Commit graph

2799 commits

Author SHA1 Message Date
Matthew Farrellee
d07ebce4d9
feat: (re-)enable Databricks inference adapter (#3500)
# What does this PR do?

add/enable the Databricks inference adapter

Databricks inference adapter was broken, closes #3486 

- remove deprecated completion / chat_completion endpoints
- enable dynamic model listing w/o refresh, listing is not async
- use SecretStr instead of str for token
- backward incompatible change: for consistency with databricks docs,
env DATABRICKS_URL -> DATABRICKS_HOST and DATABRICKS_API_TOKEN ->
DATABRICKS_TOKEN
- databricks urls are custom per user/org, add special recorder handling
for databricks urls
- add integration test --setup databricks
- enable chat completions tests
- enable embeddings tests
- disable n > 1 tests
- disable embeddings base64 tests
- disable embeddings dimensions tests

note: reasoning models, e.g. gpt oss, fail because databricks has a
custom, incompatible response format

## Test Plan

ci and 

```
./scripts/integration-tests.sh --stack-config server:ci-tests --setup databricks --subdirs inference --pattern openai
```

note: databricks needs to be manually added to the ci-tests distro for
replay testing
2025-09-23 15:37:23 -04:00
ehhuang
9406a998b9
chore: refactor tracingmiddelware (#3520)
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# What does this PR do?
Just moving TracingMiddleware to a new file

## Test Plan

CI
2025-09-23 10:14:41 -07:00
Matthew Farrellee
2be869b3ef
fix(dev): fix vllm inference recording (await models.list) (#3524)
# What does this PR do?

fix inference recording for vLLM

closes #3523 

## Test Plan

```
$ ./scripts/integration-tests.sh --stack-config server:ci-tests --setup vllm --subdirs inference --inference-mode record --pattern test_text_chat_completion_non_streaming

=== Llama Stack Integration Test Runner ===
Stack Config: server:ci-tests
Setup: vllm
Inference Mode: record
Test Suite: base
Test Subdirs: inference
Test Pattern: test_text_chat_completion_non_streaming

...

=== Applying Setup Environment Variables ===
Setting up environment variables:
export VLLM_URL='http://localhost:8000/v1'

=== Starting Llama Stack Server ===
Waiting for Llama Stack Server to start...
 Llama Stack Server started successfully

=== Running Integration Tests ===
Test subdirs to run: inference
Added test files from inference: 6 files

=== Running all collected tests in a single pytest command ===
Total test files: 6
+ pytest -s -v tests/integration/inference/test_openai_completion.py tests/integration/inference/test_batch_inference.py tests/integration/inference/test_openai_embeddings.py tests/integration/inference/test_text_inference.py tests/integration/inference/test_vision_inference.py tests/integration/inference/test_embedding.py --stack-config=server:ci-tests --inference-mode=record -k 'not( builtin_tool or safety_with_image or code_interpreter or test_rag or test_inference_store_tool_calls ) and test_text_chat_completion_non_streaming' --setup=vllm --color=yes --capture=tee-sys
INFO     2025-09-23 10:35:36,662 tests.integration.conftest:86 tests: Applying setup 'vllm'                                                           
======================================================= test session starts =======================================================
platform linux -- Python 3.12.11, pytest-8.4.2, pluggy-1.6.0 -- .../.venv/bin/python3
cachedir: .pytest_cache
metadata: {'Python': '3.12.11', 'Platform': 'Linux-6.16.7-200.fc42.x86_64-x86_64-with-glibc2.41', 'Packages': {'pytest': '8.4.2', 'pluggy': '1.6.0'}, 'Plugins': {'html': '4.1.1', 'anyio': '4.9.0', 'timeout': '2.4.0', 'cov': '6.2.1', 'asyncio': '1.1.0', 'nbval': '0.11.0', 'socket': '0.7.0', 'json-report': '1.5.0', 'metadata': '3.1.1'}}
rootdir: ...
configfile: pyproject.toml
plugins: html-4.1.1, anyio-4.9.0, timeout-2.4.0, cov-6.2.1, asyncio-1.1.0, nbval-0.11.0, socket-0.7.0, json-report-1.5.0, metadata-3.1.1
asyncio: mode=Mode.AUTO, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function
collected 97 items / 95 deselected / 2 selected                                                                                   

tests/integration/inference/test_text_inference.py::test_text_chat_completion_non_streaming[txt=vllm/Qwen/Qwen3-0.6B-inference:chat_completion:non_streaming_01] 
instantiating llama_stack_client
Port 8321 is already in use, assuming server is already running...
llama_stack_client instantiated in 0.044s
PASSED [ 50%]
tests/integration/inference/test_text_inference.py::test_text_chat_completion_non_streaming[txt=vllm/Qwen/Qwen3-0.6B-inference:chat_completion:non_streaming_02] PASSED [100%]

====================================================== slowest 10 durations =======================================================
1.62s call     tests/integration/inference/test_text_inference.py::test_text_chat_completion_non_streaming[txt=vllm/Qwen/Qwen3-0.6B-inference:chat_completion:non_streaming_02]
0.93s call     tests/integration/inference/test_text_inference.py::test_text_chat_completion_non_streaming[txt=vllm/Qwen/Qwen3-0.6B-inference:chat_completion:non_streaming_01]
0.62s setup    tests/integration/inference/test_text_inference.py::test_text_chat_completion_non_streaming[txt=vllm/Qwen/Qwen3-0.6B-inference:chat_completion:non_streaming_01]

(3 durations < 0.005s hidden.  Use -vv to show these durations.)
========================================== 2 passed, 95 deselected, 6 warnings in 3.26s ===========================================
+ exit_code=0
+ set +x
 All tests completed successfully
```

```
$ git status
...
Untracked files:
  (use "git add <file>..." to include in what will be committed)
	tests/integration/recordings/responses/032f8c5a1289.json
	tests/integration/recordings/responses/c42baf6a3700.json
	tests/integration/recordings/responses/models-bd032f995f2a-fb68f5a6.json
...
```
2025-09-23 12:56:33 -04:00
Matthew Farrellee
62e0aef7bc
fix: return llama stack model id from embeddings (#3525)
# What does this PR do?

the openai_embeddings method on OpenAIMixin was returning the provider's
model id instead of the llama stack name

## Test Plan

before -
```
$ ./scripts/integration-tests.sh --stack-config server:ci-tests --setup gpt --subdirs inference --inference-mode live --pattern test_openai_embeddings_single_string
...
FAILED tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_single_string[openai_client-emb=openai/text-embedding-3-small] - AssertionError: assert 'text-embedding-3-small' == 'openai/text-...dding-3-small'
FAILED tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_single_string[llama_stack_client-emb=openai/text-embedding-3-small] - AssertionError: assert 'text-embedding-3-small' == 'openai/text-...dding-3-small'
========================================== 2 failed, 95 deselected, 4 warnings in 3.87s ===========================================
```
after -
```
$ ./scripts/integration-tests.sh --stack-config server:ci-tests --setup gpt --subdirs inference --inference-mode live --pattern test_openai_embeddings_single_string ...
========================================== 2 passed, 95 deselected, 4 warnings in 2.12s ===========================================
```
2025-09-23 12:30:00 -04:00
ehhuang
a7f9ce9a3a
chore: fix build (#3522)
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# What does this PR do?
error:
5099094847


## Test Plan
GITHUB_ACTIONS=true BUILD_PLATFORM=linux/amd64 USE_COPY_NOT_MOUNT=true
LLAMA_STACK_DIR=. uv run --with llama-stack llama stack build --distro
starter --image-type container --image-name ehhuang/distribution-starter

succeeds
2025-09-22 22:53:48 -07:00
slekkala1
8d8261961e
chore: Refactor fireworks to use OpenAIMixin (#3480)
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Pre-commit / pre-commit (push) Successful in 1m17s
# What does this PR do?
Refactor Fireworks to use OpenAIMixin

Closes https://github.com/llamastack/llama-stack/issues/3391
Related to https://github.com/llamastack/llama-stack/issues/3387

