# Autoresearch Configuration for Response Quality Optimization
# Target: Improve model response quality and accuracy

target_file = "tauri-app/src/prompts/system.ts"
eval_command = "cd tauri-app && npm test -- --testPathPattern='system-prompt' --json --outputFile=test-results.json && node -e \"const fs=require('fs');const r=JSON.parse(fs.readFileSync('test-results.json'));console.log('Score:', r.success?r.numPassedTests/(r.numPassedTests+r.numFailedTests)*100:0)\""
metric_name = "test_pass_rate"
metric_direction = "higher"
time_budget = "2m"
branch = "autoresearch-quality"

# Alternative eval using benchmark questions
# eval_command = "cd tauri-app && node scripts/benchmark-quality.js"
# metric_name = "quality_score"
# metric_direction = "higher"