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fix: 联网搜索失败,函数调用无返回值 #342
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@@ -129,6 +129,9 @@ class LLMRequestSubStage(Stage):
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req.prompt += extra_prompt
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async for _ in self.process(event, _nested=True):
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yield
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else:
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if llm_response.completion_text:
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event.set_result(MessageEventResult().message(llm_response.completion_text))
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except BaseException as e:
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logger.error(traceback.format_exc())
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@@ -80,12 +80,14 @@ class ProviderOpenAIOfficial(Provider):
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raise Exception("API 返回的 completion 为空。")
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choice = completion.choices[0]
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llm_response = LLMResponse("assistant")
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if choice.message.content:
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# text completion
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completion_text = str(choice.message.content).strip()
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return LLMResponse("assistant", completion_text, raw_completion=completion)
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elif choice.message.tool_calls:
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llm_response.completion_text = completion_text
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if choice.message.tool_calls:
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# tools call (function calling)
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args_ls = []
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func_name_ls = []
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@@ -95,10 +97,15 @@ class ProviderOpenAIOfficial(Provider):
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args = json.loads(tool_call.function.arguments)
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args_ls.append(args)
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func_name_ls.append(tool_call.function.name)
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return LLMResponse(role="tool", tools_call_args=args_ls, tools_call_name=func_name_ls, raw_completion=completion)
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else:
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llm_response.role = "tool"
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llm_response.tools_call_args = args_ls
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llm_response.tools_call_name = func_name_ls
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if not llm_response.completion_text and not llm_response.tools_call_args:
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logger.error(f"API 返回的 completion 无法解析:{completion}。")
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raise Exception("Internal Error")
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raise Exception(f"API 返回的 completion 无法解析:{completion}。")
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return llm_response
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async def text_chat(
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self,
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