Auto Model Switcher

Intelligently selects the optimal model from available providers based on task characteristics.

When to Use

Task requires specific capabilities (coding, analysis, multimodal, writing, research)
Need optimal performance/cost balance
Working with long context or complex reasoning
User doesn't specify a model preference

Available Models Analysis

Qwen Series (bailian provider)

| Model | Context | Multimodal | Best For | Cost | |-------|---------|------------|----------|------| | qwen3.5-plus | 1M | ✅ Text+Image | General tasks, creative writing, balanced performance | Low | | qwen3-max | 262K | ❌ Text only | Complex reasoning, deep analysis, research | High | | qwen3-coder-plus | 1M | ❌ Text only | Code generation, debugging | Medium |

Third-party Models (bailian provider)

| Model | Context | Multimodal | Best For | |-------|---------|------------|----------| | glm-5 | 1M | ✅ Text+Image | Multimodal tasks, Chinese optimization | | kimi-k2.5 | 200K | ✅ Text+Image | Multimodal, research-oriented | | MiniMax-M2.5 | 1M | ✅ Text+Image | Long context multimodal |

Selection Logic

Task Type Detection

Code Tasks → bailian/qwen3-coder-plus

Keywords: code, programming, debug, fix, implement, develop, coding, script
File extensions: .py, .js, .ts, .java, .cpp, etc.
Commands: git, npm, docker, build, compile

Complex Analysis → bailian/qwen3-max

Keywords: analyze, research, compare, evaluate, strategy, deep dive, business analysis
Tasks requiring multi-step reasoning
Financial/strategic analysis

Research Tasks → bailian/qwen3-max

Keywords: research, investigate, study, survey, academic, literature review
Complex information synthesis
Multi-source analysis and comparison

Writing/Copywriting Tasks → bailian/qwen3.5-plus

Keywords: write, draft, copywriting, content, article, blog, email, proposal, creative
Marketing copy, social media content
Creative writing and storytelling

Multimodal Tasks → bailian/glm-5

Image analysis, OCR, visual understanding
Audio processing (when supported)
Mixed text+image inputs

Long Context → bailian/qwen3.5-plus

Document processing > 200K tokens
Summarization of large documents
Historical context analysis

General Tasks → bailian/qwen3.5-plus (default)

Chat, simple queries, basic tasks
When no specific requirements detected

Fallback Strategy

Primary model selection based on task type
If primary model fails, fallback to qwen3.5-plus
If still failing, use current session model

Usage Examples

Automatic Selection

User: Help me debug this Python code
→ Model: bailian/qwen3-coder-plus

User: Analyze our Q4 financial performance vs competitors  
→ Model: bailian/qwen3-max

User: Research the latest AI trends in marketing
→ Model: bailian/qwen3-max

User: Write a compelling product description for our new service
→ Model: bailian/qwen3.5-plus

User: What's in this image?
→ Model: bailian/glm-5

User: Summarize this 500-page document
→ Model: bailian/qwen3.5-plus

Manual Override

Users can always specify models directly:

/model bailian/qwen3-max
Use coder model for this task

Implementation Notes

Always check if target model is available before switching
Preserve current session context when switching
Log model selections for learning and optimization
Respect user's explicit model preferences

Security Considerations

Only switch between pre-configured models in openclaw.json
Never attempt to use unconfigured or unknown models
Validate model names against available list before switching

Performance Metrics

Track these metrics for continuous improvement:

Task completion success rate by model
Response time by model and task type
User satisfaction feedback
Cost per task type

This skill enables intelligent model routing without user intervention while maintaining full control when needed.

Iteration Support

Skills can be updated via clawhub sync --all
Version updates maintain backward compatibility
New task types can be added without breaking existing functionality