smart-router

What This Skill Does

The OpenClaw Smart Router is an intelligent middleware layer for your AI agent infrastructure designed to minimize operational expenditures without sacrificing output quality. By acting as a sophisticated traffic controller between your requests and various LLM providers, it performs a real-time complexity analysis of every incoming prompt. Tasks are scored on a scale from 0.0 to 1.0; low-complexity queries are routed to cost-efficient models like Haiku or GPT-3.5, while high-stakes, reasoning-heavy tasks are routed to top-tier models like Opus or GPT-4. This automated orchestration eliminates the manual overhead of selecting models and prevents the common mistake of over-provisioning compute for trivial tasks, resulting in 30-50% documented cost savings.

Installation

To integrate this skill into your local OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/atlaspa/openclaw-smart-router

Ensure your OpenClaw CLI is updated to the latest version before installation to avoid dependency conflicts. Once installed, the router will automatically intercept configured calls, and you can verify the status via claw router stats.

Use Cases

• Automated Workflow Optimization: Ideal for agents that perform a mix of quick summarization tasks and deep analytical research.
• Budget-Conscious Development: Perfect for startups or individual developers aiming to scale agentic workflows while maintaining a strict monthly API spend.
• Multi-Model Orchestration: Useful for developers who want to leverage the specific strengths of multiple providers (Anthropic, OpenAI, Google) without managing API routing logic in their own code.

Example Prompts

1. "Analyze my current API usage and show me how much I saved by using the smart-router this week."
2. "Summarize this short paragraph for me, ensuring the most cost-effective model is used."
3. "Draft a detailed, multi-step technical architecture document for my new project, routing this to the most capable model available."

Tips & Limitations

• Pro Tier Advantage: If your application handles high-volume traffic, the Pro Tier is essential as it removes the 100-request-per-day cap and enables deep analytics.
• Learning Phase: The routing accuracy improves as the agent observes your usage patterns; consider a calibration period of 48 hours for optimal results.
• Budget Guardrails: Always set your budget constraints in the configuration file to prevent unexpected costs during high-load periods.
• Limitations: The router currently does not support vision-based tasks in the same capacity as text, so manual override might be required for multimodal inputs.