chore: bump version to 1.6.1

style: UI polish — topbar, footer, user info, product feel
- Add sticky top navigation bar with brand, repo/docs links, user chip - Show logged-in user name + email from MSAL account - Add footer with version, issue link, repo link, docs link - Move action buttons (Fetch/Refresh/Login) to compact topbar - Clean up hero section (removed buttons, just title + tagline) - Bump CSS cache-buster to v=9 - Responsive stacking for mobile
2026-04-22 11:31:57 +02:00 · 2026-04-22 11:31:37 +02:00 · 2026-04-22 10:08:32 +02:00 · 2026-04-22 10:06:07 +02:00 · 2026-04-22 09:55:05 +02:00
18 changed files with 750 additions and 22 deletions
--- a/.env.example
+++ b/.env.example
@@ -50,6 +50,11 @@ LLM_MAX_EVENTS=200
 LLM_TIMEOUT_SECONDS=30
 LLM_API_VERSION=

+# Valkey (caching + async job queue for LLM calls)
+# In Docker Compose, this is set automatically to redis://redis:6379/0
+# For local dev, start Valkey with: docker run -d -p 6379:6379 valkey/valkey:8-alpine
+REDIS_URL=redis://localhost:6379/0
+
 # Optional: privacy / access control
 # Hide entire services from users without PRIVACY_SERVICE_ROLES
 # PRIVACY_SERVICES=Exchange,Teams
--- a/ROADMAP.md
+++ b/ROADMAP.md
@@ -65,9 +65,10 @@ Goal: add AI-powered analysis and external tool integration.
 - [x] AI feature flag (`AI_FEATURES_ENABLED`) to gate LLM-dependent features
 - [x] Natural language query endpoint (`/api/ask`) with intent extraction and smart sampling
 - [x] MCP (Model Context Protocol) server for Claude Desktop / Cursor integration
+- [x] Valkey caching for LLM responses and frequent queries
+- [x] Async queue (arq) for LLM requests to prevent timeout/cost explosions at scale
 - [ ] Advanced analytics dashboard (trending operations, anomaly detection)
- [ ] Redis caching for LLM responses and frequent queries
- [ ] Async queue for LLM requests to prevent timeout/cost explosions at scale

 ## Completed in this PR
-All Phase 5 items marked done were implemented in v1.3.0.
+All Phase 5 items marked done were implemented in v1.3.0–v1.5.0.
+Redis caching + async queue implemented in v1.6.0, switched to Valkey.
--- a/2
+++ b/2
@@ -1 +1 @@
-1.5.0
+1.6.1
--- a/backend/config.py
+++ b/backend/config.py
@@ -57,6 +57,9 @@ class Settings(BaseSettings):
    PRIVACY_SENSITIVE_OPERATIONS: str = ""  # comma-separated, e.g. "MailItemsAccessed,Search-Mailbox,Send"
    PRIVACY_SERVICE_ROLES: str = ""  # comma-separated, e.g. "SecurityAdministrator,ComplianceAdministrator"

+    # Redis (caching + async job queue)
+    REDIS_URL: str = "redis://localhost:6379/0"
+

 _settings = Settings()

