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llama-stack-mirror/llama_stack/core/routers
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skamenan7 e411099cbf Replace MissingEmbeddingModelError with IBM Granite default 
- Replace error with ibm-granite/granite-embedding-125m-english default
- Based on issue #2418 for commercial compatibility and better UX
- Update tests to verify default fallback behavior
- Update documentation to reflect new precedence rules
- Remove unused MissingEmbeddingModelError class
- Update tip section to clarify fallback behavior

Resolves review comment to use default instead of error.
2025-09-18 10:11:44 -04:00
..
__init__.py chore: introduce write queue for inference_store (#3383) 2025-09-10 11:57:42 -07:00
datasets.py refactor(logging): rename llama_stack logger categories (#3065) 2025-08-21 17:31:04 -07:00
eval_scoring.py refactor(logging): rename llama_stack logger categories (#3065) 2025-08-21 17:31:04 -07:00
inference.py chore: introduce write queue for inference_store (#3383) 2025-09-10 11:57:42 -07:00
safety.py refactor(logging): rename llama_stack logger categories (#3065) 2025-08-21 17:31:04 -07:00
tool_runtime.py refactor(logging): rename llama_stack logger categories (#3065) 2025-08-21 17:31:04 -07:00
vector_io.py Replace MissingEmbeddingModelError with IBM Granite default 2025-09-18 10:11:44 -04:00