## Test Plan
```
(llama-stack) (base) swapna942@swapna942-mac llama-stack % FIREWORKS_API_KEY=**** ./scripts/integration-tests.sh --stack-config server:ci-tests --setup fireworks --subdirs inference --pattern openai

tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_single_string[openai_client-emb=nomic-ai/nomic-embed-text-v1.5] 
instantiating llama_stack_client
Port 8321 is already in use, assuming server is already running...
llama_stack_client instantiated in 0.031s
PASSED [  2%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_multiple_strings[openai_client-emb=nomic-ai/nomic-embed-text-v1.5] PASSED [  4%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_encoding_format_float[openai_client-emb=nomic-ai/nomic-embed-text-v1.5] PASSED [  6%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_dimensions[openai_client-emb=nomic-ai/nomic-embed-text-v1.5] PASSED [  8%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_user_parameter[openai_client-emb=nomic-ai/nomic-embed-text-v1.5] SKIPPED [ 10%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_empty_list_error[openai_client-emb=nomic-ai/nomic-embed-text-v1.5] PASSED [ 12%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_invalid_model_error[openai_client-emb=nomic-ai/nomic-embed-text-v1.5] PASSED [ 14%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_different_inputs_different_outputs[openai_client-emb=nomic-ai/nomic-embed-text-v1.5] PASSED [ 17%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_encoding_format_base64[openai_client-emb=nomic-ai/nomic-embed-text-v1.5] SKIPPED [ 19%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_base64_batch_processing[openai_client-emb=nomic-ai/nomic-embed-text-v1.5] SKIPPED [ 21%]
tests/integration/inference/test_openai_completion.py::test_openai_completion_non_streaming[txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:completion:sanity] PASSED [ 23%]
tests/integration/inference/test_openai_completion.py::test_openai_completion_non_streaming_suffix[txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:completion:suffix] SKIPPED [ 25%]
tests/integration/inference/test_openai_completion.py::test_openai_completion_streaming[txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:completion:sanity] PASSED [ 27%]
tests/integration/inference/test_openai_completion.py::test_openai_completion_prompt_logprobs[txt=accounts/fireworks/models/llama-v3p1-8b-instruct-1] SKIPPED [ 29%]
tests/integration/inference/test_openai_completion.py::test_openai_completion_guided_choice[txt=accounts/fireworks/models/llama-v3p1-8b-instruct] SKIPPED [ 31%]
tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[openai_client-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:chat_completion:non_streaming_01] PASSED [ 34%]
tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[openai_client-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:chat_completion:streaming_01] PASSED [ 36%]
tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[openai_client-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:chat_completion:streaming_01] PASSED [ 38%]
tests/integration/inference/test_openai_completion.py::test_inference_store[openai_client-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-True] PASSED [ 40%]
tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[openai_client-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-True] PASSED [ 42%]
tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming_with_file[txt=accounts/fireworks/models/llama-v3p1-8b-instruct] SKIPPED [ 44%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_single_string[llama_stack_client-emb=nomic-ai/nomic-embed-text-v1.5] PASSED [ 46%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_multiple_strings[llama_stack_client-emb=nomic-ai/nomic-embed-text-v1.5] PASSED [ 48%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_encoding_format_float[llama_stack_client-emb=nomic-ai/nomic-embed-text-v1.5] PASSED [ 51%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_dimensions[llama_stack_client-emb=nomic-ai/nomic-embed-text-v1.5] PASSED [ 53%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_user_parameter[llama_stack_client-emb=nomic-ai/nomic-embed-text-v1.5] SKIPPED [ 55%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_empty_list_error[llama_stack_client-emb=nomic-ai/nomic-embed-text-v1.5] PASSED [ 57%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_invalid_model_error[llama_stack_client-emb=nomic-ai/nomic-embed-text-v1.5] PASSED [ 59%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_different_inputs_different_outputs[llama_stack_client-emb=nomic-ai/nomic-embed-text-v1.5] PASSED [ 61%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_encoding_format_base64[llama_stack_client-emb=nomic-ai/nomic-embed-text-v1.5] SKIPPED [ 63%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_base64_batch_processing[llama_stack_client-emb=nomic-ai/nomic-embed-text-v1.5] SKIPPED [ 65%]
tests/integration/inference/test_openai_completion.py::test_openai_completion_prompt_logprobs[txt=accounts/fireworks/models/llama-v3p1-8b-instruct-0] SKIPPED [ 68%]
tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[openai_client-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:chat_completion:non_streaming_02] PASSED [ 70%]
tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[openai_client-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:chat_completion:streaming_02] PASSED [ 72%]
tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[openai_client-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:chat_completion:streaming_02] PASSED [ 74%]
tests/integration/inference/test_openai_completion.py::test_inference_store[openai_client-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-False] PASSED [ 76%]
tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[openai_client-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-False] PASSED [ 78%]
tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[client_with_models-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:chat_completion:non_streaming_01] PASSED [ 80%]
tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[client_with_models-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:chat_completion:streaming_01] PASSED [ 82%]
tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[client_with_models-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:chat_completion:streaming_01] PASSED [ 85%]
tests/integration/inference/test_openai_completion.py::test_inference_store[client_with_models-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-True] PASSED [ 87%]
tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[client_with_models-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-True] PASSED [ 89%]
tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[client_with_models-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:chat_completion:non_streaming_02] PASSED [ 91%]
tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[client_with_models-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:chat_completion:streaming_02] PASSED [ 93%]
tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[client_with_models-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:chat_completion:streaming_02] PASSED [ 95%]
tests/integration/inference/test_openai_completion.py::test_inference_store[client_with_models-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-False] PASSED [ 97%]
tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[client_with_models-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-False] PASSED [100%]

========================================== slowest 10 durations ==========================================
30.01s teardown tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_multiple_strings[llama_stack_client-emb=nomic-ai/nomic-embed-text-v1.5]
30.01s teardown tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[client_with_models-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-False]
30.01s teardown tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_different_inputs_different_outputs[openai_client-emb=nomic-ai/nomic-embed-text-v1.5]
30.01s teardown tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_user_parameter[openai_client-emb=nomic-ai/nomic-embed-text-v1.5]
30.01s teardown tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[openai_client-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-True]
30.01s teardown tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_different_inputs_different_outputs[llama_stack_client-emb=nomic-ai/nomic-embed-text-v1.5]
30.01s teardown tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[openai_client-txt=accounts/fireworks/models/llama-v3p1-8b-instruct-inference:chat_completion:non_streaming_02]
30.01s teardown tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_single_string[llama_stack_client-emb=nomic-ai/nomic-embed-text-v1.5]
30.01s teardown tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_base64_batch_processing[openai_client-emb=nomic-ai/nomic-embed-text-v1.5]
30.01s teardown tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_invalid_model_error[openai_client-emb=nomic-ai/nomic-embed-text-v1.5]
================= 36 passed, 11 skipped, 50 deselected, 4 warnings in 1429.05s (0:23:49) =================
+ exit_code=0
+ set +x
 All tests completed successfully
```
2025-09-22 13:19:36 -04:00
Kai Wu
e3fd70c321
fix: change ModelRegistryHelper to use ProviderModelEntry instead of hardcoded ModelType.llm (#3451)
# What does this PR do?
<!-- Provide a short summary of what this PR does and why. Link to
relevant issues if applicable. -->
change ModelRegistryHelper to use ProviderModelEntry instead of
hardcoded ModelType.llm which fixed issue #3330.
<!-- If resolving an issue, uncomment and update the line below -->
<!-- Closes #[3330] -->

