title: Created At + last_error: + anyOf: + - $ref: '#/components/schemas/VectorStoreFileLastError' + - type: 'null' + status: + anyOf: + - type: string + const: completed + - type: string + const: in_progress + - type: string + const: cancelled + - type: string + const: failed + title: Status + usage_bytes: + type: integer + title: Usage Bytes + default: 0 + vector_store_id: + type: string + title: Vector Store Id + type: object + required: + - id + - chunking_strategy + - created_at + - status + - vector_store_id + title: VectorStoreFileObject + description: OpenAI Vector Store File object. + VectorStoreObject: + properties: + id: + type: string + title: Id + object: + type: string + title: Object + default: vector_store + created_at: + type: integer + title: Created At + name: + anyOf: + - type: string + - type: 'null' + title: Name + usage_bytes: + type: integer + title: Usage Bytes + default: 0 + file_counts: + $ref: '#/components/schemas/VectorStoreFileCounts' + status: + type: string + title: Status + default: completed + expires_after: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Expires After + expires_at: + anyOf: + - type: integer + - type: 'null' + title: Expires At + last_active_at: + anyOf: + - type: integer + - type: 'null' + title: Last Active At + metadata: + additionalProperties: true + type: object + title: Metadata + type: object + required: + - id + - created_at + - file_counts + title: VectorStoreObject + description: OpenAI Vector Store object. + VectorStoreSearchResponse: + properties: + file_id: + type: string + title: File Id + filename: + type: string + title: Filename + score: + type: number + title: Score + attributes: + anyOf: + - additionalProperties: + anyOf: + - type: string + - type: number + - type: boolean + type: object + - type: 'null' + title: Attributes + content: + items: + $ref: '#/components/schemas/VectorStoreContent' + type: array + title: Content + type: object + required: + - file_id + - filename + - score + - content + title: VectorStoreSearchResponse + description: Response from searching a vector store. + VectorStoreSearchResponsePage: + properties: + object: + type: string + title: Object + default: vector_store.search_results.page + search_query: + items: + type: string + type: array + title: Search Query + data: + items: + $ref: '#/components/schemas/VectorStoreSearchResponse' + type: array + title: Data + has_more: + type: boolean + title: Has More + default: false + next_page: + anyOf: + - type: string + - type: 'null' + title: Next Page + type: object + required: + - search_query + - data + title: VectorStoreSearchResponsePage + description: Paginated response from searching a vector store. + VersionInfo: + properties: + version: + type: string + title: Version + type: object + required: + - version + title: VersionInfo + description: Version information for the service. + ViolationLevel: + type: string + enum: + - info + - warn + - error + title: ViolationLevel + description: Severity level of a safety violation. + _URLOrData: + properties: + url: + anyOf: + - $ref: '#/components/schemas/URL' + - type: 'null' + data: + anyOf: + - type: string + - type: 'null' + contentEncoding: base64 + title: Data + type: object + title: _URLOrData + description: A URL or a base64 encoded string + _batches_Request: + properties: + input_file_id: + type: string + title: Input File Id + endpoint: + type: string + title: Endpoint + completion_window: + type: string + const: 24h + title: Completion Window + metadata: + anyOf: + - additionalProperties: + type: string + type: object + - type: 'null' + title: Metadata + idempotency_key: + anyOf: + - type: string + - type: 'null' + title: Idempotency Key + type: object + required: + - input_file_id + - endpoint + - completion_window + title: _batches_Request + _conversations_Request: + properties: + items: + anyOf: + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage-Input' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + discriminator: + propertyName: type + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + function_call_output: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_approval_response: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage-Input' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + type: array + - type: 'null' + title: Items + metadata: + anyOf: + - additionalProperties: + type: string + type: object + - type: 'null' + title: Metadata + type: object + title: _conversations_Request + _conversations_conversation_id_Request: + properties: + metadata: + additionalProperties: + type: string + type: object + title: Metadata + type: object + required: + - metadata + title: _conversations_conversation_id_Request + _conversations_conversation_id_items_Request: + properties: + items: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage-Input' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + discriminator: + propertyName: type + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + function_call_output: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_approval_response: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage-Input' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + type: array + title: Items + type: object + required: + - items + title: _conversations_conversation_id_items_Request + _models_Request: + properties: + model_id: + type: string + title: Model Id + provider_model_id: + anyOf: + - type: string + - type: 'null' + title: Provider Model Id + provider_id: + anyOf: + - type: string + - type: 'null' + title: Provider Id + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + model_type: + anyOf: + - $ref: '#/components/schemas/ModelType' + - type: 'null' + type: object + required: + - model_id + title: _models_Request + _moderations_Request: + properties: + input: + anyOf: + - type: string + - items: + type: string + type: array + title: Input + model: + anyOf: + - type: string + - type: 'null' + title: Model + type: object + required: + - input + title: _moderations_Request + _prompts_Request: + properties: + prompt: + type: string + title: Prompt + variables: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: Variables + type: object + required: + - prompt + title: _prompts_Request + _prompts_prompt_id_Request: + properties: + prompt: + type: string + title: Prompt + version: + type: integer + title: Version + variables: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: Variables + set_as_default: + type: boolean + title: Set As Default + default: true + type: object + required: + - prompt + - version + title: _prompts_prompt_id_Request + _prompts_prompt_id_set_default_version_Request: + properties: + version: + type: integer + title: Version + type: object + required: + - version + title: _prompts_prompt_id_set_default_version_Request + _responses_Request: + properties: + input: + title: Input + model: + title: Model + prompt: + title: Prompt + instructions: + title: Instructions + previous_response_id: + title: Previous Response Id + conversation: + title: Conversation + store: + title: Store + default: true + stream: + title: Stream + default: false + temperature: + title: Temperature + text: + title: Text + tools: + title: Tools + include: + title: Include + max_infer_iters: + title: Max Infer Iters + default: 10 + guardrails: + title: Guardrails + type: object + required: + - input + - model + title: _responses_Request + _scoring_score_Request: + properties: + input_rows: + items: + additionalProperties: true + type: object + type: array + title: Input Rows + scoring_functions: + additionalProperties: + anyOf: + - oneOf: + - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams' + - $ref: '#/components/schemas/RegexParserScoringFnParams' + - $ref: '#/components/schemas/BasicScoringFnParams' + discriminator: + propertyName: type + mapping: + basic: '#/components/schemas/BasicScoringFnParams' + llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams' + regex_parser: '#/components/schemas/RegexParserScoringFnParams' + - type: 'null' + type: object + title: Scoring Functions + type: object + required: + - input_rows + - scoring_functions + title: _scoring_score_Request + _scoring_score_batch_Request: + properties: + dataset_id: + type: string + title: Dataset Id + scoring_functions: + additionalProperties: + anyOf: + - oneOf: + - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams' + - $ref: '#/components/schemas/RegexParserScoringFnParams' + - $ref: '#/components/schemas/BasicScoringFnParams' + discriminator: + propertyName: type + mapping: + basic: '#/components/schemas/BasicScoringFnParams' + llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams' + regex_parser: '#/components/schemas/RegexParserScoringFnParams' + - type: 'null' + type: object + title: Scoring Functions + save_results_dataset: + type: boolean + title: Save Results Dataset + default: false + type: object + required: + - dataset_id + - scoring_functions + title: _scoring_score_batch_Request + _shields_Request: + properties: + shield_id: + type: string + title: Shield Id + provider_shield_id: + anyOf: + - type: string + - type: 'null' + title: Provider Shield Id + provider_id: + anyOf: + - type: string + - type: 'null' + title: Provider Id + params: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Params + type: object + required: + - shield_id + title: _shields_Request + _tool_runtime_invoke_Request: + properties: + tool_name: + type: string + title: Tool Name + kwargs: + additionalProperties: true + type: object + title: Kwargs + type: object + required: + - tool_name + - kwargs + title: _tool_runtime_invoke_Request + _vector_io_query_Request: + properties: + vector_store_id: + type: string + title: Vector Store Id + query: + anyOf: + - type: string + - oneOf: + - $ref: '#/components/schemas/ImageContentItem-Input' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Input' + text: '#/components/schemas/TextContentItem' + - items: + oneOf: + - $ref: '#/components/schemas/ImageContentItem-Input' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Input' + text: '#/components/schemas/TextContentItem' + type: array + title: Query + params: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Params + type: object + required: + - vector_store_id + - query + title: _vector_io_query_Request + _vector_stores_vector_store_id_Request: + properties: + name: + anyOf: + - type: string + - type: 'null' + title: Name + expires_after: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Expires After + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + type: object + title: _vector_stores_vector_store_id_Request + _vector_stores_vector_store_id_files_Request: + properties: + file_id: + type: string + title: File Id + attributes: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Attributes + chunking_strategy: + anyOf: + - oneOf: + - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' + - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + discriminator: + propertyName: type + mapping: + auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' + static: '#/components/schemas/VectorStoreChunkingStrategyStatic' + - type: 'null' + title: Chunking Strategy + type: object + required: + - file_id + title: _vector_stores_vector_store_id_files_Request + _vector_stores_vector_store_id_files_file_id_Request: + properties: + attributes: + additionalProperties: true + type: object + title: Attributes + type: object + required: + - attributes + title: _vector_stores_vector_store_id_files_file_id_Request + _vector_stores_vector_store_id_search_Request: + properties: + query: + anyOf: + - type: string + - items: + type: string + type: array + title: Query + filters: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Filters + max_num_results: + anyOf: + - type: integer + - type: 'null' + title: Max Num Results + default: 10 + ranking_options: + anyOf: + - $ref: '#/components/schemas/SearchRankingOptions' + - type: 'null' + rewrite_query: + anyOf: + - type: boolean + - type: 'null' + title: Rewrite Query + default: false + search_mode: + anyOf: + - type: string + - type: 'null' + title: Search Mode + default: vector + type: object + required: + - query + title: _vector_stores_vector_store_id_search_Request + Error: + description: Error response from the API. Roughly follows RFC 7807. + properties: + status: + title: Status + type: integer + title: + title: Title + type: string + detail: + title: Detail + type: string + instance: + anyOf: + - type: string + - type: 'null' + title: Instance + nullable: true + required: + - status + - title + - detail + title: Error + type: object + ImageContentItem: + description: A image content item + properties: + type: + const: image + default: image + title: Type + type: string + image: + $ref: '#/components/schemas/_URLOrData' + required: + - image + title: ImageContentItem + type: object + InterleavedContentItem: + discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + InterleavedContent: + anyOf: + - type: string + - discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + - items: + discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + type: array + BuiltinTool: + enum: + - brave_search + - wolfram_alpha + - photogen + - code_interpreter + title: BuiltinTool + type: string + ImageDelta: + description: An image content delta for streaming responses. + properties: + type: + const: image + default: image + title: Type + type: string + image: + format: binary + title: Image + type: string + required: + - image + title: ImageDelta + type: object + TextDelta: + description: A text content delta for streaming responses. + properties: + type: + const: text + default: text + title: Type + type: string + text: + title: Text + type: string + required: + - text + title: TextDelta + type: object + ToolCall: + properties: + call_id: + title: Call Id + type: string + tool_name: + anyOf: + - $ref: '#/components/schemas/BuiltinTool' + - type: string + title: Tool Name + arguments: + title: Arguments + type: string + required: + - call_id + - tool_name + - arguments + title: ToolCall + type: object + ToolCallDelta: + description: A tool call content delta for streaming responses. + properties: + type: + const: tool_call + default: tool_call + title: Type + type: string + tool_call: + anyOf: + - type: string + - $ref: '#/components/schemas/ToolCall' + title: Tool Call + parse_status: + $ref: '#/components/schemas/ToolCallParseStatus' + required: + - tool_call + - parse_status + title: ToolCallDelta + type: object + ToolCallParseStatus: + description: Status of tool call parsing during streaming. + enum: + - started + - in_progress + - failed + - succeeded + title: ToolCallParseStatus + type: string + ContentDelta: + discriminator: + mapping: + image: '#/components/schemas/ImageDelta' + text: '#/components/schemas/TextDelta' + tool_call: '#/components/schemas/ToolCallDelta' + propertyName: type + oneOf: + - $ref: '#/components/schemas/TextDelta' + - $ref: '#/components/schemas/ImageDelta' + - $ref: '#/components/schemas/ToolCallDelta' + ToolDefinition: + properties: + tool_name: + anyOf: + - $ref: '#/components/schemas/BuiltinTool' + - type: string + title: Tool Name + description: + anyOf: + - type: string + - type: 'null' + title: Description + nullable: true + input_schema: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Input Schema + nullable: true + output_schema: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Output Schema + nullable: true + required: + - tool_name + title: ToolDefinition + type: object + SamplingStrategy: + discriminator: + mapping: + greedy: '#/components/schemas/GreedySamplingStrategy' + top_k: '#/components/schemas/TopKSamplingStrategy' + top_p: '#/components/schemas/TopPSamplingStrategy' + propertyName: type + oneOf: + - $ref: '#/components/schemas/GreedySamplingStrategy' + - $ref: '#/components/schemas/TopPSamplingStrategy' + - $ref: '#/components/schemas/TopKSamplingStrategy' + CompletionMessage: + description: A message containing the model's (assistant) response in a chat conversation. + properties: + role: + const: assistant + default: assistant + title: Role + type: string + content: + anyOf: + - type: string + - discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + - items: + discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + type: array + title: Content + stop_reason: + $ref: '#/components/schemas/StopReason' + tool_calls: + anyOf: + - items: + $ref: '#/components/schemas/ToolCall' + type: array + - type: 'null' + title: Tool Calls + required: + - content + - stop_reason + title: CompletionMessage + type: object + StopReason: + enum: + - end_of_turn + - end_of_message + - out_of_tokens + title: StopReason + type: string + ToolResponseMessage: + description: A message representing the result of a tool invocation. + properties: + role: + const: tool + default: tool + title: Role + type: string + call_id: + title: Call Id + type: string + content: + anyOf: + - type: string + - discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + - items: + discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + type: array + title: Content + required: + - call_id + - content + title: ToolResponseMessage + type: object + UserMessage: + description: A message from the user in a chat conversation. + properties: + role: + const: user + default: user + title: Role + type: string + content: + anyOf: + - type: string + - discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + - items: + discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + type: array + title: Content + context: + anyOf: + - type: string + - discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + - items: + discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + type: array + - type: 'null' + title: Context + nullable: true + required: + - content + title: UserMessage + type: object + Message: + discriminator: + mapping: + assistant: '#/components/schemas/CompletionMessage' + system: '#/components/schemas/SystemMessage' + tool: '#/components/schemas/ToolResponseMessage' + user: '#/components/schemas/UserMessage' + propertyName: role + oneOf: + - $ref: '#/components/schemas/UserMessage' + - $ref: '#/components/schemas/SystemMessage' + - $ref: '#/components/schemas/ToolResponseMessage' + - $ref: '#/components/schemas/CompletionMessage' + GrammarResponseFormat: + description: Configuration for grammar-guided response generation. + properties: + type: + const: grammar + default: grammar + title: Type + type: string + bnf: + additionalProperties: true + title: Bnf + type: object + required: + - bnf + title: GrammarResponseFormat + type: object + JsonSchemaResponseFormat: + description: Configuration for JSON schema-guided response generation. + properties: + type: + const: json_schema + default: json_schema + title: Type + type: string + json_schema: + additionalProperties: true + title: Json Schema + type: object + required: + - json_schema + title: JsonSchemaResponseFormat + type: object + ResponseFormat: + discriminator: + mapping: + grammar: '#/components/schemas/GrammarResponseFormat' + json_schema: '#/components/schemas/JsonSchemaResponseFormat' + propertyName: type + oneOf: + - $ref: '#/components/schemas/JsonSchemaResponseFormat' + - $ref: '#/components/schemas/GrammarResponseFormat' + OpenAIChatCompletionContentPartParam: + discriminator: + mapping: + file: '#/components/schemas/OpenAIFile' + image_url: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + text: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + - $ref: '#/components/schemas/OpenAIFile' + OpenAIAssistantMessageParam: + description: A message containing the model's (assistant) response in an OpenAI-compatible chat completion request. + properties: + role: + const: assistant + default: assistant + title: Role + type: string + content: + anyOf: + - type: string + - items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + - type: 'null' + title: Content + nullable: true + name: + anyOf: + - type: string + - type: 'null' + title: Name + nullable: true + tool_calls: + anyOf: + - items: + $ref: '#/components/schemas/OpenAIChatCompletionToolCall' + type: array + - type: 'null' + title: Tool Calls + nullable: true + title: OpenAIAssistantMessageParam + type: object + OpenAIUserMessageParam: + description: A message from the user in an OpenAI-compatible chat completion request. + properties: + role: + const: user + default: user + title: Role + type: string + content: + anyOf: + - type: string + - items: + discriminator: + mapping: + file: '#/components/schemas/OpenAIFile' + image_url: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + text: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + - $ref: '#/components/schemas/OpenAIFile' + type: array + title: Content + name: + anyOf: + - type: string + - type: 'null' + title: Name + nullable: true + required: + - content + title: OpenAIUserMessageParam + type: object + OpenAIMessageParam: + discriminator: + mapping: + assistant: '#/components/schemas/OpenAIAssistantMessageParam' + developer: '#/components/schemas/OpenAIDeveloperMessageParam' + system: '#/components/schemas/OpenAISystemMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + user: '#/components/schemas/OpenAIUserMessageParam' + propertyName: role + oneOf: + - $ref: '#/components/schemas/OpenAIUserMessageParam' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + OpenAIResponseFormatParam: + discriminator: + mapping: + json_object: '#/components/schemas/OpenAIResponseFormatJSONObject' + json_schema: '#/components/schemas/OpenAIResponseFormatJSONSchema' + text: '#/components/schemas/OpenAIResponseFormatText' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseFormatText' + - $ref: '#/components/schemas/OpenAIResponseFormatJSONSchema' + - $ref: '#/components/schemas/OpenAIResponseFormatJSONObject' + VectorStoreChunkingStrategy: + discriminator: + mapping: + auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' + static: '#/components/schemas/VectorStoreChunkingStrategyStatic' + propertyName: type + oneOf: + - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' + - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + VectorStoreFileStatus: + anyOf: + - const: completed + type: string + - const: in_progress + type: string + - const: cancelled + type: string + - const: failed + type: string + OpenAIResponseInputMessageContent: + discriminator: + mapping: + input_file: '#/components/schemas/OpenAIResponseInputMessageContentFile' + input_image: '#/components/schemas/OpenAIResponseInputMessageContentImage' + input_text: '#/components/schemas/OpenAIResponseInputMessageContentText' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentText' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentImage' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentFile' + OpenAIResponseAnnotations: + discriminator: + mapping: + container_file_citation: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + file_citation: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + file_path: '#/components/schemas/OpenAIResponseAnnotationFilePath' + url_citation: '#/components/schemas/OpenAIResponseAnnotationCitation' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationFilePath' + OpenAIResponseOutputMessageContent: + discriminator: + mapping: + output_text: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + OpenAIResponseMessage: + description: |- + Corresponds to the various Message types in the Responses API. + They are all under one type because the Responses API gives them all + the same "type" value, and there is no way to tell them apart in certain + scenarios. + properties: + content: + anyOf: + - type: string + - items: + discriminator: + mapping: + input_file: '#/components/schemas/OpenAIResponseInputMessageContentFile' + input_image: '#/components/schemas/OpenAIResponseInputMessageContentImage' + input_text: '#/components/schemas/OpenAIResponseInputMessageContentText' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentText' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentImage' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentFile' + type: array + - items: + discriminator: + mapping: + output_text: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + type: array + title: Content + role: + anyOf: + - const: system + type: string + - const: developer + type: string + - const: user + type: string + - const: assistant + type: string + title: Role + type: + const: message + default: message + title: Type + type: string + id: + anyOf: + - type: string + - type: 'null' + title: Id + nullable: true + status: + anyOf: + - type: string + - type: 'null' + title: Status + nullable: true + required: + - content + - role + title: OpenAIResponseMessage + type: object + OpenAIResponseOutput: + discriminator: + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + ApprovalFilter: + description: Filter configuration for MCP tool approval requirements. + properties: + always: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: Always + nullable: true + never: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: Never + nullable: true + title: ApprovalFilter + type: object + OpenAIResponseInputToolMCP: + description: Model Context Protocol (MCP) tool configuration for OpenAI response inputs. + properties: + type: + const: mcp + default: mcp + title: Type + type: string + server_label: + title: Server Label + type: string + server_url: + title: Server Url + type: string + headers: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Headers + nullable: true + require_approval: + anyOf: + - const: always + type: string + - const: never + type: string + - $ref: '#/components/schemas/ApprovalFilter' + default: never + title: Require Approval + allowed_tools: + anyOf: + - items: + type: string + type: array + - $ref: '#/components/schemas/AllowedToolsFilter' + - type: 'null' + title: Allowed Tools + nullable: true + required: + - server_label + - server_url + title: OpenAIResponseInputToolMCP + type: object + OpenAIResponseInputTool: + discriminator: + mapping: + file_search: '#/components/schemas/OpenAIResponseInputToolFileSearch' + function: '#/components/schemas/OpenAIResponseInputToolFunction' + mcp: '#/components/schemas/OpenAIResponseInputToolMCP' + web_search: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_2025_08_26: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_preview: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_preview_2025_03_11: '#/components/schemas/OpenAIResponseInputToolWebSearch' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFileSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFunction' + - $ref: '#/components/schemas/OpenAIResponseInputToolMCP' + OpenAIResponseTool: + discriminator: + mapping: + file_search: '#/components/schemas/OpenAIResponseInputToolFileSearch' + function: '#/components/schemas/OpenAIResponseInputToolFunction' + mcp: '#/components/schemas/OpenAIResponseToolMCP' + web_search: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_2025_08_26: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_preview: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_preview_2025_03_11: '#/components/schemas/OpenAIResponseInputToolWebSearch' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFileSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFunction' + - $ref: '#/components/schemas/OpenAIResponseToolMCP' + OpenAIResponseContentPartOutputText: + description: Text content within a streamed response part. + properties: + type: + const: output_text + default: output_text + title: Type + type: string + text: + title: Text + type: string + annotations: + items: + discriminator: + mapping: + container_file_citation: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + file_citation: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + file_path: '#/components/schemas/OpenAIResponseAnnotationFilePath' + url_citation: '#/components/schemas/OpenAIResponseAnnotationCitation' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationFilePath' + title: Annotations + type: array + logprobs: + anyOf: + - items: + additionalProperties: true + type: object + type: array + - type: 'null' + title: Logprobs + nullable: true + required: + - text + title: OpenAIResponseContentPartOutputText + type: object + OpenAIResponseContentPartReasoningText: + description: Reasoning text emitted as part of a streamed response. + properties: + type: + const: reasoning_text + default: reasoning_text + title: Type + type: string + text: + title: Text + type: string + required: + - text + title: OpenAIResponseContentPartReasoningText + type: object + OpenAIResponseContentPart: + discriminator: + mapping: + output_text: '#/components/schemas/OpenAIResponseContentPartOutputText' + reasoning_text: '#/components/schemas/OpenAIResponseContentPartReasoningText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseContentPartOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + - $ref: '#/components/schemas/OpenAIResponseContentPartReasoningText' + OpenAIResponseContentPartReasoningSummary: + description: Reasoning summary part in a streamed response. + properties: + type: + const: summary_text + default: summary_text + title: Type + type: string + text: + title: Text + type: string + required: + - text + title: OpenAIResponseContentPartReasoningSummary + type: object + OpenAIResponseObjectStreamResponseCompleted: + description: Streaming event indicating a response has been completed. + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + type: + const: response.completed + default: response.completed + title: Type + type: string + required: + - response + title: OpenAIResponseObjectStreamResponseCompleted + type: object + OpenAIResponseObjectStreamResponseContentPartAdded: + description: Streaming event for when a new content part is added to a response item. + properties: + content_index: + title: Content Index + type: integer + response_id: + title: Response Id + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + part: + discriminator: + mapping: + output_text: '#/components/schemas/OpenAIResponseContentPartOutputText' + reasoning_text: '#/components/schemas/OpenAIResponseContentPartReasoningText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseContentPartOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + - $ref: '#/components/schemas/OpenAIResponseContentPartReasoningText' + title: Part + sequence_number: + title: Sequence Number + type: integer + type: + const: response.content_part.added + default: response.content_part.added + title: Type + type: string + required: + - content_index + - response_id + - item_id + - output_index + - part + - sequence_number + title: OpenAIResponseObjectStreamResponseContentPartAdded + type: object + OpenAIResponseObjectStreamResponseContentPartDone: + description: Streaming event for when a content part is completed. + properties: + content_index: + title: Content Index + type: integer + response_id: + title: Response Id + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + part: + discriminator: + mapping: + output_text: '#/components/schemas/OpenAIResponseContentPartOutputText' + reasoning_text: '#/components/schemas/OpenAIResponseContentPartReasoningText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseContentPartOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + - $ref: '#/components/schemas/OpenAIResponseContentPartReasoningText' + title: Part + sequence_number: + title: Sequence Number + type: integer + type: + const: response.content_part.done + default: response.content_part.done + title: Type + type: string + required: + - content_index + - response_id + - item_id + - output_index + - part + - sequence_number + title: OpenAIResponseObjectStreamResponseContentPartDone + type: object + OpenAIResponseObjectStreamResponseCreated: + description: Streaming event indicating a new response has been created. + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + type: + const: response.created + default: response.created + title: Type + type: string + required: + - response + title: OpenAIResponseObjectStreamResponseCreated + type: object + OpenAIResponseObjectStreamResponseFailed: + description: Streaming event emitted when a response fails. + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + sequence_number: + title: Sequence Number + type: integer + type: + const: response.failed + default: response.failed + title: Type + type: string + required: + - response + - sequence_number + title: OpenAIResponseObjectStreamResponseFailed + type: object + OpenAIResponseObjectStreamResponseFileSearchCallCompleted: + description: Streaming event for completed file search calls. + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.file_search_call.completed + default: response.file_search_call.completed + title: Type + type: string + required: + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseFileSearchCallCompleted + type: object + OpenAIResponseObjectStreamResponseFileSearchCallInProgress: + description: Streaming event for file search calls in progress. + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.file_search_call.in_progress + default: response.file_search_call.in_progress + title: Type + type: string + required: + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseFileSearchCallInProgress + type: object + OpenAIResponseObjectStreamResponseFileSearchCallSearching: + description: Streaming event for file search currently searching. + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.file_search_call.searching + default: response.file_search_call.searching + title: Type + type: string + required: + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseFileSearchCallSearching + type: object + OpenAIResponseObjectStreamResponseFunctionCallArgumentsDelta: + description: Streaming event for incremental function call argument updates. + properties: + delta: + title: Delta + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.function_call_arguments.delta + default: response.function_call_arguments.delta + title: Type + type: string + required: + - delta + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseFunctionCallArgumentsDelta + type: object + OpenAIResponseObjectStreamResponseFunctionCallArgumentsDone: + description: Streaming event for when function call arguments are completed. + properties: + arguments: + title: Arguments + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.function_call_arguments.done + default: response.function_call_arguments.done + title: Type + type: string + required: + - arguments + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseFunctionCallArgumentsDone + type: object + OpenAIResponseObjectStreamResponseInProgress: + description: Streaming event indicating the response remains in progress. + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + sequence_number: + title: Sequence Number + type: integer + type: + const: response.in_progress + default: response.in_progress + title: Type + type: string + required: + - response + - sequence_number + title: OpenAIResponseObjectStreamResponseInProgress + type: object + OpenAIResponseObjectStreamResponseIncomplete: + description: Streaming event emitted when a response ends in an incomplete state. + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + sequence_number: + title: Sequence Number + type: integer + type: + const: response.incomplete + default: response.incomplete + title: Type + type: string + required: + - response + - sequence_number + title: OpenAIResponseObjectStreamResponseIncomplete + type: object + OpenAIResponseObjectStreamResponseMcpCallArgumentsDelta: + properties: + delta: + title: Delta + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.mcp_call.arguments.delta + default: response.mcp_call.arguments.delta + title: Type + type: string + required: + - delta + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseMcpCallArgumentsDelta + type: object + OpenAIResponseObjectStreamResponseMcpCallArgumentsDone: + properties: + arguments: + title: Arguments + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.mcp_call.arguments.done + default: response.mcp_call.arguments.done + title: Type + type: string + required: + - arguments + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseMcpCallArgumentsDone + type: object + OpenAIResponseObjectStreamResponseMcpCallCompleted: + description: Streaming event for completed MCP calls. + properties: + sequence_number: + title: Sequence Number + type: integer + type: + const: response.mcp_call.completed + default: response.mcp_call.completed + title: Type + type: string + required: + - sequence_number + title: OpenAIResponseObjectStreamResponseMcpCallCompleted + type: object + OpenAIResponseObjectStreamResponseMcpCallFailed: + description: Streaming event for failed MCP calls. + properties: + sequence_number: + title: Sequence Number + type: integer + type: + const: response.mcp_call.failed + default: response.mcp_call.failed + title: Type + type: string + required: + - sequence_number + title: OpenAIResponseObjectStreamResponseMcpCallFailed + type: object + OpenAIResponseObjectStreamResponseMcpCallInProgress: + description: Streaming event for MCP calls in progress. + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.mcp_call.in_progress + default: response.mcp_call.in_progress + title: Type + type: string + required: + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseMcpCallInProgress + type: object + OpenAIResponseObjectStreamResponseMcpListToolsCompleted: + properties: + sequence_number: + title: Sequence Number + type: integer + type: + const: response.mcp_list_tools.completed + default: response.mcp_list_tools.completed + title: Type + type: string + required: + - sequence_number + title: OpenAIResponseObjectStreamResponseMcpListToolsCompleted + type: object + OpenAIResponseObjectStreamResponseMcpListToolsFailed: + properties: + sequence_number: + title: Sequence Number + type: integer + type: + const: response.mcp_list_tools.failed + default: response.mcp_list_tools.failed + title: Type + type: string + required: + - sequence_number + title: OpenAIResponseObjectStreamResponseMcpListToolsFailed + type: object + OpenAIResponseObjectStreamResponseMcpListToolsInProgress: + properties: + sequence_number: + title: Sequence Number + type: integer + type: + const: response.mcp_list_tools.in_progress + default: response.mcp_list_tools.in_progress + title: Type + type: string + required: + - sequence_number + title: OpenAIResponseObjectStreamResponseMcpListToolsInProgress + type: object + OpenAIResponseObjectStreamResponseOutputItemAdded: + description: Streaming event for when a new output item is added to the response. + properties: + response_id: + title: Response Id + type: string + item: + discriminator: + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + title: Item + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.output_item.added + default: response.output_item.added + title: Type + type: string + required: + - response_id + - item + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseOutputItemAdded + type: object + OpenAIResponseObjectStreamResponseOutputItemDone: + description: Streaming event for when an output item is completed. + properties: + response_id: + title: Response Id + type: string + item: + discriminator: + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + title: Item + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.output_item.done + default: response.output_item.done + title: Type + type: string + required: + - response_id + - item + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseOutputItemDone + type: object + OpenAIResponseObjectStreamResponseOutputTextAnnotationAdded: + description: Streaming event for when an annotation is added to output text. + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + content_index: + title: Content Index + type: integer + annotation_index: + title: Annotation Index + type: integer + annotation: + discriminator: + mapping: + container_file_citation: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + file_citation: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + file_path: '#/components/schemas/OpenAIResponseAnnotationFilePath' + url_citation: '#/components/schemas/OpenAIResponseAnnotationCitation' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationFilePath' + title: Annotation + sequence_number: + title: Sequence Number + type: integer + type: + const: response.output_text.annotation.added + default: response.output_text.annotation.added + title: Type + type: string + required: + - item_id + - output_index + - content_index + - annotation_index + - annotation + - sequence_number + title: OpenAIResponseObjectStreamResponseOutputTextAnnotationAdded + type: object + OpenAIResponseObjectStreamResponseOutputTextDelta: + description: Streaming event for incremental text content updates. + properties: + content_index: + title: Content Index + type: integer + delta: + title: Delta + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.output_text.delta + default: response.output_text.delta + title: Type + type: string + required: + - content_index + - delta + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseOutputTextDelta + type: object + OpenAIResponseObjectStreamResponseOutputTextDone: + description: Streaming event for when text output is completed. + properties: + content_index: + title: Content Index + type: integer + text: + title: Text + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.output_text.done + default: response.output_text.done + title: Type + type: string + required: + - content_index + - text + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseOutputTextDone + type: object + OpenAIResponseObjectStreamResponseReasoningSummaryPartAdded: + description: Streaming event for when a new reasoning summary part is added. + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + part: + $ref: '#/components/schemas/OpenAIResponseContentPartReasoningSummary' + sequence_number: + title: Sequence Number + type: integer + summary_index: + title: Summary Index + type: integer + type: + const: response.reasoning_summary_part.added + default: response.reasoning_summary_part.added + title: Type + type: string + required: + - item_id + - output_index + - part + - sequence_number + - summary_index + title: OpenAIResponseObjectStreamResponseReasoningSummaryPartAdded + type: object + OpenAIResponseObjectStreamResponseReasoningSummaryPartDone: + description: Streaming event for when a reasoning summary part is completed. + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + part: + $ref: '#/components/schemas/OpenAIResponseContentPartReasoningSummary' + sequence_number: + title: Sequence Number + type: integer + summary_index: + title: Summary Index + type: integer + type: + const: response.reasoning_summary_part.done + default: response.reasoning_summary_part.done + title: Type + type: string + required: + - item_id + - output_index + - part + - sequence_number + - summary_index + title: OpenAIResponseObjectStreamResponseReasoningSummaryPartDone + type: object + OpenAIResponseObjectStreamResponseReasoningSummaryTextDelta: + description: Streaming event for incremental reasoning summary text updates. + properties: + delta: + title: Delta + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + summary_index: + title: Summary Index + type: integer + type: + const: response.reasoning_summary_text.delta + default: response.reasoning_summary_text.delta + title: Type + type: string + required: + - delta + - item_id + - output_index + - sequence_number + - summary_index + title: OpenAIResponseObjectStreamResponseReasoningSummaryTextDelta + type: object + OpenAIResponseObjectStreamResponseReasoningSummaryTextDone: + description: Streaming event for when reasoning summary text is completed. + properties: + text: + title: Text + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + summary_index: + title: Summary Index + type: integer + type: + const: response.reasoning_summary_text.done + default: response.reasoning_summary_text.done + title: Type + type: string + required: + - text + - item_id + - output_index + - sequence_number + - summary_index + title: OpenAIResponseObjectStreamResponseReasoningSummaryTextDone + type: object + OpenAIResponseObjectStreamResponseReasoningTextDelta: + description: Streaming event for incremental reasoning text updates. + properties: + content_index: + title: Content Index + type: integer + delta: + title: Delta + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.reasoning_text.delta + default: response.reasoning_text.delta + title: Type + type: string + required: + - content_index + - delta + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseReasoningTextDelta + type: object + OpenAIResponseObjectStreamResponseReasoningTextDone: + description: Streaming event for when reasoning text is completed. + properties: + content_index: + title: Content Index + type: integer + text: + title: Text + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.reasoning_text.done + default: response.reasoning_text.done + title: Type + type: string + required: + - content_index + - text + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseReasoningTextDone + type: object + OpenAIResponseObjectStreamResponseRefusalDelta: + description: Streaming event for incremental refusal text updates. + properties: + content_index: + title: Content Index + type: integer + delta: + title: Delta + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.refusal.delta + default: response.refusal.delta + title: Type + type: string + required: + - content_index + - delta + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseRefusalDelta + type: object + OpenAIResponseObjectStreamResponseRefusalDone: + description: Streaming event for when refusal text is completed. + properties: + content_index: + title: Content Index + type: integer + refusal: + title: Refusal + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.refusal.done + default: response.refusal.done + title: Type + type: string + required: + - content_index + - refusal + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseRefusalDone + type: object + OpenAIResponseObjectStreamResponseWebSearchCallCompleted: + description: Streaming event for completed web search calls. + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.web_search_call.completed + default: response.web_search_call.completed + title: Type + type: string + required: + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseWebSearchCallCompleted + type: object + OpenAIResponseObjectStreamResponseWebSearchCallInProgress: + description: Streaming event for web search calls in progress. + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.web_search_call.in_progress + default: response.web_search_call.in_progress + title: Type + type: string + required: + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseWebSearchCallInProgress + type: object + OpenAIResponseObjectStreamResponseWebSearchCallSearching: + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.web_search_call.searching + default: response.web_search_call.searching + title: Type + type: string + required: + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseWebSearchCallSearching + type: object + OpenAIResponseObjectStream: + discriminator: + mapping: + response.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseCompleted' + response.content_part.added: '#/components/schemas/OpenAIResponseObjectStreamResponseContentPartAdded' + response.content_part.done: '#/components/schemas/OpenAIResponseObjectStreamResponseContentPartDone' + response.created: '#/components/schemas/OpenAIResponseObjectStreamResponseCreated' + response.failed: '#/components/schemas/OpenAIResponseObjectStreamResponseFailed' + response.file_search_call.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallCompleted' + response.file_search_call.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallInProgress' + response.file_search_call.searching: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallSearching' + response.function_call_arguments.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseFunctionCallArgumentsDelta' + response.function_call_arguments.done: '#/components/schemas/OpenAIResponseObjectStreamResponseFunctionCallArgumentsDone' + response.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseInProgress' + response.incomplete: '#/components/schemas/OpenAIResponseObjectStreamResponseIncomplete' + response.mcp_call.arguments.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallArgumentsDelta' + response.mcp_call.arguments.done: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallArgumentsDone' + response.mcp_call.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallCompleted' + response.mcp_call.failed: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallFailed' + response.mcp_call.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallInProgress' + response.mcp_list_tools.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsCompleted' + response.mcp_list_tools.failed: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsFailed' + response.mcp_list_tools.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsInProgress' + response.output_item.added: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputItemAdded' + response.output_item.done: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputItemDone' + response.output_text.annotation.added: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextAnnotationAdded' + response.output_text.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextDelta' + response.output_text.done: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextDone' + response.reasoning_summary_part.added: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryPartAdded' + response.reasoning_summary_part.done: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryPartDone' + response.reasoning_summary_text.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryTextDelta' + response.reasoning_summary_text.done: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryTextDone' + response.reasoning_text.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningTextDelta' + response.reasoning_text.done: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningTextDone' + response.refusal.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseRefusalDelta' + response.refusal.done: '#/components/schemas/OpenAIResponseObjectStreamResponseRefusalDone' + response.web_search_call.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallCompleted' + response.web_search_call.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallInProgress' + response.web_search_call.searching: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallSearching' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseCreated' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputItemAdded' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputItemDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFunctionCallArgumentsDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFunctionCallArgumentsDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallSearching' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallCompleted' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsFailed' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsCompleted' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallArgumentsDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallArgumentsDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallFailed' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallCompleted' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseContentPartAdded' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseContentPartDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningTextDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningTextDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryPartAdded' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryPartDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryTextDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryTextDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseRefusalDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseRefusalDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextAnnotationAdded' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallSearching' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallCompleted' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseIncomplete' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFailed' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseCompleted' + OpenAIResponseInput: + anyOf: + - discriminator: + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + propertyName: type + oneOf: - $ref: '#/components/schemas/OpenAIResponseMessage' - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' - - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' - - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' - - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseMessage' + ConversationItem: discriminator: - propertyName: type mapping: - message: '#/components/schemas/OpenAIResponseMessage' - web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' function_call_output: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' @@ -5964,193 +13410,19 @@ components: mapping: message: '#/components/schemas/OpenAIResponseMessage' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' - function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' - mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' - mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' - mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' - OpenAIResponsePrompt: - type: object - properties: - id: - type: string - description: Unique identifier of the prompt template - variables: - type: object - additionalProperties: - $ref: '#/components/schemas/OpenAIResponseInputMessageContent' - description: >- - Dictionary of variable names to OpenAIResponseInputMessageContent structure - for template substitution. The substitution values can either be strings, - or other Response input types like images or files. - version: - type: string - description: >- - Version number of the prompt to use (defaults to latest if not specified) - additionalProperties: false - required: - - id - title: OpenAIResponsePrompt - description: >- - OpenAI compatible Prompt object that is used in OpenAI responses. - OpenAIResponseText: - type: object - properties: - format: - type: object - properties: - type: - oneOf: - - type: string - const: text - - type: string - const: json_schema - - type: string - const: json_object - description: >- - Must be "text", "json_schema", or "json_object" to identify the format - type - name: - type: string - description: >- - The name of the response format. Only used for json_schema. - schema: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: >- - The JSON schema the response should conform to. In a Python SDK, this - is often a `pydantic` model. Only used for json_schema. - description: - type: string - description: >- - (Optional) A description of the response format. Only used for json_schema. - strict: - type: boolean - description: >- - (Optional) Whether to strictly enforce the JSON schema. If true, the - response must match the schema exactly. Only used for json_schema. - additionalProperties: false - required: - - type - description: >- - (Optional) Text format configuration specifying output format requirements - additionalProperties: false - title: OpenAIResponseText - description: >- - Text response configuration for OpenAI responses. - OpenAIResponseTool: - oneOf: - - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch' - - $ref: '#/components/schemas/OpenAIResponseInputToolFileSearch' - - $ref: '#/components/schemas/OpenAIResponseInputToolFunction' - - $ref: '#/components/schemas/OpenAIResponseToolMCP' - discriminator: propertyName: type - mapping: - web_search: '#/components/schemas/OpenAIResponseInputToolWebSearch' - file_search: '#/components/schemas/OpenAIResponseInputToolFileSearch' - function: '#/components/schemas/OpenAIResponseInputToolFunction' - mcp: '#/components/schemas/OpenAIResponseToolMCP' - OpenAIResponseToolMCP: - type: object - properties: - type: - type: string - const: mcp - default: mcp - description: Tool type identifier, always "mcp" - server_label: - type: string - description: Label to identify this MCP server - allowed_tools: - oneOf: - - type: array - items: - type: string - - type: object - properties: - tool_names: - type: array - items: - type: string - description: >- - (Optional) List of specific tool names that are allowed - additionalProperties: false - title: AllowedToolsFilter - description: >- - Filter configuration for restricting which MCP tools can be used. - description: >- - (Optional) Restriction on which tools can be used from this server - additionalProperties: false - required: - - type - - server_label - title: OpenAIResponseToolMCP - description: >- - Model Context Protocol (MCP) tool configuration for OpenAI response object. - OpenAIResponseUsage: - type: object - properties: - input_tokens: - type: integer - description: Number of tokens in the input - output_tokens: - type: integer - description: Number of tokens in the output - total_tokens: - type: integer - description: Total tokens used (input + output) - input_tokens_details: - type: object - properties: - cached_tokens: - type: integer - description: Number of tokens retrieved from cache - additionalProperties: false - description: Detailed breakdown of input token usage - output_tokens_details: - type: object - properties: - reasoning_tokens: - type: integer - description: >- - Number of tokens used for reasoning (o1/o3 models) - additionalProperties: false - description: Detailed breakdown of output token usage - additionalProperties: false - required: - - input_tokens - - output_tokens - - total_tokens - title: OpenAIResponseUsage - description: Usage information for OpenAI response. - ResponseGuardrailSpec: - type: object - properties: - type: - type: string - description: The type/identifier of the guardrail. - additionalProperties: false - required: - - type - title: ResponseGuardrailSpec - description: >- - Specification for a guardrail to apply during response generation. - OpenAIResponseInputTool: oneOf: - - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch' - - $ref: '#/components/schemas/OpenAIResponseInputToolFileSearch' - - $ref: '#/components/schemas/OpenAIResponseInputToolFunction' - - $ref: '#/components/schemas/OpenAIResponseInputToolMCP' + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + DataSource: discriminator: - propertyName: type mapping: web_search: '#/components/schemas/OpenAIResponseInputToolWebSearch' file_search: '#/components/schemas/OpenAIResponseInputToolFileSearch' @@ -8175,176 +15447,677 @@ components: title: ListScoringFunctionsResponse ScoreRequest: type: object + SpanStartPayload: + description: Payload for a span start event. properties: - input_rows: - type: array - items: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: The rows to score. - scoring_functions: - type: object - additionalProperties: - oneOf: - - $ref: '#/components/schemas/ScoringFnParams' - - type: 'null' - description: >- - The scoring functions to use for the scoring. - additionalProperties: false - required: - - input_rows - - scoring_functions - title: ScoreRequest - ScoreResponse: - type: object - properties: - results: - type: object - additionalProperties: - $ref: '#/components/schemas/ScoringResult' - description: >- - A map of scoring function name to ScoringResult. - additionalProperties: false - required: - - results - title: ScoreResponse - description: The response from scoring. - ScoringResult: - type: object - properties: - score_rows: - type: array - items: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: >- - The scoring result for each row. Each row is a map of column name to value. - aggregated_results: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: Map of metric name to aggregated value - additionalProperties: false - required: - - score_rows - - aggregated_results - title: ScoringResult - description: A scoring result for a single row. - ScoreBatchRequest: - type: object - properties: - dataset_id: - type: string - description: The ID of the dataset to score. - scoring_functions: - type: object - additionalProperties: - oneOf: - - $ref: '#/components/schemas/ScoringFnParams' - - type: 'null' - description: >- - The scoring functions to use for the scoring. - save_results_dataset: - type: boolean - description: >- - Whether to save the results to a dataset. - additionalProperties: false - required: - - dataset_id - - scoring_functions - - save_results_dataset - title: ScoreBatchRequest - ScoreBatchResponse: - type: object - properties: - dataset_id: - type: string - description: >- - (Optional) The identifier of the dataset that was scored - results: - type: object - additionalProperties: - $ref: '#/components/schemas/ScoringResult' - description: >- - A map of scoring function name to ScoringResult - additionalProperties: false - required: - - results - title: ScoreBatchResponse - description: >- - Response from batch scoring operations on datasets. - Shield: - type: object - properties: - identifier: - type: string - provider_resource_id: - type: string - provider_id: - type: string type: + const: span_start + default: span_start + title: Type type: string - enum: - - model - - shield - - vector_store - - dataset - - scoring_function - - benchmark - - tool - - tool_group - - prompt - const: shield - default: shield - description: The resource type, always shield - params: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: >- - (Optional) Configuration parameters for the shield - additionalProperties: false + name: + title: Name + type: string + parent_span_id: + anyOf: + - type: string + - type: 'null' + title: Parent Span Id + nullable: true required: - - identifier - - provider_id - - type - title: Shield - description: >- - A safety shield resource that can be used to check content. - ListShieldsResponse: + - name + title: SpanStartPayload type: object + SpanStatus: + description: The status of a span indicating whether it completed successfully or with an error. + enum: + - ok + - error + title: SpanStatus + type: string + StructuredLogPayload: + discriminator: + mapping: + span_end: '#/components/schemas/SpanEndPayload' + span_start: '#/components/schemas/SpanStartPayload' + propertyName: type + oneOf: + - $ref: '#/components/schemas/SpanStartPayload' + - $ref: '#/components/schemas/SpanEndPayload' + LogSeverity: + description: The severity level of a log message. + enum: + - verbose + - debug + - info + - warn + - error + - critical + title: LogSeverity + type: string + MetricEvent: + description: A metric event containing a measured value. + properties: + trace_id: + title: Trace Id + type: string + span_id: + title: Span Id + type: string + timestamp: + format: date-time + title: Timestamp + type: string + attributes: + anyOf: + - additionalProperties: + anyOf: + - type: string + - type: integer + - type: number + - type: boolean + - type: 'null' + type: object + - type: 'null' + title: Attributes + type: + const: metric + default: metric + title: Type + type: string + metric: + title: Metric + type: string + value: + anyOf: + - type: integer + - type: number + title: Value + unit: + title: Unit + type: string + required: + - trace_id + - span_id + - timestamp + - metric + - value + - unit + title: MetricEvent + type: object + StructuredLogEvent: + description: A structured log event containing typed payload data. + properties: + trace_id: + title: Trace Id + type: string + span_id: + title: Span Id + type: string + timestamp: + format: date-time + title: Timestamp + type: string + attributes: + anyOf: + - additionalProperties: + anyOf: + - type: string + - type: integer + - type: number + - type: boolean + - type: 'null' + type: object + - type: 'null' + title: Attributes + type: + const: structured_log + default: structured_log + title: Type + type: string + payload: + discriminator: + mapping: + span_end: '#/components/schemas/SpanEndPayload' + span_start: '#/components/schemas/SpanStartPayload' + propertyName: type + oneOf: + - $ref: '#/components/schemas/SpanStartPayload' + - $ref: '#/components/schemas/SpanEndPayload' + title: Payload + required: + - trace_id + - span_id + - timestamp + - payload + title: StructuredLogEvent + type: object + UnstructuredLogEvent: + description: An unstructured log event containing a simple text message. + properties: + trace_id: + title: Trace Id + type: string + span_id: + title: Span Id + type: string + timestamp: + format: date-time + title: Timestamp + type: string + attributes: + anyOf: + - additionalProperties: + anyOf: + - type: string + - type: integer + - type: number + - type: boolean + - type: 'null' + type: object + - type: 'null' + title: Attributes + type: + const: unstructured_log + default: unstructured_log + title: Type + type: string + message: + title: Message + type: string + severity: + $ref: '#/components/schemas/LogSeverity' + required: + - trace_id + - span_id + - timestamp + - message + - severity + title: UnstructuredLogEvent + type: object + Event: + discriminator: + mapping: + metric: '#/components/schemas/MetricEvent' + structured_log: '#/components/schemas/StructuredLogEvent' + unstructured_log: '#/components/schemas/UnstructuredLogEvent' + propertyName: type + oneOf: + - $ref: '#/components/schemas/UnstructuredLogEvent' + - $ref: '#/components/schemas/MetricEvent' + - $ref: '#/components/schemas/StructuredLogEvent' + ListOpenAIResponseInputItem: + description: List container for OpenAI response input items. properties: data: - type: array items: - $ref: '#/components/schemas/Shield' - additionalProperties: false + anyOf: + - discriminator: + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseMessage' + title: Data + type: array + object: + const: list + default: list + title: Object + type: string + required: + - data + title: ListOpenAIResponseInputItem + type: object + OpenAIResponseObjectWithInput: + description: OpenAI response object extended with input context information. + properties: + created_at: + title: Created At + type: integer + error: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseError' + - type: 'null' + nullable: true + id: + title: Id + type: string + model: + title: Model + type: string + object: + const: response + default: response + title: Object + type: string + output: + items: + discriminator: + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + title: Output + type: array + parallel_tool_calls: + default: false + title: Parallel Tool Calls + type: boolean + previous_response_id: + anyOf: + - type: string + - type: 'null' + title: Previous Response Id + nullable: true + prompt: + anyOf: + - $ref: '#/components/schemas/OpenAIResponsePrompt' + - type: 'null' + nullable: true + status: + title: Status + type: string + temperature: + anyOf: + - type: number + - type: 'null' + title: Temperature + nullable: true + text: + $ref: '#/components/schemas/OpenAIResponseText' + default: + format: + type: text + top_p: + anyOf: + - type: number + - type: 'null' + title: Top P + nullable: true + tools: + anyOf: + - items: + discriminator: + mapping: + file_search: '#/components/schemas/OpenAIResponseInputToolFileSearch' + function: '#/components/schemas/OpenAIResponseInputToolFunction' + mcp: '#/components/schemas/OpenAIResponseToolMCP' + web_search: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_2025_08_26: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_preview: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_preview_2025_03_11: '#/components/schemas/OpenAIResponseInputToolWebSearch' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFileSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFunction' + - $ref: '#/components/schemas/OpenAIResponseToolMCP' + type: array + - type: 'null' + title: Tools + nullable: true + truncation: + anyOf: + - type: string + - type: 'null' + title: Truncation + nullable: true + usage: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseUsage' + - type: 'null' + nullable: true + instructions: + anyOf: + - type: string + - type: 'null' + title: Instructions + nullable: true + input: + items: + anyOf: + - discriminator: + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseMessage' + title: Input + type: array + required: + - created_at + - id + - model + - output + - status + - input + title: OpenAIResponseObjectWithInput + type: object + ListOpenAIResponseObject: + description: Paginated list of OpenAI response objects with navigation metadata. + properties: + data: + items: + $ref: '#/components/schemas/OpenAIResponseObjectWithInput' + title: Data + type: array + has_more: + title: Has More + type: boolean + first_id: + title: First Id + type: string + last_id: + title: Last Id + type: string + object: + const: list + default: list + title: Object + type: string + required: + - data + - has_more + - first_id + - last_id + title: ListOpenAIResponseObject + type: object + ResponseGuardrailSpec: + description: Specification for a guardrail to apply during response generation. + properties: + type: + title: Type + type: string + required: + - type + title: ResponseGuardrailSpec + type: object + ListBatchesResponse: + description: Response containing a list of batch objects. + properties: + object: + const: list + default: list + title: Object + type: string + data: + description: List of batch objects + items: + $ref: '#/components/schemas/Batch' + title: Data + type: array + first_id: + anyOf: + - type: string + - type: 'null' + description: ID of the first batch in the list + title: First Id + nullable: true + last_id: + anyOf: + - type: string + - type: 'null' + description: ID of the last batch in the list + title: Last Id + nullable: true + has_more: + default: false + description: Whether there are more batches available + title: Has More + type: boolean + required: + - data + title: ListBatchesResponse + type: object + MetricInResponse: + description: A metric value included in API responses. + properties: + metric: + title: Metric + type: string + value: + anyOf: + - type: integer + - type: number + title: Value + unit: + anyOf: + - type: string + - type: 'null' + title: Unit + nullable: true + required: + - metric + - value + title: MetricInResponse + type: object + PaginatedResponse: + description: A generic paginated response that follows a simple format. + properties: + data: + items: + additionalProperties: true + type: object + title: Data + type: array + has_more: + title: Has More + type: boolean + url: + anyOf: + - type: string + - type: 'null' + title: Url + nullable: true + required: + - data + - has_more + title: PaginatedResponse + type: object + PostTrainingMetric: + description: Training metrics captured during post-training jobs. + properties: + epoch: + title: Epoch + type: integer + train_loss: + title: Train Loss + type: number + validation_loss: + title: Validation Loss + type: number + perplexity: + title: Perplexity + type: number + required: + - epoch + - train_loss + - validation_loss + - perplexity + title: PostTrainingMetric + type: object + Checkpoint: + description: Checkpoint created during training runs. + properties: + identifier: + title: Identifier + type: string + created_at: + format: date-time + title: Created At + type: string + epoch: + title: Epoch + type: integer + post_training_job_id: + title: Post Training Job Id + type: string + path: + title: Path + type: string + training_metrics: + anyOf: + - $ref: '#/components/schemas/PostTrainingMetric' + - type: 'null' + nullable: true + required: + - identifier + - created_at + - epoch + - post_training_job_id + - path + title: Checkpoint + type: object + DialogType: + description: Parameter type for dialog data with semantic output labels. + properties: + type: + const: dialog + default: dialog + title: Type + type: string + title: DialogType + type: object + ConversationItemCreateRequest: + description: Request body for creating conversation items. + properties: + items: + description: Items to include in the conversation context. You may add up to 20 items at a time. + items: + discriminator: + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + function_call_output: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_approval_response: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + maxItems: 20 + title: Items + type: array + required: + - items + title: ConversationItemCreateRequest + type: object + ConversationMessage: + description: OpenAI-compatible message item for conversations. + properties: + id: + description: unique identifier for this message + title: Id + type: string + content: + description: message content + items: + additionalProperties: true + type: object + title: Content + type: array + role: + description: message role + title: Role + type: string + status: + description: message status + title: Status + type: string + type: + const: message + default: message + title: Type + type: string + object: + const: message + default: message + title: Object + type: string + required: + - id + - content + - role + - status + title: ConversationMessage + type: object + ListOpenAIFileResponse: + description: Response for listing files in OpenAI Files API. + properties: + data: + items: + $ref: '#/components/schemas/OpenAIFileObject' + title: Data + type: array + has_more: + title: Has More + type: boolean + first_id: + title: First Id + type: string + last_id: + title: Last Id + type: string + object: + const: list + default: list + title: Object + type: string required: - data title: ListShieldsResponse @@ -8373,236 +16146,799 @@ components: title: InvokeToolRequest ImageContentItem: type: object + Bf16QuantizationConfig: + description: Configuration for BFloat16 precision (typically no quantization). properties: type: + const: bf16 + default: bf16 + title: Type type: string - const: image - default: image - description: >- - Discriminator type of the content item. Always "image" - image: - type: object - properties: - url: - $ref: '#/components/schemas/URL' - description: >- - A URL of the image or data URL in the format of data:image/{type};base64,{data}. - Note that URL could have length limits. - data: - type: string - contentEncoding: base64 - description: base64 encoded image data as string - additionalProperties: false - description: >- - Image as a base64 encoded string or an URL - additionalProperties: false - required: - - type - - image - title: ImageContentItem - description: A image content item - InterleavedContent: - oneOf: - - type: string - - $ref: '#/components/schemas/InterleavedContentItem' - - type: array + title: Bf16QuantizationConfig + type: object + LogProbConfig: + description: '' + properties: + top_k: + anyOf: + - type: integer + - type: 'null' + default: 0 + title: Top K + title: LogProbConfig + type: object + SystemMessageBehavior: + description: Config for how to override the default system prompt. + enum: + - append + - replace + title: SystemMessageBehavior + type: string + ToolChoice: + description: Whether tool use is required or automatic. This is a hint to the model which may not be followed. It depends on the Instruction Following capabilities of the model. + enum: + - auto + - required + - none + title: ToolChoice + type: string + ToolConfig: + description: Configuration for tool use. + properties: + tool_choice: + anyOf: + - $ref: '#/components/schemas/ToolChoice' + - type: string + - type: 'null' + default: auto + title: Tool Choice + tool_prompt_format: + anyOf: + - $ref: '#/components/schemas/ToolPromptFormat' + - type: 'null' + nullable: true + system_message_behavior: + anyOf: + - $ref: '#/components/schemas/SystemMessageBehavior' + - type: 'null' + default: append + title: ToolConfig + type: object + ToolPromptFormat: + description: Prompt format for calling custom / zero shot tools. + enum: + - json + - function_tag + - python_list + title: ToolPromptFormat + type: string + ChatCompletionRequest: + properties: + model: + title: Model + type: string + messages: items: - $ref: '#/components/schemas/InterleavedContentItem' - InterleavedContentItem: - oneOf: - - $ref: '#/components/schemas/ImageContentItem' - - $ref: '#/components/schemas/TextContentItem' - discriminator: - propertyName: type - mapping: - image: '#/components/schemas/ImageContentItem' - text: '#/components/schemas/TextContentItem' - TextContentItem: + discriminator: + mapping: + assistant: '#/components/schemas/CompletionMessage' + system: '#/components/schemas/SystemMessage' + tool: '#/components/schemas/ToolResponseMessage' + user: '#/components/schemas/UserMessage' + propertyName: role + oneOf: + - $ref: '#/components/schemas/UserMessage' + - $ref: '#/components/schemas/SystemMessage' + - $ref: '#/components/schemas/ToolResponseMessage' + - $ref: '#/components/schemas/CompletionMessage' + title: Messages + type: array + sampling_params: + anyOf: + - $ref: '#/components/schemas/SamplingParams' + - type: 'null' + tools: + anyOf: + - items: + $ref: '#/components/schemas/ToolDefinition' + type: array + - type: 'null' + title: Tools + tool_config: + anyOf: + - $ref: '#/components/schemas/ToolConfig' + - type: 'null' + response_format: + anyOf: + - discriminator: + mapping: + grammar: '#/components/schemas/GrammarResponseFormat' + json_schema: '#/components/schemas/JsonSchemaResponseFormat' + propertyName: type + oneOf: + - $ref: '#/components/schemas/JsonSchemaResponseFormat' + - $ref: '#/components/schemas/GrammarResponseFormat' + - type: 'null' + title: Response Format + nullable: true + stream: + anyOf: + - type: boolean + - type: 'null' + default: false + title: Stream + logprobs: + anyOf: + - $ref: '#/components/schemas/LogProbConfig' + - type: 'null' + nullable: true + required: + - model + - messages + title: ChatCompletionRequest type: object + TokenLogProbs: + description: Log probabilities for generated tokens. + properties: + logprobs_by_token: + additionalProperties: + type: number + title: Logprobs By Token + type: object + required: + - logprobs_by_token + title: TokenLogProbs + type: object + ChatCompletionResponse: + description: Response from a chat completion request. + properties: + metrics: + anyOf: + - items: + $ref: '#/components/schemas/MetricInResponse' + type: array + - type: 'null' + title: Metrics + nullable: true + completion_message: + $ref: '#/components/schemas/CompletionMessage' + logprobs: + anyOf: + - items: + $ref: '#/components/schemas/TokenLogProbs' + type: array + - type: 'null' + title: Logprobs + nullable: true + required: + - completion_message + title: ChatCompletionResponse + type: object + ChatCompletionResponseEventType: + description: Types of events that can occur during chat completion. + enum: + - start + - complete + - progress + title: ChatCompletionResponseEventType + type: string + ChatCompletionResponseEvent: + description: An event during chat completion generation. + properties: + event_type: + $ref: '#/components/schemas/ChatCompletionResponseEventType' + delta: + discriminator: + mapping: + image: '#/components/schemas/ImageDelta' + text: '#/components/schemas/TextDelta' + tool_call: '#/components/schemas/ToolCallDelta' + propertyName: type + oneOf: + - $ref: '#/components/schemas/TextDelta' + - $ref: '#/components/schemas/ImageDelta' + - $ref: '#/components/schemas/ToolCallDelta' + title: Delta + logprobs: + anyOf: + - items: + $ref: '#/components/schemas/TokenLogProbs' + type: array + - type: 'null' + title: Logprobs + nullable: true + stop_reason: + anyOf: + - $ref: '#/components/schemas/StopReason' + - type: 'null' + nullable: true + required: + - event_type + - delta + title: ChatCompletionResponseEvent + type: object + ChatCompletionResponseStreamChunk: + description: A chunk of a streamed chat completion response. + properties: + metrics: + anyOf: + - items: + $ref: '#/components/schemas/MetricInResponse' + type: array + - type: 'null' + title: Metrics + nullable: true + event: + $ref: '#/components/schemas/ChatCompletionResponseEvent' + required: + - event + title: ChatCompletionResponseStreamChunk + type: object + CompletionResponse: + description: Response from a completion request. + properties: + metrics: + anyOf: + - items: + $ref: '#/components/schemas/MetricInResponse' + type: array + - type: 'null' + title: Metrics + nullable: true + content: + title: Content + type: string + stop_reason: + $ref: '#/components/schemas/StopReason' + logprobs: + anyOf: + - items: + $ref: '#/components/schemas/TokenLogProbs' + type: array + - type: 'null' + title: Logprobs + nullable: true + required: + - content + - stop_reason + title: CompletionResponse + type: object + CompletionResponseStreamChunk: + description: A chunk of a streamed completion response. + properties: + metrics: + anyOf: + - items: + $ref: '#/components/schemas/MetricInResponse' + type: array + - type: 'null' + title: Metrics + nullable: true + delta: + title: Delta + type: string + stop_reason: + anyOf: + - $ref: '#/components/schemas/StopReason' + - type: 'null' + nullable: true + logprobs: + anyOf: + - items: + $ref: '#/components/schemas/TokenLogProbs' + type: array + - type: 'null' + title: Logprobs + nullable: true + required: + - delta + title: CompletionResponseStreamChunk + type: object + EmbeddingsResponse: + description: Response containing generated embeddings. + properties: + embeddings: + items: + items: + type: number + type: array + title: Embeddings + type: array + required: + - embeddings + title: EmbeddingsResponse + type: object + Fp8QuantizationConfig: + description: Configuration for 8-bit floating point quantization. properties: type: + const: fp8_mixed + default: fp8_mixed + title: Type type: string - const: text - default: text - description: >- - Discriminator type of the content item. Always "text" - text: - type: string - description: Text content - additionalProperties: false - required: - - type - - text - title: TextContentItem - description: A text content item - ToolInvocationResult: + title: Fp8QuantizationConfig type: object + Int4QuantizationConfig: + description: Configuration for 4-bit integer quantization. + properties: + type: + const: int4_mixed + default: int4_mixed + title: Type + type: string + scheme: + anyOf: + - type: string + - type: 'null' + default: int4_weight_int8_dynamic_activation + title: Scheme + title: Int4QuantizationConfig + type: object + OpenAIChoice: + description: A choice from an OpenAI-compatible chat completion response. + properties: + message: + discriminator: + mapping: + assistant: '#/components/schemas/OpenAIAssistantMessageParam' + developer: '#/components/schemas/OpenAIDeveloperMessageParam' + system: '#/components/schemas/OpenAISystemMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + user: '#/components/schemas/OpenAIUserMessageParam' + propertyName: role + oneOf: + - $ref: '#/components/schemas/OpenAIUserMessageParam' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + title: Message + finish_reason: + title: Finish Reason + type: string + index: + title: Index + type: integer + logprobs: + anyOf: + - $ref: '#/components/schemas/OpenAIChoiceLogprobs' + - type: 'null' + nullable: true + required: + - message + - finish_reason + - index + title: OpenAIChoice + type: object + OpenAIChoiceLogprobs: + description: The log probabilities for the tokens in the message from an OpenAI-compatible chat completion response. properties: content: - $ref: '#/components/schemas/InterleavedContent' - description: >- - (Optional) The output content from the tool execution - error_message: - type: string - description: >- - (Optional) Error message if the tool execution failed - error_code: - type: integer - description: >- - (Optional) Numeric error code if the tool execution failed - metadata: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: >- - (Optional) Additional metadata about the tool execution - additionalProperties: false - title: ToolInvocationResult - description: Result of a tool invocation. - URL: - type: object - properties: - uri: - type: string - description: The URL string pointing to the resource - additionalProperties: false - required: - - uri - title: URL - description: A URL reference to external content. - ToolDef: - type: object - properties: - toolgroup_id: - type: string - description: >- - (Optional) ID of the tool group this tool belongs to - name: - type: string - description: Name of the tool - description: - type: string - description: >- - (Optional) Human-readable description of what the tool does - input_schema: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: >- - (Optional) JSON Schema for tool inputs (MCP inputSchema) - output_schema: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: >- - (Optional) JSON Schema for tool outputs (MCP outputSchema) - metadata: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: >- - (Optional) Additional metadata about the tool - additionalProperties: false - required: - - name - title: ToolDef - description: >- - Tool definition used in runtime contexts. - ListToolDefsResponse: + anyOf: + - items: + $ref: '#/components/schemas/OpenAITokenLogProb' + type: array + - type: 'null' + title: Content + nullable: true + refusal: + anyOf: + - items: + $ref: '#/components/schemas/OpenAITokenLogProb' + type: array + - type: 'null' + title: Refusal + nullable: true + title: OpenAIChoiceLogprobs type: object + ListOpenAIChatCompletionResponse: + description: Response from listing OpenAI-compatible chat completions. properties: data: + items: + $ref: '#/components/schemas/OpenAICompletionWithInputMessages' + title: Data type: array + has_more: + title: Has More + type: boolean + first_id: + title: First Id + type: string + last_id: + title: Last Id + type: string + object: + const: list + default: list + title: Object + type: string + required: + - data + - has_more + - first_id + - last_id + title: ListOpenAIChatCompletionResponse + type: object + OpenAIChoiceDelta: + description: A delta from an OpenAI-compatible chat completion streaming response. + properties: + content: + anyOf: + - type: string + - type: 'null' + title: Content + nullable: true + refusal: + anyOf: + - type: string + - type: 'null' + title: Refusal + nullable: true + role: + anyOf: + - type: string + - type: 'null' + title: Role + nullable: true + tool_calls: + anyOf: + - items: + $ref: '#/components/schemas/OpenAIChatCompletionToolCall' + type: array + - type: 'null' + title: Tool Calls + nullable: true + reasoning_content: + anyOf: + - type: string + - type: 'null' + title: Reasoning Content + nullable: true + title: OpenAIChoiceDelta + type: object + OpenAIChunkChoice: + description: A chunk choice from an OpenAI-compatible chat completion streaming response. + properties: + delta: + $ref: '#/components/schemas/OpenAIChoiceDelta' + finish_reason: + title: Finish Reason + type: string + index: + title: Index + type: integer + logprobs: + anyOf: + - $ref: '#/components/schemas/OpenAIChoiceLogprobs' + - type: 'null' + nullable: true + required: + - delta + - finish_reason + - index + title: OpenAIChunkChoice + type: object + OpenAIChatCompletionChunk: + description: Chunk from a streaming response to an OpenAI-compatible chat completion request. + properties: + id: + title: Id + type: string + choices: + items: + $ref: '#/components/schemas/OpenAIChunkChoice' + title: Choices + type: array + object: + const: chat.completion.chunk + default: chat.completion.chunk + title: Object + type: string + created: + title: Created + type: integer + model: + title: Model + type: string + usage: + anyOf: + - $ref: '#/components/schemas/OpenAIChatCompletionUsage' + - type: 'null' + nullable: true + required: + - id + - choices + - created + - model + title: OpenAIChatCompletionChunk + type: object + OpenAICompletionChoice: + description: |- + A choice from an OpenAI-compatible completion response. + + :finish_reason: The reason the model stopped generating + :text: The text of the choice + :index: The index of the choice + :logprobs: (Optional) The log probabilities for the tokens in the choice + properties: + finish_reason: + title: Finish Reason + type: string + text: + title: Text + type: string + index: + title: Index + type: integer + logprobs: + anyOf: + - $ref: '#/components/schemas/OpenAIChoiceLogprobs' + - type: 'null' + nullable: true + required: + - finish_reason + - text + - index + title: OpenAICompletionChoice + type: object + OpenAICompletionLogprobs: + description: |- + The log probabilities for the tokens in the message from an OpenAI-compatible completion response. + + :text_offset: (Optional) The offset of the token in the text + :token_logprobs: (Optional) The log probabilities for the tokens + :tokens: (Optional) The tokens + :top_logprobs: (Optional) The top log probabilities for the tokens + properties: + text_offset: + anyOf: + - items: + type: integer + type: array + - type: 'null' + title: Text Offset + nullable: true + token_logprobs: + anyOf: + - items: + type: number + type: array + - type: 'null' + title: Token Logprobs + nullable: true + tokens: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: Tokens + nullable: true + top_logprobs: + anyOf: + - items: + additionalProperties: + type: number + type: object + type: array + - type: 'null' + title: Top Logprobs + nullable: true + title: OpenAICompletionLogprobs + type: object + ToolResponse: + description: Response from a tool invocation. + properties: + call_id: + title: Call Id + type: string + tool_name: + anyOf: + - $ref: '#/components/schemas/BuiltinTool' + - type: string + title: Tool Name + content: + anyOf: + - type: string + - discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + - items: + discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + type: array + title: Content + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + nullable: true + required: + - call_id + - tool_name + - content + title: ToolResponse + type: object + RouteInfo: + description: Information about an API route including its path, method, and implementing providers. + properties: + route: + title: Route + type: string + method: + title: Method + type: string + provider_types: + items: + type: string + title: Provider Types + type: array + required: + - route + - method + - provider_types + title: RouteInfo + type: object + ListRoutesResponse: + description: Response containing a list of all available API routes. + properties: + data: + items: + $ref: '#/components/schemas/RouteInfo' + title: Data + type: array + required: + - data + title: ListRoutesResponse + type: object + PostTrainingJobArtifactsResponse: + description: Artifacts of a finetuning job. + properties: + job_uuid: + title: Job Uuid + type: string + checkpoints: + items: + $ref: '#/components/schemas/Checkpoint' + title: Checkpoints + type: array + required: + - job_uuid + title: PostTrainingJobArtifactsResponse + type: object + PostTrainingJobLogStream: + description: Stream of logs from a finetuning job. + properties: + job_uuid: + title: Job Uuid + type: string + log_lines: + items: + type: string + title: Log Lines + type: array + required: + - job_uuid + - log_lines + title: PostTrainingJobLogStream + type: object + PostTrainingJobStatusResponse: + description: Status of a finetuning job. + properties: + job_uuid: + title: Job Uuid + type: string + status: + $ref: '#/components/schemas/JobStatus' + scheduled_at: + anyOf: + - format: date-time + type: string + - type: 'null' + title: Scheduled At + nullable: true + started_at: + anyOf: + - format: date-time + type: string + - type: 'null' + title: Started At + nullable: true + completed_at: + anyOf: + - format: date-time + type: string + - type: 'null' + title: Completed At + nullable: true + resources_allocated: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Resources Allocated + nullable: true + checkpoints: + items: + $ref: '#/components/schemas/Checkpoint' + title: Checkpoints + type: array + required: + - job_uuid + - status + title: PostTrainingJobStatusResponse + type: object + RLHFAlgorithm: + description: Available reinforcement learning from human feedback algorithms. + enum: + - dpo + title: RLHFAlgorithm + type: string + PostTrainingRLHFRequest: + description: Request to finetune a model using reinforcement learning from human feedback. + properties: + job_uuid: + title: Job Uuid + type: string + finetuned_model: + $ref: '#/components/schemas/URL' + dataset_id: + title: Dataset Id + type: string + validation_dataset_id: + title: Validation Dataset Id + type: string + algorithm: + $ref: '#/components/schemas/RLHFAlgorithm' + algorithm_config: + $ref: '#/components/schemas/DPOAlignmentConfig' + optimizer_config: + $ref: '#/components/schemas/OptimizerConfig' + training_config: + $ref: '#/components/schemas/TrainingConfig' + hyperparam_search_config: + additionalProperties: true + title: Hyperparam Search Config + type: object + logger_config: + additionalProperties: true + title: Logger Config + type: object + required: + - job_uuid + - finetuned_model + - dataset_id + - validation_dataset_id + - algorithm + - algorithm_config + - optimizer_config + - training_config + - hyperparam_search_config + - logger_config + title: PostTrainingRLHFRequest + type: object + ListToolDefsResponse: + description: Response containing a list of tool definitions. + properties: + data: items: $ref: '#/components/schemas/ToolDef' - description: List of tool definitions - additionalProperties: false - required: - - data - title: ListToolDefsResponse - description: >- - Response containing a list of tool definitions. - ToolGroup: - type: object - properties: - identifier: - type: string - provider_resource_id: - type: string - provider_id: - type: string - type: - type: string - enum: - - model - - shield - - vector_store - - dataset - - scoring_function - - benchmark - - tool - - tool_group - - prompt - const: tool_group - default: tool_group - description: Type of resource, always 'tool_group' - mcp_endpoint: - $ref: '#/components/schemas/URL' - description: >- - (Optional) Model Context Protocol endpoint for remote tools - args: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: >- - (Optional) Additional arguments for the tool group - additionalProperties: false - required: - - identifier - - provider_id - - type - title: ToolGroup - description: >- - A group of related tools managed together. - ListToolGroupsResponse: - type: object - properties: - data: + title: Data type: array - items: - $ref: '#/components/schemas/ToolGroup' - description: List of tool groups - additionalProperties: false required: - data title: ListToolGroupsResponse @@ -8610,409 +16946,202 @@ components: Response containing a list of tool groups. Chunk: type: object + Chunk: + description: A chunk of content that can be inserted into a vector database. properties: content: - $ref: '#/components/schemas/InterleavedContent' - description: >- - The content of the chunk, which can be interleaved text, images, or other - types. - chunk_id: - type: string - description: >- - Unique identifier for the chunk. Must be provided explicitly. - metadata: - type: object - additionalProperties: + anyOf: + - type: string + - discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: >- - Metadata associated with the chunk that will be used in the model context - during inference. + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + - items: + discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + type: array + title: Content + chunk_id: + title: Chunk Id + type: string + metadata: + additionalProperties: true + title: Metadata + type: object embedding: - type: array - items: - type: number - description: >- - Optional embedding for the chunk. If not provided, it will be computed - later. + anyOf: + - items: + type: number + type: array + - type: 'null' + title: Embedding + nullable: true chunk_metadata: - $ref: '#/components/schemas/ChunkMetadata' - description: >- - Metadata for the chunk that will NOT be used in the context during inference. - The `chunk_metadata` is required backend functionality. - additionalProperties: false + anyOf: + - $ref: '#/components/schemas/ChunkMetadata' + - type: 'null' + nullable: true required: - - content - - chunk_id - - metadata + - content + - chunk_id title: Chunk - description: >- - A chunk of content that can be inserted into a vector database. - ChunkMetadata: - type: object - properties: - chunk_id: - type: string - description: >- - The ID of the chunk. If not set, it will be generated based on the document - ID and content. - document_id: - type: string - description: >- - The ID of the document this chunk belongs to. - source: - type: string - description: >- - The source of the content, such as a URL, file path, or other identifier. - created_timestamp: - type: integer - description: >- - An optional timestamp indicating when the chunk was created. - updated_timestamp: - type: integer - description: >- - An optional timestamp indicating when the chunk was last updated. - chunk_window: - type: string - description: >- - The window of the chunk, which can be used to group related chunks together. - chunk_tokenizer: - type: string - description: >- - The tokenizer used to create the chunk. Default is Tiktoken. - chunk_embedding_model: - type: string - description: >- - The embedding model used to create the chunk's embedding. - chunk_embedding_dimension: - type: integer - description: >- - The dimension of the embedding vector for the chunk. - content_token_count: - type: integer - description: >- - The number of tokens in the content of the chunk. - metadata_token_count: - type: integer - description: >- - The number of tokens in the metadata of the chunk. - additionalProperties: false - title: ChunkMetadata - description: >- - `ChunkMetadata` is backend metadata for a `Chunk` that is used to store additional - information about the chunk that will not be used in the context during - inference, but is required for backend functionality. The `ChunkMetadata` is - set during chunk creation in `MemoryToolRuntimeImpl().insert()`and is not - expected to change after. Use `Chunk.metadata` for metadata that will - be used in the context during inference. - InsertChunksRequest: - type: object - properties: - vector_store_id: - type: string - description: >- - The identifier of the vector database to insert the chunks into. - chunks: - type: array - items: - $ref: '#/components/schemas/Chunk' - description: >- - The chunks to insert. Each `Chunk` should contain content which can be - interleaved text, images, or other types. `metadata`: `dict[str, Any]` - and `embedding`: `List[float]` are optional. If `metadata` is provided, - you configure how Llama Stack formats the chunk during generation. If - `embedding` is not provided, it will be computed later. - ttl_seconds: - type: integer - description: The time to live of the chunks. - additionalProperties: false - required: - - vector_store_id - - chunks - title: InsertChunksRequest - QueryChunksRequest: - type: object - properties: - vector_store_id: - type: string - description: >- - The identifier of the vector database to query. - query: - $ref: '#/components/schemas/InterleavedContent' - description: The query to search for. - params: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: The parameters of the query. - additionalProperties: false - required: - - vector_store_id - - query - title: QueryChunksRequest - QueryChunksResponse: - type: object - properties: - chunks: - type: array - items: - $ref: '#/components/schemas/Chunk' - description: >- - List of content chunks returned from the query - scores: - type: array - items: - type: number - description: >- - Relevance scores corresponding to each returned chunk - additionalProperties: false - required: - - chunks - - scores - title: QueryChunksResponse - description: >- - Response from querying chunks in a vector database. - VectorStoreFileCounts: - type: object - properties: - completed: - type: integer - description: >- - Number of files that have been successfully processed - cancelled: - type: integer - description: >- - Number of files that had their processing cancelled - failed: - type: integer - description: Number of files that failed to process - in_progress: - type: integer - description: >- - Number of files currently being processed - total: - type: integer - description: >- - Total number of files in the vector store - additionalProperties: false - required: - - completed - - cancelled - - failed - - in_progress - - total - title: VectorStoreFileCounts - description: >- - File processing status counts for a vector store. - VectorStoreListResponse: - type: object - properties: - object: - type: string - default: list - description: Object type identifier, always "list" - data: - type: array - items: - $ref: '#/components/schemas/VectorStoreObject' - description: List of vector store objects - first_id: - type: string - description: >- - (Optional) ID of the first vector store in the list for pagination - last_id: - type: string - description: >- - (Optional) ID of the last vector store in the list for pagination - has_more: - type: boolean - default: false - description: >- - Whether there are more vector stores available beyond this page - additionalProperties: false - required: - - object - - data - - has_more - title: VectorStoreListResponse - description: Response from listing vector stores. - VectorStoreObject: - type: object - properties: - id: - type: string - description: Unique identifier for the vector store - object: - type: string - default: vector_store - description: >- - Object type identifier, always "vector_store" - created_at: - type: integer - description: >- - Timestamp when the vector store was created - name: - type: string - description: (Optional) Name of the vector store - usage_bytes: - type: integer - default: 0 - description: >- - Storage space used by the vector store in bytes - file_counts: - $ref: '#/components/schemas/VectorStoreFileCounts' - description: >- - File processing status counts for the vector store - status: - type: string - default: completed - description: Current status of the vector store - expires_after: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: >- - (Optional) Expiration policy for the vector store - expires_at: - type: integer - description: >- - (Optional) Timestamp when the vector store will expire - last_active_at: - type: integer - description: >- - (Optional) Timestamp of last activity on the vector store - metadata: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: >- - Set of key-value pairs that can be attached to the vector store - additionalProperties: false - required: - - id - - object - - created_at - - usage_bytes - - file_counts - - status - - metadata - title: VectorStoreObject - description: OpenAI Vector Store object. - VectorStoreChunkingStrategy: - oneOf: - - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' - - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' - discriminator: - propertyName: type - mapping: - auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' - static: '#/components/schemas/VectorStoreChunkingStrategyStatic' - VectorStoreChunkingStrategyAuto: - type: object - properties: - type: - type: string - const: auto - default: auto - description: >- - Strategy type, always "auto" for automatic chunking - additionalProperties: false - required: - - type - title: VectorStoreChunkingStrategyAuto - description: >- - Automatic chunking strategy for vector store files. - VectorStoreChunkingStrategyStatic: - type: object - properties: - type: - type: string - const: static - default: static - description: >- - Strategy type, always "static" for static chunking - static: - $ref: '#/components/schemas/VectorStoreChunkingStrategyStaticConfig' - description: >- - Configuration parameters for the static chunking strategy - additionalProperties: false - required: - - type - - static - title: VectorStoreChunkingStrategyStatic - description: >- - Static chunking strategy with configurable parameters. - VectorStoreChunkingStrategyStaticConfig: - type: object - properties: - chunk_overlap_tokens: - type: integer - default: 400 - description: >- - Number of tokens to overlap between adjacent chunks - max_chunk_size_tokens: - type: integer - default: 800 - description: >- - Maximum number of tokens per chunk, must be between 100 and 4096 - additionalProperties: false - required: - - chunk_overlap_tokens - - max_chunk_size_tokens - title: VectorStoreChunkingStrategyStaticConfig - description: >- - Configuration for static chunking strategy. - "OpenAICreateVectorStoreRequestWithExtraBody": type: object + VectorStoreCreateRequest: + description: Request to create a vector store. properties: name: - type: string - description: (Optional) A name for the vector store + anyOf: + - type: string + - type: 'null' + title: Name + nullable: true file_ids: - type: array items: type: string - description: >- - List of file IDs to include in the vector store + title: File Ids + type: array expires_after: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: >- - (Optional) Expiration policy for the vector store + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Expires After + nullable: true chunking_strategy: - $ref: '#/components/schemas/VectorStoreChunkingStrategy' - description: >- - (Optional) Strategy for splitting files into chunks + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Chunking Strategy + nullable: true + metadata: + additionalProperties: true + title: Metadata + type: object + title: VectorStoreCreateRequest + type: object + VectorStoreFilesListInBatchResponse: + description: Response from listing files in a vector store file batch. + properties: + object: + default: list + title: Object + type: string + data: + items: + $ref: '#/components/schemas/VectorStoreFileObject' + title: Data + type: array + first_id: + anyOf: + - type: string + - type: 'null' + title: First Id + nullable: true + last_id: + anyOf: + - type: string + - type: 'null' + title: Last Id + nullable: true + has_more: + default: false + title: Has More + type: boolean + required: + - data + title: VectorStoreFilesListInBatchResponse + type: object + VectorStoreListFilesResponse: + description: Response from listing files in a vector store. + properties: + object: + default: list + title: Object + type: string + data: + items: + $ref: '#/components/schemas/VectorStoreFileObject' + title: Data + type: array + first_id: + anyOf: + - type: string + - type: 'null' + title: First Id + nullable: true + last_id: + anyOf: + - type: string + - type: 'null' + title: Last Id + nullable: true + has_more: + default: false + title: Has More + type: boolean + required: + - data + title: VectorStoreListFilesResponse + type: object + VectorStoreListResponse: + description: Response from listing vector stores. + properties: + object: + default: list + title: Object + type: string + data: + items: + $ref: '#/components/schemas/VectorStoreObject' + title: Data + type: array + first_id: + anyOf: + - type: string + - type: 'null' + title: First Id + nullable: true + last_id: + anyOf: + - type: string + - type: 'null' + title: Last Id + nullable: true + has_more: + default: false + title: Has More + type: boolean + required: + - data + title: VectorStoreListResponse + type: object + VectorStoreModifyRequest: + description: Request to modify a vector store. + properties: + name: + anyOf: + - type: string + - type: 'null' + title: Name + nullable: true + expires_after: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Expires After + nullable: true metadata: type: object additionalProperties: @@ -9462,143 +17591,75 @@ components: Represents the parsed content of a vector store file. OpenaiSearchVectorStoreRequest: type: object + VectorStoreSearchRequest: + description: Request to search a vector store. properties: query: - oneOf: - - type: string - - type: array - items: - type: string - description: >- - The query string or array for performing the search. - filters: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: >- - Filters based on file attributes to narrow the search results. - max_num_results: - type: integer - description: >- - Maximum number of results to return (1 to 50 inclusive, default 10). - ranking_options: - type: object - properties: - ranker: + anyOf: + - type: string + - items: type: string - description: >- - (Optional) Name of the ranking algorithm to use - score_threshold: - type: number - default: 0.0 - description: >- - (Optional) Minimum relevance score threshold for results - additionalProperties: false - description: >- - Ranking options for fine-tuning the search results. + type: array + title: Query + filters: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Filters + nullable: true + max_num_results: + default: 10 + title: Max Num Results + type: integer + ranking_options: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Ranking Options + nullable: true rewrite_query: - type: boolean - description: >- - Whether to rewrite the natural language query for vector search (default - false) - search_mode: - type: string - description: >- - The search mode to use - "keyword", "vector", or "hybrid" (default "vector") - additionalProperties: false - required: - - query - title: OpenaiSearchVectorStoreRequest - VectorStoreSearchResponse: - type: object - properties: - file_id: - type: string - description: >- - Unique identifier of the file containing the result - filename: - type: string - description: Name of the file containing the result - score: - type: number - description: Relevance score for this search result - attributes: - type: object - additionalProperties: - oneOf: - - type: string - - type: number - - type: boolean - description: >- - (Optional) Key-value attributes associated with the file - content: - type: array - items: - $ref: '#/components/schemas/VectorStoreContent' - description: >- - List of content items matching the search query - additionalProperties: false - required: - - file_id - - filename - - score - - content - title: VectorStoreSearchResponse - description: Response from searching a vector store. - VectorStoreSearchResponsePage: - type: object - properties: - object: - type: string - default: vector_store.search_results.page - description: >- - Object type identifier for the search results page - search_query: - type: array - items: - type: string - description: >- - The original search query that was executed - data: - type: array - items: - $ref: '#/components/schemas/VectorStoreSearchResponse' - description: List of search result objects - has_more: - type: boolean default: false - description: >- - Whether there are more results available beyond this page - next_page: - type: string - description: >- - (Optional) Token for retrieving the next page of results - additionalProperties: false + title: Rewrite Query + type: boolean required: - - object - - search_query - - data - - has_more - title: VectorStoreSearchResponsePage - description: >- - Paginated response from searching a vector store. - VersionInfo: + - query + title: VectorStoreSearchRequest type: object + _safety_run_shield_Request: properties: - version: + shield_id: + title: Shield Id type: string - description: Version number of the service - additionalProperties: false + messages: + items: + discriminator: + mapping: + assistant: '#/components/schemas/OpenAIAssistantMessageParam' + developer: '#/components/schemas/OpenAIDeveloperMessageParam' + system: '#/components/schemas/OpenAISystemMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + user: '#/components/schemas/OpenAIUserMessageParam' + propertyName: role + oneOf: + - $ref: '#/components/schemas/OpenAIUserMessageParam' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + title: Messages + type: array + params: + additionalProperties: true + title: Params + type: object required: - - version - title: VersionInfo - description: Version information for the service. + - shield_id + - messages + - params + title: _safety_run_shield_Request + type: object responses: BadRequest400: description: The request was invalid or malformed @@ -9611,8 +17672,7 @@ components: title: Bad Request detail: The request was invalid or malformed TooManyRequests429: - description: >- - The client has sent too many requests in a given amount of time + description: The client has sent too many requests in a given amount of time content: application/json: schema: @@ -9620,11 +17680,9 @@ components: example: status: 429 title: Too Many Requests - detail: >- - You have exceeded the rate limit. Please try again later. + detail: You have exceeded the rate limit. Please try again later. InternalServerError500: - description: >- - The server encountered an unexpected error + description: The server encountered an unexpected error content: application/json: schema: @@ -9632,185 +17690,10 @@ components: example: status: 500 title: Internal Server Error - detail: >- - An unexpected error occurred. Our team has been notified. + detail: An unexpected error occurred DefaultError: - description: An unexpected error occurred + description: An error occurred content: application/json: schema: $ref: '#/components/schemas/Error' - example: - status: 0 - title: Error - detail: An unexpected error occurred -security: - - Default: [] -tags: - - name: Agents - description: >- - APIs for creating and interacting with agentic systems. - - - ## Responses API - - - The Responses API provides OpenAI-compatible functionality with enhanced capabilities - for dynamic, stateful interactions. - - - > **✅ STABLE**: This API is production-ready with backward compatibility guarantees. - Recommended for production applications. - - - ### ✅ Supported Tools - - - The Responses API supports the following tool types: - - - - **`web_search`**: Search the web for current information and real-time data - - - **`file_search`**: Search through uploaded files and vector stores - - Supports dynamic `vector_store_ids` per call - - Compatible with OpenAI file search patterns - - **`function`**: Call custom functions with JSON schema validation - - - **`mcp_tool`**: Model Context Protocol integration - - - ### ✅ Supported Fields & Features - - - **Core Capabilities:** - - - **Dynamic Configuration**: Switch models, vector stores, and tools per request - without pre-configuration - - - **Conversation Branching**: Use `previous_response_id` to branch conversations - and explore different paths - - - **Rich Annotations**: Automatic file citations, URL citations, and container - file citations - - - **Status Tracking**: Monitor tool call execution status and handle failures - gracefully - - - ### 🚧 Work in Progress - - - - Full real-time response streaming support - - - `tool_choice` parameter - - - `max_tool_calls` parameter - - - Built-in tools (code interpreter, containers API) - - - Safety & guardrails - - - `reasoning` capabilities - - - `service_tier` - - - `logprobs` - - - `max_output_tokens` - - - `metadata` handling - - - `instructions` - - - `incomplete_details` - - - `background` - x-displayName: Agents - - name: Batches - description: >- - The API is designed to allow use of openai client libraries for seamless integration. - - - This API provides the following extensions: - - idempotent batch creation - - Note: This API is currently under active development and may undergo changes. - x-displayName: >- - The Batches API enables efficient processing of multiple requests in a single - operation, particularly useful for processing large datasets, batch evaluation - workflows, and cost-effective inference at scale. - - name: Conversations - description: >- - Protocol for conversation management operations. - x-displayName: Conversations - - name: Files - description: >- - This API is used to upload documents that can be used with other Llama Stack - APIs. - x-displayName: Files - - name: Inference - description: >- - Llama Stack Inference API for generating completions, chat completions, and - embeddings. - - - This API provides the raw interface to the underlying models. Three kinds of - models are supported: - - - LLM models: these models generate "raw" and "chat" (conversational) completions. - - - Embedding models: these models generate embeddings to be used for semantic - search. - - - Rerank models: these models reorder the documents based on their relevance - to a query. - x-displayName: Inference - - name: Inspect - description: >- - APIs for inspecting the Llama Stack service, including health status, available - API routes with methods and implementing providers. - x-displayName: Inspect - - name: Models - description: '' - - name: Prompts - description: >- - Protocol for prompt management operations. - x-displayName: Prompts - - name: Providers - description: >- - Providers API for inspecting, listing, and modifying providers and their configurations. - x-displayName: Providers - - name: Safety - description: OpenAI-compatible Moderations API. - x-displayName: Safety - - name: Scoring - description: '' - - name: ScoringFunctions - description: '' - - name: Shields - description: '' - - name: ToolGroups - description: '' - - name: ToolRuntime - description: '' - - name: VectorIO - description: '' -x-tagGroups: - - name: Operations - tags: - - Agents - - Batches - - Conversations - - Files - - Inference - - Inspect - - Models - - Prompts - - Providers - - Safety - - Scoring - - ScoringFunctions - - Shields - - ToolGroups - - ToolRuntime - - VectorIO diff --git a/docs/static/stainless-llama-stack-spec.yaml b/docs/static/stainless-llama-stack-spec.yaml index 65a255c17..76bb8b08d 100644 --- a/docs/static/stainless-llama-stack-spec.yaml +++ b/docs/static/stainless-llama-stack-spec.yaml @@ -1,19 +1,19 @@ openapi: 3.1.0 info: - title: >- - Llama Stack Specification - Stable & Experimental APIs - version: v1 - description: >- + title: Llama Stack Specification - Stable & Experimental APIs + description: |- This is the specification of the Llama Stack that provides - a set of endpoints and their corresponding interfaces that are - tailored to - best leverage Llama Models. + a set of endpoints and their corresponding interfaces that are + tailored to + best leverage Llama Models. - **🔗 COMBINED**: This specification includes both stable production-ready APIs - and experimental pre-release APIs. Use stable APIs for production deployments - and experimental APIs for testing new features. + + **🔗 COMBINED**: This specification includes both stable production-ready APIs + and experimental pre-release APIs. Use stable APIs for production deployments + and experimental APIs for testing new features. + version: v1 servers: - - url: http://any-hosted-llama-stack.com +- url: http://any-hosted-llama-stack.com paths: /v1/batches: get: @@ -1406,41 +1406,142 @@ paths: deprecated: false /v1/providers/{provider_id}: get: + tags: + - Providers + summary: Inspect Provider + description: |- + Get provider. + + Get detailed information about a specific provider. + operationId: inspect_provider_v1_providers__provider_id__get responses: '200': - description: >- - A ProviderInfo object containing the provider's details. + description: A ProviderInfo object containing the provider's details. content: application/json: schema: $ref: '#/components/schemas/ProviderInfo' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: provider_id + in: path + required: true + schema: + type: string + description: 'Path parameter: provider_id' + /v1/providers: + get: + tags: + - Providers + summary: List Providers + description: |- + List providers. + + List all available providers. + operationId: list_providers_v1_providers_get + responses: + '200': + description: A ListProvidersResponse containing information about all providers. + content: + application/json: + schema: + $ref: '#/components/schemas/ListProvidersResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/responses: + post: + tags: + - Agents + summary: Create Openai Response + description: Create a model response. + operationId: create_openai_response_v1_responses_post + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/_responses_Request' + responses: + '200': + description: An OpenAIResponseObject. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIResponseObject' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' - tags: - - Providers - summary: Get provider. - description: >- - Get provider. - - Get detailed information about a specific provider. - parameters: - - name: provider_id - in: path - description: The ID of the provider to inspect. - required: true - schema: - type: string - deprecated: false - /v1/responses: + description: Default Response get: + tags: + - Agents + summary: List Openai Responses + description: List all responses. + operationId: list_openai_responses_v1_responses_get + parameters: + - name: after + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: After + - name: limit + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + default: 50 + title: Limit + - name: model + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: Model + - name: order + in: query + required: false + schema: + anyOf: + - $ref: '#/components/schemas/Order' + - type: 'null' + default: desc + title: Order responses: '200': description: A ListOpenAIResponseObject. @@ -1450,92 +1551,23 @@ paths: $ref: '#/components/schemas/ListOpenAIResponseObject' '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' - tags: - - Agents - summary: List all responses. - description: List all responses. - parameters: - - name: after - in: query - description: The ID of the last response to return. - required: false - schema: - type: string - - name: limit - in: query - description: The number of responses to return. - required: false - schema: - type: integer - - name: model - in: query - description: The model to filter responses by. - required: false - schema: - type: string - - name: order - in: query - description: >- - The order to sort responses by when sorted by created_at ('asc' or 'desc'). - required: false - schema: - $ref: '#/components/schemas/Order' - deprecated: false - post: - responses: - '200': - description: An OpenAIResponseObject. - content: - application/json: - schema: - $ref: '#/components/schemas/OpenAIResponseObject' - text/event-stream: - schema: - $ref: '#/components/schemas/OpenAIResponseObjectStream' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - Agents - summary: Create a model response. - description: Create a model response. - parameters: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/CreateOpenaiResponseRequest' - required: true - deprecated: false - x-llama-stack-extra-body-params: - - name: guardrails - schema: - type: array - items: - oneOf: - - type: string - - $ref: '#/components/schemas/ResponseGuardrailSpec' - description: >- - List of guardrails to apply during response generation. Guardrails provide - safety and content moderation. - required: false + description: Default Response /v1/responses/{response_id}: get: + tags: + - Agents + summary: Get Openai Response + description: Get a model response. + operationId: get_openai_response_v1_responses__response_id__get responses: '200': description: An OpenAIResponseObject. @@ -1544,29 +1576,30 @@ paths: schema: $ref: '#/components/schemas/OpenAIResponseObject' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - Agents - summary: Get a model response. - description: Get a model response. parameters: - - name: response_id - in: path - description: >- - The ID of the OpenAI response to retrieve. - required: true - schema: - type: string - deprecated: false + - name: response_id + in: path + required: true + schema: + type: string + description: 'Path parameter: response_id' delete: + tags: + - Agents + summary: Delete Openai Response + description: Delete a response. + operationId: delete_openai_response_v1_responses__response_id__delete responses: '200': description: An OpenAIDeleteResponseObject @@ -1575,29 +1608,82 @@ paths: schema: $ref: '#/components/schemas/OpenAIDeleteResponseObject' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - Agents - summary: Delete a response. - description: Delete a response. parameters: - - name: response_id - in: path - description: The ID of the OpenAI response to delete. - required: true - schema: - type: string - deprecated: false + - name: response_id + in: path + required: true + schema: + type: string + description: 'Path parameter: response_id' /v1/responses/{response_id}/input_items: get: + tags: + - Agents + summary: List Openai Response Input Items + description: List input items. + operationId: list_openai_response_input_items_v1_responses__response_id__input_items_get + parameters: + - name: after + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: After + - name: before + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: Before + - name: limit + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + default: 20 + title: Limit + - name: order + in: query + required: false + schema: + anyOf: + - $ref: '#/components/schemas/Order' + - type: 'null' + default: desc + title: Order + - name: response_id + in: path + required: true + schema: + type: string + description: 'Path parameter: response_id' + requestBody: + content: + application/json: + schema: + anyOf: + - type: array + items: + type: string + - type: 'null' + title: Include responses: '200': description: An ListOpenAIResponseInputItem. @@ -1607,116 +1693,110 @@ paths: $ref: '#/components/schemas/ListOpenAIResponseInputItem' '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' - tags: - - Agents - summary: List input items. - description: List input items. - parameters: - - name: response_id - in: path - description: >- - The ID of the response to retrieve input items for. - required: true - schema: - type: string - - name: after - in: query - description: >- - An item ID to list items after, used for pagination. - required: false - schema: - type: string - - name: before - in: query - description: >- - An item ID to list items before, used for pagination. - required: false - schema: - type: string - - name: include - in: query - description: >- - Additional fields to include in the response. - required: false - schema: - type: array - items: - type: string - - name: limit - in: query - description: >- - A limit on the number of objects to be returned. Limit can range between - 1 and 100, and the default is 20. - required: false - schema: - type: integer - - name: order - in: query - description: >- - The order to return the input items in. Default is desc. - required: false - schema: - $ref: '#/components/schemas/Order' - deprecated: false - /v1/safety/run-shield: - post: - responses: - '200': - description: A RunShieldResponse. - content: - application/json: - schema: - $ref: '#/components/schemas/RunShieldResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - Safety - summary: Run shield. - description: >- - Run shield. - - Run a shield. - parameters: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/RunShieldRequest' - required: true - deprecated: false - /v1/scoring-functions: + description: Default Response + /v1/chat/completions/{completion_id}: get: + tags: + - Inference + summary: Get Chat Completion + description: |- + Get chat completion. + + Describe a chat completion by its ID. + operationId: get_chat_completion_v1_chat_completions__completion_id__get responses: '200': - description: A ListScoringFunctionsResponse. + description: A OpenAICompletionWithInputMessages. content: application/json: schema: - $ref: '#/components/schemas/ListScoringFunctionsResponse' + $ref: '#/components/schemas/OpenAICompletionWithInputMessages' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: completion_id + in: path + required: true + schema: + type: string + description: 'Path parameter: completion_id' + /v1/chat/completions: + get: + tags: + - Inference + summary: List Chat Completions + description: List chat completions. + operationId: list_chat_completions_v1_chat_completions_get + parameters: + - name: after + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: After + - name: limit + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + default: 20 + title: Limit + - name: model + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: Model + - name: order + in: query + required: false + schema: + anyOf: + - $ref: '#/components/schemas/Order' + - type: 'null' + default: desc + title: Order + responses: + '200': + description: A ListOpenAIChatCompletionResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListOpenAIChatCompletionResponse' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' tags: @@ -1755,19 +1835,20 @@ paths: get: responses: '200': - description: A ScoringFn. + description: An OpenAIChatCompletion. content: application/json: schema: - $ref: '#/components/schemas/ScoringFn' + $ref: '#/components/schemas/OpenAIChatCompletion' '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' tags: @@ -1811,85 +1892,73 @@ paths: deprecated: true /v1/scoring/score: post: - responses: - '200': - description: >- - A ScoreResponse object containing rows and aggregated results. - content: - application/json: - schema: - $ref: '#/components/schemas/ScoreResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - - Scoring - summary: Score a list of rows. - description: Score a list of rows. - parameters: [] + - Inference + summary: Openai Completion + description: |- + Create completion. + + Generate an OpenAI-compatible completion for the given prompt using the specified model. + operationId: openai_completion_v1_completions_post requestBody: content: application/json: schema: - $ref: '#/components/schemas/ScoreRequest' + $ref: '#/components/schemas/OpenAICompletionRequestWithExtraBody' required: true - deprecated: false - /v1/scoring/score-batch: + responses: + '200': + description: An OpenAICompletion. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAICompletion' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/embeddings: post: - responses: - '200': - description: A ScoreBatchResponse. - content: - application/json: - schema: - $ref: '#/components/schemas/ScoreBatchResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - - Scoring - summary: Score a batch of rows. - description: Score a batch of rows. - parameters: [] + - Inference + summary: Openai Embeddings + description: |- + Create embeddings. + + Generate OpenAI-compatible embeddings for the given input using the specified model. + operationId: openai_embeddings_v1_embeddings_post requestBody: content: application/json: schema: - $ref: '#/components/schemas/ScoreBatchRequest' + $ref: '#/components/schemas/OpenAIEmbeddingsRequestWithExtraBody' required: true - deprecated: false - /v1/shields: - get: responses: '200': - description: A ListShieldsResponse. + description: An OpenAIEmbeddingsResponse containing the embeddings. content: application/json: schema: - $ref: '#/components/schemas/ListShieldsResponse' + $ref: '#/components/schemas/OpenAIEmbeddingsResponse' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' tags: - Shields @@ -1931,21 +2000,25 @@ paths: get: responses: '200': - description: A Shield. + description: RerankResponse with indices sorted by relevance score (descending). content: application/json: schema: - $ref: '#/components/schemas/Shield' + $ref: '#/components/schemas/RerankResponse' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' + /v1/health: + get: tags: - Shields summary: Get a shield by its identifier. @@ -1987,58 +2060,30 @@ paths: deprecated: true /v1/tool-runtime/invoke: post: + tags: + - Batches + summary: Cancel Batch + description: Cancel a batch that is in progress. + operationId: cancel_batch_v1_batches__batch_id__cancel_post responses: '200': - description: A ToolInvocationResult. + description: The updated batch object. content: application/json: schema: - $ref: '#/components/schemas/ToolInvocationResult' + $ref: '#/components/schemas/Batch' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - ToolRuntime - summary: Run a tool with the given arguments. - description: Run a tool with the given arguments. - parameters: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/InvokeToolRequest' - required: true - deprecated: false - /v1/tool-runtime/list-tools: - get: - responses: - '200': - description: A ListToolDefsResponse. - content: - application/json: - schema: - $ref: '#/components/schemas/ListToolDefsResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - ToolRuntime - summary: List all tools in the runtime. - description: List all tools in the runtime. parameters: - name: tool_group_id in: query @@ -2228,33 +2273,772 @@ paths: deprecated: false /v1/vector-io/insert: post: + tags: + - Vector Io + summary: Insert Chunks + description: Insert chunks into a vector database. + operationId: insert_chunks_v1_vector_io_insert_post + requestBody: + required: true + content: + application/json: + schema: + type: array + items: + $ref: '#/components/schemas/Chunk-Input' + title: Chunks responses: '200': - description: OK + description: Successful Response + content: + application/json: + schema: {} '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/vector_stores/{vector_store_id}/files: + post: tags: - - VectorIO - summary: Insert chunks into a vector database. - description: Insert chunks into a vector database. - parameters: [] + - Vector Io + summary: Openai Attach File To Vector Store + description: Attach a file to a vector store. + operationId: openai_attach_file_to_vector_store_v1_vector_stores__vector_store_id__files_post + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/_vector_stores_vector_store_id_files_Request' + responses: + '200': + description: A VectorStoreFileObject representing the attached file. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileObject' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + get: + tags: + - Vector Io + summary: Openai List Files In Vector Store + description: List files in a vector store. + operationId: openai_list_files_in_vector_store_v1_vector_stores__vector_store_id__files_get + parameters: + - name: after + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: After + - name: before + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: Before + - name: filter + in: query + required: false + schema: + anyOf: + - const: completed + type: string + - const: in_progress + type: string + - const: cancelled + type: string + - const: failed + type: string + - type: 'null' + title: Filter + - name: limit + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + default: 20 + title: Limit + - name: order + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + default: desc + title: Order + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + responses: + '200': + description: A VectorStoreListFilesResponse containing the list of files. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreListFilesResponse' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/vector_stores/{vector_store_id}/file_batches/{batch_id}/cancel: + post: + tags: + - Vector Io + summary: Openai Cancel Vector Store File Batch + description: Cancels a vector store file batch. + operationId: openai_cancel_vector_store_file_batch_v1_vector_stores__vector_store_id__file_batches__batch_id__cancel_post + responses: + '200': + description: A VectorStoreFileBatchObject representing the cancelled file batch. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileBatchObject' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + - name: batch_id + in: path + required: true + schema: + type: string + description: 'Path parameter: batch_id' + /v1/vector_stores: + post: + tags: + - Vector Io + summary: Openai Create Vector Store + description: |- + Creates a vector store. + + Generate an OpenAI-compatible vector store with the given parameters. + operationId: openai_create_vector_store_v1_vector_stores_post + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAICreateVectorStoreRequestWithExtraBody' + responses: + '200': + description: A VectorStoreObject representing the created vector store. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreObject' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + get: + tags: + - Vector Io + summary: Openai List Vector Stores + description: Returns a list of vector stores. + operationId: openai_list_vector_stores_v1_vector_stores_get + parameters: + - name: after + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: After + - name: before + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: Before + - name: limit + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + default: 20 + title: Limit + - name: order + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + default: desc + title: Order + responses: + '200': + description: A VectorStoreListResponse containing the list of vector stores. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreListResponse' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/vector_stores/{vector_store_id}/file_batches: + post: + tags: + - Vector Io + summary: Openai Create Vector Store File Batch + description: |- + Create a vector store file batch. + + Generate an OpenAI-compatible vector store file batch for the given vector store. + operationId: openai_create_vector_store_file_batch_v1_vector_stores__vector_store_id__file_batches_post requestBody: content: application/json: schema: - $ref: '#/components/schemas/InsertChunksRequest' + $ref: '#/components/schemas/OpenAICreateVectorStoreFileBatchRequestWithExtraBody' required: true - deprecated: false + responses: + '200': + description: A VectorStoreFileBatchObject representing the created file batch. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileBatchObject' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + /v1/vector_stores/{vector_store_id}: + get: + tags: + - Vector Io + summary: Openai Retrieve Vector Store + description: Retrieves a vector store. + operationId: openai_retrieve_vector_store_v1_vector_stores__vector_store_id__get + responses: + '200': + description: A VectorStoreObject representing the vector store. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreObject' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + post: + tags: + - Vector Io + summary: Openai Update Vector Store + description: Updates a vector store. + operationId: openai_update_vector_store_v1_vector_stores__vector_store_id__post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_vector_stores_vector_store_id_Request' + required: true + responses: + '200': + description: A VectorStoreObject representing the updated vector store. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreObject' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + delete: + tags: + - Vector Io + summary: Openai Delete Vector Store + description: Delete a vector store. + operationId: openai_delete_vector_store_v1_vector_stores__vector_store_id__delete + responses: + '200': + description: A VectorStoreDeleteResponse indicating the deletion status. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreDeleteResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + /v1/vector_stores/{vector_store_id}/files/{file_id}: + get: + tags: + - Vector Io + summary: Openai Retrieve Vector Store File + description: Retrieves a vector store file. + operationId: openai_retrieve_vector_store_file_v1_vector_stores__vector_store_id__files__file_id__get + responses: + '200': + description: A VectorStoreFileObject representing the file. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileObject' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + - name: file_id + in: path + required: true + schema: + type: string + description: 'Path parameter: file_id' + post: + tags: + - Vector Io + summary: Openai Update Vector Store File + description: Updates a vector store file. + operationId: openai_update_vector_store_file_v1_vector_stores__vector_store_id__files__file_id__post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_vector_stores_vector_store_id_files_file_id_Request' + required: true + responses: + '200': + description: A VectorStoreFileObject representing the updated file. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileObject' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + - name: file_id + in: path + required: true + schema: + type: string + description: 'Path parameter: file_id' + delete: + tags: + - Vector Io + summary: Openai Delete Vector Store File + description: Delete a vector store file. + operationId: openai_delete_vector_store_file_v1_vector_stores__vector_store_id__files__file_id__delete + responses: + '200': + description: A VectorStoreFileDeleteResponse indicating the deletion status. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileDeleteResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + - name: file_id + in: path + required: true + schema: + type: string + description: 'Path parameter: file_id' + /v1/vector_stores/{vector_store_id}/file_batches/{batch_id}/files: + get: + tags: + - Vector Io + summary: Openai List Files In Vector Store File Batch + description: Returns a list of vector store files in a batch. + operationId: openai_list_files_in_vector_store_file_batch_v1_vector_stores__vector_store_id__file_batches__batch_id__files_get + parameters: + - name: after + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: After + - name: before + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: Before + - name: filter + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: Filter + - name: limit + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + default: 20 + title: Limit + - name: order + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + default: desc + title: Order + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + - name: batch_id + in: path + required: true + schema: + type: string + description: 'Path parameter: batch_id' + responses: + '200': + description: A VectorStoreFilesListInBatchResponse containing the list of files in the batch. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFilesListInBatchResponse' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/vector_stores/{vector_store_id}/file_batches/{batch_id}: + get: + tags: + - Vector Io + summary: Openai Retrieve Vector Store File Batch + description: Retrieve a vector store file batch. + operationId: openai_retrieve_vector_store_file_batch_v1_vector_stores__vector_store_id__file_batches__batch_id__get + responses: + '200': + description: A VectorStoreFileBatchObject representing the file batch. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileBatchObject' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + - name: batch_id + in: path + required: true + schema: + type: string + description: 'Path parameter: batch_id' + /v1/vector_stores/{vector_store_id}/files/{file_id}/content: + get: + tags: + - Vector Io + summary: Openai Retrieve Vector Store File Contents + description: Retrieves the contents of a vector store file. + operationId: openai_retrieve_vector_store_file_contents_v1_vector_stores__vector_store_id__files__file_id__content_get + responses: + '200': + description: A list of InterleavedContent representing the file contents. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreFileContentsResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' + - name: file_id + in: path + required: true + schema: + type: string + description: 'Path parameter: file_id' + /v1/vector_stores/{vector_store_id}/search: + post: + tags: + - Vector Io + summary: Openai Search Vector Store + description: |- + Search for chunks in a vector store. + + Searches a vector store for relevant chunks based on a query and optional file attribute filters. + operationId: openai_search_vector_store_v1_vector_stores__vector_store_id__search_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_vector_stores_vector_store_id_search_Request' + required: true + responses: + '200': + description: A VectorStoreSearchResponse containing the search results. + content: + application/json: + schema: + $ref: '#/components/schemas/VectorStoreSearchResponsePage' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: vector_store_id + in: path + required: true + schema: + type: string + description: 'Path parameter: vector_store_id' /v1/vector-io/query: post: + tags: + - Vector Io + summary: Query Chunks + description: Query chunks from a vector database. + operationId: query_chunks_v1_vector_io_query_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_vector_io_query_Request' + required: true responses: '200': description: A QueryChunksResponse. @@ -2263,656 +3047,288 @@ paths: schema: $ref: '#/components/schemas/QueryChunksResponse' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: Query chunks from a vector database. - description: Query chunks from a vector database. - parameters: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/QueryChunksRequest' - required: true - deprecated: false - /v1/vector_stores: + /v1/models/{model_id}: get: - responses: - '200': - description: >- - A VectorStoreListResponse containing the list of vector stores. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreListResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - - VectorIO - summary: Returns a list of vector stores. - description: Returns a list of vector stores. - parameters: - - name: limit - in: query - description: >- - A limit on the number of objects to be returned. Limit can range between - 1 and 100, and the default is 20. - required: false - schema: - type: integer - - name: order - in: query - description: >- - Sort order by the `created_at` timestamp of the objects. `asc` for ascending - order and `desc` for descending order. - required: false - schema: - type: string - - name: after - in: query - description: >- - A cursor for use in pagination. `after` is an object ID that defines your - place in the list. - required: false - schema: - type: string - - name: before - in: query - description: >- - A cursor for use in pagination. `before` is an object ID that defines - your place in the list. - required: false - schema: - type: string - deprecated: false - post: - responses: - '200': - description: >- - A VectorStoreObject representing the created vector store. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreObject' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: Creates a vector store. - description: >- - Creates a vector store. + - Models + summary: Get Model + description: |- + Get model. - Generate an OpenAI-compatible vector store with the given parameters. - parameters: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/OpenAICreateVectorStoreRequestWithExtraBody' - required: true - deprecated: false - /v1/vector_stores/{vector_store_id}: - get: + Get a model by its identifier. + operationId: get_model_v1_models__model_id__get responses: '200': - description: >- - A VectorStoreObject representing the vector store. + description: A Model. content: application/json: schema: - $ref: '#/components/schemas/VectorStoreObject' + $ref: '#/components/schemas/Model' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: Retrieves a vector store. - description: Retrieves a vector store. parameters: - - name: vector_store_id - in: path - description: The ID of the vector store to retrieve. - required: true - schema: - type: string - deprecated: false - post: - responses: - '200': - description: >- - A VectorStoreObject representing the updated vector store. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreObject' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: Updates a vector store. - description: Updates a vector store. - parameters: - - name: vector_store_id - in: path - description: The ID of the vector store to update. - required: true - schema: - type: string - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/OpenaiUpdateVectorStoreRequest' + - name: model_id + in: path required: true - deprecated: false + schema: + type: string + description: 'Path parameter: model_id' delete: - responses: - '200': - description: >- - A VectorStoreDeleteResponse indicating the deletion status. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreDeleteResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - - VectorIO - summary: Delete a vector store. - description: Delete a vector store. - parameters: - - name: vector_store_id - in: path - description: The ID of the vector store to delete. - required: true - schema: - type: string - deprecated: false - /v1/vector_stores/{vector_store_id}/file_batches: - post: - responses: - '200': - description: >- - A VectorStoreFileBatchObject representing the created file batch. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreFileBatchObject' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: Create a vector store file batch. - description: >- - Create a vector store file batch. + - Models + summary: Unregister Model + description: |- + Unregister model. - Generate an OpenAI-compatible vector store file batch for the given vector - store. + Unregister a model. + operationId: unregister_model_v1_models__model_id__delete + responses: + '200': + description: Successful Response + content: + application/json: + schema: {} + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' parameters: - - name: vector_store_id - in: path - description: >- - The ID of the vector store to create the file batch for. - required: true - schema: - type: string + - name: model_id + in: path + required: true + schema: + type: string + description: 'Path parameter: model_id' + /v1/models: + get: + tags: + - Models + summary: Openai List Models + description: List models using the OpenAI API. + operationId: openai_list_models_v1_models_get + responses: + '200': + description: A OpenAIListModelsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIListModelsResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + post: + tags: + - Models + summary: Register Model + description: |- + Register model. + + Register a model. + operationId: register_model_v1_models_post requestBody: content: application/json: schema: - $ref: '#/components/schemas/OpenAICreateVectorStoreFileBatchRequestWithExtraBody' + $ref: '#/components/schemas/_models_Request' required: true - deprecated: false - /v1/vector_stores/{vector_store_id}/file_batches/{batch_id}: - get: responses: '200': - description: >- - A VectorStoreFileBatchObject representing the file batch. + description: A Model. content: application/json: schema: - $ref: '#/components/schemas/VectorStoreFileBatchObject' + $ref: '#/components/schemas/Model' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: Retrieve a vector store file batch. - description: Retrieve a vector store file batch. - parameters: - - name: batch_id - in: path - description: The ID of the file batch to retrieve. - required: true - schema: - type: string - - name: vector_store_id - in: path - description: >- - The ID of the vector store containing the file batch. - required: true - schema: - type: string - deprecated: false - /v1/vector_stores/{vector_store_id}/file_batches/{batch_id}/cancel: + /v1/moderations: post: - responses: - '200': - description: >- - A VectorStoreFileBatchObject representing the cancelled file batch. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreFileBatchObject' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - - VectorIO - summary: Cancels a vector store file batch. - description: Cancels a vector store file batch. - parameters: - - name: batch_id - in: path - description: The ID of the file batch to cancel. - required: true - schema: - type: string - - name: vector_store_id - in: path - description: >- - The ID of the vector store containing the file batch. - required: true - schema: - type: string - deprecated: false - /v1/vector_stores/{vector_store_id}/file_batches/{batch_id}/files: - get: - responses: - '200': - description: >- - A VectorStoreFilesListInBatchResponse containing the list of files in - the batch. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreFilesListInBatchResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: >- - Returns a list of vector store files in a batch. - description: >- - Returns a list of vector store files in a batch. - parameters: - - name: batch_id - in: path - description: >- - The ID of the file batch to list files from. - required: true - schema: - type: string - - name: vector_store_id - in: path - description: >- - The ID of the vector store containing the file batch. - required: true - schema: - type: string - - name: after - in: query - description: >- - A cursor for use in pagination. `after` is an object ID that defines your - place in the list. - required: false - schema: - type: string - - name: before - in: query - description: >- - A cursor for use in pagination. `before` is an object ID that defines - your place in the list. - required: false - schema: - type: string - - name: filter - in: query - description: >- - Filter by file status. One of in_progress, completed, failed, cancelled. - required: false - schema: - type: string - - name: limit - in: query - description: >- - A limit on the number of objects to be returned. Limit can range between - 1 and 100, and the default is 20. - required: false - schema: - type: integer - - name: order - in: query - description: >- - Sort order by the `created_at` timestamp of the objects. `asc` for ascending - order and `desc` for descending order. - required: false - schema: - type: string - deprecated: false - /v1/vector_stores/{vector_store_id}/files: - get: - responses: - '200': - description: >- - A VectorStoreListFilesResponse containing the list of files. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreListFilesResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: List files in a vector store. - description: List files in a vector store. - parameters: - - name: vector_store_id - in: path - description: >- - The ID of the vector store to list files from. - required: true - schema: - type: string - - name: limit - in: query - description: >- - (Optional) A limit on the number of objects to be returned. Limit can - range between 1 and 100, and the default is 20. - required: false - schema: - type: integer - - name: order - in: query - description: >- - (Optional) Sort order by the `created_at` timestamp of the objects. `asc` - for ascending order and `desc` for descending order. - required: false - schema: - type: string - - name: after - in: query - description: >- - (Optional) A cursor for use in pagination. `after` is an object ID that - defines your place in the list. - required: false - schema: - type: string - - name: before - in: query - description: >- - (Optional) A cursor for use in pagination. `before` is an object ID that - defines your place in the list. - required: false - schema: - type: string - - name: filter - in: query - description: >- - (Optional) Filter by file status to only return files with the specified - status. - required: false - schema: - $ref: '#/components/schemas/VectorStoreFileStatus' - deprecated: false - post: - responses: - '200': - description: >- - A VectorStoreFileObject representing the attached file. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreFileObject' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: Attach a file to a vector store. - description: Attach a file to a vector store. - parameters: - - name: vector_store_id - in: path - description: >- - The ID of the vector store to attach the file to. - required: true - schema: - type: string + - Safety + summary: Run Moderation + description: |- + Create moderation. + + Classifies if text and/or image inputs are potentially harmful. + operationId: run_moderation_v1_moderations_post requestBody: content: application/json: schema: - $ref: '#/components/schemas/OpenaiAttachFileToVectorStoreRequest' + $ref: '#/components/schemas/_moderations_Request' required: true - deprecated: false - /v1/vector_stores/{vector_store_id}/files/{file_id}: - get: responses: '200': - description: >- - A VectorStoreFileObject representing the file. + description: A moderation object. content: application/json: schema: - $ref: '#/components/schemas/VectorStoreFileObject' + $ref: '#/components/schemas/ModerationObject' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: Retrieves a vector store file. - description: Retrieves a vector store file. - parameters: - - name: vector_store_id - in: path - description: >- - The ID of the vector store containing the file to retrieve. - required: true - schema: - type: string - - name: file_id - in: path - description: The ID of the file to retrieve. - required: true - schema: - type: string - deprecated: false + /v1/safety/run-shield: post: - responses: - '200': - description: >- - A VectorStoreFileObject representing the updated file. