openapi: 3.1.0
info:
  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.

        **⚠️ 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:
  /v1/models:
    post:
      responses:
        '200':
          description: A Model.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Model'
        '400':
          $ref: '#/components/responses/BadRequest400'
        '429':
          $ref: >-
            #/components/responses/TooManyRequests429
        '500':
          $ref: >-
            #/components/responses/InternalServerError500
        default:
          $ref: '#/components/responses/DefaultError'
      tags:
        - Models
      summary: Register model.
      description: >-
        Register model.

        Register a model.
      parameters: []
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/RegisterModelRequest'
        required: true
      deprecated: true
  /v1/models/{model_id}:
    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:
        - Models
      summary: Unregister model.
      description: >-
        Unregister model.

        Unregister a model.
      parameters:
        - name: model_id
          in: path
          description: >-
            The identifier of the model to unregister.
          required: true
          schema:
            type: string
      deprecated: true
  /v1/scoring-functions:
    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:
        - ScoringFunctions
      summary: Register a scoring function.
      description: Register a scoring function.
      parameters: []
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/RegisterScoringFunctionRequest'
        required: true
      deprecated: true
  /v1/scoring-functions/{scoring_fn_id}:
    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:
        - ScoringFunctions
      summary: Unregister a scoring function.
      description: Unregister a scoring function.
      parameters:
        - name: scoring_fn_id
          in: path
          description: >-
            The ID of the scoring function to unregister.
          required: true
          schema:
            type: string
      deprecated: true
  /v1/shields:
    post:
      responses:
        '200':
          description: A Shield.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Shield'
        '400':
          $ref: '#/components/responses/BadRequest400'
        '429':
          $ref: >-
            #/components/responses/TooManyRequests429
        '500':
          $ref: >-
            #/components/responses/InternalServerError500
        default:
          $ref: '#/components/responses/DefaultError'
      tags:
        - Shields
      summary: Register a shield.
      description: Register a shield.
      parameters: []
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/RegisterShieldRequest'
        required: true
      deprecated: true
  /v1/shields/{identifier}:
    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:
        - Shields
      summary: Unregister a shield.
      description: Unregister a shield.
      parameters:
        - name: identifier
          in: path
          description: >-
            The identifier of the shield to unregister.
          required: true
          schema:
            type: string
      deprecated: true
  /v1/toolgroups:
    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:
        - ToolGroups
      summary: Register a tool group.
      description: Register a tool group.
      parameters: []
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/RegisterToolGroupRequest'
        required: true
      deprecated: true
  /v1/toolgroups/{toolgroup_id}:
    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:
        - ToolGroups
      summary: Unregister a tool group.
      description: Unregister a tool group.
      parameters:
        - name: toolgroup_id
          in: path
          description: The ID of the tool group to unregister.
          required: true
          schema:
            type: string
      deprecated: true
  /v1beta/datasets:
    post:
      responses:
        '200':
          description: A Dataset.
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/Dataset'
        '400':
          $ref: '#/components/responses/BadRequest400'
        '429':
          $ref: >-
            #/components/responses/TooManyRequests429
        '500':
          $ref: >-
            #/components/responses/InternalServerError500
        default:
          $ref: '#/components/responses/DefaultError'
      tags:
        - Datasets
      summary: Register a new dataset.
      description: Register a new dataset.
      parameters: []
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/RegisterDatasetRequest'
        required: true
      deprecated: true
  /v1beta/datasets/{dataset_id}:
    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:
        - Datasets
      summary: Unregister a dataset by its ID.
      description: Unregister a dataset by its ID.
      parameters:
        - name: dataset_id
          in: path
          description: The ID of the dataset to unregister.
          required: true
          schema:
            type: string
      deprecated: true
  /v1alpha/eval/benchmarks:
    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.
      description: Register a benchmark.
      parameters: []
      requestBody:
        content:
          application/json:
            schema:
              $ref: '#/components/schemas/RegisterBenchmarkRequest'
        required: true
      deprecated: true
  /v1alpha/eval/benchmarks/{benchmark_id}:
    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:
        - Benchmarks
      summary: Unregister a benchmark.
      description: Unregister a benchmark.
      parameters:
        - name: benchmark_id
          in: path
          description: The ID of the benchmark to unregister.
          required: true
          schema:
            type: string
      deprecated: true
jsonSchemaDialect: >-
  https://json-schema.org/draft/2020-12/schema
components:
  schemas:
    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
          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
          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-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.
    ModelType:
      type: string
      enum:
        - llm
        - embedding
        - rerank
      title: ModelType
      description: >-
        Enumeration of supported model types in Llama Stack.
