Model Router

Route model requests based on configured models, costs and task complexity. Use for routing general/low-complexity requests to the cheapest available model and for higher-complexity requests to strong

New

Join 0+ developers using this skill

skill

AI & Machine Learning

intermediate

0 installs

View Source

Last updated: April 23, 2026

AI Skill Market Insights

Real data. Real impact.

Popularity

Rising

Emerging

Active Users

Developers

Quick Start

Manual Installation

No automatic installation available. Please visit the source repository for installation instructions.

View Installation Instructions

TEAR & SHARE

3-5hrs/WK

RISING

0.0K+ USING

model-router

This skill provides a compact, runnable router that inspects an OpenClaw-style configuration (or a simple models JSON) and selects an appropriate model for an incoming request based on:

declared model capabilities and an optional cost score
task complexity (heuristic: short/simple vs long/complex)
explicit overrides (user or caller hints)

Design principles

Keep decision logic small and deterministic.
Default to the cheapest model for general, not-complex tasks.
Escalate to stronger models when the task appears complex or asks for high-fidelity results.
Make model metadata explicit (capabilities, cost_score, tags) so the router is transparent and auditable.

What this skill includes

scripts/router.py — a small CLI and library to pick a model given a task description and a models configuration file.
examples/models.json — example model configurations (name, provider, cost_score, capabilities).

When to use

Trigger when you need to programmatically choose which LLM to call for a user request.
Use for batching or middleware routing in server apps.

Usage (quick)

Prepare a models file (JSON) with model entries. See examples/models.json.
Call: python3 scripts/router.py --models examples/models.json --task "Summarize this email" --mode auto
The script prints the chosen model and the reasoning.

Files

scripts/router.py — router CLI/library
examples/models.json — sample model list

Model Router

AI Skill Market Insights

Quick Start

Manual Installation

TEAR & SHARE

Tags

Multi-Agent Patterns

Be Part of the 0+ Developer Community

model-router

Memory Systems Design

Context Degradation Detection

Context Optimization

Tool Design for Agents

Channels

Learn

Compare

Company