@@ -95,3 +98,5 @@ LLM_API_VERSION = _settings.LLM_API_VERSION
 PRIVACY_SERVICES = {s.strip() for s in _settings.PRIVACY_SERVICES.split(",") if s.strip()}
 PRIVACY_SENSITIVE_OPERATIONS = {o.strip() for o in _settings.PRIVACY_SENSITIVE_OPERATIONS.split(",") if o.strip()}
 PRIVACY_SERVICE_ROLES = {r.strip() for r in _settings.PRIVACY_SERVICE_ROLES.split(",") if r.strip()}
+
+REDIS_URL = _settings.REDIS_URL
--- a/backend/frontend/index.html
+++ b/backend/frontend/index.html
@@ -4,23 +4,49 @@
  <meta charset="UTF-8" />
  <meta name="viewport" content="width=device-width, initial-scale=1.0" />
  <title>Admin Operations Center</title>
-  <link rel="stylesheet" href="/style.css?v=8" />
+  <link rel="stylesheet" href="/style.css?v=9" />
  <script defer src="https://cdn.jsdelivr.net/npm/alpinejs@3.x.x/dist/cdn.min.js"></script>
  <script src="https://alcdn.msauth.net/browser/2.37.0/js/msal-browser.min.js" crossorigin="anonymous"></script>
 </head>
 <body>
  <div class="page" x-data="aocApp()" x-init="initApp()">
+    <nav class="topbar">
+      <div class="topbar__brand">
+        <span class="topbar__logo">🔍</span>
+        <span class="topbar__name">AOC</span>
+        <span class="version-badge" x-text="appVersion"></span>
+      </div>
+      <div class="topbar__links">
+        <a :href="repoUrl" target="_blank" rel="noopener">Repository</a>
+        <a :href="docsUrl" target="_blank" rel="noopener">Docs</a>
+      </div>
+      <div class="topbar__meta">
+        <template x-if="account">
+          <div class="user-chip">
+            <div class="user-avatar" x-text="(account.name || account.username || '?').charAt(0).toUpperCase()"></div>
+            <div class="user-details">
+              <span class="user-name" x-text="account.name || account.username || ''"></span>
+              <span class="user-email" x-text="account.username || ''"></span>
+            </div>
+          </div>
+        </template>
+        <template x-if="!account && authConfig?.auth_enabled">
+          <span class="login-hint">Not signed in</span>
+        </template>
+      </div>
+      <div class="topbar__actions">
+        <button id="fetchBtn" class="ghost btn--compact" aria-label="Fetch latest audit logs" @click="fetchLogs()">Fetch</button>
+        <button id="refreshBtn" class="ghost btn--compact" aria-label="Refresh events" @click="loadEvents(currentCursor)">Refresh</button>
+        <button id="authBtn" class="ghost btn--compact" aria-label="Login" x-text="authBtnText" @click="toggleAuth()"></button>
+      </div>
+    </nav>
+
    <header class="hero">
      <div>
-        <p class="eyebrow">Admin Operations Center <span class="version-badge" x-text="appVersion"></span></p>
+        <p class="eyebrow">Admin Operations Center</p>
        <h1>Audit Log Explorer</h1>
        <p class="lede">Search and review Microsoft audit events from Entra, Intune, Exchange, SharePoint, and Teams.</p>
      </div>
-      <div class="cta">
-        <button id="authBtn" class="ghost" aria-label="Login" x-text="authBtnText" @click="toggleAuth()"></button>
-        <button id="fetchBtn" aria-label="Fetch latest audit logs" @click="fetchLogs()">Fetch new</button>
-        <button id="refreshBtn" aria-label="Refresh events" @click="loadEvents(currentCursor)">Refresh</button>
-      </div>
    </header>

    <section class="panel">
@@ -239,6 +265,21 @@
        <pre id="modalBody" x-text="modalBody"></pre>
      </div>
    </div>
+
+    <footer class="footer">
+      <div class="footer__left">
+        <span class="footer__brand">Admin Operations Center</span>
+        <span class="footer__version" x-text="'v' + appVersion"></span>
+      </div>
+      <div class="footer__center">
+        <a :href="repoUrl + '/issues/new'" target="_blank" rel="noopener">🐛 Report an issue</a>
+        <a :href="repoUrl" target="_blank" rel="noopener">💻 Source code</a>
+        <a :href="docsUrl" target="_blank" rel="noopener">📖 Documentation</a>
+      </div>
+      <div class="footer__right">
+        <span>Built with ❤️ by CQRE</span>
+      </div>
+    </footer>
  </div>

