1771 commits

Author	SHA1	Message	Date
ehhuang	b3099d40e2	fix(telemetry): remove dependency on old telemetry config (#3830) ... # What does this PR do? old telemetry config was removed in #3815 ## Test Plan ❯ OTEL_SERVICE_NAME=aloha OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318 uv run llama stack run starter <img width="1888" height="605" alt="image" src="https://github.com/user-attachments/assets/dd5cc9f0-213a-4dc6-9385-f61a3a13b4c3" />	2025-10-16 12:05:10 -07:00
ehhuang	07ff15d917	chore: distrogen enables telemetry by default (#3828) ... # What does this PR do? leftover from #3815 ## Test Plan CI --- [//]: # (BEGIN SAPLING FOOTER) Stack created with [Sapling](https://sapling-scm.com). Best reviewed with [ReviewStack](https://reviewstack.dev/llamastack/llama-stack/pull/3828). * #3830 * __->__ #3828	2025-10-16 11:29:51 -07:00
Charlie Doern	f22aaef42f	chore!: remove telemetry API usage (#3815) ... # What does this PR do? remove telemetry as a providable API from the codebase. This includes removing it from generated distributions but also the provider registry, the router, etc since `setup_logger` is tied pretty strictly to `Api.telemetry` being in impls we still need an "instantiated provider" in our implementations. However it should not be auto-routed or provided. So in validate_and_prepare_providers (called from resolve_impls) I made it so that if run_config.telemetry.enabled, we set up the meta-reference "provider" internally to be used so that log_event will work when called. This is the neatest way I think we can remove telemetry from the provider configs but also not need to rip apart the whole "telemetry is a provider" logic just yet, but we can do it internally later without disrupting users. so telemetry is removed from the registry such that if a user puts `telemetry:` as an API in their build/run config it will err out, but can still be used by us internally as we go through this transition. relates to #3806 Signed-off-by: Charlie Doern <cdoern@redhat.com>	2025-10-16 10:39:32 -07:00
Ashwin Bharambe	185de61d8e	fix(openai_mixin): no yelling for model listing if API keys are not provided (#3826) ... As indicated in the title. Our `starter` distribution enables all remote providers _very intentionally_ because we believe it creates an easier, more welcoming experience to new folks using the software. If we do that, and then slam the logs with errors making them question their life choices, it is not so good :) Note that this fix is limited in scope. If you ever try to actually instantiate the OpenAI client from a code path without an API key being present, you deserve to fail hard. ## Test Plan Run `llama stack run starter` with `OPENAI_API_KEY` set. No more wall of text, just one message saying "listed 96 models".	2025-10-16 10:12:13 -07:00
Ashwin Bharambe	07fc8013eb	fix(tests): reduce some test noise (#3825) ... a bunch of logger.info()s are good for server code to help debug in production, but we don't want them killing our unit test output :) --------- Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>	2025-10-16 09:52:16 -07:00
Ashwin Bharambe	f70aa99c97	fix(models)!: always prefix models with provider_id when registering (#3822) ... **!!BREAKING CHANGE!!** The lookup is also straightforward -- we always look for this identifier and don't try to find a match for something without the provider_id prefix. Note that, this ideally means we need to update the `register_model()` API also (we should kill "identifier" from there) but I am not doing that as part of this PR. ## Test Plan Existing unit tests	2025-10-16 06:47:39 -07:00
Ashwin Bharambe	f205ab6f6c	fix(responses): fixes, re-record tests (#3820) ... Wanted to re-enable Responses CI but it seems to hang for some reason due to some interactions with conversations_store or responses_store. ## Test Plan ``` # library client ./scripts/integration-tests.sh --stack-config ci-tests --suite responses # server ./scripts/integration-tests.sh --stack-config server:ci-tests --suite responses ```	2025-10-15 16:37:42 -07:00
slekkala1	99141c29b1	feat: Add responses and safety impl extra_body (#3781) ... # What does this PR do? Have closed the previous PR due to merge conflicts with multiple PRs Addressed all comments from https://github.com/llamastack/llama-stack/pull/3768 (sorry for carrying over to this one) ## Test Plan Added UTs and integration tests	2025-10-15 15:01:37 -07:00
Ashwin Bharambe	8e7e0ddfec	fix(responses): use conversation items when no stored messages exist (#3819) ... Handle a base case when no stored messages exist because no Response call has been made. ## Test Plan ``` ./scripts/integration-tests.sh --stack-config server:ci-tests \ --suite responses --inference-mode record-if-missing --pattern test_conversation_responses ```	2025-10-15 14:43:44 -07:00
ehhuang	6ba9db3929	chore!: BREAKING CHANGE: remove sqlite from telemetry config (#3808) ... # What does this PR do? - Removed sqlite sink from telemetry config. - Removed related code - Updated doc related to telemetry ## Test Plan CI	2025-10-15 14:24:45 -07:00
Ashwin Bharambe	0a96a7faa5	fix(responses): fix subtle bugs in non-function tool calling (#3817) ... We were generating "FunctionToolCall" items even for MCP (and file-search, etc.) server-side calls. ID mismatches, etc. galore.	2025-10-15 13:57:37 -07:00
Sumanth Kamenani	bc8b377a7c	fix(vector-io): handle missing document_id in insert_chunks (#3521) ... Fixed KeyError when chunks don't have document_id in metadata or chunk_metadata. Updated logging to safely extract document_id using getattr and RAG memory to handle different document_id locations. Added test for missing document_id scenarios. Fixes issue #3494 where /v1/vector-io/insert would crash with KeyError. Fixed KeyError when chunks don't have document_id in metadata or chunk_metadata. Updated logging to safely extract document_id using getattr and RAG memory to handle different document_id locations. Added test for missing document_id scenarios. # What does this PR do? Fixes a KeyError crash in `/v1/vector-io/insert` when chunks are missing `document_id` fields. The API was failing even though `document_id` is optional according to the schema. Closes #3494 ## Test Plan **Before fix:** - POST to `/v1/vector-io/insert` with chunks → 500 KeyError - Happened regardless of where `document_id` was placed **After fix:** - Same request works fine → 200 OK - Tested with Postman using FAISS backend - Added unit test covering missing `document_id` scenarios	2025-10-15 11:02:48 -07:00
Ashwin Bharambe	e9b4278a51	feat(responses)!: improve responses + conversations implementations (#3810) ... This PR updates the Conversation item related types and improves a couple critical parts of the implemenation: - it creates a streaming output item for the final assistant message output by the model. until now we only added content parts and included that message in the final response. - rewrites the conversation update code completely to account for items other than messages (tool calls, outputs, etc.) ## Test Plan Used the test script from https://github.com/llamastack/llama-stack-client-python/pull/281 for this ``` TEST_API_BASE_URL=http://localhost:8321/v1 \ pytest tests/integration/test_agent_turn_step_events.py::test_client_side_function_tool -xvs ```	2025-10-15 09:36:11 -07:00
Juan Pérez de Algaba	add8cd801b	feat(gemini): Support gemini-embedding-001 and fix models/ prefix in metadata keys (#3813) ... # Add support for Google Gemini `gemini-embedding-001` embedding model and correctly registers model type MR message created with the assistance of Claude-4.5-sonnet This resolves https://github.com/llamastack/llama-stack/issues/3755 ## What does this PR do? This PR adds support for the `gemini-embedding-001` Google embedding model to the llama-stack Gemini provider. This model provides high-dimensional embeddings (3072 dimensions) compared to the existing `text-embedding-004` model (768 dimensions). Old embeddings models (such as text-embedding-004) will be deprecated soon according to Google ([Link](https://developers.googleblog.com/en/gemini-embedding-available-gemini-api/)) ## Problem The Gemini provider only supported the `text-embedding-004` embedding model. The newer `gemini-embedding-001` model, which provides higher-dimensional embeddings for improved semantic representation, was not available through llama-stack. ## Solution This PR consists of three commits that implement, fix the model registration, and enable embedding generation: ### Commit 1: Initial addition of gemini-embedding-001 Added metadata for `gemini-embedding-001` to the `embedding_model_metadata` dictionary: ```python embedding_model_metadata: dict[str, dict[str, int]] = { "text-embedding-004": {"embedding_dimension": 768, "context_length": 2048}, "gemini-embedding-001": {"embedding_dimension": 3072, "context_length": 2048}, # NEW } ``` **Issue discovered:** The model was not being registered correctly because the dictionary keys didn't match the model IDs returned by Gemini's API. ### Commit 2: Fix model ID matching with `models/` prefix Updated both dictionary keys to include the `models/` prefix to match Gemini's OpenAI-compatible API response format: ```python embedding_model_metadata: dict[str, dict[str, int]] = { "models/text-embedding-004": {"embedding_dimension": 768, "context_length": 2048}, # UPDATED "models/gemini-embedding-001": {"embedding_dimension": 3072, "context_length": 2048}, # UPDATED } ``` **Root cause:** Gemini's OpenAI-compatible API returns model IDs with the `models/` prefix (e.g., `models/text-embedding-004`). The `OpenAIMixin.list_models()` method directly matches these IDs against the `embedding_model_metadata` dictionary keys. Without the prefix, the models were being registered as LLMs instead of embedding models. ### Commit 3: Fix embedding generation for providers without usage stats Fixed a bug in `OpenAIMixin.openai_embeddings()` that prevented embedding generation for providers (like Gemini) that don't return usage statistics: ```python # Before (Line 351-354): usage = OpenAIEmbeddingUsage( prompt_tokens=response.usage.prompt_tokens, # ← Crashed with AttributeError total_tokens=response.usage.total_tokens, ) # After (Lines 351-362): if response.usage: usage = OpenAIEmbeddingUsage( prompt_tokens=response.usage.prompt_tokens, total_tokens=response.usage.total_tokens, ) else: usage = OpenAIEmbeddingUsage( prompt_tokens=0, # Default when not provided total_tokens=0, # Default when not provided ) ``` **Impact:** This fix enables embedding generation for **all** Gemini embedding models, not just the newly added one. ## Changes ### Modified Files **`llama_stack/providers/remote/inference/gemini/gemini.py`** - Line 17: Updated `text-embedding-004` key to `models/text-embedding-004` - Line 18: Added `models/gemini-embedding-001` with correct metadata **`llama_stack/providers/utils/inference/openai_mixin.py`** - Lines 351-362: Added null check for `response.usage` to handle providers without usage statistics ## Key Technical Details ### Model ID Matching Flow 1. `list_provider_model_ids()` calls Gemini's `/v1/models` endpoint 2. API returns model IDs like: `models/text-embedding-004`, `models/gemini-embedding-001` 3. `OpenAIMixin.list_models()` (line 410) checks: `if metadata := self.embedding_model_metadata.get(provider_model_id)` 4. If matched, registers as `model_type: "embedding"` with metadata; otherwise registers as `model_type: "llm"` ### Why Both Keys Needed the Prefix The `text-embedding-004` model was already working because there was likely separate configuration or manual registration handling it. For auto-discovery to work correctly for **both** models, both keys must match the API's model ID format exactly. ## How to test this PR Verified the changes by: 1. **Model Auto-Discovery**: Started llama-stack server and confirmed models are auto-discovered from Gemini API 2. **Model Registration**: Confirmed both embedding models are correctly registered and visible ```bash curl http://localhost:8325/v1/models | jq '.data[] | select(.provider_id == "gemini" and .model_type == "embedding")' ``` **Results:** - ✅ `gemini/models/text-embedding-004` - 768 dimensions - `model_type: "embedding"` - ✅ `gemini/models/gemini-embedding-001` - 3072 dimensions - `model_type: "embedding"` 3. **Before Fix (Commit 1)**: Models appeared as `model_type: "llm"` without embedding metadata 4. **After Fix (Commit 2)**: Models correctly identified as `model_type: "embedding"` with proper metadata 5. **Generate Embeddings**: Verified embedding generation works ```bash curl -X POST http://localhost:8325/v1/embeddings \ -H "Content-Type: application/json" \ -d '{"model": "gemini/models/gemini-embedding-001", "input": "test"}' | \ jq '.data[0].embedding | length' ```	2025-10-15 12:22:10 -04:00
slekkala1	ce8ea2f505	chore: Support embedding params from metadata for Vector Store (#3811) ... # What does this PR do? Support reading embedding model and dimensions from metadata for vector store ## Test Plan Unit Tests	2025-10-15 15:53:36 +02:00
Francisco Arceo	ef4bc70bbe	feat: Enable setting a default embedding model in the stack (#3803) ... # What does this PR do? Enables automatic embedding model detection for vector stores and by using a `default_configured` boolean that can be defined in the `run.yaml`. <!-- If resolving an issue, uncomment and update the line below --> <!-- Closes #[issue-number] --> ## Test Plan - Unit tests - Integration tests - Simple example below: Spin up the stack: ```bash uv run llama stack build --distro starter --image-type venv --run ``` Then test with OpenAI's client: ```python from openai import OpenAI client = OpenAI(base_url="http://localhost:8321/v1/", api_key="none") vs = client.vector_stores.create() ``` Previously you needed: ```python vs = client.vector_stores.create( extra_body={ "embedding_model": "sentence-transformers/all-MiniLM-L6-v2", "embedding_dimension": 384, } ) ``` The `extra_body` is now unnecessary. --------- Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>	2025-10-14 18:25:13 -07:00
Jiayi Ni	d875e427bf	refactor: use extra_body to pass in input_type params for asymmetric embedding models for NVIDIA Inference Provider (#3804) ... # What does this PR do? <!-- Provide a short summary of what this PR does and why. Link to relevant issues if applicable. --> Previously, the NVIDIA inference provider implemented a custom `openai_embeddings` method with a hardcoded `input_type="query"` parameter, which is required by NVIDIA asymmetric embedding models([https://github.com/llamastack/llama-stack/pull/3205](https://github.com/llamastack/llama-stack/pull/3205)). Recently `extra_body` parameter is added to the embeddings API ([https://github.com/llamastack/llama-stack/pull/3794](https://github.com/llamastack/llama-stack/pull/3794)). So, this PR updates the NVIDIA inference provider to use the base `OpenAIMixin.openai_embeddings` method instead and pass the `input_type` through the `extra_body` parameter for asymmetric embedding models. <!-- 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 the following command for the ```embedding_model```: ```nvidia/llama-3.2-nv-embedqa-1b-v2```, ```nvidia/nv-embedqa-e5-v5```, ```nvidia/nv-embedqa-mistral-7b-v2```, and ```snowflake/arctic-embed-l```. ``` pytest -s -v tests/integration/inference/test_openai_embeddings.py --stack-config="inference=nvidia" --embedding-model={embedding_model} --env NVIDIA_API_KEY={nvidia_api_key} --env NVIDIA_BASE_URL="https://integrate.api.nvidia.com" --inference-mode=record ```	2025-10-14 13:52:55 -07:00
ehhuang	866c13cdc2	chore(api)!: BREAKING CHANGE: remove ALL telemetry APIs (#3740) ... # What does this PR do? As discussed on discord, we do not need to reinvent the wheel for telemetry. Instead we'll lean into the canonical OTEL stack. Logs/traces/metrics will still be sent via OTEL - they just won't be stored on, queried through Stack. This is the first of many PRs to remove telemetry API from Stack. 1) removed webmethod decorators to remove from API spec 2) removed tests as @iamemilio is adding them on otel directly. ## Test Plan	2025-10-14 13:48:40 -07:00
IAN MILLER	007efa6eb5	refactor: replace default all-MiniLM-L6-v2 embedding model by nomic-embed-text-v1.5 in Llama Stack (#3183) ... # What does this PR do? <!-- Provide a short summary of what this PR does and why. Link to relevant issues if applicable. --> The purpose of this PR is to replace the Llama Stack's default embedding model by nomic-embed-text-v1.5. These are the key reasons why Llama Stack community decided to switch from all-MiniLM-L6-v2 to nomic-embed-text-v1.5: 1. The training data for [all-MiniLM-L6-v2](https://huggingface.co/sentence-transformers/all-MiniLM-L6-v2#training-data) includes a lot of data sets with various licensing terms, so it is tricky to know when/whether it is appropriate to use this model for commercial applications. 2. The model is not particularly competitive on major benchmarks. For example, if you look at the [MTEB Leaderboard](https://huggingface.co/spaces/mteb/leaderboard) and click on Miscellaneous/BEIR to see English information retrieval accuracy, you see that the top of the leaderboard is dominated by enormous models but also that there are many, many models of relatively modest size whith much higher Retrieval scores. If you want to look closely at the data, I recommend clicking "Download Table" because it is easier to browse that way. More discussion info can be founded [here](https://github.com/llamastack/llama-stack/issues/2418) <!-- If resolving an issue, uncomment and update the line below --> <!-- Closes #[issue-number] --> Closes #2418 ## 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. Run `./scripts/unit-tests.sh` 2. Integration tests via CI wokrflow --------- Signed-off-by: Sébastien Han <seb@redhat.com> Co-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com> Co-authored-by: Francisco Arceo <arceofrancisco@gmail.com> Co-authored-by: Sébastien Han <seb@redhat.com>	2025-10-14 10:44:20 -04:00
