Browser use integration issues

# Test browser-use functionality from langchain_ollama import ChatOllama from browser_use import Agent from pydantic import SecretStr import asyncio # Initialize the model llm=ChatOllama(model="mistral", num_ctx=32000) async def main(): task = 'go to danielkliewer.com and tell me what it is about' model = llm agent = Agent(task=task, llm=model) history = await agent.run() print(history) if __name__ == '__main__': asyncio.run(main())

Your code is structured well, but I noticed a few potential issues: 1. **Missing `browser_use` package**: Ensure that `browser_use.Agent` is a valid class from an installed package. If this is a custom module, verify that it is correctly implemented. 2. **`Agent` Instantiation**: Does `Agent` support `task` and `llm` as parameters? Double-check the expected arguments. 3. **Long Context Size**: `num_ctx=32000` might not be supported by `mistral`. Most versions of `Mistral` max out at `8K` or `16K`. Check if your model supports this. 4. **Potential Async Issues**: Some libraries (like LangChain) may have compatibility issues when running inside an event loop with `asyncio.run()`. ### **Debugging Steps** 1. Install dependencies if you haven't: ```bash pip install langchain_ollama browser_use ``` 2. Verify that `browser_use.Agent` works correctly. Try a simple test: ```python agent = Agent(task="test task", llm=llm) print(agent) ``` 3. Reduce `num_ctx` to a safe value like `4096` or `8192` to avoid model issues. Would you like help troubleshooting further?