[autoresearch] baseline: system prompt quality tests (5/5 passing)
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# Autoresearch Configuration for Response Quality Optimization
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# Target: Improve model response quality and accuracy
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target_file = "tauri-app/src/prompts/system.ts"
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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)\""
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metric_name = "test_pass_rate"
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metric_direction = "higher"
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time_budget = "2m"
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branch = "autoresearch-quality"
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# Alternative eval using benchmark questions
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# eval_command = "cd tauri-app && node scripts/benchmark-quality.js"
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# metric_name = "quality_score"
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# metric_direction = "higher"
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