Cesare Pompeiano	0dbf79c328	fix: Fixed WatsonX remote inference provider (#3801) ... # What does this PR do? This PR fixes issues with the WatsonX provider so it works correctly with LiteLLM. The main problem was that WatsonX requests failed because the provider data validator didn’t properly handle the API key and project ID. This was fixed by updating the WatsonXProviderDataValidator and ensuring the provider data is loaded correctly. The openai_chat_completion method was also updated to match the behavior of other providers while adding WatsonX-specific fields like project_id. It still calls await super().openai_chat_completion.__func__(self, params) to keep the existing setup and tracing logic. After these changes, WatsonX requests now run correctly. ## Test Plan The changes were tested by running chat completion requests and confirming that credentials and project parameters are passed correctly. I have tested with my WatsonX credentials, by using the cli with `uv run llama-stack-client inference chat-completion --session` --------- Signed-off-by: Sébastien Han <seb@redhat.com> Co-authored-by: Sébastien Han <seb@redhat.com>	2025-10-14 14:52:32 +02:00
Sébastien Han	1136daf310	fix: replace python-jose with PyJWT for JWT handling (#3756) ... # What does this PR do? This commit migrates the authentication system from python-jose to PyJWT to eliminate the dependency on the archived rsa package. The migration includes: - Refactored OAuth2TokenAuthProvider to use PyJWT's PyJWKClient for clean JWKS handling - Removed manual JWKS fetching, caching and key extraction logic in favor of PyJWT's built-in functionality The new implementation is cleaner, more maintainable, and follows PyJWT best practices while maintaining full backward compatibility. ## Test Plan Unit tests. Auth CI. --------- Signed-off-by: Sébastien Han <seb@redhat.com>	2025-10-14 09:35:48 +02:00
Francisco Arceo	968c364a3e	chore: Auto-detect Provider ID when only 1 Vector Store Provider avai… (#3802) ... # What does this PR do? 2 main changes: 1. Remove `provider_id` requirement in call to vector stores and 2. Removes "register first embedding model" logic - Now forces embedding model id as required on Vector Store creation Simplifies the UX for OpenAI to: ```python vs = client.vector_stores.create( name="my_citations_db", extra_body={ "embedding_model": "ollama/nomic-embed-text:latest", } ) ``` <!-- 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: Francisco Javier Arceo <farceo@redhat.com>	2025-10-13 10:25:36 -07:00
raghotham	b95f095a54	feat: Allow :memory: for kvstore (#3696) ... ## Test Plan added unit tests	2025-10-13 11:19:27 +02:00
Ashwin Bharambe	ecc8a554d2	feat(api)!: support extra_body to embeddings and vector_stores APIs (#3794) ... Applies the same pattern from https://github.com/llamastack/llama-stack/pull/3777 to embeddings and vector_stores.create() endpoints. This should _not_ be a breaking change since (a) our tests were already using the `extra_body` parameter when passing in to the backend (b) but the backend probably wasn't extracting the parameters correctly. This PR will fix that. Updated APIs: `openai_embeddings(), openai_create_vector_store(), openai_create_vector_store_file_batch()`	2025-10-12 19:01:52 -07:00
slekkala1	3bb6ef351b	chore!: Safety api refactoring to use OpenAIMessageParam (#3796) ... # What does this PR do? Remove usage of deprecated `Message` from Safety apis ## Test Plan CI	2025-10-12 08:01:00 -07:00
dependabot[bot]	82cbcada39	chore(ui-deps): bump lucide-react from 0.542.0 to 0.545.0 in /llama_stack/ui (#3788) ... Bumps [lucide-react](https://github.com/lucide-icons/lucide/tree/HEAD/packages/lucide-react) from 0.542.0 to 0.545.0. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/lucide-icons/lucide/releases">lucide-react's releases</a>.</em></p> <blockquote> <h2>Version 0.545.0</h2> <h2>What's Changed</h2> <ul> <li>fix(icons): changed <code>flame</code> icon by <a href="https://github.com/jamiemlaw"><code>@​jamiemlaw</code></a> in <a href="https://redirect.github.com/lucide-icons/lucide/pull/3600">lucide-icons/lucide#3600</a></li> <li>fix(icons): arcified <code>square-m</code> icon by <a href="https://github.com/jguddas"><code>@​jguddas</code></a> in <a href="https://redirect.github.com/lucide-icons/lucide/pull/3549">lucide-icons/lucide#3549</a></li> <li>chore(deps-dev): bump vite from 6.3.5 to 6.3.6 by <a href="https://github.com/dependabot"><code>@​dependabot</code></a>[bot] in <a href="https://redirect.github.com/lucide-icons/lucide/pull/3611">lucide-icons/lucide#3611</a></li> <li>fix(icons): changed <code>combine</code> icon by <a href="https://github.com/jguddas"><code>@​jguddas</code></a> in <a href="https://redirect.github.com/lucide-icons/lucide/pull/3200">lucide-icons/lucide#3200</a></li> <li>fix(icons): changed <code>building-2</code> icon by <a href="https://github.com/karsa-mistmere"><code>@​karsa-mistmere</code></a> in <a href="https://redirect.github.com/lucide-icons/lucide/pull/3509">lucide-icons/lucide#3509</a></li> <li>chore(deps): bump devalue from 5.1.1 to 5.3.2 by <a href="https://github.com/dependabot"><code>@​dependabot</code></a>[bot] in <a href="https://redirect.github.com/lucide-icons/lucide/pull/3638">lucide-icons/lucide#3638</a></li> <li>feat(icons): Add <code>motorbike</code> icon by <a href="https://github.com/jamiemlaw"><code>@​jamiemlaw</code></a> in <a href="https://redirect.github.com/lucide-icons/lucide/pull/3371">lucide-icons/lucide#3371</a></li> </ul> <p><strong>Full Changelog</strong>: <a href="https://github.com/lucide-icons/lucide/compare/0.544.0...0.545.0">https://github.com/lucide-icons/lucide/compare/0.544.0...0.545.0</a></p> <h2>Version 0.544.0</h2> <h2>What's Changed</h2> <ul> <li>docs: update lucide-static documentation about raw string imports by <a href="https://github.com/pascalduez"><code>@​pascalduez</code></a> in <a href="https://redirect.github.com/lucide-icons/lucide/pull/3524">lucide-icons/lucide#3524</a></li> <li>feat(icons): added <code>ev-charger</code> icon by <a href="https://github.com/UsamaKhan"><code>@​UsamaKhan</code></a> in <a href="https://redirect.github.com/lucide-icons/lucide/pull/2781">lucide-icons/lucide#2781</a></li> </ul> <h2>New Contributors</h2> <ul> <li><a href="https://github.com/pascalduez"><code>@​pascalduez</code></a> made their first contribution in <a href="https://redirect.github.com/lucide-icons/lucide/pull/3524">lucide-icons/lucide#3524</a></li> </ul> <p><strong>Full Changelog</strong>: <a href="https://github.com/lucide-icons/lucide/compare/0.543.0...0.544.0">https://github.com/lucide-icons/lucide/compare/0.543.0...0.544.0</a></p> <h2>Version 0.543.0</h2> <h2>What's Changed</h2> <ul> <li>feat(preview-comment): put x-ray at top if there are more than 7 changed icons to prevent them from being cut of by <a href="https://github.com/jguddas"><code>@​jguddas</code></a> in <a href="https://redirect.github.com/lucide-icons/lucide/pull/3589">lucide-icons/lucide#3589</a></li> <li>fix(icons): changed <code>church</code> icon by <a href="https://github.com/karsa-mistmere"><code>@​karsa-mistmere</code></a> in <a href="https://redirect.github.com/lucide-icons/lucide/pull/2971">lucide-icons/lucide#2971</a></li> <li>chore(metadata): Added tags to <code>messages-square</code> by <a href="https://github.com/jamiemlaw"><code>@​jamiemlaw</code></a> in <a href="https://redirect.github.com/lucide-icons/lucide/pull/3529">lucide-icons/lucide#3529</a></li> <li>fix(icons): Optimise <code>bug</code> icons by <a href="https://github.com/jamiemlaw"><code>@​jamiemlaw</code></a> in <a href="https://redirect.github.com/lucide-icons/lucide/pull/3574">lucide-icons/lucide#3574</a></li> <li>fix(icons): changed list/text &amp; derived icons by <a href="https://github.com/karsa-mistmere"><code>@​karsa-mistmere</code></a> in <a href="https://redirect.github.com/lucide-icons/lucide/pull/3568">lucide-icons/lucide#3568</a></li> <li>fix(icons): changed <code>panel-top-bottom-dashed</code> icon by <a href="https://github.com/jguddas"><code>@​jguddas</code></a> in <a href="https://redirect.github.com/lucide-icons/lucide/pull/3584">lucide-icons/lucide#3584</a></li> <li>fix(icons): changed <code>message-square-quote</code> icon by <a href="https://github.com/jguddas"><code>@​jguddas</code></a> in <a href="https://redirect.github.com/lucide-icons/lucide/pull/3550">lucide-icons/lucide#3550</a></li> <li>fix(meta): added tag to <code>ship</code> metadata by <a href="https://github.com/jguddas"><code>@​jguddas</code></a> in <a href="https://redirect.github.com/lucide-icons/lucide/pull/3559">lucide-icons/lucide#3559</a></li> <li>fix(meta): add tags to <code>id-card-lanyard</code> metadata by <a href="https://github.com/jguddas"><code>@​jguddas</code></a> in <a href="https://redirect.github.com/lucide-icons/lucide/pull/3534">lucide-icons/lucide#3534</a></li> <li>fix(icons): changed <code>calendar-cog</code> icon by <a href="https://github.com/jguddas"><code>@​jguddas</code></a> in <a href="https://redirect.github.com/lucide-icons/lucide/pull/3583">lucide-icons/lucide#3583</a></li> <li>chore(deps): bump astro from 5.5.2 to 5.13.2 by <a href="https://github.com/dependabot"><code>@​dependabot</code></a>[bot] in <a href="https://redirect.github.com/lucide-icons/lucide/pull/3564">lucide-icons/lucide#3564</a></li> <li>feat(packages): add new package for flutter by <a href="https://github.com/vqh2602"><code>@​vqh2602</code></a> in <a href="https://redirect.github.com/lucide-icons/lucide/pull/3536">lucide-icons/lucide#3536</a></li> <li>feat(icons): added <code>house-heart</code> icon by <a href="https://github.com/danielbayley"><code>@​danielbayley</code></a> in <a href="https://redirect.github.com/lucide-icons/lucide/pull/3239">lucide-icons/lucide#3239</a></li> </ul> <p><strong>Full Changelog</strong>: <a href="https://github.com/lucide-icons/lucide/compare/0.542.0...0.543.0">https://github.com/lucide-icons/lucide/compare/0.542.0...0.543.0</a></p> </blockquote> </details> <details> <summary>Commits</summary> <ul> <li><a href="1cfb3ff70e"><code>1cfb3ff</code></a> chore(deps-dev): bump vite from 6.3.5 to 6.3.6 (<a href="https://github.com/lucide-icons/lucide/tree/HEAD/packages/lucide-react/issues/3611">#3611</a>)</li> <li>See full diff in <a href="https://github.com/lucide-icons/lucide/commits/0.545.0/packages/lucide-react">compare view</a></li> </ul> </details> <br /> [](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) --- <details> <summary>Dependabot commands and options</summary> <br /> You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot show <dependency name> ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) </details> Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>	2025-10-11 21:40:48 -04:00
dependabot[bot]	e94840d298	chore(ui-deps): bump framer-motion from 12.23.12 to 12.23.24 in /llama_stack/ui (#3792) ... Bumps [framer-motion](https://github.com/motiondivision/motion) from 12.23.12 to 12.23.24. <details> <summary>Changelog</summary> <p><em>Sourced from <a href="https://github.com/motiondivision/motion/blob/main/CHANGELOG.md">framer-motion's changelog</a>.</em></p> <blockquote> <h2>[12.23.24] 2025-10-10</h2> <h3>Fixed</h3> <ul> <li>Ensure that when a component remounts, it continues to fire animations even when <code>initial={false}</code>.</li> </ul> <h2>[12.23.23] 2025-10-10</h2> <h3>Added</h3> <ul> <li>Exporting <code>PresenceChild</code> and <code>PopChild</code> type for internal use.</li> </ul> <h2>[12.23.22] 2025-09-25</h2> <h3>Added</h3> <ul> <li>Exporting <code>HTMLElements</code> and <code>useComposedRefs</code> type for internal use.</li> </ul> <h2>[12.23.21] 2025-09-24</h2> <h3>Fixed</h3> <ul> <li>Fixing main-thread <code>scroll</code> with animations that contain <code>delay</code>.</li> </ul> <h2>[12.23.20] 2025-09-24</h2> <h3>Fixed</h3> <ul> <li>Suppress non-animatable value warning for instant animations.</li> </ul> <h2>[12.23.19] 2025-09-23</h2> <h3>Fixed</h3> <ul> <li>Remove support for changing <code>ref</code> prop.</li> </ul> <h2>[12.23.18] 2025-09-19</h2> <h3>Fixed</h3> <ul> <li><code>&lt;motion /&gt;</code> components now support changing <code>ref</code> prop.</li> </ul> <h2>[12.23.17] 2025-09-19</h2> <h3>Fixed</h3> <ul> <li>Ensure <code>animate()</code> <code>onComplete</code> only fires once, when all values are complete.</li> </ul> <h2>[12.23.16] 2025-09-19</h2> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="b5df740a46"><code>b5df740</code></a> v12.23.24</li> <li><a href="808ebce630"><code>808ebce</code></a> Updating changelog</li> <li><a href="237eee2246"><code>237eee2</code></a> v12.23.23</li> <li><a href="834965c803"><code>834965c</code></a> Updating changelog</li> <li><a href="40690864e9"><code>4069086</code></a> Update README.md</li> <li><a href="6da6b61e94"><code>6da6b61</code></a> Update README.md with new sponsor links</li> <li><a href="e36683149d"><code>e366831</code></a> Update README.md</li> <li><a href="7796f4f1e0"><code>7796f4f</code></a> Update Gold section with new links and images</li> <li><a href="d1bb93757c"><code>d1bb937</code></a> Update sponsor section in README.md</li> <li><a href="97fba16059"><code>97fba16</code></a> Update sponsorship logos in README</li> <li>Additional commits viewable in <a href="https://github.com/motiondivision/motion/compare/v12.23.12...v12.23.24">compare view</a></li> </ul> </details> <br /> [](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) --- <details> <summary>Dependabot commands and options</summary> <br /> You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot show <dependency name> ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) </details> Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>	2025-10-11 21:36:01 -04:00
dependabot[bot]	25ea94fcf7	chore(ui-deps): bump eslint from 9.26.0 to 9.37.0 in /llama_stack/ui (#3791) ... Bumps [eslint](https://github.com/eslint/eslint) from 9.26.0 to 9.37.0. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/eslint/eslint/releases">eslint's releases</a>.</em></p> <blockquote> <h2>v9.37.0</h2> <h2>Features</h2> <ul> <li><a href="39f7fb493a"><code>39f7fb4</code></a> feat: <code>preserve-caught-error</code> should recognize all static &quot;cause&quot; keys (<a href="https://redirect.github.com/eslint/eslint/issues/20163">#20163</a>) (Pixel998)</li> <li><a href="f81eabc584"><code>f81eabc</code></a> feat: support TS syntax in <code>no-restricted-imports</code> (<a href="https://redirect.github.com/eslint/eslint/issues/19562">#19562</a>) (Nitin Kumar)</li> </ul> <h2>Bug Fixes</h2> <ul> <li><a href="a129cced7a"><code>a129cce</code></a> fix: correct <code>no-loss-of-precision</code> false positives for leading zeros (<a href="https://redirect.github.com/eslint/eslint/issues/20164">#20164</a>) (Francesco Trotta)</li> <li><a href="09e04fcc3f"><code>09e04fc</code></a> fix: add missing AST token types (<a href="https://redirect.github.com/eslint/eslint/issues/20172">#20172</a>) (Pixel998)</li> <li><a href="861c6da2bd"><code>861c6da</code></a> fix: correct <code>ESLint</code> typings (<a href="https://redirect.github.com/eslint/eslint/issues/20122">#20122</a>) (Pixel998)</li> </ul> <h2>Documentation</h2> <ul> <li><a href="b950359c5f"><code>b950359</code></a> docs: fix typos across the docs (<a href="https://redirect.github.com/eslint/eslint/issues/20182">#20182</a>) (루밀LuMir)</li> <li><a href="42498a2798"><code>42498a2</code></a> docs: improve ToC accessibility by hiding non-semantic character (<a href="https://redirect.github.com/eslint/eslint/issues/20181">#20181</a>) (Percy Ma)</li> <li><a href="29ea092b93"><code>29ea092</code></a> docs: Update README (GitHub Actions Bot)</li> <li><a href="5c97a04578"><code>5c97a04</code></a> docs: show <code>availableUntil</code> in deprecated rule banner (<a href="https://redirect.github.com/eslint/eslint/issues/20170">#20170</a>) (Pixel998)</li> <li><a href="90a71bf502"><code>90a71bf</code></a> docs: update <code>README</code> files to add badge and instructions (<a href="https://redirect.github.com/eslint/eslint/issues/20115">#20115</a>) (루밀LuMir)</li> <li><a href="1603ae1526"><code>1603ae1</code></a> docs: update references from <code>master</code> to <code>main</code> (<a href="https://redirect.github.com/eslint/eslint/issues/20153">#20153</a>) (루밀LuMir)</li> </ul> <h2>Chores</h2> <ul> <li><a href="afe8a13469"><code>afe8a13</code></a> chore: update <code>@eslint/js</code> dependency to version 9.37.0 (<a href="https://redirect.github.com/eslint/eslint/issues/20183">#20183</a>) (Francesco Trotta)</li> <li><a href="abee4ca1fa"><code>abee4ca</code></a> chore: package.json update for <code>@​eslint/js</code> release (Jenkins)</li> <li><a href="fc9381f6ca"><code>fc9381f</code></a> chore: fix typos in comments (<a href="https://redirect.github.com/eslint/eslint/issues/20175">#20175</a>) (overlookmotel)</li> <li><a href="e1574a22d3"><code>e1574a2</code></a> chore: unpin jiti (<a href="https://redirect.github.com/eslint/eslint/issues/20173">#20173</a>) (renovate[bot])</li> <li><a href="e1ac05e2fa"><code>e1ac05e</code></a> refactor: mark <code>ESLint.findConfigFile()</code> as <code>async</code>, add missing docs (<a href="https://redirect.github.com/eslint/eslint/issues/20157">#20157</a>) (Pixel998)</li> <li><a href="347906d627"><code>347906d</code></a> chore: update eslint (<a href="https://redirect.github.com/eslint/eslint/issues/20149">#20149</a>) (renovate[bot])</li> <li><a href="0cb5897e24"><code>0cb5897</code></a> test: remove tmp dir created for circular fixes in multithread mode test (<a href="https://redirect.github.com/eslint/eslint/issues/20146">#20146</a>) (Milos Djermanovic)</li> <li><a href="bb995665e3"><code>bb99566</code></a> ci: pin <code>jiti</code> to version 2.5.1 (<a href="https://redirect.github.com/eslint/eslint/issues/20151">#20151</a>) (Pixel998)</li> <li><a href="177f669adc"><code>177f669</code></a> perf: improve worker count calculation for <code>&quot;auto&quot;</code> concurrency (<a href="https://redirect.github.com/eslint/eslint/issues/20067">#20067</a>) (Francesco Trotta)</li> <li><a href="448b57bca3"><code>448b57b</code></a> chore: Mark deprecated formatting rules as available until v11.0.0 (<a href="https://redirect.github.com/eslint/eslint/issues/20144">#20144</a>) (Milos