Model Manager

OpenClaw Model Manager Skill 🛠️

💰 Optimize Your API Costs: Route Simple Tasks to Cheaper Models.

Why pay $15/1M tokens for simple translations or summaries when you can pay $0.60/1M? That's a 25x price difference (96% savings) for suitable tasks.

Interact with OpenRouter API to fetch available models, compare pricing instantly, and configure OpenClaw to use the most cost-effective models via the openrouter/auto gateway.

🇨🇳 中文说明

💰 拒绝冤枉钱！自动路由高性价比模型，最高节省 96% Token 费用。

为什么要花 $15/1M tokens 的价格去处理简单的翻译或摘要任务？明明可以用 $0.60/1M 的模型搞定！

这个 Skill 能帮你：

1. 即时比价：列出当前 OpenRouter 上的模型价格（每百万 Token 输入/输出成本），一目了然。
2. 智能配置：自动将简单任务路由给高性价比的小模型（如 GPT-4o-mini, Haiku），复杂任务留给大模型。
3. 🆕 任务模拟器 (Plan Mode)：输入你想做的任务，模拟展示“金齿轮”如何拆解任务并分配给不同模型，直接算出能省多少钱。

📉 Cost Savings Logic (Per 1M Output Tokens)

Features ✨

• Compare Prices: See input/output costs per 1M tokens side-by-side.
• Smart Routing: Configure openrouter/auto to handle easier tasks with efficient models.
• Stay Updated: Always access the latest price drops and new models from OpenRouter.
• Plan & Simulate: Preview how a complex task is split into cheaper sub-tasks.

Commands

• list models or ls models or 列出模型: Fetch and display top models from OpenRouter with pricing comparisons.
• enable <model_id> or 启用 <model_id>: Add a model to OpenClaw's configuration (agents.defaults.models & fallbacks).
• plan <task> or 规划 <task>: [NEW] Simulate task decomposition and calculate potential savings.
  • Example: plan "build a python stock scraper"

Implementation Details

This skill uses a Python script manage_models.py to:

1. Fetch https://openrouter.ai/api/v1/models (public API, no key needed).
2. Filter and rank models (e.g., sort by context length, pricing, or popularity).
3. Generate config.patch commands for OpenClaw.
4. TaskPlanner: A local heuristic engine that simulates multi-agent routing logic.

Usage Example

1. Check Prices: User: "list models" Agent: (Runs script, displays table)

2. Simulate Savings: User: "plan build a web scraper" Agent: (Runs planner)

3. Enable Model: User: "enable 1" Agent: (Runs config patch) "Model enabled! You can now use it in tasks."