OpenAI AgentKit is a complete platform for designing, building, and deploying agentic applications—combining a visual Agent Builder, a code-first Agents SDK, built-in tools, and evals so you can ship production-ready agents quickly and reliably.

Key Features:

• Visual-first Agent Builder with drag-and-drop nodes, versioning, and guardrails
• Code-first Agents SDK (Node, Python, Go) powered by the Responses API
• Built-in tools: web search, file search, image generation, code interpreter, and computer use
• Connectors & MCP servers to bring internal and external context into agents
• ChatKit for deploying fully integrated, customizable chat UIs
• Evals with custom graders, prompt optimization, and trace grading
• Observability, orchestration, and optimization primitives for reliable workflows
• Templates and best practices to go from prototype to production faster
• Enterprise-grade security, privacy, and policy controls

Use Cases:

• Customer support and billing assistants with tool-augmented retrieval
• Research and analysis agents that browse, cite, and synthesize sources
• Operations automations that read files, run code, and execute browser tasks
• Sales enablement and buyer agents embedded in product experiences
• Internal copilots for data lookup, document Q&A, and workflow execution
• Developer tooling that exposes safe, governed actions to end users

Benefits:

• Faster iteration with a single platform for build, deploy, and optimize
• Higher reliability through guardrails, evals, and end-to-end observability
• Reduced engineering effort using a type-safe SDK and reusable templates
• Production-ready UI via ChatKit without weeks of custom front-end work
• Better accuracy from built-in tools, connectors, and retrieval
• Scales from a single use case to organization-wide agentic workflows