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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()`
28 lines
803 B
Python
28 lines
803 B
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from urllib.parse import urljoin
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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.providers.utils.inference.openai_mixin import OpenAIMixin
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from .config import CerebrasImplConfig
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class CerebrasInferenceAdapter(OpenAIMixin):
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config: CerebrasImplConfig
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def get_base_url(self) -> str:
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return urljoin(self.config.base_url, "v1")
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async def openai_embeddings(
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self,
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params: OpenAIEmbeddingsRequestWithExtraBody,
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) -> OpenAIEmbeddingsResponse:
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raise NotImplementedError()
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