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreFileObject' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - - VectorIO - summary: Updates a vector store file. - description: Updates a vector store file. - parameters: - - name: vector_store_id - in: path - description: >- - The ID of the vector store containing the file to update. - required: true - schema: - type: string - - name: file_id - in: path - description: The ID of the file to update. - required: true - schema: - type: string + - Safety + summary: Run Shield + description: |- + Run shield. + + Run a shield. + operationId: run_shield_v1_safety_run_shield_post requestBody: content: application/json: schema: - $ref: '#/components/schemas/OpenaiUpdateVectorStoreFileRequest' + $ref: '#/components/schemas/_safety_run_shield_Request' required: true - deprecated: false + responses: + '200': + description: A RunShieldResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/RunShieldResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/shields/{identifier}: + get: + tags: + - Shields + summary: Get Shield + description: Get a shield by its identifier. + operationId: get_shield_v1_shields__identifier__get + responses: + '200': + description: A Shield. + content: + application/json: + schema: + $ref: '#/components/schemas/Shield' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: identifier + in: path + required: true + schema: + type: string + description: 'Path parameter: identifier' delete: + tags: + - Shields + summary: Unregister Shield + description: Unregister a shield. + operationId: unregister_shield_v1_shields__identifier__delete responses: '200': - description: >- - A VectorStoreFileDeleteResponse indicating the deletion status. + description: Successful Response content: application/json: - schema: - $ref: '#/components/schemas/VectorStoreFileDeleteResponse' + schema: {} '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - VectorIO - summary: Delete a vector store file. - description: Delete a vector store file. parameters: - - name: vector_store_id - in: path - description: >- - The ID of the vector store containing the file to delete. - required: true - schema: - type: string - - name: file_id - in: path - description: The ID of the file to delete. - required: true - schema: - type: string - deprecated: false - /v1/vector_stores/{vector_store_id}/files/{file_id}/content: + - name: identifier + in: path + required: true + schema: + type: string + description: 'Path parameter: identifier' + /v1/shields: get: + tags: + - Shields + summary: List Shields + description: List all shields. + operationId: list_shields_v1_shields_get responses: '200': description: >- @@ -2923,15 +3339,18 @@ paths: schema: $ref: '#/components/schemas/VectorStoreFileContentResponse' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' +<<<<<<< HEAD tags: - VectorIO summary: >- @@ -2968,112 +3387,120 @@ paths: $ref: '#/components/schemas/bool' deprecated: false /v1/vector_stores/{vector_store_id}/search: +======= +>>>>>>> a84647350 (chore: use Pydantic to generate OpenAPI schema) post: - responses: - '200': - description: >- - A VectorStoreSearchResponse containing the search results. - content: - application/json: - schema: - $ref: '#/components/schemas/VectorStoreSearchResponsePage' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - - VectorIO - summary: Search for chunks in a vector store. - description: >- - Search for chunks in a vector store. - - Searches a vector store for relevant chunks based on a query and optional - file attribute filters. - parameters: - - name: vector_store_id - in: path - description: The ID of the vector store to search. - required: true - schema: - type: string + - Shields + summary: Register Shield + description: Register a shield. + operationId: register_shield_v1_shields_post requestBody: content: application/json: schema: - $ref: '#/components/schemas/OpenaiSearchVectorStoreRequest' + $ref: '#/components/schemas/_shields_Request' required: true - deprecated: false - /v1/version: - get: responses: '200': - description: >- - Version information containing the service version number. + description: A Shield. content: application/json: schema: - $ref: '#/components/schemas/VersionInfo' + $ref: '#/components/schemas/Shield' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - Inspect - summary: Get version. - description: >- - Get version. - - Get the version of the service. - parameters: [] - deprecated: false /v1beta/datasetio/append-rows/{dataset_id}: post: - responses: - '200': - description: OK - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - - DatasetIO - summary: Append rows to a dataset. + - Datasetio + summary: Append Rows description: Append rows to a dataset. - parameters: - - name: dataset_id - in: path - description: >- - The ID of the dataset to append the rows to. - required: true - schema: - type: string + operationId: append_rows_v1beta_datasetio_append_rows__dataset_id__post requestBody: content: application/json: schema: - $ref: '#/components/schemas/AppendRowsRequest' + items: + additionalProperties: true + type: object + type: array + title: Rows required: true - deprecated: false + responses: + '200': + description: Successful Response + content: + application/json: + schema: {} + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: dataset_id + in: path + required: true + schema: + type: string + description: 'Path parameter: dataset_id' /v1beta/datasetio/iterrows/{dataset_id}: get: + tags: + - Datasetio + summary: Iterrows + description: |- + Get a paginated list of rows from a dataset. + + Uses offset-based pagination where: + - start_index: The starting index (0-based). If None, starts from beginning. + - limit: Number of items to return. If None or -1, returns all items. + + The response includes: + - data: List of items for the current page. + - has_more: Whether there are more items available after this set. + operationId: iterrows_v1beta_datasetio_iterrows__dataset_id__get + parameters: + - name: limit + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + title: Limit + - name: start_index + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + title: Start Index + - name: dataset_id + in: path + required: true + schema: + type: string + description: 'Path parameter: dataset_id' responses: '200': description: A PaginatedResponse. @@ -3083,81 +3510,23 @@ paths: $ref: '#/components/schemas/PaginatedResponse' '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' - tags: - - DatasetIO - summary: >- - Get a paginated list of rows from a dataset. - description: >- - Get a paginated list of rows from a dataset. - - Uses offset-based pagination where: - - - start_index: The starting index (0-based). If None, starts from beginning. - - - limit: Number of items to return. If None or -1, returns all items. - - - The response includes: - - - data: List of items for the current page. - - - has_more: Whether there are more items available after this set. - parameters: - - name: dataset_id - in: path - description: >- - The ID of the dataset to get the rows from. - required: true - schema: - type: string - - name: start_index - in: query - description: >- - Index into dataset for the first row to get. Get all rows if None. - required: false - schema: - type: integer - - name: limit - in: query - description: The number of rows to get. - required: false - schema: - type: integer - deprecated: false - /v1beta/datasets: + description: Default Response + /v1beta/datasets/{dataset_id}: get: - responses: - '200': - description: A ListDatasetsResponse. - content: - application/json: - schema: - $ref: '#/components/schemas/ListDatasetsResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - - Datasets - summary: List all datasets. - description: List all datasets. - parameters: [] - deprecated: false - post: + - Datasets + summary: Get Dataset + description: Get a dataset by its ID. + operationId: get_dataset_v1beta_datasets__dataset_id__get responses: '200': description: A Dataset. @@ -3166,25 +3535,92 @@ paths: schema: $ref: '#/components/schemas/Dataset' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' + parameters: + - name: dataset_id + in: path + required: true + schema: + type: string + description: 'Path parameter: dataset_id' + delete: tags: - - Datasets - summary: Register a new dataset. + - Datasets + summary: Unregister Dataset + description: Unregister a dataset by its ID. + operationId: unregister_dataset_v1beta_datasets__dataset_id__delete + responses: + '200': + description: Successful Response + content: + application/json: + schema: {} + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: dataset_id + in: path + required: true + schema: + type: string + description: 'Path parameter: dataset_id' + /v1beta/datasets: + get: + tags: + - Datasets + summary: List Datasets + description: List all datasets. + operationId: list_datasets_v1beta_datasets_get + responses: + '200': + description: A ListDatasetsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListDatasetsResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + post: + tags: + - Datasets + summary: Register Dataset description: Register a new dataset. - parameters: [] + operationId: register_dataset_v1beta_datasets_post requestBody: content: application/json: schema: - $ref: '#/components/schemas/RegisterDatasetRequest' + $ref: '#/components/schemas/_datasets_Request' required: true deprecated: true /v1beta/datasets/{dataset_id}: @@ -3197,45 +3633,233 @@ paths: schema: $ref: '#/components/schemas/Dataset' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' + /v1/scoring/score: + post: tags: - - Datasets - summary: Get a dataset by its ID. - description: Get a dataset by its ID. - parameters: - - name: dataset_id - in: path - description: The ID of the dataset to get. - required: true - schema: - type: string - deprecated: false - delete: + - Scoring + summary: Score + description: Score a list of rows. + operationId: score_v1_scoring_score_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_scoring_score_Request' + required: true responses: '200': - description: OK + description: A ScoreResponse object containing rows and aggregated results. + content: + application/json: + schema: + $ref: '#/components/schemas/ScoreResponse' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/scoring/score-batch: + post: + tags: + - Scoring + summary: Score Batch + description: Score a batch of rows. + operationId: score_batch_v1_scoring_score_batch_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_scoring_score_batch_Request' + required: true + responses: + '200': + description: A ScoreBatchResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ScoreBatchResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/scoring-functions/{scoring_fn_id}: + get: + tags: + - Scoring Functions + summary: Get Scoring Function + description: Get a scoring function by its ID. + operationId: get_scoring_function_v1_scoring_functions__scoring_fn_id__get + responses: + '200': + description: A ScoringFn. + content: + application/json: + schema: + $ref: '#/components/schemas/ScoringFn' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: scoring_fn_id + in: path + required: true + schema: + type: string + description: 'Path parameter: scoring_fn_id' + delete: + tags: + - Scoring Functions + summary: Unregister Scoring Function + description: Unregister a scoring function. + operationId: unregister_scoring_function_v1_scoring_functions__scoring_fn_id__delete + responses: + '200': + description: Successful Response + content: + application/json: + schema: {} + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: scoring_fn_id + in: path + required: true + schema: + type: string + description: 'Path parameter: scoring_fn_id' + /v1/scoring-functions: + get: + tags: + - Scoring Functions + summary: List Scoring Functions + description: List all scoring functions. + operationId: list_scoring_functions_v1_scoring_functions_get + responses: + '200': + description: A ListScoringFunctionsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListScoringFunctionsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' + description: Default Response + post: tags: - - Datasets - summary: Unregister a dataset by its ID. - description: Unregister a dataset by its ID. + - Scoring Functions + summary: Register Scoring Function + description: Register a scoring function. + operationId: register_scoring_function_v1_scoring_functions_post + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/Body_register_scoring_function_v1_scoring_functions_post' + responses: + '200': + description: Successful Response + content: + application/json: + schema: {} + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1alpha/eval/benchmarks/{benchmark_id}/evaluations: + post: + tags: + - Eval + summary: Evaluate Rows + description: Evaluate a list of rows on a benchmark. + operationId: evaluate_rows_v1alpha_eval_benchmarks__benchmark_id__evaluations_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_eval_benchmarks_benchmark_id_evaluations_Request' + required: true + responses: + '200': + description: EvaluateResponse object containing generations and scores. + content: + application/json: + schema: + $ref: '#/components/schemas/EvaluateResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' parameters: - name: dataset_id in: path @@ -3246,6 +3870,11 @@ paths: deprecated: true /v1alpha/eval/benchmarks: get: + tags: + - Benchmarks + summary: List Benchmarks + description: List all benchmarks. + operationId: list_benchmarks_v1alpha_eval_benchmarks_get responses: '200': description: A ListBenchmarksResponse. @@ -3255,40 +3884,24 @@ paths: $ref: '#/components/schemas/ListBenchmarksResponse' '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' - tags: - - Benchmarks - summary: List all benchmarks. - description: List all benchmarks. - parameters: [] - deprecated: false + description: Default Response post: - responses: - '200': - description: OK - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - - Benchmarks - summary: Register a benchmark. + - Benchmarks + summary: Register Benchmark description: Register a benchmark. - parameters: [] + operationId: register_benchmark_v1alpha_eval_benchmarks_post requestBody: + required: true content: application/json: schema: @@ -3299,19 +3912,19 @@ paths: get: responses: '200': - description: A Benchmark. + description: Successful Response content: application/json: - schema: - $ref: '#/components/schemas/Benchmark' + schema: {} '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' tags: @@ -3354,227 +3967,50 @@ paths: deprecated: true /v1alpha/eval/benchmarks/{benchmark_id}/evaluations: post: - responses: - '200': - description: >- - EvaluateResponse object containing generations and scores. - content: - application/json: - schema: - $ref: '#/components/schemas/EvaluateResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' tags: - - Eval - summary: Evaluate a list of rows on a benchmark. - description: Evaluate a list of rows on a benchmark. + - Post Training + summary: Cancel Training Job + description: Cancel a training job. + operationId: cancel_training_job_v1alpha_post_training_job_cancel_post parameters: - - name: benchmark_id - in: path - description: >- - The ID of the benchmark to run the evaluation on. - required: true - schema: - type: string - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/EvaluateRowsRequest' + - name: job_uuid + in: query required: true - deprecated: false - /v1alpha/eval/benchmarks/{benchmark_id}/jobs: - post: + schema: + type: string + title: Job Uuid responses: '200': - description: >- - The job that was created to run the evaluation. + description: Successful Response content: application/json: - schema: - $ref: '#/components/schemas/Job' + schema: {} '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' - tags: - - Eval - summary: Run an evaluation on a benchmark. - description: Run an evaluation on a benchmark. - parameters: - - name: benchmark_id - in: path - description: >- - The ID of the benchmark to run the evaluation on. - required: true - schema: - type: string - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/RunEvalRequest' - required: true - deprecated: false - /v1alpha/eval/benchmarks/{benchmark_id}/jobs/{job_id}: - get: - responses: - '200': - description: The status of the evaluation job. - content: - application/json: - schema: - $ref: '#/components/schemas/Job' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - Eval - summary: Get the status of a job. - description: Get the status of a job. - parameters: - - name: benchmark_id - in: path - description: >- - The ID of the benchmark to run the evaluation on. - required: true - schema: - type: string - - name: job_id - in: path - description: The ID of the job to get the status of. - required: true - schema: - type: string - deprecated: false - delete: - responses: - '200': - description: OK - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - Eval - summary: Cancel a job. - description: Cancel a job. - parameters: - - name: benchmark_id - in: path - description: >- - The ID of the benchmark to run the evaluation on. - required: true - schema: - type: string - - name: job_id - in: path - description: The ID of the job to cancel. - required: true - schema: - type: string - deprecated: false - /v1alpha/eval/benchmarks/{benchmark_id}/jobs/{job_id}/result: - get: - responses: - '200': - description: The result of the job. - content: - application/json: - schema: - $ref: '#/components/schemas/EvaluateResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - Eval - summary: Get the result of a job. - description: Get the result of a job. - parameters: - - name: benchmark_id - in: path - description: >- - The ID of the benchmark to run the evaluation on. - required: true - schema: - type: string - - name: job_id - in: path - description: The ID of the job to get the result of. - required: true - schema: - type: string - deprecated: false - /v1alpha/inference/rerank: - post: - responses: - '200': - description: >- - RerankResponse with indices sorted by relevance score (descending). - content: - application/json: - schema: - $ref: '#/components/schemas/RerankResponse' - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - Inference - summary: >- - Rerank a list of documents based on their relevance to a query. - description: >- - Rerank a list of documents based on their relevance to a query. - parameters: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/RerankRequest' - required: true - deprecated: false + description: Default Response /v1alpha/post-training/job/artifacts: get: + tags: + - Post Training + summary: Get Training Job Artifacts + description: Get the artifacts of a training job. + operationId: get_training_job_artifacts_v1alpha_post_training_job_artifacts_get + parameters: + - name: job_uuid + in: query + required: true + schema: + type: string + title: Job Uuid responses: '200': description: A PostTrainingJobArtifactsResponse. @@ -3584,56 +4020,30 @@ paths: $ref: '#/components/schemas/PostTrainingJobArtifactsResponse' '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' - tags: - - PostTraining (Coming Soon) - summary: Get the artifacts of a training job. - description: Get the artifacts of a training job. - parameters: - - name: job_uuid - in: query - description: >- - The UUID of the job to get the artifacts of. - required: true - schema: - type: string - deprecated: false - /v1alpha/post-training/job/cancel: - post: - responses: - '200': - description: OK - '400': - $ref: '#/components/responses/BadRequest400' - '429': - $ref: >- - #/components/responses/TooManyRequests429 - '500': - $ref: >- - #/components/responses/InternalServerError500 - default: - $ref: '#/components/responses/DefaultError' - tags: - - PostTraining (Coming Soon) - summary: Cancel a training job. - description: Cancel a training job. - parameters: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/CancelTrainingJobRequest' - required: true - deprecated: false + description: Default Response /v1alpha/post-training/job/status: get: + tags: + - Post Training + summary: Get Training Job Status + description: Get the status of a training job. + operationId: get_training_job_status_v1alpha_post_training_job_status_get + parameters: + - name: job_uuid + in: query + required: true + schema: + type: string + title: Job Uuid responses: '200': description: A PostTrainingJobStatusResponse. @@ -3643,29 +4053,23 @@ paths: $ref: '#/components/schemas/PostTrainingJobStatusResponse' '400': $ref: '#/components/responses/BadRequest400' + description: Bad Request '429': - $ref: >- - #/components/responses/TooManyRequests429 + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests '500': - $ref: >- - #/components/responses/InternalServerError500 + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' - tags: - - PostTraining (Coming Soon) - summary: Get the status of a training job. - description: Get the status of a training job. - parameters: - - name: job_uuid - in: query - description: >- - The UUID of the job to get the status of. - required: true - schema: - type: string - deprecated: false + description: Default Response /v1alpha/post-training/jobs: get: + tags: + - Post Training + summary: Get Training Jobs + description: Get all training jobs. + operationId: get_training_jobs_v1alpha_post_training_jobs_get responses: '200': description: A ListPostTrainingJobsResponse. @@ -3674,23 +4078,30 @@ paths: schema: $ref: '#/components/schemas/ListPostTrainingJobsResponse' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - PostTraining (Coming Soon) - summary: Get all training jobs. - description: Get all training jobs. - parameters: [] - deprecated: false /v1alpha/post-training/preference-optimize: post: + tags: + - Post Training + summary: Preference Optimize + description: Run preference optimization of a model. + operationId: preference_optimize_v1alpha_post_training_preference_optimize_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_post_training_preference_optimize_Request' + required: true responses: '200': description: A PostTrainingJob. @@ -3699,29 +4110,30 @@ paths: schema: $ref: '#/components/schemas/PostTrainingJob' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' default: + description: Default Response $ref: '#/components/responses/DefaultError' - tags: - - PostTraining (Coming Soon) - summary: Run preference optimization of a model. - description: Run preference optimization of a model. - parameters: [] - requestBody: - content: - application/json: - schema: - $ref: '#/components/schemas/PreferenceOptimizeRequest' - required: true - deprecated: false /v1alpha/post-training/supervised-fine-tune: post: + tags: + - Post Training + summary: Supervised Fine Tune + description: Run supervised fine-tuning of a model. + operationId: supervised_fine_tune_v1alpha_post_training_supervised_fine_tune_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_post_training_supervised_fine_tune_Request' + required: true responses: '200': description: A PostTrainingJob. @@ -3730,1473 +4142,8326 @@ paths: schema: $ref: '#/components/schemas/PostTrainingJob' '400': + description: Bad Request $ref: '#/components/responses/BadRequest400' '429': - $ref: >- - #/components/responses/TooManyRequests429 + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' '500': - $ref: >- - #/components/responses/InternalServerError500 + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/tools/{tool_name}: + get: + tags: + - Tool Groups + summary: Get Tool + description: Get a tool by its name. + operationId: get_tool_v1_tools__tool_name__get + responses: + '200': + description: A ToolDef. + content: + application/json: + schema: + $ref: '#/components/schemas/ToolDef' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: tool_name + in: path + required: true + schema: + type: string + description: 'Path parameter: tool_name' + /v1/toolgroups/{toolgroup_id}: + get: + tags: + - Tool Groups + summary: Get Tool Group + description: Get a tool group by its ID. + operationId: get_tool_group_v1_toolgroups__toolgroup_id__get + responses: + '200': + description: A ToolGroup. + content: + application/json: + schema: + $ref: '#/components/schemas/ToolGroup' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: toolgroup_id + in: path + required: true + schema: + type: string + description: 'Path parameter: toolgroup_id' + delete: + tags: + - Tool Groups + summary: Unregister Toolgroup + description: Unregister a tool group. + operationId: unregister_toolgroup_v1_toolgroups__toolgroup_id__delete + responses: + '200': + description: Successful Response + content: + application/json: + schema: {} + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: toolgroup_id + in: path + required: true + schema: + type: string + description: 'Path parameter: toolgroup_id' + /v1/toolgroups: + get: + tags: + - Tool Groups + summary: List Tool Groups + description: List tool groups with optional provider. + operationId: list_tool_groups_v1_toolgroups_get + responses: + '200': + description: A ListToolGroupsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListToolGroupsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error default: $ref: '#/components/responses/DefaultError' + description: Default Response + post: tags: - - PostTraining (Coming Soon) - summary: Run supervised fine-tuning of a model. - description: Run supervised fine-tuning of a model. - parameters: [] + - Tool Groups + summary: Register Tool Group + description: Register a tool group. + operationId: register_tool_group_v1_toolgroups_post requestBody: content: application/json: schema: - $ref: '#/components/schemas/SupervisedFineTuneRequest' + $ref: '#/components/schemas/Body_register_tool_group_v1_toolgroups_post' + responses: + '200': + description: Successful Response + content: + application/json: + schema: {} + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/tools: + get: + tags: + - Tool Groups + summary: List Tools + description: List tools with optional tool group. + operationId: list_tools_v1_tools_get + parameters: + - name: toolgroup_id + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: Toolgroup Id + responses: + '200': + description: A ListToolDefsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListToolDefsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/tool-runtime/invoke: + post: + tags: + - Tool Runtime + summary: Invoke Tool + description: Run a tool with the given arguments. + operationId: invoke_tool_v1_tool_runtime_invoke_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_tool_runtime_invoke_Request' required: true - deprecated: false -jsonSchemaDialect: >- - https://json-schema.org/draft/2020-12/schema + responses: + '200': + description: A ToolInvocationResult. + content: + application/json: + schema: + $ref: '#/components/schemas/ToolInvocationResult' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/tool-runtime/list-tools: + get: + tags: + - Tool Runtime + summary: List Runtime Tools + description: List all tools in the runtime. + operationId: list_runtime_tools_v1_tool_runtime_list_tools_get + parameters: + - name: tool_group_id + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: Tool Group Id + requestBody: + content: + application/json: + schema: + anyOf: + - $ref: '#/components/schemas/URL' + - type: 'null' + title: Mcp Endpoint + responses: + '200': + description: A ListToolDefsResponse. + content: + application/json: + schema: + $ref: '#/components/schemas/ListToolDefsResponse' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/files/{file_id}: + get: + tags: + - Files + summary: Openai Retrieve File + description: |- + Retrieve file. + + Returns information about a specific file. + operationId: openai_retrieve_file_v1_files__file_id__get + responses: + '200': + description: An OpenAIFileObject containing file information. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIFileObject' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: file_id + in: path + required: true + schema: + type: string + description: 'Path parameter: file_id' + delete: + tags: + - Files + summary: Openai Delete File + description: Delete file. + operationId: openai_delete_file_v1_files__file_id__delete + responses: + '200': + description: An OpenAIFileDeleteResponse indicating successful deletion. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIFileDeleteResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: file_id + in: path + required: true + schema: + type: string + description: 'Path parameter: file_id' + /v1/files: + get: + tags: + - Files + summary: Openai List Files + description: |- + List files. + + Returns a list of files that belong to the user's organization. + operationId: openai_list_files_v1_files_get + parameters: + - name: after + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: After + - name: limit + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + default: 10000 + title: Limit + - name: order + in: query + required: false + schema: + anyOf: + - $ref: '#/components/schemas/Order' + - type: 'null' + default: desc + title: Order + - name: purpose + in: query + required: false + schema: + anyOf: + - $ref: '#/components/schemas/OpenAIFilePurpose' + - type: 'null' + title: Purpose + responses: + '200': + description: An ListOpenAIFileResponse containing the list of files. + content: + application/json: + schema: + $ref: '#/components/schemas/ListOpenAIFileResponse' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + post: + tags: + - Files + summary: Openai Upload File + description: |- + Upload file. + + Upload a file that can be used across various endpoints. + + The file upload should be a multipart form request with: + - file: The File object (not file name) to be uploaded. + - purpose: The intended purpose of the uploaded file. + - expires_after: Optional form values describing expiration for the file. + operationId: openai_upload_file_v1_files_post + requestBody: + required: true + content: + multipart/form-data: + schema: + $ref: '#/components/schemas/Body_openai_upload_file_v1_files_post' + responses: + '200': + description: An OpenAIFileObject representing the uploaded file. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIFileObject' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/files/{file_id}/content: + get: + tags: + - Files + summary: Openai Retrieve File Content + description: |- + Retrieve file content. + + Returns the contents of the specified file. + operationId: openai_retrieve_file_content_v1_files__file_id__content_get + responses: + '200': + description: The raw file content as a binary response. + content: + application/json: + schema: {} + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: file_id + in: path + required: true + schema: + type: string + description: 'Path parameter: file_id' + /v1/prompts: + get: + tags: + - Prompts + summary: List Prompts + description: List all prompts. + operationId: list_prompts_v1_prompts_get + responses: + '200': + description: A ListPromptsResponse containing all prompts. + content: + application/json: + schema: + $ref: '#/components/schemas/ListPromptsResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + post: + tags: + - Prompts + summary: Create Prompt + description: |- + Create prompt. + + Create a new prompt. + operationId: create_prompt_v1_prompts_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_prompts_Request' + required: true + responses: + '200': + description: The created Prompt resource. + content: + application/json: + schema: + $ref: '#/components/schemas/Prompt' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/prompts/{prompt_id}: + delete: + tags: + - Prompts + summary: Delete Prompt + description: |- + Delete prompt. + + Delete a prompt. + operationId: delete_prompt_v1_prompts__prompt_id__delete + responses: + '200': + description: Successful Response + content: + application/json: + schema: {} + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + parameters: + - name: prompt_id + in: path + required: true + schema: + type: string + description: 'Path parameter: prompt_id' + get: + tags: + - Prompts + summary: Get Prompt + description: |- + Get prompt. + + Get a prompt by its identifier and optional version. + operationId: get_prompt_v1_prompts__prompt_id__get + parameters: + - name: version + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + title: Version + - name: prompt_id + in: path + required: true + schema: + type: string + description: 'Path parameter: prompt_id' + responses: + '200': + description: A Prompt resource. + content: + application/json: + schema: + $ref: '#/components/schemas/Prompt' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + post: + tags: + - Prompts + summary: Update Prompt + description: |- + Update prompt. + + Update an existing prompt (increments version). + operationId: update_prompt_v1_prompts__prompt_id__post + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/_prompts_prompt_id_Request' + responses: + '200': + description: The updated Prompt resource with incremented version. + content: + application/json: + schema: + $ref: '#/components/schemas/Prompt' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + parameters: + - name: prompt_id + in: path + required: true + schema: + type: string + description: 'Path parameter: prompt_id' + /v1/prompts/{prompt_id}/versions: + get: + tags: + - Prompts + summary: List Prompt Versions + description: |- + List prompt versions. + + List all versions of a specific prompt. + operationId: list_prompt_versions_v1_prompts__prompt_id__versions_get + responses: + '200': + description: A ListPromptsResponse containing all versions of the prompt. + content: + application/json: + schema: + $ref: '#/components/schemas/ListPromptsResponse' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: prompt_id + in: path + required: true + schema: + type: string + description: 'Path parameter: prompt_id' + /v1/prompts/{prompt_id}/set-default-version: + post: + tags: + - Prompts + summary: Set Default Version + description: |- + Set prompt version. + + Set which version of a prompt should be the default in get_prompt (latest). + operationId: set_default_version_v1_prompts__prompt_id__set_default_version_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_prompts_prompt_id_set_default_version_Request' + required: true + responses: + '200': + description: The prompt with the specified version now set as default. + content: + application/json: + schema: + $ref: '#/components/schemas/Prompt' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: prompt_id + in: path + required: true + schema: + type: string + description: 'Path parameter: prompt_id' + /v1/conversations/{conversation_id}/items: + post: + tags: + - Conversations + summary: Add Items + description: |- + Create items. + + Create items in the conversation. + operationId: add_items_v1_conversations__conversation_id__items_post + requestBody: + required: true + content: + application/json: + schema: + $ref: '#/components/schemas/_conversations_conversation_id_items_Request' + responses: + '200': + description: List of created items. + content: + application/json: + schema: + $ref: '#/components/schemas/ConversationItemList' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + parameters: + - name: conversation_id + in: path + required: true + schema: + type: string + description: 'Path parameter: conversation_id' + get: + tags: + - Conversations + summary: List Items + description: |- + List items. + + List items in the conversation. + operationId: list_items_v1_conversations__conversation_id__items_get + parameters: + - name: after + in: query + required: false + schema: + anyOf: + - type: string + - type: 'null' + title: After + - name: limit + in: query + required: false + schema: + anyOf: + - type: integer + - type: 'null' + title: Limit + - name: order + in: query + required: false + schema: + anyOf: + - enum: + - asc + - desc + type: string + - type: 'null' + title: Order + - name: conversation_id + in: path + required: true + schema: + type: string + description: 'Path parameter: conversation_id' + requestBody: + content: + application/json: + schema: + anyOf: + - type: array + items: + $ref: '#/components/schemas/ConversationItemInclude' + - type: 'null' + title: Include + responses: + '200': + description: List of conversation items. + content: + application/json: + schema: + $ref: '#/components/schemas/ConversationItemList' + '400': + $ref: '#/components/responses/BadRequest400' + description: Bad Request + '429': + $ref: '#/components/responses/TooManyRequests429' + description: Too Many Requests + '500': + $ref: '#/components/responses/InternalServerError500' + description: Internal Server Error + default: + $ref: '#/components/responses/DefaultError' + description: Default Response + /v1/conversations: + post: + tags: + - Conversations + summary: Create Conversation + description: |- + Create a conversation. + + Create a conversation. + operationId: create_conversation_v1_conversations_post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_conversations_Request' + required: true + responses: + '200': + description: The created conversation object. + content: + application/json: + schema: + $ref: '#/components/schemas/Conversation' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + /v1/conversations/{conversation_id}: + get: + tags: + - Conversations + summary: Get Conversation + description: |- + Retrieve a conversation. + + Get a conversation with the given ID. + operationId: get_conversation_v1_conversations__conversation_id__get + responses: + '200': + description: The conversation object. + content: + application/json: + schema: + $ref: '#/components/schemas/Conversation' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: conversation_id + in: path + required: true + schema: + type: string + description: 'Path parameter: conversation_id' + post: + tags: + - Conversations + summary: Update Conversation + description: |- + Update a conversation. + + Update a conversation's metadata with the given ID. + operationId: update_conversation_v1_conversations__conversation_id__post + requestBody: + content: + application/json: + schema: + $ref: '#/components/schemas/_conversations_conversation_id_Request' + required: true + responses: + '200': + description: The updated conversation object. + content: + application/json: + schema: + $ref: '#/components/schemas/Conversation' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: conversation_id + in: path + required: true + schema: + type: string + description: 'Path parameter: conversation_id' + delete: + tags: + - Conversations + summary: Openai Delete Conversation + description: |- + Delete a conversation. + + Delete a conversation with the given ID. + operationId: openai_delete_conversation_v1_conversations__conversation_id__delete + responses: + '200': + description: The deleted conversation resource. + content: + application/json: + schema: + $ref: '#/components/schemas/ConversationDeletedResource' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: conversation_id + in: path + required: true + schema: + type: string + description: 'Path parameter: conversation_id' + /v1/conversations/{conversation_id}/items/{item_id}: + get: + tags: + - Conversations + summary: Retrieve + description: |- + Retrieve an item. + + Retrieve a conversation item. + operationId: retrieve_v1_conversations__conversation_id__items__item_id__get + responses: + '200': + description: The conversation item. + content: + application/json: + schema: + $ref: '#/components/schemas/OpenAIResponseMessage' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: conversation_id + in: path + required: true + schema: + type: string + description: 'Path parameter: conversation_id' + - name: item_id + in: path + required: true + schema: + type: string + description: 'Path parameter: item_id' + delete: + tags: + - Conversations + summary: Openai Delete Conversation Item + description: |- + Delete an item. + + Delete a conversation item. + operationId: openai_delete_conversation_item_v1_conversations__conversation_id__items__item_id__delete + responses: + '200': + description: The deleted item resource. + content: + application/json: + schema: + $ref: '#/components/schemas/ConversationItemDeletedResource' + '400': + description: Bad Request + $ref: '#/components/responses/BadRequest400' + '429': + description: Too Many Requests + $ref: '#/components/responses/TooManyRequests429' + '500': + description: Internal Server Error + $ref: '#/components/responses/InternalServerError500' + default: + description: Default Response + $ref: '#/components/responses/DefaultError' + parameters: + - name: conversation_id + in: path + required: true + schema: + type: string + description: 'Path parameter: conversation_id' + - name: item_id + in: path + required: true + schema: + type: string + description: 'Path parameter: item_id' components: schemas: - Error: - type: object + AggregationFunctionType: + type: string + enum: + - average + - weighted_average + - median + - categorical_count + - accuracy + title: AggregationFunctionType + description: Types of aggregation functions for scoring results. + AllowedToolsFilter: properties: - status: - type: integer - description: HTTP status code - title: - type: string - description: >- - Error title, a short summary of the error which is invariant for an error - type - detail: - type: string - description: >- - Error detail, a longer human-readable description of the error - instance: - type: string - description: >- - (Optional) A URL which can be used to retrieve more information about - the specific occurrence of the error - additionalProperties: false - required: - - status - - title - - detail - title: Error - description: >- - Error response from the API. Roughly follows RFC 7807. - ListBatchesResponse: + tool_names: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: Tool Names type: object + title: AllowedToolsFilter + description: Filter configuration for restricting which MCP tools can be used. + ArrayType: properties: - object: + type: type: string - const: list - default: list - data: - type: array + const: array + title: Type + default: array + type: object + title: ArrayType + description: Parameter type for array values. + BasicScoringFnParams: + properties: + type: + type: string + const: basic + title: Type + default: basic + aggregation_functions: items: - type: object - properties: - id: - type: string - completion_window: - type: string - created_at: - type: integer - endpoint: - type: string - input_file_id: - type: string - object: - type: string - const: batch - status: - type: string - enum: - - validating - - failed - - in_progress - - finalizing - - completed - - expired - - cancelling - - cancelled - cancelled_at: - type: integer - cancelling_at: - type: integer - completed_at: - type: integer - error_file_id: - type: string - errors: - type: object - properties: - data: - type: array - items: - type: object - properties: - code: - type: string - line: - type: integer - message: - type: string - param: - type: string - additionalProperties: false - title: BatchError - object: - type: string - additionalProperties: false - title: Errors - expired_at: - type: integer - expires_at: - type: integer - failed_at: - type: integer - finalizing_at: - type: integer - in_progress_at: - type: integer - metadata: - type: object - additionalProperties: - type: string - model: - type: string - output_file_id: - type: string - request_counts: - type: object - properties: - completed: - type: integer - failed: - type: integer - total: - type: integer - additionalProperties: false - required: - - completed - - failed - - total - title: BatchRequestCounts - usage: - type: object - properties: - input_tokens: - type: integer - input_tokens_details: - type: object - properties: - cached_tokens: - type: integer - additionalProperties: false - required: - - cached_tokens - title: InputTokensDetails - output_tokens: - type: integer - output_tokens_details: - type: object - properties: - reasoning_tokens: - type: integer - additionalProperties: false - required: - - reasoning_tokens - title: OutputTokensDetails - total_tokens: - type: integer - additionalProperties: false - required: - - input_tokens - - input_tokens_details - - output_tokens - - output_tokens_details - - total_tokens - title: BatchUsage - additionalProperties: false - required: - - id - - completion_window - - created_at - - endpoint - - input_file_id - - object - - status - title: Batch - first_id: - type: string - last_id: - type: string - has_more: - type: boolean - default: false - additionalProperties: false - required: - - object - - data - - has_more - title: ListBatchesResponse - description: >- - Response containing a list of batch objects. - CreateBatchRequest: + $ref: '#/components/schemas/AggregationFunctionType' + type: array + title: Aggregation Functions + description: Aggregation functions to apply to the scores of each row type: object - properties: - input_file_id: - type: string - description: >- - The ID of an uploaded file containing requests for the batch. - endpoint: - type: string - description: >- - The endpoint to be used for all requests in the batch. - completion_window: - type: string - const: 24h - description: >- - The time window within which the batch should be processed. - metadata: - type: object - additionalProperties: - type: string - description: Optional metadata for the batch. - idempotency_key: - type: string - description: >- - Optional idempotency key. When provided, enables idempotent behavior. - additionalProperties: false - required: - - input_file_id - - endpoint - - completion_window - title: CreateBatchRequest + title: BasicScoringFnParams + description: Parameters for basic scoring function configuration. Batch: - type: object properties: id: type: string + title: Id completion_window: type: string + title: Completion Window created_at: type: integer + title: Created At endpoint: type: string + title: Endpoint input_file_id: type: string + title: Input File Id object: type: string const: batch + title: Object status: type: string enum: - - validating - - failed - - in_progress - - finalizing - - completed - - expired - - cancelling - - cancelled + - validating + - failed + - in_progress + - finalizing + - completed + - expired + - cancelling + - cancelled + title: Status cancelled_at: - type: integer + anyOf: + - type: integer + - type: 'null' + title: Cancelled At cancelling_at: - type: integer + anyOf: + - type: integer + - type: 'null' + title: Cancelling At completed_at: - type: integer + anyOf: + - type: integer + - type: 'null' + title: Completed At error_file_id: - type: string + anyOf: + - type: string + - type: 'null' + title: Error File Id errors: - type: object - properties: - data: - type: array - items: - type: object - properties: - code: - type: string - line: - type: integer - message: - type: string - param: - type: string - additionalProperties: false - title: BatchError - object: - type: string - additionalProperties: false - title: Errors + anyOf: + - $ref: '#/components/schemas/Errors' + - type: 'null' expired_at: - type: integer + anyOf: + - type: integer + - type: 'null' + title: Expired At expires_at: - type: integer + anyOf: + - type: integer + - type: 'null' + title: Expires At failed_at: - type: integer + anyOf: + - type: integer + - type: 'null' + title: Failed At finalizing_at: - type: integer + anyOf: + - type: integer + - type: 'null' + title: Finalizing At in_progress_at: - type: integer + anyOf: + - type: integer + - type: 'null' + title: In Progress At metadata: - type: object - additionalProperties: - type: string - model: - type: string - output_file_id: - type: string - request_counts: - type: object - properties: - completed: - type: integer - failed: - type: integer - total: - type: integer - additionalProperties: false - required: - - completed - - failed - - total - title: BatchRequestCounts - usage: - type: object - properties: - input_tokens: - type: integer - input_tokens_details: - type: object - properties: - cached_tokens: - type: integer - additionalProperties: false - required: - - cached_tokens - title: InputTokensDetails - output_tokens: - type: integer - output_tokens_details: - type: object - properties: - reasoning_tokens: - type: integer - additionalProperties: false - required: - - reasoning_tokens - title: OutputTokensDetails - total_tokens: - type: integer - additionalProperties: false - required: - - input_tokens - - input_tokens_details - - output_tokens - - output_tokens_details - - total_tokens - title: BatchUsage - additionalProperties: false - required: - - id - - completion_window - - created_at - - endpoint - - input_file_id - - object - - status - title: Batch - Order: - type: string - enum: - - asc - - desc - title: Order - description: Sort order for paginated responses. - ListOpenAIChatCompletionResponse: - type: object - properties: - data: - type: array - items: + anyOf: + - additionalProperties: + type: string type: object - properties: - id: - type: string - description: The ID of the chat completion - choices: - type: array - items: - $ref: '#/components/schemas/OpenAIChoice' - description: List of choices - object: - type: string - const: chat.completion - default: chat.completion - description: >- - The object type, which will be "chat.completion" - created: - type: integer - description: >- - The Unix timestamp in seconds when the chat completion was created - model: - type: string - description: >- - The model that was used to generate the chat completion - usage: - $ref: '#/components/schemas/OpenAIChatCompletionUsage' - description: >- - Token usage information for the completion - input_messages: - type: array - items: - $ref: '#/components/schemas/OpenAIMessageParam' - additionalProperties: false - required: - - id - - choices - - object - - created - - model - - input_messages - title: OpenAICompletionWithInputMessages - description: >- - List of chat completion objects with their input messages - has_more: - type: boolean - description: >- - Whether there are more completions available beyond this list - first_id: + - type: 'null' + title: Metadata + model: + anyOf: + - type: string + - type: 'null' + title: Model + output_file_id: + anyOf: + - type: string + - type: 'null' + title: Output File Id + request_counts: + anyOf: + - $ref: '#/components/schemas/BatchRequestCounts' + - type: 'null' + usage: + anyOf: + - $ref: '#/components/schemas/BatchUsage' + - type: 'null' + additionalProperties: true + type: object + required: + - id + - completion_window + - created_at + - endpoint + - input_file_id + - object + - status + title: Batch + BatchError: + properties: + code: + anyOf: + - type: string + - type: 'null' + title: Code + line: + anyOf: + - type: integer + - type: 'null' + title: Line + message: + anyOf: + - type: string + - type: 'null' + title: Message + param: + anyOf: + - type: string + - type: 'null' + title: Param + additionalProperties: true + type: object + title: BatchError + BatchRequestCounts: + properties: + completed: + type: integer + title: Completed + failed: + type: integer + title: Failed + total: + type: integer + title: Total + additionalProperties: true + type: object + required: + - completed + - failed + - total + title: BatchRequestCounts + BatchUsage: + properties: + input_tokens: + type: integer + title: Input Tokens + input_tokens_details: + $ref: '#/components/schemas/InputTokensDetails' + output_tokens: + type: integer + title: Output Tokens + output_tokens_details: + $ref: '#/components/schemas/OutputTokensDetails' + total_tokens: + type: integer + title: Total Tokens + additionalProperties: true + type: object + required: + - input_tokens + - input_tokens_details + - output_tokens + - output_tokens_details + - total_tokens + title: BatchUsage + Benchmark: + properties: + identifier: type: string - description: ID of the first completion in this list - last_id: + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: type: string - description: ID of the last completion in this list + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: benchmark + title: Type + default: benchmark + dataset_id: + type: string + title: Dataset Id + scoring_functions: + items: + type: string + type: array + title: Scoring Functions + metadata: + additionalProperties: true + type: object + title: Metadata + description: Metadata for this evaluation task + type: object + required: + - identifier + - provider_id + - dataset_id + - scoring_functions + title: Benchmark + description: A benchmark resource for evaluating model performance. + BenchmarkConfig: + properties: + eval_candidate: + $ref: '#/components/schemas/ModelCandidate' + scoring_params: + additionalProperties: + oneOf: + - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams' + - $ref: '#/components/schemas/RegexParserScoringFnParams' + - $ref: '#/components/schemas/BasicScoringFnParams' + discriminator: + propertyName: type + mapping: + basic: '#/components/schemas/BasicScoringFnParams' + llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams' + regex_parser: '#/components/schemas/RegexParserScoringFnParams' + type: object + title: Scoring Params + description: Map between scoring function id and parameters for each scoring function you want to run + num_examples: + anyOf: + - type: integer + - type: 'null' + title: Num Examples + description: Number of examples to evaluate (useful for testing), if not provided, all examples in the dataset will be evaluated + type: object + required: + - eval_candidate + title: BenchmarkConfig + description: A benchmark configuration for evaluation. + Body_openai_upload_file_v1_files_post: + properties: + file: + type: string + format: binary + title: File + purpose: + $ref: '#/components/schemas/OpenAIFilePurpose' + expires_after: + anyOf: + - $ref: '#/components/schemas/ExpiresAfter' + - type: 'null' + type: object + required: + - file + - purpose + title: Body_openai_upload_file_v1_files_post + Body_register_benchmark_v1alpha_eval_benchmarks_post: + properties: + scoring_functions: + items: + type: string + type: array + title: Scoring Functions + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + type: object + required: + - scoring_functions + title: Body_register_benchmark_v1alpha_eval_benchmarks_post + Body_register_scoring_function_v1_scoring_functions_post: + properties: + return_type: + anyOf: + - $ref: '#/components/schemas/StringType' + - $ref: '#/components/schemas/NumberType' + - $ref: '#/components/schemas/BooleanType' + - $ref: '#/components/schemas/ArrayType' + - $ref: '#/components/schemas/ObjectType' + - $ref: '#/components/schemas/JsonType' + - $ref: '#/components/schemas/UnionType' + - $ref: '#/components/schemas/ChatCompletionInputType' + - $ref: '#/components/schemas/CompletionInputType' + title: Return Type + params: + anyOf: + - oneOf: + - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams' + - $ref: '#/components/schemas/RegexParserScoringFnParams' + - $ref: '#/components/schemas/BasicScoringFnParams' + discriminator: + propertyName: type + mapping: + basic: '#/components/schemas/BasicScoringFnParams' + llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams' + regex_parser: '#/components/schemas/RegexParserScoringFnParams' + - type: 'null' + title: Params + type: object + required: + - return_type + title: Body_register_scoring_function_v1_scoring_functions_post + Body_register_tool_group_v1_toolgroups_post: + properties: + mcp_endpoint: + anyOf: + - $ref: '#/components/schemas/URL' + - type: 'null' + args: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Args + type: object + title: Body_register_tool_group_v1_toolgroups_post + BooleanType: + properties: + type: + type: string + const: boolean + title: Type + default: boolean + type: object + title: BooleanType + description: Parameter type for boolean values. + ChatCompletionInputType: + properties: + type: + type: string + const: chat_completion_input + title: Type + default: chat_completion_input + type: object + title: ChatCompletionInputType + description: Parameter type for chat completion input. + Chunk-Input: + properties: + content: + anyOf: + - type: string + - oneOf: + - $ref: '#/components/schemas/ImageContentItem-Input' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Input' + text: '#/components/schemas/TextContentItem' + - items: + oneOf: + - $ref: '#/components/schemas/ImageContentItem-Input' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Input' + text: '#/components/schemas/TextContentItem' + type: array + title: Content + chunk_id: + type: string + title: Chunk Id + metadata: + additionalProperties: true + type: object + title: Metadata + embedding: + anyOf: + - items: + type: number + type: array + - type: 'null' + title: Embedding + chunk_metadata: + anyOf: + - $ref: '#/components/schemas/ChunkMetadata' + - type: 'null' + type: object + required: + - content + - chunk_id + title: Chunk + description: A chunk of content that can be inserted into a vector database. + Chunk-Output: + properties: + content: + anyOf: + - type: string + - oneOf: + - $ref: '#/components/schemas/ImageContentItem-Output' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Output' + text: '#/components/schemas/TextContentItem' + - items: + oneOf: + - $ref: '#/components/schemas/ImageContentItem-Output' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Output' + text: '#/components/schemas/TextContentItem' + type: array + title: Content + chunk_id: + type: string + title: Chunk Id + metadata: + additionalProperties: true + type: object + title: Metadata + embedding: + anyOf: + - items: + type: number + type: array + - type: 'null' + title: Embedding + chunk_metadata: + anyOf: + - $ref: '#/components/schemas/ChunkMetadata' + - type: 'null' + type: object + required: + - content + - chunk_id + title: Chunk + description: A chunk of content that can be inserted into a vector database. + ChunkMetadata: + properties: + chunk_id: + anyOf: + - type: string + - type: 'null' + title: Chunk Id + document_id: + anyOf: + - type: string + - type: 'null' + title: Document Id + source: + anyOf: + - type: string + - type: 'null' + title: Source + created_timestamp: + anyOf: + - type: integer + - type: 'null' + title: Created Timestamp + updated_timestamp: + anyOf: + - type: integer + - type: 'null' + title: Updated Timestamp + chunk_window: + anyOf: + - type: string + - type: 'null' + title: Chunk Window + chunk_tokenizer: + anyOf: + - type: string + - type: 'null' + title: Chunk Tokenizer + chunk_embedding_model: + anyOf: + - type: string + - type: 'null' + title: Chunk Embedding Model + chunk_embedding_dimension: + anyOf: + - type: integer + - type: 'null' + title: Chunk Embedding Dimension + content_token_count: + anyOf: + - type: integer + - type: 'null' + title: Content Token Count + metadata_token_count: + anyOf: + - type: integer + - type: 'null' + title: Metadata Token Count + type: object + title: ChunkMetadata + description: |- + `ChunkMetadata` is backend metadata for a `Chunk` that is used to store additional information about the chunk that + will not be used in the context during inference, but is required for backend functionality. The `ChunkMetadata` + is set during chunk creation in `MemoryToolRuntimeImpl().insert()`and is not expected to change after. + Use `Chunk.metadata` for metadata that will be used in the context during inference. + CompletionInputType: + properties: + type: + type: string + const: completion_input + title: Type + default: completion_input + type: object + title: CompletionInputType + description: Parameter type for completion input. + Conversation: + properties: + id: + type: string + title: Id + description: The unique ID of the conversation. object: type: string - const: list - default: list - description: >- - Must be "list" to identify this as a list response - additionalProperties: false - required: - - data - - has_more - - first_id - - last_id - - object - title: ListOpenAIChatCompletionResponse - description: >- - Response from listing OpenAI-compatible chat completions. - OpenAIAssistantMessageParam: + const: conversation + title: Object + description: The object type, which is always conversation. + default: conversation + created_at: + type: integer + title: Created At + description: The time at which the conversation was created, measured in seconds since the Unix epoch. + metadata: + anyOf: + - additionalProperties: + type: string + type: object + - type: 'null' + title: Metadata + description: Set of 16 key-value pairs that can be attached to an object. This can be useful for storing additional information about the object in a structured format, and querying for objects via API or the dashboard. + items: + anyOf: + - items: + additionalProperties: true + type: object + type: array + - type: 'null' + title: Items + description: Initial items to include in the conversation context. You may add up to 20 items at a time. type: object + required: + - id + - created_at + title: Conversation + description: OpenAI-compatible conversation object. + ConversationDeletedResource: + properties: + id: + type: string + title: Id + description: The deleted conversation identifier + object: + type: string + title: Object + description: Object type + default: conversation.deleted + deleted: + type: boolean + title: Deleted + description: Whether the object was deleted + default: true + type: object + required: + - id + title: ConversationDeletedResource + description: Response for deleted conversation. + ConversationItemDeletedResource: + properties: + id: + type: string + title: Id + description: The deleted item identifier + object: + type: string + title: Object + description: Object type + default: conversation.item.deleted + deleted: + type: boolean + title: Deleted + description: Whether the object was deleted + default: true + type: object + required: + - id + title: ConversationItemDeletedResource + description: Response for deleted conversation item. + ConversationItemInclude: + type: string + enum: + - web_search_call.action.sources + - code_interpreter_call.outputs + - computer_call_output.output.image_url + - file_search_call.results + - message.input_image.image_url + - message.output_text.logprobs + - reasoning.encrypted_content + title: ConversationItemInclude + description: Specify additional output data to include in the model response. + ConversationItemList: + properties: + object: + type: string + title: Object + description: Object type + default: list + data: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage-Output' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + discriminator: + propertyName: type + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + function_call_output: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_approval_response: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage-Output' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + type: array + title: Data + description: List of conversation items + first_id: + anyOf: + - type: string + - type: 'null' + title: First Id + description: The ID of the first item in the list + last_id: + anyOf: + - type: string + - type: 'null' + title: Last Id + description: The ID of the last item in the list + has_more: + type: boolean + title: Has More + description: Whether there are more items available + default: false + type: object + required: + - data + title: ConversationItemList + description: List of conversation items with pagination. + DPOAlignmentConfig: + properties: + beta: + type: number + title: Beta + loss_type: + $ref: '#/components/schemas/DPOLossType' + default: sigmoid + type: object + required: + - beta + title: DPOAlignmentConfig + description: Configuration for Direct Preference Optimization (DPO) alignment. + DPOLossType: + type: string + enum: + - sigmoid + - hinge + - ipo + - kto_pair + title: DPOLossType + DataConfig: + properties: + dataset_id: + type: string + title: Dataset Id + batch_size: + type: integer + title: Batch Size + shuffle: + type: boolean + title: Shuffle + data_format: + $ref: '#/components/schemas/DatasetFormat' + validation_dataset_id: + anyOf: + - type: string + - type: 'null' + title: Validation Dataset Id + packed: + anyOf: + - type: boolean + - type: 'null' + title: Packed + default: false + train_on_input: + anyOf: + - type: boolean + - type: 'null' + title: Train On Input + default: false + type: object + required: + - dataset_id + - batch_size + - shuffle + - data_format + title: DataConfig + description: Configuration for training data and data loading. + Dataset: + properties: + identifier: + type: string + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: + type: string + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: dataset + title: Type + default: dataset + purpose: + $ref: '#/components/schemas/DatasetPurpose' + source: + oneOf: + - $ref: '#/components/schemas/URIDataSource' + - $ref: '#/components/schemas/RowsDataSource' + title: Source + discriminator: + propertyName: type + mapping: + rows: '#/components/schemas/RowsDataSource' + uri: '#/components/schemas/URIDataSource' + metadata: + additionalProperties: true + type: object + title: Metadata + description: Any additional metadata for this dataset + type: object + required: + - identifier + - provider_id + - purpose + - source + title: Dataset + description: Dataset resource for storing and accessing training or evaluation data. + DatasetFormat: + type: string + enum: + - instruct + - dialog + title: DatasetFormat + description: Format of the training dataset. + DatasetPurpose: + type: string + enum: + - post-training/messages + - eval/question-answer + - eval/messages-answer + title: DatasetPurpose + description: Purpose of the dataset. Each purpose has a required input data schema. + EfficiencyConfig: + properties: + enable_activation_checkpointing: + anyOf: + - type: boolean + - type: 'null' + title: Enable Activation Checkpointing + default: false + enable_activation_offloading: + anyOf: + - type: boolean + - type: 'null' + title: Enable Activation Offloading + default: false + memory_efficient_fsdp_wrap: + anyOf: + - type: boolean + - type: 'null' + title: Memory Efficient Fsdp Wrap + default: false + fsdp_cpu_offload: + anyOf: + - type: boolean + - type: 'null' + title: Fsdp Cpu Offload + default: false + type: object + title: EfficiencyConfig + description: Configuration for memory and compute efficiency optimizations. + Errors: + properties: + data: + anyOf: + - items: + $ref: '#/components/schemas/BatchError' + type: array + - type: 'null' + title: Data + object: + anyOf: + - type: string + - type: 'null' + title: Object + additionalProperties: true + type: object + title: Errors + EvaluateResponse: + properties: + generations: + items: + additionalProperties: true + type: object + type: array + title: Generations + scores: + additionalProperties: + $ref: '#/components/schemas/ScoringResult' + type: object + title: Scores + type: object + required: + - generations + - scores + title: EvaluateResponse + description: The response from an evaluation. + ExpiresAfter: + properties: + anchor: + type: string + const: created_at + title: Anchor + seconds: + type: integer + maximum: 2592000.0 + minimum: 3600.0 + title: Seconds + type: object + required: + - anchor + - seconds + title: ExpiresAfter + description: |- + Control expiration of uploaded files. + + Params: + - anchor, must be "created_at" + - seconds, must be int between 3600 and 2592000 (1 hour to 30 days) + GreedySamplingStrategy: + properties: + type: + type: string + const: greedy + title: Type + default: greedy + type: object + title: GreedySamplingStrategy + description: Greedy sampling strategy that selects the highest probability token at each step. + HealthInfo: + properties: + status: + $ref: '#/components/schemas/HealthStatus' + type: object + required: + - status + title: HealthInfo + description: Health status information for the service. + HealthStatus: + type: string + enum: + - OK + - Error + - Not Implemented + title: HealthStatus + ImageContentItem-Input: + properties: + type: + type: string + const: image + title: Type + default: image + image: + $ref: '#/components/schemas/_URLOrData' + type: object + required: + - image + title: ImageContentItem + description: A image content item + ImageContentItem-Output: + properties: + type: + type: string + const: image + title: Type + default: image + image: + $ref: '#/components/schemas/_URLOrData' + type: object + required: + - image + title: ImageContentItem + description: A image content item + InputTokensDetails: + properties: + cached_tokens: + type: integer + title: Cached Tokens + additionalProperties: true + type: object + required: + - cached_tokens + title: InputTokensDetails + Job: + properties: + job_id: + type: string + title: Job Id + status: + $ref: '#/components/schemas/JobStatus' + type: object + required: + - job_id + - status + title: Job + description: A job execution instance with status tracking. + JobStatus: + type: string + enum: + - completed + - in_progress + - failed + - scheduled + - cancelled + title: JobStatus + description: Status of a job execution. + JsonType: + properties: + type: + type: string + const: json + title: Type + default: json + type: object + title: JsonType + description: Parameter type for JSON values. + LLMAsJudgeScoringFnParams: + properties: + type: + type: string + const: llm_as_judge + title: Type + default: llm_as_judge + judge_model: + type: string + title: Judge Model + prompt_template: + anyOf: + - type: string + - type: 'null' + title: Prompt Template + judge_score_regexes: + items: + type: string + type: array + title: Judge Score Regexes + description: Regexes to extract the answer from generated response + aggregation_functions: + items: + $ref: '#/components/schemas/AggregationFunctionType' + type: array + title: Aggregation Functions + description: Aggregation functions to apply to the scores of each row + type: object + required: + - judge_model + title: LLMAsJudgeScoringFnParams + description: Parameters for LLM-as-judge scoring function configuration. + ListBenchmarksResponse: + properties: + data: + items: + $ref: '#/components/schemas/Benchmark' + type: array + title: Data + type: object + required: + - data + title: ListBenchmarksResponse + ListDatasetsResponse: + properties: + data: + items: + $ref: '#/components/schemas/Dataset' + type: array + title: Data + type: object + required: + - data + title: ListDatasetsResponse + description: Response from listing datasets. + ListPostTrainingJobsResponse: + properties: + data: + items: + $ref: '#/components/schemas/PostTrainingJob' + type: array + title: Data + type: object + required: + - data + title: ListPostTrainingJobsResponse + ListPromptsResponse: + properties: + data: + items: + $ref: '#/components/schemas/Prompt' + type: array + title: Data + type: object + required: + - data + title: ListPromptsResponse + description: Response model to list prompts. + ListProvidersResponse: + properties: + data: + items: + $ref: '#/components/schemas/ProviderInfo' + type: array + title: Data + type: object + required: + - data + title: ListProvidersResponse + description: Response containing a list of all available providers. + ListScoringFunctionsResponse: + properties: + data: + items: + $ref: '#/components/schemas/ScoringFn' + type: array + title: Data + type: object + required: + - data + title: ListScoringFunctionsResponse + ListShieldsResponse: + properties: + data: + items: + $ref: '#/components/schemas/Shield' + type: array + title: Data + type: object + required: + - data + title: ListShieldsResponse + ListToolGroupsResponse: + properties: + data: + items: + $ref: '#/components/schemas/ToolGroup' + type: array + title: Data + type: object + required: + - data + title: ListToolGroupsResponse + description: Response containing a list of tool groups. + LoraFinetuningConfig: + properties: + type: + type: string + const: LoRA + title: Type + default: LoRA + lora_attn_modules: + items: + type: string + type: array + title: Lora Attn Modules + apply_lora_to_mlp: + type: boolean + title: Apply Lora To Mlp + apply_lora_to_output: + type: boolean + title: Apply Lora To Output + rank: + type: integer + title: Rank + alpha: + type: integer + title: Alpha + use_dora: + anyOf: + - type: boolean + - type: 'null' + title: Use Dora + default: false + quantize_base: + anyOf: + - type: boolean + - type: 'null' + title: Quantize Base + default: false + type: object + required: + - lora_attn_modules + - apply_lora_to_mlp + - apply_lora_to_output + - rank + - alpha + title: LoraFinetuningConfig + description: Configuration for Low-Rank Adaptation (LoRA) fine-tuning. + MCPListToolsTool: + properties: + input_schema: + additionalProperties: true + type: object + title: Input Schema + name: + type: string + title: Name + description: + anyOf: + - type: string + - type: 'null' + title: Description + type: object + required: + - input_schema + - name + title: MCPListToolsTool + description: Tool definition returned by MCP list tools operation. + Model: + properties: + identifier: + type: string + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: + type: string + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: model + title: Type + default: model + metadata: + additionalProperties: true + type: object + title: Metadata + description: Any additional metadata for this model + model_type: + $ref: '#/components/schemas/ModelType' + default: llm + type: object + required: + - identifier + - provider_id + title: Model + description: A model resource representing an AI model registered in Llama Stack. + ModelCandidate: + properties: + type: + type: string + const: model + title: Type + default: model + model: + type: string + title: Model + sampling_params: + $ref: '#/components/schemas/SamplingParams' + system_message: + anyOf: + - $ref: '#/components/schemas/SystemMessage' + - type: 'null' + type: object + required: + - model + - sampling_params + title: ModelCandidate + description: A model candidate for evaluation. + ModelType: + type: string + enum: + - llm + - embedding + - rerank + title: ModelType + description: Enumeration of supported model types in Llama Stack. + ModerationObject: + properties: + id: + type: string + title: Id + model: + type: string + title: Model + results: + items: + $ref: '#/components/schemas/ModerationObjectResults' + type: array + title: Results + type: object + required: + - id + - model + - results + title: ModerationObject + description: A moderation object. + ModerationObjectResults: + properties: + flagged: + type: boolean + title: Flagged + categories: + anyOf: + - additionalProperties: + type: boolean + type: object + - type: 'null' + title: Categories + category_applied_input_types: + anyOf: + - additionalProperties: + items: + type: string + type: array + type: object + - type: 'null' + title: Category Applied Input Types + category_scores: + anyOf: + - additionalProperties: + type: number + type: object + - type: 'null' + title: Category Scores + user_message: + anyOf: + - type: string + - type: 'null' + title: User Message + metadata: + additionalProperties: true + type: object + title: Metadata + type: object + required: + - flagged + title: ModerationObjectResults + description: A moderation object. + NumberType: + properties: + type: + type: string + const: number + title: Type + default: number + type: object + title: NumberType + description: Parameter type for numeric values. + ObjectType: + properties: + type: + type: string + const: object + title: Type + default: object + type: object + title: ObjectType + description: Parameter type for object values. + OpenAIAssistantMessageParam-Input: properties: role: type: string const: assistant + title: Role default: assistant - description: >- - Must be "assistant" to identify this as the model's response content: - oneOf: - - type: string - - type: array - items: - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' - description: The content of the model's response + anyOf: + - type: string + - items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + - type: 'null' + title: Content name: - type: string - description: >- - (Optional) The name of the assistant message participant. + anyOf: + - type: string + - type: 'null' + title: Name tool_calls: - type: array - items: - $ref: '#/components/schemas/OpenAIChatCompletionToolCall' - description: >- - List of tool calls. Each tool call is an OpenAIChatCompletionToolCall - object. - additionalProperties: false - required: - - role - title: OpenAIAssistantMessageParam - description: >- - A message containing the model's (assistant) response in an OpenAI-compatible - chat completion request. - "OpenAIChatCompletionContentPartImageParam": + anyOf: + - items: + $ref: '#/components/schemas/OpenAIChatCompletionToolCall' + type: array + - type: 'null' + title: Tool Calls type: object + title: OpenAIAssistantMessageParam + description: A message containing the model's (assistant) response in an OpenAI-compatible chat completion request. + OpenAIAssistantMessageParam-Output: + properties: + role: + type: string + const: assistant + title: Role + default: assistant + content: + anyOf: + - type: string + - items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + - type: 'null' + title: Content + name: + anyOf: + - type: string + - type: 'null' + title: Name + tool_calls: + anyOf: + - items: + $ref: '#/components/schemas/OpenAIChatCompletionToolCall' + type: array + - type: 'null' + title: Tool Calls + type: object + title: OpenAIAssistantMessageParam + description: A message containing the model's (assistant) response in an OpenAI-compatible chat completion request. + OpenAIChatCompletion: + properties: + id: + type: string + title: Id + choices: + items: + $ref: '#/components/schemas/OpenAIChoice-Output' + type: array + title: Choices + object: + type: string + const: chat.completion + title: Object + default: chat.completion + created: + type: integer + title: Created + model: + type: string + title: Model + usage: + anyOf: + - $ref: '#/components/schemas/OpenAIChatCompletionUsage' + - type: 'null' + type: object + required: + - id + - choices + - created + - model + title: OpenAIChatCompletion + description: Response from an OpenAI-compatible chat completion request. + OpenAIChatCompletionContentPartImageParam: properties: type: type: string const: image_url + title: Type default: image_url - description: >- - Must be "image_url" to identify this as image content image_url: $ref: '#/components/schemas/OpenAIImageURL' - description: >- - Image URL specification and processing details - additionalProperties: false - required: - - type - - image_url - title: >- - OpenAIChatCompletionContentPartImageParam - description: >- - Image content part for OpenAI-compatible chat completion messages. - OpenAIChatCompletionContentPartParam: - oneOf: - - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' - - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' - - $ref: '#/components/schemas/OpenAIFile' - discriminator: - propertyName: type - mapping: - text: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' - image_url: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' - file: '#/components/schemas/OpenAIFile' - OpenAIChatCompletionContentPartTextParam: type: object + required: + - image_url + title: OpenAIChatCompletionContentPartImageParam + description: Image content part for OpenAI-compatible chat completion messages. + OpenAIChatCompletionContentPartTextParam: properties: type: type: string const: text + title: Type default: text - description: >- - Must be "text" to identify this as text content text: type: string - description: The text content of the message - additionalProperties: false - required: - - type - - text - title: OpenAIChatCompletionContentPartTextParam - description: >- - Text content part for OpenAI-compatible chat completion messages. - OpenAIChatCompletionToolCall: + title: Text type: object + required: + - text + title: OpenAIChatCompletionContentPartTextParam + description: Text content part for OpenAI-compatible chat completion messages. + OpenAIChatCompletionRequestWithExtraBody: + properties: + model: + type: string + title: Model + messages: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIUserMessageParam-Input' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam-Input' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + discriminator: + propertyName: role + mapping: + assistant: '#/components/schemas/OpenAIAssistantMessageParam-Input' + developer: '#/components/schemas/OpenAIDeveloperMessageParam' + system: '#/components/schemas/OpenAISystemMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + user: '#/components/schemas/OpenAIUserMessageParam-Input' + type: array + minItems: 1 + title: Messages + frequency_penalty: + anyOf: + - type: number + - type: 'null' + title: Frequency Penalty + function_call: + anyOf: + - type: string + - additionalProperties: true + type: object + - type: 'null' + title: Function Call + functions: + anyOf: + - items: + additionalProperties: true + type: object + type: array + - type: 'null' + title: Functions + logit_bias: + anyOf: + - additionalProperties: + type: number + type: object + - type: 'null' + title: Logit Bias + logprobs: + anyOf: + - type: boolean + - type: 'null' + title: Logprobs + max_completion_tokens: + anyOf: + - type: integer + - type: 'null' + title: Max Completion Tokens + max_tokens: + anyOf: + - type: integer + - type: 'null' + title: Max Tokens + n: + anyOf: + - type: integer + - type: 'null' + title: N + parallel_tool_calls: + anyOf: + - type: boolean + - type: 'null' + title: Parallel Tool Calls + presence_penalty: + anyOf: + - type: number + - type: 'null' + title: Presence Penalty + response_format: + anyOf: + - oneOf: + - $ref: '#/components/schemas/OpenAIResponseFormatText' + - $ref: '#/components/schemas/OpenAIResponseFormatJSONSchema' + - $ref: '#/components/schemas/OpenAIResponseFormatJSONObject' + discriminator: + propertyName: type + mapping: + json_object: '#/components/schemas/OpenAIResponseFormatJSONObject' + json_schema: '#/components/schemas/OpenAIResponseFormatJSONSchema' + text: '#/components/schemas/OpenAIResponseFormatText' + - type: 'null' + title: Response Format + seed: + anyOf: + - type: integer + - type: 'null' + title: Seed + stop: + anyOf: + - type: string + - items: + type: string + type: array + - type: 'null' + title: Stop + stream: + anyOf: + - type: boolean + - type: 'null' + title: Stream + stream_options: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Stream Options + temperature: + anyOf: + - type: number + - type: 'null' + title: Temperature + tool_choice: + anyOf: + - type: string + - additionalProperties: true + type: object + - type: 'null' + title: Tool Choice + tools: + anyOf: + - items: + additionalProperties: true + type: object + type: array + - type: 'null' + title: Tools + top_logprobs: + anyOf: + - type: integer + - type: 'null' + title: Top Logprobs + top_p: + anyOf: + - type: number + - type: 'null' + title: Top P + user: + anyOf: + - type: string + - type: 'null' + title: User + additionalProperties: true + type: object + required: + - model + - messages + title: OpenAIChatCompletionRequestWithExtraBody + description: Request parameters for OpenAI-compatible chat completion endpoint. + OpenAIChatCompletionToolCall: properties: index: - type: integer - description: >- - (Optional) Index of the tool call in the list + anyOf: + - type: integer + - type: 'null' + title: Index id: - type: string - description: >- - (Optional) Unique identifier for the tool call + anyOf: + - type: string + - type: 'null' + title: Id type: type: string const: function + title: Type default: function - description: >- - Must be "function" to identify this as a function call function: - $ref: '#/components/schemas/OpenAIChatCompletionToolCallFunction' - description: (Optional) Function call details - additionalProperties: false - required: - - type - title: OpenAIChatCompletionToolCall - description: >- - Tool call specification for OpenAI-compatible chat completion