think
Analyze complex problems with step-by-step reasoning using local GPU models. Process multi-step challenges, architecture decisions, and debugging strategies with structured analysis.
Instructions
Deep reasoning for complex problems using local GPU with extended thinking. Offloads complex analysis to local LLM - zero API costs.
WHEN TO USE:
Complex multi-step problems requiring careful reasoning
Architecture decisions, trade-off analysis
Debugging strategies, refactoring plans
Any situation requiring "thinking through" before acting
Args: problem: The problem or question to think through (required) context: Supporting information - code, docs, constraints (optional) depth: Reasoning depth level: - "quick" → Fast answer, no extended thinking (14B model) - "normal" → Balanced reasoning with thinking (14B coder) - "deep" → Thorough multi-step analysis (30B+ MoE model)
ROUTING:
Uses largest available GPU for deep thinking
Automatically enables thinking mode for normal/deep
Prefers local GPU, falls back to remote if needed
Returns: Structured analysis with step-by-step reasoning and conclusions
Examples: think(problem="How should we handle authentication?", depth="deep") think(problem="Debug this error", context="", depth="normal")
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| problem | Yes | ||
| context | No | ||
| depth | No | normal |
Output Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | Yes |