skamenan7 d55dd3e9a0 feat(vector-io): configurable embedding models for all providers (v2)\n\nAdds embedding_model and embedding_dimension fields to all VectorIOConfig classes.\nRouter respects provider defaults with fallback.\nIntroduces embedding_utils helper.\nComprehensive docs & samples.\nResolves #2729		2025-07-21 17:04:18 -04:00
..
agents	fix: store configs (#2593)	2025-07-03 10:07:23 -07:00
datasetio	fix: store configs (#2593)	2025-07-03 10:07:23 -07:00
eval	fix: store configs (#2593)	2025-07-03 10:07:23 -07:00
files	docs: auto generated documentation for providers (#2543)	2025-06-30 15:13:20 +02:00
inference	feat(vllm): periodically refresh models (#2823)	2025-07-18 15:53:09 -07:00
post_training	docs: Reorganize documentation on the webpage (#2651)	2025-07-15 14:19:35 -07:00
safety	docs: auto generated documentation for providers (#2543)	2025-06-30 15:13:20 +02:00
scoring	fix: allow default empty vars for conditionals (#2570)	2025-07-01 14:42:05 +02:00
telemetry	feat: improve telemetry (#2590)	2025-07-04 17:29:09 +02:00
tool_runtime	fix: allow default empty vars for conditionals (#2570)	2025-07-01 14:42:05 +02:00
vector_io	feat(vector-io): configurable embedding models for all providers (v2)\n\nAdds embedding_model and embedding_dimension fields to all VectorIOConfig classes.\nRouter respects provider defaults with fallback.\nIntroduces embedding_utils helper.\nComprehensive docs & samples.\nResolves #2729	2025-07-21 17:04:18 -04:00
external.md	docs: update external provider guide and navigation (#2567)	2025-07-01 09:42:32 +02:00
index.md	docs: Reorganize documentation on the webpage (#2651)	2025-07-15 14:19:35 -07:00
openai.md	docs: Reorganize documentation on the webpage (#2651)	2025-07-15 14:19:35 -07:00