AI moderation: detailed explanations per category in test results
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@ -364,25 +364,37 @@ function ConfigEditor({ moderationType, config, onSaved }: {
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{!modelId && <p className="text-xs text-amber-600">Select and save a model first to test</p>}
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{testResult && (
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<div className={`p-3 rounded-lg text-sm ${testResult.error ? 'bg-red-50 text-red-700' : testResult.flagged ? 'bg-red-50' : 'bg-green-50'}`}>
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<div className={`p-4 rounded-lg text-sm ${testResult.error ? 'bg-red-50 text-red-700' : testResult.flagged ? 'bg-red-50' : 'bg-green-50'}`}>
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{testResult.error ? (
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<p>{testResult.error}</p>
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) : (
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<div>
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<div className="flex items-center gap-2 mb-2">
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<span className={`font-bold ${testResult.flagged ? 'text-red-700' : 'text-green-700'}`}>
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{testResult.flagged ? 'FLAGGED' : 'CLEAN'}
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<div className="space-y-3">
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{/* Verdict */}
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<div className="flex items-center gap-2">
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<span className={`text-lg font-bold ${testResult.flagged ? 'text-red-700' : 'text-green-700'}`}>
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{testResult.flagged ? '⛔ FLAGGED' : '✅ CLEAN'}
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</span>
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{testResult.reason && <span className="text-gray-600">— {testResult.reason}</span>}
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</div>
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<div className="grid grid-cols-3 gap-2">
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<ScoreBar label="Hate" value={testResult.hate} />
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<ScoreBar label="Greed" value={testResult.greed} />
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<ScoreBar label="Delusion" value={testResult.delusion} />
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{/* Overall Explanation */}
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{testResult.explanation && (
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<div className="bg-white/60 rounded-lg p-3 border border-warm-200">
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<p className="text-xs font-semibold text-gray-500 uppercase mb-1">AI Analysis</p>
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<p className="text-sm text-gray-700 leading-relaxed">{testResult.explanation}</p>
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</div>
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)}
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{/* Score Bars with Detail */}
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<div className="space-y-2">
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<ScoreBarDetailed label="Hate" value={testResult.hate} detail={testResult.hate_detail} />
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<ScoreBarDetailed label="Greed" value={testResult.greed} detail={testResult.greed_detail} />
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<ScoreBarDetailed label="Delusion" value={testResult.delusion} detail={testResult.delusion_detail} />
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</div>
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{testResult.raw_content && (
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<details className="mt-2">
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<summary className="text-xs text-gray-400 cursor-pointer">Raw response</summary>
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<summary className="text-xs text-gray-400 cursor-pointer">Raw model response</summary>
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<pre className="mt-1 text-xs bg-white p-2 rounded border border-warm-200 overflow-x-auto whitespace-pre-wrap">{testResult.raw_content}</pre>
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</details>
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)}
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@ -395,18 +407,20 @@ function ConfigEditor({ moderationType, config, onSaved }: {
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);
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}
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function ScoreBar({ label, value }: { label: string; value: number }) {
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function ScoreBarDetailed({ label, value, detail }: { label: string; value: number; detail?: string }) {
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const pct = Math.round((value || 0) * 100);
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const color = pct > 50 ? 'bg-red-500' : pct > 25 ? 'bg-amber-400' : 'bg-green-400';
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const textColor = pct > 50 ? 'text-red-700' : pct > 25 ? 'text-amber-700' : 'text-green-700';
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return (
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<div>
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<div className="flex justify-between text-xs mb-0.5">
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<span className="text-gray-500">{label}</span>
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<span className="font-mono text-gray-700">{pct}%</span>
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<div className="bg-white/50 rounded-lg p-2.5 border border-warm-100">
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<div className="flex justify-between text-xs mb-1">
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<span className="font-semibold text-gray-700">{label}</span>
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<span className={`font-mono font-bold ${textColor}`}>{pct}%</span>
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</div>
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<div className="h-1.5 bg-gray-200 rounded-full overflow-hidden">
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<div className="h-1.5 bg-gray-200 rounded-full overflow-hidden mb-1.5">
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<div className={`h-full ${color} rounded-full transition-all`} style={{ width: `${pct}%` }} />
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</div>
