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OpenAI Launches AgentKit, a Full-Stack Toolkit for Building and Deploying AI Agents

The suite packages visual workflow design, embeddable chat, expanded evaluations, plus managed connectors to shorten the path from prototype to production.

Overview

  • Announced at Dev Day, the rollout makes ChatKit and new Evals generally available, puts Agent Builder into public beta, and begins a phased release of the Connector Registry to select enterprise and API customers under existing API pricing.
  • Agent Builder offers a drag-and-drop canvas for multi-agent workflows with nodes, templates, versioning, preview runs, inline evaluation, and publishable versions for rapid iteration.
  • For enterprise governance, the Connector Registry centralizes secure access to data sources such as Google Drive, Dropbox, SharePoint, and Microsoft Teams, and Guardrails provides PII masking and risky-behavior detection.
  • ChatKit supplies hosted or self-hosted chat components that handle streaming responses and thread management to embed agent conversations directly in apps with minimal frontend work.
  • Evals now includes datasets, trace grading, automated prompt optimization, and third-party model testing, with Reinforcement Fine-Tuning available on o4-mini and GPT-5 RFT in private beta; OpenAI also demonstrated a live build in under eight minutes as partners like Canva and Ramp report notable time savings.