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# What does this PR do? This PR adds Open AI Compatible moderations api. Currently only implementing for llama guard safety provider Image support, expand to other safety providers and Deprecation of run_shield will be next steps. ## Test Plan Added 2 new tests for safe/ unsafe text prompt examples for the new open ai compatible moderations api usage `SAFETY_MODEL=llama-guard3:8b LLAMA_STACK_CONFIG=starter uv run pytest -v tests/integration/safety/test_safety.py --text-model=llama3.2:3b-instruct-fp16 --embedding-model=all-MiniLM-L6-v2 --safety-shield=ollama` (Had some issue with previous PR https://github.com/meta-llama/llama-stack/pull/2994 while updating and accidentally close it , reopened new one ) |
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_static | ||
notebooks | ||
openapi_generator | ||
resources | ||
source | ||
zero_to_hero_guide | ||
conftest.py | ||
contbuild.sh | ||
dog.jpg | ||
getting_started.ipynb | ||
getting_started_llama4.ipynb | ||
getting_started_llama_api.ipynb | ||
license_header.txt | ||
make.bat | ||
Makefile | ||
original_rfc.md | ||
quick_start.ipynb | ||
README.md |
Llama Stack Documentation
Here's a collection of comprehensive guides, examples, and resources for building AI applications with Llama Stack. For the complete documentation, visit our ReadTheDocs page.
Render locally
From the llama-stack root directory, run the following command to render the docs locally:
uv run --group docs sphinx-autobuild docs/source docs/build/html --write-all
You can open up the docs in your browser at http://localhost:8000
Content
Try out Llama Stack's capabilities through our detailed Jupyter notebooks:
- Building AI Applications Notebook - A comprehensive guide to building production-ready AI applications using Llama Stack
- Benchmark Evaluations Notebook - Detailed performance evaluations and benchmarking results
- Zero-to-Hero Guide - Step-by-step guide for getting started with Llama Stack