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fix(mypy): resolve provider utility and testing type issues (#3935)
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Fixes mypy type errors in provider utilities and testing infrastructure: - `mcp.py`: Cast incompatible client types, wrap image data properly - `batches.py`: Rename walrus variable to avoid shadowing - `api_recorder.py`: Use cast for Pydantic field annotation No functional changes. --------- Co-authored-by: Claude <noreply@anthropic.com>
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6 changed files with 33 additions and 25 deletions
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@ -6,6 +6,7 @@
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from collections.abc import Iterable
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from typing import Any, cast
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from together import AsyncTogether
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from together.constants import BASE_URL
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@ -81,10 +82,11 @@ class TogetherInferenceAdapter(OpenAIMixin, NeedsRequestProviderData):
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if params.dimensions is not None:
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raise ValueError("Together's embeddings endpoint does not support dimensions param.")
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# Cast encoding_format to match OpenAI SDK's expected Literal type
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response = await self.client.embeddings.create(
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model=await self._get_provider_model_id(params.model),
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input=params.input,
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encoding_format=params.encoding_format,
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encoding_format=cast(Any, params.encoding_format),
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)
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response.model = (
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@ -97,6 +99,8 @@ class TogetherInferenceAdapter(OpenAIMixin, NeedsRequestProviderData):
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logger.warning(
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f"Together's embedding endpoint for {params.model} did not return usage information, substituting -1s."
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)
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response.usage = OpenAIEmbeddingUsage(prompt_tokens=-1, total_tokens=-1)
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# Cast to allow monkey-patching the response object
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response.usage = cast(Any, OpenAIEmbeddingUsage(prompt_tokens=-1, total_tokens=-1))
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return response # type: ignore[no-any-return]
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# Together's CreateEmbeddingResponse is compatible with OpenAIEmbeddingsResponse after monkey-patching
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return cast(OpenAIEmbeddingsResponse, response)
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