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$ ./scripts/unit-tests.sh 
.../llama-stack/.venv/bin/python3
      Built llama-stack @ file://.../llama-stack
Uninstalled 2 packages in 27ms
Installed 3 packages in 32ms
========================================= test session starts ==========================================
platform linux -- Python 3.12.11, pytest-8.4.1, pluggy-1.6.0 -- .../llama-stack/.venv/bin/python3
cachedir: .pytest_cache
metadata: {'Python': '3.12.11', 'Platform': 'Linux-6.15.7-200.fc42.x86_64-x86_64-with-glibc2.41', 'Packages': {'pytest': '8.4.1', 'pluggy': '1.6.0'}, 'Plugins': {'html': '4.1.1', 'anyio': '4.9.0', 'timeout': '2.4.0', 'cov': '6.2.1', 'asyncio': '1.1.0', 'nbval': '0.11.0', 'socket': '0.7.0', 'json-report': '1.5.0', 'metadata': '3.1.1'}}
rootdir: .../llama-stack
configfile: pyproject.toml
plugins: html-4.1.1, anyio-4.9.0, timeout-2.4.0, cov-6.2.1, asyncio-1.1.0, nbval-0.11.0, socket-0.7.0, json-report-1.5.0, metadata-3.1.1
asyncio: mode=Mode.AUTO, asyncio_default_fixture_loop_scope=None, asyncio_default_test_loop_scope=function
collected 678 items                                                                                    
...
================================================ ERRORS ================================================
__________________ ERROR at setup of test_qdrant_adapter_returns_expected_chunks[2-2] __________________

qdrant_config = QdrantVectorIOConfig(path='/tmp/pytest-of-matt/pytest-203/test_qdrant_adapter_returns_ex0/qdrant.db', kvstore=SqliteKVStoreConfig(namespace=None, type='sqlite', db_path='/home/matt/.llama/runtime/kvstore.db'))
mock_vector_db_store = <MagicMock spec='VectorDBStore' id='140019965986816'>
mock_api_service = <MagicMock spec='Inference' id='140019965990368'>
loop = <_UnixSelectorEventLoop running=False closed=False debug=False>

    @pytest.fixture
    async def qdrant_adapter(qdrant_config, mock_vector_db_store, mock_api_service, loop) -> QdrantVectorIOAdapter:
        adapter = QdrantVectorIOAdapter(config=qdrant_config, inference_api=mock_api_service, files_api=None)
        adapter.vector_db_store = mock_vector_db_store
>       await adapter.initialize()

tests/unit/providers/vector_io/test_qdrant.py:79: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
llama_stack/providers/utils/telemetry/trace_protocol.py:101: in async_wrapper
    result = await method(self, *args, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <llama_stack.providers.remote.vector_io.qdrant.qdrant.QdrantVectorIOAdapter object at 0x7f58f041d8e0>

    async def initialize(self) -> None:
        client_config = self.config.model_dump(exclude_none=True, exclude={"kvstore"})
        self.client = AsyncQdrantClient(**client_config)
        self.kvstore = await kvstore_impl(self.config.kvstore)
    
        start_key = VECTOR_DBS_PREFIX
        end_key = f"{VECTOR_DBS_PREFIX}\xff"
        stored_vector_dbs = await self.kvstore.values_in_range(start_key, end_key)
    
        for vector_db_data in stored_vector_dbs:
>           vector_db = VectorDB.model_validate_json(vector_db_data)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E           pydantic_core._pydantic_core.ValidationError: 1 validation error for VectorDB
E           provider_id
E             Field required [type=missing, input_value={'identifier': 'test-vect...bedding_dimension': 384}, input_type=dict]
E               For further information visit https://errors.pydantic.dev/2.11/v/missing

llama_stack/providers/remote/vector_io/qdrant/qdrant.py:181: ValidationError
________________ ERROR at setup of test_qdrant_adapter_returns_expected_chunks[100-60] _________________

qdrant_config = QdrantVectorIOConfig(path='/tmp/pytest-of-matt/pytest-203/test_qdrant_adapter_returns_ex1/qdrant.db', kvstore=SqliteKVStoreConfig(namespace=None, type='sqlite', db_path='/home/matt/.llama/runtime/kvstore.db'))
mock_vector_db_store = <MagicMock spec='VectorDBStore' id='140019965996128'>
mock_api_service = <MagicMock spec='Inference' id='140023187045600'>
loop = <_UnixSelectorEventLoop running=False closed=False debug=False>