Djermanovic)</li> </ul> <h2>v9.36.0</h2> <h2>Features</h2> <ul> <li><a href="47afcf668d"><code>47afcf6</code></a> feat: correct <code>preserve-caught-error</code> edge cases (<a href="https://redirect.github.com/eslint/eslint/issues/20109">#20109</a>) (Francesco Trotta)</li> </ul> <h2>Bug Fixes</h2> <ul> <li><a href="75b74d865d"><code>75b74d8</code></a> fix: add missing rule option types (<a href="https://redirect.github.com/eslint/eslint/issues/20127">#20127</a>) (ntnyq)</li> <li><a href="1c0d85049e"><code>1c0d850</code></a> fix: update <code>eslint-all.js</code> to use <code>Object.freeze</code> for <code>rules</code> object (<a href="https://redirect.github.com/eslint/eslint/issues/20116">#20116</a>) (루밀LuMir)</li> <li><a href="7d61b7fadc"><code>7d61b7f</code></a> fix: add missing scope types to <code>Scope.type</code> (<a href="https://redirect.github.com/eslint/eslint/issues/20110">#20110</a>) (Pixel998)</li> <li><a href="7a670c301b"><code>7a670c3</code></a> fix: correct rule option typings in <code>rules.d.ts</code> (<a href="https://redirect.github.com/eslint/eslint/issues/20084">#20084</a>) (Pixel998)</li> </ul> <h2>Documentation</h2> <ul> <li><a href="b73ab12acd"><code>b73ab12</code></a> docs: update examples to use <code>defineConfig</code> (<a href="https://redirect.github.com/eslint/eslint/issues/20131">#20131</a>) (sethamus)</li> <li><a href="31d9392699"><code>31d9392</code></a> docs: fix typos (<a href="https://redirect.github.com/eslint/eslint/issues/20118">#20118</a>) (Pixel998)</li> <li><a href="c7f861b3f8"><code>c7f861b</code></a> docs: Update README (GitHub Actions Bot)</li> <li><a href="6b0c08b106"><code>6b0c08b</code></a> docs: Update README (GitHub Actions Bot)</li> <li><a href="91f97c5046"><code>91f97c5</code></a> docs: Update README (GitHub Actions Bot)</li> </ul> <h2>Chores</h2> <ul> <li><a href="12411e8d45"><code>12411e8</code></a> chore: upgrade <code>@​eslint/js</code><a href="https://github.com/9"><code>@​9</code></a>.36.0 (<a href="https://redirect.github.com/eslint/eslint/issues/20139">#20139</a>) (Milos Djermanovic)</li> <li><a href="488cba6b39"><code>488cba6</code></a> chore: package.json update for <code>@​eslint/js</code> release (Jenkins)</li> </ul> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="d5d1bdf5fd"><code>d5d1bdf</code></a> 9.37.0</li> <li><a href="94865ff41c"><code>94865ff</code></a> Build: changelog update for 9.37.0</li> <li><a href="afe8a13469"><code>afe8a13</code></a> chore: update <code>@eslint/js</code> dependency to version 9.37.0 (<a href="https://redirect.github.com/eslint/eslint/issues/20183">#20183</a>)</li> <li><a href="abee4ca1fa"><code>abee4ca</code></a> chore: package.json update for <code>@​eslint/js</code> release</li> <li><a href="b950359c5f"><code>b950359</code></a> docs: fix typos across the docs (<a href="https://redirect.github.com/eslint/eslint/issues/20182">#20182</a>)</li> <li><a href="42498a2798"><code>42498a2</code></a> docs: improve ToC accessibility by hiding non-semantic character (<a href="https://redirect.github.com/eslint/eslint/issues/20181">#20181</a>)</li> <li><a href="fc9381f6ca"><code>fc9381f</code></a> chore: fix typos in comments (<a href="https://redirect.github.com/eslint/eslint/issues/20175">#20175</a>)</li> <li><a href="e1574a22d3"><code>e1574a2</code></a> chore: unpin jiti (<a href="https://redirect.github.com/eslint/eslint/issues/20173">#20173</a>)</li> <li><a href="29ea092b93"><code>29ea092</code></a> docs: Update README</li> <li><a href="a129cced7a"><code>a129cce</code></a> fix: correct <code>no-loss-of-precision</code> false positives for leading zeros (<a href="https://redirect.github.com/eslint/eslint/issues/20164">#20164</a>)</li> <li>Additional commits viewable in <a href="https://github.com/eslint/eslint/compare/v9.26.0...v9.37.0">compare view</a></li> </ul> </details> <br /> [](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) --- <details> <summary>Dependabot commands and options</summary> <br /> You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot show <dependency name> ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) </details> Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>	2025-10-11 18:00:29 -07:00
dependabot[bot]	190b96ea62	chore(ui-deps): bump @types/react-dom from 19.2.0 to 19.2.1 in /llama_stack/ui (#3789) ... Bumps [@types/react-dom](https://github.com/DefinitelyTyped/DefinitelyTyped/tree/HEAD/types/react-dom) from 19.2.0 to 19.2.1. <details> <summary>Commits</summary> <ul> <li>See full diff in <a href="https://github.com/DefinitelyTyped/DefinitelyTyped/commits/HEAD/types/react-dom">compare view</a></li> </ul> </details> <br /> [](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) --- <details> <summary>Dependabot commands and options</summary> <br /> You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot show <dependency name> ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) </details> Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>	2025-10-11 18:00:22 -07:00
dependabot[bot]	4fb39f0a6a	chore(ui-deps): bump @types/react from 19.2.0 to 19.2.2 in /llama_stack/ui (#3790) ... Bumps [@types/react](https://github.com/DefinitelyTyped/DefinitelyTyped/tree/HEAD/types/react) from 19.2.0 to 19.2.2. <details> <summary>Commits</summary> <ul> <li>See full diff in <a href="https://github.com/DefinitelyTyped/DefinitelyTyped/commits/HEAD/types/react">compare view</a></li> </ul> </details> <br /> [](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) --- <details> <summary>Dependabot commands and options</summary> <br /> You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot show <dependency name> ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) </details> Signed-off-by: dependabot[bot] <support@github.com> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>	2025-10-11 18:00:18 -07:00
Ashwin Bharambe	e6378872c7	fix(misc): pre-commit fix for server.py	2025-10-11 16:47:59 -07:00
Ashwin Bharambe	7c63aebd64	feat(responses)!: add reasoning and annotation added events (#3793) ... Implements missing streaming events from OpenAI Responses API spec: - reasoning text/summary events for o1/o3 models, - refusal events for safety moderation - annotation events for citations, - and file search streaming events. Added optional reasoning_content field to chat completion chunks to support non-standard provider extensions. **NOTE:** OpenAI does _not_ fill reasoning_content when users use the chat_completion APIs. This means there is no way for us to implement Responses (with reasoning) by using OpenAI chat completions! We'd need to transparently punt to OpenAI's responses endpoints if we wish to do that. For others though (vLLM, etc.) we can use it. ## Test Plan File search streaming test passes: ``` ./scripts/integration-tests.sh --stack-config server:ci-tests \ --suite responses --setup gpt --inference-mode replay --pattern test_response_file_search_streaming_events ``` Need more complex setup and validation for reasoning tests (need a vLLM powered OSS model maybe gpt-oss which can return reasoning_content). I will do that in a followup PR.	2025-10-11 16:47:14 -07:00
Ashwin Bharambe	f365961731	fix(tests): handle TEST_CONTEXT not being set	2025-10-11 15:31:08 -07:00
Francisco Arceo	a165b8b5bb	chore!: BREAKING CHANGE removing VectorDB APIs (#3774) ... # What does this PR do? Removes VectorDBs from API surface and our tests. Moves tests to Vector Stores. <!-- 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: Francisco Javier Arceo <farceo@redhat.com> Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>	2025-10-11 14:07:08 -07:00
ehhuang	06e4cd8e02	feat(api)!: BREAKING CHANGE: support passing extra_body through to providers (#3777) ... # What does this PR do? Allows passing through extra_body parameters to inference providers. With this, we removed the 2 vllm-specific parameters from completions API into `extra_body`. Before/After <img width="1883" height="324" alt="image" src="https://github.com/user-attachments/assets/acb27c08-c748-46c9-b1da-0de64e9908a1" /> closes #2720 ## Test Plan CI and added new test ``` ❯ uv run pytest -s -v tests/integration/ --stack-config=server:starter --inference-mode=record -k 'not( builtin_tool or safety_with_image or code_interpreter or test_rag ) and test_openai_completion_guided_choice' --setup=vllm --suite=base --color=yes Uninstalled 3 packages in 125ms Installed 3 packages in 19ms INFO 2025-10-10 14:29:54,317 tests.integration.conftest:118 tests: Applying setup 'vllm' for suite base INFO 2025-10-10 14:29:54,331 tests.integration.conftest:47 tests: Test stack config type: server (stack_config=server:starter) ============================================================================================================== test session starts ============================================================================================================== platform darwin -- Python 3.12.11, pytest-8.4.2, pluggy-1.6.0 -- /Users/erichuang/projects/llama-stack-1/.venv/bin/python cachedir: .pytest_cache metadata: {'Python': '3.12.11', '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'}} rootdir: /Users/erichuang/projects/llama-stack-1 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 asyncio: mode=Mode.AUTO, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function collected 285 items / 284 deselected / 1 selected tests/integration/inference/test_openai_completion.py::test_openai_completion_guided_choice[txt=vllm/Qwen/Qwen3-0.6B] instantiating llama_stack_client Starting llama stack server with config 'starter' on port 8321... Waiting for server at http://localhost:8321... (0.0s elapsed) Waiting for server at http://localhost:8321... (0.5s elapsed) Waiting for server at http://localhost:8321... (5.1s elapsed) Waiting for server at http://localhost:8321... (5.6s elapsed) Waiting for server at http://localhost:8321... (10.1s elapsed) Waiting for server at http://localhost:8321... (10.6s elapsed) Server is ready at http://localhost:8321 llama_stack_client instantiated in 11.773s PASSEDTerminating llama stack server process... Terminating process 98444 and its group... Server process and children terminated gracefully ============================================================================================================= slowest 10 durations ============================================================================================================== 11.88s setup tests/integration/inference/test_openai_completion.py::test_openai_completion_guided_choice[txt=vllm/Qwen/Qwen3-0.6B] 3.02s call tests/integration/inference/test_openai_completion.py::test_openai_completion_guided_choice[txt=vllm/Qwen/Qwen3-0.6B] 0.01s teardown tests/integration/inference/test_openai_completion.py::test_openai_completion_guided_choice[txt=vllm/Qwen/Qwen3-0.6B] ================================================================================================ 1 passed, 284 deselected, 3 warnings in 16.21s ================================================================================================= ```	2025-10-10 16:21:44 -07:00
ehhuang	80d58ab519	chore: refactor (chat)completions endpoints to use shared params struct (#3761) ... # What does this PR do? Converts openai(_chat)_completions params to pydantic BaseModel to reduce code duplication across all providers. ## Test Plan CI --- [//]: # (BEGIN SAPLING FOOTER) Stack created with [Sapling](https://sapling-scm.com). Best reviewed with [ReviewStack](https://reviewstack.dev/llamastack/llama-stack/pull/3761). * #3777 * __->__ #3761	2025-10-10 15:46:34 -07:00
Derek Higgins	6954fe2274	fix(auth): allow unauthenticated access to health and version endpoints (#3736) ... The AuthenticationMiddleware was blocking all requests without an Authorization header, including health and version endpoints that are needed by monitoring tools, load balancers, and Kubernetes probes. This commit allows endpoints ending in /health or /version to bypass authentication, enabling operational tooling to function properly without requiring credentials. Closes: #3735 Signed-off-by: Derek Higgins <derekh@redhat.com>	2025-10-10 13:41:43 -07:00
Varsha	32fde8d9a8	feat: Add /v1/embeddings endpoint to batches API (#3384) ... # What does this PR do? This PR extends the Llama Stack Batches API to support the /v1/embeddings endpoint, enabling efficient batch processing of embedding requests alongside the existing /v1/chat/completions and /v1/completions support. <!-- If resolving an issue, uncomment and update the line below --> <!-- Closes #[issue-number] --> Closes: https://github.com/llamastack/llama-stack/issues/3145 ## 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.* --> ``` (stack-client) ➜ llama-stack git:(support/embeddings-api) conda activate stack-client && python -m pytest tests/unit/providers/batches/test_reference.py -v ============================================================================================================================================ test session starts ============================================================================================================================================= platform darwin -- Python 3.12.11, pytest-7.4.4, pluggy-1.5.0 -- /Users/vnarsing/miniconda3/envs/stack-client/bin/python cachedir: .pytest_cache metadata: {'Python': '3.12.11', 'Platform': 'macOS-15.6.1-arm64-arm-64bit', 'Packages': {'pytest': '7.4.4', 'pluggy': '1.5.0'}, 'Plugins': {'asyncio': '0.23.8', 'cov': '6.0.0', 'timeout': '2.2.0', 'socket': '0.7.0', 'xdist': '3.8.0', 'html': '3.1.1', 'langsmith': '0.3.39', 'anyio': '4.8.0', 'metadata': '3.0.0'}} rootdir: /Users/vnarsing/go/src/github/meta-llama/llama-stack configfile: pyproject.toml plugins: asyncio-0.23.8, cov-6.0.0, timeout-2.2.0, socket-0.7.0, xdist-3.8.0, html-3.1.1, langsmith-0.3.39, anyio-4.8.0, metadata-3.0.0 asyncio: mode=Mode.AUTO collected 46 items tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_create_and_retrieve_batch_success PASSED [ 2%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_create_batch_without_metadata PASSED [ 4%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_create_batch_completion_window PASSED [ 6%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_create_batch_invalid_endpoints[/v1/invalid/endpoint] PASSED [ 8%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_create_batch_invalid_endpoints[] PASSED [ 10%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_create_batch_invalid_metadata PASSED [ 13%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_retrieve_batch_not_found PASSED [ 15%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_cancel_batch_success PASSED [ 17%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_cancel_batch_invalid_statuses[failed] PASSED [ 19%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_cancel_batch_invalid_statuses[expired] PASSED [ 21%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_cancel_batch_invalid_statuses[completed] PASSED [ 23%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_cancel_batch_not_found PASSED [ 26%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_list_batches_empty PASSED [ 28%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_list_batches_single_batch PASSED [ 30%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_list_batches_multiple_batches PASSED [ 32%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_list_batches_with_limit PASSED [ 34%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_list_batches_with_pagination PASSED [ 36%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_list_batches_invalid_after PASSED [ 39%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_kvstore_persistence PASSED [ 41%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_validate_input_file_not_found PASSED [ 43%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_validate_input_file_exists_empty_content PASSED [ 45%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_validate_input_file_mixed_valid_invalid_json PASSED [ 47%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_validate_input_invalid_model PASSED [ 50%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_validate_input_missing_parameters_chat_completions[custom_id-custom_id-missing_required_parameter-Missing required parameter: custom_id] PASSED [ 52%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_validate_input_missing_parameters_chat_completions[method-method-missing_required_parameter-Missing required parameter: method] PASSED [ 54%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_validate_input_missing_parameters_chat_completions[url-url-missing_required_parameter-Missing required parameter: url] PASSED [ 56%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_validate_input_missing_parameters_chat_completions[body-body-missing_required_parameter-Missing required parameter: body] PASSED [ 58%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_validate_input_missing_parameters_chat_completions[model-body.model-invalid_request-Model parameter is required] PASSED [ 60%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_validate_input_missing_parameters_chat_completions[messages-body.messages-invalid_request-Messages parameter is required] PASSED [ 63%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_validate_input_missing_parameters_completions[custom_id-custom_id-missing_required_parameter-Missing required parameter: custom_id] PASSED [ 65%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_validate_input_missing_parameters_completions[method-method-missing_required_parameter-Missing required parameter: method] PASSED [ 67%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_validate_input_missing_parameters_completions[url-url-missing_required_parameter-Missing required parameter: url] PASSED [ 69%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_validate_input_missing_parameters_completions[body-body-missing_required_parameter-Missing required parameter: body] PASSED [ 71%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_validate_input_missing_parameters_completions[model-body.model-invalid_request-Model parameter is required] PASSED [ 