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17fbd21c0d
- Add VectorStoreConfig with global default_embedding_model and default_embedding_dimension - Support environment variables LLAMA_STACK_DEFAULT_EMBEDDING_MODEL and LLAMA_STACK_DEFAULT_EMBEDDING_DIMENSION - Implement precedence: explicit model > global default > clear error (no fallback) - Update VectorIORouter with _resolve_embedding_model() precedence logic - Remove non-deterministic 'first model in run.yaml' fallback behavior - Add vector_store_config to StackRunConfig and all distribution templates - Include comprehensive unit tests for config loading and router precedence - Update documentation with configuration examples and usage patterns - Fix error messages to include 'Failed to' prefix per coding standards Resolves deterministic vector store creation by eliminating unpredictable fallbacks and providing clear configuration options at the stack level. |
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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 Github 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