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| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
Matthew Farrellee
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975ead1d6a
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chore(api): remove deprecated embeddings impls (#3301)
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# What does this PR do? remove deprecated embeddings implementations |
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Kai Wu
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aab22dc759
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fix: adding mime type of application/json support (#3452)
# What does this PR do?
<!-- Provide a short summary of what this PR does and why. Link to
relevant issues if applicable. -->
This PR fix #3300 by adding mime type of application/json support in
[agent_instance.py](
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ehhuang
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8ab6684a94
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chore: introduce write queue for response_store (#3497)
# What does this PR do? Mirroring the same changes that was used for inference_store: https://github.com/llamastack/llama-stack/pull/3383 Will follow up with a shared internal API for managing these write queues. ## Test Plan existing tests |
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Tami Takamiya
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65f7b81e98
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feat: Add items and title to ToolParameter/ToolParamDefinition (#3003)
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# What does this PR do? <!-- Provide a short summary of what this PR does and why. Link to relevant issues if applicable. --> Add items and title to ToolParameter/ToolParamDefinition. Adding items will resolve the issue that occurs with Gemini LLM when an MCP tool has array-type properties. <!-- 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.* --> Unite test cases will be added. --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: Kai Wu <kaiwu@meta.com> Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com> |
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ehhuang
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c392f3a0f4
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chore: remove extra logging (#3574)
# What does this PR do? This is already logged by console processor as INFO <img width="1093" height="280" alt="image" src="https://github.com/user-attachments/assets/780b0ac2-6744-49d7-b1d4-b7204050a6dc" /> ## Test Plan |
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Matthew Farrellee
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0d94f3e2c0
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chore: recordings for fireworks (inference + openai) (#3573)
# What does this PR do? recorded for: ./scripts/integration-tests.sh --stack-config server:ci-tests --suite base --setup fireworks --subdirs inference --pattern openai ## Test Plan ./scripts/integration-tests.sh --stack-config server:ci-tests --suite base --setup fireworks --subdirs inference --pattern openai |
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Matthew Farrellee
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53b15725b6
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chore(apis): unpublish deprecated /v1/inference apis (#3297)
# What does this PR do? unpublish (make unavailable to users) the following apis - - `/v1/inference/completion`, replaced by `/v1/openai/v1/completions` - `/v1/inference/chat-completion`, replaced by `/v1/openai/v1/chat/completions` - `/v1/inference/embeddings`, replaced by `/v1/openai/v1/embeddings` - `/v1/inference/batch-completion`, replaced by `/v1/openai/v1/batches` - `/v1/inference/batch-chat-completion`, replaced by `/v1/openai/v1/batches` note: the implementations are still available for internal use, e.g. agents uses chat-completion. |
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Matthew Farrellee
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60484c5c4e
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chore(api): remove batch inference (#3261)
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# What does this PR do? APIs removed: - POST /v1/batch-inference/completion - POST /v1/batch-inference/chat-completion - POST /v1/inference/batch-completion - POST /v1/inference/batch-chat-completion note - - batch-completion & batch-chat-completion were only implemented for inference=inline::meta-reference - batch-inference were not implemented |
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Matthew Farrellee
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b48d5cfed7
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feat(internal): add image_url download feature to OpenAIMixin (#3516)
# What does this PR do? simplify Ollama inference adapter by - - moving image_url download code to OpenAIMixin - being a ModelRegistryHelper instead of having one (mypy blocks check_model_availability method assignment) ## Test Plan - add unit tests for new download feature - add integration tests for openai_chat_completion w/ image_url (close test gap) |
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Matthew Farrellee
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da5ea107fc
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fix: ensure ModelRegistryHelper init for together and fireworks (#3572)
