langchain DEMO问题：无法调用tools

[Lizhli2825]

System Info / 系統信息

现象：/root/.virtualenvs/LLM/lib/python3.9/site-packages/langchain/init.py:29: UserWarning: Importing PromptTemplate from langchain root module is no longer supported. Please use langchain_core.prompts.PromptTemplate instead. warnings.warn( Setting eos_token is not supported, use the default one. Setting pad_token is not supported, use the default one. Setting unk_token is not supported, use the default one. Loading checkpoint shards: 100%|██████████| 7/7 [00:01<00:00, 4.85it/s] {'input': 'how many meters in 30 km?', 'output': "Is there anything else you would like to ask or know? I'm here to help!"}

代码：（我的运行环境无法连外网，没法执行hub.pull） prompt_template: str = """ Respond to the human as helpfully and accurately as possible. You have access to the following tools:

{tools}

Use a json blob to specify a tool by providing an action key (tool name) and an action_input key (tool input).

Valid "action" values: "Final Answer" or {tool_names}

Provide only ONE action per $JSON_BLOB, as shown:

{{
  "action": $TOOL_NAME,
  "action_input": $INPUT
}}

Follow this format:

Question: input question to answer Thought: consider previous and subsequent steps Action:

$JSON_BLOB

Observation: action result ... (repeat Thought/Action/Observation N times) Thought: I know what to respond Action:

{{
  "action": "Final Answer",
  "action_input": "Final response to human"
}}

Begin! Reminder to ALWAYS respond with a valid json blob of a single action. Use tools if necessary. Respond directly if appropriate. Format is Action:```$JSON_BLOB```then Observation

PLACEHOLDER
chat_history

HUMAN
{input}

{agent_scratchpad}
(reminder to respond in a JSON blob no matter what)
"""
ODEL_PATH = "/root/lzl/ChatGLM3-main/down/"

if __name__ == "__main__":
    llm = ChatGLM3()
    llm.load_model(MODEL_PATH)
    prompt = PromptTemplate.from_template(prompt_template)     

    tools = [DistanceConverter()]
    agent = create_structured_chat_agent(llm=llm, tools=tools, prompt=prompt)
    agent_executor = AgentExecutor(agent=agent, tools=tools)
    ans = agent_executor.invoke({"input": "how many meters in 30 km?"})

    print(ans)

硬件：64核CPU，4个T4 GPU（每个16G显存）
软件：linux、ubuntu、transformers4.40.1、torch2.2.2、langchain0.1.16

@yinch

### Who can help? / 谁可以帮助到您？

_No response_

### Information / 问题信息

- [X] The official example scripts / 官方的示例脚本
- [ ] My own modified scripts / 我自己修改的脚本和任务

### Reproduction / 复现过程

复现步骤：
1. 代码如上所示
2. run

### Expected behavior / 期待表现

我希望是能调用到tool，给个正确结果，比如

{'input': 'how many meters in 30 km?', 'output': "30 000m!"}

[Lizhli2825]

坐等回复

[zRzRzRzRzRzRzR]

模板都不对。。。你直接复制那个pull下来的模板内容，如果你没法连网。现在这个模板连工具都传不进去