model-router

What this skill does

# Model Router

**Intelligent AI model routing across multiple providers for optimal cost-performance balance.**

Automatically select the best model for any task based on complexity, type, and your preferences. Support for 6 major AI providers with secure API key management and interactive configuration.

## 🎯 What It Does

- **Analyzes tasks** and classifies them by type (coding, research, creative, simple, etc.)
- **Routes to optimal models** from your configured providers
- **Optimizes costs** by using cheaper models for simple tasks
- **Secures API keys** with file permissions (600) and isolated storage
- **Provides recommendations** with confidence scoring and reasoning

## 🚀 Quick Start

### Step 1: Run the Setup Wizard

```bash
cd skills/model-router
python3 scripts/setup-wizard.py
```

The wizard will guide you through:
1. **Provider setup** - Add your API keys (Anthropic, OpenAI, Gemini, etc.)
2. **Task mappings** - Choose which model for each task type
3. **Preferences** - Set cost optimization level

### Step 2: Use the Classifier

```bash
# Get model recommendation for a task
python3 scripts/classify_task.py "Build a React authentication system"

# Output:
# Recommended Model: claude-sonnet
# Confidence: 85%
# Cost Level: medium
# Reasoning: Matched 2 keywords: build, system
```

### Step 3: Route Tasks with Sessions

```bash
# Spawn with recommended model
sessions_spawn --task "Debug this memory leak" --model claude-sonnet

# Use aliases for quick access
sessions_spawn --task "What's the weather?" --model haiku
```

## 📊 Supported Providers

| Provider | Models | Best For | Key Format |
|----------|--------|----------|------------|
| **Anthropic** | claude-opus-4-5, claude-sonnet-4-5, claude-haiku-4-5 | Coding, reasoning, creative | `sk-ant-...` |
| **OpenAI** | gpt-4o, gpt-4o-mini, o1-mini, o1-preview | Tools, deep reasoning | `sk-proj-...` |
| **Gemini** | gemini-2.0-flash, gemini-1.5-pro, gemini-1.5-flash | Multimodal, huge context (2M) | `AIza...` |
| **Moonshot** | moonshot-v1-8k/32k/128k | Chinese language | `sk-...` |
| **Z.ai** | glm-4.5-air, glm-4.7 | Cheapest, fast | Various |
| **GLM** | glm-4-flash, glm-4-plus, glm-4-0520 | Chinese, coding | `ID.secret` |

## 🎛️ Task Type Mappings

Default routing (customizable via wizard):

| Task Type | Default Model | Why |
|-----------|---------------|-----|
| `simple` | glm-4.5-air | Fastest, cheapest for quick queries |
| `coding` | claude-sonnet-4-5 | Excellent code understanding |
| `research` | claude-sonnet-4-5 | Balanced depth and speed |
| `creative` | claude-opus-4-5 | Maximum creativity |
| `math` | o1-mini | Specialized reasoning |
| `vision` | gemini-1.5-flash | Fast multimodal |
| `chinese` | glm-4.7 | Optimized for Chinese |
| `long_context` | gemini-1.5-pro | Up to 2M tokens |

## 💰 Cost Optimization

### Aggressive Mode
Always uses the cheapest capable model:
- Simple → glm-4.5-air (~10% cost)
- Coding → claude-haiku-4-5 (~25% cost)
- Research → claude-sonnet-4-5 (~50% cost)

**Savings:** 50-90% compared to always using premium models

### Balanced Mode (Default)
Considers cost vs quality:
- Simple tasks → Cheap models
- Critical tasks → Premium models
- Automatic escalation if cheap model fails

### Quality Mode
Always uses the best model regardless of cost

## 🔒 Security

### API Key Storage
```
~/.model-router/
├── config.json       # Model mappings (chmod 600)
└── .api-keys         # API keys (chmod 600)
```

**Features:**
- File permissions restricted to owner (600)
- Isolated from version control
- Encrypted at rest (via OS filesystem encryption)
- Never logged or printed

### Best Practices
1. **Never commit** `.api-keys` to version control
2. **Use environment variables** for production deployments
3. **Rotate keys** regularly via the wizard
4. **Audit access** with `ls -la ~/.model-router/`

