OpenAI AgentKit
Official OpenAI kit for designing, evaluating, and deploying AI agents
Description
OpenAI AgentKit is OpenAI's official toolkit for building AI agents in production, introduced in October 2025 and fully active as of April 2026. It includes Agent Builder (visual workflow canvas), ChatKit (conversational UI components), Connector Registry (connectors for external tools), and an Evals system to measure and optimize agents. It's built on top of the Responses API and works as a high-level layer over the open-source Agents SDK. It's not deprecated: the product being deprecated in 2026 is the old Assistants API, which will be retired on August 26, 2026. AgentKit represents OpenAI's official bet for agent development throughout 2026.
Preview

Detailed Evaluation
Key advantages
Visual Agent Builder
Lets you design agent workflows by dragging nodes, with versioning and one-click deployment to OpenAI-managed endpoints.
ChatKit: ready-to-use conversational UI
Chat components embeddable in any website or app, with streaming, tool-calls, and built-in citations.
Built-in Evals
Official evaluation system that lets you measure and optimize agent quality with reproducible datasets and metrics.
Immediate access to frontier models
Native integration with the latest GPT, o-series reasoners, and multimodal capabilities without friction.
Complements the open-source Agents SDK
AgentKit is the high-level layer; the Agents SDK is open source, letting you drop down to the details when you need flexibility.
Limitations to consider
Lock-in with the OpenAI ecosystem
Although the SDK is open source, most of the value (Agent Builder, ChatKit, Connector Registry) lives inside the OpenAI ecosystem.
Confusion with the deprecated Assistants API
OpenAI is retiring the Assistants API on August 26, 2026, forcing many teams to migrate to Responses API + AgentKit.
Token costs hard to predict
Agents with long reasoning can blow up costs; requires active monitoring and solid evals.
Still limited enterprise certifications
Some heavily regulated organizations still prefer solutions with more data residency options.
Standout Feature
AgentKit is the only official suite that unites visual design (Agent Builder), conversational UI (ChatKit), connectors (Connector Registry), and evaluation (Evals) in one product, all on top of OpenAI's frontier models and with direct vendor support.
Comparison with Alternatives
Against LangChain/LangGraph, AgentKit is more opinionated, more managed, and less portable across vendors. Against Cline or the raw Agents SDK, it trades flexibility for an integrated experience and an official OpenAI roadmap.
Ideal User
Product and engineering teams already using OpenAI who want an official path to ship agents to production with integrated UI, evals, and observability.
Learning Curve
Agent Builder is approachable, but understanding Responses API, tool-calls, and good eval practices does require experience.
Best For
- Teams already working with OpenAI models
- Rapid prototyping of conversational agents
- Products that need ChatKit as a ready-to-use UI
- Teams that want integrated evals in their workflow
Not Ideal For
- Multi-vendor teams that don't want to depend on OpenAI
- Use cases with strict on-premise requirements
- Projects with very tight token budgets