responses. - OpenAIChatCompletionToolCallFunction: + anyOf: + - $ref: '#/components/schemas/OpenAIChatCompletionToolCallFunction' + - type: 'null' type: object + title: OpenAIChatCompletionToolCall + description: Tool call specification for OpenAI-compatible chat completion responses. + OpenAIChatCompletionToolCallFunction: properties: name: - type: string - description: (Optional) Name of the function to call + anyOf: + - type: string + - type: 'null' + title: Name arguments: - type: string - description: >- - (Optional) Arguments to pass to the function as a JSON string - additionalProperties: false - title: OpenAIChatCompletionToolCallFunction - description: >- - Function call details for OpenAI-compatible tool calls. - OpenAIChatCompletionUsage: + anyOf: + - type: string + - type: 'null' + title: Arguments type: object + title: OpenAIChatCompletionToolCallFunction + description: Function call details for OpenAI-compatible tool calls. + OpenAIChatCompletionUsage: properties: prompt_tokens: type: integer - description: Number of tokens in the prompt + title: Prompt Tokens completion_tokens: type: integer - description: Number of tokens in the completion + title: Completion Tokens total_tokens: type: integer - description: Total tokens used (prompt + completion) + title: Total Tokens prompt_tokens_details: - type: object - properties: - cached_tokens: - type: integer - description: Number of tokens retrieved from cache - additionalProperties: false - title: >- - OpenAIChatCompletionUsagePromptTokensDetails - description: >- - Token details for prompt tokens in OpenAI chat completion usage. + anyOf: + - $ref: '#/components/schemas/OpenAIChatCompletionUsagePromptTokensDetails' + - type: 'null' completion_tokens_details: - type: object - properties: - reasoning_tokens: - type: integer - description: >- - Number of tokens used for reasoning (o1/o3 models) - additionalProperties: false - title: >- - OpenAIChatCompletionUsageCompletionTokensDetails - description: >- - Token details for output tokens in OpenAI chat completion usage. - additionalProperties: false - required: - - prompt_tokens - - completion_tokens - - total_tokens - title: OpenAIChatCompletionUsage - description: >- - Usage information for OpenAI chat completion. - OpenAIChoice: + anyOf: + - $ref: '#/components/schemas/OpenAIChatCompletionUsageCompletionTokensDetails' + - type: 'null' type: object + required: + - prompt_tokens + - completion_tokens + - total_tokens + title: OpenAIChatCompletionUsage + description: Usage information for OpenAI chat completion. + OpenAIChatCompletionUsageCompletionTokensDetails: + properties: + reasoning_tokens: + anyOf: + - type: integer + - type: 'null' + title: Reasoning Tokens + type: object + title: OpenAIChatCompletionUsageCompletionTokensDetails + description: Token details for output tokens in OpenAI chat completion usage. + OpenAIChatCompletionUsagePromptTokensDetails: + properties: + cached_tokens: + anyOf: + - type: integer + - type: 'null' + title: Cached Tokens + type: object + title: OpenAIChatCompletionUsagePromptTokensDetails + description: Token details for prompt tokens in OpenAI chat completion usage. + OpenAIChoice-Output: properties: message: oneOf: - - $ref: '#/components/schemas/OpenAIUserMessageParam' - - $ref: '#/components/schemas/OpenAISystemMessageParam' - - $ref: '#/components/schemas/OpenAIAssistantMessageParam' - - $ref: '#/components/schemas/OpenAIToolMessageParam' - - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + - $ref: '#/components/schemas/OpenAIUserMessageParam-Output' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam-Output' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + title: Message discriminator: propertyName: role mapping: - user: '#/components/schemas/OpenAIUserMessageParam' - system: '#/components/schemas/OpenAISystemMessageParam' - assistant: '#/components/schemas/OpenAIAssistantMessageParam' - tool: '#/components/schemas/OpenAIToolMessageParam' + assistant: '#/components/schemas/OpenAIAssistantMessageParam-Output' developer: '#/components/schemas/OpenAIDeveloperMessageParam' - description: The message from the model + system: '#/components/schemas/OpenAISystemMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + user: '#/components/schemas/OpenAIUserMessageParam-Output' finish_reason: type: string - description: The reason the model stopped generating + title: Finish Reason index: type: integer - description: The index of the choice + title: Index logprobs: - $ref: '#/components/schemas/OpenAIChoiceLogprobs' - description: >- - (Optional) The log probabilities for the tokens in the message - additionalProperties: false - required: - - message - - finish_reason - - index - title: OpenAIChoice - description: >- - A choice from an OpenAI-compatible chat completion response. - OpenAIChoiceLogprobs: + anyOf: + - $ref: '#/components/schemas/OpenAIChoiceLogprobs-Output' + - type: 'null' type: object + required: + - message + - finish_reason + - index + title: OpenAIChoice + description: A choice from an OpenAI-compatible chat completion response. + OpenAIChoiceLogprobs-Output: properties: content: - type: array - items: - $ref: '#/components/schemas/OpenAITokenLogProb' - description: >- - (Optional) The log probabilities for the tokens in the message + anyOf: + - items: + $ref: '#/components/schemas/OpenAITokenLogProb' + type: array + - type: 'null' + title: Content refusal: - type: array - items: - $ref: '#/components/schemas/OpenAITokenLogProb' - description: >- - (Optional) The log probabilities for the tokens in the message - additionalProperties: false - title: OpenAIChoiceLogprobs - description: >- - The log probabilities for the tokens in the message from an OpenAI-compatible - chat completion response. - OpenAIDeveloperMessageParam: + anyOf: + - items: + $ref: '#/components/schemas/OpenAITokenLogProb' + type: array + - type: 'null' + title: Refusal type: object + title: OpenAIChoiceLogprobs + description: The log probabilities for the tokens in the message from an OpenAI-compatible chat completion response. + OpenAICompletion: + properties: + id: + type: string + title: Id + choices: + items: + $ref: '#/components/schemas/OpenAICompletionChoice-Output' + type: array + title: Choices + created: + type: integer + title: Created + model: + type: string + title: Model + object: + type: string + const: text_completion + title: Object + default: text_completion + type: object + required: + - id + - choices + - created + - model + title: OpenAICompletion + description: |- + Response from an OpenAI-compatible completion request. + + :id: The ID of the completion + :choices: List of choices + :created: The Unix timestamp in seconds when the completion was created + :model: The model that was used to generate the completion + :object: The object type, which will be "text_completion" + OpenAICompletionChoice-Output: + properties: + finish_reason: + type: string + title: Finish Reason + text: + type: string + title: Text + index: + type: integer + title: Index + logprobs: + anyOf: + - $ref: '#/components/schemas/OpenAIChoiceLogprobs-Output' + - type: 'null' + type: object + required: + - finish_reason + - text + - index + title: OpenAICompletionChoice + description: |- + A choice from an OpenAI-compatible completion response. + + :finish_reason: The reason the model stopped generating + :text: The text of the choice + :index: The index of the choice + :logprobs: (Optional) The log probabilities for the tokens in the choice + OpenAICompletionRequestWithExtraBody: + properties: + model: + type: string + title: Model + prompt: + anyOf: + - type: string + - items: + type: string + type: array + - items: + type: integer + type: array + - items: + items: + type: integer + type: array + type: array + title: Prompt + best_of: + anyOf: + - type: integer + - type: 'null' + title: Best Of + echo: + anyOf: + - type: boolean + - type: 'null' + title: Echo + frequency_penalty: + anyOf: + - type: number + - type: 'null' + title: Frequency Penalty + logit_bias: + anyOf: + - additionalProperties: + type: number + type: object + - type: 'null' + title: Logit Bias + logprobs: + anyOf: + - type: boolean + - type: 'null' + title: Logprobs + max_tokens: + anyOf: + - type: integer + - type: 'null' + title: Max Tokens + n: + anyOf: + - type: integer + - type: 'null' + title: N + presence_penalty: + anyOf: + - type: number + - type: 'null' + title: Presence Penalty + seed: + anyOf: + - type: integer + - type: 'null' + title: Seed + stop: + anyOf: + - type: string + - items: + type: string + type: array + - type: 'null' + title: Stop + stream: + anyOf: + - type: boolean + - type: 'null' + title: Stream + stream_options: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Stream Options + temperature: + anyOf: + - type: number + - type: 'null' + title: Temperature + top_p: + anyOf: + - type: number + - type: 'null' + title: Top P + user: + anyOf: + - type: string + - type: 'null' + title: User + suffix: + anyOf: + - type: string + - type: 'null' + title: Suffix + additionalProperties: true + type: object + required: + - model + - prompt + title: OpenAICompletionRequestWithExtraBody + description: Request parameters for OpenAI-compatible completion endpoint. + OpenAICompletionWithInputMessages: + properties: + id: + type: string + title: Id + choices: + items: + $ref: '#/components/schemas/OpenAIChoice-Output' + type: array + title: Choices + object: + type: string + const: chat.completion + title: Object + default: chat.completion + created: + type: integer + title: Created + model: + type: string + title: Model + usage: + anyOf: + - $ref: '#/components/schemas/OpenAIChatCompletionUsage' + - type: 'null' + input_messages: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIUserMessageParam-Output' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam-Output' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + discriminator: + propertyName: role + mapping: + assistant: '#/components/schemas/OpenAIAssistantMessageParam-Output' + developer: '#/components/schemas/OpenAIDeveloperMessageParam' + system: '#/components/schemas/OpenAISystemMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + user: '#/components/schemas/OpenAIUserMessageParam-Output' + type: array + title: Input Messages + type: object + required: + - id + - choices + - created + - model + - input_messages + title: OpenAICompletionWithInputMessages + OpenAICreateVectorStoreFileBatchRequestWithExtraBody: + properties: + file_ids: + items: + type: string + type: array + title: File Ids + attributes: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Attributes + chunking_strategy: + anyOf: + - oneOf: + - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' + - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + discriminator: + propertyName: type + mapping: + auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' + static: '#/components/schemas/VectorStoreChunkingStrategyStatic' + - type: 'null' + title: Chunking Strategy + additionalProperties: true + type: object + required: + - file_ids + title: OpenAICreateVectorStoreFileBatchRequestWithExtraBody + description: Request to create a vector store file batch with extra_body support. + OpenAICreateVectorStoreRequestWithExtraBody: + properties: + name: + anyOf: + - type: string + - type: 'null' + title: Name + file_ids: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: File Ids + expires_after: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Expires After + chunking_strategy: + anyOf: + - oneOf: + - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' + - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + discriminator: + propertyName: type + mapping: + auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' + static: '#/components/schemas/VectorStoreChunkingStrategyStatic' + - type: 'null' + title: Chunking Strategy + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + additionalProperties: true + type: object + title: OpenAICreateVectorStoreRequestWithExtraBody + description: Request to create a vector store with extra_body support. + OpenAIDeleteResponseObject: + properties: + id: + type: string + title: Id + object: + type: string + const: response + title: Object + default: response + deleted: + type: boolean + title: Deleted + default: true + type: object + required: + - id + title: OpenAIDeleteResponseObject + description: Response object confirming deletion of an OpenAI response. + OpenAIDeveloperMessageParam: properties: role: type: string const: developer + title: Role default: developer - description: >- - Must be "developer" to identify this as a developer message content: - oneOf: - - type: string - - type: array - items: - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' - description: The content of the developer message + anyOf: + - type: string + - items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + title: Content name: - type: string - description: >- - (Optional) The name of the developer message participant. - additionalProperties: false - required: - - role - - content - title: OpenAIDeveloperMessageParam - description: >- - A message from the developer in an OpenAI-compatible chat completion request. - OpenAIFile: + anyOf: + - type: string + - type: 'null' + title: Name type: object + required: + - content + title: OpenAIDeveloperMessageParam + description: A message from the developer in an OpenAI-compatible chat completion request. + OpenAIEmbeddingData: + properties: + object: + type: string + const: embedding + title: Object + default: embedding + embedding: + anyOf: + - items: + type: number + type: array + - type: string + title: Embedding + index: + type: integer + title: Index + type: object + required: + - embedding + - index + title: OpenAIEmbeddingData + description: A single embedding data object from an OpenAI-compatible embeddings response. + OpenAIEmbeddingUsage: + properties: + prompt_tokens: + type: integer + title: Prompt Tokens + total_tokens: + type: integer + title: Total Tokens + type: object + required: + - prompt_tokens + - total_tokens + title: OpenAIEmbeddingUsage + description: Usage information for an OpenAI-compatible embeddings response. + OpenAIEmbeddingsRequestWithExtraBody: + properties: + model: + type: string + title: Model + input: + anyOf: + - type: string + - items: + type: string + type: array + title: Input + encoding_format: + anyOf: + - type: string + - type: 'null' + title: Encoding Format + default: float + dimensions: + anyOf: + - type: integer + - type: 'null' + title: Dimensions + user: + anyOf: + - type: string + - type: 'null' + title: User + additionalProperties: true + type: object + required: + - model + - input + title: OpenAIEmbeddingsRequestWithExtraBody + description: Request parameters for OpenAI-compatible embeddings endpoint. + OpenAIEmbeddingsResponse: + properties: + object: + type: string + const: list + title: Object + default: list + data: + items: + $ref: '#/components/schemas/OpenAIEmbeddingData' + type: array + title: Data + model: + type: string + title: Model + usage: + $ref: '#/components/schemas/OpenAIEmbeddingUsage' + type: object + required: + - data + - model + - usage + title: OpenAIEmbeddingsResponse + description: Response from an OpenAI-compatible embeddings request. + OpenAIFile: properties: type: type: string const: file + title: Type default: file file: $ref: '#/components/schemas/OpenAIFileFile' - additionalProperties: false - required: - - type - - file - title: OpenAIFile - OpenAIFileFile: type: object + required: + - file + title: OpenAIFile + OpenAIFileDeleteResponse: + properties: + id: + type: string + title: Id + object: + type: string + const: file + title: Object + default: file + deleted: + type: boolean + title: Deleted + type: object + required: + - id + - deleted + title: OpenAIFileDeleteResponse + description: Response for deleting a file in OpenAI Files API. + OpenAIFileFile: properties: file_data: - type: string + anyOf: + - type: string + - type: 'null' + title: File Data file_id: + anyOf: + - type: string + - type: 'null' + title: File Id + filename: + anyOf: + - type: string + - type: 'null' + title: Filename + type: object + title: OpenAIFileFile + OpenAIFileObject: + properties: + object: type: string + const: file + title: Object + default: file + id: + type: string + title: Id + bytes: + type: integer + title: Bytes + created_at: + type: integer + title: Created At + expires_at: + type: integer + title: Expires At filename: type: string - additionalProperties: false - title: OpenAIFileFile - OpenAIImageURL: + title: Filename + purpose: + $ref: '#/components/schemas/OpenAIFilePurpose' type: object + required: + - id + - bytes + - created_at + - expires_at + - filename + - purpose + title: OpenAIFileObject + description: OpenAI File object as defined in the OpenAI Files API. + OpenAIFilePurpose: + type: string + enum: + - assistants + - batch + title: OpenAIFilePurpose + description: Valid purpose values for OpenAI Files API. + OpenAIImageURL: properties: url: type: string - description: >- - URL of the image to include in the message + title: Url detail: - type: string - description: >- - (Optional) Level of detail for image processing. Can be "low", "high", - or "auto" - additionalProperties: false + anyOf: + - type: string + - type: 'null' + title: Detail + type: object required: - - url + - url title: OpenAIImageURL - description: >- - Image URL specification for OpenAI-compatible chat completion messages. - OpenAIMessageParam: - oneOf: - - $ref: '#/components/schemas/OpenAIUserMessageParam' - - $ref: '#/components/schemas/OpenAISystemMessageParam' - - $ref: '#/components/schemas/OpenAIAssistantMessageParam' - - $ref: '#/components/schemas/OpenAIToolMessageParam' - - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' - discriminator: - propertyName: role - mapping: - user: '#/components/schemas/OpenAIUserMessageParam' - system: '#/components/schemas/OpenAISystemMessageParam' - assistant: '#/components/schemas/OpenAIAssistantMessageParam' - tool: '#/components/schemas/OpenAIToolMessageParam' - developer: '#/components/schemas/OpenAIDeveloperMessageParam' - OpenAISystemMessageParam: - type: object - properties: - role: - type: string - const: system - default: system - description: >- - Must be "system" to identify this as a system message - content: - oneOf: - - type: string - - type: array - items: - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' - description: >- - The content of the "system prompt". If multiple system messages are provided, - they are concatenated. The underlying Llama Stack code may also add other - system messages (for example, for formatting tool definitions). - name: - type: string - description: >- - (Optional) The name of the system message participant. - additionalProperties: false - required: - - role - - content - title: OpenAISystemMessageParam - description: >- - A system message providing instructions or context to the model. - OpenAITokenLogProb: - type: object - properties: - token: - type: string - bytes: - type: array - items: - type: integer - logprob: - type: number - top_logprobs: - type: array - items: - $ref: '#/components/schemas/OpenAITopLogProb' - additionalProperties: false - required: - - token - - logprob - - top_logprobs - title: OpenAITokenLogProb - description: >- - The log probability for a token from an OpenAI-compatible chat completion - response. - OpenAIToolMessageParam: - type: object - properties: - role: - type: string - const: tool - default: tool - description: >- - Must be "tool" to identify this as a tool response - tool_call_id: - type: string - description: >- - Unique identifier for the tool call this response is for - content: - oneOf: - - type: string - - type: array - items: - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' - description: The response content from the tool - additionalProperties: false - required: - - role - - tool_call_id - - content - title: OpenAIToolMessageParam - description: >- - A message representing the result of a tool invocation in an OpenAI-compatible - chat completion request. - OpenAITopLogProb: - type: object - properties: - token: - type: string - bytes: - type: array - items: - type: integer - logprob: - type: number - additionalProperties: false - required: - - token - - logprob - title: OpenAITopLogProb - description: >- - The top log probability for a token from an OpenAI-compatible chat completion - response. - OpenAIUserMessageParam: - type: object - properties: - role: - type: string - const: user - default: user - description: >- - Must be "user" to identify this as a user message - content: - oneOf: - - type: string - - type: array - items: - $ref: '#/components/schemas/OpenAIChatCompletionContentPartParam' - description: >- - The content of the message, which can include text and other media - name: - type: string - description: >- - (Optional) The name of the user message participant. - additionalProperties: false - required: - - role - - content - title: OpenAIUserMessageParam - description: >- - A message from the user in an OpenAI-compatible chat completion request. + description: Image URL specification for OpenAI-compatible chat completion messages. OpenAIJSONSchema: - type: object properties: name: type: string - description: Name of the schema + title: Name description: - type: string - description: (Optional) Description of the schema + anyOf: + - type: string + - type: 'null' + title: Description strict: - type: boolean - description: >- - (Optional) Whether to enforce strict adherence to the schema + anyOf: + - type: boolean + - type: 'null' + title: Strict schema: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: (Optional) The JSON schema definition - additionalProperties: false - required: - - name - title: OpenAIJSONSchema - description: >- - JSON schema specification for OpenAI-compatible structured response format. - OpenAIResponseFormatJSONObject: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Schema type: object + title: OpenAIJSONSchema + description: JSON schema specification for OpenAI-compatible structured response format. + OpenAIListModelsResponse: + properties: + data: + items: + $ref: '#/components/schemas/OpenAIModel' + type: array + title: Data + type: object + required: + - data + title: OpenAIListModelsResponse + OpenAIModel: + properties: + id: + type: string + title: Id + object: + type: string + const: model + title: Object + default: model + created: + type: integer + title: Created + owned_by: + type: string + title: Owned By + custom_metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Custom Metadata + type: object + required: + - id + - created + - owned_by + title: OpenAIModel + description: |- + A model from OpenAI. + + :id: The ID of the model + :object: The object type, which will be "model" + :created: The Unix timestamp in seconds when the model was created + :owned_by: The owner of the model + :custom_metadata: Llama Stack-specific metadata including model_type, provider info, and additional metadata + OpenAIResponseAnnotationCitation: + properties: + type: + type: string + const: url_citation + title: Type + default: url_citation + end_index: + type: integer + title: End Index + start_index: + type: integer + title: Start Index + title: + type: string + title: Title + url: + type: string + title: Url + type: object + required: + - end_index + - start_index + - title + - url + title: OpenAIResponseAnnotationCitation + description: URL citation annotation for referencing external web resources. + OpenAIResponseAnnotationContainerFileCitation: + properties: + type: + type: string + const: container_file_citation + title: Type + default: container_file_citation + container_id: + type: string + title: Container Id + end_index: + type: integer + title: End Index + file_id: + type: string + title: File Id + filename: + type: string + title: Filename + start_index: + type: integer + title: Start Index + type: object + required: + - container_id + - end_index + - file_id + - filename + - start_index + title: OpenAIResponseAnnotationContainerFileCitation + OpenAIResponseAnnotationFileCitation: + properties: + type: + type: string + const: file_citation + title: Type + default: file_citation + file_id: + type: string + title: File Id + filename: + type: string + title: Filename + index: + type: integer + title: Index + type: object + required: + - file_id + - filename + - index + title: OpenAIResponseAnnotationFileCitation + description: File citation annotation for referencing specific files in response content. + OpenAIResponseAnnotationFilePath: + properties: + type: + type: string + const: file_path + title: Type + default: file_path + file_id: + type: string + title: File Id + index: + type: integer + title: Index + type: object + required: + - file_id + - index + title: OpenAIResponseAnnotationFilePath + OpenAIResponseContentPartRefusal: + properties: + type: + type: string + const: refusal + title: Type + default: refusal + refusal: + type: string + title: Refusal + type: object + required: + - refusal + title: OpenAIResponseContentPartRefusal + description: Refusal content within a streamed response part. + OpenAIResponseError: + properties: + code: + type: string + title: Code + message: + type: string + title: Message + type: object + required: + - code + - message + title: OpenAIResponseError + description: Error details for failed OpenAI response requests. + OpenAIResponseFormatJSONObject: properties: type: type: string const: json_object + title: Type default: json_object - description: >- - Must be "json_object" to indicate generic JSON object response format - additionalProperties: false - required: - - type - title: OpenAIResponseFormatJSONObject - description: >- - JSON object response format for OpenAI-compatible chat completion requests. - OpenAIResponseFormatJSONSchema: type: object + title: OpenAIResponseFormatJSONObject + description: JSON object response format for OpenAI-compatible chat completion requests. + OpenAIResponseFormatJSONSchema: properties: type: type: string const: json_schema + title: Type default: json_schema - description: >- - Must be "json_schema" to indicate structured JSON response format json_schema: $ref: '#/components/schemas/OpenAIJSONSchema' - description: >- - The JSON schema specification for the response - additionalProperties: false - required: - - type - - json_schema - title: OpenAIResponseFormatJSONSchema - description: >- - JSON schema response format for OpenAI-compatible chat completion requests. - OpenAIResponseFormatParam: - oneOf: - - $ref: '#/components/schemas/OpenAIResponseFormatText' - - $ref: '#/components/schemas/OpenAIResponseFormatJSONSchema' - - $ref: '#/components/schemas/OpenAIResponseFormatJSONObject' - discriminator: - propertyName: type - mapping: - text: '#/components/schemas/OpenAIResponseFormatText' - json_schema: '#/components/schemas/OpenAIResponseFormatJSONSchema' - json_object: '#/components/schemas/OpenAIResponseFormatJSONObject' - OpenAIResponseFormatText: type: object + required: + - json_schema + title: OpenAIResponseFormatJSONSchema + description: JSON schema response format for OpenAI-compatible chat completion requests. + OpenAIResponseFormatText: properties: type: type: string const: text + title: Type default: text - description: >- - Must be "text" to indicate plain text response format - additionalProperties: false - required: - - type + type: object title: OpenAIResponseFormatText - description: >- - Text response format for OpenAI-compatible chat completion requests. - OpenAIChatCompletionRequestWithExtraBody: - type: object + description: Text response format for OpenAI-compatible chat completion requests. + OpenAIResponseInputFunctionToolCallOutput: properties: - model: + call_id: type: string - description: >- - The identifier of the model to use. The model must be registered with - Llama Stack and available via the /models endpoint. - messages: - type: array - items: - $ref: '#/components/schemas/OpenAIMessageParam' - description: List of messages in the conversation. - frequency_penalty: - type: number - description: >- - (Optional) The penalty for repeated tokens. - function_call: - oneOf: - - type: string - - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: (Optional) The function call to use. - functions: - type: array - items: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: (Optional) List of functions to use. - logit_bias: - type: object - additionalProperties: - type: number - description: (Optional) The logit bias to use. - logprobs: - type: boolean - description: (Optional) The log probabilities to use. - max_completion_tokens: - type: integer - description: >- - (Optional) The maximum number of tokens to generate. - max_tokens: - type: integer - description: >- - (Optional) The maximum number of tokens to generate. - n: - type: integer - description: >- - (Optional) The number of completions to generate. - parallel_tool_calls: - type: boolean - description: >- - (Optional) Whether to parallelize tool calls. - presence_penalty: - type: number - description: >- - (Optional) The penalty for repeated tokens. - response_format: - $ref: '#/components/schemas/OpenAIResponseFormatParam' - description: (Optional) The response format to use. - seed: - type: integer - description: (Optional) The seed to use. - stop: - oneOf: - - type: string - - type: array - items: - type: string - description: (Optional) The stop tokens to use. - stream: - type: boolean - description: >- - (Optional) Whether to stream the response. - stream_options: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: (Optional) The stream options to use. - temperature: - type: number - description: (Optional) The temperature to use. - tool_choice: - oneOf: - - type: string - - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: (Optional) The tool choice to use. - tools: - type: array - items: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: (Optional) The tools to use. - top_logprobs: - type: integer - description: >- - (Optional) The top log probabilities to use. - top_p: - type: number - description: (Optional) The top p to use. - user: + title: Call Id + output: type: string - description: (Optional) The user to use. - additionalProperties: false - required: - - model - - messages - title: OpenAIChatCompletionRequestWithExtraBody - description: >- - Request parameters for OpenAI-compatible chat completion endpoint. - OpenAIChatCompletion: - type: object - properties: + title: Output + type: + type: string + const: function_call_output + title: Type + default: function_call_output id: - type: string - description: The ID of the chat completion - choices: - type: array - items: - $ref: '#/components/schemas/OpenAIChoice' - description: List of choices - object: - type: string - const: chat.completion - default: chat.completion - description: >- - The object type, which will be "chat.completion" - created: - type: integer - description: >- - The Unix timestamp in seconds when the chat completion was created - model: - type: string - description: >- - The model that was used to generate the chat completion - usage: - $ref: '#/components/schemas/OpenAIChatCompletionUsage' - description: >- - Token usage information for the completion - additionalProperties: false + anyOf: + - type: string + - type: 'null' + title: Id + status: + anyOf: + - type: string + - type: 'null' + title: Status + type: object required: - - id - - choices - - object - - created - - model - title: OpenAIChatCompletion - description: >- - Response from an OpenAI-compatible chat completion request. - OpenAIChatCompletionChunk: - type: object + - call_id + - output + title: OpenAIResponseInputFunctionToolCallOutput + description: This represents the output of a function call that gets passed back to the model. + OpenAIResponseInputMessageContentFile: properties: - id: + type: type: string - description: The ID of the chat completion - choices: - type: array - items: - $ref: '#/components/schemas/OpenAIChunkChoice' - description: List of choices - object: - type: string - const: chat.completion.chunk - default: chat.completion.chunk - description: >- - The object type, which will be "chat.completion.chunk" - created: - type: integer - description: >- - The Unix timestamp in seconds when the chat completion was created - model: - type: string - description: >- - The model that was used to generate the chat completion - usage: - $ref: '#/components/schemas/OpenAIChatCompletionUsage' - description: >- - Token usage information (typically included in final chunk with stream_options) - additionalProperties: false - required: - - id - - choices - - object - - created - - model - title: OpenAIChatCompletionChunk - description: >- - Chunk from a streaming response to an OpenAI-compatible chat completion request. - OpenAIChoiceDelta: + const: input_file + title: Type + default: input_file + file_data: + anyOf: + - type: string + - type: 'null' + title: File Data + file_id: + anyOf: + - type: string + - type: 'null' + title: File Id + file_url: + anyOf: + - type: string + - type: 'null' + title: File Url + filename: + anyOf: + - type: string + - type: 'null' + title: Filename type: object + title: OpenAIResponseInputMessageContentFile + description: File content for input messages in OpenAI response format. + OpenAIResponseInputMessageContentImage: properties: - content: + detail: + anyOf: + - type: string + const: low + - type: string + const: high + - type: string + const: auto + title: Detail + default: auto + type: type: string - description: (Optional) The content of the delta - refusal: - type: string - description: (Optional) The refusal of the delta - role: - type: string - description: (Optional) The role of the delta - tool_calls: - type: array - items: - $ref: '#/components/schemas/OpenAIChatCompletionToolCall' - description: (Optional) The tool calls of the delta - reasoning_content: - type: string - description: >- - (Optional) The reasoning content from the model (non-standard, for o1/o3 - models) - additionalProperties: false - title: OpenAIChoiceDelta - description: >- - A delta from an OpenAI-compatible chat completion streaming response. - OpenAIChunkChoice: + const: input_image + title: Type + default: input_image + file_id: + anyOf: + - type: string + - type: 'null' + title: File Id + image_url: + anyOf: + - type: string + - type: 'null' + title: Image Url type: object + title: OpenAIResponseInputMessageContentImage + description: Image content for input messages in OpenAI response format. + OpenAIResponseInputMessageContentText: properties: - delta: - $ref: '#/components/schemas/OpenAIChoiceDelta' - description: The delta from the chunk - finish_reason: - type: string - description: The reason the model stopped generating - index: - type: integer - description: The index of the choice - logprobs: - $ref: '#/components/schemas/OpenAIChoiceLogprobs' - description: >- - (Optional) The log probabilities for the tokens in the message - additionalProperties: false - required: - - delta - - finish_reason - - index - title: OpenAIChunkChoice - description: >- - A chunk choice from an OpenAI-compatible chat completion streaming response. - OpenAICompletionWithInputMessages: - type: object - properties: - id: - type: string - description: The ID of the chat completion - choices: - type: array - items: - $ref: '#/components/schemas/OpenAIChoice' - description: List of choices - object: - type: string - const: chat.completion - default: chat.completion - description: >- - The object type, which will be "chat.completion" - created: - type: integer - description: >- - The Unix timestamp in seconds when the chat completion was created - model: - type: string - description: >- - The model that was used to generate the chat completion - usage: - $ref: '#/components/schemas/OpenAIChatCompletionUsage' - description: >- - Token usage information for the completion - input_messages: - type: array - items: - $ref: '#/components/schemas/OpenAIMessageParam' - additionalProperties: false - required: - - id - - choices - - object - - created - - model - - input_messages - title: OpenAICompletionWithInputMessages - OpenAICompletionRequestWithExtraBody: - type: object - properties: - model: - type: string - description: >- - The identifier of the model to use. The model must be registered with - Llama Stack and available via the /models endpoint. - prompt: - oneOf: - - type: string - - type: array - items: - type: string - - type: array - items: - type: integer - - type: array - items: - type: array - items: - type: integer - description: The prompt to generate a completion for. - best_of: - type: integer - description: >- - (Optional) The number of completions to generate. - echo: - type: boolean - description: (Optional) Whether to echo the prompt. - frequency_penalty: - type: number - description: >- - (Optional) The penalty for repeated tokens. - logit_bias: - type: object - additionalProperties: - type: number - description: (Optional) The logit bias to use. - logprobs: - type: boolean - description: (Optional) The log probabilities to use. - max_tokens: - type: integer - description: >- - (Optional) The maximum number of tokens to generate. - n: - type: integer - description: >- - (Optional) The number of completions to generate. - presence_penalty: - type: number - description: >- - (Optional) The penalty for repeated tokens. - seed: - type: integer - description: (Optional) The seed to use. - stop: - oneOf: - - type: string - - type: array - items: - type: string - description: (Optional) The stop tokens to use. - stream: - type: boolean - description: >- - (Optional) Whether to stream the response. - stream_options: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: (Optional) The stream options to use. - temperature: - type: number - description: (Optional) The temperature to use. - top_p: - type: number - description: (Optional) The top p to use. - user: - type: string - description: (Optional) The user to use. - suffix: - type: string - description: >- - (Optional) The suffix that should be appended to the completion. - additionalProperties: false - required: - - model - - prompt - title: OpenAICompletionRequestWithExtraBody - description: >- - Request parameters for OpenAI-compatible completion endpoint. - OpenAICompletion: - type: object - properties: - id: - type: string - choices: - type: array - items: - $ref: '#/components/schemas/OpenAICompletionChoice' - created: - type: integer - model: - type: string - object: - type: string - const: text_completion - default: text_completion - additionalProperties: false - required: - - id - - choices - - created - - model - - object - title: OpenAICompletion - description: >- - Response from an OpenAI-compatible completion request. - OpenAICompletionChoice: - type: object - properties: - finish_reason: - type: string text: type: string + title: Text + type: + type: string + const: input_text + title: Type + default: input_text + type: object + required: + - text + title: OpenAIResponseInputMessageContentText + description: Text content for input messages in OpenAI response format. + OpenAIResponseInputToolFileSearch: + properties: + type: + type: string + const: file_search + title: Type + default: file_search + vector_store_ids: + items: + type: string + type: array + title: Vector Store Ids + filters: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Filters + max_num_results: + anyOf: + - type: integer + maximum: 50.0 + minimum: 1.0 + - type: 'null' + title: Max Num Results + default: 10 + ranking_options: + anyOf: + - $ref: '#/components/schemas/SearchRankingOptions' + - type: 'null' + type: object + required: + - vector_store_ids + title: OpenAIResponseInputToolFileSearch + description: File search tool configuration for OpenAI response inputs. + OpenAIResponseInputToolFunction: + properties: + type: + type: string + const: function + title: Type + default: function + name: + type: string + title: Name + description: + anyOf: + - type: string + - type: 'null' + title: Description + parameters: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Parameters + strict: + anyOf: + - type: boolean + - type: 'null' + title: Strict + type: object + required: + - name + - parameters + title: OpenAIResponseInputToolFunction + description: Function tool configuration for OpenAI response inputs. + OpenAIResponseInputToolWebSearch: + properties: + type: + anyOf: + - type: string + const: web_search + - type: string + const: web_search_preview + - type: string + const: web_search_preview_2025_03_11 + - type: string + const: web_search_2025_08_26 + title: Type + default: web_search + search_context_size: + anyOf: + - type: string + pattern: ^low|medium|high$ + - type: 'null' + title: Search Context Size + default: medium + type: object + title: OpenAIResponseInputToolWebSearch + description: Web search tool configuration for OpenAI response inputs. + OpenAIResponseMCPApprovalRequest: + properties: + arguments: + type: string + title: Arguments + id: + type: string + title: Id + name: + type: string + title: Name + server_label: + type: string + title: Server Label + type: + type: string + const: mcp_approval_request + title: Type + default: mcp_approval_request + type: object + required: + - arguments + - id + - name + - server_label + title: OpenAIResponseMCPApprovalRequest + description: A request for human approval of a tool invocation. + OpenAIResponseMCPApprovalResponse: + properties: + approval_request_id: + type: string + title: Approval Request Id + approve: + type: boolean + title: Approve + type: + type: string + const: mcp_approval_response + title: Type + default: mcp_approval_response + id: + anyOf: + - type: string + - type: 'null' + title: Id + reason: + anyOf: + - type: string + - type: 'null' + title: Reason + type: object + required: + - approval_request_id + - approve + title: OpenAIResponseMCPApprovalResponse + description: A response to an MCP approval request. + OpenAIResponseMessage-Input: + properties: + content: + anyOf: + - type: string + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentText' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentImage' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentFile' + discriminator: + propertyName: type + mapping: + input_file: '#/components/schemas/OpenAIResponseInputMessageContentFile' + input_image: '#/components/schemas/OpenAIResponseInputMessageContentImage' + input_text: '#/components/schemas/OpenAIResponseInputMessageContentText' + type: array + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + discriminator: + propertyName: type + mapping: + output_text: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + type: array + title: Content + role: + anyOf: + - type: string + const: system + - type: string + const: developer + - type: string + const: user + - type: string + const: assistant + title: Role + type: + type: string + const: message + title: Type + default: message + id: + anyOf: + - type: string + - type: 'null' + title: Id + status: + anyOf: + - type: string + - type: 'null' + title: Status + type: object + required: + - content + - role + title: OpenAIResponseMessage + description: |- + Corresponds to the various Message types in the Responses API. + They are all under one type because the Responses API gives them all + the same "type" value, and there is no way to tell them apart in certain + scenarios. + OpenAIResponseMessage-Output: + properties: + content: + anyOf: + - type: string + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentText' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentImage' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentFile' + discriminator: + propertyName: type + mapping: + input_file: '#/components/schemas/OpenAIResponseInputMessageContentFile' + input_image: '#/components/schemas/OpenAIResponseInputMessageContentImage' + input_text: '#/components/schemas/OpenAIResponseInputMessageContentText' + type: array + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + discriminator: + propertyName: type + mapping: + output_text: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + type: array + title: Content + role: + anyOf: + - type: string + const: system + - type: string + const: developer + - type: string + const: user + - type: string + const: assistant + title: Role + type: + type: string + const: message + title: Type + default: message + id: + anyOf: + - type: string + - type: 'null' + title: Id + status: + anyOf: + - type: string + - type: 'null' + title: Status + type: object + required: + - content + - role + title: OpenAIResponseMessage + description: |- + Corresponds to the various Message types in the Responses API. + They are all under one type because the Responses API gives them all + the same "type" value, and there is no way to tell them apart in certain + scenarios. + OpenAIResponseObject: + properties: + created_at: + type: integer + title: Created At + error: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseError' + - type: 'null' + id: + type: string + title: Id + model: + type: string + title: Model + object: + type: string + const: response + title: Object + default: response + output: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage-Output' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + discriminator: + propertyName: type + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage-Output' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + type: array + title: Output + parallel_tool_calls: + type: boolean + title: Parallel Tool Calls + default: false + previous_response_id: + anyOf: + - type: string + - type: 'null' + title: Previous Response Id + prompt: + anyOf: + - $ref: '#/components/schemas/OpenAIResponsePrompt' + - type: 'null' + status: + type: string + title: Status + temperature: + anyOf: + - type: number + - type: 'null' + title: Temperature + text: + $ref: '#/components/schemas/OpenAIResponseText' + default: + format: + type: text + top_p: + anyOf: + - type: number + - type: 'null' + title: Top P + tools: + anyOf: + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFileSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFunction' + - $ref: '#/components/schemas/OpenAIResponseToolMCP' + discriminator: + propertyName: type + mapping: + file_search: '#/components/schemas/OpenAIResponseInputToolFileSearch' + function: '#/components/schemas/OpenAIResponseInputToolFunction' + mcp: '#/components/schemas/OpenAIResponseToolMCP' + web_search: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_2025_08_26: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_preview: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_preview_2025_03_11: '#/components/schemas/OpenAIResponseInputToolWebSearch' + type: array + - type: 'null' + title: Tools + truncation: + anyOf: + - type: string + - type: 'null' + title: Truncation + usage: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseUsage' + - type: 'null' + instructions: + anyOf: + - type: string + - type: 'null' + title: Instructions + type: object + required: + - created_at + - id + - model + - output + - status + title: OpenAIResponseObject + description: Complete OpenAI response object containing generation results and metadata. + OpenAIResponseOutputMessageContentOutputText: + properties: + text: + type: string + title: Text + type: + type: string + const: output_text + title: Type + default: output_text + annotations: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationFilePath' + discriminator: + propertyName: type + mapping: + container_file_citation: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + file_citation: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + file_path: '#/components/schemas/OpenAIResponseAnnotationFilePath' + url_citation: '#/components/schemas/OpenAIResponseAnnotationCitation' + type: array + title: Annotations + type: object + required: + - text + title: OpenAIResponseOutputMessageContentOutputText + OpenAIResponseOutputMessageFileSearchToolCall: + properties: + id: + type: string + title: Id + queries: + items: + type: string + type: array + title: Queries + status: + type: string + title: Status + type: + type: string + const: file_search_call + title: Type + default: file_search_call + results: + anyOf: + - items: + $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCallResults' + type: array + - type: 'null' + title: Results + type: object + required: + - id + - queries + - status + title: OpenAIResponseOutputMessageFileSearchToolCall + description: File search tool call output message for OpenAI responses. + OpenAIResponseOutputMessageFileSearchToolCallResults: + properties: + attributes: + additionalProperties: true + type: object + title: Attributes + file_id: + type: string + title: File Id + filename: + type: string + title: Filename + score: + type: number + title: Score + text: + type: string + title: Text + type: object + required: + - attributes + - file_id + - filename + - score + - text + title: OpenAIResponseOutputMessageFileSearchToolCallResults + description: Search results returned by the file search operation. + OpenAIResponseOutputMessageFunctionToolCall: + properties: + call_id: + type: string + title: Call Id + name: + type: string + title: Name + arguments: + type: string + title: Arguments + type: + type: string + const: function_call + title: Type + default: function_call + id: + anyOf: + - type: string + - type: 'null' + title: Id + status: + anyOf: + - type: string + - type: 'null' + title: Status + type: object + required: + - call_id + - name + - arguments + title: OpenAIResponseOutputMessageFunctionToolCall + description: Function tool call output message for OpenAI responses. + OpenAIResponseOutputMessageMCPCall: + properties: + id: + type: string + title: Id + type: + type: string + const: mcp_call + title: Type + default: mcp_call + arguments: + type: string + title: Arguments + name: + type: string + title: Name + server_label: + type: string + title: Server Label + error: + anyOf: + - type: string + - type: 'null' + title: Error + output: + anyOf: + - type: string + - type: 'null' + title: Output + type: object + required: + - id + - arguments + - name + - server_label + title: OpenAIResponseOutputMessageMCPCall + description: Model Context Protocol (MCP) call output message for OpenAI responses. + OpenAIResponseOutputMessageMCPListTools: + properties: + id: + type: string + title: Id + type: + type: string + const: mcp_list_tools + title: Type + default: mcp_list_tools + server_label: + type: string + title: Server Label + tools: + items: + $ref: '#/components/schemas/MCPListToolsTool' + type: array + title: Tools + type: object + required: + - id + - server_label + - tools + title: OpenAIResponseOutputMessageMCPListTools + description: MCP list tools output message containing available tools from an MCP server. + OpenAIResponseOutputMessageWebSearchToolCall: + properties: + id: + type: string + title: Id + status: + type: string + title: Status + type: + type: string + const: web_search_call + title: Type + default: web_search_call + type: object + required: + - id + - status + title: OpenAIResponseOutputMessageWebSearchToolCall + description: Web search tool call output message for OpenAI responses. + OpenAIResponsePrompt: + properties: + id: + type: string + title: Id + variables: + anyOf: + - additionalProperties: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentText' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentImage' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentFile' + discriminator: + propertyName: type + mapping: + input_file: '#/components/schemas/OpenAIResponseInputMessageContentFile' + input_image: '#/components/schemas/OpenAIResponseInputMessageContentImage' + input_text: '#/components/schemas/OpenAIResponseInputMessageContentText' + type: object + - type: 'null' + title: Variables + version: + anyOf: + - type: string + - type: 'null' + title: Version + type: object + required: + - id + title: OpenAIResponsePrompt + description: OpenAI compatible Prompt object that is used in OpenAI responses. + OpenAIResponseText: + properties: + format: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseTextFormat' + - type: 'null' + type: object + title: OpenAIResponseText + description: Text response configuration for OpenAI responses. + OpenAIResponseTextFormat: + properties: + type: + anyOf: + - type: string + const: text + - type: string + const: json_schema + - type: string + const: json_object + title: Type + name: + anyOf: + - type: string + - type: 'null' + title: Name + schema: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Schema + description: + anyOf: + - type: string + - type: 'null' + title: Description + strict: + anyOf: + - type: boolean + - type: 'null' + title: Strict + type: object + title: OpenAIResponseTextFormat + description: Configuration for Responses API text format. + OpenAIResponseToolMCP: + properties: + type: + type: string + const: mcp + title: Type + default: mcp + server_label: + type: string + title: Server Label + allowed_tools: + anyOf: + - items: + type: string + type: array + - $ref: '#/components/schemas/AllowedToolsFilter' + - type: 'null' + title: Allowed Tools + type: object + required: + - server_label + title: OpenAIResponseToolMCP + description: Model Context Protocol (MCP) tool configuration for OpenAI response object. + OpenAIResponseUsage: + properties: + input_tokens: + type: integer + title: Input Tokens + output_tokens: + type: integer + title: Output Tokens + total_tokens: + type: integer + title: Total Tokens + input_tokens_details: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseUsageInputTokensDetails' + - type: 'null' + output_tokens_details: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseUsageOutputTokensDetails' + - type: 'null' + type: object + required: + - input_tokens + - output_tokens + - total_tokens + title: OpenAIResponseUsage + description: Usage information for OpenAI response. + OpenAIResponseUsageInputTokensDetails: + properties: + cached_tokens: + anyOf: + - type: integer + - type: 'null' + title: Cached Tokens + type: object + title: OpenAIResponseUsageInputTokensDetails + description: Token details for input tokens in OpenAI response usage. + OpenAIResponseUsageOutputTokensDetails: + properties: + reasoning_tokens: + anyOf: + - type: integer + - type: 'null' + title: Reasoning Tokens + type: object + title: OpenAIResponseUsageOutputTokensDetails + description: Token details for output tokens in OpenAI response usage. + OpenAISystemMessageParam: + properties: + role: + type: string + const: system + title: Role + default: system + content: + anyOf: + - type: string + - items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + title: Content + name: + anyOf: + - type: string + - type: 'null' + title: Name + type: object + required: + - content + title: OpenAISystemMessageParam + description: A system message providing instructions or context to the model. + OpenAITokenLogProb: + properties: + token: + type: string + title: Token + bytes: + anyOf: + - items: + type: integer + type: array + - type: 'null' + title: Bytes + logprob: + type: number + title: Logprob + top_logprobs: + items: + $ref: '#/components/schemas/OpenAITopLogProb' + type: array + title: Top Logprobs + type: object + required: + - token + - logprob + - top_logprobs + title: OpenAITokenLogProb + description: |- + The log probability for a token from an OpenAI-compatible chat completion response. + + :token: The token + :bytes: (Optional) The bytes for the token + :logprob: The log probability of the token + :top_logprobs: The top log probabilities for the token + OpenAIToolMessageParam: + properties: + role: + type: string + const: tool + title: Role + default: tool + tool_call_id: + type: string + title: Tool Call Id + content: + anyOf: + - type: string + - items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + title: Content + type: object + required: + - tool_call_id + - content + title: OpenAIToolMessageParam + description: A message representing the result of a tool invocation in an OpenAI-compatible chat completion request. + OpenAITopLogProb: + properties: + token: + type: string + title: Token + bytes: + anyOf: + - items: + type: integer + type: array + - type: 'null' + title: Bytes + logprob: + type: number + title: Logprob + type: object + required: + - token + - logprob + title: OpenAITopLogProb + description: |- + The top log probability for a token from an OpenAI-compatible chat completion response. + + :token: The token + :bytes: (Optional) The bytes for the token + :logprob: The log probability of the token + OpenAIUserMessageParam-Input: + properties: + role: + type: string + const: user + title: Role + default: user + content: + anyOf: + - type: string + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + - $ref: '#/components/schemas/OpenAIFile' + discriminator: + propertyName: type + mapping: + file: '#/components/schemas/OpenAIFile' + image_url: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + text: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + title: Content + name: + anyOf: + - type: string + - type: 'null' + title: Name + type: object + required: + - content + title: OpenAIUserMessageParam + description: A message from the user in an OpenAI-compatible chat completion request. + OpenAIUserMessageParam-Output: + properties: + role: + type: string + const: user + title: Role + default: user + content: + anyOf: + - type: string + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + - $ref: '#/components/schemas/OpenAIFile' + discriminator: + propertyName: type + mapping: + file: '#/components/schemas/OpenAIFile' + image_url: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + text: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + title: Content + name: + anyOf: + - type: string + - type: 'null' + title: Name + type: object + required: + - content + title: OpenAIUserMessageParam + description: A message from the user in an OpenAI-compatible chat completion request. + OptimizerConfig: + properties: + optimizer_type: + $ref: '#/components/schemas/OptimizerType' + lr: + type: number + title: Lr + weight_decay: + type: number + title: Weight Decay + num_warmup_steps: + type: integer + title: Num Warmup Steps + type: object + required: + - optimizer_type + - lr + - weight_decay + - num_warmup_steps + title: OptimizerConfig + description: Configuration parameters for the optimization algorithm. + OptimizerType: + type: string + enum: + - adam + - adamw + - sgd + title: OptimizerType + description: Available optimizer algorithms for training. + Order: + type: string + enum: + - asc + - desc + title: Order + description: Sort order for paginated responses. + OutputTokensDetails: + properties: + reasoning_tokens: + type: integer + title: Reasoning Tokens + additionalProperties: true + type: object + required: + - reasoning_tokens + title: OutputTokensDetails + PostTrainingJob: + properties: + job_uuid: + type: string + title: Job Uuid + type: object + required: + - job_uuid + title: PostTrainingJob + Prompt: + properties: + prompt: + anyOf: + - type: string + - type: 'null' + title: Prompt + description: The system prompt with variable placeholders + version: + type: integer + minimum: 1.0 + title: Version + description: Version (integer starting at 1, incremented on save) + prompt_id: + type: string + title: Prompt Id + description: Unique identifier in format 'pmpt_<48-digit-hash>' + variables: + items: + type: string + type: array + title: Variables + description: List of variable names that can be used in the prompt template + is_default: + type: boolean + title: Is Default + description: Boolean indicating whether this version is the default version + default: false + type: object + required: + - version + - prompt_id + title: Prompt + description: A prompt resource representing a stored OpenAI Compatible prompt template in Llama Stack. + ProviderInfo: + properties: + api: + type: string + title: Api + provider_id: + type: string + title: Provider Id + provider_type: + type: string + title: Provider Type + config: + additionalProperties: true + type: object + title: Config + health: + additionalProperties: true + type: object + title: Health + type: object + required: + - api + - provider_id + - provider_type + - config + - health + title: ProviderInfo + description: Information about a registered provider including its configuration and health status. + QATFinetuningConfig: + properties: + type: + type: string + const: QAT + title: Type + default: QAT + quantizer_name: + type: string + title: Quantizer Name + group_size: + type: integer + title: Group Size + type: object + required: + - quantizer_name + - group_size + title: QATFinetuningConfig + description: Configuration for Quantization-Aware Training (QAT) fine-tuning. + QueryChunksResponse: + properties: + chunks: + items: + $ref: '#/components/schemas/Chunk-Output' + type: array + title: Chunks + scores: + items: + type: number + type: array + title: Scores + type: object + required: + - chunks + - scores + title: QueryChunksResponse + description: Response from querying chunks in a vector database. + RegexParserScoringFnParams: + properties: + type: + type: string + const: regex_parser + title: Type + default: regex_parser + parsing_regexes: + items: + type: string + type: array + title: Parsing Regexes + description: Regex to extract the answer from generated response + aggregation_functions: + items: + $ref: '#/components/schemas/AggregationFunctionType' + type: array + title: Aggregation Functions + description: Aggregation functions to apply to the scores of each row + type: object + title: RegexParserScoringFnParams + description: Parameters for regex parser scoring function configuration. + RerankData: + properties: index: type: integer - logprobs: - $ref: '#/components/schemas/OpenAIChoiceLogprobs' - additionalProperties: false + title: Index + relevance_score: + type: number + title: Relevance Score + type: object required: - - finish_reason - - text - - index - title: OpenAICompletionChoice - description: >- - A choice from an OpenAI-compatible completion response. - ConversationItem: + - index + - relevance_score + title: RerankData + description: A single rerank result from a reranking response. + RerankResponse: + properties: + data: + items: + $ref: '#/components/schemas/RerankData' + type: array + title: Data + type: object + required: + - data + title: RerankResponse + description: Response from a reranking request. + RowsDataSource: + properties: + type: + type: string + const: rows + title: Type + default: rows + rows: + items: + additionalProperties: true + type: object + type: array + title: Rows + type: object + required: + - rows + title: RowsDataSource + description: A dataset stored in rows. + RunShieldResponse: + properties: + violation: + anyOf: + - $ref: '#/components/schemas/SafetyViolation' + - type: 'null' + type: object + title: RunShieldResponse + description: Response from running a safety shield. + SafetyViolation: + properties: + violation_level: + $ref: '#/components/schemas/ViolationLevel' + user_message: + anyOf: + - type: string + - type: 'null' + title: User Message + metadata: + additionalProperties: true + type: object + title: Metadata + type: object + required: + - violation_level + title: SafetyViolation + description: Details of a safety violation detected by content moderation. + SamplingParams: + properties: + strategy: + oneOf: + - $ref: '#/components/schemas/GreedySamplingStrategy' + - $ref: '#/components/schemas/TopPSamplingStrategy' + - $ref: '#/components/schemas/TopKSamplingStrategy' + title: Strategy + discriminator: + propertyName: type + mapping: + greedy: '#/components/schemas/GreedySamplingStrategy' + top_k: '#/components/schemas/TopKSamplingStrategy' + top_p: '#/components/schemas/TopPSamplingStrategy' + max_tokens: + anyOf: + - type: integer + - type: 'null' + title: Max Tokens + repetition_penalty: + anyOf: + - type: number + - type: 'null' + title: Repetition Penalty + default: 1.0 + stop: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: Stop + type: object + title: SamplingParams + description: Sampling parameters. + ScoreBatchResponse: + properties: + dataset_id: + anyOf: + - type: string + - type: 'null' + title: Dataset Id + results: + additionalProperties: + $ref: '#/components/schemas/ScoringResult' + type: object + title: Results + type: object + required: + - results + title: ScoreBatchResponse + description: Response from batch scoring operations on datasets. + ScoreResponse: + properties: + results: + additionalProperties: + $ref: '#/components/schemas/ScoringResult' + type: object + title: Results + type: object + required: + - results + title: ScoreResponse + description: The response from scoring. + ScoringFn: + properties: + identifier: + type: string + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: + type: string + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: scoring_function + title: Type + default: scoring_function + description: + anyOf: + - type: string + - type: 'null' + title: Description + metadata: + additionalProperties: true + type: object + title: Metadata + description: Any additional metadata for this definition + return_type: + oneOf: + - $ref: '#/components/schemas/StringType' + - $ref: '#/components/schemas/NumberType' + - $ref: '#/components/schemas/BooleanType' + - $ref: '#/components/schemas/ArrayType' + - $ref: '#/components/schemas/ObjectType' + - $ref: '#/components/schemas/JsonType' + - $ref: '#/components/schemas/UnionType' + - $ref: '#/components/schemas/ChatCompletionInputType' + - $ref: '#/components/schemas/CompletionInputType' + title: Return Type + description: The return type of the deterministic function + discriminator: + propertyName: type + mapping: + array: '#/components/schemas/ArrayType' + boolean: '#/components/schemas/BooleanType' + chat_completion_input: '#/components/schemas/ChatCompletionInputType' + completion_input: '#/components/schemas/CompletionInputType' + json: '#/components/schemas/JsonType' + number: '#/components/schemas/NumberType' + object: '#/components/schemas/ObjectType' + string: '#/components/schemas/StringType' + union: '#/components/schemas/UnionType' + params: + anyOf: + - oneOf: + - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams' + - $ref: '#/components/schemas/RegexParserScoringFnParams' + - $ref: '#/components/schemas/BasicScoringFnParams' + discriminator: + propertyName: type + mapping: + basic: '#/components/schemas/BasicScoringFnParams' + llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams' + regex_parser: '#/components/schemas/RegexParserScoringFnParams' + - type: 'null' + title: Params + description: The parameters for the scoring function for benchmark eval, these can be overridden for app eval + type: object + required: + - identifier + - provider_id + - return_type + title: ScoringFn + description: A scoring function resource for evaluating model outputs. + ScoringResult: + properties: + score_rows: + items: + additionalProperties: true + type: object + type: array + title: Score Rows + aggregated_results: + additionalProperties: true + type: object + title: Aggregated Results + type: object + required: + - score_rows + - aggregated_results + title: ScoringResult + description: A scoring result for a single row. + SearchRankingOptions: + properties: + ranker: + anyOf: + - type: string + - type: 'null' + title: Ranker + score_threshold: + anyOf: + - type: number + - type: 'null' + title: Score Threshold + default: 0.0 + type: object + title: SearchRankingOptions + description: Options for ranking and filtering search results. + Shield: + properties: + identifier: + type: string + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: + type: string + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: shield + title: Type + default: shield + params: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Params + type: object + required: + - identifier + - provider_id + title: Shield + description: A safety shield resource that can be used to check content. + StringType: + properties: + type: + type: string + const: string + title: Type + default: string + type: object + title: StringType + description: Parameter type for string values. + SystemMessage: + properties: + role: + type: string + const: system + title: Role + default: system + content: + anyOf: + - type: string + - oneOf: + - $ref: '#/components/schemas/ImageContentItem-Input' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Input' + text: '#/components/schemas/TextContentItem' + - items: + oneOf: + - $ref: '#/components/schemas/ImageContentItem-Input' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Input' + text: '#/components/schemas/TextContentItem' + type: array + title: Content + type: object + required: + - content + title: SystemMessage + description: A system message providing instructions or context to the model. + TextContentItem: + properties: + type: + type: string + const: text + title: Type + default: text + text: + type: string + title: Text + type: object + required: + - text + title: TextContentItem + description: A text content item + ToolDef: + properties: + toolgroup_id: + anyOf: + - type: string + - type: 'null' + title: Toolgroup Id + name: + type: string + title: Name + description: + anyOf: + - type: string + - type: 'null' + title: Description + input_schema: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Input Schema + output_schema: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Output Schema + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + type: object + required: + - name + title: ToolDef + description: Tool definition used in runtime contexts. + ToolGroup: + properties: + identifier: + type: string + title: Identifier + description: Unique identifier for this resource in llama stack + provider_resource_id: + anyOf: + - type: string + - type: 'null' + title: Provider Resource Id + description: Unique identifier for this resource in the provider + provider_id: + type: string + title: Provider Id + description: ID of the provider that owns this resource + type: + type: string + const: tool_group + title: Type + default: tool_group + mcp_endpoint: + anyOf: + - $ref: '#/components/schemas/URL' + - type: 'null' + args: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Args + type: object + required: + - identifier + - provider_id + title: ToolGroup + description: A group of related tools managed together. + ToolInvocationResult: + properties: + content: + anyOf: + - type: string + - oneOf: + - $ref: '#/components/schemas/ImageContentItem-Output' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Output' + text: '#/components/schemas/TextContentItem' + - items: + oneOf: + - $ref: '#/components/schemas/ImageContentItem-Output' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Output' + text: '#/components/schemas/TextContentItem' + type: array + - type: 'null' + title: Content + error_message: + anyOf: + - type: string + - type: 'null' + title: Error Message + error_code: + anyOf: + - type: integer + - type: 'null' + title: Error Code + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + type: object + title: ToolInvocationResult + description: Result of a tool invocation. + TopKSamplingStrategy: + properties: + type: + type: string + const: top_k + title: Type + default: top_k + top_k: + type: integer + minimum: 1.0 + title: Top K + type: object + required: + - top_k + title: TopKSamplingStrategy + description: Top-k sampling strategy that restricts sampling to the k most likely tokens. + TopPSamplingStrategy: + properties: + type: + type: string + const: top_p + title: Type + default: top_p + temperature: + anyOf: + - type: number + minimum: 0.0 + - type: 'null' + title: Temperature + top_p: + anyOf: + - type: number + - type: 'null' + title: Top P + default: 0.95 + type: object + required: + - temperature + title: TopPSamplingStrategy + description: Top-p (nucleus) sampling strategy that samples from the smallest set of tokens with cumulative probability >= p. + TrainingConfig: + properties: + n_epochs: + type: integer + title: N Epochs + max_steps_per_epoch: + type: integer + title: Max Steps Per Epoch + default: 1 + gradient_accumulation_steps: + type: integer + title: Gradient Accumulation Steps + default: 1 + max_validation_steps: + anyOf: + - type: integer + - type: 'null' + title: Max Validation Steps + default: 1 + data_config: + anyOf: + - $ref: '#/components/schemas/DataConfig' + - type: 'null' + optimizer_config: + anyOf: + - $ref: '#/components/schemas/OptimizerConfig' + - type: 'null' + efficiency_config: + anyOf: + - $ref: '#/components/schemas/EfficiencyConfig' + - type: 'null' + dtype: + anyOf: + - type: string + - type: 'null' + title: Dtype + default: bf16 + type: object + required: + - n_epochs + title: TrainingConfig + description: Comprehensive configuration for the training process. + URIDataSource: + properties: + type: + type: string + const: uri + title: Type + default: uri + uri: + type: string + title: Uri + type: object + required: + - uri + title: URIDataSource + description: A dataset that can be obtained from a URI. + URL: + properties: + uri: + type: string + title: Uri + type: object + required: + - uri + title: URL + description: A URL reference to external content. + UnionType: + properties: + type: + type: string + const: union + title: Type + default: union + type: object + title: UnionType + description: Parameter type for union values. + VectorStoreChunkingStrategyAuto: + properties: + type: + type: string + const: auto + title: Type + default: auto + type: object + title: VectorStoreChunkingStrategyAuto + description: Automatic chunking strategy for vector store files. + VectorStoreChunkingStrategyStatic: + properties: + type: + type: string + const: static + title: Type + default: static + static: + $ref: '#/components/schemas/VectorStoreChunkingStrategyStaticConfig' + type: object + required: + - static + title: VectorStoreChunkingStrategyStatic + description: Static chunking strategy with configurable parameters. + VectorStoreChunkingStrategyStaticConfig: + properties: + chunk_overlap_tokens: + type: integer + title: Chunk Overlap Tokens + default: 400 + max_chunk_size_tokens: + type: integer + maximum: 4096.0 + minimum: 100.0 + title: Max Chunk Size Tokens + default: 800 + type: object + title: VectorStoreChunkingStrategyStaticConfig + description: Configuration for static chunking strategy. + VectorStoreContent: + properties: + type: + type: string + const: text + title: Type + text: + type: string + title: Text + type: object + required: + - type + - text + title: VectorStoreContent + description: Content item from a vector store file or search result. + VectorStoreDeleteResponse: + properties: + id: + type: string + title: Id + object: + type: string + title: Object + default: vector_store.deleted + deleted: + type: boolean + title: Deleted + default: true + type: object + required: + - id + title: VectorStoreDeleteResponse + description: Response from deleting a vector store. + VectorStoreFileBatchObject: + properties: + id: + type: string + title: Id + object: + type: string + title: Object + default: vector_store.file_batch + created_at: + type: integer + title: Created At + vector_store_id: + type: string + title: Vector Store Id + status: + anyOf: + - type: string + const: completed + - type: string + const: in_progress + - type: string + const: cancelled + - type: string + const: failed + title: Status + file_counts: + $ref: '#/components/schemas/VectorStoreFileCounts' + type: object + required: + - id + - created_at + - vector_store_id + - status + - file_counts + title: VectorStoreFileBatchObject + description: OpenAI Vector Store File Batch object. + VectorStoreFileContentsResponse: + properties: + file_id: + type: string + title: File Id + filename: + type: string + title: Filename + attributes: + additionalProperties: true + type: object + title: Attributes + content: + items: + $ref: '#/components/schemas/VectorStoreContent' + type: array + title: Content + type: object + required: + - file_id + - filename + - attributes + - content + title: VectorStoreFileContentsResponse + description: Response from retrieving the contents of a vector store file. + VectorStoreFileCounts: + properties: + completed: + type: integer + title: Completed + cancelled: + type: integer + title: Cancelled + failed: + type: integer + title: Failed + in_progress: + type: integer + title: In Progress + total: + type: integer + title: Total + type: object + required: + - completed + - cancelled + - failed + - in_progress + - total + title: VectorStoreFileCounts + description: File processing status counts for a vector store. + VectorStoreFileDeleteResponse: + properties: + id: + type: string + title: Id + object: + type: string + title: Object + default: vector_store.file.deleted + deleted: + type: boolean + title: Deleted + default: true + type: object + required: + - id + title: VectorStoreFileDeleteResponse + description: Response from deleting a vector store file. + VectorStoreFileLastError: + properties: + code: + anyOf: + - type: string + const: server_error + - type: string + const: rate_limit_exceeded + title: Code + message: + type: string + title: Message + type: object + required: + - code + - message + title: VectorStoreFileLastError + description: Error information for failed vector store file processing. + VectorStoreFileObject: + properties: + id: + type: string + title: Id + object: + type: string + title: Object + default: vector_store.file + attributes: + additionalProperties: true + type: object + title: Attributes + chunking_strategy: + oneOf: + - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' + - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + title: Chunking Strategy + discriminator: + propertyName: type + mapping: + auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' + static: '#/components/schemas/VectorStoreChunkingStrategyStatic' + created_at: + type: integer + title: Created At + last_error: + anyOf: + - $ref: '#/components/schemas/VectorStoreFileLastError' + - type: 'null' + status: + anyOf: + - type: string + const: completed + - type: string + const: in_progress + - type: string + const: cancelled + - type: string + const: failed + title: Status + usage_bytes: + type: integer + title: Usage Bytes + default: 0 + vector_store_id: + type: string + title: Vector Store Id + type: object + required: + - id + - chunking_strategy + - created_at + - status + - vector_store_id + title: VectorStoreFileObject + description: OpenAI Vector Store File object. + VectorStoreObject: + properties: + id: + type: string + title: Id + object: + type: string + title: Object + default: vector_store + created_at: + type: integer + title: Created At + name: + anyOf: + - type: string + - type: 'null' + title: Name + usage_bytes: + type: integer + title: Usage Bytes + default: 0 + file_counts: + $ref: '#/components/schemas/VectorStoreFileCounts' + status: + type: string + title: Status + default: completed + expires_after: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Expires After + expires_at: + anyOf: + - type: integer + - type: 'null' + title: Expires At + last_active_at: + anyOf: + - type: integer + - type: 'null' + title: Last Active At + metadata: + additionalProperties: true + type: object + title: Metadata + type: object + required: + - id + - created_at + - file_counts + title: VectorStoreObject + description: OpenAI Vector Store object. + VectorStoreSearchResponse: + properties: + file_id: + type: string + title: File Id + filename: + type: string + title: Filename + score: + type: number + title: Score + attributes: + anyOf: + - additionalProperties: + anyOf: + - type: string + - type: number + - type: boolean + type: object + - type: 'null' + title: Attributes + content: + items: + $ref: '#/components/schemas/VectorStoreContent' + type: array + title: Content + type: object + required: + - file_id + - filename + - score + - content + title: VectorStoreSearchResponse + description: Response from searching a vector store. + VectorStoreSearchResponsePage: + properties: + object: + type: string + title: Object + default: vector_store.search_results.page + search_query: + items: + type: string + type: array + title: Search Query + data: + items: + $ref: '#/components/schemas/VectorStoreSearchResponse' + type: array + title: Data + has_more: + type: boolean + title: Has More + default: false + next_page: + anyOf: + - type: string + - type: 'null' + title: Next Page + type: object + required: + - search_query + - data + title: VectorStoreSearchResponsePage + description: Paginated response from searching a vector store. + VersionInfo: + properties: + version: + type: string + title: Version + type: object + required: + - version + title: VersionInfo + description: Version information for the service. + ViolationLevel: + type: string + enum: + - info + - warn + - error + title: ViolationLevel + description: Severity level of a safety violation. + _URLOrData: + properties: + url: + anyOf: + - $ref: '#/components/schemas/URL' + - type: 'null' + data: + anyOf: + - type: string + - type: 'null' + contentEncoding: base64 + title: Data + type: object + title: _URLOrData + description: A URL or a base64 encoded string + _batches_Request: + properties: + input_file_id: + type: string + title: Input File Id + endpoint: + type: string + title: Endpoint + completion_window: + type: string + const: 24h + title: Completion Window + metadata: + anyOf: + - additionalProperties: + type: string + type: object + - type: 'null' + title: Metadata + idempotency_key: + anyOf: + - type: string + - type: 'null' + title: Idempotency Key + type: object + required: + - input_file_id + - endpoint + - completion_window + title: _batches_Request + _conversations_Request: + properties: + items: + anyOf: + - items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage-Input' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + discriminator: + propertyName: type + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + function_call_output: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_approval_response: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage-Input' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + type: array + - type: 'null' + title: Items + metadata: + anyOf: + - additionalProperties: + type: string + type: object + - type: 'null' + title: Metadata + type: object + title: _conversations_Request + _conversations_conversation_id_Request: + properties: + metadata: + additionalProperties: + type: string + type: object + title: Metadata + type: object + required: + - metadata + title: _conversations_conversation_id_Request + _conversations_conversation_id_items_Request: + properties: + items: + items: + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage-Input' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + discriminator: + propertyName: type + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + function_call_output: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_approval_response: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage-Input' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + type: array + title: Items + type: object + required: + - items + title: _conversations_conversation_id_items_Request + _datasets_Request: + properties: + purpose: + title: Purpose + source: + title: Source + metadata: + title: Metadata + dataset_id: + title: Dataset Id + type: object + required: + - purpose + - source + title: _datasets_Request + _eval_benchmarks_benchmark_id_evaluations_Request: + properties: + input_rows: + items: + additionalProperties: true + type: object + type: array + title: Input Rows + scoring_functions: + items: + type: string + type: array + title: Scoring Functions + benchmark_config: + $ref: '#/components/schemas/BenchmarkConfig' + type: object + required: + - input_rows + - scoring_functions + - benchmark_config + title: _eval_benchmarks_benchmark_id_evaluations_Request + _inference_rerank_Request: + properties: + model: + type: string + title: Model + query: + anyOf: + - type: string + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + title: Query + items: + items: + anyOf: + - type: string + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + type: array + title: Items + max_num_results: + anyOf: + - type: integer + - type: 'null' + title: Max Num Results + type: object + required: + - model + - query + - items + title: _inference_rerank_Request + _models_Request: + properties: + model_id: + type: string + title: Model Id + provider_model_id: + anyOf: + - type: string + - type: 'null' + title: Provider Model Id + provider_id: + anyOf: + - type: string + - type: 'null' + title: Provider Id + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + model_type: + anyOf: + - $ref: '#/components/schemas/ModelType' + - type: 'null' + type: object + required: + - model_id + title: _models_Request + _moderations_Request: + properties: + input: + anyOf: + - type: string + - items: + type: string + type: array + title: Input + model: + anyOf: + - type: string + - type: 'null' + title: Model + type: object + required: + - input + title: _moderations_Request + _post_training_preference_optimize_Request: + properties: + job_uuid: + type: string + title: Job Uuid + finetuned_model: + type: string + title: Finetuned Model + algorithm_config: + $ref: '#/components/schemas/DPOAlignmentConfig' + training_config: + $ref: '#/components/schemas/TrainingConfig' + hyperparam_search_config: + additionalProperties: true + type: object + title: Hyperparam Search Config + logger_config: + additionalProperties: true + type: object + title: Logger Config + type: object + required: + - job_uuid + - finetuned_model + - algorithm_config + - training_config + - hyperparam_search_config + - logger_config + title: _post_training_preference_optimize_Request + _post_training_supervised_fine_tune_Request: + properties: + job_uuid: + type: string + title: Job Uuid + training_config: + $ref: '#/components/schemas/TrainingConfig' + hyperparam_search_config: + additionalProperties: true + type: object + title: Hyperparam Search Config + logger_config: + additionalProperties: true + type: object + title: Logger Config + model: + anyOf: + - type: string + - type: 'null' + title: Model + description: Model descriptor for training if not in provider config` + checkpoint_dir: + anyOf: + - type: string + - type: 'null' + title: Checkpoint Dir + algorithm_config: + anyOf: + - oneOf: + - $ref: '#/components/schemas/LoraFinetuningConfig' + - $ref: '#/components/schemas/QATFinetuningConfig' + discriminator: + propertyName: type + mapping: + LoRA: '#/components/schemas/LoraFinetuningConfig' + QAT: '#/components/schemas/QATFinetuningConfig' + - type: 'null' + title: Algorithm Config + type: object + required: + - job_uuid + - training_config + - hyperparam_search_config + - logger_config + title: _post_training_supervised_fine_tune_Request + _prompts_Request: + properties: + prompt: + type: string + title: Prompt + variables: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: Variables + type: object + required: + - prompt + title: _prompts_Request + _prompts_prompt_id_Request: + properties: + prompt: + type: string + title: Prompt + version: + type: integer + title: Version + variables: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: Variables + set_as_default: + type: boolean + title: Set As Default + default: true + type: object + required: + - prompt + - version + title: _prompts_prompt_id_Request + _prompts_prompt_id_set_default_version_Request: + properties: + version: + type: integer + title: Version + type: object + required: + - version + title: _prompts_prompt_id_set_default_version_Request + _responses_Request: + properties: + input: + title: Input + model: + title: Model + prompt: + title: Prompt + instructions: + title: Instructions + previous_response_id: + title: Previous Response Id + conversation: + title: Conversation + store: + title: Store + default: true + stream: + title: Stream + default: false + temperature: + title: Temperature + text: + title: Text + tools: + title: Tools + include: + title: Include + max_infer_iters: + title: Max Infer Iters + default: 10 + guardrails: + title: Guardrails + type: object + required: + - input + - model + title: _responses_Request + _scoring_score_Request: + properties: + input_rows: + items: + additionalProperties: true + type: object + type: array + title: Input Rows + scoring_functions: + additionalProperties: + anyOf: + - oneOf: + - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams' + - $ref: '#/components/schemas/RegexParserScoringFnParams' + - $ref: '#/components/schemas/BasicScoringFnParams' + discriminator: + propertyName: type + mapping: + basic: '#/components/schemas/BasicScoringFnParams' + llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams' + regex_parser: '#/components/schemas/RegexParserScoringFnParams' + - type: 'null' + type: object + title: Scoring Functions + type: object + required: + - input_rows + - scoring_functions + title: _scoring_score_Request + _scoring_score_batch_Request: + properties: + dataset_id: + type: string + title: Dataset Id + scoring_functions: + additionalProperties: + anyOf: + - oneOf: + - $ref: '#/components/schemas/LLMAsJudgeScoringFnParams' + - $ref: '#/components/schemas/RegexParserScoringFnParams' + - $ref: '#/components/schemas/BasicScoringFnParams' + discriminator: + propertyName: type + mapping: + basic: '#/components/schemas/BasicScoringFnParams' + llm_as_judge: '#/components/schemas/LLMAsJudgeScoringFnParams' + regex_parser: '#/components/schemas/RegexParserScoringFnParams' + - type: 'null' + type: object + title: Scoring Functions + save_results_dataset: + type: boolean + title: Save Results Dataset + default: false + type: object + required: + - dataset_id + - scoring_functions + title: _scoring_score_batch_Request + _shields_Request: + properties: + shield_id: + type: string + title: Shield Id + provider_shield_id: + anyOf: + - type: string + - type: 'null' + title: Provider Shield Id + provider_id: + anyOf: + - type: string + - type: 'null' + title: Provider Id + params: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Params + type: object + required: + - shield_id + title: _shields_Request + _tool_runtime_invoke_Request: + properties: + tool_name: + type: string + title: Tool Name + kwargs: + additionalProperties: true + type: object + title: Kwargs + type: object + required: + - tool_name + - kwargs + title: _tool_runtime_invoke_Request + _vector_io_query_Request: + properties: + vector_store_id: + type: string + title: Vector Store Id + query: + anyOf: + - type: string + - oneOf: + - $ref: '#/components/schemas/ImageContentItem-Input' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Input' + text: '#/components/schemas/TextContentItem' + - items: + oneOf: + - $ref: '#/components/schemas/ImageContentItem-Input' + - $ref: '#/components/schemas/TextContentItem' + discriminator: + propertyName: type + mapping: + image: '#/components/schemas/ImageContentItem-Input' + text: '#/components/schemas/TextContentItem' + type: array + title: Query + params: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Params + type: object + required: + - vector_store_id + - query + title: _vector_io_query_Request + _vector_stores_vector_store_id_Request: + properties: + name: + anyOf: + - type: string + - type: 'null' + title: Name + expires_after: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Expires After + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + type: object + title: _vector_stores_vector_store_id_Request + _vector_stores_vector_store_id_files_Request: + properties: + file_id: + type: string + title: File Id + attributes: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Attributes + chunking_strategy: + anyOf: + - oneOf: + - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' + - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + discriminator: + propertyName: type + mapping: + auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' + static: '#/components/schemas/VectorStoreChunkingStrategyStatic' + - type: 'null' + title: Chunking Strategy + type: object + required: + - file_id + title: _vector_stores_vector_store_id_files_Request + _vector_stores_vector_store_id_files_file_id_Request: + properties: + attributes: + additionalProperties: true + type: object + title: Attributes + type: object + required: + - attributes + title: _vector_stores_vector_store_id_files_file_id_Request + _vector_stores_vector_store_id_search_Request: + properties: + query: + anyOf: + - type: string + - items: + type: string + type: array + title: Query + filters: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Filters + max_num_results: + anyOf: + - type: integer + - type: 'null' + title: Max Num Results + default: 10 + ranking_options: + anyOf: + - $ref: '#/components/schemas/SearchRankingOptions' + - type: 'null' + rewrite_query: + anyOf: + - type: boolean + - type: 'null' + title: Rewrite Query + default: false + search_mode: + anyOf: + - type: string + - type: 'null' + title: Search Mode + default: vector + type: object + required: + - query + title: _vector_stores_vector_store_id_search_Request + Error: + description: Error response from the API. Roughly follows RFC 7807. + properties: + status: + title: Status + type: integer + title: + title: Title + type: string + detail: + title: Detail + type: string + instance: + anyOf: + - type: string + - type: 'null' + title: Instance + nullable: true + required: + - status + - title + - detail + title: Error + type: object + ImageContentItem: + description: A image content item + properties: + type: + const: image + default: image + title: Type + type: string + image: + $ref: '#/components/schemas/_URLOrData' + required: + - image + title: ImageContentItem + type: object + InterleavedContentItem: + discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + InterleavedContent: + anyOf: + - type: string + - discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + - items: + discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + type: array + BuiltinTool: + enum: + - brave_search + - wolfram_alpha + - photogen + - code_interpreter + title: BuiltinTool + type: string + ImageDelta: + description: An image content delta for streaming responses. + properties: + type: + const: image + default: image + title: Type + type: string + image: + format: binary + title: Image + type: string + required: + - image + title: ImageDelta + type: object + TextDelta: + description: A text content delta for streaming responses. + properties: + type: + const: text + default: text + title: Type + type: string + text: + title: Text + type: string + required: + - text + title: TextDelta + type: object + ToolCall: + properties: + call_id: + title: Call Id + type: string + tool_name: + anyOf: + - $ref: '#/components/schemas/BuiltinTool' + - type: string + title: Tool Name + arguments: + title: Arguments + type: string + required: + - call_id + - tool_name + - arguments + title: ToolCall + type: object + ToolCallDelta: + description: A tool call content delta for streaming responses. + properties: + type: + const: tool_call + default: tool_call + title: Type + type: string + tool_call: + anyOf: + - type: string + - $ref: '#/components/schemas/ToolCall' + title: Tool Call + parse_status: + $ref: '#/components/schemas/ToolCallParseStatus' + required: + - tool_call + - parse_status + title: ToolCallDelta + type: object + ToolCallParseStatus: + description: Status of tool call parsing during streaming. + enum: + - started + - in_progress + - failed + - succeeded + title: ToolCallParseStatus + type: string + ContentDelta: + discriminator: + mapping: + image: '#/components/schemas/ImageDelta' + text: '#/components/schemas/TextDelta' + tool_call: '#/components/schemas/ToolCallDelta' + propertyName: type + oneOf: + - $ref: '#/components/schemas/TextDelta' + - $ref: '#/components/schemas/ImageDelta' + - $ref: '#/components/schemas/ToolCallDelta' + ToolDefinition: + properties: + tool_name: + anyOf: + - $ref: '#/components/schemas/BuiltinTool' + - type: string + title: Tool Name + description: + anyOf: + - type: string + - type: 'null' + title: Description + nullable: true + input_schema: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Input Schema + nullable: true + output_schema: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Output Schema + nullable: true + required: + - tool_name + title: ToolDefinition + type: object + SamplingStrategy: + discriminator: + mapping: + greedy: '#/components/schemas/GreedySamplingStrategy' + top_k: '#/components/schemas/TopKSamplingStrategy' + top_p: '#/components/schemas/TopPSamplingStrategy' + propertyName: type + oneOf: + - $ref: '#/components/schemas/GreedySamplingStrategy' + - $ref: '#/components/schemas/TopPSamplingStrategy' + - $ref: '#/components/schemas/TopKSamplingStrategy' + CompletionMessage: + description: A message containing the model's (assistant) response in a chat conversation. + properties: + role: + const: assistant + default: assistant + title: Role + type: string + content: + anyOf: + - type: string + - discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + - items: + discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + type: array + title: Content + stop_reason: + $ref: '#/components/schemas/StopReason' + tool_calls: + anyOf: + - items: + $ref: '#/components/schemas/ToolCall' + type: array + - type: 'null' + title: Tool Calls + required: + - content + - stop_reason + title: CompletionMessage + type: object + StopReason: + enum: + - end_of_turn + - end_of_message + - out_of_tokens + title: StopReason + type: string + ToolResponseMessage: + description: A message representing the result of a tool invocation. + properties: + role: + const: tool + default: tool + title: Role + type: string + call_id: + title: Call Id + type: string + content: + anyOf: + - type: string + - discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + - items: + discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + type: array + title: Content + required: + - call_id + - content + title: ToolResponseMessage + type: object + UserMessage: + description: A message from the user in a chat conversation. + properties: + role: + const: user + default: user + title: Role + type: string + content: + anyOf: + - type: string + - discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + - items: + discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + type: array + title: Content + context: + anyOf: + - type: string + - discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + - items: + discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + type: array + - type: 'null' + title: Context + nullable: true + required: + - content + title: UserMessage + type: object + Message: + discriminator: + mapping: + assistant: '#/components/schemas/CompletionMessage' + system: '#/components/schemas/SystemMessage' + tool: '#/components/schemas/ToolResponseMessage' + user: '#/components/schemas/UserMessage' + propertyName: role + oneOf: + - $ref: '#/components/schemas/UserMessage' + - $ref: '#/components/schemas/SystemMessage' + - $ref: '#/components/schemas/ToolResponseMessage' + - $ref: '#/components/schemas/CompletionMessage' + GrammarResponseFormat: + description: Configuration for grammar-guided response generation. + properties: + type: + const: grammar + default: grammar + title: Type + type: string + bnf: + additionalProperties: true + title: Bnf + type: object + required: + - bnf + title: GrammarResponseFormat + type: object + JsonSchemaResponseFormat: + description: Configuration for JSON schema-guided response generation. + properties: + type: + const: json_schema + default: json_schema + title: Type + type: string + json_schema: + additionalProperties: true + title: Json Schema + type: object + required: + - json_schema + title: JsonSchemaResponseFormat + type: object + ResponseFormat: + discriminator: + mapping: + grammar: '#/components/schemas/GrammarResponseFormat' + json_schema: '#/components/schemas/JsonSchemaResponseFormat' + propertyName: type + oneOf: + - $ref: '#/components/schemas/JsonSchemaResponseFormat' + - $ref: '#/components/schemas/GrammarResponseFormat' + OpenAIChatCompletionContentPartParam: + discriminator: + mapping: + file: '#/components/schemas/OpenAIFile' + image_url: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + text: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + - $ref: '#/components/schemas/OpenAIFile' + OpenAIAssistantMessageParam: + description: A message containing the model's (assistant) response in an OpenAI-compatible chat completion request. + properties: + role: + const: assistant + default: assistant + title: Role + type: string + content: + anyOf: + - type: string + - items: + $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + type: array + - type: 'null' + title: Content + nullable: true + name: + anyOf: + - type: string + - type: 'null' + title: Name + nullable: true + tool_calls: + anyOf: + - items: + $ref: '#/components/schemas/OpenAIChatCompletionToolCall' + type: array + - type: 'null' + title: Tool Calls + nullable: true + title: OpenAIAssistantMessageParam + type: object + OpenAIUserMessageParam: + description: A message from the user in an OpenAI-compatible chat completion request. + properties: + role: + const: user + default: user + title: Role + type: string + content: + anyOf: + - type: string + - items: + discriminator: + mapping: + file: '#/components/schemas/OpenAIFile' + image_url: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + text: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartTextParam' + - $ref: '#/components/schemas/OpenAIChatCompletionContentPartImageParam' + - $ref: '#/components/schemas/OpenAIFile' + type: array + title: Content + name: + anyOf: + - type: string + - type: 'null' + title: Name + nullable: true + required: + - content + title: OpenAIUserMessageParam + type: object + OpenAIMessageParam: + discriminator: + mapping: + assistant: '#/components/schemas/OpenAIAssistantMessageParam' + developer: '#/components/schemas/OpenAIDeveloperMessageParam' + system: '#/components/schemas/OpenAISystemMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + user: '#/components/schemas/OpenAIUserMessageParam' + propertyName: role + oneOf: + - $ref: '#/components/schemas/OpenAIUserMessageParam' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + OpenAIResponseFormatParam: + discriminator: + mapping: + json_object: '#/components/schemas/OpenAIResponseFormatJSONObject' + json_schema: '#/components/schemas/OpenAIResponseFormatJSONSchema' + text: '#/components/schemas/OpenAIResponseFormatText' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseFormatText' + - $ref: '#/components/schemas/OpenAIResponseFormatJSONSchema' + - $ref: '#/components/schemas/OpenAIResponseFormatJSONObject' + VectorStoreChunkingStrategy: + discriminator: + mapping: + auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' + static: '#/components/schemas/VectorStoreChunkingStrategyStatic' + propertyName: type + oneOf: + - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' + - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + VectorStoreFileStatus: + anyOf: + - const: completed + type: string + - const: in_progress + type: string + - const: cancelled + type: string + - const: failed + type: string + OpenAIResponseInputMessageContent: + discriminator: + mapping: + input_file: '#/components/schemas/OpenAIResponseInputMessageContentFile' + input_image: '#/components/schemas/OpenAIResponseInputMessageContentImage' + input_text: '#/components/schemas/OpenAIResponseInputMessageContentText' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentText' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentImage' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentFile' + OpenAIResponseAnnotations: + discriminator: + mapping: + container_file_citation: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + file_citation: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + file_path: '#/components/schemas/OpenAIResponseAnnotationFilePath' + url_citation: '#/components/schemas/OpenAIResponseAnnotationCitation' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationFilePath' + OpenAIResponseOutputMessageContent: + discriminator: + mapping: + output_text: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + OpenAIResponseMessage: + description: |- + Corresponds to the various Message types in the Responses API. + They are all under one type because the Responses API gives them all + the same "type" value, and there is no way to tell them apart in certain + scenarios. + properties: + content: + anyOf: + - type: string + - items: + discriminator: + mapping: + input_file: '#/components/schemas/OpenAIResponseInputMessageContentFile' + input_image: '#/components/schemas/OpenAIResponseInputMessageContentImage' + input_text: '#/components/schemas/OpenAIResponseInputMessageContentText' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentText' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentImage' + - $ref: '#/components/schemas/OpenAIResponseInputMessageContentFile' + type: array + - items: + discriminator: + mapping: + output_text: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseOutputMessageContentOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + type: array + title: Content + role: + anyOf: + - const: system + type: string + - const: developer + type: string + - const: user + type: string + - const: assistant + type: string + title: Role + type: + const: message + default: message + title: Type + type: string + id: + anyOf: + - type: string + - type: 'null' + title: Id + nullable: true + status: + anyOf: + - type: string + - type: 'null' + title: Status + nullable: true + required: + - content + - role + title: OpenAIResponseMessage + type: object + OpenAIResponseOutput: + discriminator: + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + ApprovalFilter: + description: Filter configuration for MCP tool approval requirements. + properties: + always: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: Always + nullable: true + never: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: Never + nullable: true + title: ApprovalFilter + type: object + OpenAIResponseInputToolMCP: + description: Model Context Protocol (MCP) tool configuration for OpenAI response inputs. + properties: + type: + const: mcp + default: mcp + title: Type + type: string + server_label: + title: Server Label + type: string + server_url: + title: Server Url + type: string + headers: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Headers + nullable: true + require_approval: + anyOf: + - const: always + type: string + - const: never + type: string + - $ref: '#/components/schemas/ApprovalFilter' + default: never + title: Require Approval + allowed_tools: + anyOf: + - items: + type: string + type: array + - $ref: '#/components/schemas/AllowedToolsFilter' + - type: 'null' + title: Allowed Tools + nullable: true + required: + - server_label + - server_url + title: OpenAIResponseInputToolMCP + type: object + OpenAIResponseInputTool: + discriminator: + mapping: + file_search: '#/components/schemas/OpenAIResponseInputToolFileSearch' + function: '#/components/schemas/OpenAIResponseInputToolFunction' + mcp: '#/components/schemas/OpenAIResponseInputToolMCP' + web_search: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_2025_08_26: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_preview: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_preview_2025_03_11: '#/components/schemas/OpenAIResponseInputToolWebSearch' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFileSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFunction' + - $ref: '#/components/schemas/OpenAIResponseInputToolMCP' + OpenAIResponseTool: + discriminator: + mapping: + file_search: '#/components/schemas/OpenAIResponseInputToolFileSearch' + function: '#/components/schemas/OpenAIResponseInputToolFunction' + mcp: '#/components/schemas/OpenAIResponseToolMCP' + web_search: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_2025_08_26: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_preview: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_preview_2025_03_11: '#/components/schemas/OpenAIResponseInputToolWebSearch' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFileSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFunction' + - $ref: '#/components/schemas/OpenAIResponseToolMCP' + OpenAIResponseContentPartOutputText: + description: Text content within a streamed response part. + properties: + type: + const: output_text + default: output_text + title: Type + type: string + text: + title: Text + type: string + annotations: + items: + discriminator: + mapping: + container_file_citation: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + file_citation: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + file_path: '#/components/schemas/OpenAIResponseAnnotationFilePath' + url_citation: '#/components/schemas/OpenAIResponseAnnotationCitation' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationFilePath' + title: Annotations + type: array + logprobs: + anyOf: + - items: + additionalProperties: true + type: object + type: array + - type: 'null' + title: Logprobs + nullable: true + required: + - text + title: OpenAIResponseContentPartOutputText + type: object + OpenAIResponseContentPartReasoningText: + description: Reasoning text emitted as part of a streamed response. + properties: + type: + const: reasoning_text + default: reasoning_text + title: Type + type: string + text: + title: Text + type: string + required: + - text + title: OpenAIResponseContentPartReasoningText + type: object + OpenAIResponseContentPart: + discriminator: + mapping: + output_text: '#/components/schemas/OpenAIResponseContentPartOutputText' + reasoning_text: '#/components/schemas/OpenAIResponseContentPartReasoningText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseContentPartOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + - $ref: '#/components/schemas/OpenAIResponseContentPartReasoningText' + OpenAIResponseContentPartReasoningSummary: + description: Reasoning summary part in a streamed response. + properties: + type: + const: summary_text + default: summary_text + title: Type + type: string + text: + title: Text + type: string + required: + - text + title: OpenAIResponseContentPartReasoningSummary + type: object + OpenAIResponseObjectStreamResponseCompleted: + description: Streaming event indicating a response has been completed. + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + type: + const: response.completed + default: response.completed + title: Type + type: string + required: + - response + title: OpenAIResponseObjectStreamResponseCompleted + type: object + OpenAIResponseObjectStreamResponseContentPartAdded: + description: Streaming event for when a new content part is added to a response item. + properties: + content_index: + title: Content Index + type: integer + response_id: + title: Response Id + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + part: + discriminator: + mapping: + output_text: '#/components/schemas/OpenAIResponseContentPartOutputText' + reasoning_text: '#/components/schemas/OpenAIResponseContentPartReasoningText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseContentPartOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + - $ref: '#/components/schemas/OpenAIResponseContentPartReasoningText' + title: Part + sequence_number: + title: Sequence Number + type: integer + type: + const: response.content_part.added + default: response.content_part.added + title: Type + type: string + required: + - content_index + - response_id + - item_id + - output_index + - part + - sequence_number + title: OpenAIResponseObjectStreamResponseContentPartAdded + type: object + OpenAIResponseObjectStreamResponseContentPartDone: + description: Streaming event for when a content part is completed. + properties: + content_index: + title: Content Index + type: integer + response_id: + title: Response Id + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + part: + discriminator: + mapping: + output_text: '#/components/schemas/OpenAIResponseContentPartOutputText' + reasoning_text: '#/components/schemas/OpenAIResponseContentPartReasoningText' + refusal: '#/components/schemas/OpenAIResponseContentPartRefusal' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseContentPartOutputText' + - $ref: '#/components/schemas/OpenAIResponseContentPartRefusal' + - $ref: '#/components/schemas/OpenAIResponseContentPartReasoningText' + title: Part + sequence_number: + title: Sequence Number + type: integer + type: + const: response.content_part.done + default: response.content_part.done + title: Type + type: string + required: + - content_index + - response_id + - item_id + - output_index + - part + - sequence_number + title: OpenAIResponseObjectStreamResponseContentPartDone + type: object + OpenAIResponseObjectStreamResponseCreated: + description: Streaming event indicating a new response has been created. + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + type: + const: response.created + default: response.created + title: Type + type: string + required: + - response + title: OpenAIResponseObjectStreamResponseCreated + type: object + OpenAIResponseObjectStreamResponseFailed: + description: Streaming event emitted when a response fails. + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + sequence_number: + title: Sequence Number + type: integer + type: + const: response.failed + default: response.failed + title: Type + type: string + required: + - response + - sequence_number + title: OpenAIResponseObjectStreamResponseFailed + type: object + OpenAIResponseObjectStreamResponseFileSearchCallCompleted: + description: Streaming event for completed file search calls. + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.file_search_call.completed + default: response.file_search_call.completed + title: Type + type: string + required: + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseFileSearchCallCompleted + type: object + OpenAIResponseObjectStreamResponseFileSearchCallInProgress: + description: Streaming event for file search calls in progress. + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.file_search_call.in_progress + default: response.file_search_call.in_progress + title: Type + type: string + required: + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseFileSearchCallInProgress + type: object + OpenAIResponseObjectStreamResponseFileSearchCallSearching: + description: Streaming event for file search currently searching. + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.file_search_call.searching + default: response.file_search_call.searching + title: Type + type: string + required: + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseFileSearchCallSearching + type: object + OpenAIResponseObjectStreamResponseFunctionCallArgumentsDelta: + description: Streaming event for incremental function call argument updates. + properties: + delta: + title: Delta + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.function_call_arguments.delta + default: response.function_call_arguments.delta + title: Type + type: string + required: + - delta + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseFunctionCallArgumentsDelta + type: object + OpenAIResponseObjectStreamResponseFunctionCallArgumentsDone: + description: Streaming event for when function call arguments are completed. + properties: + arguments: + title: Arguments + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.function_call_arguments.done + default: response.function_call_arguments.done + title: Type + type: string + required: + - arguments + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseFunctionCallArgumentsDone + type: object + OpenAIResponseObjectStreamResponseInProgress: + description: Streaming event indicating the response remains in progress. + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + sequence_number: + title: Sequence Number + type: integer + type: + const: response.in_progress + default: response.in_progress + title: Type + type: string + required: + - response + - sequence_number + title: OpenAIResponseObjectStreamResponseInProgress + type: object + OpenAIResponseObjectStreamResponseIncomplete: + description: Streaming event emitted when a response ends in an incomplete state. + properties: + response: + $ref: '#/components/schemas/OpenAIResponseObject' + sequence_number: + title: Sequence Number + type: integer + type: + const: response.incomplete + default: response.incomplete + title: Type + type: string + required: + - response + - sequence_number + title: OpenAIResponseObjectStreamResponseIncomplete + type: object + OpenAIResponseObjectStreamResponseMcpCallArgumentsDelta: + properties: + delta: + title: Delta + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.mcp_call.arguments.delta + default: response.mcp_call.arguments.delta + title: Type + type: string + required: + - delta + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseMcpCallArgumentsDelta + type: object + OpenAIResponseObjectStreamResponseMcpCallArgumentsDone: + properties: + arguments: + title: Arguments + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.mcp_call.arguments.done + default: response.mcp_call.arguments.done + title: Type + type: string + required: + - arguments + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseMcpCallArgumentsDone + type: object + OpenAIResponseObjectStreamResponseMcpCallCompleted: + description: Streaming event for completed MCP calls. + properties: + sequence_number: + title: Sequence Number + type: integer + type: + const: response.mcp_call.completed + default: response.mcp_call.completed + title: Type + type: string + required: + - sequence_number + title: OpenAIResponseObjectStreamResponseMcpCallCompleted + type: object + OpenAIResponseObjectStreamResponseMcpCallFailed: + description: Streaming event for failed MCP calls. + properties: + sequence_number: + title: Sequence Number + type: integer + type: + const: response.mcp_call.failed + default: response.mcp_call.failed + title: Type + type: string + required: + - sequence_number + title: OpenAIResponseObjectStreamResponseMcpCallFailed + type: object + OpenAIResponseObjectStreamResponseMcpCallInProgress: + description: Streaming event for MCP calls in progress. + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.mcp_call.in_progress + default: response.mcp_call.in_progress + title: Type + type: string + required: + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseMcpCallInProgress + type: object + OpenAIResponseObjectStreamResponseMcpListToolsCompleted: + properties: + sequence_number: + title: Sequence Number + type: integer + type: + const: response.mcp_list_tools.completed + default: response.mcp_list_tools.completed + title: Type + type: string + required: + - sequence_number + title: OpenAIResponseObjectStreamResponseMcpListToolsCompleted + type: object + OpenAIResponseObjectStreamResponseMcpListToolsFailed: + properties: + sequence_number: + title: Sequence Number + type: integer + type: + const: response.mcp_list_tools.failed + default: response.mcp_list_tools.failed + title: Type + type: string + required: + - sequence_number + title: OpenAIResponseObjectStreamResponseMcpListToolsFailed + type: object + OpenAIResponseObjectStreamResponseMcpListToolsInProgress: + properties: + sequence_number: + title: Sequence Number + type: integer + type: + const: response.mcp_list_tools.in_progress + default: response.mcp_list_tools.in_progress + title: Type + type: string + required: + - sequence_number + title: OpenAIResponseObjectStreamResponseMcpListToolsInProgress + type: object + OpenAIResponseObjectStreamResponseOutputItemAdded: + description: Streaming event for when a new output item is added to the response. + properties: + response_id: + title: Response Id + type: string + item: + discriminator: + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + title: Item + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.output_item.added + default: response.output_item.added + title: Type + type: string + required: + - response_id + - item + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseOutputItemAdded + type: object + OpenAIResponseObjectStreamResponseOutputItemDone: + description: Streaming event for when an output item is completed. + properties: + response_id: + title: Response Id + type: string + item: + discriminator: + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + title: Item + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.output_item.done + default: response.output_item.done + title: Type + type: string + required: + - response_id + - item + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseOutputItemDone + type: object + OpenAIResponseObjectStreamResponseOutputTextAnnotationAdded: + description: Streaming event for when an annotation is added to output text. + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + content_index: + title: Content Index + type: integer + annotation_index: + title: Annotation Index + type: integer + annotation: + discriminator: + mapping: + container_file_citation: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + file_citation: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + file_path: '#/components/schemas/OpenAIResponseAnnotationFilePath' + url_citation: '#/components/schemas/OpenAIResponseAnnotationCitation' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseAnnotationFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationContainerFileCitation' + - $ref: '#/components/schemas/OpenAIResponseAnnotationFilePath' + title: Annotation + sequence_number: + title: Sequence Number + type: integer + type: + const: response.output_text.annotation.added + default: response.output_text.annotation.added + title: Type + type: string + required: + - item_id + - output_index + - content_index + - annotation_index + - annotation + - sequence_number + title: OpenAIResponseObjectStreamResponseOutputTextAnnotationAdded + type: object + OpenAIResponseObjectStreamResponseOutputTextDelta: + description: Streaming event for incremental text content updates. + properties: + content_index: + title: Content Index + type: integer + delta: + title: Delta + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.output_text.delta + default: response.output_text.delta + title: Type + type: string + required: + - content_index + - delta + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseOutputTextDelta + type: object + OpenAIResponseObjectStreamResponseOutputTextDone: + description: Streaming event for when text output is completed. + properties: + content_index: + title: Content Index + type: integer + text: + title: Text + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.output_text.done + default: response.output_text.done + title: Type + type: string + required: + - content_index + - text + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseOutputTextDone + type: object + OpenAIResponseObjectStreamResponseReasoningSummaryPartAdded: + description: Streaming event for when a new reasoning summary part is added. + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + part: + $ref: '#/components/schemas/OpenAIResponseContentPartReasoningSummary' + sequence_number: + title: Sequence Number + type: integer + summary_index: + title: Summary Index + type: integer + type: + const: response.reasoning_summary_part.added + default: response.reasoning_summary_part.added + title: Type + type: string + required: + - item_id + - output_index + - part + - sequence_number + - summary_index + title: OpenAIResponseObjectStreamResponseReasoningSummaryPartAdded + type: object + OpenAIResponseObjectStreamResponseReasoningSummaryPartDone: + description: Streaming event for when a reasoning summary part is completed. + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + part: + $ref: '#/components/schemas/OpenAIResponseContentPartReasoningSummary' + sequence_number: + title: Sequence Number + type: integer + summary_index: + title: Summary Index + type: integer + type: + const: response.reasoning_summary_part.done + default: response.reasoning_summary_part.done + title: Type + type: string + required: + - item_id + - output_index + - part + - sequence_number + - summary_index + title: OpenAIResponseObjectStreamResponseReasoningSummaryPartDone + type: object + OpenAIResponseObjectStreamResponseReasoningSummaryTextDelta: + description: Streaming event for incremental reasoning summary text updates. + properties: + delta: + title: Delta + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + summary_index: + title: Summary Index + type: integer + type: + const: response.reasoning_summary_text.delta + default: response.reasoning_summary_text.delta + title: Type + type: string + required: + - delta + - item_id + - output_index + - sequence_number + - summary_index + title: OpenAIResponseObjectStreamResponseReasoningSummaryTextDelta + type: object + OpenAIResponseObjectStreamResponseReasoningSummaryTextDone: + description: Streaming event for when reasoning summary text is completed. + properties: + text: + title: Text + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + summary_index: + title: Summary Index + type: integer + type: + const: response.reasoning_summary_text.done + default: response.reasoning_summary_text.done + title: Type + type: string + required: + - text + - item_id + - output_index + - sequence_number + - summary_index + title: OpenAIResponseObjectStreamResponseReasoningSummaryTextDone + type: object + OpenAIResponseObjectStreamResponseReasoningTextDelta: + description: Streaming event for incremental reasoning text updates. + properties: + content_index: + title: Content Index + type: integer + delta: + title: Delta + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.reasoning_text.delta + default: response.reasoning_text.delta + title: Type + type: string + required: + - content_index + - delta + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseReasoningTextDelta + type: object + OpenAIResponseObjectStreamResponseReasoningTextDone: + description: Streaming event for when reasoning text is completed. + properties: + content_index: + title: Content Index + type: integer + text: + title: Text + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.reasoning_text.done + default: response.reasoning_text.done + title: Type + type: string + required: + - content_index + - text + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseReasoningTextDone + type: object + OpenAIResponseObjectStreamResponseRefusalDelta: + description: Streaming event for incremental refusal text updates. + properties: + content_index: + title: Content Index + type: integer + delta: + title: Delta + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.refusal.delta + default: response.refusal.delta + title: Type + type: string + required: + - content_index + - delta + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseRefusalDelta + type: object + OpenAIResponseObjectStreamResponseRefusalDone: + description: Streaming event for when refusal text is completed. + properties: + content_index: + title: Content Index + type: integer + refusal: + title: Refusal + type: string + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.refusal.done + default: response.refusal.done + title: Type + type: string + required: + - content_index + - refusal + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseRefusalDone + type: object + OpenAIResponseObjectStreamResponseWebSearchCallCompleted: + description: Streaming event for completed web search calls. + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.web_search_call.completed + default: response.web_search_call.completed + title: Type + type: string + required: + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseWebSearchCallCompleted + type: object + OpenAIResponseObjectStreamResponseWebSearchCallInProgress: + description: Streaming event for web search calls in progress. + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.web_search_call.in_progress + default: response.web_search_call.in_progress + title: Type + type: string + required: + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseWebSearchCallInProgress + type: object + OpenAIResponseObjectStreamResponseWebSearchCallSearching: + properties: + item_id: + title: Item Id + type: string + output_index: + title: Output Index + type: integer + sequence_number: + title: Sequence Number + type: integer + type: + const: response.web_search_call.searching + default: response.web_search_call.searching + title: Type + type: string + required: + - item_id + - output_index + - sequence_number + title: OpenAIResponseObjectStreamResponseWebSearchCallSearching + type: object + OpenAIResponseObjectStream: + discriminator: + mapping: + response.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseCompleted' + response.content_part.added: '#/components/schemas/OpenAIResponseObjectStreamResponseContentPartAdded' + response.content_part.done: '#/components/schemas/OpenAIResponseObjectStreamResponseContentPartDone' + response.created: '#/components/schemas/OpenAIResponseObjectStreamResponseCreated' + response.failed: '#/components/schemas/OpenAIResponseObjectStreamResponseFailed' + response.file_search_call.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallCompleted' + response.file_search_call.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallInProgress' + response.file_search_call.searching: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallSearching' + response.function_call_arguments.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseFunctionCallArgumentsDelta' + response.function_call_arguments.done: '#/components/schemas/OpenAIResponseObjectStreamResponseFunctionCallArgumentsDone' + response.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseInProgress' + response.incomplete: '#/components/schemas/OpenAIResponseObjectStreamResponseIncomplete' + response.mcp_call.arguments.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallArgumentsDelta' + response.mcp_call.arguments.done: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallArgumentsDone' + response.mcp_call.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallCompleted' + response.mcp_call.failed: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallFailed' + response.mcp_call.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallInProgress' + response.mcp_list_tools.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsCompleted' + response.mcp_list_tools.failed: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsFailed' + response.mcp_list_tools.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsInProgress' + response.output_item.added: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputItemAdded' + response.output_item.done: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputItemDone' + response.output_text.annotation.added: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextAnnotationAdded' + response.output_text.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextDelta' + response.output_text.done: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextDone' + response.reasoning_summary_part.added: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryPartAdded' + response.reasoning_summary_part.done: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryPartDone' + response.reasoning_summary_text.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryTextDelta' + response.reasoning_summary_text.done: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryTextDone' + response.reasoning_text.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningTextDelta' + response.reasoning_text.done: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningTextDone' + response.refusal.delta: '#/components/schemas/OpenAIResponseObjectStreamResponseRefusalDelta' + response.refusal.done: '#/components/schemas/OpenAIResponseObjectStreamResponseRefusalDone' + response.web_search_call.completed: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallCompleted' + response.web_search_call.in_progress: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallInProgress' + response.web_search_call.searching: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallSearching' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseCreated' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputItemAdded' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputItemDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFunctionCallArgumentsDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFunctionCallArgumentsDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallSearching' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseWebSearchCallCompleted' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsFailed' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpListToolsCompleted' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallArgumentsDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallArgumentsDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallFailed' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseMcpCallCompleted' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseContentPartAdded' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseContentPartDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningTextDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningTextDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryPartAdded' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryPartDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryTextDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseReasoningSummaryTextDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseRefusalDelta' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseRefusalDone' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseOutputTextAnnotationAdded' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallInProgress' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallSearching' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFileSearchCallCompleted' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseIncomplete' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseFailed' + - $ref: '#/components/schemas/OpenAIResponseObjectStreamResponseCompleted' + OpenAIResponseInput: + anyOf: + - discriminator: + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + propertyName: type + oneOf: - $ref: '#/components/schemas/OpenAIResponseMessage' - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' - - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' - - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' - - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseMessage' + ConversationItem: discriminator: - propertyName: type mapping: - message: '#/components/schemas/OpenAIResponseMessage' - web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' function_call_output: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' @@ -6905,193 +14170,19 @@ components: mapping: message: '#/components/schemas/OpenAIResponseMessage' web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' - file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' - function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' - mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' - mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' - mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' - OpenAIResponsePrompt: - type: object - properties: - id: - type: string - description: Unique identifier of the prompt template - variables: - type: object - additionalProperties: - $ref: '#/components/schemas/OpenAIResponseInputMessageContent' - description: >- - Dictionary of variable names to OpenAIResponseInputMessageContent structure - for template substitution. The substitution values can either be strings, - or other Response input types like images or files. - version: - type: string - description: >- - Version number of the prompt to use (defaults to latest if not specified) - additionalProperties: false - required: - - id - title: OpenAIResponsePrompt - description: >- - OpenAI compatible Prompt object that is used in OpenAI responses. - OpenAIResponseText: - type: object - properties: - format: - type: object - properties: - type: - oneOf: - - type: string - const: text - - type: string - const: json_schema - - type: string - const: json_object - description: >- - Must be "text", "json_schema", or "json_object" to identify the format - type - name: - type: string - description: >- - The name of the response format. Only used for json_schema. - schema: - type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: >- - The JSON schema the response should conform to. In a Python SDK, this - is often a `pydantic` model. Only used for json_schema. - description: - type: string - description: >- - (Optional) A description of the response format. Only used for json_schema. - strict: - type: boolean - description: >- - (Optional) Whether to strictly enforce the JSON schema. If true, the - response must match the schema exactly. Only used for json_schema. - additionalProperties: false - required: - - type - description: >- - (Optional) Text format configuration specifying output format requirements - additionalProperties: false - title: OpenAIResponseText - description: >- - Text response configuration for OpenAI responses. - OpenAIResponseTool: - oneOf: - - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch' - - $ref: '#/components/schemas/OpenAIResponseInputToolFileSearch' - - $ref: '#/components/schemas/OpenAIResponseInputToolFunction' - - $ref: '#/components/schemas/OpenAIResponseToolMCP' - discriminator: propertyName: type - mapping: - web_search: '#/components/schemas/OpenAIResponseInputToolWebSearch' - file_search: '#/components/schemas/OpenAIResponseInputToolFileSearch' - function: '#/components/schemas/OpenAIResponseInputToolFunction' - mcp: '#/components/schemas/OpenAIResponseToolMCP' - OpenAIResponseToolMCP: - type: object - properties: - type: - type: string - const: mcp - default: mcp - description: Tool type identifier, always "mcp" - server_label: - type: string - description: Label to identify this MCP server - allowed_tools: - oneOf: - - type: array - items: - type: string - - type: object - properties: - tool_names: - type: array - items: - type: string - description: >- - (Optional) List of specific tool names that are allowed - additionalProperties: false - title: AllowedToolsFilter - description: >- - Filter configuration for restricting which MCP tools can be used. - description: >- - (Optional) Restriction on which tools can be used from this server - additionalProperties: false - required: - - type - - server_label - title: OpenAIResponseToolMCP - description: >- - Model Context Protocol (MCP) tool configuration for OpenAI response object. - OpenAIResponseUsage: - type: object - properties: - input_tokens: - type: integer - description: Number of tokens in the input - output_tokens: - type: integer - description: Number of tokens in the output - total_tokens: - type: integer - description: Total tokens used (input + output) - input_tokens_details: - type: object - properties: - cached_tokens: - type: integer - description: Number of tokens retrieved from cache - additionalProperties: false - description: Detailed breakdown of input token usage - output_tokens_details: - type: object - properties: - reasoning_tokens: - type: integer - description: >- - Number of tokens used for reasoning (o1/o3 models) - additionalProperties: false - description: Detailed breakdown of output token usage - additionalProperties: false - required: - - input_tokens - - output_tokens - - total_tokens - title: OpenAIResponseUsage - description: Usage information for OpenAI response. - ResponseGuardrailSpec: - type: object - properties: - type: - type: string - description: The type/identifier of the guardrail. - additionalProperties: false - required: - - type - title: ResponseGuardrailSpec - description: >- - Specification for a guardrail to apply during response generation. - OpenAIResponseInputTool: oneOf: - - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch' - - $ref: '#/components/schemas/OpenAIResponseInputToolFileSearch' - - $ref: '#/components/schemas/OpenAIResponseInputToolFunction' - - $ref: '#/components/schemas/OpenAIResponseInputToolMCP' + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + DataSource: discriminator: - propertyName: type mapping: web_search: '#/components/schemas/OpenAIResponseInputToolWebSearch' file_search: '#/components/schemas/OpenAIResponseInputToolFileSearch' @@ -9864,10 +16955,17 @@ components: description: OpenAI Vector Store object. VectorStoreChunkingStrategy: oneOf: - - $ref: '#/components/schemas/VectorStoreChunkingStrategyAuto' - - $ref: '#/components/schemas/VectorStoreChunkingStrategyStatic' + - $ref: '#/components/schemas/StringType' + - $ref: '#/components/schemas/NumberType' + - $ref: '#/components/schemas/BooleanType' + - $ref: '#/components/schemas/ArrayType' + - $ref: '#/components/schemas/ObjectType' + - $ref: '#/components/schemas/JsonType' + - $ref: '#/components/schemas/UnionType' + - $ref: '#/components/schemas/ChatCompletionInputType' + - $ref: '#/components/schemas/CompletionInputType' + ScoringFnParams: discriminator: - propertyName: type mapping: auto: '#/components/schemas/VectorStoreChunkingStrategyAuto' static: '#/components/schemas/VectorStoreChunkingStrategyStatic' @@ -11517,128 +18615,1478 @@ components: - job_uuid title: PostTrainingJob AlgorithmConfig: - oneOf: - - $ref: '#/components/schemas/LoraFinetuningConfig' - - $ref: '#/components/schemas/QATFinetuningConfig' discriminator: - propertyName: type mapping: LoRA: '#/components/schemas/LoraFinetuningConfig' QAT: '#/components/schemas/QATFinetuningConfig' - LoraFinetuningConfig: - type: object + propertyName: type + oneOf: + - $ref: '#/components/schemas/LoraFinetuningConfig' + - $ref: '#/components/schemas/QATFinetuningConfig' + SpanEndPayload: + description: Payload for a span end event. properties: type: + const: span_end + default: span_end + title: Type type: string - const: LoRA - default: LoRA - description: Algorithm type identifier, always "LoRA" - lora_attn_modules: + status: + $ref: '#/components/schemas/SpanStatus' + required: + - status + title: SpanEndPayload + type: object + SpanStartPayload: + description: Payload for a span start event. + properties: + type: + const: span_start + default: span_start + title: Type + type: string + name: + title: Name + type: string + parent_span_id: + anyOf: + - type: string + - type: 'null' + title: Parent Span Id + nullable: true + required: + - name + title: SpanStartPayload + type: object + SpanStatus: + description: The status of a span indicating whether it completed successfully or with an error. + enum: + - ok + - error + title: SpanStatus + type: string + StructuredLogPayload: + discriminator: + mapping: + span_end: '#/components/schemas/SpanEndPayload' + span_start: '#/components/schemas/SpanStartPayload' + propertyName: type + oneOf: + - $ref: '#/components/schemas/SpanStartPayload' + - $ref: '#/components/schemas/SpanEndPayload' + LogSeverity: + description: The severity level of a log message. + enum: + - verbose + - debug + - info + - warn + - error + - critical + title: LogSeverity + type: string + MetricEvent: + description: A metric event containing a measured value. + properties: + trace_id: + title: Trace Id + type: string + span_id: + title: Span Id + type: string + timestamp: + format: date-time + title: Timestamp + type: string + attributes: + anyOf: + - additionalProperties: + anyOf: + - type: string + - type: integer + - type: number + - type: boolean + - type: 'null' + type: object + - type: 'null' + title: Attributes + type: + const: metric + default: metric + title: Type + type: string + metric: + title: Metric + type: string + value: + anyOf: + - type: integer + - type: number + title: Value + unit: + title: Unit + type: string + required: + - trace_id + - span_id + - timestamp + - metric + - value + - unit + title: MetricEvent + type: object + StructuredLogEvent: + description: A structured log event containing typed payload data. + properties: + trace_id: + title: Trace Id + type: string + span_id: + title: Span Id + type: string + timestamp: + format: date-time + title: Timestamp + type: string + attributes: + anyOf: + - additionalProperties: + anyOf: + - type: string + - type: integer + - type: number + - type: boolean + - type: 'null' + type: object + - type: 'null' + title: Attributes + type: + const: structured_log + default: structured_log + title: Type + type: string + payload: + discriminator: + mapping: + span_end: '#/components/schemas/SpanEndPayload' + span_start: '#/components/schemas/SpanStartPayload' + propertyName: type + oneOf: + - $ref: '#/components/schemas/SpanStartPayload' + - $ref: '#/components/schemas/SpanEndPayload' + title: Payload + required: + - trace_id + - span_id + - timestamp + - payload + title: StructuredLogEvent + type: object + UnstructuredLogEvent: + description: An unstructured log event containing a simple text message. + properties: + trace_id: + title: Trace Id + type: string + span_id: + title: Span Id + type: string + timestamp: + format: date-time + title: Timestamp + type: string + attributes: + anyOf: + - additionalProperties: + anyOf: + - type: string + - type: integer + - type: number + - type: boolean + - type: 'null' + type: object + - type: 'null' + title: Attributes + type: + const: unstructured_log + default: unstructured_log + title: Type + type: string + message: + title: Message + type: string + severity: + $ref: '#/components/schemas/LogSeverity' + required: + - trace_id + - span_id + - timestamp + - message + - severity + title: UnstructuredLogEvent + type: object + Event: + discriminator: + mapping: + metric: '#/components/schemas/MetricEvent' + structured_log: '#/components/schemas/StructuredLogEvent' + unstructured_log: '#/components/schemas/UnstructuredLogEvent' + propertyName: type + oneOf: + - $ref: '#/components/schemas/UnstructuredLogEvent' + - $ref: '#/components/schemas/MetricEvent' + - $ref: '#/components/schemas/StructuredLogEvent' + ListOpenAIResponseInputItem: + description: List container for OpenAI response input items. + properties: + data: + items: + anyOf: + - discriminator: + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseMessage' + title: Data type: array + object: + const: list + default: list + title: Object + type: string + required: + - data + title: ListOpenAIResponseInputItem + type: object + OpenAIResponseObjectWithInput: + description: OpenAI response object extended with input context information. + properties: + created_at: + title: Created At + type: integer + error: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseError' + - type: 'null' + nullable: true + id: + title: Id + type: string + model: + title: Model + type: string + object: + const: response + default: response + title: Object + type: string + output: + items: + discriminator: + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + title: Output + type: array + parallel_tool_calls: + default: false + title: Parallel Tool Calls + type: boolean + previous_response_id: + anyOf: + - type: string + - type: 'null' + title: Previous Response Id + nullable: true + prompt: + anyOf: + - $ref: '#/components/schemas/OpenAIResponsePrompt' + - type: 'null' + nullable: true + status: + title: Status + type: string + temperature: + anyOf: + - type: number + - type: 'null' + title: Temperature + nullable: true + text: + $ref: '#/components/schemas/OpenAIResponseText' + default: + format: + type: text + top_p: + anyOf: + - type: number + - type: 'null' + title: Top P + nullable: true + tools: + anyOf: + - items: + discriminator: + mapping: + file_search: '#/components/schemas/OpenAIResponseInputToolFileSearch' + function: '#/components/schemas/OpenAIResponseInputToolFunction' + mcp: '#/components/schemas/OpenAIResponseToolMCP' + web_search: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_2025_08_26: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_preview: '#/components/schemas/OpenAIResponseInputToolWebSearch' + web_search_preview_2025_03_11: '#/components/schemas/OpenAIResponseInputToolWebSearch' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseInputToolWebSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFileSearch' + - $ref: '#/components/schemas/OpenAIResponseInputToolFunction' + - $ref: '#/components/schemas/OpenAIResponseToolMCP' + type: array + - type: 'null' + title: Tools + nullable: true + truncation: + anyOf: + - type: string + - type: 'null' + title: Truncation + nullable: true + usage: + anyOf: + - $ref: '#/components/schemas/OpenAIResponseUsage' + - type: 'null' + nullable: true + instructions: + anyOf: + - type: string + - type: 'null' + title: Instructions + nullable: true + input: + items: + anyOf: + - discriminator: + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseMessage' + title: Input + type: array + required: + - created_at + - id + - model + - output + - status + - input + title: OpenAIResponseObjectWithInput + type: object + ListOpenAIResponseObject: + description: Paginated list of OpenAI response objects with navigation metadata. + properties: + data: + items: + $ref: '#/components/schemas/OpenAIResponseObjectWithInput' + title: Data + type: array + has_more: + title: Has More + type: boolean + first_id: + title: First Id + type: string + last_id: + title: Last Id + type: string + object: + const: list + default: list + title: Object + type: string + required: + - data + - has_more + - first_id + - last_id + title: ListOpenAIResponseObject + type: object + ResponseGuardrailSpec: + description: Specification for a guardrail to apply during response generation. + properties: + type: + title: Type + type: string + required: + - type + title: ResponseGuardrailSpec + type: object + ListBatchesResponse: + description: Response containing a list of batch objects. + properties: + object: + const: list + default: list + title: Object + type: string + data: + description: List of batch objects + items: + $ref: '#/components/schemas/Batch' + title: Data + type: array + first_id: + anyOf: + - type: string + - type: 'null' + description: ID of the first batch in the list + title: First Id + nullable: true + last_id: + anyOf: + - type: string + - type: 'null' + description: ID of the last batch in the list + title: Last Id + nullable: true + has_more: + default: false + description: Whether there are more batches available + title: Has More + type: boolean + required: + - data + title: ListBatchesResponse + type: object + MetricInResponse: + description: A metric value included in API responses. + properties: + metric: + title: Metric + type: string + value: + anyOf: + - type: integer + - type: number + title: Value + unit: + anyOf: + - type: string + - type: 'null' + title: Unit + nullable: true + required: + - metric + - value + title: MetricInResponse + type: object + PaginatedResponse: + description: A generic paginated response that follows a simple format. + properties: + data: + items: + additionalProperties: true + type: object + title: Data + type: array + has_more: + title: Has More + type: boolean + url: + anyOf: + - type: string + - type: 'null' + title: Url + nullable: true + required: + - data + - has_more + title: PaginatedResponse + type: object + PostTrainingMetric: + description: Training metrics captured during post-training jobs. + properties: + epoch: + title: Epoch + type: integer + train_loss: + title: Train Loss + type: number + validation_loss: + title: Validation Loss + type: number + perplexity: + title: Perplexity + type: number + required: + - epoch + - train_loss + - validation_loss + - perplexity + title: PostTrainingMetric + type: object + Checkpoint: + description: Checkpoint created during training runs. + properties: + identifier: + title: Identifier + type: string + created_at: + format: date-time + title: Created At + type: string + epoch: + title: Epoch + type: integer + post_training_job_id: + title: Post Training Job Id + type: string + path: + title: Path + type: string + training_metrics: + anyOf: + - $ref: '#/components/schemas/PostTrainingMetric' + - type: 'null' + nullable: true + required: + - identifier + - created_at + - epoch + - post_training_job_id + - path + title: Checkpoint + type: object + DialogType: + description: Parameter type for dialog data with semantic output labels. + properties: + type: + const: dialog + default: dialog + title: Type + type: string + title: DialogType + type: object + ConversationItemCreateRequest: + description: Request body for creating conversation items. + properties: + items: + description: Items to include in the conversation context. You may add up to 20 items at a time. + items: + discriminator: + mapping: + file_search_call: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + function_call: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + function_call_output: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + mcp_approval_request: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + mcp_approval_response: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + mcp_call: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + mcp_list_tools: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + message: '#/components/schemas/OpenAIResponseMessage' + web_search_call: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + propertyName: type + oneOf: + - $ref: '#/components/schemas/OpenAIResponseMessage' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageWebSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFileSearchToolCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageFunctionToolCall' + - $ref: '#/components/schemas/OpenAIResponseInputFunctionToolCallOutput' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalRequest' + - $ref: '#/components/schemas/OpenAIResponseMCPApprovalResponse' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPCall' + - $ref: '#/components/schemas/OpenAIResponseOutputMessageMCPListTools' + maxItems: 20 + title: Items + type: array + required: + - items + title: ConversationItemCreateRequest + type: object + ConversationMessage: + description: OpenAI-compatible message item for conversations. + properties: + id: + description: unique identifier for this message + title: Id + type: string + content: + description: message content + items: + additionalProperties: true + type: object + title: Content + type: array + role: + description: message role + title: Role + type: string + status: + description: message status + title: Status + type: string + type: + const: message + default: message + title: Type + type: string + object: + const: message + default: message + title: Object + type: string + required: + - id + - content + - role + - status + title: ConversationMessage + type: object + ListOpenAIFileResponse: + description: Response for listing files in OpenAI Files API. + properties: + data: + items: + $ref: '#/components/schemas/OpenAIFileObject' + title: Data + type: array + has_more: + title: Has More + type: boolean + first_id: + title: First Id + type: string + last_id: + title: Last Id + type: string + object: + const: list + default: list + title: Object + type: string + required: + - data + - has_more + - first_id + - last_id + title: ListOpenAIFileResponse + type: object + Bf16QuantizationConfig: + description: Configuration for BFloat16 precision (typically no quantization). + properties: + type: + const: bf16 + default: bf16 + title: Type + type: string + title: Bf16QuantizationConfig + type: object + LogProbConfig: + description: '' + properties: + top_k: + anyOf: + - type: integer + - type: 'null' + default: 0 + title: Top K + title: LogProbConfig + type: object + SystemMessageBehavior: + description: Config for how to override the default system prompt. + enum: + - append + - replace + title: SystemMessageBehavior + type: string + ToolChoice: + description: Whether tool use is required or automatic. This is a hint to the model which may not be followed. It depends on the Instruction Following capabilities of the model. + enum: + - auto + - required + - none + title: ToolChoice + type: string + ToolConfig: + description: Configuration for tool use. + properties: + tool_choice: + anyOf: + - $ref: '#/components/schemas/ToolChoice' + - type: string + - type: 'null' + default: auto + title: Tool Choice + tool_prompt_format: + anyOf: + - $ref: '#/components/schemas/ToolPromptFormat' + - type: 'null' + nullable: true + system_message_behavior: + anyOf: + - $ref: '#/components/schemas/SystemMessageBehavior' + - type: 'null' + default: append + title: ToolConfig + type: object + ToolPromptFormat: + description: Prompt format for calling custom / zero shot tools. + enum: + - json + - function_tag + - python_list + title: ToolPromptFormat + type: string + ChatCompletionRequest: + properties: + model: + title: Model + type: string + messages: + items: + discriminator: + mapping: + assistant: '#/components/schemas/CompletionMessage' + system: '#/components/schemas/SystemMessage' + tool: '#/components/schemas/ToolResponseMessage' + user: '#/components/schemas/UserMessage' + propertyName: role + oneOf: + - $ref: '#/components/schemas/UserMessage' + - $ref: '#/components/schemas/SystemMessage' + - $ref: '#/components/schemas/ToolResponseMessage' + - $ref: '#/components/schemas/CompletionMessage' + title: Messages + type: array + sampling_params: + anyOf: + - $ref: '#/components/schemas/SamplingParams' + - type: 'null' + tools: + anyOf: + - items: + $ref: '#/components/schemas/ToolDefinition' + type: array + - type: 'null' + title: Tools + tool_config: + anyOf: + - $ref: '#/components/schemas/ToolConfig' + - type: 'null' + response_format: + anyOf: + - discriminator: + mapping: + grammar: '#/components/schemas/GrammarResponseFormat' + json_schema: '#/components/schemas/JsonSchemaResponseFormat' + propertyName: type + oneOf: + - $ref: '#/components/schemas/JsonSchemaResponseFormat' + - $ref: '#/components/schemas/GrammarResponseFormat' + - type: 'null' + title: Response Format + nullable: true + stream: + anyOf: + - type: boolean + - type: 'null' + default: false + title: Stream + logprobs: + anyOf: + - $ref: '#/components/schemas/LogProbConfig' + - type: 'null' + nullable: true + required: + - model + - messages + title: ChatCompletionRequest + type: object + TokenLogProbs: + description: Log probabilities for generated tokens. + properties: + logprobs_by_token: + additionalProperties: + type: number + title: Logprobs By Token + type: object + required: + - logprobs_by_token + title: TokenLogProbs + type: object + ChatCompletionResponse: + description: Response from a chat completion request. + properties: + metrics: + anyOf: + - items: + $ref: '#/components/schemas/MetricInResponse' + type: array + - type: 'null' + title: Metrics + nullable: true + completion_message: + $ref: '#/components/schemas/CompletionMessage' + logprobs: + anyOf: + - items: + $ref: '#/components/schemas/TokenLogProbs' + type: array + - type: 'null' + title: Logprobs + nullable: true + required: + - completion_message + title: ChatCompletionResponse + type: object + ChatCompletionResponseEventType: + description: Types of events that can occur during chat completion. + enum: + - start + - complete + - progress + title: ChatCompletionResponseEventType + type: string + ChatCompletionResponseEvent: + description: An event during chat completion generation. + properties: + event_type: + $ref: '#/components/schemas/ChatCompletionResponseEventType' + delta: + discriminator: + mapping: + image: '#/components/schemas/ImageDelta' + text: '#/components/schemas/TextDelta' + tool_call: '#/components/schemas/ToolCallDelta' + propertyName: type + oneOf: + - $ref: '#/components/schemas/TextDelta' + - $ref: '#/components/schemas/ImageDelta' + - $ref: '#/components/schemas/ToolCallDelta' + title: Delta + logprobs: + anyOf: + - items: + $ref: '#/components/schemas/TokenLogProbs' + type: array + - type: 'null' + title: Logprobs + nullable: true + stop_reason: + anyOf: + - $ref: '#/components/schemas/StopReason' + - type: 'null' + nullable: true + required: + - event_type + - delta + title: ChatCompletionResponseEvent + type: object + ChatCompletionResponseStreamChunk: + description: A chunk of a streamed chat completion response. + properties: + metrics: + anyOf: + - items: + $ref: '#/components/schemas/MetricInResponse' + type: array + - type: 'null' + title: Metrics + nullable: true + event: + $ref: '#/components/schemas/ChatCompletionResponseEvent' + required: + - event + title: ChatCompletionResponseStreamChunk + type: object + CompletionResponse: + description: Response from a completion request. + properties: + metrics: + anyOf: + - items: + $ref: '#/components/schemas/MetricInResponse' + type: array + - type: 'null' + title: Metrics + nullable: true + content: + title: Content + type: string + stop_reason: + $ref: '#/components/schemas/StopReason' + logprobs: + anyOf: + - items: + $ref: '#/components/schemas/TokenLogProbs' + type: array + - type: 'null' + title: Logprobs + nullable: true + required: + - content + - stop_reason + title: CompletionResponse + type: object + CompletionResponseStreamChunk: + description: A chunk of a streamed completion response. + properties: + metrics: + anyOf: + - items: + $ref: '#/components/schemas/MetricInResponse' + type: array + - type: 'null' + title: Metrics + nullable: true + delta: + title: Delta + type: string + stop_reason: + anyOf: + - $ref: '#/components/schemas/StopReason' + - type: 'null' + nullable: true + logprobs: + anyOf: + - items: + $ref: '#/components/schemas/TokenLogProbs' + type: array + - type: 'null' + title: Logprobs + nullable: true + required: + - delta + title: CompletionResponseStreamChunk + type: object + EmbeddingsResponse: + description: Response containing generated embeddings. + properties: + embeddings: + items: + items: + type: number + type: array + title: Embeddings + type: array + required: + - embeddings + title: EmbeddingsResponse + type: object + Fp8QuantizationConfig: + description: Configuration for 8-bit floating point quantization. + properties: + type: + const: fp8_mixed + default: fp8_mixed + title: Type + type: string + title: Fp8QuantizationConfig + type: object + Int4QuantizationConfig: + description: Configuration for 4-bit integer quantization. + properties: + type: + const: int4_mixed + default: int4_mixed + title: Type + type: string + scheme: + anyOf: + - type: string + - type: 'null' + default: int4_weight_int8_dynamic_activation + title: Scheme + title: Int4QuantizationConfig + type: object + OpenAIChoice: + description: A choice from an OpenAI-compatible chat completion response. + properties: + message: + discriminator: + mapping: + assistant: '#/components/schemas/OpenAIAssistantMessageParam' + developer: '#/components/schemas/OpenAIDeveloperMessageParam' + system: '#/components/schemas/OpenAISystemMessageParam' + tool: '#/components/schemas/OpenAIToolMessageParam' + user: '#/components/schemas/OpenAIUserMessageParam' + propertyName: role + oneOf: + - $ref: '#/components/schemas/OpenAIUserMessageParam' + - $ref: '#/components/schemas/OpenAISystemMessageParam' + - $ref: '#/components/schemas/OpenAIAssistantMessageParam' + - $ref: '#/components/schemas/OpenAIToolMessageParam' + - $ref: '#/components/schemas/OpenAIDeveloperMessageParam' + title: Message + finish_reason: + title: Finish Reason + type: string + index: + title: Index + type: integer + logprobs: + anyOf: + - $ref: '#/components/schemas/OpenAIChoiceLogprobs' + - type: 'null' + nullable: true + required: + - message + - finish_reason + - index + title: OpenAIChoice + type: object + OpenAIChoiceLogprobs: + description: The log probabilities for the tokens in the message from an OpenAI-compatible chat completion response. + properties: + content: + anyOf: + - items: + $ref: '#/components/schemas/OpenAITokenLogProb' + type: array + - type: 'null' + title: Content + nullable: true + refusal: + anyOf: + - items: + $ref: '#/components/schemas/OpenAITokenLogProb' + type: array + - type: 'null' + title: Refusal + nullable: true + title: OpenAIChoiceLogprobs + type: object + ListOpenAIChatCompletionResponse: + description: Response from listing OpenAI-compatible chat completions. + properties: + data: + items: + $ref: '#/components/schemas/OpenAICompletionWithInputMessages' + title: Data + type: array + has_more: + title: Has More + type: boolean + first_id: + title: First Id + type: string + last_id: + title: Last Id + type: string + object: + const: list + default: list + title: Object + type: string + required: + - data + - has_more + - first_id + - last_id + title: ListOpenAIChatCompletionResponse + type: object + OpenAIChoiceDelta: + description: A delta from an OpenAI-compatible chat completion streaming response. + properties: + content: + anyOf: + - type: string + - type: 'null' + title: Content + nullable: true + refusal: + anyOf: + - type: string + - type: 'null' + title: Refusal + nullable: true + role: + anyOf: + - type: string + - type: 'null' + title: Role + nullable: true + tool_calls: + anyOf: + - items: + $ref: '#/components/schemas/OpenAIChatCompletionToolCall' + type: array + - type: 'null' + title: Tool Calls + nullable: true + reasoning_content: + anyOf: + - type: string + - type: 'null' + title: Reasoning Content + nullable: true + title: OpenAIChoiceDelta + type: object + OpenAIChunkChoice: + description: A chunk choice from an OpenAI-compatible chat completion streaming response. + properties: + delta: + $ref: '#/components/schemas/OpenAIChoiceDelta' + finish_reason: + title: Finish Reason + type: string + index: + title: Index + type: integer + logprobs: + anyOf: + - $ref: '#/components/schemas/OpenAIChoiceLogprobs' + - type: 'null' + nullable: true + required: + - delta + - finish_reason + - index + title: OpenAIChunkChoice + type: object + OpenAIChatCompletionChunk: + description: Chunk from a streaming response to an OpenAI-compatible chat completion request. + properties: + id: + title: Id + type: string + choices: + items: + $ref: '#/components/schemas/OpenAIChunkChoice' + title: Choices + type: array + object: + const: chat.completion.chunk + default: chat.completion.chunk + title: Object + type: string + created: + title: Created + type: integer + model: + title: Model + type: string + usage: + anyOf: + - $ref: '#/components/schemas/OpenAIChatCompletionUsage' + - type: 'null' + nullable: true + required: + - id + - choices + - created + - model + title: OpenAIChatCompletionChunk + type: object + OpenAICompletionChoice: + description: |- + A choice from an OpenAI-compatible completion response. + + :finish_reason: The reason the model stopped generating + :text: The text of the choice + :index: The index of the choice + :logprobs: (Optional) The log probabilities for the tokens in the choice + properties: + finish_reason: + title: Finish Reason + type: string + text: + title: Text + type: string + index: + title: Index + type: integer + logprobs: + anyOf: + - $ref: '#/components/schemas/OpenAIChoiceLogprobs' + - type: 'null' + nullable: true + required: + - finish_reason + - text + - index + title: OpenAICompletionChoice + type: object + OpenAICompletionLogprobs: + description: |- + The log probabilities for the tokens in the message from an OpenAI-compatible completion response. + + :text_offset: (Optional) The offset of the token in the text + :token_logprobs: (Optional) The log probabilities for the tokens + :tokens: (Optional) The tokens + :top_logprobs: (Optional) The top log probabilities for the tokens + properties: + text_offset: + anyOf: + - items: + type: integer + type: array + - type: 'null' + title: Text Offset + nullable: true + token_logprobs: + anyOf: + - items: + type: number + type: array + - type: 'null' + title: Token Logprobs + nullable: true + tokens: + anyOf: + - items: + type: string + type: array + - type: 'null' + title: Tokens + nullable: true + top_logprobs: + anyOf: + - items: + additionalProperties: + type: number + type: object + type: array + - type: 'null' + title: Top Logprobs + nullable: true + title: OpenAICompletionLogprobs + type: object + ToolResponse: + description: Response from a tool invocation. + properties: + call_id: + title: Call Id + type: string + tool_name: + anyOf: + - $ref: '#/components/schemas/BuiltinTool' + - type: string + title: Tool Name + content: + anyOf: + - type: string + - discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + - items: + discriminator: + mapping: + image: '#/components/schemas/ImageContentItem' + text: '#/components/schemas/TextContentItem' + propertyName: type + oneOf: + - $ref: '#/components/schemas/ImageContentItem' + - $ref: '#/components/schemas/TextContentItem' + type: array + title: Content + metadata: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Metadata + nullable: true + required: + - call_id + - tool_name + - content + title: ToolResponse + type: object + RouteInfo: + description: Information about an API route including its path, method, and implementing providers. + properties: + route: + title: Route + type: string + method: + title: Method + type: string + provider_types: items: type: string - description: >- - List of attention module names to apply LoRA to - apply_lora_to_mlp: - type: boolean - description: Whether to apply LoRA to MLP layers - apply_lora_to_output: - type: boolean - description: >- - Whether to apply LoRA to output projection layers - rank: - type: integer - description: >- - Rank of the LoRA adaptation (lower rank = fewer parameters) - alpha: - type: integer - description: >- - LoRA scaling parameter that controls adaptation strength - use_dora: - type: boolean - default: false - description: >- - (Optional) Whether to use DoRA (Weight-Decomposed Low-Rank Adaptation) - quantize_base: - type: boolean - default: false - description: >- - (Optional) Whether to quantize the base model weights - additionalProperties: false + title: Provider Types + type: array required: - - type - - lora_attn_modules - - apply_lora_to_mlp - - apply_lora_to_output - - rank - - alpha - title: LoraFinetuningConfig - description: >- - Configuration for Low-Rank Adaptation (LoRA) fine-tuning. - QATFinetuningConfig: + - route + - method + - provider_types + title: RouteInfo type: object + ListRoutesResponse: + description: Response containing a list of all available API routes. properties: - type: - type: string - const: QAT - default: QAT - description: Algorithm type identifier, always "QAT" - quantizer_name: - type: string - description: >- - Name of the quantization algorithm to use - group_size: - type: integer - description: Size of groups for grouped quantization - additionalProperties: false + data: + items: + $ref: '#/components/schemas/RouteInfo' + title: Data + type: array required: - - type - - quantizer_name - - group_size - title: QATFinetuningConfig - description: >- - Configuration for Quantization-Aware Training (QAT) fine-tuning. - SupervisedFineTuneRequest: + - data + title: ListRoutesResponse type: object + PostTrainingJobArtifactsResponse: + description: Artifacts of a finetuning job. properties: job_uuid: + title: Job Uuid type: string - description: The UUID of the job to create. + checkpoints: + items: + $ref: '#/components/schemas/Checkpoint' + title: Checkpoints + type: array + required: + - job_uuid + title: PostTrainingJobArtifactsResponse + type: object + PostTrainingJobLogStream: + description: Stream of logs from a finetuning job. + properties: + job_uuid: + title: Job Uuid + type: string + log_lines: + items: + type: string + title: Log Lines + type: array + required: + - job_uuid + - log_lines + title: PostTrainingJobLogStream + type: object + PostTrainingJobStatusResponse: + description: Status of a finetuning job. + properties: + job_uuid: + title: Job Uuid + type: string + status: + $ref: '#/components/schemas/JobStatus' + scheduled_at: + anyOf: + - format: date-time + type: string + - type: 'null' + title: Scheduled At + nullable: true + started_at: + anyOf: + - format: date-time + type: string + - type: 'null' + title: Started At + nullable: true + completed_at: + anyOf: + - format: date-time + type: string + - type: 'null' + title: Completed At + nullable: true + resources_allocated: + anyOf: + - additionalProperties: true + type: object + - type: 'null' + title: Resources Allocated + nullable: true + checkpoints: + items: + $ref: '#/components/schemas/Checkpoint' + title: Checkpoints + type: array + required: + - job_uuid + - status + title: PostTrainingJobStatusResponse + type: object + RLHFAlgorithm: + description: Available reinforcement learning from human feedback algorithms. + enum: + - dpo + title: RLHFAlgorithm + type: string + PostTrainingRLHFRequest: + description: Request to finetune a model using reinforcement learning from human feedback. + properties: + job_uuid: + title: Job Uuid + type: string + finetuned_model: + $ref: '#/components/schemas/URL' + dataset_id: + title: Dataset Id + type: string + validation_dataset_id: + title: Validation Dataset Id + type: string + algorithm: + $ref: '#/components/schemas/RLHFAlgorithm' + algorithm_config: + $ref: '#/components/schemas/DPOAlignmentConfig' + optimizer_config: + $ref: '#/components/schemas/OptimizerConfig' training_config: $ref: '#/components/schemas/TrainingConfig' - description: The training configuration. hyperparam_search_config: + additionalProperties: true + title: Hyperparam Search Config type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: The hyperparam search configuration. logger_config: + additionalProperties: true + title: Logger Config type: object - additionalProperties: - oneOf: - - type: 'null' - - type: boolean - - type: number - - type: string - - type: array - - type: object - description: The logger configuration. - model: - type: string - description: The model to fine-tune. - checkpoint_dir: - type: string - description: The directory to save checkpoint(s) to. - algorithm_config: - $ref: '#/components/schemas/AlgorithmConfig' - description: The algorithm configuration. - additionalProperties: false required: - job_uuid - training_config @@ -11906,8 +20354,7 @@ components: title: Bad Request detail: The request was invalid or malformed TooManyRequests429: - description: >- - The client has sent too many requests in a given amount of time + description: The client has sent too many requests in a given amount of time content: application/json: schema: @@ -11915,11 +20362,9 @@ components: example: status: 429 title: Too Many Requests - detail: >- - You have exceeded the rate limit. Please try again later. + detail: You have exceeded the rate limit. Please try again later. InternalServerError500: - description: >- - The server encountered an unexpected error + description: The server encountered an unexpected error content: application/json: schema: @@ -11927,127 +20372,10 @@ components: example: status: 500 title: Internal Server Error - detail: >- - An unexpected error occurred. Our team has been notified. + detail: An unexpected error occurred DefaultError: - description: An unexpected error occurred + description: An error occurred content: application/json: schema: $ref: '#/components/schemas/Error' - example: - status: 0 - title: Error - detail: An unexpected error occurred -security: - - Default: [] -tags: - - name: Agents - description: >- - APIs for creating and interacting with agentic systems. - x-displayName: Agents - - name: Batches - description: >- - The API is designed to allow use of openai client libraries for seamless integration. - - - This API provides the following extensions: - - idempotent batch creation - - Note: This API is currently under active development and may undergo changes. - x-displayName: >- - The Batches API enables efficient processing of multiple requests in a single - operation, particularly useful for processing large datasets, batch evaluation - workflows, and cost-effective inference at scale. - - name: Benchmarks - description: '' - - name: Conversations - description: >- - Protocol for conversation management operations. - x-displayName: Conversations - - name: DatasetIO - description: '' - - name: Datasets - description: '' - - name: Eval - description: >- - Llama Stack Evaluation API for running evaluations on model and agent candidates. - x-displayName: Evaluations - - name: Files - description: >- - This API is used to upload documents that can be used with other Llama Stack - APIs. - x-displayName: Files - - name: Inference - description: >- - Llama Stack Inference API for generating completions, chat completions, and - embeddings. - - - This API provides the raw interface to the underlying models. Three kinds of - models are supported: - - - LLM models: these models generate "raw" and "chat" (conversational) completions. - - - Embedding models: these models generate embeddings to be used for semantic - search. - - - Rerank models: these models reorder the documents based on their relevance - to a query. - x-displayName: Inference - - name: Inspect - description: >- - APIs for inspecting the Llama Stack service, including health status, available - API routes with methods and implementing providers. - x-displayName: Inspect - - name: Models - description: '' - - name: PostTraining (Coming Soon) - description: '' - - name: Prompts - description: >- - Protocol for prompt management operations. - x-displayName: Prompts - - name: Providers - description: >- - Providers API for inspecting, listing, and modifying providers and their configurations. - x-displayName: Providers - - name: Safety - description: OpenAI-compatible Moderations API. - x-displayName: Safety - - name: Scoring - description: '' - - name: ScoringFunctions - description: '' - - name: Shields - description: '' - - name: ToolGroups - description: '' - - name: ToolRuntime - description: '' - - name: VectorIO - description: '' -x-tagGroups: - - name: Operations - tags: - - Agents - - Batches - - Benchmarks - - Conversations - - DatasetIO - - Datasets - - Eval - - Files - - Inference - - Inspect - - Models - - PostTraining (Coming Soon) - - Prompts - - Providers - - Safety - - Scoring - - ScoringFunctions - - Shields - - ToolGroups - - ToolRuntime - - VectorIO diff --git a/pyproject.toml b/pyproject.toml index 34728d6ea..1538d7491 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -31,7 +31,7 @@ dependencies = [ "httpx", "jinja2>=3.1.6", "jsonschema", - "llama-stack-api", # API and provider specifications (local dev via tool.uv.sources) + "llama-stack-api", # API and provider specifications (local dev via tool.uv.sources) "openai>=2.5.0", "prompt-toolkit", "python-dotenv", @@ -50,11 +50,12 @@ dependencies = [ "aiosqlite>=0.21.0", # server - for metadata store "asyncpg", # for metadata store "sqlalchemy[asyncio]>=2.0.41", # server - for conversations + "pyyaml>=6.0.2", ] [project.optional-dependencies] client = [ - "llama-stack-client>=0.3.0", # Optional for library-only usage + "llama-stack-client>=0.3.0", # Optional for library-only usage ] [dependency-groups] @@ -65,13 +66,14 @@ dev = [ "pytest-cov", "pytest-html", "pytest-json-report", - "pytest-socket", # For blocking network access in unit tests - "nbval", # For notebook testing + "pytest-socket", # For blocking network access in unit tests + "nbval", # For notebook testing "black", "ruff", "mypy", "pre-commit>=4.4.0", - "ruamel.yaml", # needed for openapi generator + "ruamel.yaml", # needed for openapi generator + "openapi-spec-validator>=0.7.2", ] # Type checking dependencies - includes type stubs and optional runtime dependencies # needed for complete mypy coverage across all optional features @@ -181,7 +183,12 @@ install-wheel-from-presigned = "llama_stack.cli.scripts.run:install_wheel_from_p [tool.setuptools.packages.find] where = ["src"] -include = ["llama_stack", "llama_stack.*", "llama_stack_api", "llama_stack_api.*"] +include = [ + "llama_stack", + "llama_stack.*", + "llama_stack_api", + "llama_stack_api.*", +] [[tool.uv.index]] name = "pytorch-cpu" @@ -248,7 +255,9 @@ unfixable = [ # Ignore the following errors for the following files [tool.ruff.lint.per-file-ignores] "tests/**/*.py" = ["DTZ"] # Ignore datetime rules for tests -"src/llama_stack/providers/inline/scoring/basic/utils/ifeval_utils.py" = ["RUF001"] +"src/llama_stack/providers/inline/scoring/basic/utils/ifeval_utils.py" = [ + "RUF001", +] "src/llama_stack/providers/inline/scoring/basic/scoring_fn/fn_defs/regex_parser_multiple_choice_answer.py" = [ "RUF001", "PLE2515", @@ -340,7 +349,6 @@ exclude = [ "^src/llama_stack/providers/utils/telemetry/dataset_mixin\\.py$", "^src/llama_stack/providers/utils/telemetry/trace_protocol\\.py$", "^src/llama_stack/providers/utils/telemetry/tracing\\.py$", - "^src/llama_stack_api/strong_typing/auxiliary\\.py$", "^src/llama_stack/distributions/template\\.py$", ] diff --git a/scripts/fastapi_generator.py b/scripts/fastapi_generator.py new file mode 100755 index 000000000..a4c7e7cc6 --- /dev/null +++ b/scripts/fastapi_generator.py @@ -0,0 +1,1591 @@ +#!/usr/bin/env python3 +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the terms described in the LICENSE file in +# the root directory of this source tree. + +""" +FastAPI-based OpenAPI generator for Llama Stack. +""" + +import importlib +import inspect +import json +import pkgutil +from pathlib import Path +from typing import Annotated, Any, get_args, get_origin + +import yaml +from fastapi import FastAPI +from fastapi.openapi.utils import get_openapi +from openapi_spec_validator import validate_spec +from openapi_spec_validator.exceptions import OpenAPISpecValidatorError + +from llama_stack.apis.datatypes import Api +from llama_stack.apis.version import ( + LLAMA_STACK_API_V1, + LLAMA_STACK_API_V1ALPHA, + LLAMA_STACK_API_V1BETA, +) +from llama_stack.core.resolver import api_protocol_map + +# Global list to store dynamic models created during endpoint generation +_dynamic_models = [] + + +# Cache for protocol methods to avoid repeated lookups +_protocol_methods_cache: dict[Api, dict[str, Any]] | None = None + + +def create_llama_stack_app() -> FastAPI: + """ + Create a FastAPI app that represents the Llama Stack API. + This uses the existing route discovery system to automatically find all routes. + """ + app = FastAPI( + title="Llama Stack API", + description="A comprehensive API for building and deploying AI applications", + version="1.0.0", + servers=[ + {"url": "http://any-hosted-llama-stack.com"}, + ], + ) + + # Get all API routes + from llama_stack.core.server.routes import get_all_api_routes + + api_routes = get_all_api_routes() + + # Create FastAPI routes from the discovered routes + for api, routes in api_routes.items(): + for route, webmethod in routes: + # Convert the route to a FastAPI endpoint + _create_fastapi_endpoint(app, route, webmethod, api) + + return app + + +def _get_protocol_method(api: Api, method_name: str) -> Any | None: + """ + Get a protocol method function by API and method name. + Uses caching to avoid repeated lookups. + + Args: + api: The API enum + method_name: The method name (function name) + + Returns: + The function object, or None if not found + """ + global _protocol_methods_cache + + if _protocol_methods_cache is None: + _protocol_methods_cache = {} + protocols = api_protocol_map() + from llama_stack.apis.tools import SpecialToolGroup, ToolRuntime + + toolgroup_protocols = { + SpecialToolGroup.rag_tool: ToolRuntime, + } + + for api_key, protocol in protocols.items(): + method_map: dict[str, Any] = {} + protocol_methods = inspect.getmembers(protocol, predicate=inspect.isfunction) + for name, method in protocol_methods: + method_map[name] = method + + # Handle tool_runtime special case + if api_key == Api.tool_runtime: + for tool_group, sub_protocol in toolgroup_protocols.items(): + sub_protocol_methods = inspect.getmembers(sub_protocol, predicate=inspect.isfunction) + for name, method in sub_protocol_methods: + if hasattr(method, "__webmethod__"): + method_map[f"{tool_group.value}.{name}"] = method + + _protocol_methods_cache[api_key] = method_map + + return _protocol_methods_cache.get(api, {}).get(method_name) + + +def _extract_path_parameters(path: str) -> list[dict[str, Any]]: + """Extract path parameters from a URL path and return them as OpenAPI parameter definitions.""" + import re + + matches = re.findall(r"\{([^}:]+)(?::[^}]+)?\}", path) + return [ + { + "name": param_name, + "in": "path", + "required": True, + "schema": {"type": "string"}, + "description": f"Path parameter: {param_name}", + } + for param_name in matches + ] + + +def _create_endpoint_with_request_model( + request_model: type, response_model: type | None, operation_description: str | None +): + """Create an endpoint function with a request body model.""" + + async def endpoint(request: request_model) -> response_model: + return response_model() if response_model else {} + + if operation_description: + endpoint.__doc__ = operation_description + return endpoint + + +def _build_field_definitions(query_parameters: list[tuple[str, type, Any]], use_any: bool = False) -> dict[str, tuple]: + """Build field definitions for a Pydantic model from query parameters.""" + from typing import Any + + from pydantic import Field + + field_definitions = {} + for param_name, param_type, default_value in query_parameters: + if use_any: + field_definitions[param_name] = (Any, ... if default_value is inspect.Parameter.empty else default_value) + continue + + base_type = param_type + extracted_field = None + if get_origin(param_type) is Annotated: + args = get_args(param_type) + if args: + base_type = args[0] + for arg in args[1:]: + if isinstance(arg, Field): + extracted_field = arg + break + + try: + if extracted_field: + field_definitions[param_name] = (base_type, extracted_field) + else: + field_definitions[param_name] = ( + base_type, + ... if default_value is inspect.Parameter.empty else default_value, + ) + except (TypeError, ValueError): + field_definitions[param_name] = (Any, ... if default_value is inspect.Parameter.empty else default_value) + + # Ensure all parameters are included + expected_params = {name for name, _, _ in query_parameters} + missing = expected_params - set(field_definitions.keys()) + if missing: + for param_name, _, default_value in query_parameters: + if param_name in missing: + field_definitions[param_name] = ( + Any, + ... if default_value is inspect.Parameter.empty else default_value, + ) + + return field_definitions + + +def _create_dynamic_request_model( + webmethod, query_parameters: list[tuple[str, type, Any]], use_any: bool = False, add_uuid: bool = False +) -> type | None: + """Create a dynamic Pydantic model for request body.""" + import uuid + + from pydantic import create_model + + try: + field_definitions = _build_field_definitions(query_parameters, use_any) + clean_route = webmethod.route.replace("/", "_").replace("{", "").replace("}", "").replace("-", "_") + model_name = f"{clean_route}_Request" + if add_uuid: + model_name = f"{model_name}_{uuid.uuid4().hex[:8]}" + + request_model = create_model(model_name, **field_definitions) + _dynamic_models.append(request_model) + return request_model + except Exception: + return None + + +def _build_signature_params( + query_parameters: list[tuple[str, type, Any]], +) -> tuple[list[inspect.Parameter], dict[str, type]]: + """Build signature parameters and annotations from query parameters.""" + signature_params = [] + param_annotations = {} + for param_name, param_type, default_value in query_parameters: + param_annotations[param_name] = param_type + signature_params.append( + inspect.Parameter( + param_name, + inspect.Parameter.POSITIONAL_OR_KEYWORD, + default=default_value if default_value is not inspect.Parameter.empty else inspect.Parameter.empty, + annotation=param_type, + ) + ) + return signature_params, param_annotations + + +def _create_fastapi_endpoint(app: FastAPI, route, webmethod, api: Api): + """Create a FastAPI endpoint from a discovered route and webmethod.""" + path = route.path + methods = route.methods + name = route.name + fastapi_path = path.replace("{", "{").replace("}", "}") + + request_model, response_model, query_parameters, file_form_params = _find_models_for_endpoint(webmethod, api, name) + operation_description = _extract_operation_description_from_docstring(api, name) + response_description = _extract_response_description_from_docstring(webmethod, response_model, api, name) + is_post_put = any(method.upper() in ["POST", "PUT", "PATCH"] for method in methods) + + if file_form_params and is_post_put: + signature_params = list(file_form_params) + param_annotations = {param.name: param.annotation for param in file_form_params} + for param_name, param_type, default_value in query_parameters: + signature_params.append( + inspect.Parameter( + param_name, + inspect.Parameter.POSITIONAL_OR_KEYWORD, + default=default_value if default_value is not inspect.Parameter.empty else inspect.Parameter.empty, + annotation=param_type, + ) + ) + param_annotations[param_name] = param_type + + async def file_form_endpoint(): + return response_model() if response_model else {} + + if operation_description: + file_form_endpoint.__doc__ = operation_description + file_form_endpoint.__signature__ = inspect.Signature(signature_params) + file_form_endpoint.__annotations__ = param_annotations + endpoint_func = file_form_endpoint + elif request_model and response_model: + endpoint_func = _create_endpoint_with_request_model(request_model, response_model, operation_description) + elif response_model and query_parameters: + if is_post_put: + # Try creating request model with type preservation, fallback to Any, then minimal + request_model = _create_dynamic_request_model(webmethod, query_parameters, use_any=False) + if not request_model: + request_model = _create_dynamic_request_model(webmethod, query_parameters, use_any=True) + if not request_model: + request_model = _create_dynamic_request_model(webmethod, query_parameters, use_any=True, add_uuid=True) + + if request_model: + endpoint_func = _create_endpoint_with_request_model( + request_model, response_model, operation_description + ) + else: + + async def empty_endpoint() -> response_model: + return response_model() if response_model else {} + + if operation_description: + empty_endpoint.__doc__ = operation_description + endpoint_func = empty_endpoint + else: + sorted_params = sorted(query_parameters, key=lambda x: (x[2] is not inspect.Parameter.empty, x[0])) + signature_params, param_annotations = _build_signature_params(sorted_params) + + async def query_endpoint(): + return response_model() + + if operation_description: + query_endpoint.__doc__ = operation_description + query_endpoint.__signature__ = inspect.Signature(signature_params) + query_endpoint.__annotations__ = param_annotations + endpoint_func = query_endpoint + elif response_model: + + async def response_only_endpoint() -> response_model: + return response_model() + + if operation_description: + response_only_endpoint.__doc__ = operation_description + endpoint_func = response_only_endpoint + elif query_parameters: + signature_params, param_annotations = _build_signature_params(query_parameters) + + async def params_only_endpoint(): + return {} + + if operation_description: + params_only_endpoint.__doc__ = operation_description + params_only_endpoint.__signature__ = inspect.Signature(signature_params) + params_only_endpoint.__annotations__ = param_annotations + endpoint_func = params_only_endpoint + else: + + async def no_params_endpoint(): + return {} + + if operation_description: + no_params_endpoint.__doc__ = operation_description + endpoint_func = no_params_endpoint + + # Add the endpoint to the FastAPI app + is_deprecated = webmethod.deprecated or False + route_kwargs = { + "name": name, + "tags": [_get_tag_from_api(api)], + "deprecated": is_deprecated, + "responses": { + 200: { + "description": response_description, + "content": { + "application/json": { + "schema": {"$ref": f"#/components/schemas/{response_model.__name__}"} if response_model else {} + } + }, + }, + 400: {"$ref": "#/components/responses/BadRequest400"}, + 429: {"$ref": "#/components/responses/TooManyRequests429"}, + 500: {"$ref": "#/components/responses/InternalServerError500"}, + "default": {"$ref": "#/components/responses/DefaultError"}, + }, + } + + method_map = {"GET": app.get, "POST": app.post, "PUT": app.put, "DELETE": app.delete, "PATCH": app.patch} + for method in methods: + if handler := method_map.get(method.upper()): + handler(fastapi_path, **route_kwargs)(endpoint_func) + + +def _extract_operation_description_from_docstring(api: Api, method_name: str) -> str | None: + """Extract operation description from the actual function docstring.""" + func = _get_protocol_method(api, method_name) + if not func or not func.__doc__: + return None + + doc_lines = func.__doc__.split("\n") + description_lines = [] + metadata_markers = (":param", ":type", ":return", ":returns", ":raises", ":exception", ":yield", ":yields", ":cvar") + + for line in doc_lines: + if line.strip().startswith(metadata_markers): + break + description_lines.append(line) + + description = "\n".join(description_lines).strip() + return description if description else None + + +def _extract_response_description_from_docstring(webmethod, response_model, api: Api, method_name: str) -> str: + """Extract response description from the actual function docstring.""" + func = _get_protocol_method(api, method_name) + if not func or not func.__doc__: + return "Successful Response" + for line in func.__doc__.split("\n"): + if line.strip().startswith(":returns:"): + if desc := line.strip()[9:].strip(): + return desc + return "Successful Response" + + +def _get_tag_from_api(api: Api) -> str: + """Extract a tag name from the API enum for API grouping.""" + return api.value.replace("_", " ").title() + + +def _is_file_or_form_param(param_type: Any) -> bool: + """Check if a parameter type is annotated with File() or Form().""" + if get_origin(param_type) is Annotated: + args = get_args(param_type) + if len(args) > 1: + # Check metadata for File or Form + for metadata in args[1:]: + # Check if it's a File or Form instance + if hasattr(metadata, "__class__"): + class_name = metadata.__class__.__name__ + if class_name in ("File", "Form"): + return True + return False + + +def _find_models_for_endpoint( + webmethod, api: Api, method_name: str +) -> tuple[type | None, type | None, list[tuple[str, type, Any]], list[inspect.Parameter]]: + """ + Find appropriate request and response models for an endpoint by analyzing the actual function signature. + This uses the protocol function to determine the correct models dynamically. + + Args: + webmethod: The webmethod metadata + api: The API enum for looking up the function + method_name: The method name (function name) + + Returns: + tuple: (request_model, response_model, query_parameters, file_form_params) + where query_parameters is a list of (name, type, default_value) tuples + and file_form_params is a list of inspect.Parameter objects for File()/Form() params + """ + try: + # Get the function from the protocol + func = _get_protocol_method(api, method_name) + if not func: + return None, None, [], [] + + # Analyze the function signature + sig = inspect.signature(func) + + # Find request model and collect all body parameters + request_model = None + query_parameters = [] + file_form_params = [] + path_params = set() + + # Extract path parameters from the route + if webmethod and hasattr(webmethod, "route"): + import re + + path_matches = re.findall(r"\{([^}:]+)(?::[^}]+)?\}", webmethod.route) + path_params = set(path_matches) + + for param_name, param in sig.parameters.items(): + if param_name == "self": + continue + + # Skip *args and **kwargs parameters - these are not real API parameters + if param.kind in (inspect.Parameter.VAR_POSITIONAL, inspect.Parameter.VAR_KEYWORD): + continue + + # Check if this is a path parameter + if param_name in path_params: + # Path parameters are handled separately, skip them + continue + + # Check if it's a File() or Form() parameter - these need special handling + param_type = param.annotation + if _is_file_or_form_param(param_type): + # File() and Form() parameters must be in the function signature directly + # They cannot be part of a Pydantic model + file_form_params.append(param) + continue + + # Check if it's a Pydantic model (for POST/PUT requests) + if hasattr(param_type, "model_json_schema"): + # Collect all body parameters including Pydantic models + # We'll decide later whether to use a single model or create a combined one + query_parameters.append((param_name, param_type, param.default)) + elif get_origin(param_type) is Annotated: + # Handle Annotated types - get the base type + args = get_args(param_type) + if args and hasattr(args[0], "model_json_schema"): + # Collect Pydantic models from Annotated types + query_parameters.append((param_name, args[0], param.default)) + else: + # Regular annotated parameter (but not File/Form, already handled above) + query_parameters.append((param_name, param_type, param.default)) + else: + # This is likely a body parameter for POST/PUT or query parameter for GET + # Store the parameter info for later use + # Preserve inspect.Parameter.empty to distinguish "no default" from "default=None" + default_value = param.default + + # Extract the base type from union types (e.g., str | None -> str) + # Also make it safe for FastAPI to avoid forward reference issues + query_parameters.append((param_name, param_type, default_value)) + + # If there's exactly one body parameter and it's a Pydantic model, use it directly + # Otherwise, we'll create a combined request model from all parameters + if len(query_parameters) == 1: + param_name, param_type, default_value = query_parameters[0] + if hasattr(param_type, "model_json_schema"): + request_model = param_type + query_parameters = [] # Clear query_parameters so we use the single model + + # Find response model from return annotation + response_model = None + return_annotation = sig.return_annotation + if return_annotation != inspect.Signature.empty: + if hasattr(return_annotation, "model_json_schema"): + response_model = return_annotation + elif get_origin(return_annotation) is Annotated: + # Handle Annotated return types + args = get_args(return_annotation) + if args: + # Check if the first argument is a Pydantic model + if hasattr(args[0], "model_json_schema"): + response_model = args[0] + # Check if the first argument is a union type + elif get_origin(args[0]) is type(args[0]): # Union type + union_args = get_args(args[0]) + for arg in union_args: + if hasattr(arg, "model_json_schema"): + response_model = arg + break + elif get_origin(return_annotation) is type(return_annotation): # Union type + # Handle union types - try to find the first Pydantic model + args = get_args(return_annotation) + for arg in args: + if hasattr(arg, "model_json_schema"): + response_model = arg + break + + return request_model, response_model, query_parameters, file_form_params + + except Exception: + # If we can't analyze the function signature, return None + return None, None, [], [] + + +def _ensure_components_schemas(openapi_schema: dict[str, Any]) -> None: + """Ensure components.schemas exists in the schema.""" + if "components" not in openapi_schema: + openapi_schema["components"] = {} + if "schemas" not in openapi_schema["components"]: + openapi_schema["components"]["schemas"] = {} + + +def _import_all_modules_in_package(package_name: str) -> list[Any]: + """ + Dynamically import all modules in a package to trigger register_schema calls. + + This walks through all modules in the package and imports them, ensuring + that any register_schema() calls at module level are executed. + + Args: + package_name: The fully qualified package name (e.g., 'llama_stack.apis') + + Returns: + List of imported module objects + """ + modules = [] + try: + package = importlib.import_module(package_name) + except ImportError: + return modules + + package_path = getattr(package, "__path__", None) + if not package_path: + return modules + + # Walk packages and modules recursively + for _, modname, ispkg in pkgutil.walk_packages(package_path, prefix=f"{package_name}."): + if not modname.startswith("_"): + try: + module = importlib.import_module(modname) + modules.append(module) + + # If this is a package, also try to import any .py files directly + # (e.g., llama_stack.apis.scoring_functions.scoring_functions) + if ispkg: + try: + # Try importing the module file with the same name as the package + # This handles cases like scoring_functions/scoring_functions.py + module_file_name = f"{modname}.{modname.split('.')[-1]}" + module_file = importlib.import_module(module_file_name) + if module_file not in modules: + modules.append(module_file) + except (ImportError, AttributeError, TypeError): + # It's okay if this fails - not all packages have a module file with the same name + pass + except (ImportError, AttributeError, TypeError): + # Skip modules that can't be imported (e.g., missing dependencies) + continue + + return modules + + +def _extract_and_fix_defs(schema: dict[str, Any], openapi_schema: dict[str, Any]) -> None: + """ + Extract $defs from a schema, move them to components/schemas, and fix references. + This handles both TypeAdapter-generated schemas and model_json_schema() schemas. + """ + if "$defs" in schema: + defs = schema.pop("$defs") + for def_name, def_schema in defs.items(): + if def_name not in openapi_schema["components"]["schemas"]: + openapi_schema["components"]["schemas"][def_name] = def_schema + # Recursively handle $defs in nested schemas + _extract_and_fix_defs(def_schema, openapi_schema) + + # Fix any references in the main schema that point to $defs + def fix_refs_in_schema(obj: Any) -> None: + if isinstance(obj, dict): + if "$ref" in obj and obj["$ref"].startswith("#/$defs/"): + obj["$ref"] = obj["$ref"].replace("#/$defs/", "#/components/schemas/") + for value in obj.values(): + fix_refs_in_schema(value) + elif isinstance(obj, list): + for item in obj: + fix_refs_in_schema(item) + + fix_refs_in_schema(schema) + + +def _ensure_json_schema_types_included(openapi_schema: dict[str, Any]) -> dict[str, Any]: + """ + Ensure all @json_schema_type decorated models and registered schemas are included in the OpenAPI schema. + This finds all models with the _llama_stack_schema_type attribute and schemas registered via register_schema. + """ + _ensure_components_schemas(openapi_schema) + + # Import TypeAdapter for handling union types and other non-model types + from pydantic import TypeAdapter + + # Dynamically import all modules in packages that might register schemas + # This ensures register_schema() calls execute and populate _registered_schemas + # Also collect the modules for later scanning of @json_schema_type decorated classes + apis_modules = _import_all_modules_in_package("llama_stack.apis") + _import_all_modules_in_package("llama_stack.core.telemetry") + + # First, handle registered schemas (union types, etc.) + from llama_stack.schema_utils import _registered_schemas + + for schema_type, registration_info in _registered_schemas.items(): + schema_name = registration_info["name"] + if schema_name not in openapi_schema["components"]["schemas"]: + try: + # Use TypeAdapter for union types and other non-model types + # Use ref_template to generate references in the format we need + adapter = TypeAdapter(schema_type) + schema = adapter.json_schema(ref_template="#/components/schemas/{model}") + + # Extract and fix $defs if present + _extract_and_fix_defs(schema, openapi_schema) + + openapi_schema["components"]["schemas"][schema_name] = schema + except Exception as e: + # Skip if we can't generate the schema + print(f"Warning: Failed to generate schema for registered type {schema_name}: {e}") + import traceback + + traceback.print_exc() + continue + + # Find all classes with the _llama_stack_schema_type attribute + # Use the modules we already imported above + for module in apis_modules: + for attr_name in dir(module): + try: + attr = getattr(module, attr_name) + if ( + hasattr(attr, "_llama_stack_schema_type") + and hasattr(attr, "model_json_schema") + and hasattr(attr, "__name__") + ): + schema_name = attr.__name__ + if schema_name not in openapi_schema["components"]["schemas"]: + try: + # Use ref_template to ensure consistent reference format and $defs handling + schema = attr.model_json_schema(ref_template="#/components/schemas/{model}") + # Extract and fix $defs if present (model_json_schema can also generate $defs) + _extract_and_fix_defs(schema, openapi_schema) + openapi_schema["components"]["schemas"][schema_name] = schema + except Exception as e: + # Skip if we can't generate the schema + print(f"Warning: Failed to generate schema for {schema_name}: {e}") + continue + except (AttributeError, TypeError): + continue + + # Also include any dynamic models that were created during endpoint generation + # This is a workaround to ensure dynamic models appear in the schema + global _dynamic_models + if "_dynamic_models" in globals(): + for model in _dynamic_models: + try: + schema_name = model.__name__ + if schema_name not in openapi_schema["components"]["schemas"]: + schema = model.model_json_schema(ref_template="#/components/schemas/{model}") + # Extract and fix $defs if present + _extract_and_fix_defs(schema, openapi_schema) + openapi_schema["components"]["schemas"][schema_name] = schema + except Exception: + # Skip if we can't generate the schema + continue + + return openapi_schema + + +def _fix_ref_references(openapi_schema: dict[str, Any]) -> dict[str, Any]: + """ + Fix $ref references to point to components/schemas instead of $defs. + This prevents the YAML dumper from creating a root-level $defs section. + """ + + def fix_refs(obj: Any) -> None: + if isinstance(obj, dict): + if "$ref" in obj and obj["$ref"].startswith("#/$defs/"): + # Replace #/$defs/ with #/components/schemas/ + obj["$ref"] = obj["$ref"].replace("#/$defs/", "#/components/schemas/") + for value in obj.values(): + fix_refs(value) + elif isinstance(obj, list): + for item in obj: + fix_refs(item) + + fix_refs(openapi_schema) + return openapi_schema + + +def _eliminate_defs_section(openapi_schema: dict[str, Any]) -> dict[str, Any]: + """ + Eliminate $defs section entirely by moving all definitions to components/schemas. + This matches the structure of the old pyopenapi generator for oasdiff compatibility. + """ + _ensure_components_schemas(openapi_schema) + + # First pass: collect all $defs from anywhere in the schema + defs_to_move = {} + + def collect_defs(obj: Any) -> None: + if isinstance(obj, dict): + if "$defs" in obj: + # Collect $defs for later processing + for def_name, def_schema in obj["$defs"].items(): + if def_name not in defs_to_move: + defs_to_move[def_name] = def_schema + + # Recursively process all values + for value in obj.values(): + collect_defs(value) + elif isinstance(obj, list): + for item in obj: + collect_defs(item) + + # Collect all $defs + collect_defs(openapi_schema) + + # Move all $defs to components/schemas + for def_name, def_schema in defs_to_move.items(): + if def_name not in openapi_schema["components"]["schemas"]: + openapi_schema["components"]["schemas"][def_name] = def_schema + + # Also move any existing root-level $defs to components/schemas + if "$defs" in openapi_schema: + print(f"Found root-level $defs with {len(openapi_schema['$defs'])} items, moving to components/schemas") + for def_name, def_schema in openapi_schema["$defs"].items(): + if def_name not in openapi_schema["components"]["schemas"]: + openapi_schema["components"]["schemas"][def_name] = def_schema + # Remove the root-level $defs + del openapi_schema["$defs"] + + # Second pass: remove all $defs sections from anywhere in the schema + def remove_defs(obj: Any) -> None: + if isinstance(obj, dict): + if "$defs" in obj: + del obj["$defs"] + + # Recursively process all values + for value in obj.values(): + remove_defs(value) + elif isinstance(obj, list): + for item in obj: + remove_defs(item) + + # Remove all $defs sections + remove_defs(openapi_schema) + + return openapi_schema + + +def _add_error_responses(openapi_schema: dict[str, Any]) -> dict[str, Any]: + """ + Add standard error response definitions to the OpenAPI schema. + Uses the actual Error model from the codebase for consistency. + """ + if "components" not in openapi_schema: + openapi_schema["components"] = {} + if "responses" not in openapi_schema["components"]: + openapi_schema["components"]["responses"] = {} + + try: + from llama_stack.apis.datatypes import Error + + _ensure_components_schemas(openapi_schema) + if "Error" not in openapi_schema["components"]["schemas"]: + openapi_schema["components"]["schemas"]["Error"] = Error.model_json_schema() + except ImportError: + pass + + # Define standard HTTP error responses + error_responses = { + 400: { + "name": "BadRequest400", + "description": "The request was invalid or malformed", + "example": {"status": 400, "title": "Bad Request", "detail": "The request was invalid or malformed"}, + }, + 429: { + "name": "TooManyRequests429", + "description": "The client has sent too many requests in a given amount of time", + "example": { + "status": 429, + "title": "Too Many Requests", + "detail": "You have exceeded the rate limit. Please try again later.", + }, + }, + 500: { + "name": "InternalServerError500", + "description": "The server encountered an unexpected error", + "example": {"status": 500, "title": "Internal Server Error", "detail": "An unexpected error occurred"}, + }, + } + + # Add each error response to the schema + for _, error_info in error_responses.items(): + response_name = error_info["name"] + openapi_schema["components"]["responses"][response_name] = { + "description": error_info["description"], + "content": { + "application/json": {"schema": {"$ref": "#/components/schemas/Error"}, "example": error_info["example"]} + }, + } + + # Add a default error response + openapi_schema["components"]["responses"]["DefaultError"] = { + "description": "An error occurred", + "content": {"application/json": {"schema": {"$ref": "#/components/schemas/Error"}}}, + } + + return openapi_schema + + +def _fix_path_parameters(openapi_schema: dict[str, Any]) -> dict[str, Any]: + """ + Fix path parameter resolution issues by adding explicit parameter definitions. + """ + if "paths" not in openapi_schema: + return openapi_schema + + for path, path_item in openapi_schema["paths"].items(): + # Extract path parameters from the URL + path_params = _extract_path_parameters(path) + + if not path_params: + continue + + # Add parameters to each operation in this path + for method in ["get", "post", "put", "delete", "patch", "head", "options"]: + if method in path_item and isinstance(path_item[method], dict): + operation = path_item[method] + if "parameters" not in operation: + operation["parameters"] = [] + + # Add path parameters that aren't already defined + existing_param_names = {p.get("name") for p in operation["parameters"] if p.get("in") == "path"} + for param in path_params: + if param["name"] not in existing_param_names: + operation["parameters"].append(param) + + return openapi_schema + + +def _fix_schema_issues(openapi_schema: dict[str, Any]) -> dict[str, Any]: + """Fix common schema issues: exclusiveMinimum and null defaults.""" + if "components" in openapi_schema and "schemas" in openapi_schema["components"]: + for schema_def in openapi_schema["components"]["schemas"].values(): + _fix_schema_recursive(schema_def) + return openapi_schema + + +def validate_openapi_schema(schema: dict[str, Any], schema_name: str = "OpenAPI schema") -> bool: + """ + Validate an OpenAPI schema using openapi-spec-validator. + + Args: + schema: The OpenAPI schema dictionary to validate + schema_name: Name of the schema for error reporting + + Returns: + True if valid, False otherwise + + Raises: + OpenAPIValidationError: If validation fails + """ + try: + validate_spec(schema) + print(f"✅ {schema_name} is valid") + return True + except OpenAPISpecValidatorError as e: + print(f"❌ {schema_name} validation failed:") + print(f" {e}") + return False + except Exception as e: + print(f"❌ {schema_name} validation error: {e}") + return False + + +def validate_schema_file(file_path: Path) -> bool: + """ + Validate an OpenAPI schema file (YAML or JSON). + + Args: + file_path: Path to the schema file + + Returns: + True if valid, False otherwise + """ + try: + with open(file_path) as f: + if file_path.suffix.lower() in [".yaml", ".yml"]: + schema = yaml.safe_load(f) + elif file_path.suffix.lower() == ".json": + schema = json.load(f) + else: + print(f"❌ Unsupported file format: {file_path.suffix}") + return False + + return validate_openapi_schema(schema, str(file_path)) + except Exception as e: + print(f"❌ Failed to read {file_path}: {e}") + return False + + +def _fix_schema_recursive(obj: Any) -> None: + """Recursively fix schema issues: exclusiveMinimum and null defaults.""" + if isinstance(obj, dict): + if "exclusiveMinimum" in obj and isinstance(obj["exclusiveMinimum"], int | float): + obj["minimum"] = obj.pop("exclusiveMinimum") + if "default" in obj and obj["default"] is None: + del obj["default"] + obj["nullable"] = True + for value in obj.values(): + _fix_schema_recursive(value) + elif isinstance(obj, list): + for item in obj: + _fix_schema_recursive(item) + + +def _clean_description(description: str) -> str: + """Remove :param, :type, :returns, and other docstring metadata from description.""" + if not description: + return description + + lines = description.split("\n") + cleaned_lines = [] + skip_until_empty = False + + for line in lines: + stripped = line.strip() + # Skip lines that start with docstring metadata markers + if stripped.startswith( + (":param", ":type", ":return", ":returns", ":raises", ":exception", ":yield", ":yields", ":cvar") + ): + skip_until_empty = True + continue + # If we're skipping and hit an empty line, resume normal processing + if skip_until_empty: + if not stripped: + skip_until_empty = False + continue + # Include the line if we're not skipping + cleaned_lines.append(line) + + # Join and strip trailing whitespace + result = "\n".join(cleaned_lines).strip() + return result + + +def _clean_schema_descriptions(openapi_schema: dict[str, Any]) -> dict[str, Any]: + """Clean descriptions in schema definitions by removing docstring metadata.""" + if "components" not in openapi_schema or "schemas" not in openapi_schema["components"]: + return openapi_schema + + schemas = openapi_schema["components"]["schemas"] + for schema_def in schemas.values(): + if isinstance(schema_def, dict) and "description" in schema_def and isinstance(schema_def["description"], str): + schema_def["description"] = _clean_description(schema_def["description"]) + + return openapi_schema + + +def _remove_query_params_from_body_endpoints(openapi_schema: dict[str, Any]) -> dict[str, Any]: + """ + Remove query parameters from POST/PUT/PATCH endpoints that have a request body. + FastAPI sometimes infers parameters as query params even when they should be in the request body. + """ + if "paths" not in openapi_schema: + return openapi_schema + + body_methods = {"post", "put", "patch"} + + for _path, path_item in openapi_schema["paths"].items(): + if not isinstance(path_item, dict): + continue + + for method in body_methods: + if method not in path_item: + continue + + operation = path_item[method] + if not isinstance(operation, dict): + continue + + # Check if this operation has a request body + has_request_body = "requestBody" in operation and operation["requestBody"] + + if has_request_body: + # Remove all query parameters (parameters with "in": "query") + if "parameters" in operation: + # Filter out query parameters, keep path and header parameters + operation["parameters"] = [ + param + for param in operation["parameters"] + if isinstance(param, dict) and param.get("in") != "query" + ] + # Remove the parameters key if it's now empty + if not operation["parameters"]: + del operation["parameters"] + + return openapi_schema + + +def _convert_multiline_strings_to_literal(obj: Any) -> Any: + """Recursively convert multi-line strings to LiteralScalarString for YAML block scalar formatting.""" + try: + from ruamel.yaml.scalarstring import LiteralScalarString + + if isinstance(obj, str) and "\n" in obj: + return LiteralScalarString(obj) + elif isinstance(obj, dict): + return {key: _convert_multiline_strings_to_literal(value) for key, value in obj.items()} + elif isinstance(obj, list): + return [_convert_multiline_strings_to_literal(item) for item in obj] + else: + return obj + except ImportError: + return obj + + +def _write_yaml_file(file_path: Path, schema: dict[str, Any]) -> None: + """Write schema to YAML file using ruamel.yaml if available, otherwise standard yaml.""" + try: + from ruamel.yaml import YAML + + yaml_writer = YAML() + yaml_writer.default_flow_style = False + yaml_writer.sort_keys = False + yaml_writer.width = 4096 + yaml_writer.allow_unicode = True + schema = _convert_multiline_strings_to_literal(schema) + with open(file_path, "w") as f: + yaml_writer.dump(schema, f) + except ImportError: + with open(file_path, "w") as f: + yaml.dump(schema, f, default_flow_style=False, sort_keys=False) + + +def _filter_schema_by_version( + openapi_schema: dict[str, Any], stable_only: bool = True, exclude_deprecated: bool = True +) -> dict[str, Any]: + """ + Filter OpenAPI schema by API version. + + Args: + openapi_schema: The full OpenAPI schema + stable_only: If True, return only /v1/ paths (stable). If False, return only /v1alpha/ and /v1beta/ paths (experimental). + exclude_deprecated: If True, exclude deprecated endpoints from the result. + + Returns: + Filtered OpenAPI schema + """ + filtered_schema = openapi_schema.copy() + + if "paths" not in filtered_schema: + return filtered_schema + + # Filter paths based on version prefix and deprecated status + filtered_paths = {} + for path, path_item in filtered_schema["paths"].items(): + # Check if path has any deprecated operations + is_deprecated = _is_path_deprecated(path_item) + + # Skip deprecated endpoints if exclude_deprecated is True + if exclude_deprecated and is_deprecated: + continue + + if stable_only: + # Only include stable v1 paths, exclude v1alpha and v1beta + if _is_stable_path(path): + filtered_paths[path] = path_item + else: + # Only include experimental paths (v1alpha or v1beta), exclude v1 + if _is_experimental_path(path): + filtered_paths[path] = path_item + + filtered_schema["paths"] = filtered_paths + + # Filter schemas/components to only include ones referenced by filtered paths + if "components" in filtered_schema and "schemas" in filtered_schema["components"]: + # Find all schemas that are actually referenced by the filtered paths + # Use the original schema to find all references, not the filtered one + referenced_schemas = _find_schemas_referenced_by_paths(filtered_paths, openapi_schema) + + # Also include all registered schemas and @json_schema_type decorated models + # (they should always be included) and all schemas they reference (transitive references) + from llama_stack.schema_utils import _registered_schemas + + # Use the original schema to find registered schema definitions + all_schemas = openapi_schema.get("components", {}).get("schemas", {}) + registered_schema_names = set() + for registration_info in _registered_schemas.values(): + registered_schema_names.add(registration_info["name"]) + + # Also include all @json_schema_type decorated models + json_schema_type_names = _get_all_json_schema_type_names() + all_explicit_schema_names = registered_schema_names | json_schema_type_names + + # Find all schemas referenced by registered schemas and @json_schema_type models (transitive) + additional_schemas = set() + for schema_name in all_explicit_schema_names: + referenced_schemas.add(schema_name) + if schema_name in all_schemas: + additional_schemas.update(_find_schema_refs_in_object(all_schemas[schema_name])) + + # Keep adding transitive references until no new ones are found + while additional_schemas: + new_schemas = additional_schemas - referenced_schemas + if not new_schemas: + break + referenced_schemas.update(new_schemas) + additional_schemas = set() + for schema_name in new_schemas: + if schema_name in all_schemas: + additional_schemas.update(_find_schema_refs_in_object(all_schemas[schema_name])) + + # Only keep schemas that are referenced by the filtered paths or are registered/@json_schema_type + filtered_schemas = {} + for schema_name, schema_def in filtered_schema["components"]["schemas"].items(): + if schema_name in referenced_schemas: + filtered_schemas[schema_name] = schema_def + + filtered_schema["components"]["schemas"] = filtered_schemas + + # Preserve $defs section if it exists + if "components" in openapi_schema and "$defs" in openapi_schema["components"]: + if "components" not in filtered_schema: + filtered_schema["components"] = {} + filtered_schema["components"]["$defs"] = openapi_schema["components"]["$defs"] + + return filtered_schema + + +def _find_schemas_referenced_by_paths(filtered_paths: dict[str, Any], openapi_schema: dict[str, Any]) -> set[str]: + """ + Find all schemas that are referenced by the filtered paths. + This recursively traverses the path definitions to find all $ref references. + """ + referenced_schemas = set() + + # Traverse all filtered paths + for _, path_item in filtered_paths.items(): + if not isinstance(path_item, dict): + continue + + # Check each HTTP method in the path + for method in ["get", "post", "put", "delete", "patch", "head", "options"]: + if method in path_item: + operation = path_item[method] + if isinstance(operation, dict): + # Find all schema references in this operation + referenced_schemas.update(_find_schema_refs_in_object(operation)) + + # Also check the responses section for schema references + if "components" in openapi_schema and "responses" in openapi_schema["components"]: + referenced_schemas.update(_find_schema_refs_in_object(openapi_schema["components"]["responses"])) + + # Also include schemas that are referenced by other schemas (transitive references) + # This ensures we include all dependencies + all_schemas = openapi_schema.get("components", {}).get("schemas", {}) + additional_schemas = set() + + for schema_name in referenced_schemas: + if schema_name in all_schemas: + additional_schemas.update(_find_schema_refs_in_object(all_schemas[schema_name])) + + # Keep adding transitive references until no new ones are found + while additional_schemas: + new_schemas = additional_schemas - referenced_schemas + if not new_schemas: + break + referenced_schemas.update(new_schemas) + additional_schemas = set() + for schema_name in new_schemas: + if schema_name in all_schemas: + additional_schemas.update(_find_schema_refs_in_object(all_schemas[schema_name])) + + return referenced_schemas + + +def _find_schema_refs_in_object(obj: Any) -> set[str]: + """ + Recursively find all schema references ($ref) in an object. + """ + refs = set() + + if isinstance(obj, dict): + for key, value in obj.items(): + if key == "$ref" and isinstance(value, str) and value.startswith("#/components/schemas/"): + schema_name = value.split("/")[-1] + refs.add(schema_name) + else: + refs.update(_find_schema_refs_in_object(value)) + elif isinstance(obj, list): + for item in obj: + refs.update(_find_schema_refs_in_object(item)) + + return refs + + +def _get_all_json_schema_type_names() -> set[str]: + """ + Get all schema names from @json_schema_type decorated models. + This ensures they are included in filtered schemas even if not directly referenced by paths. + """ + schema_names = set() + apis_modules = _import_all_modules_in_package("llama_stack.apis") + for module in apis_modules: + for attr_name in dir(module): + try: + attr = getattr(module, attr_name) + if ( + hasattr(attr, "_llama_stack_schema_type") + and hasattr(attr, "model_json_schema") + and hasattr(attr, "__name__") + ): + schema_names.add(attr.__name__) + except (AttributeError, TypeError): + continue + return schema_names + + +def _is_path_deprecated(path_item: dict[str, Any]) -> bool: + """Check if a path item has any deprecated operations.""" + if not isinstance(path_item, dict): + return False + for method in ["get", "post", "put", "delete", "patch", "head", "options"]: + if isinstance(path_item.get(method), dict) and path_item[method].get("deprecated", False): + return True + return False + + +def _path_starts_with_version(path: str, version: str) -> bool: + """Check if a path starts with a specific API version prefix.""" + return path.startswith(f"/{version}/") + + +def _is_stable_path(path: str) -> bool: + """Check if a path is a stable v1 path (not v1alpha or v1beta).""" + return ( + _path_starts_with_version(path, LLAMA_STACK_API_V1) + and not _path_starts_with_version(path, LLAMA_STACK_API_V1ALPHA) + and not _path_starts_with_version(path, LLAMA_STACK_API_V1BETA) + ) + + +def _is_experimental_path(path: str) -> bool: + """Check if a path is an experimental path (v1alpha or v1beta).""" + return _path_starts_with_version(path, LLAMA_STACK_API_V1ALPHA) or _path_starts_with_version( + path, LLAMA_STACK_API_V1BETA + ) + + +def _filter_deprecated_schema(openapi_schema: dict[str, Any]) -> dict[str, Any]: + """ + Filter OpenAPI schema to include only deprecated endpoints. + Includes all deprecated endpoints regardless of version (v1, v1alpha, v1beta). + """ + filtered_schema = openapi_schema.copy() + + if "paths" not in filtered_schema: + return filtered_schema + + # Filter paths to only include deprecated ones + filtered_paths = {} + for path, path_item in filtered_schema["paths"].items(): + if _is_path_deprecated(path_item): + filtered_paths[path] = path_item + + filtered_schema["paths"] = filtered_paths + + return filtered_schema + + +def _filter_combined_schema(openapi_schema: dict[str, Any]) -> dict[str, Any]: + """ + Filter OpenAPI schema to include both stable (v1) and experimental (v1alpha, v1beta) APIs. + Excludes deprecated endpoints. This is used for the combined "stainless" spec. + """ + filtered_schema = openapi_schema.copy() + + if "paths" not in filtered_schema: + return filtered_schema + + # Filter paths to include stable (v1) and experimental (v1alpha, v1beta), excluding deprecated + filtered_paths = {} + for path, path_item in filtered_schema["paths"].items(): + # Check if path has any deprecated operations + is_deprecated = _is_path_deprecated(path_item) + + # Skip deprecated endpoints + if is_deprecated: + continue + + # Include stable v1 paths + if _is_stable_path(path): + filtered_paths[path] = path_item + # Include experimental paths (v1alpha or v1beta) + elif _is_experimental_path(path): + filtered_paths[path] = path_item + + filtered_schema["paths"] = filtered_paths + + # Filter schemas/components to only include ones referenced by filtered paths + if "components" in filtered_schema and "schemas" in filtered_schema["components"]: + referenced_schemas = _find_schemas_referenced_by_paths(filtered_paths, openapi_schema) + + # Also include all registered schemas and @json_schema_type decorated models + # (they should always be included) and all schemas they reference (transitive references) + from llama_stack.schema_utils import _registered_schemas + + # Use the original schema to find registered schema definitions + all_schemas = openapi_schema.get("components", {}).get("schemas", {}) + registered_schema_names = set() + for registration_info in _registered_schemas.values(): + registered_schema_names.add(registration_info["name"]) + + # Also include all @json_schema_type decorated models + json_schema_type_names = _get_all_json_schema_type_names() + all_explicit_schema_names = registered_schema_names | json_schema_type_names + + # Find all schemas referenced by registered schemas and @json_schema_type models (transitive) + additional_schemas = set() + for schema_name in all_explicit_schema_names: + referenced_schemas.add(schema_name) + if schema_name in all_schemas: + additional_schemas.update(_find_schema_refs_in_object(all_schemas[schema_name])) + + # Keep adding transitive references until no new ones are found + while additional_schemas: + new_schemas = additional_schemas - referenced_schemas + if not new_schemas: + break + referenced_schemas.update(new_schemas) + additional_schemas = set() + for schema_name in new_schemas: + if schema_name in all_schemas: + additional_schemas.update(_find_schema_refs_in_object(all_schemas[schema_name])) + + filtered_schemas = {} + for schema_name, schema_def in filtered_schema["components"]["schemas"].items(): + if schema_name in referenced_schemas: + filtered_schemas[schema_name] = schema_def + + filtered_schema["components"]["schemas"] = filtered_schemas + + return filtered_schema + + +def generate_openapi_spec(output_dir: str) -> dict[str, Any]: + """ + Generate OpenAPI specification using FastAPI's built-in method. + + Args: + output_dir: Directory to save the generated files + + Returns: + The generated OpenAPI specification as a dictionary + """ + # Create the FastAPI app + app = create_llama_stack_app() + + # Generate the OpenAPI schema + openapi_schema = get_openapi( + title=app.title, + version=app.version, + description=app.description, + routes=app.routes, + servers=app.servers, + ) + + # Set OpenAPI version to 3.1.0 + openapi_schema["openapi"] = "3.1.0" + + # Add standard error responses + openapi_schema = _add_error_responses(openapi_schema) + + # Ensure all @json_schema_type decorated models are included + openapi_schema = _ensure_json_schema_types_included(openapi_schema) + + # Fix $ref references to point to components/schemas instead of $defs + openapi_schema = _fix_ref_references(openapi_schema) + + # Fix path parameter resolution issues + openapi_schema = _fix_path_parameters(openapi_schema) + + # Eliminate $defs section entirely for oasdiff compatibility + openapi_schema = _eliminate_defs_section(openapi_schema) + + # Clean descriptions in schema definitions by removing docstring metadata + openapi_schema = _clean_schema_descriptions(openapi_schema) + + # Remove query parameters from POST/PUT/PATCH endpoints that have a request body + # FastAPI sometimes infers parameters as query params even when they should be in the request body + openapi_schema = _remove_query_params_from_body_endpoints(openapi_schema) + + # Split into stable (v1 only), experimental (v1alpha + v1beta), deprecated, and combined (stainless) specs + # Each spec needs its own deep copy of the full schema to avoid cross-contamination + import copy + + stable_schema = _filter_schema_by_version(copy.deepcopy(openapi_schema), stable_only=True, exclude_deprecated=True) + experimental_schema = _filter_schema_by_version( + copy.deepcopy(openapi_schema), stable_only=False, exclude_deprecated=True + ) + deprecated_schema = _filter_deprecated_schema(copy.deepcopy(openapi_schema)) + combined_schema = _filter_combined_schema(copy.deepcopy(openapi_schema)) + + # Base description for all specs + base_description = ( + "This is the specification of the Llama Stack that provides\n" + " a set of endpoints and their corresponding interfaces that are\n" + " tailored to\n" + " best leverage Llama Models." + ) + + # Update info section for stable schema + if "info" not in stable_schema: + stable_schema["info"] = {} + stable_schema["info"]["title"] = "Llama Stack Specification" + stable_schema["info"]["version"] = "v1" + stable_schema["info"]["description"] = ( + base_description + "\n\n **✅ STABLE**: Production-ready APIs with backward compatibility guarantees." + ) + + # Update info section for experimental schema + if "info" not in experimental_schema: + experimental_schema["info"] = {} + experimental_schema["info"]["title"] = "Llama Stack Specification - Experimental APIs" + experimental_schema["info"]["version"] = "v1" + experimental_schema["info"]["description"] = ( + base_description + "\n\n **🧪 EXPERIMENTAL**: Pre-release APIs (v1alpha, v1beta) that may change before\n" + " becoming stable." + ) + + # Update info section for deprecated schema + if "info" not in deprecated_schema: + deprecated_schema["info"] = {} + deprecated_schema["info"]["title"] = "Llama Stack Specification - Deprecated APIs" + deprecated_schema["info"]["version"] = "v1" + deprecated_schema["info"]["description"] = ( + base_description + "\n\n **⚠️ DEPRECATED**: Legacy APIs that may be removed in future versions. Use for\n" + " migration reference only." + ) + + # Update info section for combined schema + if "info" not in combined_schema: + combined_schema["info"] = {} + combined_schema["info"]["title"] = "Llama Stack Specification - Stable & Experimental APIs" + combined_schema["info"]["version"] = "v1" + combined_schema["info"]["description"] = ( + base_description + "\n\n\n" + " **🔗 COMBINED**: This specification includes both stable production-ready APIs\n" + " and experimental pre-release APIs. Use stable APIs for production deployments\n" + " and experimental APIs for testing new features." + ) + + # Fix schema issues (like exclusiveMinimum -> minimum) for each spec + stable_schema = _fix_schema_issues(stable_schema) + experimental_schema = _fix_schema_issues(experimental_schema) + deprecated_schema = _fix_schema_issues(deprecated_schema) + combined_schema = _fix_schema_issues(combined_schema) + + # Validate the schemas + print("\n🔍 Validating generated schemas...") + stable_valid = validate_openapi_schema(stable_schema, "Stable schema") + experimental_valid = validate_openapi_schema(experimental_schema, "Experimental schema") + deprecated_valid = validate_openapi_schema(deprecated_schema, "Deprecated schema") + combined_valid = validate_openapi_schema(combined_schema, "Combined (stainless) schema") + + if not all([stable_valid, experimental_valid, deprecated_valid, combined_valid]): + print("⚠️ Some schemas failed validation, but continuing with generation...") + + # Ensure output directory exists + output_path = Path(output_dir) + output_path.mkdir(parents=True, exist_ok=True) + + # Save the stable specification + yaml_path = output_path / "llama-stack-spec.yaml" + _write_yaml_file(yaml_path, stable_schema) + # Post-process the YAML file to remove $defs section and fix references + with open(yaml_path) as f: + yaml_content = f.read() + + if " $defs:" in yaml_content or "#/$defs/" in yaml_content: + # Use string replacement to fix references directly + if "#/$defs/" in yaml_content: + yaml_content = yaml_content.replace("#/$defs/", "#/components/schemas/") + + # Parse the YAML content + yaml_data = yaml.safe_load(yaml_content) + + # Move $defs to components/schemas if it exists + if "$defs" in yaml_data: + if "components" not in yaml_data: + yaml_data["components"] = {} + if "schemas" not in yaml_data["components"]: + yaml_data["components"]["schemas"] = {} + + # Move all $defs to components/schemas + for def_name, def_schema in yaml_data["$defs"].items(): + yaml_data["components"]["schemas"][def_name] = def_schema + + # Remove the $defs section + del yaml_data["$defs"] + + # Write the modified YAML back + _write_yaml_file(yaml_path, yaml_data) + + print(f"✅ Generated YAML (stable): {yaml_path}") + + experimental_yaml_path = output_path / "experimental-llama-stack-spec.yaml" + _write_yaml_file(experimental_yaml_path, experimental_schema) + print(f"✅ Generated YAML (experimental): {experimental_yaml_path}") + + deprecated_yaml_path = output_path / "deprecated-llama-stack-spec.yaml" + _write_yaml_file(deprecated_yaml_path, deprecated_schema) + print(f"✅ Generated YAML (deprecated): {deprecated_yaml_path}") + + # Generate combined (stainless) spec + stainless_yaml_path = output_path / "stainless-llama-stack-spec.yaml" + _write_yaml_file(stainless_yaml_path, combined_schema) + print(f"✅ Generated YAML (stainless/combined): {stainless_yaml_path}") + + return stable_schema + + +def main(): + """Main entry point for the FastAPI OpenAPI generator.""" + import argparse + + parser = argparse.ArgumentParser(description="Generate OpenAPI specification using FastAPI") + parser.add_argument("output_dir", help="Output directory for generated files") + + args = parser.parse_args() + + print("🚀 Generating OpenAPI specification using FastAPI...") + print(f"📁 Output directory: {args.output_dir}") + + try: + openapi_schema = generate_openapi_spec(output_dir=args.output_dir) + + print("\n✅ OpenAPI specification generated successfully!") + print(f"📊 Schemas: {len(openapi_schema.get('components', {}).get('schemas', {}))}") + print(f"🛣️ Paths: {len(openapi_schema.get('paths', {}))}") + operation_count = sum( + 1 + for path_info in openapi_schema.get("paths", {}).values() + for method in ["get", "post", "put", "delete", "patch"] + if method in path_info + ) + print(f"🔧 Operations: {operation_count}") + + except Exception as e: + print(f"❌ Error generating OpenAPI specification: {e}") + raise + + +if __name__ == "__main__": + main() diff --git a/scripts/run_openapi_generator.sh b/scripts/run_openapi_generator.sh new file mode 100755 index 000000000..c6c61453d --- /dev/null +++ b/scripts/run_openapi_generator.sh @@ -0,0 +1,19 @@ +#!/usr/bin/env bash + +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the terms described in the LICENSE file in +# the root directory of this source tree. + +PYTHONPATH=${PYTHONPATH:-} +THIS_DIR="$(cd "$(dirname "$(readlink -f "${BASH_SOURCE[0]}")")" && pwd)" + +set -euo pipefail + + +stack_dir=$(dirname "$THIS_DIR") +PYTHONPATH=$PYTHONPATH:$stack_dir \ + python3 -m scripts.fastapi_generator "$stack_dir"/docs/static + +cp "$stack_dir"/docs/static/stainless-llama-stack-spec.yaml "$stack_dir"/client-sdks/stainless/openapi.yml diff --git a/scripts/validate_openapi.py b/scripts/validate_openapi.py new file mode 100755 index 000000000..ddc88f0f8 --- /dev/null +++ b/scripts/validate_openapi.py @@ -0,0 +1,290 @@ +#!