请教个问题哈 谢谢—— chatglm3的langchian demo中，invoke()后会调用两次ChatGLM3.py的_call()，请问下这个是怎么跳转到第二次_call函数的？

[willwilling]

[willwilling]

不好意思 实在是没看懂这块是怎么玩的 劳烦解答下哈

[willwilling]

【_call两次的调用栈都是一样的。可是在main.py中只显式调用agent_executor.invoke({"input": "34 * 34"})一次】
*********Calculator
tools
create_structured_chat_agent
AgentExecutor1
_call
File "E:\04_proj\chatglm3\ChatGLM3\langchain_demo\main.py", line 78, in
ans = agent_executor.invoke({"input": "34 * 34"})
File "E:\01_sw_install\conda\envs\chatglm3-demo\lib\site-packages\langchain\chains\base.py", line 156, in invoke
self._call(inputs, run_manager=run_manager)
File "E:\01_sw_install\conda\envs\chatglm3-demo\lib\site-packages\langchain\agents\agent.py", line 1329, in _call
next_step_output = self._take_next_step(
File "E:\01_sw_install\conda\envs\chatglm3-demo\lib\site-packages\langchain\agents\agent.py", line 1055, in _take_next_step
[
File "E:\01_sw_install\conda\envs\chatglm3-demo\lib\site-packages\langchain\agents\agent.py", line 1055, in
[
File "E:\01_sw_install\conda\envs\chatglm3-demo\lib\site-packages\langchain\agents\agent.py", line 1083, in _iter_next_step
output = self.agent.plan(
File "E:\01_sw_install\conda\envs\chatglm3-demo\lib\site-packages\langchain\agents\agent.py", line 386, in plan
output = self.runnable.invoke(inputs, config={"callbacks": callbacks})
File "E:\01_sw_install\conda\envs\chatglm3-demo\lib\site-packages\langchain_core\runnables\base.py", line 1774, in invoke
input = step.invoke(
File "E:\01_sw_install\conda\envs\chatglm3-demo\lib\site-packages\langchain_core\runnables\base.py", line 3596, in invoke
return self.bound.invoke(
File "E:\01_sw_install\conda\envs\chatglm3-demo\lib\site-packages\langchain_core\language_models\llms.py", line 230, in invoke
self.generate_prompt(
File "E:\01_sw_install\conda\envs\chatglm3-demo\lib\site-packages\langchain_core\language_models\llms.py", line 525, in generate_prompt
return self.generate(prompt_strings, stop=stop, callbacks=callbacks, **kwargs)
File "E:\01_sw_install\conda\envs\chatglm3-demo\lib\site-packages\langchain_core\language_models\llms.py", line 698, in generate
output = self._generate_helper(
File "E:\01_sw_install\conda\envs\chatglm3-demo\lib\site-packages\langchain_core\language_models\llms.py", line 549, in _generate_helper
self._generate(
File "E:\01_sw_install\conda\envs\chatglm3-demo\lib\site-packages\langchain_core\language_models\llms.py", line 1136, in _generate
else self._call(prompt, stop=stop, **kwargs)
File "E:\04_proj\chatglm3\ChatGLM3\langchain_demo\ChatGLM3.py", line 129, in _call
traceback.print_stack()
Action
{'action': 'Calculator', 'action_input': {'calculation': '3434'}}
Answer
_call
File "E:\04_proj\chatglm3\ChatGLM3\langchain_demo\main.py", line 78, in
ans = agent_executor.invoke({"input": "34 * 34"})
File "E:\01_sw_install\conda\envs\chatglm3-demo\lib\site-packages\langchain\chains\base.py", line 156, in invoke
self._call(inputs, run_manager=run_manager)
File "E:\01_sw_install\conda\envs\chatglm3-demo\lib\site-packages\langchain\agents\agent.py", line 1329, in _call
next_step_output = self._take_next_step(
File "E:\01_sw_install\conda\envs\chatglm3-demo\lib\site-packages\langchain\agents\agent.py", line 1055, in _take_next_step
[
File "E:\01_sw_install\conda\envs\chatglm3-demo\lib\site-packages\langchain\agents\agent.py", line 1055, in
[
File "E:\01_sw_install\conda\envs\chatglm3-demo\lib\site-packages\langchain\agents\agent.py", line 1083, in _iter_next_step
output = self.agent.plan(
File "E:\01_sw_install\conda\envs\chatglm3-demo\lib\site-packages\langchain\agents\agent.py", line 386, in plan
output = self.runnable.invoke(inputs, config={"callbacks": callbacks})
File "E:\01_sw_install\conda\envs\chatglm3-demo\lib\site-packages\langchain_core\runnables\base.py", line 1774, in invoke
input = step.invoke(
File "E:\01_sw_install\conda\envs\chatglm3-demo\lib\site-packages\langchain_core\runnables\base.py", line 3596, in invoke
return self.bound.invoke(
File "E:\01_sw_install\conda\envs\chatglm3-demo\lib\site-packages\langchain_core\language_models\llms.py", line 230, in invoke
self.generate_prompt(
File "E:\01_sw_install\conda\envs\chatglm3-demo\lib\site-packages\langchain_core\language_models\llms.py", line 525, in generate_prompt
return self.generate(prompt_strings, stop=stop, callbacks=callbacks, **kwargs)
File "E:\01_sw_install\conda\envs\chatglm3-demo\lib\site-packages\langchain_core\language_models\llms.py", line 698, in generate
output = self._generate_helper(
File "E:\01_sw_install\conda\envs\chatglm3-demo\lib\site-packages\langchain_core\language_models\llms.py", line 549, in _generate_helper
self._generate(
File "E:\01_sw_install\conda\envs\chatglm3-demo\lib\site-packages\langchain_core\language_models\llms.py", line 1136, in _generate
else self._call(prompt, stop=stop, **kwargs)
File "E:\04_proj\chatglm3\ChatGLM3\langchain_demo\ChatGLM3.py", line 129, in _call
traceback.print_stack()

invoke1
{'input': '34 * 34', 'output': '34 * 34 = 1156'}