joshprk/agentrec
End-to-end training methodology for agent recommendation system
This helps identify the best AI agent for a specific user request in multi-agent systems. You provide a list of available AI agents and example prompts they can handle, and the system recommends the most suitable agent for a new, unseen user prompt. This is useful for developers and system architects building and managing applications powered by multiple specialized LLM agents.
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Use this if you need to dynamically match incoming user prompts to the most capable AI agent from a pool of many, rather than hardcoding agent assignments.
Not ideal if you only have one AI agent or if your agent selection logic is based on simple rules that don't require semantic understanding of user prompts.
Stars
9
Forks
2
Language
Python
License
MIT
Category
Last pushed
Feb 02, 2025
Commits (30d)
0
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