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Merge branch 'main' into enable-vector-stores-files-api-tests

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Francisco Arceo 2025-07-30 20:32:48 -04:00 • committed by GitHub
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40 changed files with 4156 additions and 846 deletions
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11
llama_stack/providers/remote/vector_io/milvus/milvus.py
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@ -12,6 +12,7 @@ from typing import Any
from numpy.typing import NDArray
from pymilvus import DataType, Function, FunctionType, MilvusClient
from llama_stack.apis.common.errors import VectorStoreNotFoundError
from llama_stack.apis.files.files import Files
from llama_stack.apis.inference import Inference, InterleavedContent
from llama_stack.apis.vector_dbs import VectorDB
@ -321,11 +322,11 @@ class MilvusVectorIOAdapter(OpenAIVectorStoreMixin, VectorIO, VectorDBsProtocolP
return self.cache[vector_db_id]
if self.vector_db_store is None:
raise ValueError(f"Vector DB {vector_db_id} not found")
raise VectorStoreNotFoundError(vector_db_id)
vector_db = await self.vector_db_store.get_vector_db(vector_db_id)
if not vector_db:
raise ValueError(f"Vector DB {vector_db_id} not found")
raise VectorStoreNotFoundError(vector_db_id)
index = VectorDBWithIndex(
vector_db=vector_db,
@ -348,7 +349,7 @@ class MilvusVectorIOAdapter(OpenAIVectorStoreMixin, VectorIO, VectorDBsProtocolP
) -> None:
index = await self._get_and_cache_vector_db_index(vector_db_id)
if not index:
raise ValueError(f"Vector DB {vector_db_id} not found")
raise VectorStoreNotFoundError(vector_db_id)
await index.insert_chunks(chunks)
@ -360,7 +361,7 @@ class MilvusVectorIOAdapter(OpenAIVectorStoreMixin, VectorIO, VectorDBsProtocolP
) -> QueryChunksResponse:
index = await self._get_and_cache_vector_db_index(vector_db_id)
if not index:
raise ValueError(f"Vector DB {vector_db_id} not found")
raise VectorStoreNotFoundError(vector_db_id)
if params and params.get("mode") == "keyword":
# Check if this is inline Milvus (Milvus-Lite)
@ -376,7 +377,7 @@ class MilvusVectorIOAdapter(OpenAIVectorStoreMixin, VectorIO, VectorDBsProtocolP
"""Delete a chunk from a milvus vector store."""
index = await self._get_and_cache_vector_db_index(store_id)
if not index:
raise ValueError(f"Vector DB {store_id} not found")
raise VectorStoreNotFoundError(store_id)
for chunk_id in chunk_ids:
# Use the index's delete_chunk method