LangChain AI Debug Copilot

Example Use Cases

• 1

  Autonomously analyze and debug backend logs

• 2

  Integrate with Jira for issue tracking

• 3

  Multi-tool reasoning and retrieval-augmented generation

Description

This project implements AI agents leveraging LangChain and LangGraph to process application or API logs for error classification, root cause analysis, and fix suggestions. It conditionally creates Jira tickets when necessary, providing structured, typed JSON responses. The system integrates open-source LLMs and supports multi-step workflows, tool calling, and retrieval-augmented generation, making it ideal for learning and experimenting with modern GenAI agent architectures.