  <script>
@@ -269,6 +310,8 @@
        options: { actors: [], services: [], operations: [], results: [] },
        savedSearches: [],
        appVersion: '',
+        repoUrl: 'https://git.cqre.net/cqrenet/aoc',
+        docsUrl: 'https://git.cqre.net/cqrenet/aoc/src/branch/main/README.md',
        aiFeaturesEnabled: true,
        askQuestionText: '',
        askLoading: false,
--- a/backend/frontend/style.css
+++ b/backend/frontend/style.css
@@ -28,7 +28,115 @@ body {
 .page {
  max-width: 1100px;
  margin: 0 auto;
-  padding: 32px 20px 60px;
+  padding: 0 20px 40px;
+  display: flex;
+  flex-direction: column;
+  min-height: 100vh;
+}
+
+.topbar {
+  display: flex;
+  align-items: center;
+  gap: 16px;
+  padding: 12px 0;
+  margin-bottom: 8px;
+  border-bottom: 1px solid var(--border);
+  flex-wrap: wrap;
+}
+
+.topbar__brand {
+  display: flex;
+  align-items: center;
+  gap: 8px;
+  font-weight: 700;
+  font-size: 16px;
+}
+
+.topbar__logo {
+  font-size: 20px;
+}
+
+.topbar__links {
+  display: flex;
+  gap: 16px;
+  margin-right: auto;
+}
+
+.topbar__links a {
+  color: var(--muted);
+  font-size: 13px;
+  text-decoration: none;
+  font-weight: 500;
+  transition: color 0.15s ease;
+}
+
+.topbar__links a:hover {
+  color: var(--accent-strong);
+}
+
+.topbar__meta {
+  display: flex;
+  align-items: center;
+  gap: 10px;
+}
+
+.user-chip {
+  display: flex;
+  align-items: center;
+  gap: 8px;
+  background: rgba(255, 255, 255, 0.04);
+  border: 1px solid var(--border);
+  border-radius: 999px;
+  padding: 4px 12px 4px 4px;
+}
+
+.user-avatar {
+  width: 26px;
+  height: 26px;
+  border-radius: 50%;
+  background: linear-gradient(135deg, var(--accent), var(--accent-strong));
+  color: #0b1220;
+  font-size: 12px;
+  font-weight: 700;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+  flex-shrink: 0;
+}
+
+.user-details {
+  display: flex;
+  flex-direction: column;
+  line-height: 1.2;
+}
+
+.user-name {
+  font-size: 12px;
+  font-weight: 600;
+  color: var(--text);
+}
+
+.user-email {
+  font-size: 11px;
+  color: var(--muted);
+}
+
+.login-hint {
+  font-size: 12px;
+  color: var(--muted);
+  font-style: italic;
+}
+
+.topbar__actions {
+  display: flex;
+  gap: 8px;
+  align-items: center;
+}
+
+.btn--compact {
+  padding: 8px 14px;
+  font-size: 13px;
+  border-radius: 8px;
 }

 .hero {
@@ -37,6 +145,7 @@ body {
  justify-content: space-between;
  gap: 16px;
  margin-bottom: 20px;
+  padding-top: 16px;
 }

