Abstract
The present disclosure relates to a system and method for automating the resolution of incidents in enterprise environments through a modular multi-agent orchestration framework. The system includes an intelligent log processing engine that analyzes and cleanses enterprise logs to extract relevant error contexts, a repository intelligence agent that maps error stack traces to corresponding code files, and an incident analysis agent that identifies root causes while generating actionable insights. A code generation agent produces targeted code fixes based on these insights, while a conversational assistant provides real-time guidance and validation for developers. The framework implements a standardized communication protocol for integration with external tools and incorporates a self-learning knowledge base that evolves based on historical resolution data, enhancing overall efficiency in incident management processes.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Mishra, Soumendra Kumar and Ranjan, Amitabh, "METHOD AND SYSTEM FOR AUTOMATED INCIDENT LIFECYCLE MANAGEMENT WITH SELF-LEARNING AGENTS", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/8980