OrcaRouter

About OrcaRouter

OrcaRouter functions as an AI gateway that bridges applications with over 200 AI models, leveraging embeddings and online learning to evaluate each prompt and intelligently route it to the most suitable model. By balancing factors such as capability, latency, cost, and policy compliance, it ensures optimal performance for every request. The platform provides a unified OpenAI-compatible endpoint, allowing developers to bypass the complexities of model selection and focus on application development without worrying about underlying model performance or availability issues. OrcaRouter includes programmable routing rules through a domain-specific language, enabling users to define custom logic for prompt routing. It also features guardrails and an agent firewall to enforce governance policies, ensuring compliance and security across deployments. Comprehensive observability tools, such as per-prompt receipts and real-time spend tracking, provide transparency into usage and costs. The tool supports both pay-as-you-go and subscription pricing models, accommodates user-provided provider keys, and offers an open-source Lite edition for teams prioritizing vendor-agnostic reliability and centralized safety analytics.

Key features

• ✓Adaptive LLM routing using embeddings and contextual bandits
• ✓Single OpenAI-compatible endpoint for 200+ models
• ✓Programmable routing rules and DSL for custom logic
• ✓Guardrails and agent firewall for governance
• ✓Observability and fallback chains for reliability
• ✓Open-source Lite edition available
• ✓Centralized safety and analytics for production AI
• ✓Vendor-agnostic model selection
• ✓Cost and latency optimization per request
• ✓Policy-based routing controls

Use cases

• ✓Optimizing inference costs across multiple AI model providers
• ✓Ensuring high availability and reliability in production AI applications
• ✓Centralizing governance and safety controls for LLM-powered services

Frequently asked questions about OrcaRouter