nexus-multi-model

What This Skill Does

The nexus-multi-model skill serves as an intelligent routing layer for the OpenClaw AI agent, designed to optimize the efficiency and cost-effectiveness of AI-driven tasks. By leveraging the NEXUS Agent-as-a-Service architecture on the Cardano blockchain, this skill evaluates incoming prompts and dispatches them to the most suitable LLM—such as GPT-5.2, Claude Sonnet 4.5, or GPT-4o—based on specific criteria like task complexity, required reasoning depth, and budget constraints. This effectively abstracts the decision-making process for model selection, ensuring that high-complexity queries receive advanced processing while lighter tasks benefit from cost-optimized compute, all facilitated through the Masumi protocol for transparent, non-custodial payments.

Installation

To integrate this routing capability into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/cyberforexblockchain/nexus-multi-model

Ensure that your environment is configured for Masumi protocol interactions if you intend to move beyond the sandbox_test mode, as valid Cardano-based payment proofs are required for production service utilization.

Use Cases

This skill is ideal for workflows that require dynamic AI responses without needing manual model switching. It excels in:

• Automated Research Assistants: Automatically routing long-form analytical tasks to powerful models while keeping simple clarification queries efficient.
• Cost-Sensitive Operations: Enabling users to enforce a 'balanced' or 'economy' mode for high-frequency agent requests.
• Multi-Agent Orchestration: Acting as a centralized hub for agents that need to interpret diverse data inputs without hardcoding specific provider endpoints.

Example Prompts

1. "Analyze this long technical document and summarize the key findings for an executive report."
2. "Explain machine learning to a beginner using simple analogies."
3. "Write a Python script that scrapes a simple web page and prints the title tags, keeping costs minimal."

Tips & Limitations

• Testing: Always utilize the sandbox_test header during your initial integration phase to verify your agent's routing logic without incurring actual costs.
• Optimization Strategy: The optimize_for parameter is critical; use 'balanced' for general tasks and 'cost' for high-volume, simple queries.
• Network Dependence: Because this skill relies on the NEXUS API, ensure your agent has consistent network connectivity. The service is stateless, meaning no data is retained server-side, which is excellent for privacy but requires you to manage context persistence within your own local OpenClaw session.