73%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_validate_input_missing_parameters_completions[prompt-body.prompt-invalid_request-Prompt parameter is required] PASSED [ 76%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_validate_input_url_mismatch PASSED [ 78%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_validate_input_multiple_errors_per_request PASSED [ 80%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_validate_input_invalid_request_format PASSED [ 82%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_validate_input_invalid_parameter_types[custom_id-custom_id-12345-Custom_id must be a string] PASSED [ 84%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_validate_input_invalid_parameter_types[url-url-123-URL must be a string] PASSED [ 86%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_validate_input_invalid_parameter_types[method-method-invalid_value2-Method must be a string] PASSED [ 89%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_validate_input_invalid_parameter_types[body-body-invalid_value3-Body must be a JSON dictionary object] PASSED [ 91%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_validate_input_invalid_parameter_types[model-body.model-123-Model must be a string] PASSED [ 93%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_validate_input_invalid_parameter_types[messages-body.messages-invalid messages format-Messages must be an array] PASSED [ 95%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_max_concurrent_batches PASSED [ 97%] tests/unit/providers/batches/test_reference.py::TestReferenceBatchesImpl::test_create_batch_embeddings_endpoint PASSED [100%] ``` --------- Signed-off-by: Varsha Prasad Narsing <varshaprasad96@gmail.com> Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>	2025-10-10 13:25:58 -07:00
Ashwin Bharambe	1394403360	feat(responses): implement usage tracking in streaming responses (#3771) ... Implementats usage accumulation to StreamingResponseOrchestrator. The most important part was to pass `stream_options = { "include_usage": true }` to the chat_completion call. This means I will have to record all responses tests again because request hash will change :) Test changes: - Add usage assertions to streaming and non-streaming tests - Update test recordings with actual usage data from OpenAI	2025-10-10 12:27:03 -07:00
Francisco Arceo	e7d21e1ee3	feat: Add support for Conversations in Responses API (#3743) ... # What does this PR do? This PR adds support for Conversations in Responses. <!-- If resolving an issue, uncomment and update the line below --> <!-- Closes #[issue-number] --> ## Test Plan Unit tests Integration tests <Details> <Summary>Manual testing with this script: (click to expand)</Summary> ```python from openai import OpenAI client = OpenAI() client = OpenAI(base_url="http://localhost:8321/v1/", api_key="none") def test_conversation_create(): print("Testing conversation create...") conversation = client.conversations.create( metadata={"topic": "demo"}, items=[ {"type": "message", "role": "user", "content": "Hello!"} ] ) print(f"Created: {conversation}") return conversation def test_conversation_retrieve(conv_id): print(f"Testing conversation retrieve for {conv_id}...") retrieved = client.conversations.retrieve(conv_id) print(f"Retrieved: {retrieved}") return retrieved def test_conversation_update(conv_id): print(f"Testing conversation update for {conv_id}...") updated = client.conversations.update( conv_id, metadata={"topic": "project-x"} ) print(f"Updated: {updated}") return updated def test_conversation_delete(conv_id): print(f"Testing conversation delete for {conv_id}...") deleted = client.conversations.delete(conv_id) print(f"Deleted: {deleted}") return deleted def test_conversation_items_create(conv_id): print(f"Testing conversation items create for {conv_id}...") items = client.conversations.items.create( conv_id, items=[ { "type": "message", "role": "user", "content": [{"type": "input_text", "text": "Hello!"}] }, { "type": "message", "role": "user", "content": [{"type": "input_text", "text": "How are you?"}] } ] ) print(f"Items created: {items}") return items def test_conversation_items_list(conv_id): print(f"Testing conversation items list for {conv_id}...") items = client.conversations.items.list(conv_id, limit=10) print(f"Items list: {items}") return items def test_conversation_item_retrieve(conv_id, item_id): print(f"Testing conversation item retrieve for {conv_id}/{item_id}...") item = client.conversations.items.retrieve(conversation_id=conv_id, item_id=item_id) print(f"Item retrieved: {item}") return item def test_conversation_item_delete(conv_id, item_id): print(f"Testing conversation item delete for {conv_id}/{item_id}...") deleted = client.conversations.items.delete(conversation_id=conv_id, item_id=item_id) print(f"Item deleted: {deleted}") return deleted def test_conversation_responses_create(): print("\nTesting conversation create for a responses example...") conversation = client.conversations.create() print(f"Created: {conversation}") response = client.responses.create( model="gpt-4.1", input=[{"role": "user", "content": "What are the 5 Ds of dodgeball?"}], conversation=conversation.id, ) print(f"Created response: {response} for conversation {conversation.id}") return response, conversation def test_conversations_responses_create_followup( conversation, content="Repeat what you just said but add 'this is my second time saying this'", ): print(f"Using: {conversation.id}") response = client.responses.create( model="gpt-4.1", input=[{"role": "user", "content": content}], conversation=conversation.id, ) print(f"Created response: {response} for conversation {conversation.id}") conv_items = client.conversations.items.list(conversation.id) print(f"\nRetrieving list of items for conversation {conversation.id}:") print(conv_items.model_dump_json(indent=2)) def test_response_with_fake_conv_id(): fake_conv_id = "conv_zzzzzzzzz5dc81908289d62779d2ac510a2b0b602ef00a44" print(f"Using {fake_conv_id}") try: response = client.responses.create( model="gpt-4.1", input=[{"role": "user", "content": "say hello"}], conversation=fake_conv_id, ) print(f"Created response: {response} for conversation {fake_conv_id}") except Exception as e: print(f"failed to create response for conversation {fake_conv_id} with error {e}") def main(): print("Testing OpenAI Conversations API...") # Create conversation conversation = test_conversation_create() conv_id = conversation.id # Retrieve conversation test_conversation_retrieve(conv_id) # Update conversation test_conversation_update(conv_id) # Create items items = test_conversation_items_create(conv_id) # List items items_list = test_conversation_items_list(conv_id) # Retrieve specific item if items_list.data: item_id = items_list.data[0].id test_conversation_item_retrieve(conv_id, item_id) # Delete item test_conversation_item_delete(conv_id, item_id) # Delete conversation test_conversation_delete(conv_id) response, conversation2 = test_conversation_responses_create() print('\ntesting reseponse retrieval') test_conversation_retrieve(conversation2.id) print('\ntesting responses follow up') test_conversations_responses_create_followup(conversation2) print('\ntesting responses follow up x2!') test_conversations_responses_create_followup( conversation2, content="Repeat what you just said but add 'this is my third time saying this'", ) test_response_with_fake_conv_id() print("All tests completed!") if __name__ == "__main__": main() ``` </Details> --------- Signed-off-by: Francisco Javier Arceo <farceo@redhat.com> Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>	2025-10-10 11:57:40 -07:00
Ashwin Bharambe	548ccff368	fix(mypy): fix wrong attribute access (#3770)	2025-10-10 09:30:43 -07:00
grs	8bf07f91cb	feat: reuse previous mcp tool listings where possible (#3710) ... # What does this PR do? This PR checks whether, if a previous response is linked, there are mcp_list_tools objects that can be reused instead of listing the tools explicitly every time. Closes #3106 ## Test Plan Tested manually. Added unit tests to cover new behaviour. --------- Signed-off-by: Gordon Sim <gsim@redhat.com> Co-authored-by: Ashwin Bharambe <ashwin.bharambe@gmail.com>	2025-10-10 09:28:25 -07:00
Matthew Farrellee	0066d986c5	feat: use SecretStr for inference provider auth credentials (#3724) ... # What does this PR do? use SecretStr for OpenAIMixin providers - RemoteInferenceProviderConfig now has auth_credential: SecretStr - the default alias is api_key (most common name) - some providers override to use api_token (RunPod, vLLM, Databricks) - some providers exclude it (Ollama, TGI, Vertex AI) addresses #3517 ## Test Plan ci w/ new tests	2025-10-10 07:32:50 -07:00
Ashwin Bharambe	e039b61d26	feat(responses)!: add in_progress, failed, content part events (#3765) ... ## Summary - add schema + runtime support for response.in_progress / response.failed / response.incomplete - stream content parts with proper indexes and reasoning slots - align tests + docs with the richer event payloads ## Testing - uv run pytest tests/unit/providers/agents/meta_reference/test_openai_responses.py::test_create_openai_response_with_string_input - uv run pytest tests/unit/providers/agents/meta_reference/test_response_conversion_utils.py	2025-10-10 07:27:34 -07:00
