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Merge remote-tracking branch 'origin/main' into stack-config-default-embed

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This commit is contained in:
Ashwin Bharambe 2025-10-20 13:29:19 -07:00
commit 31249a1a75
237 changed files with 30895 additions and 15441 deletions
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14
tests/unit/providers/vector_io/conftest.py
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@ -12,13 +12,14 @@ import pytest
from llama_stack.apis.vector_dbs import VectorDB
from llama_stack.apis.vector_io import Chunk, ChunkMetadata, QueryChunksResponse
from llama_stack.core.storage.datatypes import KVStoreReference, SqliteKVStoreConfig
from llama_stack.providers.inline.vector_io.faiss.config import FaissVectorIOConfig
from llama_stack.providers.inline.vector_io.faiss.faiss import FaissIndex, FaissVectorIOAdapter
from llama_stack.providers.inline.vector_io.sqlite_vec import SQLiteVectorIOConfig
from llama_stack.providers.inline.vector_io.sqlite_vec.sqlite_vec import SQLiteVecIndex, SQLiteVecVectorIOAdapter
from llama_stack.providers.remote.vector_io.pgvector.config import PGVectorVectorIOConfig
from llama_stack.providers.remote.vector_io.pgvector.pgvector import PGVectorIndex, PGVectorVectorIOAdapter
from llama_stack.providers.utils.kvstore.config import SqliteKVStoreConfig
from llama_stack.providers.utils.kvstore import register_kvstore_backends
EMBEDDING_DIMENSION = 768
COLLECTION_PREFIX = "test_collection"
@ -112,8 +113,9 @@ async def unique_kvstore_config(tmp_path_factory):
unique_id = f"test_kv_{np.random.randint(1e6)}"
temp_dir = tmp_path_factory.getbasetemp()
db_path = str(temp_dir / f"{unique_id}.db")
return SqliteKVStoreConfig(db_path=db_path)
backend_name = f"kv_vector_{unique_id}"
register_kvstore_backends({backend_name: SqliteKVStoreConfig(db_path=db_path)})
return KVStoreReference(backend=backend_name, namespace=f"vector_io::{unique_id}")
@pytest.fixture(scope="session")
@ -138,7 +140,7 @@ async def sqlite_vec_vec_index(embedding_dimension, tmp_path_factory):
async def sqlite_vec_adapter(sqlite_vec_db_path, unique_kvstore_config, mock_inference_api, embedding_dimension):
config = SQLiteVectorIOConfig(
db_path=sqlite_vec_db_path,
kvstore=unique_kvstore_config,
persistence=unique_kvstore_config,
)
adapter = SQLiteVecVectorIOAdapter(
config=config,
@ -176,7 +178,7 @@ async def faiss_vec_index(embedding_dimension):
@pytest.fixture
async def faiss_vec_adapter(unique_kvstore_config, mock_inference_api, embedding_dimension):
config = FaissVectorIOConfig(
kvstore=unique_kvstore_config,
persistence=unique_kvstore_config,
)
adapter = FaissVectorIOAdapter(
config=config,
@ -251,7 +253,7 @@ async def pgvector_vec_adapter(unique_kvstore_config, mock_inference_api, embedd
db="test_db",
user="test_user",
password="test_password",
kvstore=unique_kvstore_config,
persistence=unique_kvstore_config,
)
adapter = PGVectorVectorIOAdapter(config, mock_inference_api, None)