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Update API docs

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This commit is contained in:
Sai Soundararaj 2025-07-02 11:34:34 -07:00
parent 4d0d2d685f
commit 8f96b61c43
26 changed files with 1397 additions and 32 deletions
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20
llama_stack/apis/vector_dbs/vector_dbs.py
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@ -15,6 +15,13 @@ from llama_stack.schema_utils import json_schema_type, webmethod
@json_schema_type
class VectorDB(Resource):
"""Vector database resource for storing and querying vector embeddings.
:param type: Type of resource, always 'vector_db' for vector databases
:param embedding_model: Name of the embedding model to use for vector generation
:param embedding_dimension: Dimension of the embedding vectors
"""
type: Literal[ResourceType.vector_db] = ResourceType.vector_db
embedding_model: str
@ -30,6 +37,14 @@ class VectorDB(Resource):
class VectorDBInput(BaseModel):
"""Input parameters for creating or configuring a vector database.
:param vector_db_id: Unique identifier for the vector database
:param embedding_model: Name of the embedding model to use for vector generation
:param embedding_dimension: Dimension of the embedding vectors
:param provider_vector_db_id: (Optional) Provider-specific identifier for the vector database
"""
vector_db_id: str
embedding_model: str
embedding_dimension: int
@ -37,6 +52,11 @@ class VectorDBInput(BaseModel):
class ListVectorDBsResponse(BaseModel):
"""Response from listing vector databases.
:param data: List of vector databases
"""
data: list[VectorDB]