# What does this PR do?
address -
```
ERROR 2025-09-26 10:44:29,450 main:527 core::server: Error creating app: 'FireworksInferenceAdapter' object has no attribute
'alias_to_provider_id_map'
```
## Test Plan
manual startup w/ valid together & fireworks api keys
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Matthew Farrellee
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926c3ada41
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chore: prune mypy exclude list (#3561)
# What does this PR do? prune the mypy exclude list, build a stronger foundation for quality code ## Test Plan ci |
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Matthew Farrellee
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65e01b5684 |
feat: together now supports base64 embedding encoding (#3559)
# What does this PR do? use together's new base64 support ## Test Plan recordings for: ./scripts/integration-tests.sh --stack-config server:ci-tests --suite base --setup together --subdirs inference --pattern openai |
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Doug Edgar
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9c751b6789
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feat: use FIPS validated CSPRNG for telemetry (#3554)
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# What does this PR do? Switches from `random.getrandbits` to `secrets.randbits` in the telemetry module. <!-- If resolving an issue, uncomment and update the line below --> Closes #3553 ## Test Plan Unit tests from scripts/unit-tests.sh were ran to verify the tests still pass. Signed-off-by: Doug Edgar <dedgar@redhat.com> |
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Matthew Farrellee
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b67aef2fc4
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feat: add static embedding metadata to dynamic model listings for providers using OpenAIMixin (#3547)
# What does this PR do? - remove auto-download of ollama embedding models - add embedding model metadata to dynamic listing w/ unit test - add support and tests for allowed_models - removed inference provider models.py files where dynamic listing is enabled - store embedding metadata in embedding_model_metadata field on inference providers - make model_entries optional on ModelRegistryHelper and LiteLLMOpenAIMixin - make OpenAIMixin a ModelRegistryHelper - skip base64 embedding test for remote::ollama, always returns floats - only use OpenAI client for ollama model listing - remove unused build_model_entry function - remove unused get_huggingface_repo function ## Test Plan ci w/ new tests |
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Alexey Rybak
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d23865757f
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docs: provider and distro codegen migration (#3531)
# 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] --> - Updates provider and distro codegen to handle the new format - Migrates provider and distro files to the new format ## Test Plan - Manual testing <!-- Describe the tests you ran to verify your changes with result summaries. *Provide clear instructions so the plan can be easily re-executed.* --> |
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Matthew Farrellee
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ce7a3b4dff
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feat: update Cerebras inference provider to support dynamic model listing (#3481)
# What does this PR do? - update Cerebras to use OpenAIMixin - enable openai completions tests - enable openai chat completions tests - disable with n > 1 tests - add recording for --setup cerebras --subdirs inference --pattern openai ## Test Plan `./scripts/integration-tests.sh --stack-config server:ci-tests --setup cerebras --subdirs inference --pattern openai` ``` tests/integration/inference/test_openai_completion.py::test_openai_completion_non_streaming[txt=cerebras/llama-3.3-70b-inference:completion:sanity] instantiating llama_stack_client Port 8321 is already in use, assuming server is already running... llama_stack_client instantiated in 0.053s PASSED [ 2%] tests/integration/inference/test_openai_completion.py::test_openai_completion_non_streaming_suffix[txt=cerebras/llama-3.3-70b-inference:completion:suffix] SKIPPED (Suffix is not supported for the model: cerebras/llama-3.3-70b.) [ 4%] tests/integration/inference/test_openai_completion.py::test_openai_completion_streaming[txt=cerebras/llama-3.3-70b-inference:completion:sanity] PASSED [ 6%] tests/integration/inference/test_openai_completion.py::test_openai_completion_prompt_logprobs[txt=cerebras/llama-3.3-70b-1] SKIPPED (Model cerebras/llama-3.3-70b hosted by remote::cerebras doesn't support vllm extra_body parameters.) [ 8%] tests/integration/inference/test_openai_completion.py::test_openai_completion_guided_choice[txt=cerebras/llama-3.3-70b] SKIPPED (Model cerebras/llama-3.3-70b hosted by remote::cerebras doesn't support vllm extra_body parameters.) [ 10%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[openai_client-txt=cerebras/llama-3.3-70b-inference:chat_completion:non_streaming_01] PASSED [ 12%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[openai_client-txt=cerebras/llama-3.3-70b-inference:chat_completion:streaming_01] PASSED [ 14%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[openai_client-txt=cerebras/llama-3.3-70b-inference:chat_completion:streaming_01] SKIPPED (Model cerebras/llama-3.3-70b hosted by remote::cere...) [ 17%] tests/integration/inference/test_openai_completion.py::test_inference_store[openai_client-txt=cerebras/llama-3.3-70b-True] PASSED [ 19%] tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[openai_client-txt=cerebras/llama-3.3-70b-True] PASSED [ 21%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming_with_file[txt=cerebras/llama-3.3-70b] SKIPPED (Model cerebras/llama-3.3-70b hosted by remote::cerebras doesn't support chat completion calls wit...) [ 23%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_single_string[openai_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 25%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_multiple_strings[openai_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 27%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_encoding_format_float[openai_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 29%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_dimensions[openai_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 31%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_user_parameter[openai_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 34%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_empty_list_error[openai_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 36%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_invalid_model_error[openai_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 38%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_different_inputs_different_outputs[openai_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 40%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_encoding_format_base64[openai_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 42%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_base64_batch_processing[openai_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 44%] tests/integration/inference/test_openai_completion.py::test_openai_completion_prompt_logprobs[txt=cerebras/llama-3.3-70b-0] SKIPPED (Model cerebras/llama-3.3-70b hosted by remote::cerebras doesn't support vllm extra_body parameters.) [ 46%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[openai_client-txt=cerebras/llama-3.3-70b-inference:chat_completion:non_streaming_02] PASSED [ 48%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[openai_client-txt=cerebras/llama-3.3-70b-inference:chat_completion:streaming_02] PASSED [ 51%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[openai_client-txt=cerebras/llama-3.3-70b-inference:chat_completion:streaming_02] SKIPPED (Model cerebras/llama-3.3-70b hosted by remote::cere...) [ 53%] tests/integration/inference/test_openai_completion.py::test_inference_store[openai_client-txt=cerebras/llama-3.3-70b-False] PASSED [ 55%] tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[openai_client-txt=cerebras/llama-3.3-70b-False] PASSED [ 57%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_single_string[llama_stack_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 59%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_multiple_strings[llama_stack_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 61%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_encoding_format_float[llama_stack_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 63%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_dimensions[llama_stack_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 65%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_user_parameter[llama_stack_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 68%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_empty_list_error[llama_stack_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 70%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_invalid_model_error[llama_stack_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 72%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_different_inputs_different_outputs[llama_stack_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 74%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_with_encoding_format_base64[llama_stack_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 76%] tests/integration/inference/test_openai_embeddings.py::test_openai_embeddings_base64_batch_processing[llama_stack_client-cerebras/llama-3.3-70b-None-None-None-384] SKIPPED (embedding_model_id empty - skipping test) [ 78%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[client_with_models-txt=cerebras/llama-3.3-70b-inference:chat_completion:non_streaming_01] PASSED [ 80%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[client_with_models-txt=cerebras/llama-3.3-70b-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=cerebras/llama-3.3-70b-inference:chat_completion:streaming_01] SKIPPED (Model cerebras/llama-3.3-70b hosted by remote:...) [ 85%] tests/integration/inference/test_openai_completion.py::test_inference_store[client_with_models-txt=cerebras/llama-3.3-70b-True] PASSED [ 87%] tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[client_with_models-txt=cerebras/llama-3.3-70b-True] PASSED [ 