OpenAI has introduced AgentKit, a robust solution for developing, deploying, and refining AI agents, aimed primarily at developers and enterprise teams. This powerful stack includes the visual Agent Builder, an enterprise Connector Registry, and the ChatKit UI toolkit for embedding chat experiences. The Agent Builder features a user-friendly drag-and-drop interface, versioning, and templates for common workflows. The Connector Registry streamlines data source management across ChatGPT and APIs, while ChatKit enhances user interaction with threading and streaming capabilities. Additionally, the expanded Evals encompass datasets, trace grading, and prompt optimization for improved third-party model testing. Reinforcement fine-tuning is now available for enhanced training on o4-mini and in private beta for GPT-5. With availability commencing today, early users report faster build times and greater accuracy in production agents. OpenAI’s AgentKit presents an end-to-end solution for AI agent development, governance, deployment, and measurement, with more features expected soon.
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