## 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.* -->
1. open llama-stack server 
```
uv sync --python 3.12
source .venv/bin/activate
uv run llama stack build --distro starter --image-type venv  --run
```
2.Used following script to test 
```
from llama_stack_client import LlamaStackClient
import os
def test_openai_embedding_type():
    client = LlamaStackClient(
        base_url=os.environ.get("LLAMA_STACK_ENDPOINT", "http://localhost:8321"),
        provider_data={
        "openai_api_key": os.environ.get("OPENAI_API_KEY", ""),
    },
    )
    model = client.models.retrieve("openai/text-embedding-3-small")
    print(model)
    assert model.identifier == "openai/text-embedding-3-small"
    assert model.model_type == "embedding"
test_openai_embedding_type()
```
logs:
```
python test_openai.py
INFO:httpx:HTTP Request: GET http://localhost:8321/v1/models/openai/text-embedding-3-small "HTTP/1.1 200 OK"
Model(identifier='openai/text-embedding-3-small', metadata={'embedding_dimension': 1536.0, 'context_length': 8192.0}, api_model_type='embedding', provider_id='openai', type='model', provider_resource_id='text-embedding-3-small', owner=None, source='listed_from_provider', model_type='embedding')
```
2025-09-22 12:55:32 -04:00
dependabot[bot]
a1301911e4
chore(ui-deps): bump jest-environment-jsdom from 29.7.0 to 30.1.2 in /llama_stack/ui (#3509)
Bumps
[jest-environment-jsdom](https://github.com/jestjs/jest/tree/HEAD/packages/jest-environment-jsdom)
from 29.7.0 to 30.1.2.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/jestjs/jest/releases">jest-environment-jsdom's
releases</a>.</em></p>
<blockquote>
<h2>30.1.2</h2>
<h3>Fixes</h3>
<ul>
<li><code>[jest-snapshot-utils]</code> Correct snapshot header regexp to
work with newline across OSes (<a
href="https://redirect.github.com/jestjs/jest/pull/15803">#15803</a>)</li>
</ul>
<h2>30.1.1</h2>
<h3>Fixes</h3>
<ul>
<li><code>[jest-snapshot-utils]</code> Fix deprecated goo.gl snapshot
warning not handling Windows end-of-line sequences (<a
href="https://redirect.github.com/jestjs/jest/pull/15800">#15800</a>)</li>
</ul>
<h2>30.1.0</h2>
<h2>Features</h2>
<ul>
<li><code>[jest-leak-detector]</code> Configurable GC aggressiveness
regarding to V8 heap snapshot generation (<a
href="https://redirect.github.com/jestjs/jest/pull/15793/">#15793</a>)</li>
<li><code>[jest-runtime]</code> Reduce redundant ReferenceError
messages</li>
<li><code>[jest-core]</code> Include test modules that failed to load
when --onlyFailures is active</li>
</ul>
<h3>Fixes</h3>
<ul>
<li>`[jest-snapshot-utils] Fix deprecated goo.gl snapshot guide link not
getting replaced with fully canonical URL (<a
href="https://redirect.github.com/jestjs/jest/pull/15787">#15787</a>)</li>
<li><code>[jest-circus]</code> Fix <code>it.concurrent</code> not
working with <code>describe.skip</code> (<a
href="https://redirect.github.com/jestjs/jest/pull/15765">#15765</a>)</li>
<li><code>[jest-snapshot]</code> Fix mangled inline snapshot updates
when used with Prettier 3 and CRLF line endings</li>
<li><code>[jest-runtime]</code> Importing from
<code>@jest/globals</code> in more than one file no longer breaks
relative paths (<a
href="https://redirect.github.com/jestjs/jest/issues/15772">#15772</a>)</li>
</ul>
<h1>Chore</h1>
<ul>
<li><code>[expect]</code> Update docblock for <code>toContain()</code>
to display info on substring check (<a
href="https://redirect.github.com/jestjs/jest/pull/15789">#15789</a>)</li>
</ul>
<h2>30.0.2</h2>
<h2>What's Changed</h2>
<h3>Fixes</h3>
<ul>
<li><code>[jest-matcher-utils]</code> Make 'deepCyclicCopyObject' safer
by setting descriptors to a null-prototype object (<a
href="https://redirect.github.com/jestjs/jest/pull/15689">#15689</a>)</li>
<li><code>[jest-util]</code> Make garbage collection protection property
writable (<a
href="https://redirect.github.com/jestjs/jest/pull/15689">#15689</a>)</li>
</ul>
<p><strong>Full Changelog</strong>: <a
href="https://github.com/jestjs/jest/blob/main/CHANGELOG.md">https://github.com/jestjs/jest/blob/main/CHANGELOG.md</a></p>
<h2>Jest 30.0.1</h2>
<h2>What's Changed</h2>
<h3>Features</h3>
<ul>
<li><code>[jest-resolver]</code> Implement the
<code>defaultAsyncResolver</code> (<a
href="https://redirect.github.com/jestjs/jest/pull/15679">#15679</a>)</li>
</ul>
<h3>Fixes</h3>
<ul>
<li><code>[jest-resolver]</code> Resolve builtin modules correctly (<a
href="https://redirect.github.com/jestjs/jest/pull/15683">#15683</a>)</li>
<li><code>[jest-environment-node, jest-util]</code> Avoid setting
globals cleanup protection symbol when feature is off (<a
href="https://redirect.github.com/jestjs/jest/pull/15684">#15684</a>)</li>
</ul>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Changelog</summary>
<p><em>Sourced from <a
href="https://github.com/jestjs/jest/blob/main/CHANGELOG.md">jest-environment-jsdom's
changelog</a>.</em></p>
<blockquote>
<h2>30.1.2</h2>
<h3>Fixes</h3>
<ul>
<li><code>[jest-snapshot-utils]</code> Correct snapshot header regexp to
work with newline across OSes (<a
href="https://redirect.github.com/jestjs/jest/pull/15803">#15803</a>)</li>
</ul>
<h2>30.1.1</h2>
<h3>Fixes</h3>
<ul>
<li><code>[jest-snapshot-utils]</code> Fix deprecated goo.gl snapshot
warning not handling Windows end-of-line sequences (<a
href="https://redirect.github.com/jestjs/jest/pull/15800">#15800</a>)</li>
</ul>
<h2>30.1.0</h2>
<h2>Features</h2>
<ul>
<li><code>[jest-leak-detector]</code> Configurable GC aggressiveness
regarding to V8 heap snapshot generation (<a
href="https://redirect.github.com/jestjs/jest/pull/15793/">#15793</a>)</li>
<li><code>[jest-runtime]</code> Reduce redundant ReferenceError
messages</li>
<li><code>[jest-core]</code> Include test modules that failed to load
when --onlyFailures is active</li>
</ul>
<h3>Fixes</h3>
<ul>
<li><code>[jest-snapshot-utils]</code> Fix deprecated goo.gl snapshot
guide link not getting replaced with fully canonical URL (<a
href="https://redirect.github.com/jestjs/jest/pull/15787">#15787</a>)</li>
<li><code>[jest-circus]</code> Fix <code>it.concurrent</code> not
working with <code>describe.skip</code> (<a
href="https://redirect.github.com/jestjs/jest/pull/15765">#15765</a>)</li>
<li><code>[jest-snapshot]</code> Fix mangled inline snapshot updates
when used with Prettier 3 and CRLF line endings</li>
<li><code>[jest-runtime]</code> Importing from
<code>@jest/globals</code> in more than one file no longer breaks
relative paths (<a
href="https://redirect.github.com/jestjs/jest/issues/15772">#15772</a>)</li>
</ul>
<h1>Chore</h1>
<ul>
<li><code>[expect]</code> Update docblock for <code>toContain()</code>
to display info on substring check (<a
href="https://redirect.github.com/jestjs/jest/pull/15789">#15789</a>)</li>
</ul>
<h2>30.0.5</h2>
<h3>Features</h3>
<ul>
<li><code>[jest-config]</code> Allow <code>testMatch</code> to take a
string value</li>
<li><code>[jest-worker]</code> Let <code>workerIdleMemoryLimit</code>
accept 0 to always restart worker child processes</li>
</ul>
<h3>Fixes</h3>
<ul>
<li><code>[expect]</code> Fix <code>bigint</code> error (<a
href="https://redirect.github.com/jestjs/jest/pull/15702">#15702</a>)</li>
</ul>
<h2>30.0.4</h2>
<h3>Features</h3>
<ul>
<li><code>[expect]</code> The <code>Inverse</code> type is now exported
(<a
href="https://redirect.github.com/jestjs/jest/pull/15714">#15714</a>)</li>
<li><code>[expect]</code> feat: support <code>async functions</code> in
<code>toBe</code> (<a
href="https://redirect.github.com/jestjs/jest/pull/15704">#15704</a>)</li>
</ul>
<h3>Fixes</h3>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="ebfa31cc97"><code>ebfa31c</code></a>
v30.1.2</li>
<li><a
href="d347c0f3f8"><code>d347c0f</code></a>
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<li><a
href="ac334c0cdf"><code>ac334c0</code></a>
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7c4a740a08
chore(ui-deps): bump @radix-ui/react-dialog from 1.1.13 to 1.1.15 in /llama_stack/ui (#3510)
Bumps [@radix-ui/react-dialog](https://github.com/radix-ui/primitives)
from 1.1.13 to 1.1.15.
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dependabot[bot]
21f7667bb7
chore(ui-deps): bump remeda from 2.30.0 to 2.32.0 in /llama_stack/ui (#3511)
Bumps [remeda](https://github.com/remeda/remeda) from 2.30.0 to 2.32.0.
<details>
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<h2>v2.32.0</h2>
<h1><a
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(2025-09-18)</h1>
<h3>Features</h3>
<ul>
<li>toTitleCase (<a
href="https://redirect.github.com/remeda/remeda/issues/1200">#1200</a>)
(<a
href="90866698f7">9086669</a>)</li>
</ul>
<h2>v2.31.1</h2>
<h2><a
href="https://github.com/remeda/remeda/compare/v2.31.0...v2.31.1">2.31.1</a>
(2025-09-09)</h2>
<p><em>This version is identical to <a
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<h3>Features</h3>
<ul>
<li><strong>conditional:</strong> remove <code>defaultCase</code> (<a
href="https://redirect.github.com/remeda/remeda/issues/1192">#1192</a>)
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href="ebea7b3bc6">ebea7b3</a>),
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href="https://redirect.github.com/remeda/remeda/issues/1114">#1114</a></li>
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href="025b2ec8d8">025b2ec</a>),
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href="ae0e1156d6"><code>ae0e115</code></a>
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<li><a
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6ce2cf3e12
chore(github-deps): bump astral-sh/setup-uv from 6.6.1 to 6.7.0 (#3502)
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<li>The input <code>save-cache</code> (<code>true</code> by default) can
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<p>Skipping cache saving can be useful if you know, that you will never
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<pre lang="yaml"><code>- name: Save cache only on main branch
  uses: astral-sh/setup-uv@v6
  with:
    enable-cache: true
    save-cache: ${{ github.ref == 'refs/heads/main' }}
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href="https://redirect.github.com/astral-sh/setup-uv/issues/568">#568</a>)</li>
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href="https://redirect.github.com/astral-sh/setup-uv/issues/569">#569</a>)</li>
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href="https://redirect.github.com/astral-sh/setup-uv/issues/565">#565</a>)</li>
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(<a
href="https://redirect.github.com/astral-sh/setup-uv/issues/562">#562</a>)</li>
<li>chore: update known versions for 0.8.15 @<a
href="https://github.com/apps/github-actions">github-actions[bot]</a>
(<a
href="https://redirect.github.com/astral-sh/setup-uv/issues/550">#550</a>)</li>
<li>chore(ci): address CI lint findings <a
href="https://github.com/woodruffw"><code>@​woodruffw</code></a> (<a
href="https://redirect.github.com/astral-sh/setup-uv/issues/545">#545</a>)</li>
</ul>
<h2>⬆️ Dependency updates</h2>
<ul>
<li>Bump github/codeql-action from 3.29.11 to 3.30.3 @<a
href="https://github.com/apps/dependabot">dependabot[bot]</a> (<a
href="https://redirect.github.com/astral-sh/setup-uv/issues/566">#566</a>)</li>
<li>Bump actions/setup-node from 4.4.0 to 5.0.0 @<a
href="https://github.com/apps/dependabot">dependabot[bot]</a> (<a
href="https://redirect.github.com/astral-sh/setup-uv/issues/551">#551</a>)</li>
</ul>
</blockquote>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="b75a909f75"><code>b75a909</code></a>
bump deps (<a
href="https://redirect.github.com/astral-sh/setup-uv/issues/569">#569</a>)</li>
<li><a
href="ffff8aa2b5"><code>ffff8aa</code></a>
Bump github/codeql-action from 3.29.11 to 3.30.3 (<a
href="https://redirect.github.com/astral-sh/setup-uv/issues/566">#566</a>)</li>
<li><a
href="95d0e233fa"><code>95d0e23</code></a>
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href="https://redirect.github.com/astral-sh/setup-uv/issues/551">#551</a>)</li>
<li><a
href="dc724a12b6"><code>dc724a1</code></a>
Add inputs restore-cache and save-cache (<a
href="https://redirect.github.com/astral-sh/setup-uv/issues/568">#568</a>)</li>
<li><a
href="f67343ac2e"><code>f67343a</code></a>
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href="4dd9f52a47"><code>4dd9f52</code></a>
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<li><a
href="e1e6fe7910"><code>e1e6fe7</code></a>
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<li><a
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chore(ci): address CI lint findings (<a
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Matthew Farrellee
e2e42c8a37
chore: remove duplicate OpenAI and Gemini data validators (#3513)
# What does this PR do?

