llm-router

What This Skill Does

The LLM Router skill for OpenClaw acts as a high-performance, unified gateway to over 70 state-of-the-art AI models. By centralizing access through a single API key, it eliminates the administrative burden of managing individual keys for OpenAI, Anthropic, Google, Alibaba, Deepseek, and xAI. It is fully OpenAI-compatible, meaning developers can drop this into existing workflows without rewriting codebases. The router handles request orchestration, provider failover, and standardized formatting, ensuring that your agents can switch between models like GPT-4o, Claude-3.5-Sonnet, and Deepseek-R1 with only a single string change.

Installation

To integrate the LLM Router into your OpenClaw environment, ensure you have the OpenClaw CLI configured. Run the following command in your terminal:

clawhub install openclaw/skills/skills/aisadocs/openclaw-aisa-llm-router

Once installed, you must define your credentials by setting the environment variable export AISA_API_KEY="your-key-here" in your shell configuration to allow the agent to authenticate with the AIsa gateway.

Use Cases

• Autonomous Agent Orchestration: Direct complex reasoning tasks to high-tier models like o1 or Claude-3-Opus while routing simple chat queries to cost-effective models like GPT-4o-mini.
• Resiliency & Failover: Implement "self-healing" agents that automatically retry requests through alternative model providers if the primary endpoint experiences latency or downtime.
• Comparative Analysis: Execute parallel or sequential requests to multiple LLM families to evaluate model drift or determine which architecture yields the highest quality output for specific agentic prompts.
• Developer Workflow Integration: Use a single API connection to test various model benchmarks without modifying headers, auth tokens, or SDK implementation logic.

Example Prompts

1. "Use the LLM Router to compare how GPT-4o and Claude-3.5-Sonnet solve this complex Python refactoring task, then provide a summary of the differences."
2. "Configure a fallback strategy where the agent attempts a response using Deepseek-R1, and if it exceeds 5 seconds, switch to Gemini-2.0-flash."
3. "Analyze the provided image of the dashboard; use GPT-4o for vision processing and then draft a summary email for my team using the style of Claude-3-Opus."

Tips & Limitations

• Model Availability: While the gateway provides access to 70+ models, ensure the specific model ID you target is active by checking the official AIsa marketplace documentation.
• Cost Tracking: Because the router centralizes billing, you can monitor total usage patterns through the AIsa dashboard rather than auditing fragmented invoices from multiple AI vendors.
• Latency Trade-offs: Be aware that routing through a gateway adds a negligible amount of network overhead; for ultra-low latency applications, verify that the selected region is proximal to your agent host.
• Security: Since your agent uses one key, secure your AISA_API_KEY within an encrypted secrets vault rather than hardcoding it in agent configurations.