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77d2c8e95d
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docs: clarify run.yaml files are starting points for customization (#2746)
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# What does this PR do? This PR improves documentation clarity around run.yaml file usage. It adds comprehensive guidance to help users understand that generated run.yaml files are templates meant to be customized for production use, not used as-is. ## Changes - Add new documentation section on customizing run.yaml files - Clarify that generated run.yaml files are templates, not production configs - Add guidance on customization best practices and common scenarios - Update existing documentation to reference customization guide - Improve clarity around run.yaml file usage for better user experience ## Test Plan - Verified new documentation file exists at correct location - Confirmed documentation is properly integrated into the toctree structure - Checked all internal links use correct paths and reference existing files - Validated references are added to relevant existing documentation files - Documentation build testing will be handled by CI environment |
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618ccea090
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feat: add input validation for search mode of rag query config (#2275)
# What does this PR do? Adds input validation for mode in RagQueryConfig This will prevent users from inputting search modes other than `vector` and `keyword` for the time being with `hybrid` to follow when that functionality is implemented. ## 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.*] ``` # Check out this PR and enter the LS directory uv sync --extra dev ``` Run the quickstart [example](https://llama-stack.readthedocs.io/en/latest/getting_started/#step-3-run-the-demo) Alter the Agent to include a query_config ``` agent = Agent( client, model=model_id, instructions="You are a helpful assistant", tools=[ { "name": "builtin::rag/knowledge_search", "args": { "vector_db_ids": [vector_db_id], "query_config": { "mode": "i-am-not-vector", # Test for non valid search mode "max_chunks": 6 } }, } ], ) ``` Ensure you get the following error: ``` 400: {'errors': [{'loc': ['mode'], 'msg': "Value error, mode must be either 'vector' or 'keyword' if supported by the vector_io provider", 'type': 'value_error'}]} ``` ## Running unit tests ``` uv sync --extra dev uv run pytest tests/unit/rag/test_rag_query.py -v ``` [//]: # (## Documentation) |
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958fc92b1b
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feat: Add Vector stores UI (#2737)
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# What does this PR do? - Adds two pages to UI - Vector stores - Vector store detail view - Fixed darkmode navbar highlighting - Updated darkmode font color - Updated llama-stack-client package <img width="1916" height="734" alt="Screenshot 2025-07-12 at 11 34 35 PM" src="https://github.com/user-attachments/assets/3f9b6727-ee82-4e6b-9555-2e3ef36d24d2" /> <img width="1912" height="910" alt="Screenshot 2025-07-12 at 11 57 09 PM" src="https://github.com/user-attachments/assets/0c9d3b5e-5592-4dfb-8e04-a57edc9fb406" /> ## Test Plan <!-- Describe the tests you ran to verify your changes with result summaries. *Provide clear instructions so the plan can be easily re-executed.* --> --------- Signed-off-by: Francisco Javier Arceo <farceo@redhat.com> |
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68e7978c88
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chore: block network access from unit tests (#2732)
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# What does this PR do? this blocks network access for all `tests/unit/` tests. `tests/integration/` are untouched. it also introduces an `allow_network` marker to explicitly allow network access. ## Test Plan `./scripts/unit-tests.sh` |
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8374d4cefd
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chore(github-deps): bump medyagh/setup-minikube from 0.0.19 to 0.0.20 (#2738) | ||
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51d9fd4808
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fix: Don't cache clients for passthrough auth providers (#2728)
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# What does this PR do? Some of our inference providers support passthrough authentication via `x-llamastack-provider-data` header values. This fixes the providers that support passthrough auth to not cache their clients to the backend providers (mostly OpenAI client instances) so that the client connecting to Llama Stack has to provide those auth values on each and every request. ## Test Plan I added some unit tests to ensure we're not caching clients across requests for all the fixed providers in this PR. ``` uv run pytest -sv tests/unit/providers/inference/test_inference_client_caching.py ``` I also ran some of our OpenAI compatible API integration tests for each of the changed providers, just to ensure they still work. Note that these providers don't actually pass all these tests (for unrelated reasons due to quirks of the Groq and