Build AI-powered apps at lightning speed
A complete toolkit for shipping AI features. Multi-model support, streaming responses, prompt management, and usage analytics -- all preconfigured and ready to deploy.
50M+
API Requests / Month
12ms
Average Latency
99.99%
Uptime SLA
3,200+
Developers
Built for AI-native applications
Every feature you need to ship AI-powered products, from model management to usage analytics.
- 1,000 API requests/month
- 2 AI models
- Community support
- Basic analytics
- Single project
- 50,000 API requests/month
- All AI models
- Streaming support
- Prompt templates
- Usage analytics
- Priority support
- Unlimited API requests
- All AI models
- Custom fine-tuning
- Advanced analytics
- Team management
- SLA guarantee
- Dedicated support
We integrated GPT-4 into our product in a single afternoon. The streaming hooks and prompt management saved us weeks of work.
Alex Kim
@alexkimdev
The multi-model support is a game changer. We run Claude for complex reasoning and GPT-4 for quick completions without changing any code.
Rachel Torres
@racheltdev
Usage tracking and cost controls were our biggest worry with AI. This toolkit solved both problems out of the box.
David Okafor
@dokafor_ai
Finally, a toolkit that handles streaming properly. Token-by-token rendering with proper error handling and retries.
Lisa Huang
@lisahuangml
Frequently Asked Questions
LaunchKit supports OpenAI (GPT-4, GPT-4o), Anthropic (Claude 3.5, Claude 4), Google (Gemini Pro, Gemini Ultra), and any OpenAI-compatible API endpoint including local models via Ollama.
We use Server-Sent Events for real-time streaming. The included React hooks handle connection management, buffering, and error recovery. Works with Next.js Server Actions and API routes.
Yes. You can use your own API keys for any provider, or let your users bring their own keys. The key management system supports both patterns with secure encryption at rest.
Yes, LaunchKit is fully self-hostable. Deploy to your own infrastructure with Docker. No external dependencies or vendor lock-in required.
Built-in rate limiting works at multiple levels: per-user, per-API-key, and per-model. You can configure limits via environment variables or the admin dashboard.
All data stays on your infrastructure. We never proxy your API calls or store your prompts. The toolkit runs entirely in your own environment.
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