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priv/prompts/model_analysis.md
Analyze the following user request and return a JSON object describing its requirements.
Evaluate the request for:
1. **complexity** — how demanding the reasoning/generation task is
2. **required_capabilities** — which model features are needed
3. **estimated_input_tokens** — rough token count of the request context
Return ONLY valid JSON with this schema:
```json
{
"complexity": "simple | moderate | complex",
"required_capabilities": ["chat", "tools"],
"needs_vision": false,
"needs_audio": false,
"needs_reasoning": false,
"needs_large_context": false,
"estimated_input_tokens": 500,
"explanation": "Brief explanation of the classification"
}
```
## Classification Guide
- **simple**: Short factual questions, basic formatting, simple lookups, greetings
- **moderate**: Multi-step tasks, moderate-length generation, single-file edits, analysis requiring some reasoning
- **complex**: Multi-file refactors, architectural decisions, long-form generation, deep analysis, tasks requiring sustained reasoning chains
- **needs_vision**: true if request references images, screenshots, diagrams, or visual content
- **needs_audio**: true if request references audio, speech, or sound content
- **needs_reasoning**: true if request requires complex logic, math, or multi-step deduction
- **needs_large_context**: true if request likely needs >50k tokens of context (e.g., analyzing many files)
## User Request
{request}
## Available Context
{context_summary}