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- Keeps processing in different flows separate so that data can go to different stores / collections etc. - Potentially supports different processing flows - Tidies the processing API with common base-classes for e.g. LLMs, and automatic configuration of 'clients' to use the right queue names in a flow
31 lines
877 B
Python
31 lines
877 B
Python
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from . request_response_spec import RequestResponse, RequestResponseSpec
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from .. schema import EmbeddingsRequest, EmbeddingsResponse
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class EmbeddingsClient(RequestResponse):
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async def embed(self, text, timeout=30):
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resp = await self.request(
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EmbeddingsRequest(
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text = text
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),
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timeout=timeout
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)
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if resp.error:
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raise RuntimeError(resp.error.message)
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return resp.vectors
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class EmbeddingsClientSpec(RequestResponseSpec):
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def __init__(
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self, request_name, response_name,
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):
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super(EmbeddingsClientSpec, self).__init__(
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request_name = request_name,
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request_schema = EmbeddingsRequest,
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response_name = response_name,
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response_schema = EmbeddingsResponse,
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impl = EmbeddingsClient,
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)
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