Model Switcher

Automatically switch between different AI models based on task complexity. Supports all available models in your OpenClaw setup. Triggers when detecting comp...

Automatically detect task complexity and switch to the appropriate model.

Model Configuration

Based on your setup:

• Fast model (haiku): custom-kiro-cli-vipdump-eu-org/claude-haiku-4-5 - For simple, quick tasks
• Powerful model (sonnet): custom-kiro-cli-vipdump-eu-org/claude-sonnet-4-5 - For complex analysis

Trigger Keywords (Chinese)

Switch to sonnet when message contains:

• 分析、深入分析、详细分析
• 重构、代码重构
• 架构、系统架构、设计架构
• 设计、系统设计
• 优化、性能优化
• 复杂、复杂问题
• 调试、深度调试
• 评估、技术评估

Workflow

1. Check current model using session_status
2. Detect keywords in user message
3. Switch if needed:
   • Complex task detected + currently on haiku → switch to sonnet
   • Simple task + currently on sonnet → optionally switch back to haiku
4. Inform user briefly about the switch

Implementation

Use session_status tool with model parameter:

// Switch to sonnet for complex tasks
session_status({ model: "kiro-cli" })

// Switch back to haiku for simple tasks
session_status({ model: "haiku" })

// Reset to default
session_status({ model: "default" })

Example Detection Logic

User message: "帮我分析一下这个系统的架构"
→ Contains: "分析", "架构"
→ Action: Switch to sonnet if not already on it
→ Response: "🔄 切换到 sonnet 模型来处理这个复杂任务..."

Notes

• Be smart about switching - don't switch for every message
• Batch related complex tasks on sonnet before switching back
• Inform user only on actual switches, not when already on correct model
• Consider context: if already discussing complex topic, stay on sonnet