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
