Powered by GPT-4, Claude & Gemini

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.

Multi-Model Support
Switch between OpenAI, Anthropic, Google, and open-source models with a single config change. Unified API for all providers.
Streaming Responses
Real-time streaming with Server-Sent Events. Built-in React hooks for smooth, token-by-token rendering in the UI.
Prompt Templates
Version-controlled prompt templates with variable interpolation. A/B test different prompts and track performance.
Usage Tracking
Monitor token usage, costs, and latency per model. Set budget alerts and rate limits per user or API key.
API Key Management
Issue, rotate, and revoke API keys with fine-grained scopes. Per-key rate limiting and usage dashboards.
File Upload & RAG
Upload documents for retrieval-augmented generation. Built-in vector search with Pinecone or pgvector.
Hobby
For experiments and personal projects
$0/mo
  • 1,000 API requests/month
  • 2 AI models
  • Community support
  • Basic analytics
  • Single project
Most Popular
Developer
For shipping AI-powered products
$49/mo
  • 50,000 API requests/month
  • All AI models
  • Streaming support
  • Prompt templates
  • Usage analytics
  • Priority support
Scale
For teams and production workloads
$149/mo
  • 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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