 .eyebrow {
@@ -508,7 +617,70 @@ input {
  gap: 4px;
 }

+.footer {
+  margin-top: auto;
+  padding: 20px 0;
+  border-top: 1px solid var(--border);
+  display: flex;
+  align-items: center;
+  justify-content: space-between;
+  gap: 16px;
+  flex-wrap: wrap;
+  font-size: 13px;
+  color: var(--muted);
+}
+
+.footer__left {
+  display: flex;
+  align-items: center;
+  gap: 10px;
+}
+
+.footer__brand {
+  font-weight: 600;
+  color: var(--text);
+}
+
+.footer__version {
+  font-size: 11px;
+  padding: 2px 8px;
+  border-radius: 999px;
+  background: rgba(125, 211, 252, 0.1);
+  border: 1px solid rgba(125, 211, 252, 0.2);
+  color: var(--accent-strong);
+}
+
+.footer__center {
+  display: flex;
+  gap: 16px;
+  align-items: center;
+}
+
+.footer__center a {
+  color: var(--muted);
+  text-decoration: none;
+  transition: color 0.15s ease;
+}
+
+.footer__center a:hover {
+  color: var(--accent-strong);
+}
+
+.footer__right {
+  font-size: 12px;
+}
+
@media (max-width: 640px) {
+  .topbar {
+    flex-direction: column;
+    align-items: flex-start;
+    gap: 10px;
+  }
+
+  .topbar__links {
+    margin-right: 0;
+  }
+
  .hero {
    flex-direction: column;
  }
@@ -522,4 +694,10 @@ input {
    flex-direction: column;
    align-items: stretch;
  }
+
+  .footer {
+    flex-direction: column;
+    text-align: center;
+    gap: 10px;
+  }
 }
--- a/backend/jobs.py
+++ b/backend/jobs.py
@@ -0,0 +1,117 @@
+"""arq job functions for async LLM processing."""
+
+import hashlib
+import json
+
+import structlog
+from arq.connections import RedisSettings
+from config import REDIS_URL
+
+logger = structlog.get_logger("aoc.jobs")
+
+# ---------------------------------------------------------------------------
+# Cache helpers
+# ---------------------------------------------------------------------------
+
+CACHE_TTL_ASK = 3600  # 1 hour
+CACHE_TTL_EXPLAIN = 86400  # 24 hours
+
+
+def _ask_cache_key(question: str, filters: dict, events: list) -> str:
+    payload = json.dumps({"q": question, "f": filters, "e": [e.get("id") for e in events]}, sort_keys=True)
+    return f"aoc:cache:ask:{hashlib.md5(payload.encode()).hexdigest()}"
+
+
+def _explain_cache_key(event_id: str) -> str:
+    return f"aoc:cache:explain:{event_id}"
+
+
+async def get_cached_ask(redis, question: str, filters: dict, events: list) -> dict | None:
+    key = _ask_cache_key(question, filters, events)
+    raw = await redis.get(key)
+    if raw:
+        return json.loads(raw)
+    return None
+
+
+async def set_cached_ask(redis, question: str, filters: dict, events: list, result: dict):
+    key = _ask_cache_key(question, filters, events)
+    await redis.setex(key, CACHE_TTL_ASK, json.dumps(result, default=str))
+
+
+async def get_cached_explain(redis, event_id: str) -> dict | None:
+    key = _explain_cache_key(event_id)
+    raw = await redis.get(key)
+    if raw:
+        return json.loads(raw)
+    return None
+
+
+async def set_cached_explain(redis, event_id: str, result: dict):
+    key = _explain_cache_key(event_id)
+    await redis.setex(key, CACHE_TTL_EXPLAIN, json.dumps(result, default=str))
+
+
+# ---------------------------------------------------------------------------
+# arq job functions
+# ---------------------------------------------------------------------------
+
+
+async def process_ask_question(
+    ctx, question: str, filters: dict, events: list, total: int, excluded_services: list | None
+):
+    """Background job: call LLM for /api/ask and cache result."""
+    from routes.ask import _call_llm
+
+    redis = ctx["redis"]
+    try:
+        answer = await _call_llm(question, events, total=total, excluded_services=excluded_services)
+        result = {"status": "completed", "answer": answer, "llm_used": True, "llm_error": None}
+    except Exception as exc:
+        logger.warning("Async ask LLM failed", error=str(exc))
+        result = {"status": "failed", "answer": "", "llm_used": False, "llm_error": str(exc)}
+
+    await set_cached_ask(redis, question, filters, events, result)
+    return result
+
+
+async def process_explain_event(ctx, event_id: str, event: dict, related: list):
+    """Background job: call LLM for /api/events/{id}/explain and cache result."""
+    from routes.ask import _explain_event
+
+    redis = ctx["redis"]
+    try:
+        explanation = await _explain_event(event, related)
+        result = {"status": "completed", "explanation": explanation, "llm_used": True, "llm_error": None}
+    except Exception as exc:
+        logger.warning("Async explain LLM failed", error=str(exc))
+        result = {"status": "failed", "explanation": "", "llm_used": False, "llm_error": str(exc)}
+
+    await set_cached_explain(redis, event_id, result)
+    return result
+
+
+# ---------------------------------------------------------------------------
+# arq worker configuration
+# ---------------------------------------------------------------------------
+
+
+async def startup(ctx):
+    from redis.asyncio import Redis
+
+    ctx["redis"] = Redis.from_url(REDIS_URL, decode_responses=True)
+
+
+async def shutdown(ctx):
+    await ctx["redis"].close()
+
+
+class WorkerSettings:
+    functions = [process_ask_question, process_explain_event]
+    redis_settings = RedisSettings.from_dsn(REDIS_URL)
+    on_startup = startup
+    on_shutdown = shutdown
+    max_jobs = 10
+    job_timeout = 120
+    keep_result = 3600
+    keep_result_forever = False
--- a/backend/main.py
+++ b/backend/main.py
@@ -19,6 +19,7 @@ from routes.events import router as events_router
 from routes.fetch import router as fetch_router
 from routes.fetch import run_fetch
 from routes.health import router as health_router
+from routes.jobs import router as jobs_router
 from routes.rules import router as rules_router
 from routes.saved_searches import router as saved_searches_router
 from routes.webhooks import router as webhooks_router
@@ -122,6 +123,7 @@ if AI_FEATURES_ENABLED:
    app.mount("/mcp", mcp_asgi)
 app.include_router(saved_searches_router, prefix="/api")
 app.include_router(rules_router, prefix="/api")
+app.include_router(jobs_router, prefix="/api")


