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chore: Updating how default embedding model is set in stack

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Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>

# Conflicts:
#	.github/workflows/integration-vector-io-tests.yml
#	llama_stack/distributions/ci-tests/run.yaml
#	llama_stack/distributions/starter-gpu/run.yaml
#	llama_stack/distributions/starter/run.yaml
#	llama_stack/distributions/template.py
#	llama_stack/providers/utils/memory/openai_vector_store_mixin.py
This commit is contained in:
Francisco Javier Arceo 2025-10-15 17:15:43 -04:00
parent cd152f4240
commit 24a1430c8b
32 changed files with 276 additions and 265 deletions
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10
llama_stack/providers/remote/vector_io/qdrant/__init__.py
View file

@ -4,19 +4,27 @@
# This source code is licensed under the terms described in the LICENSE file in
# the root directory of this source tree.
from llama_stack.core.datatypes import StackRunConfig
from llama_stack.providers.datatypes import Api, ProviderSpec
from .config import QdrantVectorIOConfig
async def get_adapter_impl(config: QdrantVectorIOConfig, deps: dict[Api, ProviderSpec]):
async def get_adapter_impl(
config: QdrantVectorIOConfig, deps: dict[Api, ProviderSpec], run_config: StackRunConfig | None = None
):
from .qdrant import QdrantVectorIOAdapter
vector_stores_config = None
if run_config and run_config.vector_stores:
vector_stores_config = run_config.vector_stores
impl = QdrantVectorIOAdapter(
config,
deps[Api.inference],
deps[Api.models],
deps.get(Api.files),
vector_stores_config,
)
await impl.initialize()
return impl

3
llama_stack/providers/remote/vector_io/qdrant/qdrant.py
View file

@ -25,6 +25,7 @@ from llama_stack.apis.vector_io import (
VectorStoreChunkingStrategy,
VectorStoreFileObject,
)
from llama_stack.core.datatypes import VectorStoresConfig
from llama_stack.log import get_logger
from llama_stack.providers.datatypes import VectorDBsProtocolPrivate
from llama_stack.providers.inline.vector_io.qdrant import QdrantVectorIOConfig as InlineQdrantVectorIOConfig
@ -163,6 +164,7 @@ class QdrantVectorIOAdapter(OpenAIVectorStoreMixin, VectorIO, VectorDBsProtocolP
inference_api: Inference,
models_api: Models,
files_api: Files | None = None,
vector_stores_config: VectorStoresConfig | None = None,
) -> None:
super().__init__(files_api=files_api, kvstore=None)
self.config = config
@ -170,6 +172,7 @@ class QdrantVectorIOAdapter(OpenAIVectorStoreMixin, VectorIO, VectorDBsProtocolP
self.cache = {}
self.inference_api = inference_api
self.models_api = models_api
self.vector_stores_config = vector_stores_config
self.vector_db_store = None
self._qdrant_lock = asyncio.Lock()