    @pytest.fixture
    async def qdrant_adapter(qdrant_config, mock_vector_db_store, mock_api_service, loop) -> QdrantVectorIOAdapter:
        adapter = QdrantVectorIOAdapter(config=qdrant_config, inference_api=mock_api_service, files_api=None)
        adapter.vector_db_store = mock_vector_db_store
>       await adapter.initialize()

tests/unit/providers/vector_io/test_qdrant.py:79: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
llama_stack/providers/utils/telemetry/trace_protocol.py:101: in async_wrapper
    result = await method(self, *args, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <llama_stack.providers.remote.vector_io.qdrant.qdrant.QdrantVectorIOAdapter object at 0x7f59b052cbc0>

    async def initialize(self) -> None:
        client_config = self.config.model_dump(exclude_none=True, exclude={"kvstore"})
        self.client = AsyncQdrantClient(**client_config)
        self.kvstore = await kvstore_impl(self.config.kvstore)
    
        start_key = VECTOR_DBS_PREFIX
        end_key = f"{VECTOR_DBS_PREFIX}\xff"
        stored_vector_dbs = await self.kvstore.values_in_range(start_key, end_key)
    
        for vector_db_data in stored_vector_dbs:
>           vector_db = VectorDB.model_validate_json(vector_db_data)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E           pydantic_core._pydantic_core.ValidationError: 1 validation error for VectorDB
E           provider_id
E             Field required [type=missing, input_value={'identifier': 'test-vect...bedding_dimension': 384}, input_type=dict]
E               For further information visit https://errors.pydantic.dev/2.11/v/missing

llama_stack/providers/remote/vector_io/qdrant/qdrant.py:181: ValidationError
___________________ ERROR at setup of test_qdrant_register_and_unregister_vector_db ____________________

qdrant_config = QdrantVectorIOConfig(path='/tmp/pytest-of-matt/pytest-203/test_qdrant_register_and_unreg0/qdrant.db', kvstore=SqliteKVStoreConfig(namespace=None, type='sqlite', db_path='/home/matt/.llama/runtime/kvstore.db'))
mock_vector_db_store = <MagicMock spec='VectorDBStore' id='140019964704816'>
mock_api_service = <MagicMock spec='Inference' id='140019964691760'>
loop = <_UnixSelectorEventLoop running=False closed=False debug=False>

    @pytest.fixture
    async def qdrant_adapter(qdrant_config, mock_vector_db_store, mock_api_service, loop) -> QdrantVectorIOAdapter:
        adapter = QdrantVectorIOAdapter(config=qdrant_config, inference_api=mock_api_service, files_api=None)
        adapter.vector_db_store = mock_vector_db_store
>       await adapter.initialize()

tests/unit/providers/vector_io/test_qdrant.py:79: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
llama_stack/providers/utils/telemetry/trace_protocol.py:101: in async_wrapper
    result = await method(self, *args, **kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <llama_stack.providers.remote.vector_io.qdrant.qdrant.QdrantVectorIOAdapter object at 0x7f59704771d0>

    async def initialize(self) -> None:
        client_config = self.config.model_dump(exclude_none=True, exclude={"kvstore"})
        self.client = AsyncQdrantClient(**client_config)
        self.kvstore = await kvstore_impl(self.config.kvstore)
    
        start_key = VECTOR_DBS_PREFIX
        end_key = f"{VECTOR_DBS_PREFIX}\xff"
        stored_vector_dbs = await self.kvstore.values_in_range(start_key, end_key)
    
        for vector_db_data in stored_vector_dbs:
>           vector_db = VectorDB.model_validate_json(vector_db_data)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
E           pydantic_core._pydantic_core.ValidationError: 1 validation error for VectorDB
E           provider_id
E             Field required [type=missing, input_value={'identifier': 'test-vect...bedding_dimension': 384}, input_type=dict]
E               For further information visit https://errors.pydantic.dev/2.11/v/missing

llama_stack/providers/remote/vector_io/qdrant/qdrant.py:181: ValidationError
...
======================================= short test summary info ========================================
ERROR tests/unit/providers/vector_io/test_qdrant.py::test_qdrant_adapter_returns_expected_chunks[2-2] - pydantic_core._pydantic_core.ValidationError: 1 validation error for VectorDB
ERROR tests/unit/providers/vector_io/test_qdrant.py::test_qdrant_adapter_returns_expected_chunks[100-60] - pydantic_core._pydantic_core.ValidationError: 1 validation error for VectorDB
ERROR tests/unit/providers/vector_io/test_qdrant.py::test_qdrant_register_and_unregister_vector_db - pydantic_core._pydantic_core.ValidationError: 1 validation error for VectorDB
============================= 675 passed, 204 warnings, 3 errors in 55.53s =============================