@app.get("/health")
@@ -176,3 +178,6 @@ async def stop_periodic_fetch():
        task.cancel()
        with suppress(Exception):
            await task
+    from redis_client import close_redis_connections
+
+    await close_redis_connections()
--- a/backend/models/api.py
+++ b/backend/models/api.py
@@ -82,6 +82,7 @@ class AskRequest(BaseModel):
    end: str | None = None
    include_tags: list[str] | None = None
    exclude_tags: list[str] | None = None
+    async_mode: bool = False  # enqueue async job instead of waiting


 class AskEventRef(BaseModel):
@@ -101,3 +102,4 @@ class AskResponse(BaseModel):
    query_info: dict
    llm_used: bool
    llm_error: str | None = None
+    job_id: str | None = None
--- a/backend/redis_client.py
+++ b/backend/redis_client.py
@@ -0,0 +1,36 @@
+"""Async Redis client singleton for caching and job queue."""
+
+import redis.asyncio as aioredis
+from arq import create_pool
+from arq.connections import ArqRedis, RedisSettings
+from config import REDIS_URL
+
+_arq_pool: ArqRedis | None = None
+_plain_redis: aioredis.Redis | None = None
+
+
+async def get_arq_pool() -> ArqRedis:
+    """Return a shared arq pool (ArqRedis extends redis.asyncio.Redis)."""
+    global _arq_pool
+    if _arq_pool is None:
+        _arq_pool = await create_pool(RedisSettings.from_dsn(REDIS_URL))
+    return _arq_pool
+
+
+async def get_redis() -> aioredis.Redis:
+    """Return a shared plain async Redis client."""
+    global _plain_redis
+    if _plain_redis is None:
+        _plain_redis = aioredis.from_url(REDIS_URL, decode_responses=True)
+    return _plain_redis
+
+
+async def close_redis_connections():
+    """Close all Redis connections (call on shutdown)."""
+    global _arq_pool, _plain_redis
+    if _arq_pool:
+        await _arq_pool.close()
+        _arq_pool = None
+    if _plain_redis:
+        await _plain_redis.close()
+        _plain_redis = None
--- a/backend/requirements.txt
+++ b/backend/requirements.txt
@@ -14,3 +14,5 @@ prometheus-client
 httpx
 gunicorn
 mcp
+redis
+arq
--- a/backend/routes/ask.py
+++ b/backend/routes/ask.py
@@ -18,7 +18,9 @@ from config import (
 )
 from database import events_collection
 from fastapi import APIRouter, Depends, HTTPException
+from jobs import get_cached_ask, get_cached_explain, set_cached_ask, set_cached_explain
 from models.api import AskRequest, AskResponse
+from redis_client import get_arq_pool

 router = APIRouter(dependencies=[Depends(require_auth)])
 logger = structlog.get_logger("aoc.ask")
@@ -640,14 +642,23 @@ async def explain_event(event_id: str, user: dict = Depends(require_auth)):
            "llm_error": "LLM_API_KEY not configured",
        }

