Handling large file content to comply with OpenAI API specifications

[florianbgt]

Description:

In the current implementation, the annotateOpenAICommandHandler function processes each file in the dependency tree by reading its entire content and sending it to the OpenAI API in a single request. This approach encounters issues when dealing with large files, as it may exceed the OpenAI API's maximum request size limitations.

napi/packages/cli/src/commands/annotate.ts

Line 6 in 4bbfc78

export default async function annotateOpenAICommandHandler(

Problem:

Transmitting large file contents in a single request can lead to errors or failures due to the OpenAI API's constraints on request sizes.

Objective:

Implement a mechanism to divide large file contents into smaller chunks, ensuring each chunk adheres to the OpenAI API's size specifications. This approach will facilitate successful processing of large files without exceeding API limitations.

Proposed Solution:

1. Determine Maximum Chunk Size: Identify the maximum allowable size for each chunk based on OpenAI's API specifications.
2. Implement Chunking Mechanism: Develop functionality to split large file contents into appropriately sized chunks.
3. Sequential Processing: Ensure that each chunk is processed in sequence, maintaining the integrity and order of the original content.