removes the duplicate OpenAI/GeminiProviderDataValidator

the active ones are in config.pys


## Test Plan

ci
2025-09-22 13:53:17 +02:00
Derek Higgins
0e43be36e1
fix: handle missing API keys gracefully in model refresh (#3493)
- Catch Errors from providers without API keys during model refresh
- Log as warning instead of exception to avoid a scary startup

Closes: #3492

Error message are now warnings instead of several tracebacks
```

INFO     2025-09-19 16:06:55,228 llama_stack.providers.utils.inference.inference_store:74 inference_store: Write queue disabled for SQLite to avoid   
         concurrency issues                                                                                                                           
WARNING  2025-09-19 16:06:59,362 llama_stack.providers.utils.inference.openai_mixin:327 providers::utils: Failed to list models for anthropic: API key
         is not set. Please provide a valid API key in the provider data header, e.g. x-llamastack-provider-data: {"anthropic_api_key": "<API_KEY>"}, 
         or in the provider config.                                                                                                                   
WARNING  2025-09-19 16:06:59,364 llama_stack.providers.utils.inference.openai_mixin:327 providers::utils: Failed to list models for gemini: API key is
         not set. Please provide a valid API key in the provider data header, e.g. x-llamastack-provider-data: {"gemini_api_key": "<API_KEY>"}, or in 
         the provider config.                                                                                                                         
WARNING  2025-09-19 16:06:59,367 llama_stack.providers.utils.inference.openai_mixin:327 providers::utils: Failed to list models for groq: API key is  
         not set. Please provide a valid API key in the provider data header, e.g. x-llamastack-provider-data: {"groq_api_key": "<API_KEY>"}, or in   
         the provider config.                                                                                                                         
WARNING  2025-09-19 16:06:59,372 llama_stack.providers.utils.inference.openai_mixin:327 providers::utils: Failed to list models for sambanova: API key
         is not set. Please provide a valid API key in the provider data header, e.g. x-llamastack-provider-data: {"sambanova_api_key": "<API_KEY>"}, 
         or in the provider config.                                                                                                                   
INFO     2025-09-19 16:06:59,533 llama_stack.core.utils.config_resolution:45 core: Using file path:                                                   

```

Signed-off-by: Derek Higgins <derekh@redhat.com>
2025-09-22 07:31:30 -04:00
Derek Higgins
e3f77c1004
fix: Update inference recorder to handle both Ollama and OpenAI model (#3470)
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- Handle Ollama format where models are nested under
response['body']['models']
- Fall back to OpenAI format where models are directly in
response['body']

Closes: #3457

Signed-off-by: Derek Higgins <derekh@redhat.com>
2025-09-21 09:32:39 -04:00
Matthew Farrellee
142a38db8b
chore: remove duplicate AnthropicProviderDataValidator (#3512)
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# What does this PR do?

removes the duplicate AnthropicProviderDataValidator

the active one is in config.py

## Test Plan

ci
2025-09-20 16:09:27 -07:00
ehhuang
f44eb935c4
chore: simplify authorized sqlstore (#3496)
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# What does this PR do?

This PR is generated with AI and reviewed by me.

Refactors the AuthorizedSqlStore class to store the access policy as an
instance variable rather than passing it as a parameter to each method
call. This simplifies the API.

