How can I resolve the '>=' TypeError between int and str in my LangChain job search script?

I'm developing a Python script that uses LangChain and OpenAI to search for machine learning jobs based on my CV, but I'm encountering an error:

Error searching for jobs: '>=' not supported between instances of 'int' and 'str'

PYTHONCopied
from langchain_openai import ChatOpenAI
from browser_use import Agent
import asyncio
from dotenv import load_dotenv
import json
import PyPDF2

# Load environment variables (e.g., OpenAI API key)
load_dotenv()

# Function to read a PDF CV
def read_pdf_cv(file_path):
    try:
        with open(file_path, "rb") as file:
            reader = PyPDF2.PdfReader(file)
            text = ""
            for page in reader.pages:
                page_text = page.extract_text()
                if page_text:  # Check if text extraction was successful
                    text += page_text
            return text
    except Exception as e:
        print(f"Error reading PDF: {e}")
        return ""

async def main():
    # Step 1: Read the CV
    cv_path = "my_cv.pdf"  # Replace with your CV file path
    cv_content = read_pdf_cv(cv_path)

    if not cv_content:
        print("No content extracted from CV. Exiting.")
        return

    print("CV Content Extracted:", cv_content)

    # Initialize the Agent
    agent = Agent(
        task=f"Read my CV and extract relevant information for ML job applications. CV content: {cv_content}",
        llm=ChatOpenAI(model="gpt-4"),
    )

    # Step 2: Search for ML jobs
    try:
        ml_jobs = await agent.run("Search for machine learning jobs based on the CV information.")
        print("Raw ML Jobs Data:", ml_jobs)

        # Ensure all job entries are dictionaries with consistent fields
        if isinstance(ml_jobs, list):
            for job in ml_jobs:
                if isinstance(job, dict):
                    # Normalize 'salary' field
                    if 'salary' in job:
                        try:
                            job['salary'] = int(job['salary'])  # Convert salary to int
                        except (ValueError, TypeError):
                            print(f"Invalid salary value for job: {job['salary']}. Setting to 0.")
                            job['salary'] = 0
                else:
                    print(f"Warning: Job entry is not a dictionary: {job}")
        else:
            print(f"Error: Expected 'ml_jobs' to be a list, but got {type(ml_jobs)}")
            return

    except Exception as e:
        print(f"Error searching for jobs: {e}")
        return

    # Step 3: Save the ML jobs to a file
    try:
        with open("ml_jobs.json", "w") as file:
            json.dump(ml_jobs, file, indent=4)
        print("ML jobs saved to 'ml_jobs.json'.")
    except Exception as e:
        print(f"Error saving jobs to JSON: {e}")

    # Step 4: Start applying for the jobs in new tabs
    for job in ml_jobs:
        try:
            apply_result = await agent.run(f"Apply for the ML job: {job}. If you need help, ask me.")
            print(f"Application Result for {job}:", apply_result)
        except Exception as e:
            print(f"Error applying for job {job}: {e}")

# Run the main function
if __name__ == "__main__":
    asyncio.run(main())

I'm seeing this error during the "Search for ML jobs" step, where the comparison (>=) seems to be used internally by the Agent (likely in the browser_use package). The error suggests that one of the operands—probably the parameter max_steps—is a string instead of an int, even though my code doesn't explicitly use >=.

Debugging Attempts:

• I printed the types and structure of ml_jobs to ensure it's a list of dictionaries and converted numeric fields like salary to int.
• I've checked that each job entry is a dictionary with appropriate fields.

Environment:

• Python version: 3.x
• Libraries: langchain-openai, browser-use, python-dotenv, PyPDF2
• OpenAI model: gpt-4

Questions:

• Why is the >= operator being used internally with a type mismatch, and what configuration might be causing this?
• Could a parameter like max_steps be inadvertently set as a string (perhaps via an environment variable)?
• What steps can I take to further debug and resolve this issue?

Additional Error Trace:

BASHCopied
Traceback (most recent call last):
  File "C:\Users\LENOVO\anaconda3\Lib\site-packages\browser_use\agent\service.py", line 468, in run
    for step in range(max_steps):
                ^^^^^^^^^^^^^^^^
TypeError: 'str' object cannot be interpreted 
 as an integer

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\browser-use\app.py", line 78, in <module>
    asyncio.run(main())
  File "C:\Users\LENOVO\anaconda3\Lib\asyncio\runners.py", line 194, in run
    return runner.run(main)
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\LENOVO\anaconda3\Lib\asyncio\runners.py", line 118, in run
    return self._loop.run_until_complete(task)           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^  File "C:\browser-use\app.py", line 44, in main
    ml_jobs = await agent.run("Search for machine learning jobs based on the CV information.")
              ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\LENOVO\anaconda3\Lib\site-packages\lmnr\openllmetry_sdk\decorators\base.py", line 107, in wrap
    return await fn(*args, **kwargs)
           ^^^^^^^^^^^^^^^^^^^^^^^^^
  File "C:\Users\LENOVO\anaconda3\Lib\site-packages\browser_use\agent\service.py", line 497, in run
    max_steps_reached=self.n_steps >= max_steps,
                      ^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: '>=' not supported between instances of 'int' and 'str'

Any guidance on resolving this parameter type mismatch or additional debugging steps is greatly appreciated.