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vector store name should be mandatory

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This commit is contained in:
Hardik Shah 2025-06-11 15:28:24 -07:00
parent cf4bac1149
commit 3a8adf0c39
8 changed files with 11 additions and 6 deletions
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3
docs/_static/llama-stack-spec.html vendored
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@ -12583,6 +12583,9 @@
} }
}, },
"additionalProperties": false, "additionalProperties": false,
"required": [
"name"
],
"title": "OpenaiCreateVectorStoreRequest" "title": "OpenaiCreateVectorStoreRequest"
}, },
"VectorStoreObject": { "VectorStoreObject": {

2
docs/_static/llama-stack-spec.yaml vendored
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@ -8791,6 +8791,8 @@ components:
description: >- description: >-
The provider-specific vector database ID. The provider-specific vector database ID.
additionalProperties: false additionalProperties: false
required:
- name
title: OpenaiCreateVectorStoreRequest title: OpenaiCreateVectorStoreRequest
VectorStoreObject: VectorStoreObject:
type: object type: object

2
llama_stack/apis/vector_io/vector_io.py
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@ -165,7 +165,7 @@ class VectorIO(Protocol):
@webmethod(route="/openai/v1/vector_stores", method="POST") @webmethod(route="/openai/v1/vector_stores", method="POST")
async def openai_create_vector_store( async def openai_create_vector_store(
self, self,
name: str | None = None, name: str,
file_ids: list[str] | None = None, file_ids: list[str] | None = None,
expires_after: dict[str, Any] | None = None, expires_after: dict[str, Any] | None = None,
chunking_strategy: dict[str, Any] | None = None, chunking_strategy: dict[str, Any] | None = None,

2
llama_stack/distribution/routers/vector_io.py
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@ -108,7 +108,7 @@ class VectorIORouter(VectorIO):
# OpenAI Vector Stores API endpoints # OpenAI Vector Stores API endpoints
async def openai_create_vector_store( async def openai_create_vector_store(
self, self,
name: str | None = None, name: str,
file_ids: list[str] | None = None, file_ids: list[str] | None = None,
expires_after: dict[str, Any] | None = None, expires_after: dict[str, Any] | None = None,
chunking_strategy: dict[str, Any] | None = None, chunking_strategy: dict[str, Any] | None = None,

2
llama_stack/providers/remote/vector_io/chroma/chroma.py
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@ -189,7 +189,7 @@ class ChromaVectorIOAdapter(VectorIO, VectorDBsProtocolPrivate):
async def openai_create_vector_store( async def openai_create_vector_store(
self, self,
name: str | None = None, name: str,
file_ids: list[str] | None = None, file_ids: list[str] | None = None,
expires_after: dict[str, Any] | None = None, expires_after: dict[str, Any] | None = None,
chunking_strategy: dict[str, Any] | None = None, chunking_strategy: dict[str, Any] | None = None,

2
llama_stack/providers/remote/vector_io/milvus/milvus.py
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@ -187,7 +187,7 @@ class MilvusVectorIOAdapter(VectorIO, VectorDBsProtocolPrivate):
async def openai_create_vector_store( async def openai_create_vector_store(
self, self,
name: str | None = None, name: str,
file_ids: list[str] | None = None, file_ids: list[str] | None = None,
expires_after: dict[str, Any] | None = None, expires_after: dict[str, Any] | None = None,
chunking_strategy: dict[str, Any] | None = None, chunking_strategy: dict[str, Any] | None = None,

2
llama_stack/providers/remote/vector_io/qdrant/qdrant.py
View file

@ -189,7 +189,7 @@ class QdrantVectorIOAdapter(VectorIO, VectorDBsProtocolPrivate):
async def openai_create_vector_store( async def openai_create_vector_store(
self, self,
name: str | None = None, name: str,
file_ids: list[str] | None = None, file_ids: list[str] | None = None,
expires_after: dict[str, Any] | None = None, expires_after: dict[str, Any] | None = None,
chunking_strategy: dict[str, Any] | None = None, chunking_strategy: dict[str, Any] | None = None,

2
llama_stack/providers/utils/memory/openai_vector_store_mixin.py
View file

@ -74,7 +74,7 @@ class OpenAIVectorStoreMixin(ABC):
async def openai_create_vector_store( async def openai_create_vector_store(
self, self,
name: str | None = None, name: str,
file_ids: list[str] | None = None, file_ids: list[str] | None = None,
expires_after: dict[str, Any] | None = None, expires_after: dict[str, Any] | None = None,
chunking_strategy: dict[str, Any] | None = None, chunking_strategy: dict[str, Any] | None = None,