89%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[client_with_models-txt=cerebras/llama-3.3-70b-inference:chat_completion:non_streaming_02] PASSED [ 91%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[client_with_models-txt=cerebras/llama-3.3-70b-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=cerebras/llama-3.3-70b-inference:chat_completion:streaming_02] SKIPPED (Model cerebras/llama-3.3-70b hosted by remote:...) [ 95%] tests/integration/inference/test_openai_completion.py::test_inference_store[client_with_models-txt=cerebras/llama-3.3-70b-False] PASSED [ 97%] tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[client_with_models-txt=cerebras/llama-3.3-70b-False] PASSED [100%] =================================================================================================================== slowest 10 durations ==================================================================================================================== 0.37s call tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[openai_client-txt=cerebras/llama-3.3-70b-inference:chat_completion:non_streaming_01] 0.34s call tests/integration/inference/test_openai_completion.py::test_inference_store[openai_client-txt=cerebras/llama-3.3-70b-False] 0.18s call tests/integration/inference/test_openai_completion.py::test_inference_store[client_with_models-txt=cerebras/llama-3.3-70b-True] 0.17s setup tests/integration/inference/test_openai_completion.py::test_openai_completion_non_streaming[txt=cerebras/llama-3.3-70b-inference:completion:sanity] 0.15s call tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[client_with_models-txt=cerebras/llama-3.3-70b-True] 0.13s call tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[openai_client-txt=cerebras/llama-3.3-70b-True] 0.12s call tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[client_with_models-txt=cerebras/llama-3.3-70b-False] 0.12s call tests/integration/inference/test_openai_completion.py::test_inference_store[openai_client-txt=cerebras/llama-3.3-70b-True] 0.12s call tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[openai_client-txt=cerebras/llama-3.3-70b-False] 0.08s call tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[client_with_models-txt=cerebras/llama-3.3-70b-inference:chat_completion:streaming_02] ================================================================================================================== short test summary info ================================================================================================================== SKIPPED [1] tests/integration/inference/test_openai_completion.py:75: Suffix is not supported for the model: cerebras/llama-3.3-70b. SKIPPED [3] tests/integration/inference/test_openai_completion.py:123: Model cerebras/llama-3.3-70b hosted by remote::cerebras doesn't support vllm extra_body parameters. SKIPPED [4] tests/integration/inference/test_openai_completion.py:103: Model cerebras/llama-3.3-70b hosted by remote::cerebras doesn't support n param. SKIPPED [1] tests/integration/inference/test_openai_completion.py:129: Model cerebras/llama-3.3-70b hosted by remote::cerebras doesn't support chat completion calls with base64 encoded files. SKIPPED [2] tests/integration/inference/test_openai_embeddings.py:90: embedding_model_id empty - skipping test SKIPPED [2] tests/integration/inference/test_openai_embeddings.py:112: embedding_model_id empty - skipping test SKIPPED [2] tests/integration/inference/test_openai_embeddings.py:136: embedding_model_id empty - skipping test SKIPPED [2] tests/integration/inference/test_openai_embeddings.py:154: embedding_model_id empty - skipping test SKIPPED [2] tests/integration/inference/test_openai_embeddings.py:175: embedding_model_id empty - skipping test SKIPPED [2] tests/integration/inference/test_openai_embeddings.py:195: embedding_model_id empty - skipping test SKIPPED [2] tests/integration/inference/test_openai_embeddings.py:206: embedding_model_id empty - skipping test SKIPPED [2] tests/integration/inference/test_openai_embeddings.py:217: embedding_model_id empty - skipping test SKIPPED [2] tests/integration/inference/test_openai_embeddings.py:244: embedding_model_id empty - skipping test SKIPPED [2] tests/integration/inference/test_openai_embeddings.py:278: embedding_model_id empty - skipping test ================================================================================================= 18 passed, 29 skipped, 50 deselected, 4 warnings in 3.02s ================================================================================================= ``` |
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|
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 |
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|
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 ... ``` |
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|
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 =========================================== ``` |
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slekkala1
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8d8261961e
|
chore: Refactor fireworks to use OpenAIMixin (#3480)
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# 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 ``` |
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|
Kai Wu
|
