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feat(stores)!: use backend storage references instead of configs

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This commit is contained in:
Ashwin Bharambe 2025-10-16 16:24:31 -07:00
parent b3099d40e2
commit ea9664874d
47 changed files with 893 additions and 696 deletions
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11
llama_stack/providers/remote/vector_io/chroma/config.py
View file

@ -8,21 +8,20 @@ from typing import Any
from pydantic import BaseModel, Field
from llama_stack.providers.utils.kvstore.config import KVStoreConfig, SqliteKVStoreConfig
from llama_stack.core.storage.datatypes import KVStoreReference
from llama_stack.schema_utils import json_schema_type
@json_schema_type
class ChromaVectorIOConfig(BaseModel):
url: str | None
kvstore: KVStoreConfig = Field(description="Config for KV store backend")
kvstore: KVStoreReference = Field(description="Config for KV store backend")
@classmethod
def sample_run_config(cls, __distro_dir__: str, url: str = "${env.CHROMADB_URL}", **kwargs: Any) -> dict[str, Any]:
return {
"url": url,
"kvstore": SqliteKVStoreConfig.sample_run_config(
__distro_dir__=__distro_dir__,
db_name="chroma_remote_registry.db",
),
"kvstore": KVStoreReference(
namespace="vector_io::chroma_remote",
).model_dump(exclude_none=True),
}

11
llama_stack/providers/remote/vector_io/milvus/config.py
View file

@ -8,7 +8,7 @@ from typing import Any
from pydantic import BaseModel, ConfigDict, Field
from llama_stack.providers.utils.kvstore.config import KVStoreConfig, SqliteKVStoreConfig
from llama_stack.core.storage.datatypes import KVStoreReference
from llama_stack.schema_utils import json_schema_type
@ -17,7 +17,7 @@ class MilvusVectorIOConfig(BaseModel):
uri: str = Field(description="The URI of the Milvus server")
token: str | None = Field(description="The token of the Milvus server")
consistency_level: str = Field(description="The consistency level of the Milvus server", default="Strong")
kvstore: KVStoreConfig = Field(description="Config for KV store backend")
kvstore: KVStoreReference = Field(description="Config for KV store backend")
# This configuration allows additional fields to be passed through to the underlying Milvus client.
# See the [Milvus](https://milvus.io/docs/install-overview.md) documentation for more details about Milvus in general.
@ -28,8 +28,7 @@ class MilvusVectorIOConfig(BaseModel):
return {
"uri": "${env.MILVUS_ENDPOINT}",
"token": "${env.MILVUS_TOKEN}",
"kvstore": SqliteKVStoreConfig.sample_run_config(
__distro_dir__=__distro_dir__,
db_name="milvus_remote_registry.db",
),
"kvstore": KVStoreReference(
namespace="vector_io::milvus_remote",
).model_dump(exclude_none=True),
}

16
llama_stack/providers/remote/vector_io/pgvector/config.py
View file

@ -8,10 +8,7 @@ from typing import Any
from pydantic import BaseModel, Field
from llama_stack.providers.utils.kvstore.config import (
KVStoreConfig,
SqliteKVStoreConfig,
)
from llama_stack.core.storage.datatypes import KVStoreReference
from llama_stack.schema_utils import json_schema_type
@ -22,7 +19,9 @@ class PGVectorVectorIOConfig(BaseModel):
db: str | None = Field(default="postgres")
user: str | None = Field(default="postgres")
password: str | None = Field(default="mysecretpassword")
kvstore: KVStoreConfig | None = Field(description="Config for KV store backend (SQLite only for now)", default=None)
kvstore: KVStoreReference | None = Field(
description="Config for KV store backend (SQLite only for now)", default=None
)
@classmethod
def sample_run_config(
@ -41,8 +40,7 @@ class PGVectorVectorIOConfig(BaseModel):
"db": db,
"user": user,
"password": password,
"kvstore": SqliteKVStoreConfig.sample_run_config(
__distro_dir__=__distro_dir__,
db_name="pgvector_registry.db",
),
"kvstore": KVStoreReference(
namespace="vector_io::pgvector",
).model_dump(exclude_none=True),
}

14
llama_stack/providers/remote/vector_io/qdrant/config.py
View file

@ -8,10 +8,7 @@ from typing import Any
from pydantic import BaseModel
from llama_stack.providers.utils.kvstore.config import (
KVStoreConfig,
SqliteKVStoreConfig,
)
from llama_stack.core.storage.datatypes import KVStoreReference
from llama_stack.schema_utils import json_schema_type
@ -27,14 +24,13 @@ class QdrantVectorIOConfig(BaseModel):
prefix: str | None = None
timeout: int | None = None
host: str | None = None
kvstore: KVStoreConfig
kvstore: KVStoreReference
@classmethod
def sample_run_config(cls, __distro_dir__: str, **kwargs: Any) -> dict[str, Any]:
return {
"api_key": "${env.QDRANT_API_KEY:=}",
"kvstore": SqliteKVStoreConfig.sample_run_config(
__distro_dir__=__distro_dir__,
db_name="qdrant_registry.db",
),
"kvstore": KVStoreReference(
namespace="vector_io::qdrant_remote",
).model_dump(exclude_none=True),
}

16
llama_stack/providers/remote/vector_io/weaviate/config.py
View file

@ -8,10 +8,7 @@ from typing import Any
from pydantic import BaseModel, Field
from llama_stack.providers.utils.kvstore.config import (
KVStoreConfig,
SqliteKVStoreConfig,
)
from llama_stack.core.storage.datatypes import KVStoreReference
from llama_stack.schema_utils import json_schema_type
@ -19,7 +16,9 @@ from llama_stack.schema_utils import json_schema_type
class WeaviateVectorIOConfig(BaseModel):
weaviate_api_key: str | None = Field(description="The API key for the Weaviate instance", default=None)
weaviate_cluster_url: str | None = Field(description="The URL of the Weaviate cluster", default="localhost:8080")
kvstore: KVStoreConfig | None = Field(description="Config for KV store backend (SQLite only for now)", default=None)
kvstore: KVStoreReference | None = Field(
description="Config for KV store backend (SQLite only for now)", default=None
)
@classmethod
def sample_run_config(
@ -30,8 +29,7 @@ class WeaviateVectorIOConfig(BaseModel):
return {
"weaviate_api_key": None,
"weaviate_cluster_url": "${env.WEAVIATE_CLUSTER_URL:=localhost:8080}",
"kvstore": SqliteKVStoreConfig.sample_run_config(
__distro_dir__=__distro_dir__,
db_name="weaviate_registry.db",
),
"kvstore": KVStoreReference(
namespace="vector_io::weaviate",
).model_dump(exclude_none=True),
}