lupantech/AgentFlow

项目介绍

AgentFlow is a trainable, tool-integrated agentic framework designed to overcome the scalability and generalization limits of today’s tool-augmented reasoning approaches.

Unlike prevailing approaches such as Search-R1 which train a single LLM to interleave reasoning steps with tool calls, AgentFlow introduces a modular agentic system with four specialized modules: 🧭 Planner, 🛠 Executor, ✅ Verifier, and ✍️ Generator.

For effective planning and tool use, the framework directly optimizes planner agent within the system in an online fashion using Flow-based Group Refined Policy Optimization (Flow-GRPO), achieving superior performance across diverse domains with improved tool-calling…

摘自 github.com/lupantech/AgentFlow