ClawRouter

Overview

ClawRouter is an agent-native LLM router designed to empower OpenClaw and other AI applications with powerful model routing capabilities. Through intelligent routing algorithms, it automatically distributes requests to the most suitable LLM providers, achieving an optimal balance between performance and cost. ClawRouter supports multiple mainstream LLM providers including OpenAI, Anthropic, Gemini, and DeepSeek, and integrates micropayment functionality supporting stablecoin payments (USDC).

Key Features

• Smart Routing: Automatically selects the optimal LLM model and provider based on request characteristics for the best performance-cost balance.
• Cost Optimization: Significantly reduces LLM invocation costs through intelligent routing and cost monitoring, improving resource efficiency.
• Multi-Provider Support: Integrates OpenAI, Anthropic, Gemini, DeepSeek, and other major LLM providers with flexible switching.
• Micropayment Integration: Supports stablecoin (USDC) payments for usage-based billing, providing flexible payment solutions for AI applications.
• High Availability: Provides fault tolerance and load balancing to ensure service availability and stability.
• Easy Integration: Offers simple APIs and SDKs for quick integration into existing systems.

Use Cases

• AI Agent Development: Provides a unified LLM access interface for AI agents, simplifying the development process.
• Multi-Model Applications: Applications requiring multiple LLM models can achieve unified management through the router.
• Cost-Sensitive Projects: Projects sensitive to LLM costs can reduce operational expenses through intelligent routing.
• Enterprise Deployment: Internal enterprise AI deployments requiring unified model management and access control.
• Micropayment Scenarios: AI applications requiring usage-based billing with stablecoin payment support.

Technical Highlights

• Developed in TypeScript with type-safe APIs and excellent developer experience.
• Modular architecture for easy extension of new LLM providers and routing strategies.
• Real-time monitoring and logging support for debugging and performance optimization.
• Rich configuration options to meet diverse scenario requirements.
• Active community support with continuous updates and feature improvements.