jperezde a0c0e5933a feat: Add new embedding model "models/gemini-embedding-001" to GeminiInferenceAdapter ... Introduced a new embedding model with a dimension of 3072 and a context length of 2048 to the GeminiInferenceAdapter class.		2025-10-15 17:16:59 +02:00
..
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	feat(tests): make inference_recorder into api_recorder (include tool_invoke) (#3403)	2025-10-09 14:27:51 -07:00
inference	feat: Add new embedding model "models/gemini-embedding-001" to GeminiInferenceAdapter	2025-10-15 17:16:59 +02:00
post_training	fix: remove inference.completion from docs (#3589)	2025-09-29 13:14:41 -07:00
safety	chore!: Safety api refactoring to use OpenAIMessageParam (#3796)	2025-10-12 08:01:00 -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: Enable setting a default embedding model in the stack (#3803)	2025-10-14 18:25:13 -07:00
__init__.py	impls -> inline, adapters -> remote (#381)	2024-11-06 14:54:05 -08:00