Agent RFT enables reasoning models to become even more powerful, tool-using agents by training directly on the workflows they will execute in production. By operating on agent rollouts, reasoning models can call tools, generate intermediate reasoning steps, and receive real-time feedback via customer-provided endpoints. This Build Hour will walk through the preparation, infrastructure, and safety oversight to use Agentic RFT.
Theophile Sautory (Applied AI) and William Hang (API Engineering) cover:
• Improving agent performance with optimization and fine-tuning options
• Key differences between Base RFT and Agentic RFT
• New additions and how Agent RFT works
• Task setup and live demos training with tools
• Customer spotlight on Cognition with Sampriti Panda (Research Engineer)
• Success stories featuring Ambience, Genspark, Mako, and Rogo
• Live Q&A
Agent RFT Interest Form: https://tinyurl.com/agentRFT
Follow along with the code repo: https://github.com/openai/build-hours
Sign up for upcoming live Build Hours: https://webinar.openai.com/buildhours/
00:00 Introduction
01:34 Intro to Agent RFT
11:12 Task Setup
14:15 Demos: Training with Tools
31:33 Best Practices
35:15 Customer Spotlight: Cognition
44:58 Success Stories
51:16 Summary
52:33 Q&A