
HITL Approval State Machine Agent
HITL Approval State Machine Agent is an open-source Next.js JavaScript AI template by Suhas Bhairav. It uses the OpenAI Agents SDK with State Machine Designer and Approval Risk Reviewer to support hitl approval workflow state machine patterns and best practices.
Direct answer
HITL Approval State Machine Agent is a Next.js AI agents starter for OpenAI Agents SDK workflows, prompt analysis, research agents, and agentic AI prototypes. It is best when you need inspectable workflow steps rather than a simple chat-only interface.
Features
Use cases
Freshness and tested metadata
- last Tested
- Jul 17, 2026
- last Updated
- Jul 17, 2026
- next Version
- Next.js 16.2.1
- node Version
- Node.js 20+
- runtime
- Next.js App Router
- deployment
- Vercel-ready starter
- license
- MIT
- status
- Open Source
Architecture
Setup path
- 1Clone the GitHub repository linked above.
- 2Install dependencies with npm install.
- 3Create a local environment file from the example variables.
- 4Add the required AI provider API key on the server side.
- 5Run the local Next.js development server and test the primary workflow.
Related AI template categories
Internal template pathways
Frequently asked questions
What is HITL Approval State Machine Agent?
HITL Approval State Machine Agent is a Next.js AI agents starter for OpenAI Agents SDK workflows, prompt analysis, research agents, and agentic AI prototypes. It is best when you need inspectable workflow steps rather than a simple chat-only interface.
Who should use HITL Approval State Machine Agent?
Use HITL Approval State Machine Agent if you are a Next.js developer, AI product builder, applied AI engineer, or founder looking for an open-source AI app starter instead of rebuilding the same AI interface and server route from scratch.
Is HITL Approval State Machine Agent production-ready?
This starter is production-grade in its AI safety baseline: prompts are hardened against prompt-injection attempts, provider calls stay server-side, unsafe inputs are constrained, and client-facing errors are kept safe. You should still expand it for your use case by adding or adapting authentication, tenant isolation, persistent storage, observability, quotas, billing, and business-specific policy checks before a real launch.