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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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| .. | ||
| advanced_apis | ||
| apis | ||
| building_applications | ||
| concepts | ||
| contributing | ||
| deploying | ||
| distributions | ||
| getting_started | ||
| providers | ||
| references | ||
| conf.py | ||
| index.md | ||