feat: ACN Application Security Standard V7.30 compliance (19/23 items)

CRITICAL — Authentication & Access:
- TOTP MFA: otpauth-based, QR setup UI, sign-in flow integration,
  admin disable override, /account/security self-service page
- Session Timeouts: 8h absolute (maxAge), 30min idle (updateAge)
- Failed Auth Logging: Pino warn for invalid password/user/totp,
  info for successful login, audit entries for all auth events
- Concurrent Session Limit: ActiveSession model, oldest-kick strategy,
  max 3 per user (configurable in SystemSettings)

CRITICAL — HTTP Security:
- HSTS: max-age=31536000; includeSubDomains
- CSP: script/style/img/font/connect-src with Gemini/OpenAI whitelist
- X-XSS-Protection: 0 (CSP replaces legacy)
- Auth page cache: no-store, no-cache, must-revalidate
- Rate Limiting: 100/15min general API, 5/15min auth (Map-based)

Data Protection:
- XSS Sanitization: DOMPurify on comment bodies
- autocomplete="new-password" on all password/secret fields
- SameSite=Strict on all cookies (Credentials-only, no OAuth)
- File Upload Magic Bytes validation (PNG/JPEG/WebP/GIF/BMP/TIFF)

Logging & Monitoring:
- Login/Logout audit entries (Auth entityType)
- External API call logging with timing (OpenAI, Gemini)
- Input validation failure logging at warn level
- Concurrent session tracking in ActiveSession table

Documentation:
- docs/security-architecture.md (11 sections)
- docs/sdlc.md (CI pipeline, security gates, incident response)
- .gitea/PULL_REQUEST_TEMPLATE.md (security checklist)

Schema: User.totpSecret/totpEnabled, SystemSettings.sessionMaxAge/
sessionIdleTimeout/maxConcurrentSessions, ActiveSession model

Tests: 310 engine + 37 staffing pass. TypeScript clean.

Co-Authored-By: claude-flow <ruv@ruv.net>

packages/api/src/ai-client.ts

@@ -1,4 +1,5 @@
 import OpenAI, { AzureOpenAI } from "openai";
+import { logger } from "./lib/logger.js";
 
 type AiSettings = {
   aiProvider?: string | null;
@@ -60,6 +61,30 @@ export function createDalleClient(settings: AiSettings): OpenAI {
   return new OpenAI({ apiKey: settings.azureOpenAiApiKey! });
 }
 
+/**
+ * Wraps an external AI API call with timing and structured logging.
+ * Use this around any chat.completions.create / images.generate / responses.create call.
+ */
+export async function loggedAiCall<T>(
+  provider: string,
+  model: string,
+  promptLength: number,
+  fn: () => Promise<T>,
+): Promise<T> {
+  const start = performance.now();
+  try {
+    const result = await fn();
+    const responseTimeMs = Math.round(performance.now() - start);
+    logger.info({ provider, model, promptLength, responseTimeMs }, "External API call");
+    return result;
+  } catch (err) {
+    const responseTimeMs = Math.round(performance.now() - start);
+    const errorMessage = err instanceof Error ? err.message : String(err);
+    logger.warn({ provider, model, promptLength, responseTimeMs, errorMessage }, "External API call failed");
+    throw err;
+  }
+}
+
 /** Turns raw API errors into actionable human-readable messages. */
 export function parseAiError(err: unknown): string {
   const msg = err instanceof Error ? err.message : String(err);