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chore: Updating Milvus to use OpenAIVectorStoreMixin
docs: Add recent releases to CHANGELOG.md (#2533) <!-- Provide a short summary of what this PR does and why. Link to relevant issues if applicable. --> Update changelog. --------- Signed-off-by: Yuan Tang <terrytangyuan@gmail.com> build: update temp. created Containerfile (#2492) <!-- Provide a short summary of what this PR does and why. Link to relevant issues if applicable. --> - conditionally created folder /.llama/providers.d if external_providers_dir is set - do not create /.cache folder, not in use anywhere - combine chmod and copy to one command <!-- If resolving an issue, uncomment and update the line below --> <!-- Closes #[issue-number] --> <!-- Describe the tests you ran to verify your changes with result summaries. *Provide clear instructions so the plan can be easily re-executed.* --> updated test: ``` export CONTAINER_BINARY=podman LLAMA_STACK_DIR=. uv run llama stack build --template remote-vllm --image-type container --image-name <name> ``` log: ``` Containerfile created successfully in /tmp/tmp.rPMunE39Aw/Containerfile FROM python:3.11-slim WORKDIR /app RUN apt-get update && apt-get install -y iputils-ping net-tools iproute2 dnsutils telnet curl wget telnet git procps psmisc lsof traceroute bubblewrap gcc && rm -rf /var/lib/apt/lists/* ENV UV_SYSTEM_PYTHON=1 RUN pip install uv RUN uv pip install --no-cache sentencepiece pillow pypdf transformers pythainlp faiss-cpu opentelemetry-sdk requests datasets chardet scipy nltk numpy matplotlib psycopg2-binary aiosqlite langdetect autoevals tree_sitter tqdm pandas chromadb-client opentelemetry-exporter-otlp-proto-http redis scikit-learn openai pymongo emoji sqlalchemy[asyncio] mcp aiosqlite fastapi fire httpx uvicorn opentelemetry-sdk opentelemetry-exporter-otlp-proto-http RUN uv pip install --no-cache sentence-transformers --no-deps RUN uv pip install --no-cache torch torchvision --index-url https://download.pytorch.org/whl/cpu RUN mkdir -p /.llama/providers.d /.cache RUN uv pip install --no-cache llama-stack RUN pip uninstall -y uv ENTRYPOINT ["python", "-m", "llama_stack.distribution.server.server", "--template", "remote-vllm"] RUN chmod -R g+rw /app /.llama /.cache PWD: /tmp/llama-stack Containerfile: /tmp/tmp.rPMunE39Aw/Containerfile + podman build --progress=plain --security-opt label=disable --platform linux/amd64 -t distribution-remote-vllm:0.2.12 -f /tmp/tmp.rPMunE39Aw/Containerfile /tmp/llama-stack .... Success! Build Successful! You can find the newly-built template here: /tmp/llama-stack/llama_stack/templates/remote-vllm/run.yaml You can run the new Llama Stack distro via: llama stack run /tmp/llama-stack/llama_stack/templates/remote-vllm/run.yaml --image-type container ``` ``` podman tag localhost/distribution-remote-vllm:dev quay.io/wenzhou/distribution-remote-vllm:2492_2 podman push quay.io/wenzhou/distribution-remote-vllm:2492_2 docker run --rm -p 8321:8321 -e INFERENCE_MODEL="meta-llama/Llama-2-7b-chat-hf" -e VLLM_URL="http://localhost:8000/v1" quay.io/wenzhou/distribution-remote-vllm:2492_2 --port 8321 INFO 2025-06-26 13:47:31,813 __main__:436 server: Using template remote-vllm config file: /app/llama-stack-source/llama_stack/templates/remote-vllm/run.yaml INFO 2025-06-26 13:47:31,818 __main__:438 server: Run configuration: INFO 2025-06-26 13:47:31,826 __main__:440 server: apis: - agents - datasetio - eval - inference - safety - scoring - telemetry - tool_runtime - vector_io benchmarks: [] container_image: null .... ``` ----- previous test: local run` >llama stack build --template remote-vllm --image-type container` image stored in `quay.io/wenzhou/distribution-remote-vllm:2492` --------- Signed-off-by: Wen Zhou <wenzhou@redhat.com> fix(security): Upgrade urllib3 to v2.5.0. Fixes CVE-2025-50181 and CVE-2025-50182 (#2534) This fixes CVE-2025-50181 and CVE-2025-50182. Changes via: ``` uv sync --upgrade-package urllib3 uv export --frozen --no-hashes --no-emit-project --no-default-groups --output-file=requirements.txt ``` Signed-off-by: Yuan Tang <terrytangyuan@gmail.com> fix: dataset metadata without provider_id (#2527) Fixes an error when inferring dataset provider_id with metadata Closes #[2506](https://github.com/meta-llama/llama-stack/issues/2506) Signed-off-by: Juanma Barea <juanmabareamartinez@gmail.com> fix(security): Upgrade protobuf and aiohttp. Fixes CVE-2025-4565 (#2541) Fixes CVE-2025-4565 and the following warning: ``` warning: `aiohttp==3.11.13` is yanked (reason: "Regression: https://github.com/aio-libs/aiohttp/issues/10617") ``` Signed-off-by: Yuan Tang <terrytangyuan@gmail.com> adding milvus prefix Signed-off-by: Francisco Javier Arceo <farceo@redhat.com> updating CI Signed-off-by: Francisco Javier Arceo <farceo@redhat.com> removing CI tests for now Signed-off-by: Francisco Javier Arceo <farceo@redhat.com> think I got the config correct for CI Signed-off-by: Francisco Javier Arceo <farceo@redhat.com> updated build and run files Signed-off-by: Francisco Javier Arceo <farceo@redhat.com> adding marshmallow constraint Signed-off-by: Francisco Javier Arceo <farceo@redhat.com> removing CI changes Signed-off-by: Francisco Javier Arceo <farceo@redhat.com> Update starter.py updated starter Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