# Test Plan

existing tests
2025-09-19 16:13:56 -07:00
Sébastien Han
d3600b92d1
fix: force milvus-lite installation for inline::milvus (#3488)
# What does this PR do?

pymilvus recently made `milvus-lite` an optional dependency to their
package. If someone wants to use the inline provider we must include the
extra dependency.
For more details see: https://github.com/milvus-io/pymilvus/pull/2976

Signed-off-by: Sébastien Han <seb@redhat.com>
2025-09-19 16:12:08 -04:00
adam-d-young
9378bdca43
docs: Fix incorrect vector_db_id usage in RAG tutorial (#3444)
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# What does this PR do?
This PR fixes a blocking issue in the detailed RAG tutorial where the
code fails with a 400 Bad Request error.

The root cause is that recent versions of Llama-Stack ignore the
client-generated vector_db_id and assign a new server-side ID. The
tutorial was not updated to reflect this, causing the rag_tool.insert
call to fail.

This change updates the code to capture the authoritative ID from the
.identifier attribute of the register() method's response. This ensures
the tutorial code runs successfully and reflects the current API
behavior.

## Test Plan
The fix can be verified by running the Python code snippet from the
detailed tutorial page.

Run the original code (Before this change):

Result: The script fails with a 400 Bad Request error on the
rag_tool.insert step.

Run the updated code (After this change):

Result: The script runs successfully to completion.

Co-authored-by: Adam Young <adam.young@redhat.com>
2025-09-19 11:41:26 -04:00
ehhuang
4c2fcb6b51
chore: refactor server.main (#3462)
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# What does this PR do?
As shown in #3421, we can scale stack to handle more RPS with k8s
replicas. This PR enables multi process stack with uvicorn --workers so
that we can achieve the same scaling without being in k8s.

To achieve that we refactor main to split out the app construction
logic. This method needs to be non-async. We created a new `Stack` class
to house impls and have a `start()` method to be called in lifespan to
start background tasks instead of starting them in the old
`construct_stack`. This way we avoid having to manage an event loop
manually.


## Test Plan
CI

> uv run --with llama-stack python -m llama_stack.core.server.server
benchmarking/k8s-benchmark/stack_run_config.yaml

works.

> LLAMA_STACK_CONFIG=benchmarking/k8s-benchmark/stack_run_config.yaml uv
run uvicorn llama_stack.core.server.server:create_app --port 8321
--workers 4

works.
2025-09-18 21:11:13 -07:00
Charlie Doern
8422bd102a
feat: combine ProviderSpec datatypes (#3378)
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# What does this PR do?

currently `RemoteProviderSpec` has an `AdapterSpec` embedded in it.
Remove `AdapterSpec`, and put its leftover fields into
`RemoteProviderSpec`.

Additionally, many of the fields were duplicated between
`InlineProviderSpec` and `RemoteProviderSpec`. Move these to
`ProviderSpec` so they are shared.

Fixup the distro codegen to use `RemoteProviderSpec` directly rather
than `remote_provider_spec` which took an AdapterSpec and returned a
full provider spec

## Test Plan

existing distro tests should pass.

Signed-off-by: Charlie Doern <cdoern@redhat.com>
2025-09-18 16:10:00 +02:00
Jiayi Ni
e66103c09d
fix: add missing files provider to NVIDIA distribution (#3479)
# What does this PR do?
The rag-runtime tool requires files API as a dependency, but the NVIDIA
distribution was missing the files provider configuration. Thus, when
running:

```
llama stack build --distro nvidia --image-type venv
```
And then:
```
llama stack run {path_to_distribution_config} --image-type venv
```
It would raise an error:
```
RuntimeError: Failed to resolve 'tool_runtime' provider 'rag-runtime' of type 'inline::rag-runtime': required dependency 'files' is not available. Please add a 'files' provider to your configuration or check if the provider is properly configured.
```

This PR fixes the issue by adding missing files provider to NVIDIA
distribution.

## Test Plan
N/A
2025-09-18 13:49:46 +02:00
Matthew Farrellee
ea396a54cd
chore: update the ollama inference impl to use OpenAIMixin for openai-compat functions (#3395)
# What does this PR do?

update Ollama inference provider to use OpenAIMixin for openai-compat
endpoints

## Test Plan

ci
2025-09-18 13:09:57 +02:00
Matthew Farrellee
521865c388
feat: include all models from provider's /v1/models (#3471)
# What does this PR do?

this replaces the static model listing for any provider using
OpenAIMixin

currently -
 - anthropic
 - azure openai
 - gemini
 - groq
 - llama-api
 - nvidia
 - openai
 - sambanova
 - tgi
 - vertexai
 - vllm
 - not changed: together has its own impl

## Test Plan

 - new unit tests
 - manual for llama-api, openai, groq, gemini

```
for provider in llama-openai-compat openai groq gemini; do
   uv run llama stack build --image-type venv --providers inference=remote::provider --run &
   uv run --with llama-stack-client llama-stack-client models list | grep Total
```

results (17 sep 2025):
 - llama-api: 4
 - openai: 86
 - groq: 21
 - gemini: 66


closes #3467
2025-09-18 05:17:11 -04:00
Akram Ben Aissi
4842145202
feat: Add dynamic authentication token forwarding support for vLLM (#3388)
# What does this PR do?


*Add dynamic authentication token forwarding support for vLLM provider*

This enables per-request authentication tokens for vLLM providers,
supporting use cases like RAG operations where different requests may
need different authentication tokens. The implementation follows the
same pattern as other providers like Together AI, Fireworks, and
Passthrough.

- Add LiteLLMOpenAIMixin that manages the vllm_api_token properly

Usage:

- Static: VLLM_API_TOKEN env var or config.api_token
- Dynamic: X-LlamaStack-Provider-Data header with vllm_api_token
All existing functionality is preserved while adding new dynamic
capabilities.


<!-- 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] -->

## 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.* -->

```
curl -X POST "http://localhost:8000/v1/chat/completions" -H "Authorization: Bearer my-dynamic-token" \
  -H "X-LlamaStack-Provider-Data: {\"vllm_api_token\": \"Bearer my-dynamic-token\", \"vllm_url\": \"http://dynamic-server:8000\"}" \
  -H "Content-Type: application/json" \
  -d '{"model": "llama-3.1-8b", "messages": [{"role": "user", "content": "Hello!"}]}'
  
```

---------

Signed-off-by: Akram Ben Aissi <akram.benaissi@gmail.com>
2025-09-18 11:13:55 +02:00
Doug Edgar
42c23b45f6
feat: update qdrant hash function from SHA-1 to SHA-256 (#3477)
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# What does this PR do?
Updates the qdrant provider's convert_id function to use a
FIPS-validated cryptographic hashing function, so that llama-stack is
considered to be `Designed for FIPS`.

The standard library `uuid.uuid5()` function uses SHA-1 under the hood,
which is not FIPS-validated. This commit uses an approach similar to the
one merged in #3423.

Closes #3476.

## Test Plan
Unit tests from scripts/unit-tests.sh were ran to verify that the tests
pass.

A small test script can display the data flow:
```python
import hashlib
import uuid

# Input
_id = "chunk_abc123"
print(_id)

# Step 1: Format and encode
hash_input = f"qdrant_id:{_id}".encode()
print(hash_input)
# Result: b'qdrant_id:chunk_abc123'

# Step 2: SHA-256 hash
sha256_hash = hashlib.sha256(hash_input).hexdigest()
print(sha256_hash)
# Result: "184893a6eafeaac487cb9166351e8625b994d50f3456d8bc6cea32a014a27151"

# Step 3: Create UUID from first 32 chars
uuid_string = str(uuid.UUID(sha256_hash[:32]))
print(uuid_string)
# sha256_hash[:32] = "184893a6eafeaac487cb9166351e8625"
# Final result: "184893a6-eafe-aac4-87cb-9166351e8625"
```

Signed-off-by: Doug Edgar <dedgar@redhat.com>
2025-09-17 15:10:10 -07:00
Jash Gulabrai
ac1414b571
fix: Set provider_id in NVIDIA notebook when registering dataset (#3472)
# What does this PR do?
When registering a dataset for NVIDIA, the DatasetsRoutingTable expects
`nvidia` to be passed via the `provider_id`
[here](https://github.com/llamastack/llama-stack/blob/main/llama_stack/core/routing_tables/datasets.py#L61).

