feat: pre-launch vs post-launch analysis modes

- Backend: mode field in request, adapts summary tone and email subject
- Pre-launch: "Implementieren Sie X vor Veroeffentlichung"
- Post-launch: "ACHTUNG: Maengel sind oeffentlich sichtbar, sofortige Nachbesserung"
- Frontend: Mode toggle (internes Dokument vs. Live-Website)

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

admin-compliance/app/sdk/agent/_hooks/useAgentAnalysis.ts

@@ -39,7 +39,7 @@ export function useAgentAnalysis() {
   const [result, setResult] = useState<AnalysisResult | null>(null)
   const [history, setHistory] = useState<AnalysisResult[]>([])
 
-  async function analyze(url: string) {
+  async function analyze(url: string, mode: string = 'post_launch') {
     setLoading(true)
     setError(null)
     setResult(null)
@@ -48,7 +48,7 @@ export function useAgentAnalysis() {
       const fetchRes = await fetch('/api/sdk/v1/agent/analyze', {
         method: 'POST',
         headers: { 'Content-Type': 'application/json' },
-        body: JSON.stringify({ url }),
+        body: JSON.stringify({ url, mode }),
       })
 
       if (!fetchRes.ok) {

admin-compliance/app/sdk/agent/page.tsx

@@ -6,14 +6,32 @@ import { AnalysisResult } from './_components/AnalysisResult'
 import { AnalysisHistory } from './_components/AnalysisHistory'
 import { FollowUpQuestions } from './_components/FollowUpQuestions'
 
+type AnalysisMode = 'pre_launch' | 'post_launch'
+
+const MODES: { id: AnalysisMode; label: string; desc: string; icon: string }[] = [
+  {
+    id: 'pre_launch',
+    label: 'Internes Dokument pruefen',
+    desc: 'Dokument oder Website VOR Veroeffentlichung pruefen',
+    icon: '📋',
+  },
+  {
+    id: 'post_launch',
+    label: 'Live-Website pruefen',
+    desc: 'Bereits veroeffentlichte Website oder Dokument analysieren',
+    icon: '🌐',
+  },
+]
+
 export default function AgentPage() {
   const [url, setUrl] = useState('')
+  const [mode, setMode] = useState<AnalysisMode>('post_launch')
   const { analyze, answerFollowUp, loading, error, result, history } = useAgentAnalysis()
 
   const handleSubmit = (e: React.FormEvent) => {
     e.preventDefault()
     if (!url.trim()) return
-    analyze(url.trim())
+    analyze(url.trim(), mode)
   }
 
   return (
@@ -22,18 +40,44 @@ export default function AgentPage() {
       <div>
         <h1 className="text-2xl font-bold text-gray-900">Compliance Agent</h1>
         <p className="text-gray-500 mt-1">
-          Analysiere Webseiten auf DSGVO-Konformitaet. Der Agent holt das Dokument,
-          klassifiziert es, bewertet das Risiko und weist die Aufgabe der zustaendigen Rolle zu.
+          Analysiere Dokumente und Webseiten auf DSGVO-Konformitaet.
         </p>
       </div>
 
+      {/* Mode Selection */}
+      <div className="grid grid-cols-2 gap-3">
+        {MODES.map(m => (
+          <button
+            key={m.id}
+            onClick={() => setMode(m.id)}
+            className={`p-4 rounded-xl border-2 text-left transition-all ${
+              mode === m.id
+                ? 'border-purple-500 bg-purple-50 shadow-sm'
+                : 'border-gray-200 bg-white hover:border-gray-300'
+            }`}
+          >
+            <div className="flex items-center gap-3">
+              <span className="text-2xl">{m.icon}</span>
+              <div>
+                <p className={`text-sm font-semibold ${mode === m.id ? 'text-purple-900' : 'text-gray-900'}`}>
+                  {m.label}
+                </p>
+                <p className="text-xs text-gray-500 mt-0.5">{m.desc}</p>
+              </div>
+            </div>
+          </button>
+        ))}
+      </div>
+
       {/* URL Input */}
       <form onSubmit={handleSubmit} className="flex gap-3">
         <input
           type="url"
           value={url}
           onChange={e => setUrl(e.target.value)}
-          placeholder="https://example.com/datenschutz"
+          placeholder={mode === 'pre_launch'
+            ? 'https://staging.example.com/datenschutz'
+            : 'https://www.example.com/datenschutz'}
           className="flex-1 px-4 py-3 border border-gray-300 rounded-lg focus:ring-2 focus:ring-purple-500 focus:border-transparent text-sm"
           disabled={loading}
           required
@@ -87,7 +131,7 @@ export default function AgentPage() {
         history={history}
         onSelect={r => {
           setUrl(r.url)
-          analyze(r.url)
+          analyze(r.url, mode)
         }}
       />
     </div>

