When you request code generation from a large language model, there are a few reasons why the code might get truncated or why only one message is generated instead of multiple:
Token Limit: Language models have a maximum token limit for each response. The model will truncate the response if your request's code exceeds this limit. For example, if the limit is 2048 tokens and your code exceeds this, the model will only generate up to the limit and cut off the rest.
Message Length: If you ask for the code to be sent in multiple messages, the model might not always handle the request perfectly. The model generates responses based on the input it receives, and it might not always understand how to correctly split the code into multiple parts.
Context Management: The model must maintain context between messages when generating code in multiple parts. If the context is not managed correctly, the model might not continue from where it left off, leading to incomplete code.
Complexity of the Request: The model might struggle to break down the response into multiple messages if the request is complex or not specified.
To improve the chances of getting the complete code in multiple messages, you can try the following:
Request the answer only in some lines.
Simplify the Request: Break down your request into smaller, more manageable parts. Instead of asking for the entire code simultaneously, ask for specific sections or functions.
⚠️ Unfortunately, CodeGPT currently does not allow splitting the message into two parts, resulting in two separate interactions.