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duel-agents-routing

Route prompts across OpenAI and Anthropic models to minimize cost.

2|1|Updated May 16, 2026
Search Tags:#llm#sdk#multi-model#cost-optimization#ide-integration#route#duel-api
One-click install
npx skills add https://github.com/Aradotso/ai-agent-skills --skill duel-agents-routing
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: duel-agents-routing
Source: https://github.com/Aradotso/ai-agent-skills/tree/main/skills/duel-agents-routing
Command: npx skills add https://github.com/Aradotso/ai-agent-skills --skill duel-agents-routing

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Duel Agents routing solves the challenge of high LLM costs and fragmented toolchains by routing prompts across multiple models and returning the cheapest answer that meets quality constraints.

Core Features & Use Cases

  • Automatic model selection via the duel-auto model to optimize cost versus performance.
  • Cost optimization by routing to cheaper models when suitable, while maintaining answer quality.
  • IDE integrations and SDK support (Claude Code, Cursor, Codex, OpenClaw) for seamless workflow.
  • TypeScript SDK for building custom agents and applications that leverage multi-model routing across OpenAI and Anthropic-compatible endpoints.

Quick Start

Install this skill and start routing prompts through duel-auto for automatic, cost-aware model selection.

Frequently Asked Questions about duel-agents-routing

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I route LLM prompts across multiple models to reduce API costs?▼

Multi-model routing sends prompts to different LLMs and returns the cheapest answer that meets quality constraints. It uses duel-auto to automatically select the most cost-effective model for your specific task requirements.

Can I use multi-model routing with Claude Code, Cursor, or Codex?▼

Yes, multi-model routing integrates with Claude Code, Cursor, Codex, and OpenClaw. These IDE integrations allow you to seamlessly leverage cost-aware model selection directly within your existing development workflow.

What is automatic cost-aware model selection for OpenAI and Anthropic backends?▼

Automatic cost-aware model selection evaluates performance and cost across OpenAI and Anthropic-compatible endpoints. It routes prompts via duel-auto to automatically choose the cheapest model that satisfies the required capabilities.

How do I build custom agents with TypeScript SDK for multi-model routing?▼

You can use the TypeScript SDK to build custom agents and applications that leverage multi-model routing. The SDK handles prompt distribution across OpenAI and Anthropic-compatible endpoints to optimize cost versus performance.

Does multi-model routing maintain answer quality when using cheaper models?▼

Yes, multi-model routing maintains answer quality by applying quality constraints. It routes to cheaper models only when suitable, ensuring the selected model meets the required capabilities for the specific task.

What is the best way to optimize LLM costs when working with fragmented toolchains?▼

Multi-model routing solves high LLM costs and fragmented toolchains by routing prompts across multiple models. It returns the cheapest answer meeting quality constraints, unifying OpenAI and Anthropic backends under duel-auto routing.

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