5 things I wish I knew before building a GPT agent for log analysis

• langchain

  153 56,526 10.0 Python

  Discontinued ⚡ Building applications with LLMs through composability ⚡ [Moved to: https://github.com/langchain-ai/langchain] (by hwchase17)

  

I started with Langchain, but I had a hell of time debugging and tweaking the framework to suit my needs. Next, I shifted to Boxcars, which has fewer abstractions. While Boxcars was easier to understand, I still struggled when things behaved differently than I’d expected. Finally, I said screw it…I’m not doing that much:

• boxcars

  5 418 8.4 Ruby

  Building applications with composability using Boxcars with LLM's. Inspired by LangChain.

  

I started with Langchain, but I had a hell of time debugging and tweaking the framework to suit my needs. Next, I shifted to Boxcars, which has fewer abstractions. While Boxcars was easier to understand, I still struggled when things behaved differently than I’d expected. Finally, I said screw it…I’m not doing that much:

• Scout Monitoring

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• langchainrb

  16 1,140 9.6 Ruby

  Build LLM-powered applications in Ruby

  

@dliteful23 I loved your super detailed lessons-learned article! I'm the author of Langchain.rb, I would love to hear what you think of it if you get a chance to check it out. If there's anything that you'd like to see in the framework, please do let us know and we'll make sure to build it out if it aligns with the vision.

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