llmcouncil-router

What This Skill Does

The LLM Council Router is a specialized skill for the OpenClaw agent designed to optimize your generative AI workflows. By leveraging thousands of peer-reviewed council deliberations, this tool analyzes your specific prompt and identifies the highest-performing LLM for that exact task. Instead of relying on guesswork or generic model defaults, the agent consults the LLM Council API to retrieve a data-backed recommendation, providing not just the top model ID, but also confidence scores and comparative rankings. This ensures that you are always utilizing the most capable intelligence for your specific use case, whether it involves complex coding, creative writing, or logical reasoning.

Installation

To install this skill, run the following command in your terminal or within the OpenClaw environment: clawhub install openclaw/skills/skills/ashtiwariasu/llmcouncil-router Once installed, ensure you have your LLM Council API key configured as an environment variable LLMCOUNCIL_API_KEY to allow the agent to authenticate and perform routing requests.

Use Cases

This skill is indispensable for power users who demand performance excellence. It is perfect for:

• Complex Reasoning Tasks: When a query involves multiple logic steps or niche technical knowledge, the router ensures the agent selects a model known for high logical performance.
• Optimized Cost Management: By receiving a confidence score, you can decide whether to use a high-cost frontier model or a smaller, more efficient one when the confidence level for a cheaper model is sufficiently high.
• Dynamic Model Switching: Perfect for agents managing heterogeneous workflows where you might need creative models for email drafting and highly structured, logic-heavy models for code refactoring.

Example Prompts

1. "Find the best model to help me debug this asynchronous Python event loop issue."
2. "I need to summarize these legal documents; route this request to the most accurate model based on recent legal benchmarking."
3. "Which LLM is currently ranked best for creative short story generation? Use that for my next prompt."

Tips & Limitations

• Relevance Thresholds: Always monitor the relevance field in the response. If the relevance score is below 0.5, the routing engine may not have enough data to make a confident recommendation for your specific query.
• API Latency: Keep in mind that calling the router adds a slight delay to your execution chain. Use it for high-importance tasks rather than trivial, repetitive actions.
• Compatibility: The model IDs returned are compatible with the OpenRouter ecosystem, allowing for seamless integration. Always ensure your API key has sufficient balance and that you have configured your environment correctly.