Facing the issue related to AgentExecutor

[SasidharRegula]

{
"name": "AttributeError",
"message": "'function' object has no attribute 'invoke'",
"stack": "---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
Cell In[69], line 1
----> 1 result=agent_executor.invoke({"input": "What information does the PDF contain about Constitution of India"})
2 print(result)

File c:\Users\sasidhar.regula\Downloads\langchain\.conda\lib\site-packages\langchain\chains\base.py:170, in Chain.invoke(self, input, config, **kwargs)
168 except BaseException as e:
169 run_manager.on_chain_error(e)
--> 170 raise e
171 run_manager.on_chain_end(outputs)
173 if include_run_info:

File c:\Users\sasidhar.regula\Downloads\langchain\.conda\lib\site-packages\langchain\chains\base.py:160, in Chain.invoke(self, input, config, **kwargs)
157 try:
158 self._validate_inputs(inputs)
159 outputs = (
--> 160 self._call(inputs, run_manager=run_manager)
161 if new_arg_supported
162 else self._call(inputs)
163 )
165 final_outputs: Dict[str, Any] = self.prep_outputs(
166 inputs, outputs, return_only_outputs
167 )
168 except BaseException as e:

File c:\Users\sasidhar.regula\Downloads\langchain\.conda\lib\site-packages\langchain\agents\agent.py:1629, in AgentExecutor._call(self, inputs, run_manager)
1627 # We now enter the agent loop (until it returns something).
1628 while self._should_continue(iterations, time_elapsed):
-> 1629 next_step_output = self._take_next_step(
1630 name_to_tool_map,
1631 color_mapping,
1632 inputs,
1633 intermediate_steps,
1634 run_manager=run_manager,
1635 )
1636 if isinstance(next_step_output, AgentFinish):
1637 return self._return(
1638 next_step_output, intermediate_steps, run_manager=run_manager
1639 )

File c:\Users\sasidhar.regula\Downloads\langchain\.conda\lib\site-packages\langchain\agents\agent.py:1335, in AgentExecutor._take_next_step(self, name_to_tool_map, color_mapping, inputs, intermediate_steps, run_manager)
1326 def _take_next_step(
1327 self,
1328 name_to_tool_map: Dict[str, BaseTool],
(...)
1332 run_manager: Optional[CallbackManagerForChainRun] = None,
1333 ) -> Union[AgentFinish, List[Tuple[AgentAction, str]]]:
1334 return self._consume_next_step(
-> 1335 [
1336 a
1337 for a in self._iter_next_step(
1338 name_to_tool_map,
1339 color_mapping,
1340 inputs,
1341 intermediate_steps,
1342 run_manager,
1343 )
1344 ]
1345 )

File c:\Users\sasidhar.regula\Downloads\langchain\.conda\lib\site-packages\langchain\agents\agent.py:1335, in (.0)
1326 def _take_next_step(
1327 self,
1328 name_to_tool_map: Dict[str, BaseTool],
(...)
1332 run_manager: Optional[CallbackManagerForChainRun] = None,
1333 ) -> Union[AgentFinish, List[Tuple[AgentAction, str]]]:
1334 return self._consume_next_step(
-> 1335 [
1336 a
1337 for a in self._iter_next_step(
1338 name_to_tool_map,
1339 color_mapping,
1340 inputs,
1341 intermediate_steps,
1342 run_manager,
1343 )
1344 ]
1345 )

File c:\Users\sasidhar.regula\Downloads\langchain\.conda\lib\site-packages\langchain\agents\agent.py:1420, in AgentExecutor._iter_next_step(self, name_to_tool_map, color_mapping, inputs, intermediate_steps, run_manager)
1418 yield agent_action
1419 for agent_action in actions:
-> 1420 yield self._perform_agent_action(
1421 name_to_tool_map, color_mapping, agent_action, run_manager
1422 )

File c:\Users\sasidhar.regula\Downloads\langchain\.conda\lib\site-packages\langchain\agents\agent.py:1442, in AgentExecutor._perform_agent_action(self, name_to_tool_map, color_mapping, agent_action, run_manager)
1440 tool_run_kwargs["llm_prefix"] = ""
1441 # We then call the tool on the tool input to get an observation
-> 1442 observation = tool.run(
1443 agent_action.tool_input,
1444 verbose=self.verbose,
1445 color=color,
1446 callbacks=run_manager.get_child() if run_manager else None,
1447 **tool_run_kwargs,
1448 )
1449 else:
1450 tool_run_kwargs = self._action_agent.tool_run_logging_kwargs()

File c:\Users\sasidhar.regula\Downloads\langchain\.conda\lib\site-packages\langchain_core\tools\base.py:689, in BaseTool.run(self, tool_input, verbose, start_color, color, callbacks, tags, metadata, run_name, run_id, config, tool_call_id, **kwargs)
687 if error_to_raise:
688 run_manager.on_tool_error(error_to_raise)
--> 689 raise error_to_raise
690 output = _format_output(content, artifact, tool_call_id, self.name, status)
691 run_manager.on_tool_end(output, color=color, name=self.name, **kwargs)

File c:\Users\sasidhar.regula\Downloads\langchain\.conda\lib\site-packages\langchain_core\tools\base.py:657, in BaseTool.run(self, tool_input, verbose, start_color, color, callbacks, tags, metadata, run_name, run_id, config, tool_call_id, **kwargs)
655 if config_param := _get_runnable_config_param(self._run):
656 tool_kwargs[config_param] = config
--> 657 response = context.run(self._run, *tool_args, **tool_kwargs)
658 if self.response_format == "content_and_artifact":
659 if not isinstance(response, tuple) or len(response) != 2:

File c:\Users\sasidhar.regula\Downloads\langchain\.conda\lib\site-packages\langchain_core\tools\simple.py:92, in Tool._run(self, config, run_manager, *args, **kwargs)
90 if config_param := _get_runnable_config_param(self.func):
91 kwargs[config_param] = config
---> 92 return self.func(*args, **kwargs)
93 msg = "Tool does not support sync invocation."
94 raise NotImplementedError(msg)

File c:\Users\sasidhar.regula\Downloads\langchain\.conda\lib\site-packages\langchain_core\tools\retriever.py:32, in _get_relevant_documents(query, retriever, document_prompt, document_separator, callbacks)
25 def _get_relevant_documents(
26 query: str,
27 retriever: BaseRetriever,
(...)
30 callbacks: Callbacks = None,
31 ) -> str:
---> 32 docs = retriever.invoke(query, config={"callbacks": callbacks})
33 return document_separator.join(
34 format_document(doc, document_prompt) for doc in docs
35 )

AttributeError: 'function' object has no attribute 'invoke'"
}
getting this as issue in my code Can you please help me resolve this issue