Manage AI sprawl with an autonomous governance engine. This system monitors entire Open WebUI ecosystem, automatically generating and updating professional user manuals for every new or modified AI Agent (a.k.a. Model).

• The Core Mission: It ensures that your internal "Knowledge Base" is always in sync with your "Agent Library." By synthesizing technical prompts into user-friendly guides, it enables a secondary "Meta-Agent" to accurately recommend the right tool for any specific user request.
• Key Value: Zero manual documentation. 100% discoverability

Technical Highlights:

• Automated Agent Discovery: Uses sophisticated Code Fields and Build Map logic to handle model list, together with the Open WebUI backend API request, to detect new, modified, or updated AI Models in real-time.
• Intelligent Documentation Synthesis: Uses LLMs to reverse-engineer complex system prompts into structured Markdown manuals, including "Use Cases," "Capabilities," and "Operational Constraints."
• Stateful Change Tracking: Features a clever "State Comparison" logic to ensure manuals are only regenerated when actual changes are detected, optimizing API costs and preventing redundant updates.
• Vector-Ready Knowledge Injection: Automatically pushes synthesized manuals into a centralized "Knowledge" collection, creating a searchable index for Intent-Based Agent Recommendation.