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chore(tests): fix responses and vector_io tests (#3119)

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Some fixes to MCP tests. And a bunch of fixes for Vector providers.

I also enabled a bunch of Vector IO tests to be used with
`LlamaStackLibraryClient`

## Test Plan

Run Responses tests with llama stack library client:
```
pytest -s -v tests/integration/non_ci/responses/ --stack-config=server:starter \
   --text-model openai/gpt-4o \
  --embedding-model=sentence-transformers/all-MiniLM-L6-v2 \
  -k "client_with_models"
```

Do the same with `-k openai_client`

The rest should be taken care of by CI.
This commit is contained in:
Ashwin Bharambe 2025-08-12 16:15:53 -07:00 • committed by GitHub
parent 1721aafc1f
commit 3d90117891
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25 changed files with 175 additions and 112 deletions
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11
llama_stack/providers/remote/vector_io/weaviate/weaviate.py
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@ -26,6 +26,7 @@ from llama_stack.providers.utils.memory.openai_vector_store_mixin import (
OpenAIVectorStoreMixin,
)
from llama_stack.providers.utils.memory.vector_store import (
ChunkForDeletion,
EmbeddingIndex,
VectorDBWithIndex,
)
@ -67,6 +68,7 @@ class WeaviateIndex(EmbeddingIndex):
data_objects.append(
wvc.data.DataObject(
properties={
"chunk_id": chunk.chunk_id,
"chunk_content": chunk.model_dump_json(),
},
vector=embeddings[i].tolist(),
@ -79,10 +81,11 @@ class WeaviateIndex(EmbeddingIndex):
# TODO: make this async friendly
collection.data.insert_many(data_objects)
async def delete_chunk(self, chunk_id: str) -> None:
async def delete_chunks(self, chunks_for_deletion: list[ChunkForDeletion]) -> None:
sanitized_collection_name = sanitize_collection_name(self.collection_name, weaviate_format=True)
collection = self.client.collections.get(sanitized_collection_name)
collection.data.delete_many(where=Filter.by_property("id").contains_any([chunk_id]))
chunk_ids = [chunk.chunk_id for chunk in chunks_for_deletion]
collection.data.delete_many(where=Filter.by_property("chunk_id").contains_any(chunk_ids))
async def query_vector(self, embedding: NDArray, k: int, score_threshold: float) -> QueryChunksResponse:
sanitized_collection_name = sanitize_collection_name(self.collection_name, weaviate_format=True)
@ -307,10 +310,10 @@ class WeaviateVectorIOAdapter(
return await index.query_chunks(query, params)
async def delete_chunks(self, store_id: str, chunk_ids: list[str]) -> None:
async def delete_chunks(self, store_id: str, chunks_for_deletion: list[ChunkForDeletion]) -> None:
sanitized_collection_name = sanitize_collection_name(store_id, weaviate_format=True)
index = await self._get_and_cache_vector_db_index(sanitized_collection_name)
if not index:
raise ValueError(f"Vector DB {sanitized_collection_name} not found")
await index.delete(chunk_ids)
await index.index.delete_chunks(chunks_for_deletion)