ollama - 💡(How to fix) Fix Go back and solve the problem [2 comments, 2 participants]

Fix Plan

To address the issue of truncated responses when sending large code files, we can implement the following steps:

• Increase the response timeout to allow for longer processing times
• Split large code files into smaller chunks and process them sequentially
• Use a more efficient encoding scheme to reduce the response size

Here's an example of how you can modify your code to split large files into smaller chunks:

def process_code_file(code_file):
    chunk_size = 1000  # lines
    chunks = [code_file[i:i+chunk_size] for i in range(0, len(code_file), chunk_size)]
    responses = []
    for chunk in chunks:
        response = send_request(chunk)  # send request to Ollama API
        responses.append(response)
    return '\n'.join(responses)

def send_request(code_chunk):
    # implement your Ollama API request here
    pass

Alternatively, you can also consider using a streaming API or a callback-based approach to process large code files in chunks.

Verification

To verify that the fix worked, you can test the modified code with a large code file and check if the response is complete and accurate.

Extra Tips

• Make sure to adjust the chunk_size variable according to your specific use case and the limitations of the Ollama API.
• Consider implementing error handling and retries to handle any potential issues with the API requests.
• If you're still experiencing issues, try to investigate the Ollama API documentation for any specific guidelines on handling large requests.