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add responses_api
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parent
055a4fa2d5
commit
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3 changed files with 155 additions and 51 deletions
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@ -3509,55 +3509,11 @@ async def chat_completion( # noqa: PLR0915
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_chat_response.usage = _usage # type: ignore
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return _chat_response
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except Exception as e:
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verbose_proxy_logger.exception(
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f"litellm.proxy.proxy_server.chat_completion(): Exception occured - {str(e)}"
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)
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await proxy_logging_obj.post_call_failure_hook(
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user_api_key_dict=user_api_key_dict, original_exception=e, request_data=data
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)
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litellm_debug_info = getattr(e, "litellm_debug_info", "")
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verbose_proxy_logger.debug(
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"\033[1;31mAn error occurred: %s %s\n\n Debug this by setting `--debug`, e.g. `litellm --model gpt-3.5-turbo --debug`",
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e,
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litellm_debug_info,
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)
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timeout = getattr(
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e, "timeout", None
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) # returns the timeout set by the wrapper. Used for testing if model-specific timeout are set correctly
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_litellm_logging_obj: Optional[LiteLLMLoggingObj] = data.get(
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"litellm_logging_obj", None
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)
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custom_headers = ProxyBaseLLMRequestProcessing.get_custom_headers(
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raise await ProxyBaseLLMRequestProcessing._handle_llm_api_exception(
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e=e,
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data=data,
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user_api_key_dict=user_api_key_dict,
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call_id=(
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_litellm_logging_obj.litellm_call_id if _litellm_logging_obj else None
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),
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version=version,
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response_cost=0,
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model_region=getattr(user_api_key_dict, "allowed_model_region", ""),
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request_data=data,
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timeout=timeout,
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)
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headers = getattr(e, "headers", {}) or {}
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headers.update(custom_headers)
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if isinstance(e, HTTPException):
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raise ProxyException(
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message=getattr(e, "detail", str(e)),
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type=getattr(e, "type", "None"),
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param=getattr(e, "param", "None"),
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code=getattr(e, "status_code", status.HTTP_400_BAD_REQUEST),
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headers=headers,
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)
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error_msg = f"{str(e)}"
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raise ProxyException(
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message=getattr(e, "message", error_msg),
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type=getattr(e, "type", "None"),
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param=getattr(e, "param", "None"),
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openai_code=getattr(e, "code", None),
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code=getattr(e, "status_code", 500),
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headers=headers,
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proxy_logging_obj=proxy_logging_obj,
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)
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