Unified AI Model Router API with Provider Failover
Developers building AI products juggle multiple provider SDKs, rate limits, and fragile integrations. A unified API that routes requests to the best model per task, handles failover across providers, and encrypts API keys per-user lets teams ship AI features with three lines of code instead of managing provider infrastructure.
Problem Statement
A typical AI product team maintains separate integrations with OpenAI, Anthropic, Google, and Mistral. When OpenAI rate-limits during peak hours, the application errors out instead of falling back to an alternative. Each provider has different SDKs, auth patterns, and streaming formats. Teams spend 2-3 weeks building and maintaining this glue code.
The Idea
A unified AI model routing API for developers who need reliable multi-provider access without managing separate SDK integrations and failover logic.
Why Now
The number of commercially available AI model providers grew from 5 to 15+ in the past 12 months. Developers now face vendor lock-in risk, rate limit fragility, and per-provider billing complexity. OpenAI-compatible API standards made routing feasible, but no dominant open-source router has emerged for production use.
Target User
Backend engineers and AI product teams at startups and mid-stage companies building applications that call LLM APIs
Target Market
AI infrastructure and developer tools for LLM-powered applications
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