delete /v1/scoring-functions/{scoring_fn_id} exists in the OpenAPI spec,
but isn't specified in the Stainless config, so code will not be
generated for it.
delete /v1alpha/eval/benchmarks/{benchmark_id} exists in the OpenAPI
spec, but isn't specified in the Stainless config, so code will not be
generated for it
Signed-off-by: Sébastien Han <seb@redhat.com>
Add a post-processing step that converts anyOf schemas containing
multiple const string values into proper enum types. This fixes the
Schema/EnumDescriptionNotValid error from Stainless by ensuring enum
schemas are properly formatted instead of using anyOf with const values.
Signed-off-by: Sébastien Han <seb@redhat.com>
Replace deprecated `post /v1/models` with `get /v1/models` in the headline
example to fix Stainless Endpoint/NotFound error.
Signed-off-by: Sébastien Han <seb@redhat.com>
Filter out deprecated endpoints from the combined OpenAPI spec and remove
their references from the Stainless config to fix Endpoint/NotFound
errors.
Signed-off-by: Sébastien Han <seb@redhat.com>
The error is that Query default values can't be set in Annotated; they
must be set with = in the function signature.
See the error:
```
The error is that Query default values can't be set in Annotated; they
must be set with = in the function signature. Searching for where
include_embeddings is defined:
```
Signed-off-by: Sébastien Han <seb@redhat.com>
Added _add_titles_to_unions() to:
Recursively scan all schemas for anyOf/oneOf unions
Generate descriptive titles from the union members
Add those titles to help code generators infer names
Signed-off-by: Sébastien Han <seb@redhat.com>
The _filter_combined_schema function was excluding deprecated
operations. I updated it to include all operations (deprecated and
non-deprecated) for the combined/stainless spec, so these deprecated
endpoints are now included.
Signed-off-by: Sébastien Han <seb@redhat.com>
_filter_combined_schema was using path-level filtering with
_is_path_deprecated, which excluded entire paths if any operation was
deprecated. Since /v1/toolgroups has both GET (not deprecated) and POST
(deprecated), the entire path was excluded, removing the GET operation
and its response schema. Updated _filter_combined_schema to use
operation-level filtering, matching _filter_schema_by_version
Signed-off-by: Sébastien Han <seb@redhat.com>
Removes the need for the strong_typing and pyopenapi packages and purely
use Pydantic for schema generation.
Our generator now purely relies on Pydantic and FastAPI, it is available
at `scripts/fastapi_generator.py`, you can run it like so:
```
uv run ./scripts/run_openapi_generator.sh
```
The generator will:
* Generate the deprecated, experimental, stable and combined specs
* Validate all the spec it generates against OpenAPI standards
A few changes in the schema required for oasdiff some updates so I've
made the following ignore rules. The new Pydantic-based generator is
likely more correct and follows OpenAPI standards better than the old
pyopenapi generator. Instead of trying to make the new generator match
the old one's quirks, we should focus on what's actually correct
according to OpenAPI standards.
These are non-critical changes:
* response-property-became-nullable: Backward compatible:
existing non-null values still work, now also accepts null
* response-required-property-removed: oasdiff reports a false
positive because it doesn't resolve $refs inside anyOf; we could use
tool like 'redocly' to flatten the schema to a single file.
* response-property-type-changed: properties are still object
types, but oasdiff doesn't resolve $refs, so it flags the missing
inline type: object even though the referenced schemas define type:
object
* request-property-one-of-removed: These are false positives
caused by schema restructuring (wrapping in anyOf for nullability,
using -Input variants, or simplifying nested oneOf structures)
that don't change the actual API contract - the same data types are
still accepted, just represented differently in the schema.
* request-parameter-enum-value-removed: These are false
positives caused by oasdiff not resolving $refs - the enum values
(asc, desc, assistants, batch) are still present in the referenced
schemas (Order and OpenAIFilePurpose), just represented via schema
references instead of inline enums.
* request-property-enum-value-removed: this is a false positive caused
by oasdiff not resolving $refs - the enum values (llm, embedding,
rerank) are still present in the referenced ModelType schema,
just represented via schema reference instead of inline enums.
* request-property-type-changed: These are schema quality issues
where type information is missing (due to Any fallback in dynamic
model creation), but the API contract remains unchanged -
properties still exist with correct names and defaults, so the same
requests will work.
* response-body-type-changed: These are false positives caused
by schema representation changes (from inferred/empty types to
explicit $ref schemas, or vice versa) - the actual response types
an API contract remain unchanged, just how they're represented in the
OpenAPI spec.
* response-media-type-removed: This is a false positive caused
by FastAPI's OpenAPI generator not documenting union return types with
AsyncIterator - the streaming functionality with text/event-stream
media type still works when stream=True is passed, it's just not
reflected in the generated OpenAPI spec.