Together SaaS services), but enough of the tests passed to confirm the clients are still working as intended. ### Together ``` ENABLE_TOGETHER="together" \ uv run llama stack run llama_stack/templates/starter/run.yaml LLAMA_STACK_CONFIG=http://localhost:8321 \ uv run pytest -sv \ tests/integration/inference/test_openai_completion.py \ --text-model "together/meta-llama/Llama-3.1-8B-Instruct" ``` ### OpenAI ``` ENABLE_OPENAI="openai" \ uv run llama stack run llama_stack/templates/starter/run.yaml LLAMA_STACK_CONFIG=http://localhost:8321 \ uv run pytest -sv \ tests/integration/inference/test_openai_completion.py \ --text-model "openai/gpt-4o-mini" ``` ### Groq ``` ENABLE_GROQ="groq" \ uv run llama stack run llama_stack/templates/starter/run.yaml LLAMA_STACK_CONFIG=http://localhost:8321 \ uv run pytest -sv \ tests/integration/inference/test_openai_completion.py \ --text-model "groq/meta-llama/Llama-3.1-8B-Instruct" ``` --------- Signed-off-by: Ben Browning <bbrownin@redhat.com> |
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aa2595c7c3
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fix: sambanova shields and model validation (#2693)
# What does this PR do? Update the shield register validation of Sambanova not to raise, but only warn when a model is not available in the base url endpoint used, also added warnings when model is not available in the base url endpoint used <!-- 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.* --> run starter distro with Sambanova enabled |
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30b2e6a495
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chore: default to pytest asyncio-mode=auto (#2730)
# What does this PR do? previously, developers who ran `./scripts/unit-tests.sh` would get `asyncio-mode=auto`, which meant `@pytest.mark.asyncio` and `@pytest_asyncio.fixture` were redundent. developers who ran `pytest` directly would get pytest's default (strict mode), would run into errors leading them to add `@pytest.mark.asyncio` / `@pytest_asyncio.fixture` to their code. with this change - - `asyncio_mode=auto` is included in `pyproject.toml` making behavior consistent for all invocations of pytest - removes all redundant `@pytest_asyncio.fixture` and `@pytest.mark.asyncio` - for good measure, requires `pytest>=8.4` and `pytest-asyncio>=1.0` ## Test Plan - `./scripts/unit-tests.sh` - `uv run pytest tests/unit` |
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2ebc172f33
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fix: pin opentelemtry version (#2722)
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# What does this PR do? Otherwise we can get old versions like 1.11 and experience this error: ``` ModuleNotFoundError: No module named 'opentelemetry.exporter.otlp.proto.http.metric_exporter' ``` Signed-off-by: Sébastien Han <seb@redhat.com> |
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2e4eedce14
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fix: container build on podman (#2723)
# What does this PR do? COPY with chmod does not work, see https://github.com/containers/buildah/issues/4614. Also Docker arguably implements it. Anyway, this command is not even needed since later don't we do: ``` RUN mkdir -p /.llama /.cache && chmod -R g+rw /app /.llama /.cache ``` And providers.d will get the right modes. <!-- 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 Build with CONTAINER_BINARY=podman and success Signed-off-by: Sébastien Han <seb@redhat.com> |
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d880c2df0e
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fix: auth sql store: user is owner policy (#2674)
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# What does this PR do? The current authorized sql store implementation does not respect user.principal (only checks attributes). This PR addresses that. ## Test Plan Added test cases to integration tests. |
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4cf1952c32
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chore: update vllm k8s command to support tool calling (#2717)
# What does this PR do? ## Test Plan |
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5fe3027cbf
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chore: remove "rfc" directory and move original rfc to "docs" (#2718)
# What does this PR do? the "rfc" directory has only a single document in it, and its the original RFC for creating Llama Stack simply the project directory structure by moving this into the "docs" directory and renaming it to "original_rfc" to preserve the context of the doc ## Why did you do this? A simplified top-level directory structure helps keep the project simpler and prevents misleading new contributors into thinking we use it (we really don't) --------- Signed-off-by: Nathan Weinberg <nweinber@redhat.com> Co-authored-by: raghotham <raghotham@gmail.com> |
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9f04bc6d1a
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chore: move "install.sh" script into "scripts" dir (#2719)
