chore: Consistent naming for VectorIO providers (#1023)

# What does this PR do?

This changes all VectorIO providers classes to follow the pattern
`<ProviderName>VectorIOConfig` and `<ProviderName>VectorIOAdapter`. All
API endpoints for VectorIOs are currently consistent with `/vector-io`.

Note that API endpoint for VectorDB stay unchanged as `/vector-dbs`. 

## Test Plan

I don't have a way to test all providers. This is a simple renaming so
things should work as expected.

---------

Signed-off-by: Yuan Tang <terrytangyuan@gmail.com>
This commit is contained in:
Yuan Tang 2025-02-13 13:15:49 -05:00 committed by GitHub
parent e4a1579e63
commit 8ff27b58fa
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
34 changed files with 85 additions and 86 deletions

View file

@ -8,10 +8,10 @@ from typing import Dict
from llama_stack.providers.datatypes import Api, ProviderSpec
from .config import ChromaInlineImplConfig
from .config import ChromaVectorIOConfig
async def get_provider_impl(config: ChromaInlineImplConfig, deps: Dict[Api, ProviderSpec]):
async def get_provider_impl(config: ChromaVectorIOConfig, deps: Dict[Api, ProviderSpec]):
from llama_stack.providers.remote.vector_io.chroma.chroma import (
ChromaVectorIOAdapter,
)

View file

@ -9,7 +9,7 @@ from typing import Any, Dict
from pydantic import BaseModel
class ChromaInlineImplConfig(BaseModel):
class ChromaVectorIOConfig(BaseModel):
db_path: str
@classmethod

View file

@ -8,14 +8,14 @@ from typing import Dict
from llama_stack.providers.datatypes import Api, ProviderSpec
from .config import FaissImplConfig
from .config import FaissVectorIOConfig
async def get_provider_impl(config: FaissImplConfig, deps: Dict[Api, ProviderSpec]):
from .faiss import FaissVectorIOImpl
async def get_provider_impl(config: FaissVectorIOConfig, deps: Dict[Api, ProviderSpec]):
from .faiss import FaissVectorIOAdapter
assert isinstance(config, FaissImplConfig), f"Unexpected config type: {type(config)}"
assert isinstance(config, FaissVectorIOConfig), f"Unexpected config type: {type(config)}"
impl = FaissVectorIOImpl(config, deps[Api.inference])
impl = FaissVectorIOAdapter(config, deps[Api.inference])
await impl.initialize()
return impl

View file

@ -16,7 +16,7 @@ from llama_stack.providers.utils.kvstore.config import (
@json_schema_type
class FaissImplConfig(BaseModel):
class FaissVectorIOConfig(BaseModel):
kvstore: KVStoreConfig
@classmethod

View file

@ -24,7 +24,7 @@ from llama_stack.providers.utils.memory.vector_store import (
VectorDBWithIndex,
)
from .config import FaissImplConfig
from .config import FaissVectorIOConfig
logger = logging.getLogger(__name__)
@ -112,8 +112,8 @@ class FaissIndex(EmbeddingIndex):
return QueryChunksResponse(chunks=chunks, scores=scores)
class FaissVectorIOImpl(VectorIO, VectorDBsProtocolPrivate):
def __init__(self, config: FaissImplConfig, inference_api: Api.inference) -> None:
class FaissVectorIOAdapter(VectorIO, VectorDBsProtocolPrivate):
def __init__(self, config: FaissVectorIOConfig, inference_api: Api.inference) -> None:
self.config = config
self.inference_api = inference_api
self.cache = {}