This PR fixes a notebook to correctly use `provider_id`.

<!-- If resolving an issue, uncomment and update the line below -->
Closes #3308

## Test Plan
Manually execute the notebook steps to verify the dataset is registered.

Co-authored-by: Jash Gulabrai <jgulabrai@nvidia.com>
2025-09-17 11:45:15 -07:00
Alexey Rybak
9fe8097ca4
docs: update documentation links (#3459)
# What does this PR do?
* Updates documentation links from readthedocs to llamastack.github.io

## Test Plan
* Manual testing
2025-09-17 10:37:35 -07:00
Francisco Arceo
9acf49753e
fix: Fixing prompts import warning (#3455)
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# What does this PR do?
Fixes this warning in llama stack build:

```bash
WARNING  2025-09-15 15:29:02,197 llama_stack.core.distribution:149 core: Failed to import module prompts: No module named
         'llama_stack.providers.registry.prompts'"
```

## Test Plan
Test added

---------

Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
2025-09-17 10:24:58 +02:00
Derek Higgins
fad4843548
fix: unbound variable PR_HEAD_REPO (#3469)
Add default value for PR_HEAD_REPO to prevent 'unbound variable' error
when no PR exists for a branch.

Signed-off-by: Derek Higgins <derekh@redhat.com>
2025-09-17 10:18:43 +02:00
Omar Abdelwahab
e0e2b1bd0e
fix: Added a bug fix when registering new models (#3453)
# What does this PR do?

Modified the code in registry.py.

The key changes are:

1.  Removed the `return False` statement
2. Added a warning log message that includes the object type,
identifier, and provider_id for better debugging.
3. The method now continues with the registration process instead of
early returning.

---------

Co-authored-by: Omar Abdelwahab <omara@fb.com>
2025-09-16 19:09:06 -07:00
github-actions[bot]
ececc323d3 build: Bump version to 0.2.22
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2025-09-16 19:44:03 +00:00
Matthew Farrellee
49d4a5cc84
feat: add embedding and dynamic model support to Together inference adapter (#3458)
# What does this PR do?

adds embedding and dynamic model support to Together inference adapter

 - updated to use OpenAIMixin
 - workarounds for Together api quirks
 - recordings for together suite when subdirs=inference,pattern=openai

## Test Plan

```
$ TOGETHER_API_KEY=_NONE_ ./scripts/integration-tests.sh --stack-config server:ci-tests --setup together --subdirs inference --pattern openai
...

tests/integration/inference/test_openai_completion.py::test_openai_completion_non_streaming[txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:completion:sanity] 
instantiating llama_stack_client
Port 8321 is already in use, assuming server is already running...
llama_stack_client instantiated in 0.121s
PASSED [  2%]
tests/integration/inference/test_openai_completion.py::test_openai_completion_non_streaming_suffix[txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:completion:suffix] SKIPPED [  4%]
tests/integration/inference/test_openai_completion.py::test_openai_completion_streaming[txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:completion:sanity] PASSED [  6%]
tests/integration/inference/test_openai_completion.py::test_openai_completion_prompt_logprobs[txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-1] SKIPPED [  8%]
tests/integration/inference/test_openai_completion.py::test_openai_completion_guided_choice[txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free] SKIPPED [ 10%]
tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[openai_client-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:chat_completion:non_streaming_01] PASSED [ 12%]
tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[openai_client-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:chat_completion:streaming_01] PASSED [ 14%]
tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[openai_client-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:chat_completion:streaming_01] SKIPPED [ 17%]
tests/integration/inference/test_openai_completion.py::test_inference_store[openai_client-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-True] PASSED [ 19%]
tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[openai_client-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-True] PASSED [ 21%]
tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming_with_file[txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free] SKIPPED [ 23%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_single_string[openai_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] PASSED [ 25%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_multiple_strings[openai_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] PASSED [ 27%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_encoding_format_float[openai_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] PASSED [ 29%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_dimensions[openai_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] SKIPPED [ 31%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_user_parameter[openai_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] SKIPPED [ 34%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_empty_list_error[openai_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] PASSED [ 36%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_invalid_model_error[openai_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] PASSED [ 38%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_different_inputs_different_outputs[openai_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] PASSED [ 40%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_encoding_format_base64[openai_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] SKIPPED [ 42%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_base64_batch_processing[openai_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] SKIPPED [ 44%]
tests/integration/inference/test_openai_completion.py::test_openai_completion_prompt_logprobs[txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-0] SKIPPED [ 46%]
tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[openai_client-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:chat_completion:non_streaming_02] PASSED [ 48%]
tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[openai_client-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:chat_completion:streaming_02] PASSED [ 51%]
tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[openai_client-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:chat_completion:streaming_02] SKIPPED [ 53%]
tests/integration/inference/test_openai_completion.py::test_inference_store[openai_client-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-False] PASSED [ 55%]
tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[openai_client-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-False] PASSED [ 57%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_single_string[llama_stack_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] PASSED [ 59%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_multiple_strings[llama_stack_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] PASSED [ 61%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_encoding_format_float[llama_stack_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] PASSED [ 63%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_dimensions[llama_stack_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] SKIPPED [ 65%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_user_parameter[llama_stack_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] SKIPPED [ 68%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_empty_list_error[llama_stack_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] PASSED [ 70%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_invalid_model_error[llama_stack_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] PASSED [ 72%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_different_inputs_different_outputs[llama_stack_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] PASSED [ 74%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_encoding_format_base64[llama_stack_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] SKIPPED [ 76%]
tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_base64_batch_processing[llama_stack_client-emb=together/togethercomputer/m2-bert-80M-32k-retrieval] SKIPPED [ 78%]
tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[client_with_models-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:chat_completion:non_streaming_01] PASSED [ 80%]
tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[client_with_models-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:chat_completion:streaming_01] PASSED [ 82%]
tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[client_with_models-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:chat_completion:streaming_01] SKIPPED [ 85%]
tests/integration/inference/test_openai_completion.py::test_inference_store[client_with_models-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-True] PASSED [ 87%]
tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[client_with_models-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-True] PASSED [ 89%]
tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[client_with_models-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:chat_completion:non_streaming_02] PASSED [ 91%]
tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[client_with_models-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:chat_completion:streaming_02] PASSED [ 93%]
tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[client_with_models-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-inference:chat_completion:streaming_02] SKIPPED [ 95%]
tests/integration/inference/test_openai_completion.py::test_inference_store[client_with_models-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-False] PASSED [ 97%]
tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[client_with_models-txt=together/meta-llama/Llama-3.3-70B-Instruct-Turbo-Free-False] PASSED [100%]

============================================ 30 passed, 17 skipped, 50 deselected, 4 warnings in 21.96s =============================================
```
2025-09-16 11:53:41 -07:00
slekkala1
3defdf7d3a
fix: docker failing to start container[pydantic] (#3460)
# What does this PR do?
Pinning to latest pydantic version 2.11.9 as sometime we are picking
older version and failing to start container in github actions :
1775026312
Closes https://github.com/llamastack/llama-stack/issues/3461

## Test Plan
Tested locally with the following commands to start a container

Build container
`llama stack build --distro starter --image-type container`
start container `docker run -d -p 8321:8321 --name llama-stack-test
distribution-starter:0.2.21`
check health http://localhost:8321/v1/health

Couldnt repro with older version(`2.8.2`), but `2.11.9` pydantic is able
to start the container

https://pypi.org/project/pydantic/#history , 2.11.9 is the latest
version
2025-09-16 11:33:43 -07:00
Charlie Doern
6b855af96f
feat: introduce api leveling proposal (#3317)
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Pre-commit / pre-commit (push) Successful in 2m31s
# What does this PR do?

this document outlines different API stability levels, how to enforce
them, and next steps

## Next Steps

Following the adoption of this document, all existing APIs should follow
the enforcement protocol.