backend-compliance/compliance/api/agent_analyze_routes.py

@@ -41,6 +41,7 @@ SDK_HEADERS = {
 class AnalyzeRequest(BaseModel):
     url: str
     recipient: str = "dsb@breakpilot.local"
+    mode: str = "post_launch"  # "pre_launch" or "post_launch"
 
 
 class FollowUpQuestion(BaseModel):
@@ -97,12 +98,13 @@ async def analyze_url(req: AnalyzeRequest):
             esc_level = "E1"
             role = ESCALATION_ROLES["E1"]
 
-        summary = _build_summary(req.url, classification, assessment, role, findings_str, controls_str)
+        summary = _build_summary(req.url, classification, assessment, role, findings_str, controls_str, req.mode)
 
         # Step 7: Send notification
+        mode_label = "INTERNE PRUEFUNG" if req.mode == "pre_launch" else "LIVE-WEBSITE"
         email_result = send_email(
             recipient=req.recipient,
-            subject=f"Compliance-Finding: {classification} — {req.url[:60]}",
+            subject=f"[{mode_label}] Compliance-Finding: {classification} — {req.url[:60]}",
             body_html=f"<div>{summary}</div>",
         )
 
@@ -350,17 +352,27 @@ def _risk_to_escalation(risk_level: str) -> str:
 def _build_summary(
     url: str, classification: str, assessment: dict, role: str,
     findings_str: list[str], controls_str: list[str],
+    mode: str = "post_launch",
 ) -> str:
-    """Build a German manager summary."""
+    """Build a German manager summary, adapted to pre/post-launch context."""
     risk = assessment.get("risk_level", "unbekannt")
     score = assessment.get("risk_score", 0)
     recommendation = assessment.get("recommendation", "")
     dsfa = assessment.get("dsfa_recommended", False)
+    is_live = mode == "post_launch"
 
     findings_text = "\n".join(f"- {f}" for f in findings_str[:5]) if findings_str else "Keine"
     controls_text = "\n".join(f"- {c}" for c in controls_str[:5]) if controls_str else "Keine"
 
+    mode_header = (
+        "PRUEFUNG LIVE-WEBSITE — Das Dokument ist bereits oeffentlich zugaenglich."
+        if is_live else
+        "INTERNE PRUEFUNG — Das Dokument ist noch nicht veroeffentlicht."
+    )
+
     parts = [
+        mode_header,
+        "",
         f"Dokumenttyp: {classification}",
         f"Quelle: {url}",
         f"Risikobewertung: {risk} ({score}/100)",
@@ -371,6 +383,19 @@ def _build_summary(
         "",
         f"Erforderliche Massnahmen:\n{controls_text}",
     ]
+
+    if is_live and findings_str:
+        parts.extend([
+            "",
+            "ACHTUNG: Diese Maengel sind bereits oeffentlich sichtbar. "
+            "Sofortige Nachbesserung empfohlen um Abmahnrisiken zu minimieren.",
+        ])
+    elif not is_live and controls_str:
+        parts.extend([
+            "",
+            "Empfehlung: Implementieren Sie die erforderlichen Kontrollen vor der Veroeffentlichung.",
+        ])
+
     if recommendation:
-        parts.extend(["", f"Empfehlung: {recommendation}"])
+        parts.extend(["", f"Weitere Empfehlung: {recommendation}"])
     return "\n".join(parts)