# What does this PR do? "install.sh" is something that a general user might not use e.g. it is specific to using the "ollama" inference provider cleanup the top-level structure of the repo by moving it into the "scripts" dir and updating the relevant references accordingly Signed-off-by: Nathan Weinberg <nweinber@redhat.com> |
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0bbff91c7e
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docs: fix a few broken things in the CONTRIBUTING.md (#2714)
# What does this PR do? "dev" dependencies were moved in pyproject.toml typo with guidance around automatic doc generation Signed-off-by: Nathan Weinberg <nweinber@redhat.com> |
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6a6b66ae4f
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chore: Adding unit tests for OpenAI vector stores and migrating SQLite-vec registry to kvstore (#2665)
# What does this PR do? This PR refactors and the VectorIO backend logic for `sqlite-vec` and adds unit tests and fixtures to make it easy to test both `sqlite-vec` and `milvus`. Key changes: - `sqlite-vec` migrated to `kvstore` registry - added in-memory cache for sqlite-vec to be consistent with `milvus` - default fixtures moved to `conftest.py` - removed redundant tests from sqlite`-vec` - made `test_vector_io_openai_vector_stores.py` more easily extensible ## Test Plan Unit tests added testing inline providers. --------- Signed-off-by: Francisco Javier Arceo <farceo@redhat.com> |
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b18f4d1ccf
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ci: add config for pre-commit.ci (#2712)
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# What does this PR do? the project already had some config setup for https://pre-commit.ci/ this commit adds additional explicit fields Closes #2711 **IMPORTANT:** A project maintainer must add `pre-commit.ci` to this repo for this to work - this can be done via https://pre-commit.ci/ Signed-off-by: Nathan Weinberg <nweinber@redhat.com> |
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83c6b20067
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chore(api): add mypy coverage to cli/stack (#2650)
# What does this PR do? <!-- Provide a short summary of what this PR does and why. Link to relevant issues if applicable. --> This PR adds static type coverage to `llama-stack` Part of https://github.com/meta-llama/llama-stack/issues/2647 <!-- If resolving an issue, uncomment and update the line below --> <!-- Closes #[issue-number] --> ## Test Plan <!-- Describe the tests you ran to verify your changes with result summaries. *Provide clear instructions so the plan can be easily re-executed.* --> Signed-off-by: Mustafa Elbehery <melbeher@redhat.com> |
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bbe0199bb7
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chore: update pre-commit hook versions (#2708)
While investigating the `uv.lock` changes made in https://github.com/meta-llama/llama-stack/pull/2695 I noticed several of the pre-commit hook versions were out of date This PR updates them and fixes some new `ruff` errors --------- Signed-off-by: Nathan Weinberg <nweinber@redhat.com> |
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81ebaf6e9a
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fix: properly represent paths in server logs (#2698)
# What does this PR do? currently when logging the run yaml, if there are path objects in the object they are represented as: ``` external_providers_dir: !!python/object/apply:pathlib.PosixPath - '~' - .llama - providers.d ``` now, with a config.model_dump(mode="json"), it works properly ``` external_providers_dir: ~/.llama/providers.d ``` Signed-off-by: Charlie Doern <cdoern@redhat.com> |
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01c222e12f
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ci: run all APIs integration tests (#2646)
# What does this PR do? We are now automatically building the list of integration test to run. In that process, eval and files and being tested now. This is pending https://github.com/meta-llama/llama-stack/pull/2628 Signed-off-by: Sébastien Han <seb@redhat.com> |
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81109a0f72
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test: terminate server process when finished (#2700)
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# What does this PR do? Terminate server process for real. ## Test Plan ```ENABLE_OPENAI=openai LLAMA_STACK_CONFIG=server:starter pytest -v tests/integration/agents/test_openai_responses.py --text-model "gpt-4o-mini" -vv -s -k 'test_list_response_input_items[' && lsof -ti:8321``` observe no process printed anymore |
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780b4c6eea
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fix: llama stack run starter in conda (#2679)
# What does this PR do? `llama stack run starter` in conda environment fails with ' --config is required for venv and conda environments' because it is passed as --template and start_stack.sh doesn't process template. ## Test Plan `llama stack run starter` |
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7915551eee
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build: replace "python-jose" with "python-jose[cryptography]" (#2695)
