fix: allow base64 string in Embedding model to prevent Pydantic warni… #32
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…ngs for Azure embeddings This PR fixes openai#1039 by updating the Embedding response model used for Azure async embedding calls. Currently, when using the Azure Embeddings API in async mode, the SDK emits Pydantic warnings at every call because the embedding field is strictly typed as List[float]. However, Azure sometimes returns base64‑encoded strings instead of float arrays, which Pydantic tries to validate, resulting in noisy warnings and minor performance overhead. This change modifies the model to accept both List[float] and str for the embedding field and disables unnecessary validation, preventing Pydantic from trying to coerce base64 strings into float arrays.
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…ngs for Azure embeddings
This PR fixes openai#1039 by updating the Embedding response model used for Azure async embedding calls.
Currently, when using the Azure Embeddings API in async mode, the SDK emits Pydantic warnings at every call because the embedding field is strictly typed as List[float]. However, Azure sometimes returns base64‑encoded strings instead of float arrays, which Pydantic tries to validate, resulting in noisy warnings and minor performance overhead.
This change modifies the model to accept both List[float] and str for the embedding field and disables unnecessary validation, preventing Pydantic from trying to coerce base64 strings into float arrays.
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