e3fd70c321
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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') ``` |
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Matthew Farrellee
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e2e42c8a37
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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 |
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Matthew Farrellee
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142a38db8b
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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 |
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ehhuang
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f44eb935c4
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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 |
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Sébastien Han
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d3600b92d1
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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> |
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Charlie Doern
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8422bd102a
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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> |
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Matthew Farrellee
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ea396a54cd
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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 |
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Matthew Farrellee
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521865c388
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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 |
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Akram Ben Aissi
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4842145202
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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> |
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Doug Edgar
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42c23b45f6
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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> |
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Matthew Farrellee
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49d4a5cc84
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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%] 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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%] 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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 ============================================= ``` |
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Sébastien Han
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65d45c7318
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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> |
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Matthew Farrellee
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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` |
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IAN MILLER
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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 |
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Doug Edgar
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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> |
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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
```
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Francisco Arceo
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d15368a302
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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> |
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Sébastien Han
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f31bcc11bc
|
feat: add Azure OpenAI inference provider support (#3396)
# What does this PR do? Llama-stack now supports a new OpenAI compatible endpoint with Azure OpenAI. The starter distro has been updated to add the new remote inference provider. A few tests have been modified and improved. ## Test Plan Deploy a model in the Aure portal then: ``` $ AZURE_API_KEY=... AZURE_API_BASE=... uv run llama stack build --image-type venv --providers inference=remote::azure --run ... $ LLAMA_STACK_CONFIG=http://localhost:8321 uv run --group test pytest -v -ra --text-model azure/gpt-4.1 tests/integration/inference/test_openai_completion.py ... Results: ``` ============================================= test session starts ============================================== platform darwin -- Python 3.12.8, pytest-8.4.1, 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': '8.4.1', '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 27 items tests/integration/inference/test_openai_completion.py::test_openai_completion_non_streaming[txt=azure/gpt-5-mini-inference:completion:sanity] SKIPPED [ 3%] tests/integration/inference/test_openai_completion.py::test_openai_completion_non_streaming_suffix[txt=azure/gpt-5-mini-inference:completion:suffix] SKIPPED [ 7%] tests/integration/inference/test_openai_completion.py::test_openai_completion_streaming[txt=azure/gpt-5-mini-inference:completion:sanity] SKIPPED [ 11%] tests/integration/inference/test_openai_completion.py::test_openai_completion_prompt_logprobs[txt=azure/gpt-5-mini-1] SKIPPED [ 14%] tests/integration/inference/test_openai_completion.py::test_openai_completion_guided_choice[txt=azure/gpt-5-mini] SKIPPED [ 18%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[openai_client-txt=azure/gpt-5-mini-inference:chat_completion:non_streaming_01] PASSED [ 22%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[openai_client-txt=azure/gpt-5-mini-inference:chat_completion:streaming_01] PASSED [ 25%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[openai_client-txt=azure/gpt-5-mini-inference:chat_completion:streaming_01] PASSED [ 29%] tests/integration/inference/test_openai_completion.py::test_inference_store[openai_client-txt=azure/gpt-5-mini-True] PASSED [ 33%] tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[openai_client-txt=azure/gpt-5-mini-True] PASSED [ 37%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming_with_file[txt=azure/gpt-5-mini] SKIPPEDed files.) [ 40%] tests/integration/inference/test_openai_completion.py::test_openai_completion_prompt_logprobs[txt=azure/gpt-5-mini-0] SKIPPED [ 44%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[openai_client-txt=azure/gpt-5-mini-inference:chat_completion:non_streaming_02] PASSED [ 48%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[openai_client-txt=azure/gpt-5-mini-inference:chat_completion:streaming_02] PASSED [ 51%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[openai_client-txt=azure/gpt-5-mini-inference:chat_completion:streaming_02] PASSED [ 55%] tests/integration/inference/test_openai_completion.py::test_inference_store[openai_client-txt=azure/gpt-5-mini-False] PASSED [ 59%] tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[openai_client-txt=azure/gpt-5-mini-False] PASSED [ 62%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[client_with_models-txt=azure/gpt-5-mini-inference:chat_completion:non_streaming_01] PASSED [ 66%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[client_with_models-txt=azure/gpt-5-mini-inference:chat_completion:streaming_01] PASSED [ 70%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[client_with_models-txt=azure/gpt-5-mini-inference:chat_completion:streaming_01] PASSED [ 74%] tests/integration/inference/test_openai_completion.py::test_inference_store[client_with_models-txt=azure/gpt-5-mini-True] PASSED [ 77%] tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[client_with_models-txt=azure/gpt-5-mini-True] PASSED [ 81%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_non_streaming[client_with_models-txt=azure/gpt-5-mini-inference:chat_completion:non_streaming_02] PASSED [ 85%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming[client_with_models-txt=azure/gpt-5-mini-inference:chat_completion:streaming_02] PASSED [ 88%] tests/integration/inference/test_openai_completion.py::test_openai_chat_completion_streaming_with_n[client_with_models-txt=azure/gpt-5-mini-inference:chat_completion:streaming_02] PASSED [ 92%] tests/integration/inference/test_openai_completion.py::test_inference_store[client_with_models-txt=azure/gpt-5-mini-False] PASSED [ 96%] tests/integration/inference/test_openai_completion.py::test_inference_store_tool_calls[client_with_models-txt=azure/gpt-5-mini-False] PASSED [100%] =========================================== short test summary info ============================================ SKIPPED [3] tests/integration/inference/test_openai_completion.py:63: Model azure/gpt-5-mini hosted by remote::azure doesn't support OpenAI completions. SKIPPED [3] tests/integration/inference/test_openai_completion.py:118: Model azure/gpt-5-mini hosted by remote::azure doesn't support vllm extra_body parameters. SKIPPED [1] tests/integration/inference/test_openai_completion.py:124: Model azure/gpt-5-mini hosted by remote::azure doesn't support chat completion calls with base64 encoded files. ================================== 20 passed, 7 skipped, 2 warnings in 51.77s ================================== ``` Signed-off-by: Sébastien Han <seb@redhat.com> |
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Sumanth Kamenani
|
2838d5a20f
|
fix: AWS Bedrock inference profile ID conversion for region-specific endpoints (#3386)
Fixes #3370 AWS switched to requiring region-prefixed inference profile IDs instead of foundation model IDs for on-demand throughput. This was causing ValidationException errors. Added auto-detection based on boto3 client region to convert model IDs like meta.llama3-1-70b-instruct-v1:0 to us.meta.llama3-1-70b-instruct-v1:0 depending on the detected region. Also handles edge cases like ARNs, case insensitive regions, and None regions. Tested with this request. ```json { "model_id": "meta.llama3-1-8b-instruct-v1:0", "messages": [ { "role": "system", "content": "You are a helpful assistant." }, { "role": "user", "content": "tell me a riddle" } ], "sampling_params": { "strategy": { "type": "top_p", "temperature": 0.7, "top_p": 0.9 }, "max_tokens": 512 } } ``` <img width="1488" height="878" alt="image" src="https://github.com/user-attachments/assets/0d61beec-3869-4a31-8f37-9f554c280b88" /> |
