llama-stack-mirror/llama_stack/apis/common
skamenan7 f9afad99f8 docs: update configuration documentation for global default embedding model
- Clarified the optional nature of the default_embedding_dimension in the YAML configuration, specifying that it defaults to 384 if omitted.
- Added a note in the VectorStoreConfig class to indicate that the router will fall back to 384 as the default dimension if not set.
2025-09-18 10:11:44 -04:00
..
__init__.py API Updates (#73) 2024-09-17 19:51:35 -07:00
content_types.py docs: Add detailed docstrings to API models and update OpenAPI spec (#2889) 2025-07-30 16:32:59 -07:00
errors.py feat: Add Kubernetes auth provider to use SelfSubjectReview and kubernetes api server (#2559) 2025-09-08 11:25:10 +02:00
job_types.py docs: Add detailed docstrings to API models and update OpenAPI spec (#2889) 2025-07-30 16:32:59 -07:00
responses.py docs: Add detailed docstrings to API models and update OpenAPI spec (#2889) 2025-07-30 16:32:59 -07:00
training_types.py docs: Add detailed docstrings to API models and update OpenAPI spec (#2889) 2025-07-30 16:32:59 -07:00
type_system.py docs: Add detailed docstrings to API models and update OpenAPI spec (#2889) 2025-07-30 16:32:59 -07:00
vector_store_config.py docs: update configuration documentation for global default embedding model 2025-09-18 10:11:44 -04:00