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feat(api)!: support extra_body to embeddings and vector_stores APIs (#3794)
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Applies the same pattern from https://github.com/llamastack/llama-stack/pull/3777 to embeddings and vector_stores.create() endpoints. This should _not_ be a breaking change since (a) our tests were already using the `extra_body` parameter when passing in to the backend (b) but the backend probably wasn't extracting the parameters correctly. This PR will fix that. Updated APIs: `openai_embeddings(), openai_create_vector_store(), openai_create_vector_store_file_batch()`
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26 changed files with 451 additions and 426 deletions
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@ -10,7 +10,10 @@ from collections.abc import Iterable
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from huggingface_hub import AsyncInferenceClient, HfApi
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from pydantic import SecretStr
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from llama_stack.apis.inference import OpenAIEmbeddingsResponse
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from llama_stack.apis.inference import (
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OpenAIEmbeddingsRequestWithExtraBody,
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OpenAIEmbeddingsResponse,
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)
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from llama_stack.log import get_logger
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from llama_stack.providers.utils.inference.openai_mixin import OpenAIMixin
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@ -40,11 +43,7 @@ class _HfAdapter(OpenAIMixin):
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async def openai_embeddings(
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self,
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model: str,
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input: str | list[str],
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encoding_format: str | None = "float",
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dimensions: int | None = None,
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user: str | None = None,
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params: OpenAIEmbeddingsRequestWithExtraBody,
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) -> OpenAIEmbeddingsResponse:
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raise NotImplementedError()
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