Method from_embeddings

examples/server/server.py:2658–2684

(
        cls,
        *,
        model: str,
        embeddings: Sequence[Sequence[float]],
        total_tokens: int,
        encoding_format: Literal["float", "base64"],
        dimensions: Optional[int],
    )

    @classmethod
    def from_embeddings(
        cls,
        *,
        model: str,
        embeddings: Sequence[Sequence[float]],
        total_tokens: int,
        encoding_format: Literal["float", "base64"],
        dimensions: Optional[int],
    ) -> "CreateEmbeddingResponse":
        return cls(
            data=[
                EmbeddingDataResponse(
                    embedding=cls.encode_embedding(
                        embedding,
                        encoding_format,
                        dimensions,
                    ),
                    index=index,
                )
                for index, embedding in enumerate(embeddings)
            ],
            model=model,
            usage=EmbeddingUsageResponse(
                prompt_tokens=total_tokens,
                total_tokens=total_tokens,
            ),
        )


class ChatCompletionFunctionCall(BaseModel):