GH Repository · Agent-RL
ReCall
ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning & ReCall: Learning to Reason with Tool Call for LLMs via Reinforcement Learning
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agent-appPythonpythontool-usereinforcement-learningllmfunction-callingagent
ReCall is a Python project from the Agent-RL organization that trains LLMs to reason with tool calls via reinforcement learning, extending the earlier ReSearch approach that used search as the tool. The repository ships the ReCall implementation under an MIT licence.
You want a ready-made RL training setup for teaching LLMs to interleave reasoning with tool calls.
Use it to
- Train an LLM to reason with tool calls via RL
- Reproduce or extend the ReSearch search-based reasoning method
- Experiment with function-calling agents trained by reinforcement learning
- Study RL-based tool-use training pipelines in Python
For Researchers and engineers training tool-using LLM agents
- Role
- agent-app
- Language
- Python
- Licence
- MIT
- Forks
- 88
- Open issues
- 30
- Last push
- 2025-05-16
topicsreinforcement-learningtool-usefunction-callingllmagent