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To address the issue of unnecessary blank lines when using Gpt-4o or similar LLMs for writing long pieces of code, especially at the context window limit, consider adjusting the response_format parameter in your API call. Opting for a json_object format for responses might help in structuring the output more effectively, which could reduce the occurrence of blank lines. This format allows for parsing and formatting on the client side, giving you control over the output presentation, including handling blank lines.
Here's how you might adjust your API call:
response_format: json_object
Afterwards, on the client side, parse this JSON object and format it into your desired code output, managing blank lines as needed. This approach requires additional client-side handling to parse the JSON object and format it into code, but it offers more control over the output.
Regarding the context window limit, the Gpt-4o model in Dify version 0.6.8 has a token limit of 128,000. This limit is the maximum amount of information the model can consider for generating a response at any given time. The insertion of blank lines when this limit is reached is not explicitly documented, but adjusting the response format as suggested might mitigate the issue.
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Self Checks
Dify version
0.6.8
Cloud or Self Hosted
Self Hosted (Source)
Steps to reproduce
Make Gpt-4o or similar LLM's write long code. It looks like it just pushes a lot of blank lines when it reaches the context window?
✔️ Expected Behavior
Either stop at the context window or finish writing the code.
❌ Actual Behavior
a lot of blank lines (see video)
Coding.in.Dify.mp4
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