function的参数都在tool_calls里。 tool_calls = response_message.tool_calls print("\n# Step 2: check if the model wanted to call a function") if tool_calls: print("\n # Step 3: call the function") available_functions = { "get_current_weather": get_current_weather, } # only one ...
messages.append(response_message) for tool_call in tool_calls: # 遍历函数调用 function_name = tool_call.function.name function_to_call = available_functions[function_name] # 找到本地目标函数 function_args = json.loads(tool_call.function.arguments) # 获取函数参数的具体值 function_response = fun...
tools=tools, 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 # Note: the JSON ...
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_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
🥰 需求描述 | Feature Description 如题,是否能兼容openai新版toolcalls机制 🧐 解决方案 | Proposed Solution https://platform.openai.com/docs/guides/function-calling 📝 补充信息 | Additional Information No response
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: ...
@esmeetu You can already do that by modifying the template in CONTEXT == CALLS_NOTIF and CONTEXT == TOOL_RESPONSE. This allows you to modify the way functions responses are presented to the LLM. There are Jinja comments in the template, but Jinja scripts are difficult to read! This is ...
●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 ...
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) ...