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# What does this PR do? `python-jose` recommends using the `cryptography` backend in their installation docs: https://github.com/mpdavis/python-jose?tab=readme-ov-file#cryptographic-backends This PR modifies the LLS dependencies to use this instead of the current `native-python` Signed-off-by: Nathan Weinberg <nweinber@redhat.com> |
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1d8c00635c
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chore: Update CODEOWNERS (#2692)
add @mattf |
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9b7eecebcf
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ci: test safety with starter (#2628)
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# What does this PR do? We are now testing the safety capability with the starter image. This includes a few changes: * Enable the safety integration test * Relax the shield model requirements from llama-guard to make it work with llama-guard3:8b coming from Ollama * Expose a shield for each inference provider in the starter distro. The shield will only be registered if the provider is enabled. Closes: https://github.com/meta-llama/llama-stack/issues/2528 Signed-off-by: Sébastien Han <seb@redhat.com> |
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de01eefdef
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chore: add mypy post training (#2675)
# What does this PR do? <!-- Provide a short summary of what this PR does and why. Link to relevant issues if applicable. --> This PR adds static type coverage to `llama-stack` Part of https://github.com/meta-llama/llama-stack/issues/2647 <!-- If resolving an issue, uncomment and update the line below --> <!-- Closes #[issue-number] --> ## Test Plan <!-- Describe the tests you ran to verify your changes with result summaries. *Provide clear instructions so the plan can be easily re-executed.* --> Signed-off-by: Mustafa Elbehery <melbeher@redhat.com> |
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dafd9ed5c0
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docs: Update links to Android Demo App (#2687)
# What does this PR do? Updates some broken or outdated links pointing to the Android Demo App Signed-off-by: Jorge Garcia Oncins <jgarciao@redhat.com> |
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cd0ad21111
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chore(api): add mypy coverage to apis (#2648)
# What does this PR do? <!-- Provide a short summary of what this PR does and why. Link to relevant issues if applicable. --> This PR adds static type coverage to `llama-stack/apis` Part of https://github.com/meta-llama/llama-stack/issues/2647 <!-- If resolving an issue, uncomment and update the line below --> <!-- Closes #[issue-number] --> ## Test Plan <!-- Describe the tests you ran to verify your changes with result summaries. *Provide clear instructions so the plan can be easily re-executed.* --> Signed-off-by: Mustafa Elbehery <melbeher@redhat.com> |
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297cd8e0db
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fix: runpod transition to python 3.12 (#2682)
# What does this PR do? I'm not sure how this was missed in the pyupgrade PR. This code seems broken... Signed-off-by: Sébastien Han <seb@redhat.com> |
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7f3661e7d8
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chore: add mypy loader (#2672)
# What does this PR do? <!-- Provide a short summary of what this PR does and why. Link to relevant issues if applicable. --> This PR adds static type coverage to `llama-stack` Part of https://github.com/meta-llama/llama-stack/issues/2647 <!-- If resolving an issue, uncomment and update the line below --> <!-- Closes #[issue-number] --> ## Test Plan <!-- Describe the tests you ran to verify your changes with result summaries. *Provide clear instructions so the plan can be easily re-executed.* --> Signed-off-by: Mustafa Elbehery <melbeher@redhat.com> |
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a5c3362bcd
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chore(api): add mypy coverage to meta_reference_config (#2664)
# What does this PR do? <!-- Provide a short summary of what this PR does and why. Link to relevant issues if applicable. --> This PR adds static type coverage to `llama-stack` Part of https://github.com/meta-llama/llama-stack/issues/2647 <!-- If resolving an issue, uncomment and update the line below --> <!-- Closes #[issue-number] --> ## Test Plan <!-- Describe the tests you ran to verify your changes with result summaries. *Provide clear instructions so the plan can be easily re-executed.* --> Signed-off-by: Mustafa Elbehery <melbeher@redhat.com> |
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28343fea51
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chore(api): add mypy coverage to meta_reference_safety (#2661)
# What does this PR do? <!-- Provide a short summary of what this PR does and why. Link to relevant issues if applicable. --> This PR adds static type coverage to `llama-stack` Part of https://github.com/meta-llama/llama-stack/issues/2647 <!-- If resolving an issue, uncomment and update the line below --> <!-- Closes #[issue-number] --> ## Test Plan <!-- Describe the tests you ran to verify your changes with result summaries. *Provide clear instructions so the plan can be easily re-executed.* --> Signed-off-by: Mustafa Elbehery <melbeher@redhat.com> |
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d39660afed