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# Changelog
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# v0.2.12
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Published on: 2025-06-20T22:52:12Z
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## Highlights
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* Filter support in file search
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* Support auth attributes in inference and response stores
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# v0.2.11
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Published on: 2025-06-17T20:26:26Z
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## Highlights
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* OpenAI-compatible vector store APIs
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* Hybrid Search in Sqlite-vec
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* File search tool in Responses API
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* Pagination in inference and response stores
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* Added `suffix` to completions API for fill-in-the-middle tasks
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# v0.2.10.1
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Published on: 2025-06-06T20:11:02Z
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@ -481,51 +504,4 @@ Published on: 2024-11-23T17:14:07Z
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---
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# v0.0.54
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Published on: 2024-11-22T00:36:09Z
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# v0.0.53
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Published on: 2024-11-20T22:18:00Z
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🚀 Initial Release Notes for Llama Stack!
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### Added
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- Resource-oriented design for models, shields, memory banks, datasets and eval tasks
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- Persistence for registered objects with distribution
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- Ability to persist memory banks created for FAISS
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- PostgreSQL KVStore implementation
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- Environment variable placeholder support in run.yaml files
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- Comprehensive Zero-to-Hero notebooks and quickstart guides
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- Support for quantized models in Ollama
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- Vision models support for Together, Fireworks, Meta-Reference, and Ollama, and vLLM
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- Bedrock distribution with safety shields support
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- Evals API with task registration and scoring functions
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- MMLU and SimpleQA benchmark scoring functions
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- Huggingface dataset provider integration for benchmarks
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- Support for custom dataset registration from local paths
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- Benchmark evaluation CLI tools with visualization tables
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- RAG evaluation scoring functions and metrics
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- Local persistence for datasets and eval tasks
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### Changed
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- Split safety into distinct providers (llama-guard, prompt-guard, code-scanner)
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- Changed provider naming convention (`impls` → `inline`, `adapters` → `remote`)
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- Updated API signatures for dataset and eval task registration
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- Restructured folder organization for providers
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- Enhanced Docker build configuration
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- Added version prefixing for REST API routes
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- Enhanced evaluation task registration workflow
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- Improved benchmark evaluation output formatting
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- Restructured evals folder organization for better modularity
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### Removed
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- `llama stack configure` command
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---
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