/usr/bin/env python3 +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the terms described in the LICENSE file in +# the root directory of this source tree. + +""" +OpenAPI Schema Validator for Llama Stack. + +This script provides comprehensive validation of OpenAPI specifications +using multiple validation tools and approaches. +""" + +import argparse +import json +import sys +from pathlib import Path +from typing import Any + +import yaml +from openapi_spec_validator import validate_spec +from openapi_spec_validator.exceptions import OpenAPISpecValidatorError + + +def validate_openapi_schema(schema: dict[str, Any], schema_name: str = "OpenAPI schema") -> bool: + """ + Validate an OpenAPI schema using openapi-spec-validator. + + Args: + schema: The OpenAPI schema dictionary to validate + schema_name: Name of the schema for error reporting + + Returns: + True if valid, False otherwise + """ + try: + validate_spec(schema) + print(f"✅ {schema_name} is valid") + return True + except OpenAPISpecValidatorError as e: + print(f"❌ {schema_name} validation failed:") + print(f" {e}") + return False + except Exception as e: + print(f"❌ {schema_name} validation error: {e}") + return False + + +def validate_schema_file(file_path: Path) -> bool: + """ + Validate an OpenAPI schema file (YAML or JSON). + + Args: + file_path: Path to the schema file + + Returns: + True if valid, False otherwise + """ + try: + with open(file_path) as f: + if file_path.suffix.lower() in [".yaml", ".yml"]: + schema = yaml.safe_load(f) + elif file_path.suffix.lower() == ".json": + schema = json.load(f) + else: + print(f"❌ Unsupported file format: {file_path.suffix}") + return False + + return validate_openapi_schema(schema, str(file_path)) + except Exception as e: + print(f"❌ Failed to read {file_path}: {e}") + return False + + +def validate_directory(directory: Path, pattern: str = "*.yaml") -> bool: + """ + Validate all OpenAPI schema files in a directory. + + Args: + directory: Directory containing schema files + pattern: Glob pattern to match schema files + + Returns: + True if all files are valid, False otherwise + """ + if not directory.exists(): + print(f"❌ Directory not found: {directory}") + return False + + schema_files = list(directory.glob(pattern)) + list(directory.glob("*.yml")) + list(directory.glob("*.json")) + + if not schema_files: + print(f"❌ No schema files found in {directory}") + return False + + print(f"🔍 Found {len(schema_files)} schema files to validate") + + all_valid = True + for schema_file in schema_files: + print(f"\n📄 Validating {schema_file.name}...") + is_valid = validate_schema_file(schema_file) + if not is_valid: + all_valid = False + + return all_valid + + +def get_schema_stats(schema: dict[str, Any]) -> dict[str, int]: + """ + Get statistics about an OpenAPI schema. + + Args: + schema: The OpenAPI schema dictionary + + Returns: + Dictionary with schema statistics + """ + stats = { + "paths": len(schema.get("paths", {})), + "schemas": len(schema.get("components", {}).get("schemas", {})), + "operations": 0, + "parameters": 0, + "responses": 0, + } + + # Count operations + for path_info in schema.get("paths", {}).values(): + for method in ["get", "post", "put", "delete", "patch", "head", "options"]: + if method in path_info: + stats["operations"] += 1 + + operation = path_info[method] + if "parameters" in operation: + stats["parameters"] += len(operation["parameters"]) + if "responses" in operation: + stats["responses"] += len(operation["responses"]) + + return stats + + +def print_schema_stats(schema: dict[str, Any], schema_name: str = "Schema") -> None: + """ + Print statistics about an OpenAPI schema. + + Args: + schema: The OpenAPI schema dictionary + schema_name: Name of the schema for display + """ + stats = get_schema_stats(schema) + + print(f"\n📊 {schema_name} Statistics:") + print(f" 🛣️ Paths: {stats['paths']}") + print(f" 📋 Schemas: {stats['schemas']}") + print(f" 🔧 Operations: {stats['operations']}") + print(f" 📝 Parameters: {stats['parameters']}") + print(f" 📤 Responses: {stats['responses']}") + + +def main(): + """Main entry point for the OpenAPI validator.""" + parser = argparse.ArgumentParser( + description="Validate OpenAPI specifications", + formatter_class=argparse.RawDescriptionHelpFormatter, + epilog=""" +Examples: + # Validate a specific file + python validate_openapi.py docs/static/llama-stack-spec.yaml + + # Validate all YAML files in a directory + python validate_openapi.py docs/static/ + + # Validate with detailed statistics + python validate_openapi.py docs/static/llama-stack-spec.yaml --stats + + # Validate and show only errors + python validate_openapi.py docs/static/ --quiet + """, + ) + + parser.add_argument("path", help="Path to schema file or directory containing schema files") + parser.add_argument("--stats", action="store_true", help="Show detailed schema statistics") + parser.add_argument("--quiet", action="store_true", help="Only show errors, suppress success messages") + parser.add_argument("--pattern", default="*.yaml", help="Glob pattern for schema files (default: *.yaml)") + + args = parser.parse_args() + + path = Path(args.path) + + if not path.exists(): + print(f"❌ Path not found: {path}") + return 1 + + if path.is_file(): + # Validate a single file + if args.quiet: + # Override the validation function to be quiet + def quiet_validate(schema, name): + try: + validate_spec(schema) + return True + except Exception as e: + print(f"❌ {name}: {e}") + return False + + try: + with open(path) as f: + if path.suffix.lower() in [".yaml", ".yml"]: + schema = yaml.safe_load(f) + elif path.suffix.lower() == ".json": + schema = json.load(f) + else: + print(f"❌ Unsupported file format: {path.suffix}") + return 1 + + is_valid = quiet_validate(schema, str(path)) + if is_valid and args.stats: + print_schema_stats(schema, path.name) + return 0 if is_valid else 1 + except Exception as e: + print(f"❌ Failed to read {path}: {e}") + return 1 + else: + is_valid = validate_schema_file(path) + if is_valid and args.stats: + try: + with open(path) as f: + if path.suffix.lower() in [".yaml", ".yml"]: + schema = yaml.safe_load(f) + elif path.suffix.lower() == ".json": + schema = json.load(f) + else: + return 1 + print_schema_stats(schema, path.name) + except Exception: + pass + return 0 if is_valid else 1 + + elif path.is_dir(): + # Validate all files in directory + if args.quiet: + all_valid = True + schema_files = list(path.glob(args.pattern)) + list(path.glob("*.yml")) + list(path.glob("*.json")) + + for schema_file in schema_files: + try: + with open(schema_file) as f: + if schema_file.suffix.lower() in [".yaml", ".yml"]: + schema = yaml.safe_load(f) + elif schema_file.suffix.lower() == ".json": + schema = json.load(f) + else: + continue + + try: + validate_spec(schema) + except Exception as e: + print(f"❌ {schema_file.name}: {e}") + all_valid = False + except Exception as e: + print(f"❌ Failed to read {schema_file.name}: {e}") + all_valid = False + + return 0 if all_valid else 1 + else: + all_valid = validate_directory(path, args.pattern) + if all_valid and args.stats: + # Show stats for all files + schema_files = list(path.glob(args.pattern)) + list(path.glob("*.yml")) + list(path.glob("*.json")) + for schema_file in schema_files: + try: + with open(schema_file) as f: + if schema_file.suffix.lower() in [".yaml", ".yml"]: + schema = yaml.safe_load(f) + elif schema_file.suffix.lower() == ".json": + schema = json.load(f) + else: + continue + print_schema_stats(schema, schema_file.name) + except Exception: + continue + return 0 if all_valid else 1 + + else: + print(f"❌ Invalid path type: {path}") + return 1 + + +if __name__ == "__main__": + sys.exit(main()) diff --git a/src/llama_stack/core/library_client.py b/src/llama_stack/core/library_client.py index 2a224d915..5f95fcbdd 100644 --- a/src/llama_stack/core/library_client.py +++ b/src/llama_stack/core/library_client.py @@ -42,22 +42,16 @@ from termcolor import cprint from llama_stack.core.build import print_pip_install_help from llama_stack.core.configure import parse_and_maybe_upgrade_config from llama_stack.core.datatypes import BuildConfig, BuildProvider, DistributionSpec -from llama_stack.core.request_headers import ( - PROVIDER_DATA_VAR, - request_provider_data_context, -) +from llama_stack.core.request_headers import PROVIDER_DATA_VAR, request_provider_data_context from llama_stack.core.resolver import ProviderRegistry from llama_stack.core.server.routes import RouteImpls, find_matching_route, initialize_route_impls -from llama_stack.core.stack import ( - Stack, - get_stack_run_config_from_distro, - replace_env_vars, -) +from llama_stack.core.stack import Stack, get_stack_run_config_from_distro, replace_env_vars from llama_stack.core.telemetry import Telemetry from llama_stack.core.telemetry.tracing import CURRENT_TRACE_CONTEXT, end_trace, setup_logger, start_trace from llama_stack.core.utils.config import redact_sensitive_fields from llama_stack.core.utils.context import preserve_contexts_async_generator from llama_stack.core.utils.exec import in_notebook +from llama_stack.core.utils.type_inspection import is_unwrapped_body_param from llama_stack.log import get_logger, setup_logging logger = get_logger(name=__name__, category="core") diff --git a/src/llama_stack/core/utils/type_inspection.py b/src/llama_stack/core/utils/type_inspection.py new file mode 100644 index 000000000..31e7f2328 --- /dev/null +++ b/src/llama_stack/core/utils/type_inspection.py @@ -0,0 +1,45 @@ +# Copyright (c) Meta Platforms, Inc. and affiliates. +# All rights reserved. +# +# This source code is licensed under the terms described in the LICENSE file in +# the root directory of this source tree. + +""" +Utility functions for type inspection and parameter handling. +""" + +import inspect +import typing +from typing import Any, get_args, get_origin + +from pydantic import BaseModel +from pydantic.fields import FieldInfo + + +def is_unwrapped_body_param(param_type: Any) -> bool: + """ + Check if a parameter type represents an unwrapped body parameter. + An unwrapped body parameter is an Annotated type with Body(embed=False) + + This is used to determine whether request parameters should be flattened + in OpenAPI specs and client libraries (matching FastAPI's embed=False behavior). + + Args: + param_type: The parameter type annotation to check + + Returns: + True if the parameter should be treated as an unwrapped body parameter + """ + # Check if it's Annotated with Body(embed=False) + if get_origin(param_type) is typing.Annotated: + args = get_args(param_type) + base_type = args[0] + metadata = args[1:] + + # Look for Body annotation with embed=False + # Body() returns a FieldInfo object, so we check for that type and the embed attribute + for item in metadata: + if isinstance(item, FieldInfo) and hasattr(item, "embed") and not item.embed: + return inspect.isclass(base_type) and issubclass(base_type, BaseModel) + + return False diff --git a/src/llama_stack_api/inspect.py b/src/llama_stack_api/inspect.py index 8326e9e6b..b9e5a6843 100644 --- a/src/llama_stack_api/inspect.py +++ b/src/llama_stack_api/inspect.py @@ -54,6 +54,7 @@ class VersionInfo(BaseModel): version: str +@json_schema_type class ListRoutesResponse(BaseModel): """Response containing a list of all available API routes. diff --git a/src/llama_stack_api/openai_responses.py b/src/llama_stack_api/openai_responses.py index 70139a98a..1ae5eac8d 100644 --- a/src/llama_stack_api/openai_responses.py +++ b/src/llama_stack_api/openai_responses.py @@ -1314,6 +1314,7 @@ OpenAIResponseInput = Annotated[ register_schema(OpenAIResponseInput, name="OpenAIResponseInput") +@json_schema_type class ListOpenAIResponseInputItem(BaseModel): """List container for OpenAI response input items. diff --git a/src/llama_stack_api/schema_utils.py b/src/llama_stack_api/schema_utils.py index 8444d2a34..8760988d4 100644 --- a/src/llama_stack_api/schema_utils.py +++ b/src/llama_stack_api/schema_utils.py @@ -8,8 +8,6 @@ from collections.abc import Callable from dataclasses import dataclass from typing import Any, TypeVar -from .strong_typing.schema import json_schema_type, register_schema # noqa: F401 - class ExtraBodyField[T]: """ @@ -48,6 +46,47 @@ class ExtraBodyField[T]: self.description = description +def json_schema_type(cls): + """ + Decorator to mark a Pydantic model for top-level component registration. + + Models marked with this decorator will be registered as top-level components + in the OpenAPI schema, while unmarked models will be inlined. + + This provides control over schema registration to avoid unnecessary indirection + for simple one-off types while keeping complex reusable types as components. + """ + cls._llama_stack_schema_type = True + return cls + + +# Global registry for registered schemas +_registered_schemas = {} + + +def register_schema(schema_type, name: str | None = None): + """ + Register a schema type for top-level component registration. + + This replicates the behavior of strong_typing's register_schema function. + It's used for union types and other complex types that should appear as + top-level components in the OpenAPI schema. + + Args: + schema_type: The type to register (e.g., union types, Annotated types) + name: Optional name for the schema in the OpenAPI spec. If not provided, + uses the type's __name__ or a generated name. + """ + if name is None: + name = getattr(schema_type, "__name__", f"Anonymous_{id(schema_type)}") + + # Store the registration information in a global registry + # since union types don't allow setting attributes + _registered_schemas[schema_type] = {"name": name, "type": schema_type} + + return schema_type + + @dataclass class WebMethod: level: str | None = None diff --git a/src/llama_stack_api/strong_typing/__init__.py b/src/llama_stack_api/strong_typing/__init__.py deleted file mode 100644 index d832dcf6f..000000000 --- a/src/llama_stack_api/strong_typing/__init__.py +++ /dev/null @@ -1,19 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -""" -Type-safe data interchange for Python data classes. - -Provides auxiliary services for working with Python type annotations, converting typed data to and from JSON, -and generating a JSON schema for a complex type. -""" - -__version__ = "0.3.4" -__author__ = "Levente Hunyadi" -__copyright__ = "Copyright 2021-2024, Levente Hunyadi" -__license__ = "MIT" -__maintainer__ = "Levente Hunyadi" -__status__ = "Production" diff --git a/src/llama_stack_api/strong_typing/auxiliary.py b/src/llama_stack_api/strong_typing/auxiliary.py deleted file mode 100644 index eb067b38b..000000000 --- a/src/llama_stack_api/strong_typing/auxiliary.py +++ /dev/null @@ -1,229 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -""" -Type-safe data interchange for Python data classes. - -:see: https://github.com/hunyadi/strong_typing -""" - -import dataclasses -import sys -from collections.abc import Callable -from dataclasses import is_dataclass -from typing import TypeVar, overload - -if sys.version_info >= (3, 9): - from typing import Annotated as Annotated -else: - from typing import Annotated as Annotated - -if sys.version_info >= (3, 10): - from typing import TypeAlias as TypeAlias -else: - from typing import TypeAlias as TypeAlias - -if sys.version_info >= (3, 11): - from typing import dataclass_transform as dataclass_transform -else: - from typing import dataclass_transform as dataclass_transform - -T = TypeVar("T") - - -def _compact_dataclass_repr(obj: object) -> str: - """ - Compact data-class representation where positional arguments are used instead of keyword arguments. - - :param obj: A data-class object. - :returns: A string that matches the pattern `Class(arg1, arg2, ...)`. - """ - - if is_dataclass(obj): - arglist = ", ".join(repr(getattr(obj, field.name)) for field in dataclasses.fields(obj)) - return f"{obj.__class__.__name__}({arglist})" - else: - return obj.__class__.__name__ - - -class CompactDataClass: - "A data class whose repr() uses positional rather than keyword arguments." - - def __repr__(self) -> str: - return _compact_dataclass_repr(self) - - -@overload -def typeannotation(cls: type[T], /) -> type[T]: ... - - -@overload -def typeannotation(cls: None, *, eq: bool = True, order: bool = False) -> Callable[[type[T]], type[T]]: ... - - -@dataclass_transform(eq_default=True, order_default=False) -def typeannotation( - cls: type[T] | None = None, *, eq: bool = True, order: bool = False -) -> type[T] | Callable[[type[T]], type[T]]: - """ - Returns the same class as was passed in, with dunder methods added based on the fields defined in the class. - - :param cls: The data-class type to transform into a type annotation. - :param eq: Whether to generate functions to support equality comparison. - :param order: Whether to generate functions to support ordering. - :returns: A data-class type, or a wrapper for data-class types. - """ - - def wrap(cls: type[T]) -> type[T]: - # mypy fails to equate bound-y functions (first argument interpreted as - # the bound object) with class methods, hence the `ignore` directive. - cls.__repr__ = _compact_dataclass_repr # type: ignore[method-assign] - if not dataclasses.is_dataclass(cls): - cls = dataclasses.dataclass( # type: ignore[call-overload] - cls, - init=True, - repr=False, - eq=eq, - order=order, - unsafe_hash=False, - frozen=True, - ) - return cls - - # see if decorator is used as @typeannotation or @typeannotation() - if cls is None: - # called with parentheses - return wrap - else: - # called without parentheses - return wrap(cls) - - -@typeannotation -class Alias: - "Alternative name of a property, typically used in JSON serialization." - - name: str - - -@typeannotation -class Signed: - "Signedness of an integer type." - - is_signed: bool - - -@typeannotation -class Storage: - "Number of bytes the binary representation of an integer type takes, e.g. 4 bytes for an int32." - - bytes: int - - -@typeannotation -class IntegerRange: - "Minimum and maximum value of an integer. The range is inclusive." - - minimum: int - maximum: int - - -@typeannotation -class Precision: - "Precision of a floating-point value." - - significant_digits: int - decimal_digits: int = 0 - - @property - def integer_digits(self) -> int: - return self.significant_digits - self.decimal_digits - - -@typeannotation -class TimePrecision: - """ - Precision of a timestamp or time interval. - - :param decimal_digits: Number of fractional digits retained in the sub-seconds field for a timestamp. - """ - - decimal_digits: int = 0 - - -@typeannotation -class Length: - "Exact length of a string." - - value: int - - -@typeannotation -class MinLength: - "Minimum length of a string." - - value: int - - -@typeannotation -class MaxLength: - "Maximum length of a string." - - value: int - - -@typeannotation -class SpecialConversion: - "Indicates that the annotated type is subject to custom conversion rules." - - -int8: TypeAlias = Annotated[int, Signed(True), Storage(1), IntegerRange(-128, 127)] -int16: TypeAlias = Annotated[int, Signed(True), Storage(2), IntegerRange(-32768, 32767)] -int32: TypeAlias = Annotated[ - int, - Signed(True), - Storage(4), - IntegerRange(-2147483648, 2147483647), -] -int64: TypeAlias = Annotated[ - int, - Signed(True), - Storage(8), - IntegerRange(-9223372036854775808, 9223372036854775807), -] - -uint8: TypeAlias = Annotated[int, Signed(False), Storage(1), IntegerRange(0, 255)] -uint16: TypeAlias = Annotated[int, Signed(False), Storage(2), IntegerRange(0, 65535)] -uint32: TypeAlias = Annotated[ - int, - Signed(False), - Storage(4), - IntegerRange(0, 4294967295), -] -uint64: TypeAlias = Annotated[ - int, - Signed(False), - Storage(8), - IntegerRange(0, 18446744073709551615), -] - -float32: TypeAlias = Annotated[float, Storage(4)] -float64: TypeAlias = Annotated[float, Storage(8)] - -# maps globals of type Annotated[T, ...] defined in this module to their string names -_auxiliary_types: dict[object, str] = {} -module = sys.modules[__name__] -for var in dir(module): - typ = getattr(module, var) - if getattr(typ, "__metadata__", None) is not None: - # type is Annotated[T, ...] - _auxiliary_types[typ] = var - - -def get_auxiliary_format(data_type: object) -> str | None: - "Returns the JSON format string corresponding to an auxiliary type." - - return _auxiliary_types.get(data_type) diff --git a/src/llama_stack_api/strong_typing/classdef.py b/src/llama_stack_api/strong_typing/classdef.py deleted file mode 100644 index e54e3a9d6..000000000 --- a/src/llama_stack_api/strong_typing/classdef.py +++ /dev/null @@ -1,440 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -import copy -import dataclasses -import datetime -import decimal -import enum -import ipaddress -import math -import re -import sys -import types -import typing -import uuid -from dataclasses import dataclass -from typing import Any, Literal, TypeVar, Union - -from .auxiliary import ( - Alias, - Annotated, - MaxLength, - Precision, - float32, - float64, - int16, - int32, - int64, -) -from .core import JsonType, Schema -from .docstring import Docstring, DocstringParam -from .inspection import TypeLike -from .serialization import json_to_object, object_to_json - -T = TypeVar("T") - - -@dataclass -class JsonSchemaNode: - title: str | None - description: str | None - - -@dataclass -class JsonSchemaType(JsonSchemaNode): - type: str - format: str | None - - -@dataclass -class JsonSchemaBoolean(JsonSchemaType): - type: Literal["boolean"] - const: bool | None - default: bool | None - examples: list[bool] | None - - -@dataclass -class JsonSchemaInteger(JsonSchemaType): - type: Literal["integer"] - const: int | None - default: int | None - examples: list[int] | None - enum: list[int] | None - minimum: int | None - maximum: int | None - - -@dataclass -class JsonSchemaNumber(JsonSchemaType): - type: Literal["number"] - const: float | None - default: float | None - examples: list[float] | None - minimum: float | None - maximum: float | None - exclusiveMinimum: float | None - exclusiveMaximum: float | None - multipleOf: float | None - - -@dataclass -class JsonSchemaString(JsonSchemaType): - type: Literal["string"] - const: str | None - default: str | None - examples: list[str] | None - enum: list[str] | None - minLength: int | None - maxLength: int | None - - -@dataclass -class JsonSchemaArray(JsonSchemaType): - type: Literal["array"] - items: "JsonSchemaAny" - - -@dataclass -class JsonSchemaObject(JsonSchemaType): - type: Literal["object"] - properties: dict[str, "JsonSchemaAny"] | None - additionalProperties: bool | None - required: list[str] | None - - -@dataclass -class JsonSchemaRef(JsonSchemaNode): - ref: Annotated[str, Alias("$ref")] - - -@dataclass -class JsonSchemaAllOf(JsonSchemaNode): - allOf: list["JsonSchemaAny"] - - -@dataclass -class JsonSchemaAnyOf(JsonSchemaNode): - anyOf: list["JsonSchemaAny"] - - -@dataclass -class Discriminator: - propertyName: str - mapping: dict[str, str] - - -@dataclass -class JsonSchemaOneOf(JsonSchemaNode): - oneOf: list["JsonSchemaAny"] - discriminator: Discriminator | None - - -JsonSchemaAny = Union[ - JsonSchemaRef, - JsonSchemaBoolean, - JsonSchemaInteger, - JsonSchemaNumber, - JsonSchemaString, - JsonSchemaArray, - JsonSchemaObject, - JsonSchemaOneOf, -] - - -@dataclass -class JsonSchemaTopLevelObject(JsonSchemaObject): - schema: Annotated[str, Alias("$schema")] - definitions: dict[str, JsonSchemaAny] | None - - -def integer_range_to_type(min_value: float, max_value: float) -> type: - if min_value >= -(2**15) and max_value < 2**15: - return int16 - elif min_value >= -(2**31) and max_value < 2**31: - return int32 - else: - return int64 - - -def enum_safe_name(name: str) -> str: - name = re.sub(r"\W", "_", name) - is_dunder = name.startswith("__") - is_sunder = name.startswith("_") and name.endswith("_") - if is_dunder or is_sunder: # provide an alternative for dunder and sunder names - name = f"v{name}" - return name - - -def enum_values_to_type( - module: types.ModuleType, - name: str, - values: dict[str, Any], - title: str | None = None, - description: str | None = None, -) -> type[enum.Enum]: - enum_class: type[enum.Enum] = enum.Enum(name, values) # type: ignore - - # assign the newly created type to the same module where the defining class is - enum_class.__module__ = module.__name__ - enum_class.__doc__ = str(Docstring(short_description=title, long_description=description)) - setattr(module, name, enum_class) - - return enum.unique(enum_class) - - -def schema_to_type(schema: Schema, *, module: types.ModuleType, class_name: str) -> TypeLike: - """ - Creates a Python type from a JSON schema. - - :param schema: The JSON schema that the types would correspond to. - :param module: The module in which to create the new types. - :param class_name: The name assigned to the top-level class. - """ - - top_node = typing.cast(JsonSchemaTopLevelObject, json_to_object(JsonSchemaTopLevelObject, schema)) - if top_node.definitions is not None: - for type_name, type_node in top_node.definitions.items(): - type_def = node_to_typedef(module, type_name, type_node) - if type_def.default is not dataclasses.MISSING: - raise TypeError("disallowed: `default` for top-level type definitions") - - type_def.type.__module__ = module.__name__ - setattr(module, type_name, type_def.type) - - return node_to_typedef(module, class_name, top_node).type - - -@dataclass -class TypeDef: - type: TypeLike - default: Any = dataclasses.MISSING - - -def json_to_value(target_type: TypeLike, data: JsonType) -> Any: - if data is not None: - return json_to_object(target_type, data) - else: - return dataclasses.MISSING - - -def node_to_typedef(module: types.ModuleType, context: str, node: JsonSchemaNode) -> TypeDef: - if isinstance(node, JsonSchemaRef): - match_obj = re.match(r"^#/definitions/(\w+)$", node.ref) - if not match_obj: - raise ValueError(f"invalid reference: {node.ref}") - - type_name = match_obj.group(1) - return TypeDef(getattr(module, type_name), dataclasses.MISSING) - - elif isinstance(node, JsonSchemaBoolean): - if node.const is not None: - return TypeDef(Literal[node.const], dataclasses.MISSING) - - default = json_to_value(bool, node.default) - return TypeDef(bool, default) - - elif isinstance(node, JsonSchemaInteger): - if node.const is not None: - return TypeDef(Literal[node.const], dataclasses.MISSING) - - integer_type: TypeLike - if node.format == "int16": - integer_type = int16 - elif node.format == "int32": - integer_type = int32 - elif node.format == "int64": - integer_type = int64 - else: - if node.enum is not None: - integer_type = integer_range_to_type(min(node.enum), max(node.enum)) - elif node.minimum is not None and node.maximum is not None: - integer_type = integer_range_to_type(node.minimum, node.maximum) - else: - integer_type = int - - default = json_to_value(integer_type, node.default) - return TypeDef(integer_type, default) - - elif isinstance(node, JsonSchemaNumber): - if node.const is not None: - return TypeDef(Literal[node.const], dataclasses.MISSING) - - number_type: TypeLike - if node.format == "float32": - number_type = float32 - elif node.format == "float64": - number_type = float64 - else: - if ( - node.exclusiveMinimum is not None - and node.exclusiveMaximum is not None - and node.exclusiveMinimum == -node.exclusiveMaximum - ): - integer_digits = round(math.log10(node.exclusiveMaximum)) - else: - integer_digits = None - - if node.multipleOf is not None: - decimal_digits = -round(math.log10(node.multipleOf)) - else: - decimal_digits = None - - if integer_digits is not None and decimal_digits is not None: - number_type = Annotated[ - decimal.Decimal, - Precision(integer_digits + decimal_digits, decimal_digits), - ] - else: - number_type = float - - default = json_to_value(number_type, node.default) - return TypeDef(number_type, default) - - elif isinstance(node, JsonSchemaString): - if node.const is not None: - return TypeDef(Literal[node.const], dataclasses.MISSING) - - string_type: TypeLike - if node.format == "date-time": - string_type = datetime.datetime - elif node.format == "uuid": - string_type = uuid.UUID - elif node.format == "ipv4": - string_type = ipaddress.IPv4Address - elif node.format == "ipv6": - string_type = ipaddress.IPv6Address - - elif node.enum is not None: - string_type = enum_values_to_type( - module, - context, - {enum_safe_name(e): e for e in node.enum}, - title=node.title, - description=node.description, - ) - - elif node.maxLength is not None: - string_type = Annotated[str, MaxLength(node.maxLength)] - else: - string_type = str - - default = json_to_value(string_type, node.default) - return TypeDef(string_type, default) - - elif isinstance(node, JsonSchemaArray): - type_def = node_to_typedef(module, context, node.items) - if type_def.default is not dataclasses.MISSING: - raise TypeError("disallowed: `default` for array element type") - list_type = list[(type_def.type,)] # type: ignore - return TypeDef(list_type, dataclasses.MISSING) - - elif isinstance(node, JsonSchemaObject): - if node.properties is None: - return TypeDef(JsonType, dataclasses.MISSING) - - if node.additionalProperties is None or node.additionalProperties is not False: - raise TypeError("expected: `additionalProperties` equals `false`") - - required = node.required if node.required is not None else [] - - class_name = context - - fields: list[tuple[str, Any, dataclasses.Field]] = [] - params: dict[str, DocstringParam] = {} - for prop_name, prop_node in node.properties.items(): - type_def = node_to_typedef(module, f"{class_name}__{prop_name}", prop_node) - if prop_name in required: - prop_type = type_def.type - else: - prop_type = Union[(None, type_def.type)] - fields.append((prop_name, prop_type, dataclasses.field(default=type_def.default))) - prop_desc = prop_node.title or prop_node.description - if prop_desc is not None: - params[prop_name] = DocstringParam(prop_name, prop_desc) - - fields.sort(key=lambda t: t[2].default is not dataclasses.MISSING) - if sys.version_info >= (3, 12): - class_type = dataclasses.make_dataclass(class_name, fields, module=module.__name__) - else: - class_type = dataclasses.make_dataclass(class_name, fields, namespace={"__module__": module.__name__}) - class_type.__doc__ = str( - Docstring( - short_description=node.title, - long_description=node.description, - params=params, - ) - ) - setattr(module, class_name, class_type) - return TypeDef(class_type, dataclasses.MISSING) - - elif isinstance(node, JsonSchemaOneOf): - union_defs = tuple(node_to_typedef(module, context, n) for n in node.oneOf) - if any(d.default is not dataclasses.MISSING for d in union_defs): - raise TypeError("disallowed: `default` for union member type") - union_types = tuple(d.type for d in union_defs) - return TypeDef(Union[union_types], dataclasses.MISSING) - - raise NotImplementedError() - - -@dataclass -class SchemaFlatteningOptions: - qualified_names: bool = False - recursive: bool = False - - -def flatten_schema(schema: Schema, *, options: SchemaFlatteningOptions | None = None) -> Schema: - top_node = typing.cast(JsonSchemaTopLevelObject, json_to_object(JsonSchemaTopLevelObject, schema)) - flattener = SchemaFlattener(options) - obj = flattener.flatten(top_node) - return typing.cast(Schema, object_to_json(obj)) - - -class SchemaFlattener: - options: SchemaFlatteningOptions - - def __init__(self, options: SchemaFlatteningOptions | None = None) -> None: - self.options = options or SchemaFlatteningOptions() - - def flatten(self, source_node: JsonSchemaObject) -> JsonSchemaObject: - if source_node.type != "object": - return source_node - - source_props = source_node.properties or {} - target_props: dict[str, JsonSchemaAny] = {} - - source_reqs = source_node.required or [] - target_reqs: list[str] = [] - - for name, prop in source_props.items(): - if not isinstance(prop, JsonSchemaObject): - target_props[name] = prop - if name in source_reqs: - target_reqs.append(name) - continue - - if self.options.recursive: - obj = self.flatten(prop) - else: - obj = prop - if obj.properties is not None: - if self.options.qualified_names: - target_props.update((f"{name}.{n}", p) for n, p in obj.properties.items()) - else: - target_props.update(obj.properties.items()) - if obj.required is not None: - if self.options.qualified_names: - target_reqs.extend(f"{name}.{n}" for n in obj.required) - else: - target_reqs.extend(obj.required) - - target_node = copy.copy(source_node) - target_node.properties = target_props or None - target_node.additionalProperties = False - target_node.required = target_reqs or None - return target_node diff --git a/src/llama_stack_api/strong_typing/core.py b/src/llama_stack_api/strong_typing/core.py deleted file mode 100644 index 5f3764aeb..000000000 --- a/src/llama_stack_api/strong_typing/core.py +++ /dev/null @@ -1,46 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -""" -Type-safe data interchange for Python data classes. - -:see: https://github.com/hunyadi/strong_typing -""" - -from typing import Union - - -class JsonObject: - "Placeholder type for an unrestricted JSON object." - - -class JsonArray: - "Placeholder type for an unrestricted JSON array." - - -# a JSON type with possible `null` values -JsonType = Union[ - None, - bool, - int, - float, - str, - dict[str, "JsonType"], - list["JsonType"], -] - -# a JSON type that cannot contain `null` values -StrictJsonType = Union[ - bool, - int, - float, - str, - dict[str, "StrictJsonType"], - list["StrictJsonType"], -] - -# a meta-type that captures the object type in a JSON schema -Schema = dict[str, JsonType] diff --git a/src/llama_stack_api/strong_typing/deserializer.py b/src/llama_stack_api/strong_typing/deserializer.py deleted file mode 100644 index 58dfe53a4..000000000 --- a/src/llama_stack_api/strong_typing/deserializer.py +++ /dev/null @@ -1,872 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -""" -Type-safe data interchange for Python data classes. - -:see: https://github.com/hunyadi/strong_typing -""" - -import abc -import base64 -import dataclasses -import datetime -import enum -import inspect -import ipaddress -import sys -import typing -import uuid -from collections.abc import Callable -from types import ModuleType -from typing import ( - Any, - Generic, - Literal, - NamedTuple, - Optional, - TypeVar, - Union, -) - -from .core import JsonType -from .exception import JsonKeyError, JsonTypeError, JsonValueError -from .inspection import ( - TypeLike, - create_object, - enum_value_types, - evaluate_type, - get_class_properties, - get_class_property, - get_resolved_hints, - is_dataclass_instance, - is_dataclass_type, - is_named_tuple_type, - is_type_annotated, - is_type_literal, - is_type_optional, - unwrap_annotated_type, - unwrap_literal_values, - unwrap_optional_type, -) -from .mapping import python_field_to_json_property -from .name import python_type_to_str - -E = TypeVar("E", bound=enum.Enum) -T = TypeVar("T") -R = TypeVar("R") -K = TypeVar("K") -V = TypeVar("V") - - -class Deserializer(abc.ABC, Generic[T]): - "Parses a JSON value into a Python type." - - def build(self, context: ModuleType | None) -> None: - """ - Creates auxiliary parsers that this parser is depending on. - - :param context: A module context for evaluating types specified as a string. - """ - - @abc.abstractmethod - def parse(self, data: JsonType) -> T: - """ - Parses a JSON value into a Python type. - - :param data: The JSON value to de-serialize. - :returns: The Python object that the JSON value de-serializes to. - """ - - -class NoneDeserializer(Deserializer[None]): - "Parses JSON `null` values into Python `None`." - - def parse(self, data: JsonType) -> None: - if data is not None: - raise JsonTypeError(f"`None` type expects JSON `null` but instead received: {data}") - return None - - -class BoolDeserializer(Deserializer[bool]): - "Parses JSON `boolean` values into Python `bool` type." - - def parse(self, data: JsonType) -> bool: - if not isinstance(data, bool): - raise JsonTypeError(f"`bool` type expects JSON `boolean` data but instead received: {data}") - return bool(data) - - -class IntDeserializer(Deserializer[int]): - "Parses JSON `number` values into Python `int` type." - - def parse(self, data: JsonType) -> int: - if not isinstance(data, int): - raise JsonTypeError(f"`int` type expects integer data as JSON `number` but instead received: {data}") - return int(data) - - -class FloatDeserializer(Deserializer[float]): - "Parses JSON `number` values into Python `float` type." - - def parse(self, data: JsonType) -> float: - if not isinstance(data, float) and not isinstance(data, int): - raise JsonTypeError(f"`int` type expects data as JSON `number` but instead received: {data}") - return float(data) - - -class StringDeserializer(Deserializer[str]): - "Parses JSON `string` values into Python `str` type." - - def parse(self, data: JsonType) -> str: - if not isinstance(data, str): - raise JsonTypeError(f"`str` type expects JSON `string` data but instead received: {data}") - return str(data) - - -class BytesDeserializer(Deserializer[bytes]): - "Parses JSON `string` values of Base64-encoded strings into Python `bytes` type." - - def parse(self, data: JsonType) -> bytes: - if not isinstance(data, str): - raise JsonTypeError(f"`bytes` type expects JSON `string` data but instead received: {data}") - return base64.b64decode(data, validate=True) - - -class DateTimeDeserializer(Deserializer[datetime.datetime]): - "Parses JSON `string` values representing timestamps in ISO 8601 format to Python `datetime` with time zone." - - def parse(self, data: JsonType) -> datetime.datetime: - if not isinstance(data, str): - raise JsonTypeError(f"`datetime` type expects JSON `string` data but instead received: {data}") - - if data.endswith("Z"): - data = f"{data[:-1]}+00:00" # Python's isoformat() does not support military time zones like "Zulu" for UTC - timestamp = datetime.datetime.fromisoformat(data) - if timestamp.tzinfo is None: - raise JsonValueError(f"timestamp lacks explicit time zone designator: {data}") - return timestamp - - -class DateDeserializer(Deserializer[datetime.date]): - "Parses JSON `string` values representing dates in ISO 8601 format to Python `date` type." - - def parse(self, data: JsonType) -> datetime.date: - if not isinstance(data, str): - raise JsonTypeError(f"`date` type expects JSON `string` data but instead received: {data}") - - return datetime.date.fromisoformat(data) - - -class TimeDeserializer(Deserializer[datetime.time]): - "Parses JSON `string` values representing time instances in ISO 8601 format to Python `time` type with time zone." - - def parse(self, data: JsonType) -> datetime.time: - if not isinstance(data, str): - raise JsonTypeError(f"`time` type expects JSON `string` data but instead received: {data}") - - return datetime.time.fromisoformat(data) - - -class UUIDDeserializer(Deserializer[uuid.UUID]): - "Parses JSON `string` values of UUID strings into Python `uuid.UUID` type." - - def parse(self, data: JsonType) -> uuid.UUID: - if not isinstance(data, str): - raise JsonTypeError(f"`UUID` type expects JSON `string` data but instead received: {data}") - return uuid.UUID(data) - - -class IPv4Deserializer(Deserializer[ipaddress.IPv4Address]): - "Parses JSON `string` values of IPv4 address strings into Python `ipaddress.IPv4Address` type." - - def parse(self, data: JsonType) -> ipaddress.IPv4Address: - if not isinstance(data, str): - raise JsonTypeError(f"`IPv4Address` type expects JSON `string` data but instead received: {data}") - return ipaddress.IPv4Address(data) - - -class IPv6Deserializer(Deserializer[ipaddress.IPv6Address]): - "Parses JSON `string` values of IPv6 address strings into Python `ipaddress.IPv6Address` type." - - def parse(self, data: JsonType) -> ipaddress.IPv6Address: - if not isinstance(data, str): - raise JsonTypeError(f"`IPv6Address` type expects JSON `string` data but instead received: {data}") - return ipaddress.IPv6Address(data) - - -class ListDeserializer(Deserializer[list[T]]): - "Recursively de-serializes a JSON array into a Python `list`." - - item_type: type[T] - item_parser: Deserializer - - def __init__(self, item_type: type[T]) -> None: - self.item_type = item_type - - def build(self, context: ModuleType | None) -> None: - self.item_parser = _get_deserializer(self.item_type, context) - - def parse(self, data: JsonType) -> list[T]: - if not isinstance(data, list): - type_name = python_type_to_str(self.item_type) - raise JsonTypeError(f"type `List[{type_name}]` expects JSON `array` data but instead received: {data}") - - return [self.item_parser.parse(item) for item in data] - - -class DictDeserializer(Deserializer[dict[K, V]]): - "Recursively de-serializes a JSON object into a Python `dict`." - - key_type: type[K] - value_type: type[V] - value_parser: Deserializer[V] - - def __init__(self, key_type: type[K], value_type: type[V]) -> None: - self.key_type = key_type - self.value_type = value_type - self._check_key_type() - - def build(self, context: ModuleType | None) -> None: - self.value_parser = _get_deserializer(self.value_type, context) - - def _check_key_type(self) -> None: - if self.key_type is str: - return - - if issubclass(self.key_type, enum.Enum): - value_types = enum_value_types(self.key_type) - if len(value_types) != 1: - raise JsonTypeError( - f"type `{self.container_type}` has invalid key type, " - f"enumerations must have a consistent member value type but several types found: {value_types}" - ) - value_type = value_types.pop() - if value_type is not str: - f"`type `{self.container_type}` has invalid enumeration key type, expected `enum.Enum` with string values" - return - - raise JsonTypeError( - f"`type `{self.container_type}` has invalid key type, expected `str` or `enum.Enum` with string values" - ) - - @property - def container_type(self) -> str: - key_type_name = python_type_to_str(self.key_type) - value_type_name = python_type_to_str(self.value_type) - return f"Dict[{key_type_name}, {value_type_name}]" - - def parse(self, data: JsonType) -> dict[K, V]: - if not isinstance(data, dict): - raise JsonTypeError( - f"`type `{self.container_type}` expects JSON `object` data but instead received: {data}" - ) - - return dict( - (self.key_type(key), self.value_parser.parse(value)) # type: ignore[call-arg] - for key, value in data.items() - ) - - -class SetDeserializer(Deserializer[set[T]]): - "Recursively de-serializes a JSON list into a Python `set`." - - member_type: type[T] - member_parser: Deserializer - - def __init__(self, member_type: type[T]) -> None: - self.member_type = member_type - - def build(self, context: ModuleType | None) -> None: - self.member_parser = _get_deserializer(self.member_type, context) - - def parse(self, data: JsonType) -> set[T]: - if not isinstance(data, list): - type_name = python_type_to_str(self.member_type) - raise JsonTypeError(f"type `Set[{type_name}]` expects JSON `array` data but instead received: {data}") - - return set(self.member_parser.parse(item) for item in data) - - -class TupleDeserializer(Deserializer[tuple[Any, ...]]): - "Recursively de-serializes a JSON list into a Python `tuple`." - - item_types: tuple[type[Any], ...] - item_parsers: tuple[Deserializer[Any], ...] - - def __init__(self, item_types: tuple[type[Any], ...]) -> None: - self.item_types = item_types - - def build(self, context: ModuleType | None) -> None: - self.item_parsers = tuple(_get_deserializer(item_type, context) for item_type in self.item_types) - - @property - def container_type(self) -> str: - type_names = ", ".join(python_type_to_str(item_type) for item_type in self.item_types) - return f"Tuple[{type_names}]" - - def parse(self, data: JsonType) -> tuple[Any, ...]: - if not isinstance(data, list) or len(data) != len(self.item_parsers): - if not isinstance(data, list): - raise JsonTypeError( - f"type `{self.container_type}` expects JSON `array` data but instead received: {data}" - ) - else: - count = len(self.item_parsers) - raise JsonValueError( - f"type `{self.container_type}` expects a JSON `array` of length {count} but received length {len(data)}" - ) - - return tuple(item_parser.parse(item) for item_parser, item in zip(self.item_parsers, data, strict=False)) - - -class UnionDeserializer(Deserializer): - "De-serializes a JSON value (of any type) into a Python union type." - - member_types: tuple[type, ...] - member_parsers: tuple[Deserializer, ...] - - def __init__(self, member_types: tuple[type, ...]) -> None: - self.member_types = member_types - - def build(self, context: ModuleType | None) -> None: - self.member_parsers = tuple(_get_deserializer(member_type, context) for member_type in self.member_types) - - def parse(self, data: JsonType) -> Any: - for member_parser in self.member_parsers: - # iterate over potential types of discriminated union - try: - return member_parser.parse(data) - except (JsonKeyError, JsonTypeError): - # indicates a required field is missing from JSON dict -OR- the data cannot be cast to the expected type, - # i.e. we don't have the type that we are looking for - continue - - type_names = ", ".join(python_type_to_str(member_type) for member_type in self.member_types) - raise JsonKeyError(f"type `Union[{type_names}]` could not be instantiated from: {data}") - - -def get_literal_properties(typ: type) -> set[str]: - "Returns the names of all properties in a class that are of a literal type." - - return set( - property_name for property_name, property_type in get_class_properties(typ) if is_type_literal(property_type) - ) - - -def get_discriminating_properties(types: tuple[type, ...]) -> set[str]: - "Returns a set of properties with literal type that are common across all specified classes." - - if not types or not all(isinstance(typ, type) for typ in types): - return set() - - props = get_literal_properties(types[0]) - for typ in types[1:]: - props = props & get_literal_properties(typ) - - return props - - -class TaggedUnionDeserializer(Deserializer): - "De-serializes a JSON value with one or more disambiguating properties into a Python union type." - - member_types: tuple[type, ...] - disambiguating_properties: set[str] - member_parsers: dict[tuple[str, Any], Deserializer] - - def __init__(self, member_types: tuple[type, ...]) -> None: - self.member_types = member_types - self.disambiguating_properties = get_discriminating_properties(member_types) - - def build(self, context: ModuleType | None) -> None: - self.member_parsers = {} - for member_type in self.member_types: - for property_name in self.disambiguating_properties: - literal_type = get_class_property(member_type, property_name) - if not literal_type: - continue - - for literal_value in unwrap_literal_values(literal_type): - tpl = (property_name, literal_value) - if tpl in self.member_parsers: - raise JsonTypeError( - f"disambiguating property `{property_name}` in type `{self.union_type}` has a duplicate value: {literal_value}" - ) - - self.member_parsers[tpl] = _get_deserializer(member_type, context) - - @property - def union_type(self) -> str: - type_names = ", ".join(python_type_to_str(member_type) for member_type in self.member_types) - return f"Union[{type_names}]" - - def parse(self, data: JsonType) -> Any: - if not isinstance(data, dict): - raise JsonTypeError( - f"tagged union type `{self.union_type}` expects JSON `object` data but instead received: {data}" - ) - - for property_name in self.disambiguating_properties: - disambiguating_value = data.get(property_name) - if disambiguating_value is None: - continue - - member_parser = self.member_parsers.get((property_name, disambiguating_value)) - if member_parser is None: - raise JsonTypeError( - f"disambiguating property value is invalid for tagged union type `{self.union_type}`: {data}" - ) - - return member_parser.parse(data) - - raise JsonTypeError( - f"disambiguating property value is missing for tagged union type `{self.union_type}`: {data}" - ) - - -class LiteralDeserializer(Deserializer): - "De-serializes a JSON value into a Python literal type." - - values: tuple[Any, ...] - parser: Deserializer - - def __init__(self, values: tuple[Any, ...]) -> None: - self.values = values - - def build(self, context: ModuleType | None) -> None: - literal_type_tuple = tuple(type(value) for value in self.values) - literal_type_set = set(literal_type_tuple) - if len(literal_type_set) != 1: - value_names = ", ".join(repr(value) for value in self.values) - raise TypeError( - f"type `Literal[{value_names}]` expects consistent literal value types but got: {literal_type_tuple}" - ) - - literal_type = literal_type_set.pop() - self.parser = _get_deserializer(literal_type, context) - - def parse(self, data: JsonType) -> Any: - value = self.parser.parse(data) - if value not in self.values: - value_names = ", ".join(repr(value) for value in self.values) - raise JsonTypeError(f"type `Literal[{value_names}]` could not be instantiated from: {data}") - return value - - -class EnumDeserializer(Deserializer[E]): - "Returns an enumeration instance based on the enumeration value read from a JSON value." - - enum_type: type[E] - - def __init__(self, enum_type: type[E]) -> None: - self.enum_type = enum_type - - def parse(self, data: JsonType) -> E: - return self.enum_type(data) - - -class CustomDeserializer(Deserializer[T]): - "Uses the `from_json` class method in class to de-serialize the object from JSON." - - converter: Callable[[JsonType], T] - - def __init__(self, converter: Callable[[JsonType], T]) -> None: - self.converter = converter - - def parse(self, data: JsonType) -> T: - return self.converter(data) - - -class FieldDeserializer(abc.ABC, Generic[T, R]): - """ - Deserializes a JSON property into a Python object field. - - :param property_name: The name of the JSON property to read from a JSON `object`. - :param field_name: The name of the field in a Python class to write data to. - :param parser: A compatible deserializer that can handle the field's type. - """ - - property_name: str - field_name: str - parser: Deserializer[T] - - def __init__(self, property_name: str, field_name: str, parser: Deserializer[T]) -> None: - self.property_name = property_name - self.field_name = field_name - self.parser = parser - - @abc.abstractmethod - def parse_field(self, data: dict[str, JsonType]) -> R: ... - - -class RequiredFieldDeserializer(FieldDeserializer[T, T]): - "Deserializes a JSON property into a mandatory Python object field." - - def parse_field(self, data: dict[str, JsonType]) -> T: - if self.property_name not in data: - raise JsonKeyError(f"missing required property `{self.property_name}` from JSON object: {data}") - - return self.parser.parse(data[self.property_name]) - - -class OptionalFieldDeserializer(FieldDeserializer[T, Optional[T]]): - "Deserializes a JSON property into an optional Python object field with a default value of `None`." - - def parse_field(self, data: dict[str, JsonType]) -> T | None: - value = data.get(self.property_name) - if value is not None: - return self.parser.parse(value) - else: - return None - - -class DefaultFieldDeserializer(FieldDeserializer[T, T]): - "Deserializes a JSON property into a Python object field with an explicit default value." - - default_value: T - - def __init__( - self, - property_name: str, - field_name: str, - parser: Deserializer, - default_value: T, - ) -> None: - super().__init__(property_name, field_name, parser) - self.default_value = default_value - - def parse_field(self, data: dict[str, JsonType]) -> T: - value = data.get(self.property_name) - if value is not None: - return self.parser.parse(value) - else: - return self.default_value - - -class DefaultFactoryFieldDeserializer(FieldDeserializer[T, T]): - "Deserializes a JSON property into an optional Python object field with an explicit default value factory." - - default_factory: Callable[[], T] - - def __init__( - self, - property_name: str, - field_name: str, - parser: Deserializer[T], - default_factory: Callable[[], T], - ) -> None: - super().__init__(property_name, field_name, parser) - self.default_factory = default_factory - - def parse_field(self, data: dict[str, JsonType]) -> T: - value = data.get(self.property_name) - if value is not None: - return self.parser.parse(value) - else: - return self.default_factory() - - -class ClassDeserializer(Deserializer[T]): - "Base class for de-serializing class-like types such as data classes, named tuples and regular classes." - - class_type: type - property_parsers: list[FieldDeserializer] - property_fields: set[str] - - def __init__(self, class_type: type[T]) -> None: - self.class_type = class_type - - def assign(self, property_parsers: list[FieldDeserializer]) -> None: - self.property_parsers = property_parsers - self.property_fields = set(property_parser.property_name for property_parser in property_parsers) - - def parse(self, data: JsonType) -> T: - if not isinstance(data, dict): - type_name = python_type_to_str(self.class_type) - raise JsonTypeError(f"`type `{type_name}` expects JSON `object` data but instead received: {data}") - - object_data: dict[str, JsonType] = typing.cast(dict[str, JsonType], data) - - field_values = {} - for property_parser in self.property_parsers: - field_values[property_parser.field_name] = property_parser.parse_field(object_data) - - if not self.property_fields.issuperset(object_data): - unassigned_names = [name for name in object_data if name not in self.property_fields] - raise JsonKeyError(f"unrecognized fields in JSON object: {unassigned_names}") - - return self.create(**field_values) - - def create(self, **field_values: Any) -> T: - "Instantiates an object with a collection of property values." - - obj: T = create_object(self.class_type) - - # use `setattr` on newly created object instance - for field_name, field_value in field_values.items(): - setattr(obj, field_name, field_value) - return obj - - -class NamedTupleDeserializer(ClassDeserializer[NamedTuple]): - "De-serializes a named tuple from a JSON `object`." - - def build(self, context: ModuleType | None) -> None: - property_parsers: list[FieldDeserializer] = [ - RequiredFieldDeserializer(field_name, field_name, _get_deserializer(field_type, context)) - for field_name, field_type in get_resolved_hints(self.class_type).items() - ] - super().assign(property_parsers) - - def create(self, **field_values: Any) -> NamedTuple: - # mypy fails to deduce that this class returns NamedTuples only, hence the `ignore` directive - return self.class_type(**field_values) # type: ignore[no-any-return] - - -class DataclassDeserializer(ClassDeserializer[T]): - "De-serializes a data class from a JSON `object`." - - def __init__(self, class_type: type[T]) -> None: - if not dataclasses.is_dataclass(class_type): - raise TypeError("expected: data-class type") - super().__init__(class_type) # type: ignore[arg-type] - - def build(self, context: ModuleType | None) -> None: - property_parsers: list[FieldDeserializer] = [] - resolved_hints = get_resolved_hints(self.class_type) - for field in dataclasses.fields(self.class_type): - field_type = resolved_hints[field.name] - property_name = python_field_to_json_property(field.name, field_type) - - is_optional = is_type_optional(field_type) - has_default = field.default is not dataclasses.MISSING - has_default_factory = field.default_factory is not dataclasses.MISSING - - if is_optional: - required_type: type[T] = unwrap_optional_type(field_type) - else: - required_type = field_type - - parser = _get_deserializer(required_type, context) - - if has_default: - field_parser: FieldDeserializer = DefaultFieldDeserializer( - property_name, field.name, parser, field.default - ) - elif has_default_factory: - default_factory = typing.cast(Callable[[], Any], field.default_factory) - field_parser = DefaultFactoryFieldDeserializer(property_name, field.name, parser, default_factory) - elif is_optional: - field_parser = OptionalFieldDeserializer(property_name, field.name, parser) - else: - field_parser = RequiredFieldDeserializer(property_name, field.name, parser) - - property_parsers.append(field_parser) - - super().assign(property_parsers) - - -class FrozenDataclassDeserializer(DataclassDeserializer[T]): - "De-serializes a frozen data class from a JSON `object`." - - def create(self, **field_values: Any) -> T: - "Instantiates an object with a collection of property values." - - # create object instance without calling `__init__` - obj: T = create_object(self.class_type) - - # can't use `setattr` on frozen dataclasses, pass member variable values to `__init__` - obj.__init__(**field_values) # type: ignore - return obj - - -class TypedClassDeserializer(ClassDeserializer[T]): - "De-serializes a class with type annotations from a JSON `object` by iterating over class properties." - - def build(self, context: ModuleType | None) -> None: - property_parsers: list[FieldDeserializer] = [] - for field_name, field_type in get_resolved_hints(self.class_type).items(): - property_name = python_field_to_json_property(field_name, field_type) - - is_optional = is_type_optional(field_type) - - if is_optional: - required_type: type[T] = unwrap_optional_type(field_type) - else: - required_type = field_type - - parser = _get_deserializer(required_type, context) - - if is_optional: - field_parser: FieldDeserializer = OptionalFieldDeserializer(property_name, field_name, parser) - else: - field_parser = RequiredFieldDeserializer(property_name, field_name, parser) - - property_parsers.append(field_parser) - - super().assign(property_parsers) - - -def create_deserializer(typ: TypeLike, context: ModuleType | None = None) -> Deserializer: - """ - Creates a de-serializer engine to produce a Python object from an object obtained from a JSON string. - - When de-serializing a JSON object into a Python object, the following transformations are applied: - - * Fundamental types are parsed as `bool`, `int`, `float` or `str`. - * Date and time types are parsed from the ISO 8601 format with time zone into the corresponding Python type - `datetime`, `date` or `time`. - * Byte arrays are read from a string with Base64 encoding into a `bytes` instance. - * UUIDs are extracted from a UUID string compliant with RFC 4122 into a `uuid.UUID` instance. - * Enumerations are instantiated with a lookup on enumeration value. - * Containers (e.g. `list`, `dict`, `set`, `tuple`) are parsed recursively. - * Complex objects with properties (including data class types) are populated from dictionaries of key-value pairs - using reflection (enumerating type annotations). - - :raises TypeError: A de-serializer engine cannot be constructed for the input type. - """ - - if context is None: - if isinstance(typ, type): - context = sys.modules[typ.__module__] - - return _get_deserializer(typ, context) - - -_CACHE: dict[tuple[str, str], Deserializer] = {} - - -def _get_deserializer(typ: TypeLike, context: ModuleType | None) -> Deserializer: - "Creates or re-uses a de-serializer engine to parse an object obtained from a JSON string." - - cache_key = None - - if isinstance(typ, (str, typing.ForwardRef)): - if context is None: - raise TypeError(f"missing context for evaluating type: {typ}") - - if isinstance(typ, str): - if hasattr(context, typ): - cache_key = (context.__name__, typ) - elif isinstance(typ, typing.ForwardRef): - if hasattr(context, typ.__forward_arg__): - cache_key = (context.__name__, typ.__forward_arg__) - - typ = evaluate_type(typ, context) - - typ = unwrap_annotated_type(typ) if is_type_annotated(typ) else typ - - if isinstance(typ, type) and typing.get_origin(typ) is None: - cache_key = (typ.__module__, typ.__name__) - - if cache_key is not None: - deserializer = _CACHE.get(cache_key) - if deserializer is None: - deserializer = _create_deserializer(typ) - - # store de-serializer immediately in cache to avoid stack overflow for recursive types - _CACHE[cache_key] = deserializer - - if isinstance(typ, type): - # use type's own module as context for evaluating member types - context = sys.modules[typ.__module__] - - # create any de-serializers this de-serializer is depending on - deserializer.build(context) - else: - # special forms are not always hashable, create a new de-serializer every time - deserializer = _create_deserializer(typ) - deserializer.build(context) - - return deserializer - - -def _create_deserializer(typ: TypeLike) -> Deserializer: - "Creates a de-serializer engine to parse an object obtained from a JSON string." - - # check for well-known types - if typ is type(None): - return NoneDeserializer() - elif typ is bool: - return BoolDeserializer() - elif typ is int: - return IntDeserializer() - elif typ is float: - return FloatDeserializer() - elif typ is str: - return StringDeserializer() - elif typ is bytes: - return BytesDeserializer() - elif typ is datetime.datetime: - return DateTimeDeserializer() - elif typ is datetime.date: - return DateDeserializer() - elif typ is datetime.time: - return TimeDeserializer() - elif typ is uuid.UUID: - return UUIDDeserializer() - elif typ is ipaddress.IPv4Address: - return IPv4Deserializer() - elif typ is ipaddress.IPv6Address: - return IPv6Deserializer() - - # dynamically-typed collection types - if typ is list: - raise TypeError("explicit item type required: use `List[T]` instead of `list`") - if typ is dict: - raise TypeError("explicit key and value types required: use `Dict[K, V]` instead of `dict`") - if typ is set: - raise TypeError("explicit member type required: use `Set[T]` instead of `set`") - if typ is tuple: - raise TypeError("explicit item type list required: use `Tuple[T, ...]` instead of `tuple`") - - # generic types (e.g. list, dict, set, etc.) - origin_type = typing.get_origin(typ) - if origin_type is list: - (list_item_type,) = typing.get_args(typ) # unpack single tuple element - return ListDeserializer(list_item_type) - elif origin_type is dict: - key_type, value_type = typing.get_args(typ) - return DictDeserializer(key_type, value_type) - elif origin_type is set: - (set_member_type,) = typing.get_args(typ) # unpack single tuple element - return SetDeserializer(set_member_type) - elif origin_type is tuple: - return TupleDeserializer(typing.get_args(typ)) - elif origin_type is Union: - union_args = typing.get_args(typ) - if get_discriminating_properties(union_args): - return TaggedUnionDeserializer(union_args) - else: - return UnionDeserializer(union_args) - elif origin_type is Literal: - return LiteralDeserializer(typing.get_args(typ)) - - if not inspect.isclass(typ): - if is_dataclass_instance(typ): - raise TypeError(f"dataclass type expected but got instance: {typ}") - else: - raise TypeError(f"unable to de-serialize unrecognized type: {typ}") - - if issubclass(typ, enum.Enum): - return EnumDeserializer(typ) - - if is_named_tuple_type(typ): - return NamedTupleDeserializer(typ) - - # check if object has custom serialization method - convert_func = getattr(typ, "from_json", None) - if callable(convert_func): - return CustomDeserializer(convert_func) - - if is_dataclass_type(typ): - dataclass_params = getattr(typ, "__dataclass_params__", None) - if dataclass_params is not None and dataclass_params.frozen: - return FrozenDataclassDeserializer(typ) - else: - return DataclassDeserializer(typ) - - return TypedClassDeserializer(typ) diff --git a/src/llama_stack_api/strong_typing/docstring.py b/src/llama_stack_api/strong_typing/docstring.py deleted file mode 100644 index 4c9ea49e5..000000000 --- a/src/llama_stack_api/strong_typing/docstring.py +++ /dev/null @@ -1,410 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -""" -Type-safe data interchange for Python data classes. - -:see: https://github.com/hunyadi/strong_typing -""" - -import builtins -import collections.abc -import dataclasses -import inspect -import re -import sys -import types -import typing -from collections.abc import Callable -from dataclasses import dataclass -from io import StringIO -from typing import Any, Protocol, TypeVar - -if sys.version_info >= (3, 10): - from typing import TypeGuard -else: - from typing import TypeGuard - -from .inspection import ( - DataclassInstance, - get_class_properties, - get_signature, - is_dataclass_type, - is_type_enum, -) - -T = TypeVar("T") - - -@dataclass -class DocstringParam: - """ - A parameter declaration in a parameter block. - - :param name: The name of the parameter. - :param description: The description text for the parameter. - """ - - name: str - description: str - param_type: type | str = inspect.Signature.empty - - def __str__(self) -> str: - return f":param {self.name}: {self.description}" - - -@dataclass -class DocstringReturns: - """ - A `returns` declaration extracted from a docstring. - - :param description: The description text for the return value. - """ - - description: str - return_type: type = inspect.Signature.empty - - def __str__(self) -> str: - return f":returns: {self.description}" - - -@dataclass -class DocstringRaises: - """ - A `raises` declaration extracted from a docstring. - - :param typename: The type name of the exception raised. - :param description: The description associated with the exception raised. - """ - - typename: str - description: str - raise_type: type = inspect.Signature.empty - - def __str__(self) -> str: - return f":raises {self.typename}: {self.description}" - - -@dataclass -class Docstring: - """ - Represents the documentation string (a.k.a. docstring) for a type such as a (data) class or function. - - A docstring is broken down into the following components: - * A short description, which is the first block of text in the documentation string, and ends with a double - newline or a parameter block. - * A long description, which is the optional block of text following the short description, and ends with - a parameter block. - * A parameter block of named parameter and description string pairs in ReST-style. - * A `returns` declaration, which adds explanation to the return value. - * A `raises` declaration, which adds explanation to the exception type raised by the function on error. - - When the docstring is attached to a data class, it is understood as the documentation string of the class - `__init__` method. - - :param short_description: The short description text parsed from a docstring. - :param long_description: The long description text parsed from a docstring. - :param params: The parameter block extracted from a docstring. - :param returns: The returns declaration extracted from a docstring. - """ - - short_description: str | None = None - long_description: str | None = None - params: dict[str, DocstringParam] = dataclasses.field(default_factory=dict) - returns: DocstringReturns | None = None - raises: dict[str, DocstringRaises] = dataclasses.field(default_factory=dict) - - @property - def full_description(self) -> str | None: - if self.short_description and self.long_description: - return f"{self.short_description}\n\n{self.long_description}" - elif self.short_description: - return self.short_description - else: - return None - - def __str__(self) -> str: - output = StringIO() - - has_description = self.short_description or self.long_description - has_blocks = self.params or self.returns or self.raises - - if has_description: - if self.short_description and self.long_description: - output.write(self.short_description) - output.write("\n\n") - output.write(self.long_description) - elif self.short_description: - output.write(self.short_description) - - if has_blocks: - if has_description: - output.write("\n") - - for param in self.params.values(): - output.write("\n") - output.write(str(param)) - if self.returns: - output.write("\n") - output.write(str(self.returns)) - for raises in self.raises.values(): - output.write("\n") - output.write(str(raises)) - - s = output.getvalue() - output.close() - return s - - -def is_exception(member: object) -> TypeGuard[type[BaseException]]: - return isinstance(member, type) and issubclass(member, BaseException) - - -def get_exceptions(module: types.ModuleType) -> dict[str, type[BaseException]]: - "Returns all exception classes declared in a module." - - return {name: class_type for name, class_type in inspect.getmembers(module, is_exception)} - - -class SupportsDoc(Protocol): - __doc__: str | None - - -def _maybe_unwrap_async_iterator(t): - origin_type = typing.get_origin(t) - if origin_type is collections.abc.AsyncIterator: - return typing.get_args(t)[0] - return t - - -def parse_type(typ: SupportsDoc) -> Docstring: - """ - Parse the docstring of a type into its components. - - :param typ: The type whose documentation string to parse. - :returns: Components of the documentation string. - """ - # Use docstring from the iterator origin type for streaming apis - typ = _maybe_unwrap_async_iterator(typ) - - doc = get_docstring(typ) - if doc is None: - return Docstring() - - docstring = parse_text(doc) - check_docstring(typ, docstring) - - # assign parameter and return types - if is_dataclass_type(typ): - properties = dict(get_class_properties(typing.cast(type, typ))) - - for name, param in docstring.params.items(): - param.param_type = properties[name] - - elif inspect.isfunction(typ): - signature = get_signature(typ) - for name, param in docstring.params.items(): - param.param_type = signature.parameters[name].annotation - if docstring.returns: - docstring.returns.return_type = signature.return_annotation - - # assign exception types - defining_module = inspect.getmodule(typ) - if defining_module: - context: dict[str, type] = {} - context.update(get_exceptions(builtins)) - context.update(get_exceptions(defining_module)) - for exc_name, exc in docstring.raises.items(): - raise_type = context.get(exc_name) - if raise_type is None: - type_name = getattr(typ, "__qualname__", None) or getattr(typ, "__name__", None) or None - raise TypeError( - f"doc-string exception type `{exc_name}` is not an exception defined in the context of `{type_name}`" - ) - - exc.raise_type = raise_type - - return docstring - - -def parse_text(text: str) -> Docstring: - """ - Parse a ReST-style docstring into its components. - - :param text: The documentation string to parse, typically acquired as `type.__doc__`. - :returns: Components of the documentation string. - """ - - if not text: - return Docstring() - - # find block that starts object metadata block (e.g. `:param p:` or `:returns:`) - text = inspect.cleandoc(text) - match = re.search("^:", text, flags=re.MULTILINE) - if match: - desc_chunk = text[: match.start()] - meta_chunk = text[match.start() :] # noqa: E203 - else: - desc_chunk = text - meta_chunk = "" - - # split description text into short and long description - parts = desc_chunk.split("\n\n", 1) - - # ensure short description has no newlines - short_description = parts[0].strip().replace("\n", " ") or None - - # ensure long description preserves its structure (e.g. preformatted text) - if len(parts) > 1: - long_description = parts[1].strip() or None - else: - long_description = None - - params: dict[str, DocstringParam] = {} - raises: dict[str, DocstringRaises] = {} - returns = None - for match in re.finditer(r"(^:.*?)(?=^:|\Z)", meta_chunk, flags=re.DOTALL | re.MULTILINE): - chunk = match.group(0) - if not chunk: - continue - - args_chunk, desc_chunk = chunk.lstrip(":").split(":", 1) - args = args_chunk.split() - desc = re.sub(r"\s+", " ", desc_chunk.strip()) - - if len(args) > 0: - kw = args[0] - if len(args) == 2: - if kw == "param": - params[args[1]] = DocstringParam( - name=args[1], - description=desc, - ) - elif kw == "raise" or kw == "raises": - raises[args[1]] = DocstringRaises( - typename=args[1], - description=desc, - ) - - elif len(args) == 1: - if kw == "return" or kw == "returns": - returns = DocstringReturns(description=desc) - - return Docstring( - long_description=long_description, - short_description=short_description, - params=params, - returns=returns, - raises=raises, - ) - - -def has_default_docstring(typ: SupportsDoc) -> bool: - "Check if class has the auto-generated string assigned by @dataclass." - - if not isinstance(typ, type): - return False - - if is_dataclass_type(typ): - return typ.__doc__ is not None and re.match(f"^{re.escape(typ.__name__)}[(].*[)]$", typ.__doc__) is not None - - if is_type_enum(typ): - return typ.__doc__ is not None and typ.__doc__ == "An enumeration." - - return False - - -def has_docstring(typ: SupportsDoc) -> bool: - "Check if class has a documentation string other than the auto-generated string assigned by @dataclass." - - if has_default_docstring(typ): - return False - - return bool(typ.__doc__) - - -def get_docstring(typ: SupportsDoc) -> str | None: - if typ.__doc__ is None: - return None - - if has_default_docstring(typ): - return None - - return typ.__doc__ - - -def check_docstring(typ: SupportsDoc, docstring: Docstring, strict: bool = False) -> None: - """ - Verifies the doc-string of a type. - - :raises TypeError: Raised on a mismatch between doc-string parameters, and function or type signature. - """ - - if is_dataclass_type(typ): - check_dataclass_docstring(typ, docstring, strict) - elif inspect.isfunction(typ): - check_function_docstring(typ, docstring, strict) - - -def check_dataclass_docstring(typ: type[DataclassInstance], docstring: Docstring, strict: bool = False) -> None: - """ - Verifies the doc-string of a data-class type. - - :param strict: Whether to check if all data-class members have doc-strings. - :raises TypeError: Raised on a mismatch between doc-string parameters and data-class members. - """ - - if not is_dataclass_type(typ): - raise TypeError("not a data-class type") - - properties = dict(get_class_properties(typ)) - class_name = typ.__name__ - - for name in docstring.params: - if name not in properties: - raise TypeError(f"doc-string parameter `{name}` is not a member of the data-class `{class_name}`") - - if not strict: - return - - for name in properties: - if name not in docstring.params: - raise TypeError(f"member `{name}` in data-class `{class_name}` is missing its doc-string") - - -def check_function_docstring(fn: Callable[..., Any], docstring: Docstring, strict: bool = False) -> None: - """ - Verifies the doc-string of a function or member function. - - :param strict: Whether to check if all function parameters and the return type have doc-strings. - :raises TypeError: Raised on a mismatch between doc-string parameters and function signature. - """ - - signature = get_signature(fn) - func_name = fn.__qualname__ - - for name in docstring.params: - if name not in signature.parameters: - raise TypeError(f"doc-string parameter `{name}` is absent from signature of function `{func_name}`") - - if docstring.returns is not None and signature.return_annotation is inspect.Signature.empty: - raise TypeError(f"doc-string has returns description in function `{func_name}` with no return type annotation") - - if not strict: - return - - for name, param in signature.parameters.items(): - # ignore `self` in member function signatures - if name == "self" and ( - param.kind is inspect.Parameter.POSITIONAL_ONLY or param.kind is inspect.Parameter.POSITIONAL_OR_KEYWORD - ): - continue - - if name not in docstring.params: - raise TypeError(f"function parameter `{name}` in `{func_name}` is missing its doc-string") - - if signature.return_annotation is not inspect.Signature.empty and docstring.returns is None: - raise TypeError(f"function `{func_name}` has no returns description in its doc-string") diff --git a/src/llama_stack_api/strong_typing/exception.py b/src/llama_stack_api/strong_typing/exception.py deleted file mode 100644 index af037cc3c..000000000 --- a/src/llama_stack_api/strong_typing/exception.py +++ /dev/null @@ -1,23 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -""" -Type-safe data interchange for Python data classes. - -:see: https://github.com/hunyadi/strong_typing -""" - - -class JsonKeyError(Exception): - "Raised when deserialization for a class or union type has failed because a matching member was not found." - - -class JsonValueError(Exception): - "Raised when (de)serialization of data has failed due to invalid value." - - -class JsonTypeError(Exception): - "Raised when deserialization of data has failed due to a type mismatch." diff --git a/src/llama_stack_api/strong_typing/inspection.py b/src/llama_stack_api/strong_typing/inspection.py deleted file mode 100644 index 319d12657..000000000 --- a/src/llama_stack_api/strong_typing/inspection.py +++ /dev/null @@ -1,1104 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -""" -Type-safe data interchange for Python data classes. - -:see: https://github.com/hunyadi/strong_typing -""" - -import dataclasses -import datetime -import enum -import importlib -import importlib.machinery -import importlib.util -import inspect -import re -import sys -import types -import typing -import uuid -from collections.abc import Callable, Iterable -from typing import ( - Any, - Literal, - NamedTuple, - Protocol, - TypeVar, - Union, - runtime_checkable, -) - -if sys.version_info >= (3, 9): - from typing import Annotated -else: - from typing import Annotated - -if sys.version_info >= (3, 10): - from typing import TypeGuard -else: - from typing import TypeGuard - - -from pydantic import BaseModel -from pydantic.fields import FieldInfo - -S = TypeVar("S") -T = TypeVar("T") -K = TypeVar("K") -V = TypeVar("V") - - -def _is_type_like(data_type: object) -> bool: - """ - Checks if the object is a type or type-like object (e.g. generic type). - - :param data_type: The object to validate. - :returns: True if the object is a type or type-like object. - """ - - if isinstance(data_type, type): - # a standard type - return True - elif typing.get_origin(data_type) is not None: - # a generic type such as `list`, `dict` or `set` - return True - elif hasattr(data_type, "__forward_arg__"): - # an instance of `ForwardRef` - return True - elif data_type is Any: - # the special form `Any` - return True - else: - return False - - -if sys.version_info >= (3, 9): - TypeLike = Union[type, types.GenericAlias, typing.ForwardRef, Any] - - def is_type_like( - data_type: object, - ) -> TypeGuard[TypeLike]: - """ - Checks if the object is a type or type-like object (e.g. generic type). - - :param data_type: The object to validate. - :returns: True if the object is a type or type-like object. - """ - - return _is_type_like(data_type) - -else: - TypeLike = object - - def is_type_like( - data_type: object, - ) -> bool: - return _is_type_like(data_type) - - -def evaluate_member_type(typ: Any, cls: type) -> Any: - """ - Evaluates a forward reference type in a dataclass member. - - :param typ: The dataclass member type to convert. - :param cls: The dataclass in which the member is defined. - :returns: The evaluated type. - """ - - return evaluate_type(typ, sys.modules[cls.__module__]) - - -def evaluate_type(typ: Any, module: types.ModuleType) -> Any: - """ - Evaluates a forward reference type. - - :param typ: The type to convert, typically a dataclass member type. - :param module: The context for the type, i.e. the module in which the member is defined. - :returns: The evaluated type. - """ - - if isinstance(typ, str): - # evaluate data-class field whose type annotation is a string - return eval(typ, module.__dict__, locals()) - if isinstance(typ, typing.ForwardRef): - if sys.version_info >= (3, 9): - return typ._evaluate(module.__dict__, locals(), recursive_guard=frozenset()) - else: - return typ._evaluate(module.__dict__, locals()) - else: - return typ - - -@runtime_checkable -class DataclassInstance(Protocol): - __dataclass_fields__: typing.ClassVar[dict[str, dataclasses.Field]] - - -def is_dataclass_type(typ: Any) -> TypeGuard[type[DataclassInstance]]: - "True if the argument corresponds to a data class type (but not an instance)." - - typ = unwrap_annotated_type(typ) - return isinstance(typ, type) and dataclasses.is_dataclass(typ) - - -def is_dataclass_instance(obj: Any) -> TypeGuard[DataclassInstance]: - "True if the argument corresponds to a data class instance (but not a type)." - - return not isinstance(obj, type) and dataclasses.is_dataclass(obj) - - -@dataclasses.dataclass -class DataclassField: - name: str - type: Any - default: Any - - def __init__(self, name: str, type: Any, default: Any = dataclasses.MISSING) -> None: - self.name = name - self.type = type - self.default = default - - -def dataclass_fields(cls: type[DataclassInstance]) -> Iterable[DataclassField]: - "Generates the fields of a data-class resolving forward references." - - for field in dataclasses.fields(cls): - yield DataclassField(field.name, evaluate_member_type(field.type, cls), field.default) - - -def dataclass_field_by_name(cls: type[DataclassInstance], name: str) -> DataclassField: - "Looks up a field in a data-class by its field name." - - for field in dataclasses.fields(cls): - if field.name == name: - return DataclassField(field.name, evaluate_member_type(field.type, cls)) - - raise LookupError(f"field `{name}` missing from class `{cls.__name__}`") - - -def is_named_tuple_instance(obj: Any) -> TypeGuard[NamedTuple]: - "True if the argument corresponds to a named tuple instance." - - return is_named_tuple_type(type(obj)) - - -def is_named_tuple_type(typ: Any) -> TypeGuard[type[NamedTuple]]: - """ - True if the argument corresponds to a named tuple type. - - Calling the function `collections.namedtuple` gives a new type that is a subclass of `tuple` (and no other classes) - with a member named `_fields` that is a tuple whose items are all strings. - """ - - if not isinstance(typ, type): - return False - - typ = unwrap_annotated_type(typ) - - b = getattr(typ, "__bases__", None) - if b is None: - return False - - if len(b) != 1 or b[0] != tuple: - return False - - f = getattr(typ, "_fields", None) - if not isinstance(f, tuple): - return False - - return all(isinstance(n, str) for n in f) - - -if sys.version_info >= (3, 11): - - def is_type_enum(typ: object) -> TypeGuard[type[enum.Enum]]: - "True if the specified type is an enumeration type." - - typ = unwrap_annotated_type(typ) - return isinstance(typ, enum.EnumType) - -else: - - def is_type_enum(typ: object) -> TypeGuard[type[enum.Enum]]: - "True if the specified type is an enumeration type." - - typ = unwrap_annotated_type(typ) - - # use an explicit isinstance(..., type) check to filter out special forms like generics - return isinstance(typ, type) and issubclass(typ, enum.Enum) - - -def enum_value_types(enum_type: type[enum.Enum]) -> list[type]: - """ - Returns all unique value types of the `enum.Enum` type in definition order. - """ - - # filter unique enumeration value types by keeping definition order - return list(dict.fromkeys(type(e.value) for e in enum_type)) - - -def extend_enum( - source: type[enum.Enum], -) -> Callable[[type[enum.Enum]], type[enum.Enum]]: - """ - Creates a new enumeration type extending the set of values in an existing type. - - :param source: The existing enumeration type to be extended with new values. - :returns: A new enumeration type with the extended set of values. - """ - - def wrap(extend: type[enum.Enum]) -> type[enum.Enum]: - # create new enumeration type combining the values from both types - values: dict[str, Any] = {} - values.update((e.name, e.value) for e in source) - values.update((e.name, e.value) for e in extend) - # mypy fails to determine that __name__ is always a string; hence the `ignore` directive. - enum_class: type[enum.Enum] = enum.Enum(extend.__name__, values) # type: ignore[misc] - - # assign the newly created type to the same module where the extending class is defined - enum_class.__module__ = extend.__module__ - enum_class.__doc__ = extend.__doc__ - setattr(sys.modules[extend.__module__], extend.__name__, enum_class) - - return enum.unique(enum_class) - - return wrap - - -if sys.version_info >= (3, 10): - - def _is_union_like(typ: object) -> bool: - "True if type is a union such as `Union[T1, T2, ...]