Requesty

Requesty is a unified LLM platform that routes API requests to over 300 models from providers like OpenAI, Anthropic, and Google, optimizing for performance and cost. It integrates with existing workflows — requiring only a base URL change in clients like OpenAI’s SDK. The platform supports Python and JavaScript, offering features like Smart Routing, observability, and enterprise-grade controls. Its 99.99% uptime SLA ensures reliability, with failover mechanisms switching providers in under 50ms.

Smart Routing automatically selects the best model based on task requirements, cost, or availability. For example, a request for OpenAI’s GPT-4o or Anthropic’s Claude 3.5 Sonnet is routed to the most efficient provider. Observability tools provide real-time metrics on latency, cost, and model performance, accessible via a dashboard. The Approved Models feature allows admins to restrict teams to a curated model list, ensuring compliance and cost control.

Users appreciate the platform’s cost optimization, with reports of up to 80% savings through intelligent routing and caching. The Model Library, accessible after login, lists over 300 models, filterable by price or context window. Streaming support for Server-Sent Events enables real-time responses, ideal for chat applications. Requesty’s API normalizes schemas across providers, simplifying integration.

Compared to LangChain, which focuses on workflow orchestration, Requesty excels in model access and routing. LlamaIndex prioritizes data indexing, while Requesty emphasizes provider redundancy and analytics. However, setup requires technical know-how, which may challenge beginners. Smaller teams might find enterprise features like Approved Models unnecessary. Provider outages, while mitigated, can still impact performance.

To get started, sign up at Requesty’s dashboard, grab an API key, and test with free credits. Focus on the documentation for code examples, and use the analytics dashboard to monitor costs and performance.