phoenix-oss/llama-stack-mirror
0
0
Fork 1
mirror of https://github.com/meta-llama/llama-stack.git synced 2025-12-16 05:22:40 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

chore: Updating how default embedding model is set in stack

Browse source 
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
Download patch file Download diff file Expand all files Collapse all files

10
llama_stack/providers/inline/vector_io/qdrant/__init__.py
View file

@ -6,20 +6,28 @@
from typing import Any
from llama_stack.core.datatypes import StackRunConfig
from llama_stack.providers.datatypes import Api
from .config import QdrantVectorIOConfig
async def get_provider_impl(config: QdrantVectorIOConfig, deps: dict[Api, Any]):
async def get_provider_impl(
config: QdrantVectorIOConfig, deps: dict[Api, Any], run_config: StackRunConfig | None = None
):
from llama_stack.providers.remote.vector_io.qdrant.qdrant import QdrantVectorIOAdapter
vector_stores_config = None
if run_config and run_config.vector_stores:
vector_stores_config = run_config.vector_stores
assert isinstance(config, QdrantVectorIOConfig), f"Unexpected config type: {type(config)}"
impl = QdrantVectorIOAdapter(
config,
deps[Api.inference],
deps[Api.models],
deps.get(Api.files),
vector_stores_config,
)
await impl.initialize()
return impl