* request-body-type-changed: This is a schema correction - the
old spec incorrectly represented the request body as an object, but
the function signature shows chunks: list[Chunk], so the new spec
correctly shows it as an array, matching the actual API
implementation.
Signed-off-by: Sébastien Han <seb@redhat.com>
# What does this PR do?
- Updates `/vector_stores/{vector_store_id}/files/{file_id}/content` to
allow returning `embeddings` and `metadata` using the `extra_query`
- Updates the UI accordingly to display them.
- Update UI to support CRUD operations in the Vector Stores section and
adds a new modal exposing the functionality.
- Updates Vector Store update to fail if a user tries to update Provider
ID (which doesn't make sense to allow)
```python
In [1]: client.vector_stores.files.content(
vector_store_id=vector_store.id,
file_id=file.id,
extra_query={"include_embeddings": True, "include_metadata": True}
)
Out [1]: FileContentResponse(attributes={}, content=[Content(text='This is a test document to check if embeddings are generated properly.\n', type='text', embedding=[0.33760684728622437, ...,], chunk_metadata={'chunk_id': '62a63ae0-c202-f060-1b86-0a688995b8d3', 'document_id': 'file-27291dbc679642ac94ffac6d2810c339', 'source': None, 'created_timestamp': 1762053437, 'updated_timestamp': 1762053437, 'chunk_window': '0-13', 'chunk_tokenizer': 'DEFAULT_TIKTOKEN_TOKENIZER', 'chunk_embedding_model': 'sentence-transformers/nomic
-ai/nomic-embed-text-v1.5', 'chunk_embedding_dimension': 768, 'content_token_count': 13, 'metadata_token_count': 9}, metadata={'filename': 'test-embedding.txt', 'chunk_id': '62a63ae0-c202-f060-1b86-0a688995b8d3', 'document_id': 'file-27291dbc679642ac94ffac6d2810c339', 'token_count': 13, 'metadata_token_count': 9})], file_id='file-27291dbc679642ac94ffac6d2810c339', filename='test-embedding.txt')
```
Screenshots of UI are displayed below:
### List Vector Store with Added "Create New Vector Store"
<img width="1912" height="491" alt="Screenshot 2025-11-06 at 10 47
25 PM"
src="https://github.com/user-attachments/assets/a3a3ddd9-758d-4005-ac9c-5047f03916f3"
/>
### Create New Vector Store
<img width="1918" height="1048" alt="Screenshot 2025-11-06 at 10 47
49 PM"
src="https://github.com/user-attachments/assets/b4dc0d31-696f-4e68-b109-27915090f158"
/>
### Edit Vector Store
<img width="1916" height="1355" alt="Screenshot 2025-11-06 at 10 48
32 PM"
src="https://github.com/user-attachments/assets/ec879c63-4cf7-489f-bb1e-57ccc7931414"
/>
### Vector Store Files Contents page (with Embeddings)
<img width="1914" height="849" alt="Screenshot 2025-11-06 at 11 54
32 PM"
src="https://github.com/user-attachments/assets/3095520d-0e90-41f7-83bd-652f6c3fbf27"
/>
### Vector Store Files Contents Details page (with Embeddings)
<img width="1916" height="1221" alt="Screenshot 2025-11-06 at 11 55
00 PM"
src="https://github.com/user-attachments/assets/e71dbdc5-5b49-472b-a43a-5785f58d196c"
/>
<!-- If resolving an issue, uncomment and update the line below -->
<!-- Closes #[issue-number] -->
## Test Plan
Tests added for Middleware extension and Provider failures.
---------
Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
# What does this PR do?
<!-- Provide a short summary of what this PR does and why. Link to
relevant issues if applicable. -->
<!-- If resolving an issue, uncomment and update the line below -->
<!-- Closes #[issue-number] -->
This PR adds Stainless config to specify the Meta copyright file header
for generated files.
Doing it via config instead of custom code will reduce the probability
of git conflict.
## Test Plan
<!-- Describe the tests you ran to verify your changes with result
summaries. *Provide clear instructions so the plan can be easily
re-executed.* -->
- review preview builds
# What does this PR do?
the inspect API lacked any mechanism to get all
non-deprecated APIs (v1, v1alpha, v1beta)
change default to this behavior
'v1' filter can be used for user' wanting a list
of stable APIs
## Test Plan
1. pull the PR
2. launch a LLS server
3. run `curl http://beanlab3.bss.redhat.com:8321/v1/inspect/routes`
4. note there are APIs for `v1`, `v1alpha`, and `v1beta` but no
deprecated APIs
Signed-off-by: Nathan Weinberg <nweinber@redhat.com>
# Problem
Responses API uses max_tool_calls parameter to limit the number of tool
calls that can be generated in a response. Currently, LLS implementation
of the Responses API does not support this parameter.
