Sweep: **Performance and Scalability:**

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• [ ] 👍 Sweep Did Well
• [ ] 👎 Sweep Needs Improvement

  Description

  This pull request introduces caching for image understanding requests in our application, leveraging the GPT-4 with Vision model. It aims to improve the performance and scalability of our image understanding feature by reducing redundant requests to the OpenAI API for repeated queries. Additionally, it includes enhancements in error logging for better debugging and monitoring.

Summary

• Added caching functionality to handleImageUnderstandingRequest.js to store and retrieve responses for image understanding requests. This reduces the number of calls made to the OpenAI API, thus improving performance.
• Implemented serialization and deserialization of cache values in middleware/cache.js to ensure that objects are correctly stored and retrieved from the cache.
• Introduced structured logging with more context in error handling to aid in debugging and monitoring.
• Files Modified:
  • handleImageUnderstandingRequest.js: Added caching logic and structured error logging.
  • middleware/cache.js: Implemented serialization and deserialization in cache operations.
• New Dependencies:
  • ../middleware/cache: Utilized for caching responses to image understanding requests.

Fixes #17.

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Rollback Files For Sweep

• [ ] Rollback changes to middleware/cache.js
• [ ] Rollback changes to handleImageUnderstandingRequest.js

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Apply Sweep Rules to your PR?

• [ ] Apply: All new business logic should have corresponding unit tests.
• [ ] Apply: Refactor large functions to be more modular.
• [ ] Apply: Add docstrings to all functions and file headers.

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