Akram Ben Aissi	a548169b99	fix: allow skipping model availability check for vLLM (#3739) ... # What does this PR do? <!-- Provide a short summary of what this PR does and why. Link to relevant issues if applicable. --> Allows model check to fail gracefully instead of crashing on startup. <!-- 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.* --> set VLLM_URL to your VLLM server ``` (base) akram@Mac llama-stack % LAMA_STACK_LOGGING="all=debug" VLLM_ENABLE_MODEL_DISCOVERY=false MILVUS_DB_PATH=./milvus.db INFERENCE_MODEL=vllm uv run --with llama-stack llama stack build --distro starter --image-type venv --run ``` ``` INFO 2025-10-08 20:11:24,637 llama_stack.providers.utils.inference.inference_store:74 inference: Write queue disabled for SQLite to avoid concurrency issues INFO 2025-10-08 20:11:24,866 llama_stack.providers.utils.responses.responses_store:96 openai_responses: Write queue disabled for SQLite to avoid concurrency issues ERROR 2025-10-08 20:11:26,160 llama_stack.providers.utils.inference.openai_mixin:439 providers::utils: VLLMInferenceAdapter.list_provider_model_ids() failed with: <a href="https://oauth.akram.a1ey.p3.openshiftapps.com:443/oauth/authorize?approval_prompt=force&amp;client_id=system%3Aserviceaccount%3Arhoai-30-genai%3Adefault&amp;redirect_uri=ht tps%3A%2F%2Fvllm-rhoai-30-genai.apps.rosa.akram.a1ey.p3.openshiftapps.com%2Foauth%2Fcallback&amp;response_type=code&amp;scope=user%3Ainfo+user%3Acheck-access&amp;state=9fba207425 5851c718aca717a5887d76%3A%2Fmodels">Found</a>. [...] INFO 2025-10-08 20:11:26,295 uvicorn.error:84 uncategorized: Started server process [83144] INFO 2025-10-08 20:11:26,296 uvicorn.error:48 uncategorized: Waiting for application startup. INFO 2025-10-08 20:11:26,297 llama_stack.core.server.server:170 core::server: Starting up INFO 2025-10-08 20:11:26,297 llama_stack.core.stack:399 core: starting registry refresh task INFO 2025-10-08 20:11:26,311 uvicorn.error:62 uncategorized: Application startup complete. INFO 2025-10-08 20:11:26,312 uvicorn.error:216 uncategorized: Uvicorn running on http://['::', '0.0.0.0']:8321 (Press CTRL+C to quit) ERROR 2025-10-08 20:11:26,791 llama_stack.providers.utils.inference.openai_mixin:439 providers::utils: VLLMInferenceAdapter.list_provider_model_ids() failed with: <a href="https://oauth.akram.a1ey.p3.openshiftapps.com:443/oauth/authorize?approval_prompt=force&amp;client_id=system%3Aserviceaccount%3Arhoai-30-genai%3Adefault&amp;redirect_uri=ht tps%3A%2F%2Fvllm-rhoai-30-genai.apps.rosa.akram.a1ey.p3.openshiftapps.com%2Foauth%2Fcallback&amp;response_type=code&amp;scope=user%3Ainfo+user%3Acheck-access&amp;state=8ef0cba3e1 71a4f8b04cb445cfb91a4c%3A%2Fmodels">Found</a>. ```	2025-10-10 07:23:13 -07:00
Ashwin Bharambe	aaf5036235	feat(responses): add usage types to inference and responses APIs (#3764) ... ## Summary Adds OpenAI-compatible usage tracking types to enable reporting token consumption for both streaming and non-streaming responses. ## Type Definitions **Chat Completion Usage** (inference API): ```python class OpenAIChatCompletionUsage(BaseModel): prompt_tokens: int completion_tokens: int total_tokens: int prompt_tokens_details: OpenAIChatCompletionUsagePromptTokensDetails | None completion_tokens_details: OpenAIChatCompletionUsageCompletionTokensDetails | None ``` **Response Usage** (responses API): ```python class OpenAIResponseUsage(BaseModel): input_tokens: int output_tokens: int total_tokens: int input_tokens_details: OpenAIResponseUsageInputTokensDetails | None output_tokens_details: OpenAIResponseUsageOutputTokensDetails | None ``` This matches OpenAI's usage reporting format and enables PR #3766 to implement usage tracking in streaming responses. Co-authored-by: Claude <noreply@anthropic.com>	2025-10-10 09:22:59 -04:00
Ashwin Bharambe	ebae0385bb	fix: update dangling references to llama download command (#3763) ... ## Summary After removing model management CLI in #3700, this PR updates remaining references to the old `llama download` command to use `huggingface-cli download` instead. ## Changes - Updated error messages in `meta_reference/common.py` to recommend `huggingface-cli download` - Updated error messages in `torchtune/recipes/lora_finetuning_single_device.py` to use `huggingface-cli download` - Updated post-training notebook to use `huggingface-cli download` instead of `llama download` - Fixed typo: "you model" -> "your model" ## Test Plan - Verified error messages provide correct guidance for users - Checked that notebook instructions are up-to-date with current tooling	2025-10-09 18:35:02 -07:00
Ashwin Bharambe	8fe4a216b5	fix(inference): propagate 401/403 errors from remote providers (#3762) ... ## Summary Fixes #2990 Remote provider authentication errors (401/403) were being converted to 500 Internal Server Error, preventing users from understanding why their requests failed. ## The Problem When a request with an invalid API key was sent to a remote provider: - Provider correctly returns 401 with error details - Llama Stack's `translate_exception()` didn't recognize provider SDK exceptions - Fell through to generic 500 error handler - User received: "Internal server error: An unexpected error occurred." ## The Fix Added handler in `translate_exception()` that checks for exceptions with a `status_code` attribute and preserves the original HTTP status code and error message. **Before:** ```json HTTP 500 {"detail": "Internal server error: An unexpected error occurred."} ``` **After:** ```json HTTP 401 {"detail": "Error code: 401 - {'error': {'message': 'Invalid API Key', 'type': 'invalid_request_error', 'code': 'invalid_api_key'}}"} ``` ## Tested With - ✅ groq: 401 "Invalid API Key" - ✅ openai: 401 "Incorrect API key provided" - ✅ together: 401 "Invalid API key provided" - ✅ fireworks: 403 "unauthorized" ## Test Plan **Automated test script:** https://gist.github.com/ashwinb/1199dd7585ffa3f4be67b111cc65f2f3 The test script: 1. Builds separate stacks for each provider 2. Registers models (with validation temporarily disabled for testing) 3. Sends requests with invalid API keys via `x-llamastack-provider-data` header 4. Verifies HTTP status codes are 401/403 (not 500) **Results before fix:** All providers returned 500 **Results after fix:** All providers correctly return 401/403 **Manual verification:** ```bash # 1. Build stack llama stack build --image-type venv --providers inference=remote::groq # 2. Start stack llama stack run # 3. Send request with invalid API key curl http://localhost:8321/v1/chat/completions \ -H "Content-Type: application/json" \ -H 'x-llamastack-provider-data: {"groq_api_key": "invalid-key"}' \ -d '{"model": "groq/llama3-70b-8192", "messages": [{"role": "user", "content": "test"}]}' # Expected: HTTP 401 with provider error message (not 500) ``` ## Impact - Works with all remote providers using OpenAI SDK (groq, openai, together, fireworks, etc.) - Works with any provider SDK that follows the pattern of exceptions with `status_code` attribute - No breaking changes - only affects error responses	2025-10-09 18:34:39 -07:00
Matthew Farrellee	145b2bcf25	feat: make object registration idempotent (#3752) ... # What does this PR do? objects (vector dbs, models, scoring functions, etc) have an identifier and associated object values. we allow exact duplicate registrations. we reject registrations when the identifier exists and the associated object values differ. note: model are namespaced, i.e. {provider_id}/{identifier}, while other object types are not ## Test Plan ci w/ new tests	2025-10-09 17:04:28 -07:00
Sébastien Han	7ee0ee7843	chore!: remove model mgmt from CLI for Hugging Face CLI (#3700) ... This change removes the `llama model` and `llama download` subcommands from the CLI, replacing them with recommendations to use the Hugging Face CLI instead. Rationale for this change: - The model management functionality was largely duplicating what Hugging Face CLI already provides, leading to unnecessary maintenance overhead (except the download source from Meta?) - Maintaining our own implementation required fixing bugs and keeping up with changes in model repositories and download mechanisms - The Hugging Face CLI is more mature, widely adopted, and better maintained - This allows us to focus on the core Llama Stack functionality rather than reimplementing model management tools Changes made: - Removed all model-related CLI commands and their implementations - Updated documentation to recommend using `huggingface-cli` for model downloads - Removed Meta-specific download logic and statements - Simplified the CLI to focus solely on stack management operations Users should now use: - `huggingface-cli download` for downloading models - `huggingface-cli scan-cache` for listing downloaded models This is a breaking change as it removes previously available CLI commands. Signed-off-by: Sébastien Han <seb@redhat.com>	2025-10-09 16:50:33 -07:00