Langchain Tools: TypeError: BaseTool.invoke() takes from 2 to 3 positional arguments but 4 were given about langchain

[mackong]

@Jeomon You should call invoke like this

shell_tool.invoke(input={"command": 'python sum.py', "script_args": None, "inputs": '5\n'})

[Jeomon]

[0:tasks] Starting step 0 with 1 task:

• start -> {'input': 'Writer Python program to Find the sum of two numbers and save this '
  'file in the current directory with the name sum.py and this program '
  'must take user input.'}
  [0:writes] Finished step 0 with writes to 1 channel:
• input -> ('Writer Python program to Find the sum of two numbers and save this file in '
  'the current directory with the name sum.py and this program must take user '
  'input.')
  [1:tasks] Starting step 1 with 1 task:
• coder -> {'input': 'Writer Python program to Find the sum of two numbers and save this '
  'file in the current directory with the name sum.py and this program '
  'must take user input.',
  'messages': []}

Entering new Python Code Agent chain...
Question: Write a Python program to find the sum of two numbers and save the file in the current directory with the name sum.py.
Thought: The program should take user input for the two numbers.
Action:

{
  "action": "Write Tool",
  "action_input": {
    "directory": "D:\\Personal Projects\\Python-Assistant",
    "file_name": "sum.py",
    "content": "num1 = int(input('Enter first number: '))\nnum2 = int(input('Enter second number: '))\nsum = num1 + num2\nprint('The sum of the two numbers is:', sum)"   
  }
}
```The sum.py successfully saved to D:\Personal Projects\Python-Assistant\sum.pyAction:

{
"action": "Final Answer",
"action_input": "The Python program to find the sum of two numbers has been successfully written and saved as sum.py in the current directory. You can run the program by executing python sum.py in the command line."
}

> Finished chain.
[1:writes] Finished step 1 with writes to 2 channels:
- input -> ('Writer Python program to Find the sum of two numbers and save this file in '
 'the current directory with the name sum.py and this program must take user '
 'input.')
- messages -> [HumanMessage(content='The Python program to find the sum of two numbers has been successfully written and saved as sum.py in the current directory. You can run the program by executing `python sum.py` in the command line.', name='Python Code Agent')]
[2:tasks] Starting step 2 with 1 task:
- executor -> {'input': 'Writer Python program to Find the sum of two numbers and save this '
          'file in the current directory with the name sum.py and this program '
          'must take user input.',
 'messages': [HumanMessage(content='The Python program to find the sum of two numbers has been successfully written and saved as sum.py in the current directory. You can run the program by executing `python sum.py` in the command line.', name='Python Code Agent')]}


> Entering new Python Executor Agent chain...
Could not parse LLM output: Action:

{
"action": "shell_tool",
"action_input": {
"command": "python sum.py",
"script_args": None,
"inputs": "2\n3\n"
}
}

The method you mentioned worked when I invoked it (in standalone without any llm the earlier case) but when I used it as tool for a react agent (executor agent) it is giving Invalid or incomplete responseCould not parse LLM output and then looping around this until the iteration limit is reached but the shell tool isn't invoked at all in that iterations.