    RegisterModelRequest:
      type: object
      properties:
        model_id:
          type: string
          description: The identifier of the model to register.
        provider_model_id:
          type: string
          description: >-
            The identifier of the model in the provider.
        provider_id:
          type: string
          description: The identifier of the provider.
        metadata:
          type: object
          additionalProperties:
            oneOf:
              - type: 'null'
              - type: boolean
              - type: number
              - type: string
              - type: array
              - type: object
          description: Any additional metadata for this model.
        model_type:
          $ref: '#/components/schemas/ModelType'
          description: The type of model to register.
      additionalProperties: false
      required:
        - model_id
      title: RegisterModelRequest
    Model:
      type: object
      properties:
        identifier:
          type: string
          description: >-
            Unique identifier for this resource in llama stack
        provider_resource_id:
          type: string
          description: >-
            Unique identifier for this resource in the provider
        provider_id:
          type: string
          description: >-
            ID of the provider that owns this resource
        type:
          type: string
          enum:
            - model
            - shield
            - vector_store
            - dataset
            - scoring_function
            - benchmark
            - tool
            - tool_group
            - prompt
          const: model
          default: model
          description: >-
            The resource type, always 'model' for model resources
        metadata:
          type: object
          additionalProperties:
            oneOf:
              - type: 'null'
              - type: boolean
              - type: number
              - type: string
              - type: array
              - type: object
          description: Any additional metadata for this model
        model_type:
          $ref: '#/components/schemas/ModelType'
          default: llm
          description: >-
            The type of model (LLM or embedding model)
      additionalProperties: false
      required:
        - identifier
        - provider_id
        - type
        - metadata
        - model_type
      title: Model
      description: >-
        A model resource representing an AI model registered in Llama Stack.
    AggregationFunctionType:
      type: string
      enum:
        - average
        - weighted_average
        - median
        - categorical_count
        - accuracy
      title: AggregationFunctionType
      description: >-
        Types of aggregation functions for scoring results.
    ArrayType:
      type: object
      properties:
        type:
          type: string
          const: array
          default: array
          description: Discriminator type. Always "array"
      additionalProperties: false
      required:
        - type
      title: ArrayType
      description: Parameter type for array values.
    BasicScoringFnParams:
      type: object
      properties:
        type:
          $ref: '#/components/schemas/ScoringFnParamsType'
          const: basic
          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.
    BooleanType:
      type: object
      properties:
        type:
          type: string
          const: boolean
          default: boolean
          description: Discriminator type. Always "boolean"
      additionalProperties: false
      required:
        - type
      title: BooleanType
      description: Parameter type for boolean values.
    ChatCompletionInputType:
      type: object
      properties:
        type:
          type: string
          const: chat_completion_input
          default: chat_completion_input
          description: >-
            Discriminator type. Always "chat_completion_input"
      additionalProperties: false
      required:
        - type
      title: ChatCompletionInputType
      description: >-
        Parameter type for chat completion input.
    CompletionInputType:
      type: object
      properties:
        type:
          type: string
          const: completion_input
          default: completion_input
          description: >-
            Discriminator type. Always "completion_input"
      additionalProperties: false
      required:
        - type
      title: CompletionInputType
      description: Parameter type for completion input.
    JsonType:
      type: object
      properties:
        type:
          type: string
          const: json
          default: json
          description: Discriminator type. Always "json"
      additionalProperties: false
      required:
        - type
      title: JsonType
      description: Parameter type for JSON values.
    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.
    NumberType:
      type: object
      properties:
        type:
          type: string
          const: number
          default: number
          description: Discriminator type. Always "number"
      additionalProperties: false
      required:
        - type
      title: NumberType
      description: Parameter type for numeric values.
    ObjectType:
      type: object
      properties:
        type:
          type: string
          const: object
          default: object
          description: Discriminator type. Always "object"
      additionalProperties: false
      required:
        - type
      title: ObjectType
      description: Parameter type for object values.
    ParamType:
      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'
      discriminator:
        propertyName: type
        mapping:
          string: '#/components/schemas/StringType'
          number: '#/components/schemas/NumberType'
          boolean: '#/components/schemas/BooleanType'
          array: '#/components/schemas/ArrayType'
          object: '#/components/schemas/ObjectType'
          json: '#/components/schemas/JsonType'
          union: '#/components/schemas/UnionType'
          chat_completion_input: '#/components/schemas/ChatCompletionInputType'
          completion_input: '#/components/schemas/CompletionInputType'
    RegexParserScoringFnParams:
      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.
    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.