## 📖 Usage Examples

### Example 1: Cost-Optimized Workflow

```bash
# Classify task first
python3 scripts/classify_task.py "Extract prices from this CSV"

# Result: simple task → use glm-4.5-air
sessions_spawn --task "Extract prices" --model glm-4.5-air

# Then analyze with better model if needed
sessions_spawn --task "Analyze price trends" --model claude-sonnet
```

### Example 2: Progressive Escalation

```bash
# Try cheap model first (60s timeout)
sessions_spawn --task "Fix this bug" --model glm-4.5-air --runTimeoutSeconds 60

# If fails, escalate to premium
sessions_spawn --task "Fix complex architecture bug" --model claude-opus
```

### Example 3: Parallel Processing

```bash
# Batch simple tasks in parallel with cheap model
sessions_spawn --task "Summarize doc A" --model glm-4.5-air &
sessions_spawn --task "Summarize doc B" --model glm-4.5-air &
sessions_spawn --task "Summarize doc C" --model glm-4.5-air &
wait
```

### Example 4: Multimodal with Gemini

```bash
# Vision task with 2M token context
sessions_spawn --task "Analyze these 100 images" --model gemini-1.5-pro
```

## 🛠️ Configuration Files

### `~/.model-router/config.json`
```json
{
  "version": "1.1.0",
  "providers": {
    "anthropic": {
      "configured": true,
      "models": ["claude-opus-4-5", "claude-sonnet-4-5", "claude-haiku-4-5"]
    },
    "openai": {
      "configured": true,
      "models": ["gpt-4o", "gpt-4o-mini", "o1-mini", "o1-preview"]
    }
  },
  "task_mappings": {
    "simple": "glm-4.5-air",
    "coding": "claude-sonnet-4-5",
    "research": "claude-sonnet-4-5",
    "creative": "claude-opus-4-5"
  },
  "preferences": {
    "cost_optimization": "balanced",
    "default_provider": "anthropic"
  }
}
```

### `~/.model-router/.api-keys`
```bash
# Generated by setup wizard - DO NOT edit manually
ANTHROPIC_API_KEY=sk-ant-...
OPENAI_API_KEY=sk-proj-...
GEMINI_API_KEY=AIza...
```

## 🔄 Version 1.1 Changes

### New Features
- ✅ **Interactive setup wizard** for guided configuration
- ✅ **Secure API key storage** with file permissions
- ✅ **Task-to-model mapping** customization
- ✅ **Multi-provider support** (6 providers)
- ✅ **Cost optimization levels** (aggressive/balanced/quality)

### Improvements
- ✅ Better task classification with confidence scores
- ✅ Provider-specific model recommendations
- ✅ Enhanced security with isolated storage
- ✅ Comprehensive documentation

### Migration from 1.0
Run the setup wizard to reconfigure:
```bash
python3 scripts/setup-wizard.py
```

## 📚 Command Reference

### Setup Wizard
```bash
python3 scripts/setup-wizard.py
```
Interactive configuration of providers, mappings, and preferences.

### Task Classifier
```bash
python3 scripts/classify_task.py "your task description"
python3 scripts/classify_task.py "your task" --format json
```
Get model recommendation with reasoning.

### List Models
```bash
python3 scripts/setup-wizard.py --list
```
Show all available models and their status.

## 🤝 Integration with Other Skills

| Skill | Integration |
|-------|-------------|
| **model-usage** | Track cost per provider to optimize routing |
| **sessions_spawn** | Primary tool for model delegation |
| **session_status** | Check current model and usage |

## ⚡ Performance Tips

1. **Start simple** - Try cheap models first
2. **Batch tasks** - Combine multiple simple tasks
3. **Use cleanup** - Delete sessions after one-off tasks
4. **Set timeouts** - Prevent runaway sub-agents
5. **Monitor usage** - Track costs per provider

## 🐛 Troubleshooting

### "No suitable model found"
- Run setup wizard to configure providers
- Check API keys are valid
- Verify permissions on `.api-keys` file

### "Module not found"
```bash
pip3 install -r requirements.txt  # if needed
```

### Wrong model selected
1. Customize task mappings via wizard
2. Use explicit model in `sessions_spawn --model`
3. Adjust cost optimization preference

## 📖 Additional Resources

- **Provider Docs:**
  - [Anthropic](https://docs.anthropic.com)
  - [OpenAI](https://platform.openai.com/docs)
  - [Gemini](https://ai.google.dev/docs)
  - [Moonshot](https://platform.moonshot.cn/docs)
  - [Z.ai](http