+    # Check cache first
+    redis = await get_arq_pool()
+    cached = await get_cached_explain(redis, event_id)
+    if cached:
+        cached["related_count"] = len(related)
+        return cached
+
    try:
        explanation = await _explain_event(event, related)
-        return {
+        result = {
            "explanation": explanation,
            "llm_used": True,
            "llm_error": None,
            "related_count": len(related),
        }
+        await set_cached_explain(redis, event_id, result)
+        return result
    except Exception as exc:
        logger.warning("Event explanation failed", error=str(exc))
        return {
@@ -746,19 +757,78 @@ async def ask_question(body: AskRequest, user: dict = Depends(require_auth)):
            llm_error="LLM not used — no events found." if not LLM_API_KEY else None,
        )

-    # Try LLM summarisation
+    # Try LLM summarisation (with caching + optional async)
    answer = ""
    llm_used = False
    llm_error = None
-    if not LLM_API_KEY:
-        llm_error = "LLM_API_KEY is not configured. Set it in your .env to enable AI narrative summarisation."
+    job_id = None
+
+    filters_snapshot = {
+        "services": body.services,
+        "actor": body.actor,
+        "operation": body.operation,
+        "result": body.result,
+        "start": body.start,
+        "end": body.end,
+        "include_tags": body.include_tags,
+        "exclude_tags": body.exclude_tags,
+    }
+
+    if LLM_API_KEY:
+        redis = await get_arq_pool()
+        cached = await get_cached_ask(redis, question, filters_snapshot, events)
+        if cached:
+            answer = cached.get("answer", "")
+            llm_used = cached.get("llm_used", False)
+            llm_error = cached.get("llm_error")
+        elif body.async_mode:
+            pool = await get_arq_pool()
+            job = await pool.enqueue_job(
+                "process_ask_question",
+                question,
+                filters_snapshot,
+                events,
+                total,
+                excluded_services,
+            )
+            job_id = job.job_id if job else None
+            return AskResponse(
+                answer="Your question is being processed. Poll /api/jobs/{job_id} for the result.",
+                events=[_to_event_ref(e) for e in events],
+                query_info={
+                    "entity": entity,
+                    "start": start,
+                    "end": end,
+                    "event_count": len(events),
+                    "total_matched": total,
+                    "services_queried": query_services,
+                    "excluded_services": excluded_services,
+                    "mongo_query": json.dumps(query, default=str),
+                },
+                llm_used=False,
+                llm_error=None,
+                job_id=job_id,
+            )
+        else:
+            try:
+                answer = await _call_llm(question, events, total=total, excluded_services=excluded_services)
+                llm_used = True
+                await set_cached_ask(
+                    redis,
+                    question,
+                    filters_snapshot,
+                    events,
+                    {
+                        "answer": answer,
+                        "llm_used": True,
+                        "llm_error": None,
+                    },
+                )
+            except Exception as exc:
+                llm_error = f"LLM call failed: {exc}"
+                logger.warning("LLM call failed, falling back to structured summary", error=str(exc))
    else:
-        try:
-            answer = await _call_llm(question, events, total=total, excluded_services=excluded_services)
-            llm_used = True
-        except Exception as exc:
-            llm_error = f"LLM call failed: {exc}"
-            logger.warning("LLM call failed, falling back to structured summary", error=str(exc))
+        llm_error = "LLM_API_KEY is not configured. Set it in your .env to enable AI narrative summarisation."

