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	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(vllm): periodically refresh models (#2823)	2025-07-18 15:53:09 -07:00
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	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
__init__.py	impls -> inline, adapters -> remote (#381)	2024-11-06 14:54:05 -08:00