OpenAI Agent Builder

by OpenAI

Visual canvas for composing, testing, versioning and exporting multi-agent workflows. See OpenAI AgentKit and OpenAI ChatKit.

TL;DR

Agent Builder is the visual core of OpenAI AgentKit — a drag-and-drop canvas for creating multi-node agent workflows with built-in guardrails, preview/testing, versioning, and export to SDK/ChatKit artifacts.

Key features

• Node types: Agents, Tools/Connectors, Logic (if/else), Loops, State, Approvals, Start/End, Document/File search, Eval nodes, and Guardrail checks.
• Preview & trace inspection: run flows in preview, inspect traces for debugging and grading.
• Versioning & collaboration: branch and version flows, share with stakeholders for review.
• Export: generate code for OpenAI ChatKit (frontend) and Agents SDKs (Python/TypeScript).
• Templates: pre-built enterprise patterns (support bot, KB Q&A, data enrichment).

Practical notes

• Start small: prototype a simple flow (search docs → summarize → respond) then add guardrails and evals.
• Use least-privilege connectors: when adding connectors from OpenAI AgentKit’s Connector Registry, scope permissions narrowly.
• Export when stable: export SDK/ChatKit code when you need to integrate with CI/CD or custom infra.

Who should use it

• Product teams and non-developers who need to design workflows collaboratively.
• Developers who want to accelerate iteration before coding the full integration with the Agents SDK.

Limitations

• Early-stage node types and fewer provider options compared to mature orchestration platforms.

Sources

• OpenAI announcement: “Introducing AgentKit” — https://openai.com/index/introducing-agentkit/