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Sébastien Han
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8e05c68d15
|
chore: remove openai dependency from providers (#3398)
# What does this PR do? The openai package is already a dependency of the llama-stack project itself, so let's the project dictate which openai version we need and avoid potential breakage with unsatisfiable dependency resolution. Signed-off-by: Sébastien Han <seb@redhat.com> |
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Ashwin Bharambe
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0c7f49490c
|
fix(inference_store): on duplicate chat completion IDs, replace (#3408)
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# What does this PR do? Duplicate chat completion IDs can be generated during tests especially if they are replaying recorded responses across different tests. No need to warn or error under those circumstances. In the wild, this is not likely to happen at all (no evidence) so we aren't really hiding any problem. |
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ehhuang
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e980436a2e
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chore: introduce write queue for inference_store (#3383)
# What does this PR do? Adds a write worker queue for writes to inference store. This avoids overwhelming request processing with slow inference writes. ## Test Plan Benchmark: ``` cd /docs/source/distributions/k8s-benchmark # start mock server python openai-mock-server.py --port 8000 # start stack server LLAMA_STACK_LOGGING="all=WARNING" uv run --with llama-stack python -m llama_stack.core.server.server docs/source/distributions/k8s-benchmark/stack_run_config.yaml # run benchmark script uv run python3 benchmark.py --duration 120 --concurrent 50 --base-url=http://localhost:8321/v1/openai/v1 --model=vllm-inference/meta-llama/Llama-3.2-3B-Instruct ``` ## RPS from 21 -> 57 |
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ehhuang
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f6bf36343d
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chore: logging perf improvments (#3393)
# What does this PR do? - Use BackgroundLogger when logging metric events. - Reuse event loop in BackgroundLogger ## Test Plan ``` cd /docs/source/distributions/k8s-benchmark # start mock server python openai-mock-server.py --port 8000 # start stack server LLAMA_STACK_LOGGING="all=WARNING" uv run --with llama-stack python -m llama_stack.core.server.server docs/source/distributions/k8s-benchmark/stack_run_config.yaml # run benchmark script uv run python3 benchmark.py --duration 120 --concurrent 50 --base-url=http://localhost:8321/v1/openai/v1 --model=vllm-inference/meta-llama/Llama-3.2-3B-Instruct ``` ### RPS from 57 -> 62 |
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Sébastien Han
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c86e45496e
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ci: Re-enable pre-commit to fail (#3399)
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If pre-commit fails, the workflow must fail. --------- Signed-off-by: Sébastien Han <seb@redhat.com> |
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Matthew Farrellee
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0e27016cf2
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chore: update the vertexai inference impl to use openai-python for openai-compat functions (#3377)
# What does this PR do? update VertexAI inference provider to use openai-python for openai-compat functions ## Test Plan ``` $ VERTEX_AI_PROJECT=... uv run llama stack build --image-type venv --providers inference=remote::vertexai --run ... $ LLAMA_STACK_CONFIG=http://localhost:8321 uv run --group test pytest -v -ra --text-model vertexai/vertex_ai/gemini-2.5-flash tests/integration/inference/test_openai_completion.py ... ``` i don't have an account to test this. `get_api_key` may also need to be updated per https://cloud.google.com/vertex-ai/generative-ai/docs/start/openai --------- Signed-off-by: Sébastien Han <seb@redhat.com> Co-authored-by: Sébastien Han <seb@redhat.com> |
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Cesare Pompeiano
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1c23aeb937
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feat: Add vector_db_id to chunk metadata (#3304)
# What does this PR do?
When running RAG in a multi vector DB setting, it can be difficult to
trace where retrieved chunks originate from. This PR adds the
`vector_db_id` into each chunk’s metadata, making it easier to
understand which database a given chunk came from. This is helpful for
debugging and for analyzing retrieval behavior of multiple DBs.
Relevant code:
```python
for vector_db_id, result in zip(vector_db_ids, results):
for chunk, score in zip(result.chunks, result.scores):
if not hasattr(chunk, "metadata") or chunk.metadata is None:
chunk.metadata = {}
chunk.metadata["vector_db_id"] = vector_db_id
chunks.append(chunk)
scores.append(score)
```
## Test Plan
* Ran Llama Stack in debug mode.
* Verified that `vector_db_id` was added to each chunk’s metadata.
* Confirmed that the metadata was printed in the console when using the
RAG tool.
