llm-router

What This Skill Does

The OpenClaw LLM Router acts as a unified gateway for autonomous agents to interface with over 70 distinct AI models. By leveraging the AIsa backend, it provides an OpenAI-compatible interface that eliminates the need for managing multiple API keys, individual provider SDKs, or fragmented billing cycles. This skill abstracts the complexity of model selection, allowing developers to switch between state-of-the-art models like GPT-4, Claude-3.5 Sonnet, Gemini 2.0, and Deepseek R1 with a simple change to the model string parameter. It is designed for high-performance agent workflows that require multi-model capability, automatic failover logic, and granular cost management without refactoring codebase architecture.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/0xjordansg-yolo/openclaw-aisa-affordable-llm-model-tokens

Once installed, initialize the connection by setting your authentication token as an environment variable: export AISA_API_KEY="your-key-here"

The skill exposes a standard POST endpoint at https://api.aisa.one/v1/chat/completions, ensuring full compatibility with existing OpenAI SDK implementations.

Use Cases

• Autonomous Agent Decision Making: Assign complex reasoning tasks to o1 or Deepseek-R1 while delegating simple retrieval tasks to faster, cheaper models like gpt-4o-mini.
• Robust Multi-Provider Failover: Enhance agent reliability by setting up automated cascading fallbacks; if a primary provider experiences downtime or rate limits, the request shifts seamlessly to an alternative provider.
• Comparative Model Benchmarking: Execute side-by-side prompt analysis across different model architectures to determine the optimal model for specific agent behaviors.
• Cost Efficiency Tuning: Optimize your operational budget by routing non-critical tasks to high-throughput, low-cost models.

Example Prompts

1. "Use GPT-4o to draft a project outline, then verify the technical constraints using Claude-3.5 Sonnet and compile a final summary."
2. "Compare the output of Deepseek-v3 and Grok-2 regarding current market trends in AI regulation and highlight the discrepancies."
3. "If the request to GPT-4.1 fails due to a rate limit, automatically route the task to Gemini-1.5-Pro to ensure the agent process does not hang."

Tips & Limitations

To maximize the utility of the LLM Router, maintain a strict mapping of model capabilities to tasks. While the router provides a unified API, understand that specific models may have different token windows and formatting requirements. Always check the official documentation at marketplace.aisa.one/pricing to verify model availability and regional restrictions. Be aware that because this is a gateway service, latency may be slightly higher than direct-to-provider calls due to the routing infrastructure. Monitor your usage metrics regularly via the unified dashboard to ensure cost efficiency as your agent's complexity scales.