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fix(remote:milvus): add missing files_api parameter and kvstore configuration (#2630)
- Fix constructor call missing files_api parameter - Add kvstore field to MilvusVectorIOConfig - Resolves #2626 # What does this PR do? [https://github.com/meta-llama/llama-stack/issues/2626] ## Problem The `MilvusVectorIOAdapter` fails to initialize due to two missing configuration issues: 1. Missing `files_api` parameter in the constructor call 2. Missing `kvstore` field in the `MilvusVectorIOConfig` class ## Root Cause 1. The adapter constructor expects 3 parameters `(config, inference_api, files_api)` but the `get_adapter_impl` function only passes 2 parameters 2. The `MilvusVectorIOConfig` class lacks the `kvstore` field that the adapter's `initialize()` method expects for metadata persistence ## Solution - Added `files_api = deps.get(Api.files, None)` to safely retrieve files API from dependencies - Pass the files_api parameter to MilvusVectorIOAdapter constructor - Added `kvstore: KVStoreConfig | None = None` field to MilvusVectorIOConfig - Maintains backward compatibility since both files_api and kvstore can be None Closes #2626 ## Test Plan - [x] Tested with Milvus configuration - server starts successfully ```yaml vector_io: - provider_id: milvus provider_type: remote::milvus config: uri: http://localhost:19530 token: root:Milvus kvstore: type: sqlite namespace: null db_path: ${env.SQLITE_STORE_DIR:=~/.llama/distributions/remote-vllm}/milvus_store.db ``` - [x] Vector operations work as expected ```python from llama_stack_client import LlamaStackClient from llama_stack_client.types.shared_params.document import Document as RAGDocument from llama_stack_client.lib.agents.agent import Agent from llama_stack_client.lib.agents.event_logger import EventLogger as AgentEventLogger import os endpoint = os.getenv("LLAMA_STACK_ENDPOINT") model = os.getenv("INFERENCE_MODEL") # Initialize the client client = LlamaStackClient(base_url=endpoint) vector_db_id = "my_documents" response = client.vector_dbs.register( vector_db_id=vector_db_id, embedding_model="all-MiniLM-L6-v2", embedding_dimension=384, provider_id="milvus", ) urls = ["getting_started/Red_Hat_AI_Inference_Server-3.0-Getting_started-en-US.pdf", "vllm_server_arguments/Red_Hat_AI_Inference_Server-3.0-vLLM_server_arguments-en-US.pdf"] documents = [ RAGDocument( document_id=f"num-{i}", content=f"https://docs.redhat.com/en/documentation/red_hat_ai_inference_server/3.0/pdf/{url}", mime_type="application/pdf", metadata={}, ) for i, url in enumerate(urls) ] client.tool_runtime.rag_tool.insert( documents=documents, vector_db_id=vector_db_id, chunk_size_in_tokens=512, ) rag_agent = Agent( client, model=model, # Define instructions for the agent (system prompt) instructions="You are a helpful assistant", enable_session_persistence=False, # Define tools available to the agent tools=[ { "name": "builtin::rag/knowledge_search", "args": { "vector_db_ids": [vector_db_id], }, } ], ) session_id = rag_agent.create_session("test-session") user_prompts = [ "How to start the AI Inference Server container image? use the knowledge_search tool to get information.", ] for prompt in user_prompts: print(f"User> {prompt}") response = rag_agent.create_turn( messages=[{"role": "user", "content": prompt}], session_id=session_id, ) for log in AgentEventLogger().log(response): log.print() ``` server logs: ``` INFO 2025-07-04 22:18:30,385 __main__:577 server: Listening on ['::', '0.0.0.0']:5000 INFO: Started server process [769725] INFO: Waiting for application startup. INFO 2025-07-04 22:18:30,390 __main__:158 server: Starting up INFO: Application startup complete. INFO: Uvicorn running on http://['::', '0.0.0.0']:5000 (Press CTRL+C to quit) INFO 2025-07-04 22:18:52,193 llama_stack.distribution.routing_tables.common:200 core: Setting owner for vector_db 'my_documents' to 20:18:52.194 [START] /v1/vector-dbs INFO: 192.168.1.249:64170 - "POST /v1/vector-dbs HTTP/1.1" 200 OK 20:18:52.216 [END] /v1/vector-dbs [StatusCode.OK] (21.89ms) 20:18:52.222 [START] /v1/tool-runtime/rag-tool/insert INFO 2025-07-04 22:18:56,265 llama_stack.providers.utils.inference.embedding_mixin:102 uncategorized: Loading sentence transformer for all-MiniLM-L6-v2... WARNING 2025-07-04 22:18:59,214 opentelemetry.trace:537 uncategorized: Overriding of current TracerProvider is not allowed INFO 2025-07-04 22:18:59,339 sentence_transformers.SentenceTransformer:219 uncategorized: Use pytorch device_name: cuda:0 INFO 2025-07-04 22:18:59,340 sentence_transformers.SentenceTransformer:227 uncategorized: Load pretrained SentenceTransformer: all-MiniLM-L6-v2 INFO: 192.168.1.249:64170 - "POST /v1/tool-runtime/rag-tool/insert HTTP/1.1" 200 OK INFO: 192.168.1.249:64170 - "POST /v1/agents HTTP/1.1" 200 OK INFO: 192.168.1.249:64170 - "GET /v1/tools?toolgroup_id=builtin%3A%3Arag%2Fknowledge_search HTTP/1.1" 200 OK INFO: 192.168.1.249:64170 - "POST /v1/agents/b1f6f063-1691-4780-8d9e-facd81708b91/session HTTP/1.1" 200 OK 20:19:01.834 [END] /v1/tool-runtime/rag-tool/insert [StatusCode.OK] (9612.06ms) 20:19:01.839 [START] /v1/agents INFO: 192.168.1.249:64170 - "POST /v1/agents/b1f6f063-1691-4780-8d9e-facd81708b91/session/d2706302-bb54-421d-a890-5e25df9cb47f/turn HTTP/1.1" 200 OK 20:19:01.839 [END] /v1/agents [StatusCode.OK] (0.18ms) 20:19:01.844 [START] /v1/tools INFO 2025-07-04 22:19:01,853 llama_stack.providers.remote.inference.vllm.vllm:330 uncategorized: Initializing vLLM client with base_url=http://192.168.1.183:8080/v1 20:19:01.858 [END] /v1/tools [StatusCode.OK] (14.92ms) 20:19:01.868 [START] /v1/agents/{agent_id}/session 20:19:01.868 [END] /v1/agents/{agent_id}/session [StatusCode.OK] (0.37ms) 20:19:01.873 [START] /v1/agents/{agent_id}/session/{session_id}/turn 20:19:01.885 [START] inference 20:19:05.506 [END] inference [StatusCode.OK] (3621.19ms) INFO 2025-07-04 22:19:05,537 llama_stack.providers.inline.agents.meta_reference.agent_instance:890 agents: executing tool call: knowledge_search with args: {'query': 'How to start the AI Inference Server container image'} 20:19:05.538 [START] tool_execution 20:19:05.928 [END] tool_execution [StatusCode.OK] (390.08ms) 20:19:05.538 [INFO] executing tool call: knowledge_search with args: {'query': 'How to start the AI Inference Server container image'} 20:19:05.935 [START] inference 20:19:17.539 [END] inference [StatusCode.OK] (11603.76ms) 20:19:17.560 [END] /v1/agents/{agent_id}/session/{session_id}/turn [StatusCode.OK] (15686.62ms) ``` - [x] No regressions in functionality - [x] Configuration properly accepts kvstore settings --------- Co-authored-by: Peter Gustafsson <peter.gustafsson6@gmail.com> Co-authored-by: raghotham <rsm@meta.com> Co-authored-by: Francisco Arceo <farceo@redhat.com> |
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2d3d9664a7
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chore(api): add mypy coverage to prompts (#2657)
# What does this PR do? <!-- Provide a short summary of what this PR does and why. Link to relevant issues if applicable. --> This PR adds static type coverage to `llama-stack` Part of https://github.com/meta-llama/llama-stack/issues/2647 <!-- If resolving an issue, uncomment and update the line below --> <!-- Closes #[issue-number] --> ## Test Plan <!-- Describe the tests you ran to verify your changes with result summaries. *Provide clear instructions so the plan can be easily re-executed.* --> Signed-off-by: Mustafa Elbehery <melbeher@redhat.com> |
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84fa83b788
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fix: update k8s templates (#2645)
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# What does this PR do? - fix env variables - use gpu for vllm - add eks/apply.py for aws - add template to set hf secret ## Test Plan bash apply.sh Co-authored-by: Eric Huang <erichuang@fb.com> |
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daf660c4ea
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feat(auth,ui): support github sign-in in the UI (#2545)
# What does this PR do? Uses NextAuth to add github sign in support. ## Test Plan Start server with auth configured as in https://github.com/meta-llama/llama-stack/pull/2509 https://github.com/user-attachments/assets/61ff7442-f601-4b39-8686-5d0afb3b45ac |
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c8bac888af
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feat(auth): support github tokens (#2509)
# What does this PR do? This PR adds GitHub OAuth authentication support to Llama Stack, allowing users to authenticate using their GitHub credentials (#2508) . 1. support verifying github acesss tokens 2. support provider-specific auth error messages 3. opportunistic reorganized the auth configs for better ergonomics ## Test Plan Added unit tests. Also tested e2e manually: ``` server: port: 8321 auth: provider_config: type: github_token ``` ``` ~/projects/llama-stack/llama_stack/ui ❯ curl -v http://localhost:8321/v1/models * Host localhost:8321 was resolved. * IPv6: ::1 * IPv4: 127.0.0.1 * Trying [::1]:8321... * Connected to localhost (::1) port 8321 > GET /v1/models HTTP/1.1 > Host: localhost:8321 > User-Agent: curl/8.7.1 > Accept: */* > * Request completely sent off < HTTP/1.1 401 Unauthorized < date: Fri, 27 Jun 2025 21:51:25 GMT < server: uvicorn < content-type: application/json < x-trace-id: 5390c6c0654086c55d87c86d7cbf2f6a < Transfer-Encoding: chunked < * Connection #0 to host localhost left intact {"error": {"message": "Authentication required. Please provide a valid GitHub access token (https://docs.github.com/en/authentication/keeping-your-account-and-data-secure/managing-your-personal-access-tokens) in the Authorization header (Bearer <token>)"}} ~/projects/llama-stack/llama_stack/ui ❯ ./scripts/unit-tests.sh ~/projects/llama-stack/llama_stack/ui ❯ curl "http://localhost:8321/v1/models" \ -H "Authorization: Bearer <token_obtained_from_github>" \ {"data":[{"identifier":"accounts/fireworks/models/llama-guard-3-11b-vision","provider_resource_id":"accounts/fireworks/models/llama-guard-3-11b-vision","provider_id":"fireworks","type":"model","metadata":{},"model_type":"llm"},{"identifier":"accounts/fireworks/models/llama-guard-3-8b","provider_resource_id":"accounts/fireworks/models/llama-guard-3-8b","provider_id":"fireworks","type":"model","metadata":{},"model_type":"llm"},{"identifier":"accounts/fireworks/models/llama-v3p1-405b-instruct","provider_resource_id":"accounts/f ``` --------- Co-authored-by: Claude <noreply@anthropic.com> |
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83c89265e0