    StringType:
      type: object
      properties:
        type:
          type: string
          const: string
          default: string
          description: Discriminator type. Always "string"
      additionalProperties: false
      required:
        - type
      title: StringType
      description: Parameter type for string values.
    UnionType:
      type: object
      properties:
        type:
          type: string
          const: union
          default: union
          description: Discriminator type. Always "union"
      additionalProperties: false
      required:
        - type
      title: UnionType
      description: Parameter type for union values.
    RegisterScoringFunctionRequest:
      type: object
      properties:
        scoring_fn_id:
          type: string
          description: >-
            The ID of the scoring function to register.
        description:
          type: string
          description: The description of the scoring function.
        return_type:
          $ref: '#/components/schemas/ParamType'
          description: The return type of the scoring function.
        provider_scoring_fn_id:
          type: string
          description: >-
            The ID of the provider scoring function to use for the scoring function.
        provider_id:
          type: string
          description: >-
            The ID of the provider to use for the scoring function.
        params:
          $ref: '#/components/schemas/ScoringFnParams'
          description: >-
            The parameters for the scoring function for benchmark eval, these can
            be overridden for app eval.
      additionalProperties: false
      required:
        - scoring_fn_id
        - description
        - return_type
      title: RegisterScoringFunctionRequest
    RegisterShieldRequest:
      type: object
      properties:
        shield_id:
          type: string
          description: >-
            The identifier of the shield to register.
        provider_shield_id:
          type: string
          description: >-
            The identifier of the shield in the provider.
        provider_id:
          type: string
          description: The identifier of the provider.
        params:
          type: object
          additionalProperties:
            oneOf:
              - type: 'null'
              - type: boolean
              - type: number
              - type: string
              - type: array
              - type: object
          description: The parameters of the shield.
      additionalProperties: false
      required:
        - shield_id
      title: RegisterShieldRequest
    Shield:
      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: 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
      required:
        - identifier
        - provider_id
        - type
      title: Shield
      description: >-
        A safety shield resource that can be used to check content.
    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.
    RegisterToolGroupRequest:
      type: object
      properties:
        toolgroup_id:
          type: string
          description: The ID of the tool group to register.
        provider_id:
          type: string
          description: >-
            The ID of the provider to use for the tool group.
        mcp_endpoint:
          $ref: '#/components/schemas/URL'
          description: >-
            The MCP endpoint to use for the tool group.
        args:
          type: object
          additionalProperties:
            oneOf:
              - type: 'null'
              - type: boolean
              - type: number
              - type: string
              - type: array
              - type: object
          description: >-
            A dictionary of arguments to pass to the tool group.
      additionalProperties: false
      required:
        - toolgroup_id
        - provider_id
      title: RegisterToolGroupRequest
    DataSource:
      oneOf:
        - $ref: '#/components/schemas/URIDataSource'
        - $ref: '#/components/schemas/RowsDataSource'
      discriminator:
        propertyName: type
        mapping:
          uri: '#/components/schemas/URIDataSource'
          rows: '#/components/schemas/RowsDataSource'
    RowsDataSource:
      type: object
      properties:
        type:
          type: string
          const: rows
          default: rows
        rows:
          type: array
          items:
            type: object
            additionalProperties:
              oneOf:
                - type: 'null'
                - type: boolean
                - type: number
                - type: string
                - type: array
                - type: object
          description: >-
            The dataset is stored in rows. E.g. - [ {"messages": [{"role": "user",
            "content": "Hello, world!"}, {"role": "assistant", "content": "Hello,
            world!"}]} ]
      additionalProperties: false
      required:
        - type
        - rows
      title: RowsDataSource
      description: A dataset stored in rows.
    URIDataSource:
      type: object
      properties:
        type:
          type: string
          const: uri
          default: uri
        uri:
          type: string
          description: >-
            The dataset can be obtained from a URI. E.g. - "https://mywebsite.com/mydata.jsonl"
            - "lsfs://mydata.jsonl" - "data:csv;base64,{base64_content}"
      additionalProperties: false
      required:
        - type
        - uri
      title: URIDataSource
      description: >-
        A dataset that can be obtained from a URI.
