Production-ready voice AI assistants you can import, customize, and deploy
A collection of example assistants, squads, and tooling built with Vapi — the platform for building voice AI agents. These examples are curated by Vapi forward-deployed engineers and follow best practices for production deployments.
Get started with the Quickstart Guide to build your first voice assistant in minutes.
Then explore:
- Dashboard — Sign up and manage your assistants
- API Reference — Full API documentation
- SDKs — Client libraries for Web, Python, and more
- CLI — Command-line tools for development
Once you understand the basics, import these examples into your organization and customize them for your use case.
Create a free account at dashboard.vapi.ai.
Browse the examples below and pick one that matches your use case.
Each example includes ready-to-use configurations. Import the assistant JSON into your Vapi dashboard, customize the prompts and tools, and you're ready to go.
Production-ready voice assistants for various industries and use cases.
| Example | Description | Key Features |
|---|---|---|
| Healthcare Scheduling | AI receptionist for medical clinics with full appointment management | Booking, rescheduling, cancellation, cal.com integration, n8n workflows |
| Multi-Intent Handler | Intent-based call routing with retrieval-augmented instructions | Dynamic instructions, multi-intent handling, live agent transfer |
| Voicemail Detection | Outbound calling assistant that detects voicemail systems and handles live contacts appropriately | Voicemail detection, live person handling, tool-based voicemail |
Manage your Vapi resources (Assistants, Tools, Structured Outputs) via Git using YAML as the source of truth. Get full version control, code review, and environment management for your voice AI infrastructure.
Key Benefits:
- 🔄 Full git history with blame and rollback
- 👀 PR review before changes go live
- 🌍 Environment parity (dev, staging, prod)
- 🤝 Team collaboration with branching
- 🔁 CI/CD automation ready
Currently Supports:
- ✅ Assistants
- ✅ Tools
- ✅ Structured Outputs
Each example follows a consistent structure:
example-name/
├── README.md # Detailed documentation
├── assistant.json # Vapi assistant configuration
├── assistant_request.json # Sample webhook response payload
├── tools/ # Tool definitions (API requests, functions)
└── recordings/ # Sample audio or demos (if applicable)
We welcome contributions! If you've built a great Vapi assistant, consider submitting it:
- Fork this repository
- Add your example following the structure above
- Include a detailed README with setup instructions
- Submit a pull request
- Documentation: docs.vapi.ai
- API Reference: docs.vapi.ai/api-reference
- Discord Community: Join Discord
- SDKs & Resources: docs.vapi.ai/resources
- Issues: Report bugs or request examples in GitHub Issues