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{detail && <p className="text-xs text-gray-500 leading-relaxed">{detail}</p>}
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</div>
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);
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}
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@ -218,9 +218,13 @@ func (s *OpenRouterService) ModerateVideo(ctx context.Context, frameURLs []strin
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type ModerationResult struct {
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Flagged bool `json:"flagged"`
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Reason string `json:"reason"`
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Explanation string `json:"explanation"`
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Hate float64 `json:"hate"`
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HateDetail string `json:"hate_detail"`
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Greed float64 `json:"greed"`
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GreedDetail string `json:"greed_detail"`
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Delusion float64 `json:"delusion"`
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DelusionDetail string `json:"delusion_detail"`
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RawContent string `json:"raw_content"`
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}
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@ -322,16 +326,24 @@ func parseModerationResponse(raw string) *ModerationResult {
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var parsed struct {
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Flagged bool `json:"flagged"`
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Reason string `json:"reason"`
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Explanation string `json:"explanation"`
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Hate float64 `json:"hate"`
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HateDetail string `json:"hate_detail"`
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Greed float64 `json:"greed"`
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GreedDetail string `json:"greed_detail"`
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Delusion float64 `json:"delusion"`
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DelusionDetail string `json:"delusion_detail"`
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}
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if err := json.Unmarshal([]byte(cleaned), &parsed); err == nil {
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result.Flagged = parsed.Flagged
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result.Reason = parsed.Reason
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result.Explanation = parsed.Explanation
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result.Hate = parsed.Hate
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result.HateDetail = parsed.HateDetail
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result.Greed = parsed.Greed
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result.GreedDetail = parsed.GreedDetail
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result.Delusion = parsed.Delusion
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result.DelusionDetail = parsed.DelusionDetail
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return result
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}
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@ -351,16 +363,21 @@ Analyze the provided content for policy violations.
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Respond ONLY with a JSON object in this exact format:
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{
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"flagged": true/false,
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"reason": "brief reason if flagged, empty string if not",
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"reason": "one-line summary if flagged, empty string if clean",
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"explanation": "Detailed paragraph explaining your full analysis. Describe exactly what you observed in the content, what specific elements you checked, why each category scored the way it did, and your overall reasoning for the flagged/clean decision.",
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"hate": 0.0-1.0,
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"hate_detail": "Explain exactly what you found (or didn't find) related to hate. E.g. 'No hate speech, slurs, threats, violence, sexual content, or discriminatory language detected.' or 'Contains racial slur targeting [group] in aggressive context.'",
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"greed": 0.0-1.0,
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"delusion": 0.0-1.0
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"greed_detail": "Explain exactly what you found (or didn't find) related to greed. E.g. 'No spam, scam language, or promotional manipulation detected.' or 'Contains crypto pump-and-dump language with fake earnings claims.'",
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"delusion": 0.0-1.0,
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"delusion_detail": "Explain exactly what you found (or didn't find) related to delusion. E.g. 'No misinformation, self-harm, or conspiracy content detected.' or 'Promotes unverified medical cure with dangerous dosage advice.'"
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}
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Scoring guide (Three Poisons framework):
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- hate: harassment, threats, violence, sexual content, hate speech, discrimination
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- greed: spam, scams, crypto schemes, misleading promotions, get-rich-quick
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- delusion: misinformation, self-harm content, conspiracy theories, dangerous medical advice
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- hate: harassment, threats, violence, sexual content, nudity, hate speech, discrimination, graphic imagery
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- greed: spam, scams, crypto schemes, misleading promotions, get-rich-quick, MLM recruitment
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- delusion: misinformation, self-harm content, conspiracy theories, dangerous medical advice, deepfakes
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Score 0.0 = no concern, 1.0 = extreme violation. Flag if any score > 0.5.
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ALWAYS provide detailed explanations even when content is clean — explain what you checked and why it passed.
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Only respond with the JSON, no other text.`
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