# What does this PR do?
This pull request adds the max_tool_calls field to the response object
definition and updates the inline provider. it also ensures that:
- the total number of calls to built-in and mcp tools do not exceed
max_tool_calls
- an error is thrown if max_tool_calls < 1 (behavior seen with the
OpenAI Responses API, but we can change this if needed)
Closes #[3563](https://github.com/llamastack/llama-stack/issues/3563)
## Test Plan
- Tested manually for change in model response w.r.t supplied
max_tool_calls field.
- Added integration tests to test invalid max_tool_calls parameter.
- Added integration tests to check max_tool_calls parameter with
built-in and function tools.
- Added integration tests to check max_tool_calls parameter in the
returned response object.
- Recorded OpenAI Responses API behavior using a sample script:
https://github.com/s-akhtar-baig/llama-stack-examples/blob/main/responses/src/max_tool_calls.py
Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>
Mark all register_* / unregister_* APIs as deprecated across models,
shields, tool groups, datasets, benchmarks, and scoring functions. This
is the first step toward moving resource mutations to an `/admin`
namespace as outlined in
https://github.com/llamastack/llama-stack/issues/3809#issuecomment-3492931585.
The deprecation flag will be reflected in the OpenAPI schema to warn API
users that these endpoints are being phased out. Next step will be
implementing the `/admin` route namespace for these resource management
operations.
- `register_model` / `unregister_model`
- `register_shield` / `unregister_shield`
- `register_tool_group` / `unregister_toolgroup`
- `register_dataset` / `unregister_dataset`
- `register_benchmark` / `unregister_benchmark`
- `register_scoring_function` / `unregister_scoring_function`
# What does this PR do?
<!-- Provide a short summary of what this PR does and why. Link to
relevant issues if applicable. -->
This pull request adds a new workflow that does 2 things:
1. generate [SDK preview
builds](https://www.stainless.com/docs/guides/automate-updates#set-up-automatic-preview-builds)
whenever the OpenAPI spec file is modified in a PR
2. on PR merge, generate SDK builds that will be pushed to the different
SDK repos (i.e start the release process)
> [!NOTE]
> No repo secret `STAINLESS_API_KEY` is needed, the authentication is
done automatically via GitHub OIDC.
<!-- If resolving an issue, uncomment and update the line below -->
<!-- Closes #[issue-number] -->
## Test Plan
<!-- Describe the tests you ran to verify your changes with result
summaries. *Provide clear instructions so the plan can be easily
re-executed.* -->
I tested in my fork: https://github.com/stainless-api/llama-stack/pull/3
# What does this PR do?
Resolves#4102
1. Added `web_search_2025_08_26` to the `WebSearchToolTypes` list and
the `OpenAIResponseInputToolWebSearch.type` Literal union
2. No changes needed to tool execution logic - all `web_search` types
map to the same underlying tool
3. Backward compatibility is maintained - existing `web_search`,
`web_search_preview`, and `web_search_preview_2025_03_11` types continue
to work
4. Added an integration test case using {"type":
"web_search_2025_08_26"} to verify it works correctly
5. Updated `docs/docs/providers/openai_responses_limitations.mdx` to
reflect that `web_search_2025_08_26` is now supported.
6. Removed incorrect references to `MOD1/MOD2/MOD3` (which don't exist
in the codebase)
<!-- If resolving an issue, uncomment and update the line below -->
<!-- Closes #[issue-number] -->
## Test Plan
<!-- Describe the tests you ran to verify your changes with result
summaries. *Provide clear instructions so the plan can be easily
re-executed.* -->
---------
Signed-off-by: Aakanksha Duggal <aduggal@redhat.com>
Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>
RAG aka file search is implemented via the Responses API by specifying
the file-search tool. The backend implementation remains unchanged. This
PR merely removes the directly exposed API surface which allowed users
to directly perform searches from the client.
This facility is now available via the `client.vector_store.search()`
OpenAI compatible API.
- Removes the deprecated agents (sessions and turns) API that was marked
alpha in 0.3.0
- Cleans up unused imports and orphaned types after the API removal
- Removes `SessionNotFoundError` and `AgentTurnInputType` which are no
longer needed
The agents API is completely superseded by the Responses + Conversations
APIs, and the client SDK Agent class already uses those implementations.
Corresponding client-side PR:
https://github.com/llamastack/llama-stack-client-python/pull/295
This PR removes all routes which we had marked deprecated for the 0.3.0
release.
This includes:
- all the `/v1/openai/v1/` routes (the corresponding /v1 routes still
exist of course)
- the /agents API (which is superseded completely by Responses +
Conversations)
- several alpha routes which had a "v1" route to aide transitioning to
"v1alpha"
This is the corresponding client-python change:
https://github.com/llamastack/llama-stack-client-python/pull/294
# What does this PR do?
This API hasn't received any traction and close to zero interest from
the community. Let's revisit in the future if things change.
Signed-off-by: Sébastien Han <seb@redhat.com>
Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>