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chore: Adding unit tests for Milvus and OpenAI compatibility (#2640)
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# What does this PR do? - Enabling Unit tests for Milvus to start to test OpenAI compatibility and fixing a few bugs. - Also fixed an inconsistency in the Milvus config between remote and inline. - Added pymilvus to extras for testing in CI I'm going to refactor this later to include the other inline providers so that we can catch issues sooner. I have another PR where I've been testing to find other bugs in the implementation (and required changes drafted here: https://github.com/meta-llama/llama-stack/pull/2617). ## Test Plan <!-- Describe the tests you ran to verify your changes with result summaries. *Provide clear instructions so the plan can be easily re-executed.* --> --------- Signed-off-by: Francisco Javier Arceo <farceo@redhat.com> |
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27b3cd570f
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fix: use --template flag for server (#2643)
# What does this PR do? currently when a template is used, we still use `--config`. `server.py` has a dedicated `--template` flag and logic, use that instead Signed-off-by: Charlie Doern <cdoern@redhat.com> |
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e9926564bd
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fix: authorized sql store with postgres (#2641)
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# What does this PR do? postgres has different json extract syntax from sqlite ## Test Plan added integration test |
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5bb3817c49
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fix: Restore the nvidia distro (#2639)
# What does this PR do? The `nvidia` distro was previously collapsed into the `starter` distro. However, the `nvidia` distro was setup specifically to use NVIDIA NeMo microservices as providers for all APIs and not just inference, which means it was doing quite a bit more than what the `starter` distro covers today. We should work with our friends at NVIDIA to determine the best place to maintain this distro long-term, but for now this restores the `nvidia` distro and its docs back to where they were so that things continue to work for their users. ## Test Plan I ensure the `nvidia` distro could build, and run at least to the point of complaining that I didn't provide the necessary API keys. ``` uv run llama stack build --template nvidia --image-type venv uv run llama stack run llama_stack/templates/nvidia/run.yaml ``` I also made sure the docs website built and looks reasonable, with the `nvidia` distro docs at the same URL it was previously (because it has incoming links from official NVIDIA NeMo docs, among other places). ``` uv run --group docs sphinx-autobuild docs/source docs/build/html --write-all ``` Signed-off-by: Ben Browning <bbrownin@redhat.com> |
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d0ec5c3d3a
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fix: print proper template path upon build (#2642)
# What does this PR do? Rather than pointing to a dir in `llama_stack/templates` (the repo directory) we should point to `$BUILD_DIR/IMAGE_NAME-run.yaml` (`~/.llama/distributions/IMAGE_NAME/IMAGE_NAME-run.yaml`) currently we are printing: ``` You can find the newly-built template here: /Users/charliedoern/projects/Documents/llama-stack/llama_stack/templates/starter/run.yaml You can run the new Llama Stack distro via: llama stack run /Users/charliedoern/projects/Documents/llama-stack/llama_stack/templates/starter/run.yaml --image-type venv ``` but should be printing things like: ``` You can find the newly-built template here: /Users/charliedoern/.llama/distributions/starter/starter-run.yaml You can run the new Llama Stack distro via: llama stack run /Users/charliedoern/.llama/distributions/starter/starter-run.yaml --image-type venv ``` Signed-off-by: Charlie Doern <cdoern@redhat.com> |
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5561f1c36d
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ci: error when a pipefails (#2635)
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# What does this PR do? The CI was failing but the error was eaten by the pipe. Now we run the task with pipefail. Signed-off-by: Sébastien Han <seb@redhat.com> |
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4bca4af3e4
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refactor: set proper name for embedding all-minilm:l6-v2 and update to use "starter" in detailed_tutorial (#2627)
