ReAct如何改变大模型 AI 能力

REACT_PROMPT = """
{instructions}

TOOLS:
------

You have access to the following tools:

{tools}

To use a tool, please use the following format:

Thought: Do I need to use a tool? Yes
Action: the action to take, should be one of [{tool_names}]
Action Input: the input to the action

Then wait for Human will response to you the result of action by use Observation.
... (this Thought/Action/Action Input/Observation can repeat N times, and once process one action)
When you have a response to say to the Human, or if you do not need to use a tool, you MUST use the format:

Thought: Do I need to use a tool? No
Final Answer: [your response here]

Begin!

New input: {input}

"""

# 工具描述
tools = [
    {
        "name": "get_city_temperature",
        "description": "使用该工具可以获取指定城市的气温",
        "parameters": {
            "type": "object",
            "properties": {
                "name": {
                    "type": "string",
                    "description": "城市名称",
                }
            },
            "required": ["name"]
        },
    },
]

# 真正的工具执行函数
def get_city_temperature(name):
    if name == "Xi'an":
        return "40°c"
    elif name == "Chengdu":
        return "36°c"
    else:
        return "未获得该城市的气温"

instructions = "您是一个天气助手，可以回答各城市气候相关的问题"

query = "西安和成都的哪个城市的温度高？"

prompt = REACT_PROMPT.format(instructions=instructions, tools=tools, tool_names="get_city_temperature", input=query)

messages = [{"role": "user", "content": prompt}]

while True:
    response = send_messages(messages)
    response_text = response.choices[0].message.content

    print("大模型的回复：")
    print(response_text)

    final_answer_match = re.search(r'Final Answer:\s*(.*)', response_text)
    if final_answer_match:
        final_answer = final_answer_match.group(1)
        print("最终答案:", final_answer)
        break

    messages.append(response.choices[0].message)

    action_match = re.search(r'Action:\s*(\w+)', response_text)
    action_input_match = re.search(r'Action Input:\s*({.*?}|".*?")', response_text, re.DOTALL)

    if action_match and action_input_match:
        tool_name = action_match.group(1)
        params = json.loads(action_input_match.group(1))

        if tool_name == "get_city_temperature":
            observation = get_city_temperature(params['name'])
            print("人为函数的回复：Observation:", observation)
            messages.append({"role": "user", "content": f"Observation: {observation}"})