Matthew Farrellee bf63470c22 feat: implement dynamic model detection support for inference providers using litellm ... This enhancement allows inference providers using LiteLLMOpenAIMixin to validate model availability against LiteLLM's official provider model listings, improving reliability and user experience when working with different AI service providers. - Add litellm_provider_name parameter to LiteLLMOpenAIMixin constructor - Add check_model_availability method to LiteLLMOpenAIMixin using litellm.models_by_provider - Update Gemini, Groq, and SambaNova inference adapters to pass litellm_provider_name		2025-07-24 09:49:32 -04:00
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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	fix: allow default empty vars for conditionals (#2570)	2025-07-01 14:42:05 +02:00
eval	refactor(env)!: enhanced environment variable substitution (#2490)	2025-06-26 08:20:08 +05:30
inference	feat: implement dynamic model detection support for inference providers using litellm	2025-07-24 09:49:32 -04:00
post_training	fix: allow default empty vars for conditionals (#2570)	2025-07-01 14:42:05 +02:00
safety	fix: sambanova shields and model validation (#2693)	2025-07-11 16:29:15 -04:00
tool_runtime	fix: allow default empty vars for conditionals (#2570)	2025-07-01 14:42:05 +02:00
vector_io	chore: Added openai compatible vector io endpoints for chromadb (#2489)	2025-07-23 13:51:58 -07:00
__init__.py	impls -> inline, adapters -> remote (#381)	2024-11-06 14:54:05 -08:00