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chore: Added openai compatible vector io endpoints for chromadb (#2489)
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# What does this PR do? This PR implements the openai compatible endpoints for chromadb Closes #2462 ## Test Plan Ran ollama llama stack server and ran the command `pytest -sv --stack-config=http://localhost:8321 tests/integration/vector_io/test_openai_vector_stores.py --embedding-model all-MiniLM-L6-v2` 8 failed, 27 passed, 8 skipped, 1 xfailed The failed ones are regarding files api --------- Signed-off-by: Francisco Javier Arceo <farceo@redhat.com> Co-authored-by: sarthakdeshpande <sarthak.deshpande@engati.com> Co-authored-by: Francisco Javier Arceo <farceo@redhat.com> Co-authored-by: Francisco Arceo <arceofrancisco@gmail.com>
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18 changed files with 670 additions and 142 deletions
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@ -16,6 +16,6 @@ async def get_provider_impl(config: ChromaVectorIOConfig, deps: dict[Api, Any]):
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ChromaVectorIOAdapter,
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)
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impl = ChromaVectorIOAdapter(config, deps[Api.inference])
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impl = ChromaVectorIOAdapter(config, deps[Api.inference], deps.get(Api.files))
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await impl.initialize()
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return impl
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@ -6,12 +6,25 @@
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from typing import Any
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from pydantic import BaseModel
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from pydantic import BaseModel, Field
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from llama_stack.providers.utils.kvstore.config import KVStoreConfig, SqliteKVStoreConfig
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from llama_stack.schema_utils import json_schema_type
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@json_schema_type
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class ChromaVectorIOConfig(BaseModel):
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db_path: str
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kvstore: KVStoreConfig = Field(description="Config for KV store backend")
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@classmethod
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def sample_run_config(cls, db_path: str = "${env.CHROMADB_PATH}", **kwargs: Any) -> dict[str, Any]:
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return {"db_path": db_path}
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def sample_run_config(
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cls, __distro_dir__: str, db_path: str = "${env.CHROMADB_PATH}", **kwargs: Any
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) -> dict[str, Any]:
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return {
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"db_path": db_path,
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"kvstore": SqliteKVStoreConfig.sample_run_config(
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__distro_dir__=__distro_dir__,
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db_name="chroma_inline_registry.db",
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),
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}
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