---------
Co-authored-by: are-ces <cpompeia@redhat.com>
Co-authored-by: Francisco Arceo <arceofrancisco@gmail.com>
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Ashwin Bharambe
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30468d0c43
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fix(deps): bump datasets versions for all providers (#3382)
Not doing so results in errors of the kind you see in:
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Matthew Farrellee
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6a35bd7bb6
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chore: update the anthropic inference impl to use openai-python for openai-compat functions (#3366)
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# What does this PR do? update the Anthropic inference provider to use openai-python for the openai-compat endpoints ## Test Plan ci Co-authored-by: raghotham <rsm@meta.com> |
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Matthew Farrellee
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d23607483f
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chore: update the groq inference impl to use openai-python for openai-compat functions (#3348)
# What does this PR do? update Groq inference provider to use OpenAIMixin for openai-compat endpoints changes on api.groq.com - - json_schema is now supported for specific models, see https://console.groq.com/docs/structured-outputs#supported-models - response_format with streaming is now supported for models that support response_format - groq no longer returns a 400 error if tools are provided and tool_choice is not "required" ## Test Plan ``` $ GROQ_API_KEY=... uv run llama stack build --image-type venv --providers inference=remote::groq --run ... $ LLAMA_STACK_CONFIG=http://localhost:8321 uv run --group test pytest -v -ra --text-model groq/llama-3.3-70b-versatile tests/integration/inference/test_openai_completion.py -k 'not store' ... SKIPPED [3] tests/integration/inference/test_openai_completion.py:44: Model groq/llama-3.3-70b-versatile hosted by remote::groq doesn't support OpenAI completions. SKIPPED [3] tests/integration/inference/test_openai_completion.py:94: Model groq/llama-3.3-70b-versatile hosted by remote::groq doesn't support vllm extra_body parameters. SKIPPED [4] tests/integration/inference/test_openai_completion.py:73: Model groq/llama-3.3-70b-versatile hosted by remote::groq doesn't support n param. SKIPPED [1] tests/integration/inference/test_openai_completion.py💯 Model groq/llama-3.3-70b-versatile hosted by remote::groq doesn't support chat completion calls with base64 encoded files. ======================= 8 passed, 11 skipped, 8 deselected, 2 warnings in 5.13s ======================== ``` --------- Co-authored-by: raghotham <rsm@meta.com> |
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Matthew Farrellee
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bf02cd846f
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chore: update the sambanova inference impl to use openai-python for openai-compat functions (#3345)
# What does this PR do? update SambaNova inference provider to use OpenAIMixin for openai-compat endpoints ## Test Plan ``` $ SAMBANOVA_API_KEY=... uv run llama stack build --image-type venv --providers inference=remote::sambanova --run ... $ LLAMA_STACK_CONFIG=http://localhost:8321 uv run --group test pytest -v -ra --text-model sambanova/Meta-Llama-3.3-70B-Instruct tests/integration/inference -k 'not store' ... FAILED tests/integration/inference/test_text_inference.py::test_text_chat_completion_tool_calling_tools_not_in_request[txt=sambanova/Meta-Llama-3.3-70B-Instruct-inference:chat_completion:tool_calling_tools_absent-True] - AttributeError: 'NoneType' object has no attribute 'delta' FAILED tests/integration/inference/test_text_inference.py::test_text_chat_completion_tool_calling_tools_not_in_request[txt=sambanova/Meta-Llama-3.3-70B-Instruct-inference:chat_completion:tool_calling_tools_absent-False] - llama_stack_client.InternalServerError: Error code: 500 - {'detail': 'Internal server error: An une... =========== 2 failed, 16 passed, 68 skipped, 8 deselected, 3 xfailed, 13 warnings in 15.85s ============ ``` the two failures also exist before this change. they are part of the deprecated inference.chat_completion tests that flow through litellm. they can be resolved later. |