Bian Que: AI Agent Framework for Online System Operations
A new AI agent framework called Bian Que addresses operational challenges in large-scale online systems like search, recommendation, and advertising. The framework introduces a unified operational paradigm that abstracts day-to-day operations into three patterns: release interception, proactive inspection, and alert root cause analysis. It also features flexible skill arrangement to select relevant data and knowledge for each operational event, reducing dilution and hallucination. The work is published on arXiv with ID 2604.26805.
Key facts
- Bian Que is an agentic framework for online system operations.
- It targets search, recommendation, and advertising systems.
- The framework uses a unified operational paradigm with three patterns.
- Patterns: release interception, proactive inspection, alert root cause analysis.
- Flexible skill arrangement selects relevant data and knowledge per event.
- Aims to reduce dilution and hallucination from indiscriminate signal feeding.
- Published on arXiv with ID 2604.26805.
- Addresses deployment bottleneck of orchestration, not reasoning.
Entities
Institutions
- arXiv