relates to #3237

Signed-off-by: Charlie Doern <cdoern@redhat.com>
2025-09-16 18:18:36 +02:00
Sébastien Han
65d45c7318
chore: various watsonx fixes (#3428)
# What does this PR do?

 use a logger
* update the distro to add the Files API otherwise it won't start since
it is a dependency of vector
* clarify project_id and api_key requirements
* disable openai compatible calls since the endpoint returns 404
* disable text_inference structured format tests
* fixed openai client initialization

## Test Plan

Execute text_inference:

```
WATSONX_API_KEY=... WATSONX_PROJECT_ID=... python -m llama_stack.core.server.server llama_stack/distributions/watsonx/run.yaml
LLAMA_STACK_CONFIG=http://localhost:8321 uv run --group test pytest -vvvv -ra --text-model watsonx/meta-llama/llama-3-3-70b-instruct tests/integration/inference/test_text_inference.py

============================================= test session starts ==============================================
platform darwin -- Python 3.12.8, pytest-8.4.2, pluggy-1.6.0 -- /Users/leseb/Documents/AI/llama-stack/.venv/bin/python3
cachedir: .pytest_cache
metadata: {'Python': '3.12.8', 'Platform': 'macOS-15.6.1-arm64-arm-64bit', 'Packages': {'pytest': '8.4.2', 'pluggy': '1.6.0'}, 'Plugins': {'anyio': '4.9.0', 'html': '4.1.1', 'socket': '0.7.0', 'asyncio': '1.1.0', 'json-report': '1.5.0', 'timeout': '2.4.0', 'metadata': '3.1.1', 'cov': '6.2.1', 'nbval': '0.11.0', 'hydra-core': '1.3.2'}}
rootdir: /Users/leseb/Documents/AI/llama-stack
configfile: pyproject.toml
plugins: anyio-4.9.0, html-4.1.1, socket-0.7.0, asyncio-1.1.0, json-report-1.5.0, timeout-2.4.0, metadata-3.1.1, cov-6.2.1, nbval-0.11.0, hydra-core-1.3.2
asyncio: mode=Mode.AUTO, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function
collected 20 items

tests/integration/inference/test_text_inference.py::test_text_completion_non_streaming[txt=watsonx/meta-llama/llama-3-3-70b-instruct-inference:completion:sanity] PASSED [  5%]
tests/integration/inference/test_text_inference.py::test_text_completion_streaming[txt=watsonx/meta-llama/llama-3-3-70b-instruct-inference:completion:sanity] PASSED [ 10%]
tests/integration/inference/test_text_inference.py::test_text_completion_stop_sequence[txt=watsonx/meta-llama/llama-3-3-70b-instruct-inference:completion:stop_sequence] XFAIL [ 15%]
tests/integration/inference/test_text_inference.py::test_text_completion_log_probs_non_streaming[txt=watsonx/meta-llama/llama-3-3-70b-instruct-inference:completion:log_probs] XFAIL [ 20%]
tests/integration/inference/test_text_inference.py::test_text_completion_log_probs_streaming[txt=watsonx/meta-llama/llama-3-3-70b-instruct-inference:completion:log_probs] XFAIL [ 25%]
tests/integration/inference/test_text_inference.py::test_text_completion_structured_output[txt=watsonx/meta-llama/llama-3-3-70b-instruct-inference:completion:structured_output] SKIPPED structured output) [ 30%]
tests/integration/inference/test_text_inference.py::test_text_chat_completion_non_streaming[txt=watsonx/meta-llama/llama-3-3-70b-instruct-inference:chat_completion:non_streaming_01] PASSED [ 35%]
tests/integration/inference/test_text_inference.py::test_text_chat_completion_streaming[txt=watsonx/meta-llama/llama-3-3-70b-instruct-inference:chat_completion:streaming_01] PASSED [ 40%]
tests/integration/inference/test_text_inference.py::test_text_chat_completion_with_tool_calling_and_non_streaming[txt=watsonx/meta-llama/llama-3-3-70b-instruct-inference:chat_completion:tool_calling] PASSED [ 45%]
tests/integration/inference/test_text_inference.py::test_text_chat_completion_with_tool_calling_and_streaming[txt=watsonx/meta-llama/llama-3-3-70b-instruct-inference:chat_completion:tool_calling] PASSED [ 50%]
tests/integration/inference/test_text_inference.py::test_text_chat_completion_with_tool_choice_required[txt=watsonx/meta-llama/llama-3-3-70b-instruct-inference:chat_completion:tool_calling] PASSED [ 55%]
tests/integration/inference/test_text_inference.py::test_text_chat_completion_with_tool_choice_none[txt=watsonx/meta-llama/llama-3-3-70b-instruct-inference:chat_completion:tool_calling] PASSED [ 60%]
tests/integration/inference/test_text_inference.py::test_text_chat_completion_structured_output[txt=watsonx/meta-llama/llama-3-3-70b-instruct-inference:chat_completion:structured_output] SKIPPEDstructured output) [ 65%]
tests/integration/inference/test_text_inference.py::test_text_chat_completion_tool_calling_tools_not_in_request[txt=watsonx/meta-llama/llama-3-3-70b-instruct-inference:chat_completion:tool_calling_tools_absent-True] PASSED [ 70%]
tests/integration/inference/test_text_inference.py::test_text_chat_completion_with_multi_turn_tool_calling[txt=watsonx/meta-llama/llama-3-3-70b-instruct-inference:chat_completion:text_then_tool] XFAIL [ 75%]
tests/integration/inference/test_text_inference.py::test_text_chat_completion_non_streaming[txt=watsonx/meta-llama/llama-3-3-70b-instruct-inference:chat_completion:non_streaming_02] PASSED [ 80%]
tests/integration/inference/test_text_inference.py::test_text_chat_completion_streaming[txt=watsonx/meta-llama/llama-3-3-70b-instruct-inference:chat_completion:streaming_02] PASSED [ 85%]
tests/integration/inference/test_text_inference.py::test_text_chat_completion_tool_calling_tools_not_in_request[txt=watsonx/meta-llama/llama-3-3-70b-instruct-inference:chat_completion:tool_calling_tools_absent-False] PASSED [ 90%]
tests/integration/inference/test_text_inference.py::test_text_chat_completion_with_multi_turn_tool_calling[txt=watsonx/meta-llama/llama-3-3-70b-instruct-inference:chat_completion:tool_then_answer] XFAIL [ 95%]
tests/integration/inference/test_text_inference.py::test_text_chat_completion_with_multi_turn_tool_calling[txt=watsonx/meta-llama/llama-3-3-70b-instruct-inference:chat_completion:array_parameter] XFAIL [100%]

=========================================== short test summary info ============================================
SKIPPED [2] tests/integration/inference/test_text_inference.py:49: Model watsonx/meta-llama/llama-3-3-70b-instruct hosted by remote::watsonx doesn't support json_schema structured output
XFAIL tests/integration/inference/test_text_inference.py::test_text_completion_stop_sequence[txt=watsonx/meta-llama/llama-3-3-70b-instruct-inference:completion:stop_sequence] - remote::watsonx doesn't support 'stop' parameter yet
XFAIL tests/integration/inference/test_text_inference.py::test_text_completion_log_probs_non_streaming[txt=watsonx/meta-llama/llama-3-3-70b-instruct-inference:completion:log_probs] - remote::watsonx doesn't support log probs yet
XFAIL tests/integration/inference/test_text_inference.py::test_text_completion_log_probs_streaming[txt=watsonx/meta-llama/llama-3-3-70b-instruct-inference:completion:log_probs] - remote::watsonx doesn't support log probs yet
XFAIL tests/integration/inference/test_text_inference.py::test_text_chat_completion_with_multi_turn_tool_calling[txt=watsonx/meta-llama/llama-3-3-70b-instruct-inference:chat_completion:text_then_tool] - Not tested for non-llama4 models yet
XFAIL tests/integration/inference/test_text_inference.py::test_text_chat_completion_with_multi_turn_tool_calling[txt=watsonx/meta-llama/llama-3-3-70b-instruct-inference:chat_completion:tool_then_answer] - Not tested for non-llama4 models yet
XFAIL tests/integration/inference/test_text_inference.py::test_text_chat_completion_with_multi_turn_tool_calling[txt=watsonx/meta-llama/llama-3-3-70b-instruct-inference:chat_completion:array_parameter] - Not tested for non-llama4 models yet
============================ 12 passed, 2 skipped, 6 xfailed, 14 warnings in 36.88s ============================
```

