Introducing the SOP-driven LLM agent frameworks

Introduced an LLM agent framework that leverages Standard Operating Procedures (SOPs) represented as a tree structure for guided AI execution. The framework includes an SOP editor for non-technical users, a planner module using Depth-First Search (DFS) with backtracking, an LLM-powered worker agent with context compression and API tool limitations, and a user agent for multilingual interaction. Features like Graph Retrieval-Augmented Generation (GRAG), workflow chaining, and a plugin system (API, Python, SQL) are also included. The framework demonstrated high accuracy (over 99.8%) in use cases like Account Takeover Investigations (ATI) and fraud investigation, significantly reducing investigation time and average handling time.