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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. --> - we are using `all-minilm:l6-v2` but the model we download from ollama is `all-minilm:latest` latest: https://ollama.com/library/all-minilm:latest 1b226e2802db l6-v2: https://ollama.com/library/all-minilm:l6-v2 pin 1b226e2802db - even currently they are exactly the same model but if [all-minilm:l12-v2](https://ollama.com/library/all-minilm:l12-v2) is updated, "latest" might not be the same for l6-v2. - the only change in this PR is pin the model id in ollama - also update detailed_tutorial with "starter" to replace deprecated "ollama". <!-- 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.* --> ``` >INFERENCE_MODEL="meta-llama/Llama-3.2-3B-Instruct" >llama stack build --run --template ollama --image-type venv ... Build Successful! You can find the newly-built template here: /home/wenzhou/zdtsw-forking/lls/llama-stack/llama_stack/templates/ollama/run.yaml .... - metadata: embedding_dimension: 384 model_id: all-MiniLM-L6-v2 model_type: !!python/object/apply:llama_stack.apis.models.models.ModelType - embedding provider_id: ollama provider_model_id: all-minilm:l6-v2 ... ``` test ``` >llama-stack-client inference chat-completion --message "Write me a 2-sentence poem about the moon" INFO:httpx:HTTP Request: GET http://localhost:8321/v1/models "HTTP/1.1 200 OK" INFO:httpx:HTTP Request: POST http://localhost:8321/v1/openai/v1/chat/completions "HTTP/1.1 200 OK" OpenAIChatCompletion( id='chatcmpl-04f99071-3da2-44ba-a19f-03b5b7fc70b7', choices=[ OpenAIChatCompletionChoice( finish_reason='stop', index=0, message=OpenAIChatCompletionChoiceMessageOpenAIAssistantMessageParam( role='assistant', content="Here is a 2-sentence poem about the moon:\n\nSilver crescent in the midnight sky,\nLuna's gentle face, a beauty to the eye.", name=None, tool_calls=None, refusal=None, annotations=None, audio=None, function_call=None ), logprobs=None ) ], created=1751644429, model='llama3.2:3b-instruct-fp16', object='chat.completion', service_tier=None, system_fingerprint='fp_ollama', usage={'completion_tokens': 33, 'prompt_tokens': 36, 'total_tokens': 69, 'completion_tokens_details': None, 'prompt_tokens_details': None} ) ``` --------- Signed-off-by: Wen Zhou <wenzhou@redhat.com> |
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2faec38724
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chore(deps): bump next from 15.3.2 to 15.3.3 in /llama_stack/ui (#2632)
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Bumps [next](https://github.com/vercel/next.js) from 15.3.2 to 15.3.3. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/vercel/next.js/releases">next's releases</a>.</em></p> <blockquote> <h2>v15.3.3</h2> <blockquote> <p>[!NOTE]<br /> This release is backporting bug fixes. It does <strong>not</strong> include all pending features/changes on canary.</p> </blockquote> <h3>Core Changes</h3> <ul> <li>Reinstate <code>vary</code> (<a href="https://redirect.github.com/vercel/next.js/issues/79939">#79939</a>)</li> <li>fix(next-swc): Fix interestingness detection for React Compiler (<a href="https://redirect.github.com/vercel/next.js/issues/79558">#79558</a>)</li> <li>fix(next-swc): Fix react compiler usefulness detector (<a href="https://redirect.github.com/vercel/next.js/issues/79480">#79480</a>)</li> <li>fix(dev-overlay): Better handle edge-case file paths in launchEditor (<a href="https://redirect.github.com/vercel/next.js/issues/79526">#79526</a>)</li> <li>Client router should discard stale prefetch entries for static pages (<a href="https://redirect.github.com/vercel/next.js/issues/79362">#79362</a>)</li> </ul> <h3>Credits</h3> <p>Huge thanks to <a href="https://github.com/gaojude"><code>@gaojude</code></a>, <a href="https://github.com/kdy1"><code>@kdy1</code></a>, <a href="https://github.com/bgw"><code>@bgw</code></a>, and <a href="https://github.com/unstubbable"><code>@unstubbable</code></a> for helping!</p> </blockquote> </details> <details> <summary>Commits</summary> <ul> <li><a href=" |
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c025cab3a3
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docs: update docs to use "starter" than "ollama" (#2629) | ||
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dc7df60d42
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docs: Update starter docs to include milvus inline (#2631) | ||
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ea966565f6
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feat: improve telemetry (#2590)
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# What does this PR do? * Use a single env variable to setup OTEL endpoint * Update telemetry provider doc * Update general telemetry doc with the metric with generate * Left a script to setup telemetry for testing Closes: https://github.com/meta-llama/llama-stack/issues/783 Note to reviewer: the `setup_telemetry.sh` script was useful for me, it was nicely generated by AI, if we don't want it in the repo, and I can delete it, and I would understand. Signed-off-by: Sébastien Han <seb@redhat.com> |
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4eae0cbfa4
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fix(starter): Add missing faiss provider to build.yaml vector_io section (#2625)
The starter template build.yaml was missing the inline::faiss provider in the vector_io section, while it was properly configured in run.yaml and starter.py's vector_io_providers list. Fixes: #2624 Signed-off-by: Derek Higgins <derekh@redhat.com> |