AI Chatbot to Guide User Workflow

While Jenkins is the backbone of modern CI/CD, troubleshooting failed builds and complex configurations remains a time-consuming bottleneck. This project develops a Diagnostic AI Chatbot plugin to drastically reduce this friction, minimizing debugging time and maximizing developer productivity. Powered by an advanced Retrieval-Augmented Generation (RAG) architecture, the agent leverages LangGraph and hybrid search to intelligently filter noisy build logs, cross-referencing them with official documentation and community discussions in order to deliver precise root-cause analysis and actionable fixes. Architecturally, it utilizes a decoupled FastAPI backend, ensuring zero computational overhead on the Jenkins Controller. The system is highly flexible: it is designed with a privacy-first approach optimized for local open-source LLMs, while seamlessly supporting integration with third-party commercial APIs. This allows administrators to effortlessly toggle between absolute data privacy and frontier model performance based on their infrastructure needs.