---------

Signed-off-by: Sébastien Han <seb@redhat.com>
2025-09-16 13:55:10 +02:00
Matthew Farrellee
f4ab154ade
feat: add dynamic model registration support to TGI inference (#3417)
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# What does this PR do?

adds dynamic model support to TGI

add new overwrite_completion_id feature to OpenAIMixin to deal with TGI
always returning id=""

## Test Plan

tgi: `docker run --gpus all --shm-size 1g -p 8080:80 -v /data:/data
ghcr.io/huggingface/text-generation-inference --model-id
Qwen/Qwen3-0.6B`

stack: `TGI_URL=http://localhost:8080 uv run llama stack build
--image-type venv --distro ci-tests --run`

test: `./scripts/integration-tests.sh --stack-config
http://localhost:8321 --setup tgi --subdirs inference --pattern openai`
2025-09-15 15:52:40 -04:00
IAN MILLER
ab321739f2
feat: create HTTP DELETE API endpoints to unregister ScoringFn and Benchmark resources in Llama Stack (#3371)
# What does this PR do?
<!-- Provide a short summary of what this PR does and why. Link to
relevant issues if applicable. -->
This PR provides functionality for users to unregister ScoringFn and
Benchmark resources for `scoring` and `eval` APIs.

<!-- If resolving an issue, uncomment and update the line below -->
<!-- Closes #[issue-number] -->
Closes #3051 

## 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.* -->
Updated integration and unit tests via CI workflow
2025-09-15 12:43:38 -07:00
Matthew Farrellee
01bdcce4d2
chore(recorder): update mocks to be closer to non-mock environment (#3442)
# What does this PR do?

the @required_args decorator in openai-python is masking the async
nature of the {AsyncCompletions,chat.AsyncCompletions}.create method.
see https://github.com/openai/openai-python/issues/996

this means two things -

 0. we cannot use iscoroutine in the recorder to detect async vs non
 1. our mocks are inappropriately introducing identifiable async

for (0), we update the iscoroutine check w/ detection of /v1/models,
which is the only non-async function we mock & record.

for (1), we could leave everything as is and assume (0) will catch
errors. to be defensive, we update the unit tests to mock below create
methods, allowing the true openai-python create() methods to be tested.
2025-09-15 15:25:53 -04:00
dependabot[bot]
b6cb817897
chore(ui-deps): bump @radix-ui/react-select from 2.2.5 to 2.2.6 in /llama_stack/ui (#3437)
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Bumps [@radix-ui/react-select](https://github.com/radix-ui/primitives)
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chore(ui-deps): bump next from 15.3.3 to 15.5.3 in /llama_stack/ui (#3438)
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<li>fix: relative paths in dev in validator.ts (<a
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<h2>v15.5.1-canary.39</h2>
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Matthew Farrellee
6787755c0c
chore(recorder): add support for NOT_GIVEN (#3430)
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# What does this PR do?

the recorder mocks the openai-python interface. the openai-python
interface allows NOT_GIVEN as an input option. this change properly
handles NOT_GIVEN.


## Test Plan

ci (coverage for chat, completions, embeddings)
2025-09-13 11:11:38 -07:00
Matthew Farrellee
8cf2128b40
chore(tests): always show slowest tests (#3431)
# What does this PR do?

help developers identify slow tests by always passing --duration to
pytest


## Test Plan

n/a
2025-09-13 09:28:04 -07:00
Matthew Farrellee
3de9ad0a87
chore(recorder, tests): add test for openai /v1/models (#3426)
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# What does this PR do?

- [x] adds a test for the recorder's handling of /v1/models
- [x] adds a fix for /v1/models handling

## Test Plan

ci
2025-09-12 14:59:56 -07:00
Doug Edgar
f67081d2d6
feat: migrate to FIPS-validated cryptographic algorithms (#3423)
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# What does this PR do?
Migrates MD5 and SHA-1 hash algorithms to SHA-256.

In particular, replaces:   
   - MD5 in chunk ID generation.
   - MD5 in file verification.
   - SHA-1 in model identifier digests.

And updates all related test expectations.

Original discussion:
https://github.com/llamastack/llama-stack/discussions/3413

<!-- If resolving an issue, uncomment and update the line below -->
Closes #3424.

## Test Plan
Unit tests from scripts/unit-tests.sh were updated to match the new hash
output, and ran to verify the tests pass.

Signed-off-by: Doug Edgar <dedgar@redhat.com>
2025-09-12 11:18:19 +02:00
Akram Ben Aissi
d31e641d69
fix: Improve pre-commit workflow error handling and feedback (#3400)
# What does this PR do?
<!-- Provide a short summary of what this PR does and why. Link to
relevant issues if applicable. -->
fix: Improve pre-commit workflow error handling and feedback

- Add explicit step to check pre-commit results and provide clear error
messages
- Improve verification steps with better error messages and file
listings
- Use GitHub Actions annotations (::error:: and :⚠️:) for better
visibility
- Maintain continue-on-error for pre-commit step but add proper failure
handling

This addresses the issue where pre-commit failures were silent but still
caused workflow failures later, making it difficult to understand what
needed to be fixed.



<!-- If resolving an issue, uncomment and update the line below -->
<!-- Closes #[issue-number] -->

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<!-- Describe the tests you ran to verify your changes with result
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Signed-off-by: Akram Ben Aissi <akram.benaissi@gmail.com>
2025-09-12 11:10:59 +02:00
Charlie Doern
69a52213a1
fix: oasdiff enhancements and stability (#3419)
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# What does this PR do?

only run conformance tests when the spec is changed.

Also, cache oasdiff such that it is not installed every time the test is
run

Signed-off-by: Charlie Doern <cdoern@redhat.com>
2025-09-11 13:30:09 -07:00
slekkala1
c7ef1f13df
feat: Add langchain llamastack Integration example notebook (#3314)
# What does this PR do?
The notebook was
reverted(https://github.com/llamastack/llama-stack/pull/3259) as it had
some local paths, I missed correcting. Trying with corrections now


## Test Plan
Ran the Jupyter notebook
2025-09-11 11:10:41 -07:00
Matthew Farrellee
72387b4bd2
chore(unit tests): remove network use, update async test (#3418)
# What does this PR do?

update the async detection test for vllm

- remove a network access from unit tests
- remove direct logging use

the idea behind the test is to mock inference w/ a sleep, initiate
concurrent inference calls, verify the total execution time is close to
the sleep time. in a non-async env the total time would be closer to
sleep * num concurrent calls.


## Test Plan

ci
2025-09-11 11:45:16 -04:00
Matthew Farrellee
8ef1189be7
chore: update the vLLM inference impl to use OpenAIMixin for openai-compat functions (#3404)
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# What does this PR do?

update vLLM inference provider to use OpenAIMixin for openai-compat
functions

inference recordings from Qwen3-0.6B and vLLM 0.8.3 -
```
docker run --gpus all -v ~/.cache/huggingface:/root/.cache/huggingface -p 8000:8000 --ipc=host \
    vllm/vllm-openai:latest \
    --model Qwen/Qwen3-0.6B --enable-auto-tool-choice --tool-call-parser hermes
```

## Test Plan

```
./scripts/integration-tests.sh --stack-config server:ci-tests --setup vllm --subdirs inference
```
2025-09-11 09:04:38 -04:00
Francisco Arceo
d15368a302
chore: Updating documentation, adding exception handling for Vector Stores in RAG Tool, more tests on migration, and migrate off of inference_api for context_retriever for RAG (#3367)
# What does this PR do?

- Updating documentation on migration from RAG Tool to Vector Stores and
Files APIs
- Adding exception handling for Vector Stores in RAG Tool
- Add more tests on migration from RAG Tool to Vector Stores
- Migrate off of inference_api for context_retriever for RAG

<!-- If resolving an issue, uncomment and update the line below -->
<!-- Closes #[issue-number] -->

## Test Plan
Integration and unit tests added

Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
2025-09-11 14:20:11 +02:00