` or a union type `T1 | T2`." - - return typing.get_origin(typ) is Union or isinstance(typ, types.UnionType) - -else: - - def _is_union_like(typ: object) -> bool: - "True if type is a union such as `Union[T1, T2, ...]` or a union type `T1 | T2`." - - return typing.get_origin(typ) is Union - - -def is_type_optional(typ: object, strict: bool = False) -> TypeGuard[type[Any | None]]: - """ - True if the type annotation corresponds to an optional type (e.g. `Optional[T]` or `Union[T1,T2,None]`). - - `Optional[T]` is represented as `Union[T, None]` is classic style, and is equivalent to `T | None` in new style. - - :param strict: True if only `Optional[T]` qualifies as an optional type but `Union[T1, T2, None]` does not. - """ - - typ = unwrap_annotated_type(typ) - - if _is_union_like(typ): - args = typing.get_args(typ) - if strict and len(args) != 2: - return False - - return type(None) in args - - return False - - -def unwrap_optional_type(typ: type[T | None]) -> type[T]: - """ - Extracts the inner type of an optional type. - - :param typ: The optional type `Optional[T]`. - :returns: The inner type `T`. - """ - - return rewrap_annotated_type(_unwrap_optional_type, typ) - - -def _unwrap_optional_type(typ: type[T | None]) -> type[T]: - "Extracts the type qualified as optional (e.g. returns `T` for `Optional[T]`)." - - # Optional[T] is represented internally as Union[T, None] - if not _is_union_like(typ): - raise TypeError("optional type must have un-subscripted type of Union") - - # will automatically unwrap Union[T] into T - return Union[tuple(filter(lambda item: item is not type(None), typing.get_args(typ)))] # type: ignore[return-value] - - -def is_type_union(typ: object) -> bool: - "True if the type annotation corresponds to a union type (e.g. `Union[T1,T2,T3]`)." - - typ = unwrap_annotated_type(typ) - if _is_union_like(typ): - args = typing.get_args(typ) - return len(args) > 2 or type(None) not in args - - return False - - -def unwrap_union_types(typ: object) -> tuple[object, ...]: - """ - Extracts the inner types of a union type. - - :param typ: The union type `Union[T1, T2, ...]`. - :returns: The inner types `T1`, `T2`, etc. - """ - - typ = unwrap_annotated_type(typ) - return _unwrap_union_types(typ) - - -def _unwrap_union_types(typ: object) -> tuple[object, ...]: - "Extracts the types in a union (e.g. returns a tuple of types `T1` and `T2` for `Union[T1, T2]`)." - - if not _is_union_like(typ): - raise TypeError("union type must have un-subscripted type of Union") - - return typing.get_args(typ) - - -def is_type_literal(typ: object) -> bool: - "True if the specified type is a literal of one or more constant values, e.g. `Literal['string']` or `Literal[42]`." - - typ = unwrap_annotated_type(typ) - return typing.get_origin(typ) is Literal - - -def unwrap_literal_value(typ: object) -> Any: - """ - Extracts the single constant value captured by a literal type. - - :param typ: The literal type `Literal[value]`. - :returns: The values captured by the literal type. - """ - - args = unwrap_literal_values(typ) - if len(args) != 1: - raise TypeError("too many values in literal type") - - return args[0] - - -def unwrap_literal_values(typ: object) -> tuple[Any, ...]: - """ - Extracts the constant values captured by a literal type. - - :param typ: The literal type `Literal[value, ...]`. - :returns: A tuple of values captured by the literal type. - """ - - typ = unwrap_annotated_type(typ) - return typing.get_args(typ) - - -def unwrap_literal_types(typ: object) -> tuple[type, ...]: - """ - Extracts the types of the constant values captured by a literal type. - - :param typ: The literal type `Literal[value, ...]`. - :returns: A tuple of item types `T` such that `type(value) == T`. - """ - - return tuple(type(t) for t in unwrap_literal_values(typ)) - - -def is_generic_list(typ: object) -> TypeGuard[type[list]]: - "True if the specified type is a generic list, i.e. `List[T]`." - - typ = unwrap_annotated_type(typ) - return typing.get_origin(typ) is list - - -def unwrap_generic_list(typ: type[list[T]]) -> type[T]: - """ - Extracts the item type of a list type. - - :param typ: The list type `List[T]`. - :returns: The item type `T`. - """ - - return rewrap_annotated_type(_unwrap_generic_list, typ) - - -def _unwrap_generic_list(typ: type[list[T]]) -> type[T]: - "Extracts the item type of a list type (e.g. returns `T` for `List[T]`)." - - (list_type,) = typing.get_args(typ) # unpack single tuple element - return list_type # type: ignore[no-any-return] - - -def is_generic_sequence(typ: object) -> bool: - "True if the specified type is a generic Sequence, i.e. `Sequence[T]`." - import collections.abc - - typ = unwrap_annotated_type(typ) - return typing.get_origin(typ) is collections.abc.Sequence - - -def unwrap_generic_sequence(typ: object) -> type: - """ - Extracts the item type of a Sequence type. - - :param typ: The Sequence type `Sequence[T]`. - :returns: The item type `T`. - """ - - return rewrap_annotated_type(_unwrap_generic_sequence, typ) # type: ignore[arg-type] - - -def _unwrap_generic_sequence(typ: object) -> type: - "Extracts the item type of a Sequence type (e.g. returns `T` for `Sequence[T]`)." - - (sequence_type,) = typing.get_args(typ) # unpack single tuple element - return sequence_type # type: ignore[no-any-return] - - -def is_generic_set(typ: object) -> TypeGuard[type[set]]: - "True if the specified type is a generic set, i.e. `Set[T]`." - - typ = unwrap_annotated_type(typ) - return typing.get_origin(typ) is set - - -def unwrap_generic_set(typ: type[set[T]]) -> type[T]: - """ - Extracts the item type of a set type. - - :param typ: The set type `Set[T]`. - :returns: The item type `T`. - """ - - return rewrap_annotated_type(_unwrap_generic_set, typ) - - -def _unwrap_generic_set(typ: type[set[T]]) -> type[T]: - "Extracts the item type of a set type (e.g. returns `T` for `Set[T]`)." - - (set_type,) = typing.get_args(typ) # unpack single tuple element - return set_type # type: ignore[no-any-return] - - -def is_generic_dict(typ: object) -> TypeGuard[type[dict]]: - "True if the specified type is a generic dictionary, i.e. `Dict[KeyType, ValueType]`." - - typ = unwrap_annotated_type(typ) - return typing.get_origin(typ) is dict - - -def unwrap_generic_dict(typ: type[dict[K, V]]) -> tuple[type[K], type[V]]: - """ - Extracts the key and value types of a dictionary type as a tuple. - - :param typ: The dictionary type `Dict[K, V]`. - :returns: The key and value types `K` and `V`. - """ - - return _unwrap_generic_dict(unwrap_annotated_type(typ)) - - -def _unwrap_generic_dict(typ: type[dict[K, V]]) -> tuple[type[K], type[V]]: - "Extracts the key and value types of a dict type (e.g. returns (`K`, `V`) for `Dict[K, V]`)." - - key_type, value_type = typing.get_args(typ) - return key_type, value_type - - -def is_type_annotated(typ: TypeLike) -> bool: - "True if the type annotation corresponds to an annotated type (i.e. `Annotated[T, ...]`)." - - return getattr(typ, "__metadata__", None) is not None - - -def get_annotation(data_type: TypeLike, annotation_type: type[T]) -> T | None: - """ - Returns the first annotation on a data type that matches the expected annotation type. - - :param data_type: The annotated type from which to extract the annotation. - :param annotation_type: The annotation class to look for. - :returns: The annotation class instance found (if any). - """ - - metadata = getattr(data_type, "__metadata__", None) - if metadata is not None: - for annotation in metadata: - if isinstance(annotation, annotation_type): - return annotation - - return None - - -def unwrap_annotated_type(typ: T) -> T: - "Extracts the wrapped type from an annotated type (e.g. returns `T` for `Annotated[T, ...]`)." - - if is_type_annotated(typ): - # type is Annotated[T, ...] - return typing.get_args(typ)[0] # type: ignore[no-any-return] - else: - # type is a regular type - return typ - - -def rewrap_annotated_type(transform: Callable[[type[S]], type[T]], typ: type[S]) -> type[T]: - """ - Un-boxes, transforms and re-boxes an optionally annotated type. - - :param transform: A function that maps an un-annotated type to another type. - :param typ: A type to un-box (if necessary), transform, and re-box (if necessary). - """ - - metadata = getattr(typ, "__metadata__", None) - if metadata is not None: - # type is Annotated[T, ...] - inner_type = typing.get_args(typ)[0] - else: - # type is a regular type - inner_type = typ - - transformed_type = transform(inner_type) - - if metadata is not None: - return Annotated[(transformed_type, *metadata)] # type: ignore[return-value] - else: - return transformed_type - - -def get_module_classes(module: types.ModuleType) -> list[type]: - "Returns all classes declared directly in a module." - - def is_class_member(member: object) -> TypeGuard[type]: - return inspect.isclass(member) and member.__module__ == module.__name__ - - return [class_type for _, class_type in inspect.getmembers(module, is_class_member)] - - -if sys.version_info >= (3, 9): - - def get_resolved_hints(typ: type) -> dict[str, type]: - return typing.get_type_hints(typ, include_extras=True) - -else: - - def get_resolved_hints(typ: type) -> dict[str, type]: - return typing.get_type_hints(typ) - - -def get_class_properties(typ: type) -> Iterable[tuple[str, type | str]]: - "Returns all properties of a class." - - if is_dataclass_type(typ): - return ((field.name, field.type) for field in dataclasses.fields(typ)) - elif hasattr(typ, "model_fields"): - # Pydantic BaseModel - use model_fields to exclude ClassVar and other non-field attributes - # Reconstruct Annotated type if discriminator exists to preserve metadata - from typing import Annotated, Any - - from pydantic.fields import FieldInfo - - def get_field_type(name: str, field: Any) -> type | str: - # If field has discriminator, wrap in Annotated to preserve it for schema generation - if field.discriminator: - field_info = FieldInfo(annotation=None, discriminator=field.discriminator) - # Annotated returns _AnnotatedAlias which isn't a type but is valid here - return Annotated[field.annotation, field_info] # type: ignore[return-value] - # field.annotation can be Union types, Annotated, etc. which aren't type but are valid - return field.annotation # type: ignore[return-value,no-any-return] - - return ((name, get_field_type(name, field)) for name, field in typ.model_fields.items()) - else: - resolved_hints = get_resolved_hints(typ) - return resolved_hints.items() - - -def get_class_property(typ: type, name: str) -> type | str | None: - "Looks up the annotated type of a property in a class by its property name." - - for property_name, property_type in get_class_properties(typ): - if name == property_name: - return property_type - return None - - -@dataclasses.dataclass -class _ROOT: - pass - - -def get_referenced_types(typ: TypeLike, module: types.ModuleType | None = None) -> set[type]: - """ - Extracts types directly or indirectly referenced by this type. - - For example, extract `T` from `List[T]`, `Optional[T]` or `Annotated[T, ...]`, `K` and `V` from `Dict[K,V]`, - `A` and `B` from `Union[A,B]`. - - :param typ: A type or special form. - :param module: The context in which types are evaluated. - :returns: Types referenced by the given type or special form. - """ - - collector = TypeCollector() - collector.run(typ, _ROOT, module) - return collector.references - - -class TypeCollector: - """ - Collects types directly or indirectly referenced by a type. - - :param graph: The type dependency graph, linking types to types they depend on. - """ - - graph: dict[type, set[type]] - - @property - def references(self) -> set[type]: - "Types collected by the type collector." - - dependencies = set() - for edges in self.graph.values(): - dependencies.update(edges) - return dependencies - - def __init__(self) -> None: - self.graph = {_ROOT: set()} - - def traverse(self, typ: type) -> None: - "Finds all dependent types of a type." - - self.run(typ, _ROOT, sys.modules[typ.__module__]) - - def traverse_all(self, types: Iterable[type]) -> None: - "Finds all dependent types of a list of types." - - for typ in types: - self.traverse(typ) - - def run( - self, - typ: TypeLike, - cls: type[DataclassInstance], - module: types.ModuleType | None, - ) -> None: - """ - Extracts types indirectly referenced by this type. - - For example, extract `T` from `List[T]`, `Optional[T]` or `Annotated[T, ...]`, `K` and `V` from `Dict[K,V]`, - `A` and `B` from `Union[A,B]`. - - :param typ: A type or special form. - :param cls: A dataclass type being expanded for dependent types. - :param module: The context in which types are evaluated. - :returns: Types referenced by the given type or special form. - """ - - if typ is type(None) or typ is Any: - return - - if isinstance(typ, type): - self.graph[cls].add(typ) - - if typ in self.graph: - return - - self.graph[typ] = set() - - metadata = getattr(typ, "__metadata__", None) - if metadata is not None: - # type is Annotated[T, ...] - arg = typing.get_args(typ)[0] - return self.run(arg, cls, module) - - # type is a forward reference - if isinstance(typ, str) or isinstance(typ, typing.ForwardRef): - if module is None: - raise ValueError("missing context for evaluating types") - - evaluated_type = evaluate_type(typ, module) - return self.run(evaluated_type, cls, module) - - # type is a special form - origin = typing.get_origin(typ) - if origin in [list, dict, frozenset, set, tuple, Union]: - for arg in typing.get_args(typ): - self.run(arg, cls, module) - return - elif origin is Literal: - return - - # type is optional or a union type - if is_type_optional(typ): - return self.run(unwrap_optional_type(typ), cls, module) - if is_type_union(typ): - for union_type in unwrap_union_types(typ): - self.run(union_type, cls, module) - return - - # type is a regular type - elif is_dataclass_type(typ) or is_type_enum(typ) or isinstance(typ, type): - context = sys.modules[typ.__module__] - if is_dataclass_type(typ): - for field in dataclass_fields(typ): - self.run(field.type, typ, context) - else: - for field_name, field_type in get_resolved_hints(typ).items(): - self.run(field_type, typ, context) - return - - raise TypeError(f"expected: type-like; got: {typ}") - - -if sys.version_info >= (3, 10): - - def get_signature(fn: Callable[..., Any]) -> inspect.Signature: - "Extracts the signature of a function." - - return inspect.signature(fn, eval_str=True) - -else: - - def get_signature(fn: Callable[..., Any]) -> inspect.Signature: - "Extracts the signature of a function." - - return inspect.signature(fn) - - -def is_reserved_property(name: str) -> bool: - "True if the name stands for an internal property." - - # filter built-in and special properties - if re.match(r"^__.+__$", name): - return True - - # filter built-in special names - if name in ["_abc_impl"]: - return True - - return False - - -def create_module(name: str) -> types.ModuleType: - """ - Creates a new module dynamically at run-time. - - :param name: Fully qualified name of the new module (with dot notation). - """ - - if name in sys.modules: - raise KeyError(f"{name!r} already in sys.modules") - - spec = importlib.machinery.ModuleSpec(name, None) - module = importlib.util.module_from_spec(spec) - sys.modules[name] = module - if spec.loader is not None: - spec.loader.exec_module(module) - return module - - -if sys.version_info >= (3, 10): - - def create_data_type(class_name: str, fields: list[tuple[str, type]]) -> type: - """ - Creates a new data-class type dynamically. - - :param class_name: The name of new data-class type. - :param fields: A list of fields (and their type) that the new data-class type is expected to have. - :returns: The newly created data-class type. - """ - - # has the `slots` parameter - return dataclasses.make_dataclass(class_name, fields, slots=True) - -else: - - def create_data_type(class_name: str, fields: list[tuple[str, type]]) -> type: - """ - Creates a new data-class type dynamically. - - :param class_name: The name of new data-class type. - :param fields: A list of fields (and their type) that the new data-class type is expected to have. - :returns: The newly created data-class type. - """ - - cls = dataclasses.make_dataclass(class_name, fields) - - cls_dict = dict(cls.__dict__) - field_names = tuple(field.name for field in dataclasses.fields(cls)) - - cls_dict["__slots__"] = field_names - - for field_name in field_names: - cls_dict.pop(field_name, None) - cls_dict.pop("__dict__", None) - - qualname = getattr(cls, "__qualname__", None) - cls = type(cls)(cls.__name__, (), cls_dict) - if qualname is not None: - cls.__qualname__ = qualname - - return cls - - -def create_object(typ: type[T]) -> T: - "Creates an instance of a type." - - if issubclass(typ, Exception): - # exception types need special treatment - e = typ.__new__(typ) - return typing.cast(T, e) - else: - return object.__new__(typ) - - -if sys.version_info >= (3, 9): - TypeOrGeneric = Union[type, types.GenericAlias] - -else: - TypeOrGeneric = object - - -def is_generic_instance(obj: Any, typ: TypeLike) -> bool: - """ - Returns whether an object is an instance of a generic class, a standard class or of a subclass thereof. - - This function checks the following items recursively: - * items of a list - * keys and values of a dictionary - * members of a set - * items of a tuple - * members of a union type - - :param obj: The (possibly generic container) object to check recursively. - :param typ: The expected type of the object. - """ - - if isinstance(typ, typing.ForwardRef): - fwd: typing.ForwardRef = typ - identifier = fwd.__forward_arg__ - typ = eval(identifier) - if isinstance(typ, type): - return isinstance(obj, typ) - else: - return False - - # generic types (e.g. list, dict, set, etc.) - origin_type = typing.get_origin(typ) - if origin_type is list: - if not isinstance(obj, list): - return False - (list_item_type,) = typing.get_args(typ) # unpack single tuple element - list_obj: list = obj - return all(is_generic_instance(item, list_item_type) for item in list_obj) - elif origin_type is dict: - if not isinstance(obj, dict): - return False - key_type, value_type = typing.get_args(typ) - dict_obj: dict = obj - return all( - is_generic_instance(key, key_type) and is_generic_instance(value, value_type) - for key, value in dict_obj.items() - ) - elif origin_type is set: - if not isinstance(obj, set): - return False - (set_member_type,) = typing.get_args(typ) # unpack single tuple element - set_obj: set = obj - return all(is_generic_instance(item, set_member_type) for item in set_obj) - elif origin_type is tuple: - if not isinstance(obj, tuple): - return False - return all( - is_generic_instance(item, tuple_item_type) - for tuple_item_type, item in zip( - (tuple_item_type for tuple_item_type in typing.get_args(typ)), - (item for item in obj), - strict=False, - ) - ) - elif origin_type is Union: - return any(is_generic_instance(obj, member_type) for member_type in typing.get_args(typ)) - elif isinstance(typ, type): - return isinstance(obj, typ) - else: - raise TypeError(f"expected `type` but got: {typ}") - - -class RecursiveChecker: - _pred: Callable[[type, Any], bool] | None - - def __init__(self, pred: Callable[[type, Any], bool]) -> None: - """ - Creates a checker to verify if a predicate applies to all nested member properties of an object recursively. - - :param pred: The predicate to test on member properties. Takes a property type and a property value. - """ - - self._pred = pred - - def pred(self, typ: type, obj: Any) -> bool: - "Acts as a workaround for the type checker mypy." - - assert self._pred is not None - return self._pred(typ, obj) - - def check(self, typ: TypeLike, obj: Any) -> bool: - """ - Checks if a predicate applies to all nested member properties of an object recursively. - - :param typ: The type to recurse into. - :param obj: The object to inspect recursively. Must be an instance of the given type. - :returns: True if all member properties pass the filter predicate. - """ - - # check for well-known types - if ( - typ is type(None) - or typ is bool - or typ is int - or typ is float - or typ is str - or typ is bytes - or typ is datetime.datetime - or typ is datetime.date - or typ is datetime.time - or typ is uuid.UUID - ): - return self.pred(typing.cast(type, typ), obj) - - # generic types (e.g. list, dict, set, etc.) - origin_type = typing.get_origin(typ) - if origin_type is list: - if not isinstance(obj, list): - raise TypeError(f"expected `list` but got: {obj}") - (list_item_type,) = typing.get_args(typ) # unpack single tuple element - list_obj: list = obj - return all(self.check(list_item_type, item) for item in list_obj) - elif origin_type is dict: - if not isinstance(obj, dict): - raise TypeError(f"expected `dict` but got: {obj}") - key_type, value_type = typing.get_args(typ) - dict_obj: dict = obj - return all(self.check(value_type, item) for item in dict_obj.values()) - elif origin_type is set: - if not isinstance(obj, set): - raise TypeError(f"expected `set` but got: {obj}") - (set_member_type,) = typing.get_args(typ) # unpack single tuple element - set_obj: set = obj - return all(self.check(set_member_type, item) for item in set_obj) - elif origin_type is tuple: - if not isinstance(obj, tuple): - raise TypeError(f"expected `tuple` but got: {obj}") - return all( - self.check(tuple_item_type, item) - for tuple_item_type, item in zip( - (tuple_item_type for tuple_item_type in typing.get_args(typ)), - (item for item in obj), - strict=False, - ) - ) - elif origin_type is Union: - return self.pred(typ, obj) # type: ignore[arg-type] - - if not inspect.isclass(typ): - raise TypeError(f"expected `type` but got: {typ}") - - # enumeration type - if issubclass(typ, enum.Enum): - if not isinstance(obj, enum.Enum): - raise TypeError(f"expected `{typ}` but got: {obj}") - return self.pred(typ, obj) - - # class types with properties - if is_named_tuple_type(typ): - if not isinstance(obj, tuple): - raise TypeError(f"expected `NamedTuple` but got: {obj}") - return all( - self.check(field_type, getattr(obj, field_name)) - for field_name, field_type in typing.get_type_hints(typ).items() - ) - elif is_dataclass_type(typ): - if not isinstance(obj, typ): - raise TypeError(f"expected `{typ}` but got: {obj}") - resolved_hints = get_resolved_hints(typ) - return all( - self.check(resolved_hints[field.name], getattr(obj, field.name)) for field in dataclasses.fields(typ) - ) - else: - if not isinstance(obj, typ): - raise TypeError(f"expected `{typ}` but got: {obj}") - return all( - self.check(property_type, getattr(obj, property_name)) - for property_name, property_type in get_class_properties(typ) - ) - - -def check_recursive( - obj: object, - /, - *, - pred: Callable[[type, Any], bool] | None = None, - type_pred: Callable[[type], bool] | None = None, - value_pred: Callable[[Any], bool] | None = None, -) -> bool: - """ - Checks if a predicate applies to all nested member properties of an object recursively. - - :param obj: The object to inspect recursively. - :param pred: The predicate to test on member properties. Takes a property type and a property value. - :param type_pred: Constrains the check to properties of an expected type. Properties of other types pass automatically. - :param value_pred: Verifies a condition on member property values (of an expected type). - :returns: True if all member properties pass the filter predicate(s). - """ - - if type_pred is not None and value_pred is not None: - if pred is not None: - raise TypeError("filter predicate not permitted when type and value predicates are present") - - type_p: Callable[[type[T]], bool] = type_pred - value_p: Callable[[T], bool] = value_pred - pred = lambda typ, obj: not type_p(typ) or value_p(obj) # noqa: E731 - - elif value_pred is not None: - if pred is not None: - raise TypeError("filter predicate not permitted when value predicate is present") - - value_only_p: Callable[[T], bool] = value_pred - pred = lambda typ, obj: value_only_p(obj) # noqa: E731 - - elif type_pred is not None: - raise TypeError("value predicate required when type predicate is present") - - elif pred is None: - pred = lambda typ, obj: True # noqa: E731 - - return RecursiveChecker(pred).check(type(obj), obj) - - -def is_unwrapped_body_param(param_type: Any) -> bool: - """ - Check if a parameter type represents an unwrapped body parameter. - An unwrapped body parameter is an Annotated type with Body(embed=False) - - This is used to determine whether request parameters should be flattened - in OpenAPI specs and client libraries (matching FastAPI's embed=False behavior). - - Args: - param_type: The parameter type annotation to check - - Returns: - True if the parameter should be treated as an unwrapped body parameter - """ - # Check if it's Annotated with Body(embed=False) - if typing.get_origin(param_type) is Annotated: - args = typing.get_args(param_type) - base_type = args[0] - metadata = args[1:] - - # Look for Body annotation with embed=False - # Body() returns a FieldInfo object, so we check for that type and the embed attribute - for item in metadata: - if isinstance(item, FieldInfo) and hasattr(item, "embed") and not item.embed: - return inspect.isclass(base_type) and issubclass(base_type, BaseModel) - - return False diff --git a/src/llama_stack_api/strong_typing/mapping.py b/src/llama_stack_api/strong_typing/mapping.py deleted file mode 100644 index d6c1a3172..000000000 --- a/src/llama_stack_api/strong_typing/mapping.py +++ /dev/null @@ -1,39 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -""" -Type-safe data interchange for Python data classes. - -:see: https://github.com/hunyadi/strong_typing -""" - -import keyword - -from .auxiliary import Alias -from .inspection import get_annotation - - -def python_field_to_json_property(python_id: str, python_type: object | None = None) -> str: - """ - Map a Python field identifier to a JSON property name. - - Authors may use an underscore appended at the end of a Python identifier as per PEP 8 if it clashes with a Python - keyword: e.g. `in` would become `in_` and `from` would become `from_`. Remove these suffixes when exporting to JSON. - - Authors may supply an explicit alias with the type annotation `Alias`, e.g. `Annotated[MyType, Alias("alias")]`. - """ - - if python_type is not None: - alias = get_annotation(python_type, Alias) - if alias: - return alias.name - - if python_id.endswith("_"): - id = python_id[:-1] - if keyword.iskeyword(id): - return id - - return python_id diff --git a/src/llama_stack_api/strong_typing/name.py b/src/llama_stack_api/strong_typing/name.py deleted file mode 100644 index 60501ac43..000000000 --- a/src/llama_stack_api/strong_typing/name.py +++ /dev/null @@ -1,188 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -""" -Type-safe data interchange for Python data classes. - -:see: https://github.com/hunyadi/strong_typing -""" - -import typing -from typing import Any, Literal, Union - -from .auxiliary import _auxiliary_types -from .inspection import ( - TypeLike, - is_generic_dict, - is_generic_list, - is_generic_sequence, - is_type_optional, - is_type_union, - unwrap_generic_dict, - unwrap_generic_list, - unwrap_generic_sequence, - unwrap_optional_type, - unwrap_union_types, -) - - -class TypeFormatter: - """ - Type formatter. - - :param use_union_operator: Whether to emit union types as `X | Y` as per PEP 604. - """ - - use_union_operator: bool - - def __init__(self, use_union_operator: bool = False) -> None: - self.use_union_operator = use_union_operator - - def union_to_str(self, data_type_args: tuple[TypeLike, ...]) -> str: - if self.use_union_operator: - return " | ".join(self.python_type_to_str(t) for t in data_type_args) - else: - if len(data_type_args) == 2 and type(None) in data_type_args: - # Optional[T] is represented as Union[T, None] - origin_name = "Optional" - data_type_args = tuple(t for t in data_type_args if t is not type(None)) - else: - origin_name = "Union" - - args = ", ".join(self.python_type_to_str(t) for t in data_type_args) - return f"{origin_name}[{args}]" - - def plain_type_to_str(self, data_type: TypeLike) -> str: - "Returns the string representation of a Python type without metadata." - - # return forward references as the annotation string - if isinstance(data_type, typing.ForwardRef): - fwd: typing.ForwardRef = data_type - return fwd.__forward_arg__ - elif isinstance(data_type, str): - return data_type - - origin = typing.get_origin(data_type) - if origin is not None: - data_type_args = typing.get_args(data_type) - - if origin is dict: # Dict[T] - origin_name = "Dict" - elif origin is list: # List[T] - origin_name = "List" - elif origin is set: # Set[T] - origin_name = "Set" - elif origin is Union: - return self.union_to_str(data_type_args) - elif origin is Literal: - args = ", ".join(repr(arg) for arg in data_type_args) - return f"Literal[{args}]" - else: - origin_name = origin.__name__ - - args = ", ".join(self.python_type_to_str(t) for t in data_type_args) - return f"{origin_name}[{args}]" - - return data_type.__name__ - - def python_type_to_str(self, data_type: TypeLike) -> str: - "Returns the string representation of a Python type." - - if data_type is type(None): - return "None" - - # use compact name for alias types - name = _auxiliary_types.get(data_type) - if name is not None: - return name - - metadata = getattr(data_type, "__metadata__", None) - if metadata is not None: - # type is Annotated[T, ...] - metatuple: tuple[Any, ...] = metadata - arg = typing.get_args(data_type)[0] - - # check for auxiliary types with user-defined annotations - metaset = set(metatuple) - for auxiliary_type, auxiliary_name in _auxiliary_types.items(): - auxiliary_arg = typing.get_args(auxiliary_type)[0] - if arg is not auxiliary_arg: - continue - - auxiliary_metatuple: tuple[Any, ...] | None = getattr(auxiliary_type, "__metadata__", None) - if auxiliary_metatuple is None: - continue - - if metaset.issuperset(auxiliary_metatuple): - # type is an auxiliary type with extra annotations - auxiliary_args = ", ".join(repr(m) for m in metatuple if m not in auxiliary_metatuple) - return f"Annotated[{auxiliary_name}, {auxiliary_args}]" - - # type is an annotated type - args = ", ".join(repr(m) for m in metatuple) - return f"Annotated[{self.plain_type_to_str(arg)}, {args}]" - else: - # type is a regular type - return self.plain_type_to_str(data_type) - - -def python_type_to_str(data_type: TypeLike, use_union_operator: bool = False) -> str: - """ - Returns the string representation of a Python type. - - :param use_union_operator: Whether to emit union types as `X | Y` as per PEP 604. - """ - - fmt = TypeFormatter(use_union_operator) - return fmt.python_type_to_str(data_type) - - -def python_type_to_name(data_type: TypeLike, force: bool = False) -> str: - """ - Returns the short name of a Python type. - - :param force: Whether to produce a name for composite types such as generics. - """ - - # use compact name for alias types - name = _auxiliary_types.get(data_type) - if name is not None: - return name - - # unwrap annotated types - metadata = getattr(data_type, "__metadata__", None) - if metadata is not None: - # type is Annotated[T, ...] - arg = typing.get_args(data_type)[0] - return python_type_to_name(arg, force=force) - - if force: - # generic types - if is_type_optional(data_type, strict=True): - inner_name = python_type_to_name(unwrap_optional_type(data_type), force=True) - return f"Optional__{inner_name}" - elif is_generic_list(data_type): - item_name = python_type_to_name(unwrap_generic_list(data_type), force=True) - return f"List__{item_name}" - elif is_generic_sequence(data_type): - # Treat Sequence the same as List for schema generation purposes - item_name = python_type_to_name(unwrap_generic_sequence(data_type), force=True) - return f"List__{item_name}" - elif is_generic_dict(data_type): - key_type, value_type = unwrap_generic_dict(data_type) - key_name = python_type_to_name(key_type, force=True) - value_name = python_type_to_name(value_type, force=True) - return f"Dict__{key_name}__{value_name}" - elif is_type_union(data_type): - member_types = unwrap_union_types(data_type) - member_names = "__".join(python_type_to_name(member_type, force=True) for member_type in member_types) - return f"Union__{member_names}" - - # named system or user-defined type - if hasattr(data_type, "__name__") and not typing.get_args(data_type): - return data_type.__name__ - - raise TypeError(f"cannot assign a simple name to type: {data_type}") diff --git a/src/llama_stack_api/strong_typing/schema.py b/src/llama_stack_api/strong_typing/schema.py deleted file mode 100644 index 916690e41..000000000 --- a/src/llama_stack_api/strong_typing/schema.py +++ /dev/null @@ -1,791 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -""" -Type-safe data interchange for Python data classes. - -:see: https://github.com/hunyadi/strong_typing -""" - -import collections.abc -import dataclasses -import datetime -import decimal -import enum -import functools -import inspect -import json -import types -import typing -import uuid -from collections.abc import Callable -from copy import deepcopy -from typing import ( - Annotated, - Any, - ClassVar, - Literal, - TypeVar, - Union, - overload, -) - -import jsonschema - -from . import docstring -from .auxiliary import ( - Alias, - IntegerRange, - MaxLength, - MinLength, - Precision, - get_auxiliary_format, -) -from .core import JsonArray, JsonObject, JsonType, Schema, StrictJsonType -from .inspection import ( - TypeLike, - enum_value_types, - get_annotation, - get_class_properties, - is_type_enum, - is_type_like, - is_type_optional, - unwrap_optional_type, -) -from .name import python_type_to_name -from .serialization import object_to_json - -# determines the maximum number of distinct enum members up to which a Dict[EnumType, Any] is converted into a JSON -# schema with explicitly listed properties (rather than employing a pattern constraint on property names) -OBJECT_ENUM_EXPANSION_LIMIT = 4 - - -T = TypeVar("T") - - -def get_class_docstrings(data_type: type) -> tuple[str | None, str | None]: - docstr = docstring.parse_type(data_type) - - # check if class has a doc-string other than the auto-generated string assigned by @dataclass - if docstring.has_default_docstring(data_type): - return None, None - - return docstr.short_description, docstr.long_description - - -def get_class_property_docstrings( - data_type: type, transform_fun: Callable[[type, str, str], str] | None = None -) -> dict[str, str]: - """ - Extracts the documentation strings associated with the properties of a composite type. - - :param data_type: The object whose properties to iterate over. - :param transform_fun: An optional function that maps a property documentation string to a custom tailored string. - :returns: A dictionary mapping property names to descriptions. - """ - - result: dict[str, str] = {} - # Only try to get MRO if data_type is actually a class - # Special types like Literal, Union, etc. don't have MRO - if not inspect.isclass(data_type): - return result - - for base in inspect.getmro(data_type): - docstr = docstring.parse_type(base) - for param in docstr.params.values(): - if param.name in result: - continue - - if transform_fun: - description = transform_fun(data_type, param.name, param.description) - else: - description = param.description - - result[param.name] = description - return result - - -def docstring_to_schema(data_type: type) -> Schema: - short_description, long_description = get_class_docstrings(data_type) - schema: Schema = { - "title": python_type_to_name(data_type, force=True), - } - - description = "\n".join(filter(None, [short_description, long_description])) - if description: - schema["description"] = description - return schema - - -def id_from_ref(data_type: typing.ForwardRef | str | type) -> str: - "Extracts the name of a possibly forward-referenced type." - - if isinstance(data_type, typing.ForwardRef): - forward_type: typing.ForwardRef = data_type - return forward_type.__forward_arg__ - elif isinstance(data_type, str): - return data_type - else: - return data_type.__name__ - - -def type_from_ref(data_type: typing.ForwardRef | str | type) -> tuple[str, type]: - "Creates a type from a forward reference." - - if isinstance(data_type, typing.ForwardRef): - forward_type: typing.ForwardRef = data_type - true_type = eval(forward_type.__forward_code__) - return forward_type.__forward_arg__, true_type - elif isinstance(data_type, str): - true_type = eval(data_type) - return data_type, true_type - else: - return data_type.__name__, data_type - - -@dataclasses.dataclass -class TypeCatalogEntry: - schema: Schema | None - identifier: str - examples: JsonType | None = None - - -class TypeCatalog: - "Maintains an association of well-known Python types to their JSON schema." - - _by_type: dict[TypeLike, TypeCatalogEntry] - _by_name: dict[str, TypeCatalogEntry] - - def __init__(self) -> None: - self._by_type = {} - self._by_name = {} - - def __contains__(self, data_type: TypeLike) -> bool: - if isinstance(data_type, typing.ForwardRef): - fwd: typing.ForwardRef = data_type - name = fwd.__forward_arg__ - return name in self._by_name - else: - return data_type in self._by_type - - def add( - self, - data_type: TypeLike, - schema: Schema | None, - identifier: str, - examples: list[JsonType] | None = None, - ) -> None: - if isinstance(data_type, typing.ForwardRef): - raise TypeError("forward references cannot be used to register a type") - - if data_type in self._by_type: - raise ValueError(f"type {data_type} is already registered in the catalog") - - entry = TypeCatalogEntry(schema, identifier, examples) - self._by_type[data_type] = entry - self._by_name[identifier] = entry - - def get(self, data_type: TypeLike) -> TypeCatalogEntry: - if isinstance(data_type, typing.ForwardRef): - fwd: typing.ForwardRef = data_type - name = fwd.__forward_arg__ - return self._by_name[name] - else: - return self._by_type[data_type] - - -@dataclasses.dataclass -class SchemaOptions: - definitions_path: str = "#/definitions/" - use_descriptions: bool = True - use_examples: bool = True - property_description_fun: Callable[[type, str, str], str] | None = None - - -class JsonSchemaGenerator: - "Creates a JSON schema with user-defined type definitions." - - type_catalog: ClassVar[TypeCatalog] = TypeCatalog() - types_used: dict[str, TypeLike] - options: SchemaOptions - - def __init__(self, options: SchemaOptions | None = None): - if options is None: - self.options = SchemaOptions() - else: - self.options = options - self.types_used = {} - - @functools.singledispatchmethod - def _metadata_to_schema(self, arg: object) -> Schema: - # unrecognized annotation - return {} - - @_metadata_to_schema.register - def _(self, arg: IntegerRange) -> Schema: - return {"minimum": arg.minimum, "maximum": arg.maximum} - - @_metadata_to_schema.register - def _(self, arg: Precision) -> Schema: - return { - "multipleOf": 10 ** (-arg.decimal_digits), - "exclusiveMinimum": -(10**arg.integer_digits), - "exclusiveMaximum": (10**arg.integer_digits), - } - - @_metadata_to_schema.register - def _(self, arg: MinLength) -> Schema: - return {"minLength": arg.value} - - @_metadata_to_schema.register - def _(self, arg: MaxLength) -> Schema: - return {"maxLength": arg.value} - - def _with_metadata(self, type_schema: Schema, metadata: tuple[Any, ...] | None) -> Schema: - if metadata: - for m in metadata: - type_schema.update(self._metadata_to_schema(m)) - return type_schema - - def _simple_type_to_schema(self, typ: TypeLike, json_schema_extra: dict | None = None) -> Schema | None: - """ - Returns the JSON schema associated with a simple, unrestricted type. - - :returns: The schema for a simple type, or `None`. - """ - - if typ is type(None): - return {"type": "null"} - elif typ is bool: - return {"type": "boolean"} - elif typ is int: - return {"type": "integer"} - elif typ is float: - return {"type": "number"} - elif typ is str: - if json_schema_extra and "contentEncoding" in json_schema_extra: - return { - "type": "string", - "contentEncoding": json_schema_extra["contentEncoding"], - } - return {"type": "string"} - elif typ is bytes: - return {"type": "string", "contentEncoding": "base64"} - elif typ is datetime.datetime: - # 2018-11-13T20:20:39+00:00 - return { - "type": "string", - "format": "date-time", - } - elif typ is datetime.date: - # 2018-11-13 - return {"type": "string", "format": "date"} - elif typ is datetime.time: - # 20:20:39+00:00 - return {"type": "string", "format": "time"} - elif typ is decimal.Decimal: - return {"type": "number"} - elif typ is uuid.UUID: - # f81d4fae-7dec-11d0-a765-00a0c91e6bf6 - return {"type": "string", "format": "uuid"} - elif typ is Any: - return { - "oneOf": [ - {"type": "null"}, - {"type": "boolean"}, - {"type": "number"}, - {"type": "string"}, - {"type": "array"}, - {"type": "object"}, - ] - } - elif typ is JsonObject: - return {"type": "object"} - elif typ is JsonArray: - return {"type": "array"} - else: - # not a simple type - return None - - def type_to_schema( - self, - data_type: TypeLike, - force_expand: bool = False, - json_schema_extra: dict | None = None, - ) -> Schema: - common_info = {} - if json_schema_extra and "deprecated" in json_schema_extra: - common_info["deprecated"] = json_schema_extra["deprecated"] - return self._type_to_schema(data_type, force_expand, json_schema_extra) | common_info - - def _type_to_schema( - self, - data_type: TypeLike, - force_expand: bool = False, - json_schema_extra: dict | None = None, - ) -> Schema: - """ - Returns the JSON schema associated with a type. - - :param data_type: The Python type whose JSON schema to return. - :param force_expand: Forces a JSON schema to be returned even if the type is registered in the catalog of known types. - :returns: The JSON schema associated with the type. - """ - - # short-circuit for common simple types - schema = self._simple_type_to_schema(data_type, json_schema_extra) - if schema is not None: - return schema - - # types registered in the type catalog of well-known types - type_catalog = JsonSchemaGenerator.type_catalog - if not force_expand and data_type in type_catalog: - # user-defined type - identifier = type_catalog.get(data_type).identifier - self.types_used.setdefault(identifier, data_type) - return {"$ref": f"{self.options.definitions_path}{identifier}"} - - # unwrap annotated types - metadata = getattr(data_type, "__metadata__", None) - if metadata is not None: - # type is Annotated[T, ...] - typ = typing.get_args(data_type)[0] - schema = self._simple_type_to_schema(typ) - if schema is not None: - # recognize well-known auxiliary types - fmt = get_auxiliary_format(data_type) - if fmt is not None: - schema.update({"format": fmt}) - return schema - else: - return self._with_metadata(schema, metadata) - - else: - # type is a regular type - typ = data_type - - if isinstance(typ, typing.ForwardRef) or isinstance(typ, str): - if force_expand: - identifier, true_type = type_from_ref(typ) - return self.type_to_schema(true_type, force_expand=True) - else: - try: - identifier, true_type = type_from_ref(typ) - self.types_used[identifier] = true_type - except NameError: - identifier = id_from_ref(typ) - - return {"$ref": f"{self.options.definitions_path}{identifier}"} - - if is_type_enum(typ): - enum_type: type[enum.Enum] = typ - value_types = enum_value_types(enum_type) - if len(value_types) != 1: - raise ValueError( - f"enumerations must have a consistent member value type but several types found: {value_types}" - ) - enum_value_type = value_types.pop() - - enum_schema: Schema - if enum_value_type is bool or enum_value_type is int or enum_value_type is float or enum_value_type is str: - if enum_value_type is bool: - enum_schema_type = "boolean" - elif enum_value_type is int: - enum_schema_type = "integer" - elif enum_value_type is float: - enum_schema_type = "number" - elif enum_value_type is str: - enum_schema_type = "string" - - enum_schema = { - "type": enum_schema_type, - "enum": [object_to_json(e.value) for e in enum_type], - } - if self.options.use_descriptions: - enum_schema.update(docstring_to_schema(typ)) - return enum_schema - else: - enum_schema = self.type_to_schema(enum_value_type) - if self.options.use_descriptions: - enum_schema.update(docstring_to_schema(typ)) - return enum_schema - - origin_type = typing.get_origin(typ) - if origin_type is list: - (list_type,) = typing.get_args(typ) # unpack single tuple element - return {"type": "array", "items": self.type_to_schema(list_type)} - elif origin_type is collections.abc.Sequence: - # Treat Sequence the same as list for JSON schema (both are arrays) - (sequence_type,) = typing.get_args(typ) # unpack single tuple element - return {"type": "array", "items": self.type_to_schema(sequence_type)} - elif origin_type is dict: - key_type, value_type = typing.get_args(typ) - if not (key_type is str or key_type is int or is_type_enum(key_type)): - raise ValueError("`dict` with key type not coercible to `str` is not supported") - - dict_schema: Schema - value_schema = self.type_to_schema(value_type) - if is_type_enum(key_type): - enum_values = [str(e.value) for e in key_type] - if len(enum_values) > OBJECT_ENUM_EXPANSION_LIMIT: - dict_schema = { - "propertyNames": {"pattern": "^(" + "|".join(enum_values) + ")$"}, - "additionalProperties": value_schema, - } - else: - dict_schema = { - "properties": dict.fromkeys(enum_values, value_schema), - "additionalProperties": False, - } - else: - dict_schema = {"additionalProperties": value_schema} - - schema = {"type": "object"} - schema.update(dict_schema) - return schema - elif origin_type is set: - (set_type,) = typing.get_args(typ) # unpack single tuple element - return { - "type": "array", - "items": self.type_to_schema(set_type), - "uniqueItems": True, - } - elif origin_type is tuple: - args = typing.get_args(typ) - return { - "type": "array", - "minItems": len(args), - "maxItems": len(args), - "prefixItems": [self.type_to_schema(member_type) for member_type in args], - } - elif origin_type in (Union, types.UnionType): - discriminator = None - if typing.get_origin(data_type) is Annotated: - discriminator = typing.get_args(data_type)[1].discriminator - ret: Schema = {"oneOf": [self.type_to_schema(union_type) for union_type in typing.get_args(typ)]} - if discriminator: - # for each union type, we need to read the value of the discriminator - mapping: dict[str, JsonType] = {} - for union_type in typing.get_args(typ): - props = self.type_to_schema(union_type, force_expand=True)["properties"] - # mypy is confused here because JsonType allows multiple types, some of them - # not indexable (bool?) or not indexable by string (list?). The correctness of - # types depends on correct model definitions. Hence multiple ignore statements below. - discriminator_value = props[discriminator]["default"] # type: ignore[index,call-overload] - mapping[discriminator_value] = self.type_to_schema(union_type)["$ref"] # type: ignore[index] - - ret["discriminator"] = { - "propertyName": discriminator, - "mapping": mapping, - } - return ret - elif origin_type is Literal: - literal_args = typing.get_args(typ) - if len(literal_args) == 1: - (literal_value,) = literal_args - schema = self.type_to_schema(type(literal_value)) - schema["const"] = literal_value - return schema - elif len(literal_args) > 1: - first_value = literal_args[0] - schema = self.type_to_schema(type(first_value)) - schema["enum"] = list(literal_args) - return schema - else: - return {"enum": []} - elif origin_type is type: - (concrete_type,) = typing.get_args(typ) # unpack single tuple element - return {"const": self.type_to_schema(concrete_type, force_expand=True)} - elif origin_type is collections.abc.AsyncIterator: - (concrete_type,) = typing.get_args(typ) - return self.type_to_schema(concrete_type) - - # dictionary of class attributes - members = dict(inspect.getmembers(typ, lambda a: not inspect.isroutine(a))) - - property_docstrings = get_class_property_docstrings(typ, self.options.property_description_fun) - properties: dict[str, Schema] = {} - required: list[str] = [] - for property_name, property_type in get_class_properties(typ): - # rename property if an alias name is specified - alias = get_annotation(property_type, Alias) - if alias: - output_name = alias.name - else: - output_name = property_name - - defaults = {} - json_schema_extra = None - if "model_fields" in members: - f = members["model_fields"] - defaults = {k: finfo.default for k, finfo in f.items()} - if output_name in f: - finfo = f[output_name] - json_schema_extra = finfo.json_schema_extra or {} - if finfo.deprecated: - json_schema_extra["deprecated"] = True - - if is_type_optional(property_type): - optional_type: type = unwrap_optional_type(property_type) - property_def = self.type_to_schema(optional_type, json_schema_extra=json_schema_extra) - else: - property_def = self.type_to_schema(property_type, json_schema_extra=json_schema_extra) - required.append(output_name) - - # check if attribute has a default value initializer - if defaults.get(property_name) is not None: - def_value = defaults[property_name] - # check if value can be directly represented in JSON - if isinstance( - def_value, - ( - bool, - int, - float, - str, - enum.Enum, - datetime.datetime, - datetime.date, - datetime.time, - ), - ): - property_def["default"] = object_to_json(def_value) - - # add property docstring if available - property_doc = property_docstrings.get(property_name) - if property_doc: - # print(output_name, property_doc) - property_def.pop("title", None) - property_def["description"] = property_doc - - properties[output_name] = property_def - - schema = {"type": "object"} - if len(properties) > 0: - schema["properties"] = typing.cast(JsonType, properties) - schema["additionalProperties"] = False - if len(required) > 0: - schema["required"] = typing.cast(JsonType, required) - if self.options.use_descriptions: - schema.update(docstring_to_schema(typ)) - return schema - - def _type_to_schema_with_lookup(self, data_type: TypeLike) -> Schema: - """ - Returns the JSON schema associated with a type that may be registered in the catalog of known types. - - :param data_type: The type whose JSON schema we seek. - :returns: The JSON schema associated with the type. - """ - - entry = JsonSchemaGenerator.type_catalog.get(data_type) - if entry.schema is None: - type_schema = self.type_to_schema(data_type, force_expand=True) - else: - type_schema = deepcopy(entry.schema) - - # add descriptive text (if present) - if self.options.use_descriptions: - if isinstance(data_type, type) and not isinstance(data_type, typing.ForwardRef): - type_schema.update(docstring_to_schema(data_type)) - - # add example (if present) - if self.options.use_examples and entry.examples: - type_schema["examples"] = entry.examples - - return type_schema - - def classdef_to_schema(self, data_type: TypeLike, force_expand: bool = False) -> tuple[Schema, dict[str, Schema]]: - """ - Returns the JSON schema associated with a type and any nested types. - - :param data_type: The type whose JSON schema to return. - :param force_expand: True if a full JSON schema is to be returned even for well-known types; false if a schema - reference is to be used for well-known types. - :returns: A tuple of the JSON schema, and a mapping between nested type names and their corresponding schema. - """ - - if not is_type_like(data_type): - raise TypeError(f"expected a type-like object but got: {data_type}") - - self.types_used = {} - try: - type_schema = self.type_to_schema(data_type, force_expand=force_expand) - - types_defined: dict[str, Schema] = {} - while len(self.types_used) > len(types_defined): - # make a snapshot copy; original collection is going to be modified - types_undefined = { - sub_name: sub_type - for sub_name, sub_type in self.types_used.items() - if sub_name not in types_defined - } - - # expand undefined types, which may lead to additional types to be defined - for sub_name, sub_type in types_undefined.items(): - types_defined[sub_name] = self._type_to_schema_with_lookup(sub_type) - - type_definitions = dict(sorted(types_defined.items())) - finally: - self.types_used = {} - - return type_schema, type_definitions - - -class Validator(enum.Enum): - "Defines constants for JSON schema standards." - - Draft7 = jsonschema.Draft7Validator - Draft201909 = jsonschema.Draft201909Validator - Draft202012 = jsonschema.Draft202012Validator - Latest = jsonschema.Draft202012Validator - - -def classdef_to_schema( - data_type: TypeLike, - options: SchemaOptions | None = None, - validator: Validator = Validator.Latest, -) -> Schema: - """ - Returns the JSON schema corresponding to the given type. - - :param data_type: The Python type used to generate the JSON schema - :returns: A JSON object that you can serialize to a JSON string with json.dump or json.dumps - :raises TypeError: Indicates that the generated JSON schema does not validate against the desired meta-schema. - """ - - # short-circuit with an error message when passing invalid data - if not is_type_like(data_type): - raise TypeError(f"expected a type-like object but got: {data_type}") - - generator = JsonSchemaGenerator(options) - type_schema, type_definitions = generator.classdef_to_schema(data_type) - - class_schema: Schema = {} - if type_definitions: - class_schema["definitions"] = typing.cast(JsonType, type_definitions) - class_schema.update(type_schema) - - validator_id = validator.value.META_SCHEMA["$id"] - try: - validator.value.check_schema(class_schema) - except jsonschema.exceptions.SchemaError: - raise TypeError(f"schema does not validate against meta-schema <{validator_id}>") - - schema = {"$schema": validator_id} - schema.update(class_schema) - return schema - - -def validate_object(data_type: TypeLike, json_dict: JsonType) -> None: - """ - Validates if the JSON dictionary object conforms to the expected type. - - :param data_type: The type to match against. - :param json_dict: A JSON object obtained with `json.load` or `json.loads`. - :raises jsonschema.exceptions.ValidationError: Indicates that the JSON object cannot represent the type. - """ - - schema_dict = classdef_to_schema(data_type) - jsonschema.validate(json_dict, schema_dict, format_checker=jsonschema.FormatChecker()) - - -def print_schema(data_type: type) -> None: - """Pretty-prints the JSON schema corresponding to the type.""" - - s = classdef_to_schema(data_type) - print(json.dumps(s, indent=4)) - - -def get_schema_identifier(data_type: type) -> str | None: - if data_type in JsonSchemaGenerator.type_catalog: - return JsonSchemaGenerator.type_catalog.get(data_type).identifier - else: - return None - - -def register_schema( - data_type: T, - schema: Schema | None = None, - name: str | None = None, - examples: list[JsonType] | None = None, -) -> T: - """ - Associates a type with a JSON schema definition. - - :param data_type: The type to associate with a JSON schema. - :param schema: The schema to associate the type with. Derived automatically if omitted. - :param name: The name used for looking uo the type. Determined automatically if omitted. - :returns: The input type. - """ - - JsonSchemaGenerator.type_catalog.add( - data_type, - schema, - name if name is not None else python_type_to_name(data_type), - examples, - ) - return data_type - - -@overload -def json_schema_type(cls: type[T], /) -> type[T]: ... - - -@overload -def json_schema_type(cls: None, *, schema: Schema | None = None) -> Callable[[type[T]], type[T]]: ... - - -def json_schema_type( - cls: type[T] | None = None, - *, - schema: Schema | None = None, - examples: list[JsonType] | None = None, -) -> type[T] | Callable[[type[T]], type[T]]: - """Decorator to add user-defined schema definition to a class.""" - - def wrap(cls: type[T]) -> type[T]: - return register_schema(cls, schema, examples=examples) - - # see if decorator is used as @json_schema_type or @json_schema_type() - if cls is None: - # called with parentheses - return wrap - else: - # called as @json_schema_type without parentheses - return wrap(cls) - - -register_schema(JsonObject, name="JsonObject") -register_schema(JsonArray, name="JsonArray") - -register_schema( - JsonType, - name="JsonType", - examples=[ - { - "property1": None, - "property2": True, - "property3": 64, - "property4": "string", - "property5": ["item"], - "property6": {"key": "value"}, - } - ], -) -register_schema( - StrictJsonType, - name="StrictJsonType", - examples=[ - { - "property1": True, - "property2": 64, - "property3": "string", - "property4": ["item"], - "property5": {"key": "value"}, - } - ], -) diff --git a/src/llama_stack_api/strong_typing/serialization.py b/src/llama_stack_api/strong_typing/serialization.py deleted file mode 100644 index 3e34945ad..000000000 --- a/src/llama_stack_api/strong_typing/serialization.py +++ /dev/null @@ -1,97 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -""" -Type-safe data interchange for Python data classes. - -:see: https://github.com/hunyadi/strong_typing -""" - -import inspect -import json -import sys -from types import ModuleType -from typing import Any, TextIO, TypeVar - -from .core import JsonType -from .deserializer import create_deserializer -from .inspection import TypeLike -from .serializer import create_serializer - -T = TypeVar("T") - - -def object_to_json(obj: Any) -> JsonType: - """ - Converts a Python object to a representation that can be exported to JSON. - - * Fundamental types (e.g. numeric types) are written as is. - * Date and time types are serialized in the ISO 8601 format with time zone. - * A byte array is written as a string with Base64 encoding. - * UUIDs are written as a UUID string. - * Enumerations are written as their value. - * Containers (e.g. `list`, `dict`, `set`, `tuple`) are exported recursively. - * Objects with properties (including data class types) are converted to a dictionaries of key-value pairs. - """ - - typ: type = type(obj) - generator = create_serializer(typ) - return generator.generate(obj) - - -def json_to_object(typ: TypeLike, data: JsonType, *, context: ModuleType | None = None) -> object: - """ - Creates an object from a representation that has been de-serialized from JSON. - - When de-serializing a JSON object into a Python object, the following transformations are applied: - - * Fundamental types are parsed as `bool`, `int`, `float` or `str`. - * Date and time types are parsed from the ISO 8601 format with time zone into the corresponding Python type - `datetime`, `date` or `time` - * A byte array is read from a string with Base64 encoding into a `bytes` instance. - * UUIDs are extracted from a UUID string into a `uuid.UUID` instance. - * Enumerations are instantiated with a lookup on enumeration value. - * Containers (e.g. `list`, `dict`, `set`, `tuple`) are parsed recursively. - * Complex objects with properties (including data class types) are populated from dictionaries of key-value pairs - using reflection (enumerating type annotations). - - :raises TypeError: A de-serializing engine cannot be constructed for the input type. - :raises JsonKeyError: Deserialization for a class or union type has failed because a matching member was not found. - :raises JsonTypeError: Deserialization for data has failed due to a type mismatch. - """ - - # use caller context for evaluating types if no context is supplied - if context is None: - this_frame = inspect.currentframe() - if this_frame is not None: - caller_frame = this_frame.f_back - del this_frame - - if caller_frame is not None: - try: - context = sys.modules[caller_frame.f_globals["__name__"]] - finally: - del caller_frame - - parser = create_deserializer(typ, context) - return parser.parse(data) - - -def json_dump_string(json_object: JsonType) -> str: - "Dump an object as a JSON string with a compact representation." - - return json.dumps(json_object, ensure_ascii=False, check_circular=False, separators=(",", ":")) - - -def json_dump(json_object: JsonType, file: TextIO) -> None: - json.dump( - json_object, - file, - ensure_ascii=False, - check_circular=False, - separators=(",", ":"), - ) - file.write("\n") diff --git a/src/llama_stack_api/strong_typing/serializer.py b/src/llama_stack_api/strong_typing/serializer.py deleted file mode 100644 index 4a12a1f4b..000000000 --- a/src/llama_stack_api/strong_typing/serializer.py +++ /dev/null @@ -1,494 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -""" -Type-safe data interchange for Python data classes. - -:see: https://github.com/hunyadi/strong_typing -""" - -import abc -import base64 -import datetime -import enum -import functools -import inspect -import ipaddress -import sys -import typing -import uuid -from collections.abc import Callable -from types import FunctionType, MethodType, ModuleType -from typing import ( - Any, - Generic, - Literal, - NamedTuple, - TypeVar, - Union, -) - -from .core import JsonType -from .exception import JsonTypeError, JsonValueError -from .inspection import ( - TypeLike, - enum_value_types, - evaluate_type, - get_class_properties, - get_resolved_hints, - is_dataclass_type, - is_named_tuple_type, - is_reserved_property, - is_type_annotated, - is_type_enum, - unwrap_annotated_type, -) -from .mapping import python_field_to_json_property - -T = TypeVar("T") - - -class Serializer(abc.ABC, Generic[T]): - @abc.abstractmethod - def generate(self, data: T) -> JsonType: ... - - -class NoneSerializer(Serializer[None]): - def generate(self, data: None) -> None: - # can be directly represented in JSON - return None - - -class BoolSerializer(Serializer[bool]): - def generate(self, data: bool) -> bool: - # can be directly represented in JSON - return data - - -class IntSerializer(Serializer[int]): - def generate(self, data: int) -> int: - # can be directly represented in JSON - return data - - -class FloatSerializer(Serializer[float]): - def generate(self, data: float) -> float: - # can be directly represented in JSON - return data - - -class StringSerializer(Serializer[str]): - def generate(self, data: str) -> str: - # can be directly represented in JSON - return data - - -class BytesSerializer(Serializer[bytes]): - def generate(self, data: bytes) -> str: - return base64.b64encode(data).decode("ascii") - - -class DateTimeSerializer(Serializer[datetime.datetime]): - def generate(self, obj: datetime.datetime) -> str: - if obj.tzinfo is None: - raise JsonValueError(f"timestamp lacks explicit time zone designator: {obj}") - fmt = obj.isoformat() - if fmt.endswith("+00:00"): - fmt = f"{fmt[:-6]}Z" # Python's isoformat() does not support military time zones like "Zulu" for UTC - return fmt - - -class DateSerializer(Serializer[datetime.date]): - def generate(self, obj: datetime.date) -> str: - return obj.isoformat() - - -class TimeSerializer(Serializer[datetime.time]): - def generate(self, obj: datetime.time) -> str: - return obj.isoformat() - - -class UUIDSerializer(Serializer[uuid.UUID]): - def generate(self, obj: uuid.UUID) -> str: - return str(obj) - - -class IPv4Serializer(Serializer[ipaddress.IPv4Address]): - def generate(self, obj: ipaddress.IPv4Address) -> str: - return str(obj) - - -class IPv6Serializer(Serializer[ipaddress.IPv6Address]): - def generate(self, obj: ipaddress.IPv6Address) -> str: - return str(obj) - - -class EnumSerializer(Serializer[enum.Enum]): - def generate(self, obj: enum.Enum) -> int | str: - value = obj.value - if isinstance(value, int): - return value - return str(value) - - -class UntypedListSerializer(Serializer[list]): - def generate(self, obj: list) -> list[JsonType]: - return [object_to_json(item) for item in obj] - - -class UntypedDictSerializer(Serializer[dict]): - def generate(self, obj: dict) -> dict[str, JsonType]: - if obj and isinstance(next(iter(obj.keys())), enum.Enum): - iterator = ((key.value, object_to_json(value)) for key, value in obj.items()) - else: - iterator = ((str(key), object_to_json(value)) for key, value in obj.items()) - return dict(iterator) - - -class UntypedSetSerializer(Serializer[set]): - def generate(self, obj: set) -> list[JsonType]: - return [object_to_json(item) for item in obj] - - -class UntypedTupleSerializer(Serializer[tuple]): - def generate(self, obj: tuple) -> list[JsonType]: - return [object_to_json(item) for item in obj] - - -class TypedCollectionSerializer(Serializer, Generic[T]): - generator: Serializer[T] - - def __init__(self, item_type: type[T], context: ModuleType | None) -> None: - self.generator = _get_serializer(item_type, context) - - -class TypedListSerializer(TypedCollectionSerializer[T]): - def generate(self, obj: list[T]) -> list[JsonType]: - return [self.generator.generate(item) for item in obj] - - -class TypedStringDictSerializer(TypedCollectionSerializer[T]): - def __init__(self, value_type: type[T], context: ModuleType | None) -> None: - super().__init__(value_type, context) - - def generate(self, obj: dict[str, T]) -> dict[str, JsonType]: - return {key: self.generator.generate(value) for key, value in obj.items()} - - -class TypedEnumDictSerializer(TypedCollectionSerializer[T]): - def __init__( - self, - key_type: type[enum.Enum], - value_type: type[T], - context: ModuleType | None, - ) -> None: - super().__init__(value_type, context) - - value_types = enum_value_types(key_type) - if len(value_types) != 1: - raise JsonTypeError( - f"invalid key type, enumerations must have a consistent member value type but several types found: {value_types}" - ) - - value_type = value_types.pop() - if value_type is not str: - raise JsonTypeError("invalid enumeration key type, expected `enum.Enum` with string values") - - def generate(self, obj: dict[enum.Enum, T]) -> dict[str, JsonType]: - return {key.value: self.generator.generate(value) for key, value in obj.items()} - - -class TypedSetSerializer(TypedCollectionSerializer[T]): - def generate(self, obj: set[T]) -> JsonType: - return [self.generator.generate(item) for item in obj] - - -class TypedTupleSerializer(Serializer[tuple]): - item_generators: tuple[Serializer, ...] - - def __init__(self, item_types: tuple[type, ...], context: ModuleType | None) -> None: - self.item_generators = tuple(_get_serializer(item_type, context) for item_type in item_types) - - def generate(self, obj: tuple) -> list[JsonType]: - return [item_generator.generate(item) for item_generator, item in zip(self.item_generators, obj, strict=False)] - - -class CustomSerializer(Serializer): - converter: Callable[[object], JsonType] - - def __init__(self, converter: Callable[[object], JsonType]) -> None: - self.converter = converter - - def generate(self, obj: object) -> JsonType: - return self.converter(obj) - - -class FieldSerializer(Generic[T]): - """ - Serializes a Python object field into a JSON property. - - :param field_name: The name of the field in a Python class to read data from. - :param property_name: The name of the JSON property to write to a JSON `object`. - :param generator: A compatible serializer that can handle the field's type. - """ - - field_name: str - property_name: str - generator: Serializer - - def __init__(self, field_name: str, property_name: str, generator: Serializer[T]) -> None: - self.field_name = field_name - self.property_name = property_name - self.generator = generator - - def generate_field(self, obj: object, object_dict: dict[str, JsonType]) -> None: - value = getattr(obj, self.field_name) - if value is not None: - object_dict[self.property_name] = self.generator.generate(value) - - -class TypedClassSerializer(Serializer[T]): - property_generators: list[FieldSerializer] - - def __init__(self, class_type: type[T], context: ModuleType | None) -> None: - self.property_generators = [ - FieldSerializer( - field_name, - python_field_to_json_property(field_name, field_type), - _get_serializer(field_type, context), - ) - for field_name, field_type in get_class_properties(class_type) - ] - - def generate(self, obj: T) -> dict[str, JsonType]: - object_dict: dict[str, JsonType] = {} - for property_generator in self.property_generators: - property_generator.generate_field(obj, object_dict) - - return object_dict - - -class TypedNamedTupleSerializer(TypedClassSerializer[NamedTuple]): - def __init__(self, class_type: type[NamedTuple], context: ModuleType | None) -> None: - super().__init__(class_type, context) - - -class DataclassSerializer(TypedClassSerializer[T]): - def __init__(self, class_type: type[T], context: ModuleType | None) -> None: - super().__init__(class_type, context) - - -class UnionSerializer(Serializer): - def generate(self, obj: Any) -> JsonType: - return object_to_json(obj) - - -class LiteralSerializer(Serializer): - generator: Serializer - - def __init__(self, values: tuple[Any, ...], context: ModuleType | None) -> None: - literal_type_tuple = tuple(type(value) for value in values) - literal_type_set = set(literal_type_tuple) - if len(literal_type_set) != 1: - value_names = ", ".join(repr(value) for value in values) - raise TypeError( - f"type `Literal[{value_names}]` expects consistent literal value types but got: {literal_type_tuple}" - ) - - literal_type = literal_type_set.pop() - self.generator = _get_serializer(literal_type, context) - - def generate(self, obj: Any) -> JsonType: - return self.generator.generate(obj) - - -class UntypedNamedTupleSerializer(Serializer): - fields: dict[str, str] - - def __init__(self, class_type: type[NamedTuple]) -> None: - # named tuples are also instances of tuple - self.fields = {} - field_names: tuple[str, ...] = class_type._fields - for field_name in field_names: - self.fields[field_name] = python_field_to_json_property(field_name) - - def generate(self, obj: NamedTuple) -> JsonType: - object_dict = {} - for field_name, property_name in self.fields.items(): - value = getattr(obj, field_name) - object_dict[property_name] = object_to_json(value) - - return object_dict - - -class UntypedClassSerializer(Serializer): - def generate(self, obj: object) -> JsonType: - # iterate over object attributes to get a standard representation - object_dict = {} - for name in dir(obj): - if is_reserved_property(name): - continue - - value = getattr(obj, name) - if value is None: - continue - - # filter instance methods - if inspect.ismethod(value): - continue - - object_dict[python_field_to_json_property(name)] = object_to_json(value) - - return object_dict - - -def create_serializer(typ: TypeLike, context: ModuleType | None = None) -> Serializer: - """ - Creates a serializer engine to produce an object that can be directly converted into a JSON string. - - When serializing a Python object into a JSON object, the following transformations are applied: - - * Fundamental types (`bool`, `int`, `float` or `str`) are returned as-is. - * Date and time types (`datetime`, `date` or `time`) produce an ISO 8601 format string with time zone - (ending with `Z` for UTC). - * Byte arrays (`bytes`) are written as a string with Base64 encoding. - * UUIDs (`uuid.UUID`) are written as a UUID string as per RFC 4122. - * Enumerations yield their enumeration value. - * Containers (e.g. `list`, `dict`, `set`, `tuple`) are processed recursively. - * Complex objects with properties (including data class types) generate dictionaries of key-value pairs. - - :raises TypeError: A serializer engine cannot be constructed for the input type. - """ - - if context is None: - if isinstance(typ, type): - context = sys.modules[typ.__module__] - - return _get_serializer(typ, context) - - -def _get_serializer(typ: TypeLike, context: ModuleType | None) -> Serializer: - if isinstance(typ, (str, typing.ForwardRef)): - if context is None: - raise TypeError(f"missing context for evaluating type: {typ}") - - typ = evaluate_type(typ, context) - - if isinstance(typ, type): - return _fetch_serializer(typ) - else: - # special forms are not always hashable - return _create_serializer(typ, context) - - -@functools.cache -def _fetch_serializer(typ: type) -> Serializer: - context = sys.modules[typ.__module__] - return _create_serializer(typ, context) - - -def _create_serializer(typ: TypeLike, context: ModuleType | None) -> Serializer: - # check for well-known types - if typ is type(None): - return NoneSerializer() - elif typ is bool: - return BoolSerializer() - elif typ is int: - return IntSerializer() - elif typ is float: - return FloatSerializer() - elif typ is str: - return StringSerializer() - elif typ is bytes: - return BytesSerializer() - elif typ is datetime.datetime: - return DateTimeSerializer() - elif typ is datetime.date: - return DateSerializer() - elif typ is datetime.time: - return TimeSerializer() - elif typ is uuid.UUID: - return UUIDSerializer() - elif typ is ipaddress.IPv4Address: - return IPv4Serializer() - elif typ is ipaddress.IPv6Address: - return IPv6Serializer() - - # dynamically-typed collection types - if typ is list: - return UntypedListSerializer() - elif typ is dict: - return UntypedDictSerializer() - elif typ is set: - return UntypedSetSerializer() - elif typ is tuple: - return UntypedTupleSerializer() - - # generic types (e.g. list, dict, set, etc.) - origin_type = typing.get_origin(typ) - if origin_type is list: - (list_item_type,) = typing.get_args(typ) # unpack single tuple element - return TypedListSerializer(list_item_type, context) - elif origin_type is dict: - key_type, value_type = typing.get_args(typ) - if key_type is str: - return TypedStringDictSerializer(value_type, context) - elif issubclass(key_type, enum.Enum): - return TypedEnumDictSerializer(key_type, value_type, context) - elif origin_type is set: - (set_member_type,) = typing.get_args(typ) # unpack single tuple element - return TypedSetSerializer(set_member_type, context) - elif origin_type is tuple: - return TypedTupleSerializer(typing.get_args(typ), context) - elif origin_type is Union: - return UnionSerializer() - elif origin_type is Literal: - return LiteralSerializer(typing.get_args(typ), context) - - if is_type_annotated(typ): - return create_serializer(unwrap_annotated_type(typ)) - - # check if object has custom serialization method - convert_func = getattr(typ, "to_json", None) - if callable(convert_func): - return CustomSerializer(convert_func) - - if is_type_enum(typ): - return EnumSerializer() - if is_dataclass_type(typ): - return DataclassSerializer(typ, context) - if is_named_tuple_type(typ): - if getattr(typ, "__annotations__", None): - return TypedNamedTupleSerializer(typ, context) - else: - return UntypedNamedTupleSerializer(typ) - - # fail early if caller passes an object with an exotic type - if not isinstance(typ, type) or typ is FunctionType or typ is MethodType or typ is type or typ is ModuleType: - raise TypeError(f"object of type {typ} cannot be represented in JSON") - - if get_resolved_hints(typ): - return TypedClassSerializer(typ, context) - else: - return UntypedClassSerializer() - - -def object_to_json(obj: Any) -> JsonType: - """ - Converts a Python object to a representation that can be exported to JSON. - - * Fundamental types (e.g. numeric types) are written as is. - * Date and time types are serialized in the ISO 8601 format with time zone. - * A byte array is written as a string with Base64 encoding. - * UUIDs are written as a UUID string. - * Enumerations are written as their value. - * Containers (e.g. `list`, `dict`, `set`, `tuple`) are exported recursively. - * Objects with properties (including data class types) are converted to a dictionaries of key-value pairs. - """ - - typ: type = type(obj) - generator = create_serializer(typ) - return generator.generate(obj) diff --git a/src/llama_stack_api/strong_typing/slots.py b/src/llama_stack_api/strong_typing/slots.py deleted file mode 100644 index 772834140..000000000 --- a/src/llama_stack_api/strong_typing/slots.py +++ /dev/null @@ -1,27 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -from typing import Any, TypeVar - -T = TypeVar("T") - - -class SlotsMeta(type): - def __new__(cls: type[T], name: str, bases: tuple[type, ...], ns: dict[str, Any]) -> T: - # caller may have already provided slots, in which case just retain them and keep going - slots: tuple[str, ...] = ns.get("__slots__", ()) - - # add fields with type annotations to slots - annotations: dict[str, Any] = ns.get("__annotations__", {}) - members = tuple(member for member in annotations.keys() if member not in slots) - - # assign slots - ns["__slots__"] = slots + tuple(members) - return super().__new__(cls, name, bases, ns) # type: ignore - - -class Slots(metaclass=SlotsMeta): - pass diff --git a/src/llama_stack_api/strong_typing/topological.py b/src/llama_stack_api/strong_typing/topological.py deleted file mode 100644 index 9502a5887..000000000 --- a/src/llama_stack_api/strong_typing/topological.py +++ /dev/null @@ -1,90 +0,0 @@ -# Copyright (c) Meta Platforms, Inc. and affiliates. -# All rights reserved. -# -# This source code is licensed under the terms described in the LICENSE file in -# the root directory of this source tree. - -""" -Type-safe data interchange for Python data classes. - -:see: https://github.com/hunyadi/strong_typing -""" - -from collections.abc import Callable, Iterable -from typing import TypeVar - -from .inspection import TypeCollector - -T = TypeVar("T") - - -def topological_sort(graph: dict[T, set[T]]) -> list[T]: - """ - Performs a topological sort of a graph. - - Nodes with no outgoing edges are first. Nodes with no incoming edges are last. - The topological ordering is not unique. - - :param graph: A dictionary of mappings from nodes to adjacent nodes. Keys and set members must be hashable. - :returns: The list of nodes in topological order. - """ - - # empty list that will contain the sorted nodes (in reverse order) - ordered: list[T] = [] - - seen: dict[T, bool] = {} - - def _visit(n: T) -> None: - status = seen.get(n) - if status is not None: - if status: # node has a permanent mark - return - else: # node has a temporary mark - raise RuntimeError(f"cycle detected in graph for node {n}") - - seen[n] = False # apply temporary mark - for m in graph[n]: # visit all adjacent nodes - if m != n: # ignore self-referencing nodes - _visit(m) - - seen[n] = True # apply permanent mark - ordered.append(n) - - for n in graph.keys(): - _visit(n) - - return ordered - - -def type_topological_sort( - types: Iterable[type], - dependency_fn: Callable[[type], Iterable[type]] | None = None, -) -> list[type]: - """ - Performs a topological sort of a list of types. - - Types that don't depend on other types (i.e. fundamental types) are first. Types on which no other types depend - are last. The topological ordering is not unique. - - :param types: A list of types (simple or composite). - :param dependency_fn: Returns a list of additional dependencies for a class (e.g. classes referenced by a foreign key). - :returns: The list of types in topological order. - """ - - if not all(isinstance(typ, type) for typ in types): - raise TypeError("expected a list of types") - - collector = TypeCollector() - collector.traverse_all(types) - graph = collector.graph - - if dependency_fn: - new_types: set[type] = set() - for source_type, references in graph.items(): - dependent_types = dependency_fn(source_type) - references.update(dependent_types) - new_types.update(dependent_types) - for new_type in new_types: - graph[new_type] = set() - - return topological_sort(graph) diff --git a/src/llama_stack_api/tools.py b/src/llama_stack_api/tools.py index 6571c2047..ad5edb2b0 100644 --- a/src/llama_stack_api/tools.py +++ b/src/llama_stack_api/tools.py @@ -97,6 +97,7 @@ class ListToolGroupsResponse(BaseModel): data: list[ToolGroup] +@json_schema_type class ListToolDefsResponse(BaseModel): """Response containing a list of tool definitions. diff --git a/src/llama_stack_api/vector_io.py b/src/llama_stack_api/vector_io.py index 053e569f4..899b07798 100644 --- a/src/llama_stack_api/vector_io.py +++ b/src/llama_stack_api/vector_io.py @@ -15,8 +15,7 @@ from pydantic import BaseModel, Field from llama_stack_api.common.tracing import telemetry_traceable from llama_stack_api.inference import InterleavedContent -from llama_stack_api.schema_utils import json_schema_type, webmethod -from llama_stack_api.strong_typing.schema import register_schema +from llama_stack_api.schema_utils import json_schema_type, register_schema, webmethod from llama_stack_api.vector_stores import VectorStore from llama_stack_api.version import LLAMA_STACK_API_V1 diff --git a/uv.lock b/uv.lock index 0b8b555f6..2dddcb1c8 100644 --- a/uv.lock +++ b/uv.lock @@ -1824,6 +1824,21 @@ wheels = [ { url 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