Requesty: Production-Grade LLM Router
The intelligent LLM router for AI platform teams, MLEs, and Heads of AI. Route requests across 500+ models with automatic failover, cost optimization, and latency-based routing. Drop-in OpenAI SDK replacement.
What is LLM Routing?
LLM routing intelligently distributes AI requests across multiple models and providers based on cost, latency, quality, and availability. Instead of hard-coding a single model, Requesty automatically selects the optimal model for each requestâenabling failover, A/B testing, cost optimization, and performance tuning without code changes.
Measurable Impact on Your AI Infrastructure
Real improvements our customers see when switching to Requesty's LLM router
Automatic routing to cost-effective models for simple queries while reserving premium models for complex tasks
Automatic failover across providers eliminates single points of failureâif OpenAI goes down, instantly switch to Anthropic or Google
Latency-based routing automatically selects the fastest models for your region and workload
Drop-in OpenAI SDK replacementâchange your base URL and API key, no other code changes needed
Smart Model Selection
Automatically routes to the best model based on your task, balancing performance and cost.
Streaming Support
Real-time token streaming for faster responses and better user experience.
Privacy First
Configurable data retention and privacy settings for each provider.
Cost Optimization
Intelligent caching and routing to minimize costs while maintaining performance.
Structured Output
Consistent JSON responses across all models with automatic validation.
Advanced Features
Support for vision, tool use, and other model-specific capabilities.
Frequently Asked Questions
Is Requesty an LLM router?
Yes. Requesty is a production-grade LLM router that intelligently routes requests across 500+ AI models from providers like OpenAI, Anthropic, Google, and AWS Bedrock.
Does Requesty support automatic failover?
Yes. Requesty automatically fails over to backup models when primary models are unavailable, rate-limited, or slowâensuring 99.9% uptime for your AI applications.
How is Requesty different from OpenAI's API?
Requesty is a drop-in OpenAI SDK replacement that routes across 500+ models from multiple providers (not just OpenAI). You get automatic failover, load balancing, cost optimization, and latency-based routingâfeatures OpenAI doesn't provide.
What models and providers does Requesty support?
Requesty supports 500+ models from OpenAI (GPT-4, GPT-3.5), Anthropic (Claude), Google (Gemini), AWS Bedrock, Azure OpenAI, Cohere, Meta (Llama), Mistral, and more. Full list at /solution/llm-routing/models.
How do I migrate from direct provider SDKs to Requesty?
Change your base URL to Requesty's endpoint and use your Requesty API key. For OpenAI SDK: client = OpenAI(base_url='https://router.requesty.ai/v1', api_key='your-requesty-key'). That's itâno other code changes needed. You can always implement your own fallback strategies on top of Requesty.
Does Requesty support streaming responses?
Yes. Requesty fully supports streaming (SSE) for real-time token-by-token responses across all compatible models.
Can I use Requesty for regional routing and data residency?
Yes. Requesty supports geographic routingâfilter models by region (US, EU, Asia) to meet data residency requirements (GDPR, HIPAA, SOC 2).
Can I implement my own fallback logic with Requesty?
Absolutely. Requesty is just a routerâyou can always implement your own fallback strategies, retry logic, or error handling on the client side. Use Requesty's routing policies for automatic failover, or build custom logic that fits your specific needs.
Available Models
Access to all major AI models through a single API