print(colored(f"user: {message['content']}\n", role_to_color[message["role"]])) elif message["role"] == "assistant" and message.get("tool_calls"): print(colored(f"assistant: {message['tool_calls']}\n", role_to_color[message["role"]])) elif message["role"] == "assistant" ...
convert_to_openai_tool(ReportTool)] ) 接下来,我们需要一个新函数来从响应中读取函数调用的参数: def parse_function_args(response): message = response.choices[0].message return json.loads(message.tool_calls[0].function.arguments) print(parse_function_args(response)) {'description': 'Coffee', 'n...
#Checkifthemodelhasmadeatool_call.Thisisthecaseeitherifthe"finish_reason"is"tool_calls"orifthe"finish_reason"is"stop"andourAPIrequesthadforcedafunctioncall if(response['choices'][0]['message']['finish_reason']=="tool_calls"or #Thishandlestheedgecasewhereifweforcedthemodeltocalloneofourfunctions...
for tool_call in tool_calls: function_name = tool_call.function.name function_to_call = available_functions[function_name] function_args = json.loads(tool_call.function.arguments) function_response = function_to_call(**function_args) messages.append( { "tool_call_id": tool_call.id, "role...
tool_choice="auto", # auto isdefault, but we'll be explicit ) response_message = response.choices[0].message tool_calls = response_message.tool_calls # Step 2: check if the model wanted to call a function if tool_calls: # Step 3: call the function...
tool_calls=response_message.tool_calls # 包含了函数调用所需要的信息 response里的tool_calls,包含了我们描述的函数相关信息,以及所需要的参数。 调用自定义函数 从前面的response中提取参数,并调用get_weather(city, date): 代码语言:javascript 复制
●与并行函数调用不兼容:生成并行函数调用时,可能不符合提供的模式。开发者可以禁用并行函数调用,使用“parallel_tool_calls: false”设置。●不符合零数据保留(ZDR)资格:结构化输出与JSON模式不符合零数据保留(ZDR)资格。五、总结:OpenAI 推出的结构化输出功能,让大模型的应用更加灵活和高效。通过定义 JSON ...
tool_choice="auto" ) print("first_response:", first_response) response_message=first_response.choices[0].message tool_calls=response_message.tool_calls # 如果返回结果要求用Function Call,就调用函数,并把函数的查询结果附加到消息中 iftool_calls: ...
function_id = run.required_action.submit_tool_outputs.tool_calls[0].id return function_name, arguments, function_id # 拿到Function的元数据信息 function_name, arguments, function_id = get_function_details(run) print("function_name:", function_name) ...
tool_calls: 展示了使用了什么tool 限制 目前是beta 版本,将会持续解决后续这些如下问题 支持流式输出 支持通知的功能,可以在无需轮询的情况下共享对象状态更新 支持DALL·E 作为工具 支持用户上传图片 Tools Code Interpreter Code Interpreter(代码解释器) 允许 Assistant API 去创建并且执行代码。这个代码解释器能力,...