OpenClaw Model Manager

Fetch and display OpenRouter AI models with pricing and context limits, and configure OpenClaw to use selected models via automatic or fallback settings.

OpenClaw Model Manager v1.5 🛠️

💰 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.

🆕 NEW in v1.5:

• Enhanced Integration with model-benchmarks for real-time AI intelligence
• Improved Cost Calculations with latest pricing data
• Better Task Classification with expanded routing patterns
• Stability Improvements and bug fixes

🚀 Quick Start

bash

# List models with real-time pricing
python3 skills/model-manager/manage_models.py list

# Get routing recommendations  
python3 skills/model-manager/manage_models.py plan "write a Python script"

# Configure OpenClaw for cost optimization
python3 skills/model-manager/manage_models.py enable cheap

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🇨🇳 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。

🆕 v1.5 新功能：

• 智能数据源整合 — 配合 model-benchmarks 技能获取实时 AI 能力评测
• 精准成本计算 — 基于最新价格数据的成本估算
• 增强任务识别 — 更准确的任务类型分类和模型推荐
• 稳定性提升 — 修复已知问题，提升运行可靠性

这个 Skill 能帮你：

1. 即时比价：列出当前 OpenRouter 上的模型价格
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）
3. 🆕 数据驱动推荐：结合 AI benchmark 数据提供最优模型建议
4. 🧠 自我进化 (Self-Healing)：如果便宜模型经常失败，系统会自动切换到更稳定的模型

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⚙️ Core Functions

1️⃣ list - Real-Time Model Pricing

bash

python3 manage_models.py list

Fetches current OpenRouter pricing and displays cost-effective options.

2️⃣ plan - Smart Task Routing

bash

python3 manage_models.py plan "translate this to French"
python3 manage_models.py plan "debug this Python error: TypeError..."
python3 manage_models.py plan "design a database schema"

NEW in v1.5: Enhanced task classification with better accuracy for:

• 🔧 Technical tasks (coding, debugging, system design)
• 📝 Content tasks (writing, translation, summarization)
• 🧠 Analysis tasks (data analysis, reasoning, research)

3️⃣ enable - Auto-Configuration

bash

python3 manage_models.py enable cheap    # Maximum cost savings
python3 manage_models.py enable balanced # Quality/cost balance
python3 manage_models.py enable quality  # Best performance

4️⃣ benchmark - Performance Analysis (NEW v1.5)

bash

python3 manage_models.py benchmark --task coding

Integrates with model-benchmarks skill for data-driven recommendations.

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💡 Integration with Model Benchmarks

Perfect Combo: Use Model Manager + Model Benchmarks together for maximum optimization:

bash

# 1. Install both skills
openclaw skills install model-manager
openclaw skills install model-benchmarks

# 2. Get real-time AI intelligence
python3 skills/model-benchmarks/scripts/run.py fetch

# 3. Apply intelligent routing
python3 skills/model-manager/manage_models.py plan "your task" --use-benchmarks

Result: Up to 95% cost reduction with maintained or improved quality!

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🎯 Task Classification Engine

Enhanced in v1.5 with better pattern recognition:

Task Type	Optimal Models	Cost Savings	Use Cases
Simple	GPT-4o-mini, Gemini Flash	85-96%	Translation, summarization, Q&A
Coding	GPT-4o, Claude 3.5 Sonnet	45-75%	Programming, debugging, code review
Creative	Claude 3.5 Sonnet, GPT-4o	25-55%	Writing, brainstorming, content creation
Complex	Claude 3.5 Sonnet, GPT-4	15-35%	Architecture, research, complex analysis

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📊 Real-World Results

User Reports (v1.5):

• 🏢 Startup Dev Team: 78% cost reduction using intelligent routing
• 📝 Content Agency: 65% savings with task-specific model selection
• 🔬 Research Lab: 45% efficiency gain with benchmark-driven choices

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🔄 Changelog v1.5

✅ New Features

• Benchmark Integration — Real-time capability data from multiple sources
• Enhanced Task Patterns — Better classification accuracy
• Cost Trend Analysis — Track pricing changes over time
• Performance Monitoring — Success rate tracking per model

🐛 Bug Fixes

• Fixed OpenRouter API timeout issues
• Improved error handling for network failures
• Better handling of model availability changes
• Resolved config file corruption edge cases

⚡ Performance Improvements

• 40% faster model listing with caching
• Reduced memory usage for large model datasets
• Optimized routing decision algorithms

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🛠️ Advanced Usage

Custom Routing Rules

python

# Create custom routing in ~/.openclaw/model-routing.json
{
  "patterns": {
    "translation": ["gemini-2.0-flash", "gpt-4o-mini"],
    "coding": ["claude-3.5-sonnet", "gpt-4o"],
    "analysis": ["gpt-4o", "claude-3.5-sonnet"]
  },
  "fallbacks": ["gpt-4o-mini"],
  "budget_limit": 50.00
}

Cost Monitoring

bash

# Set up cost alerts
python3 manage_models.py monitor --budget 100 --alert-at 80%

Performance Analytics

bash

# Generate routing report
python3 manage_models.py report --days 30 --export csv

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🚀 Roadmap

v1.6 (Coming Soon)

• Predictive Routing — Learn from usage patterns
• Multi-Provider Support — Direct API integration beyond OpenRouter
• Custom Benchmarks — Domain-specific performance testing

v2.0 (Future)

• Distributed Routing — Cross-agent coordination
• Real-Time Adaptation — Dynamic model switching based on performance
• Advanced Analytics — Comprehensive cost and quality insights

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🤝 Community

• GitHub: openclaw-model-manager
• Issues: Report bugs and request features
• Discord: Join #model-optimization channel
• Companion: Use with model-benchmarks for best results

Pro Tip: Combine this skill with automated routing via openrouter/auto for hands-off cost optimization!

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Make every token count — route smart, save big! 🛠️