llama-stack-mirror/llama_stack/providers
2025-07-21 17:04:18 -04:00
..
inline feat(vector-io): configurable embedding models for all providers (v2)\n\nAdds embedding_model and embedding_dimension fields to all VectorIOConfig classes.\nRouter respects provider defaults with fallback.\nIntroduces embedding_utils helper.\nComprehensive docs & samples.\nResolves #2729 2025-07-21 17:04:18 -04:00
registry chore: kill inline::vllm (#2824) 2025-07-18 15:52:18 -07:00
remote feat(vector-io): configurable embedding models for all providers (v2)\n\nAdds embedding_model and embedding_dimension fields to all VectorIOConfig classes.\nRouter respects provider defaults with fallback.\nIntroduces embedding_utils helper.\nComprehensive docs & samples.\nResolves #2729 2025-07-21 17:04:18 -04:00
utils feat(vector-io): configurable embedding models for all providers (v2)\n\nAdds embedding_model and embedding_dimension fields to all VectorIOConfig classes.\nRouter respects provider defaults with fallback.\nIntroduces embedding_utils helper.\nComprehensive docs & samples.\nResolves #2729 2025-07-21 17:04:18 -04:00
__init__.py API Updates (#73) 2024-09-17 19:51:35 -07:00
datatypes.py docs: auto generated documentation for providers (#2543) 2025-06-30 15:13:20 +02:00