Build. Ship. Improve. Meet AgentKit
OpenAI has introduced AgentKit , a unified toolkit that turns the messy art of agent building into a disciplined, end-to-end workflow. Instead of juggling bespoke orchestration, ad-hoc eval scripts, and weeks of UI work, AgentKit bundles what teams need to build, deploy, and continuously improve production agents—on one stack. What’s in the box At the core are two complementary ways to build: Agent Builder , a visual canvas for composing workflows with drag-and-drop nodes, versioning, and guardrails; and the Agents SDK , a code-first framework available for Node, Python, and Go that targets the OpenAI Responses API. OpenAI positions the SDK as a type-safe library designed to cut boilerplate and speed up development. AgentKit doesn’t stop at authoring. It bakes in the plumbing that most teams end up reinventing: built-in tools (web search, file search, code interpreter, image generation, and computer use for browser actions), ChatKit to embed polished cha...