ehhuang c392f3a0f4 chore: remove extra logging (#3574) ... # What does this PR do? This is already logged by console processor as INFO <img width="1093" height="280" alt="image" src="https://github.com/user-attachments/assets/780b0ac2-6744-49d7-b1d4-b7204050a6dc" /> ## Test Plan		2025-09-27 11:22:54 -07:00
..
agents	fix: ensure assistant message is followed by tool call message as expected by openai (#3224)	2025-08-22 10:42:03 -07:00
batches	feat(batches, completions): add /v1/completions support to /v1/batches (#3309)	2025-09-05 11:59:57 -07:00
datasetio	chore(misc): make tests and starter faster (#3042)	2025-08-05 14:55:05 -07:00
eval	feat: create HTTP DELETE API endpoints to unregister ScoringFn and Benchmark resources in Llama Stack (#3371)	2025-09-15 12:43:38 -07:00
files/localfs	chore: simplify authorized sqlstore (#3496)	2025-09-19 16:13:56 -07:00
inference	chore(api): remove batch inference (#3261)	2025-09-26 14:35:34 -07:00
ios/inference	chore: removed executorch submodule (#1265)	2025-02-25 21:57:21 -08:00
post_training	chore(pre-commit): add pre-commit hook to enforce llama_stack logger usage (#3061)	2025-08-20 07:15:35 -04:00
safety	chore(pre-commit): add pre-commit hook to enforce llama_stack logger usage (#3061)	2025-08-20 07:15:35 -04:00
scoring	feat: create HTTP DELETE API endpoints to unregister ScoringFn and Benchmark resources in Llama Stack (#3371)	2025-09-15 12:43:38 -07:00
telemetry	chore: remove extra logging (#3574)	2025-09-27 11:22:54 -07:00
tool_runtime	chore: Updating documentation, adding exception handling for Vector Stores in RAG Tool, more tests on migration, and migrate off of inference_api for context_retriever for RAG (#3367)	2025-09-11 14:20:11 +02:00
vector_io	refactor: use generic WeightedInMemoryAggregator for hybrid search in SQLiteVecIndex (#3303)	2025-09-02 10:38:35 -07:00
__init__.py	impls -> inline, adapters -> remote (#381)	2024-11-06 14:54:05 -08:00