LLM-Agent-Based Autonomous Root-Cause Diagnosis for Microservices

An LLM-agent-based system that diagnoses root causes in microservices autonomously.

An LLM-agent-based system that diagnoses root causes in microservices autonomously. This reference project walks through the whole job, from the problem and the design to the build and the evaluation, so that a developer can study how it works, run it and extend it.

It suits learners who want to run software the way production teams do: containers, automated pipelines, deployment, monitoring and rollback.

The main parts are cooperating agents with defined roles and tools, containerised services, an automated build, test and deploy pipeline, monitoring and alerting, and safe rollback. The reference build uses LLM APIs, Docker, Kubernetes, GitHub Actions, and Terraform, with a clear project structure, setup instructions and sample data so that it can be run and extended.