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https://github.com/meta-llama/llama-stack.git
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Merge branch 'main' into chroma
This commit is contained in:
commit
f856e53323
1881 changed files with 886579 additions and 84028 deletions
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@ -22,16 +22,22 @@ from llama_stack.apis.vector_io import (
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)
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from llama_stack.log import get_logger
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from llama_stack.providers.datatypes import Api, VectorDBsProtocolPrivate
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from llama_stack.providers.inline.vector_io.chroma import ChromaVectorIOConfig as InlineChromaVectorIOConfig
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from llama_stack.providers.inline.vector_io.chroma import (
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ChromaVectorIOConfig as InlineChromaVectorIOConfig,
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)
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from llama_stack.providers.utils.kvstore import kvstore_impl
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from llama_stack.providers.utils.kvstore.api import KVStore
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from llama_stack.providers.utils.memory.openai_vector_store_mixin import OpenAIVectorStoreMixin
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from llama_stack.providers.utils.memory.openai_vector_store_mixin import (
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OpenAIVectorStoreMixin,
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)
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from llama_stack.providers.utils.memory.vector_store import (
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ChunkForDeletion,
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EmbeddingIndex,
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VectorDBWithIndex,
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)
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from llama_stack.providers.utils.vector_io.vector_utils import WeightedInMemoryAggregator
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from llama_stack.providers.utils.vector_io.vector_utils import (
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WeightedInMemoryAggregator,
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)
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from .config import ChromaVectorIOConfig as RemoteChromaVectorIOConfig
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@ -223,14 +229,13 @@ class ChromaVectorIOAdapter(OpenAIVectorStoreMixin, VectorIO, VectorDBsProtocolP
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inference_api: Api.inference,
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files_api: Files | None,
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) -> None:
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super().__init__(files_api=files_api, kvstore=None)
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log.info(f"Initializing ChromaVectorIOAdapter with url: {config}")
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self.config = config
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self.inference_api = inference_api
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self.client = None
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self.cache = {}
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self.kvstore: KVStore | None = None
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self.vector_db_store = None
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self.files_api = files_api
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async def initialize(self) -> None:
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self.kvstore = await kvstore_impl(self.config.kvstore)
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@ -251,7 +256,8 @@ class ChromaVectorIOAdapter(OpenAIVectorStoreMixin, VectorIO, VectorDBsProtocolP
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self.openai_vector_stores = await self._load_openai_vector_stores()
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async def shutdown(self) -> None:
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pass
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# Clean up mixin resources (file batch tasks)
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await super().shutdown()
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async def register_vector_db(
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self,
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