Akram Ben Aissi 2b54b57145 feat: implement graceful model discovery for vLLM provider ... - Attempt model discovery first for backward compatibility - If discovery fails and refresh_models=false, continue without error - If discovery fails and refresh_models=true, fail hard with ValueError - Supports dynamic token authentication scenarios Fixes OAuth authentication issues when vLLM service requires dynamic tokens		2025-10-03 21:32:15 +02:00
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agents	test: add unit test to ensure all config types are instantiable (#1601)	2025-03-12 22:29:58 -07:00
datasetio	chore(misc): make tests and starter faster (#3042)	2025-08-05 14:55:05 -07:00
eval	feat: add static embedding metadata to dynamic model listings for providers using OpenAIMixin (#3547)	2025-09-25 17:17:00 -04:00
files/s3	fix(expires_after): make sure multipart/form-data is properly parsed (#3612)	2025-09-30 16:14:03 -04:00
inference	feat: implement graceful model discovery for vLLM provider	2025-10-03 21:32:15 +02:00
post_training	fix: remove inference.completion from docs (#3589)	2025-09-29 13:14:41 -07:00
safety	refactor(logging): rename llama_stack logger categories (#3065)	2025-08-21 17:31:04 -07:00
tool_runtime	feat(tools)!: substantial clean up of "Tool" related datatypes (#3627)	2025-10-02 15:12:03 -07:00
vector_io	feat: implement keyword and hybrid search for Weaviate provider (#3264)	2025-10-03 10:22:30 +02:00
__init__.py	impls -> inline, adapters -> remote (#381)	2024-11-06 14:54:05 -08:00