    RegisterDatasetRequest:
      type: object
      properties:
        purpose:
          type: string
          enum:
            - post-training/messages
            - eval/question-answer
            - eval/messages-answer
          description: >-
            The purpose of the dataset. One of: - "post-training/messages": The dataset
            contains a messages column with list of messages for post-training. {
            "messages": [ {"role": "user", "content": "Hello, world!"}, {"role": "assistant",
            "content": "Hello, world!"}, ] } - "eval/question-answer": The dataset
            contains a question column and an answer column for evaluation. { "question":
            "What is the capital of France?", "answer": "Paris" } - "eval/messages-answer":
            The dataset contains a messages column with list of messages and an answer
            column for evaluation. { "messages": [ {"role": "user", "content": "Hello,
            my name is John Doe."}, {"role": "assistant", "content": "Hello, John
            Doe. How can I help you today?"}, {"role": "user", "content": "What's
            my name?"}, ], "answer": "John Doe" }
        source:
          $ref: '#/components/schemas/DataSource'
          description: >-
            The data source of the dataset. Ensure that the data source schema is
            compatible with the purpose of the dataset. Examples: - { "type": "uri",
            "uri": "https://mywebsite.com/mydata.jsonl" } - { "type": "uri", "uri":
            "lsfs://mydata.jsonl" } - { "type": "uri", "uri": "data:csv;base64,{base64_content}"
            } - { "type": "uri", "uri": "huggingface://llamastack/simpleqa?split=train"
            } - { "type": "rows", "rows": [ { "messages": [ {"role": "user", "content":
            "Hello, world!"}, {"role": "assistant", "content": "Hello, world!"}, ]
            } ] }
        metadata:
          type: object
          additionalProperties:
            oneOf:
              - type: 'null'
              - type: boolean
              - type: number
              - type: string
              - type: array
              - type: object
          description: >-
            The metadata for the dataset. - E.g. {"description": "My dataset"}.
        dataset_id:
          type: string
          description: >-
            The ID of the dataset. If not provided, an ID will be generated.
      additionalProperties: false
      required:
        - purpose
        - source
      title: RegisterDatasetRequest
    Dataset:
      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: dataset
          default: dataset
          description: >-
            Type of resource, always 'dataset' for datasets
        purpose:
          type: string
          enum:
            - post-training/messages
            - eval/question-answer
            - eval/messages-answer
          description: >-
            Purpose of the dataset indicating its intended use
        source:
          oneOf:
            - $ref: '#/components/schemas/URIDataSource'
            - $ref: '#/components/schemas/RowsDataSource'
          discriminator:
            propertyName: type
            mapping:
              uri: '#/components/schemas/URIDataSource'
              rows: '#/components/schemas/RowsDataSource'
          description: >-
            Data source configuration for the dataset
        metadata:
          type: object
          additionalProperties:
            oneOf:
              - type: 'null'
              - type: boolean
              - type: number
              - type: string
              - type: array
              - type: object
          description: Additional metadata for the dataset
      additionalProperties: false
      required:
        - identifier
        - provider_id
        - type
        - purpose
        - source
        - metadata
      title: Dataset
      description: >-
        Dataset resource for storing and accessing training or evaluation data.
    RegisterBenchmarkRequest:
      type: object
      properties:
        benchmark_id:
          type: string
          description: The ID of the benchmark to register.
        dataset_id:
          type: string
          description: >-
            The ID of the dataset to use for the benchmark.
        scoring_functions:
          type: array
          items:
            type: string
          description: >-
            The scoring functions to use for the benchmark.
        provider_benchmark_id:
          type: string
          description: >-
            The ID of the provider benchmark to use for the benchmark.
        provider_id:
          type: string
          description: >-
            The ID of the provider to use for the benchmark.
        metadata:
          type: object
          additionalProperties:
            oneOf:
              - type: 'null'
              - type: boolean
              - type: number
              - type: string
              - type: array
              - type: object
          description: The metadata to use for the benchmark.
      additionalProperties: false
      required:
        - benchmark_id
        - dataset_id
        - scoring_functions
      title: RegisterBenchmarkRequest
  responses:
    BadRequest400:
      description: The request was invalid or malformed
      content:
        application/json:
          schema:
            $ref: '#/components/schemas/Error'
          example:
            status: 400
            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
      content:
        application/json:
          schema:
            $ref: '#/components/schemas/Error'
          example:
            status: 429
            title: Too Many Requests
            detail: You have exceeded the rate limit. Please try again later.
    InternalServerError500:
      description: The server encountered an unexpected error
      content:
        application/json:
          schema:
            $ref: '#/components/schemas/Error'
          example:
            status: 500
            title: Internal Server Error
            detail: An unexpected error occurred
    DefaultError:
      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: Datasets
    description: ''
  - name: Models
    description: ''
  - name: ScoringFunctions
    description: ''
  - name: Shields
    description: ''
  - name: ToolGroups
    description: ''
x-tagGroups:
  - name: Operations
    tags:
      - Benchmarks
      - Datasets
      - Models
      - ScoringFunctions
      - Shields
      - ToolGroups