# I got tired of managing AI API keys, so I built Yantra AI > Source: > Published: 2026-07-31 07:02:33+00:00 Every time I wanted to experiment with a new LLM, the process looked like this: Create another account Add another billing method Generate another API key Learn another pricing model Change my code Hope the provider doesn't go down It wasn't hard—it was just repetitive. As an indie developer, I wanted to spend time building products, not managing AI providers. So I built Yantra AI. What is Yantra AI? Yantra AI is an AI routing gateway that lets you access multiple LLM providers through a single API key. Instead of managing separate integrations for OpenAI, Anthropic, Gemini, DeepSeek, Mistral, Grok, Qwen, and others, you integrate once. Your App │ ▼ Yantra AI │ ├── OpenAI ├── Anthropic ├── Gemini ├── DeepSeek ├── Mistral └── ... No SDK rewrites. No juggling API keys. No separate billing dashboards. Why I built it Three things kept bothering me: client = OpenAI( base_url="[https://api.apikeys.in/v1](https://api.apikeys.in/v1)", api_key="YOUR_API_KEY" ) response = client.chat.completions.create( model="claude-sonnet", messages=[ {"role": "user", "content": "Hello!"} ] ) That's it. Lessons from building it Building the routing engine was only half the challenge. The harder part was creating a developer experience that feels invisible. The best infrastructure is the one developers don't have to think about. What's next? I'm working on: More model providers Better routing strategies Analytics Team workspaces SDKs Streaming improvements I'd love your feedback If you're building with AI APIs, I'd love to know: What's the biggest pain point today? Which providers do you use most? What would make a routing gateway genuinely useful for you? I'm always open to suggestions and feature requests. Happy building! 🚀