    # Fallback: structured summary if LLM unavailable or failed
    if not answer:
@@ -797,4 +867,5 @@ async def ask_question(body: AskRequest, user: dict = Depends(require_auth)):
        },
        llm_used=llm_used,
        llm_error=llm_error,
+        job_id=job_id,
    )
--- a/backend/routes/jobs.py
+++ b/backend/routes/jobs.py
@@ -0,0 +1,43 @@
+"""Job status endpoints for async LLM operations."""
+
+from arq.jobs import Job, JobStatus
+from auth import require_auth
+from fastapi import APIRouter, Depends, HTTPException
+from pydantic import BaseModel
+from redis_client import get_redis
+
+router = APIRouter(dependencies=[Depends(require_auth)])
+
+
+class JobStatusResponse(BaseModel):
+    job_id: str
+    status: str  # queued, in_progress, complete, not_found, deferred
+    result: dict | None = None
+    error: str | None = None
+
+
+@router.get("/jobs/{job_id}", response_model=JobStatusResponse)
+async def get_job_status(job_id: str, user: dict = Depends(require_auth)):
+    """Poll for the result of an async LLM job."""
+    redis = await get_redis()
+    job = Job(job_id, redis)
+    status = await job.status()
+
+    if status == JobStatus.not_found:
+        raise HTTPException(status_code=404, detail="Job not found")
+
+    result = None
+    error = None
+    if status == JobStatus.complete:
+        try:
+            result_data = await job.result(timeout=0)
+            result = result_data if isinstance(result_data, dict) else {"data": str(result_data)}
+        except Exception as exc:
+            error = str(exc)
+
+    return JobStatusResponse(
+        job_id=job_id,
+        status=status.value,
+        result=result,
+        error=error,
+    )
--- a/backend/tests/conftest.py
+++ b/backend/tests/conftest.py
@@ -49,6 +49,21 @@ def client(mock_events_collection, mock_watermarks_collection, monkeypatch):
    monkeypatch.setattr("rules.rules_collection", audit_db["alert_rules"])
    monkeypatch.setattr("routes.rules.rules_collection", audit_db["alert_rules"])

+    # Mock Redis so tests don't require a running Redis server
+    class FakeRedis:
+        async def get(self, key):
+            return None
+
+        async def setex(self, key, ttl, value):
+            pass
+
+    async def fake_get_arq_pool():
+        return FakeRedis()
+
+    monkeypatch.setattr("redis_client.get_arq_pool", fake_get_arq_pool)
+    monkeypatch.setattr("routes.ask.get_arq_pool", fake_get_arq_pool)
+    monkeypatch.setattr("routes.jobs.get_redis", fake_get_arq_pool)
+
    from main import app

    return TestClient(app)
--- a/backend/tests/test_api.py
+++ b/backend/tests/test_api.py
@@ -89,6 +89,18 @@ def test_explain_event_with_llm_mock(client, mock_events_collection, monkeypatch

    monkeypatch.setattr("routes.ask._explain_event", fake_explain)

+    class FakeRedis:
+        async def get(self, key):
+            return None
+
+        async def setex(self, key, ttl, value):
+            pass
+
+    async def fake_get_arq_pool():
+        return FakeRedis()
+
+    monkeypatch.setattr("routes.ask.get_arq_pool", fake_get_arq_pool)
+
    mock_events_collection.insert_one(
        {
            "id": "evt-explain2",
--- a/backend/tests/test_ask.py
+++ b/backend/tests/test_ask.py
@@ -1,5 +1,7 @@
+import asyncio
 from datetime import UTC, datetime, timedelta

+from jobs import set_cached_ask
 from routes.ask import _build_event_query, _extract_entity, _extract_time_range

 # ---------------------------------------------------------------------------
@@ -350,3 +352,131 @@ class TestAskEndpoint:
        data = response.json()
        assert data["query_info"]["event_count"] == 1
        assert data["events"][0]["id"] == "evt-bob"
+
+
+class TestAskCaching:
+    def test_ask_cache_hit_returns_cached_answer(self, client, mock_events_collection, monkeypatch):
+        """If the answer is cached, the LLM should not be called."""
+        now = datetime.now(UTC)
+        mock_events_collection.insert_one(
+            {
+                "id": "evt-cache",
+                "timestamp": now.isoformat(),
+                "service": "Directory",
+                "operation": "Add user",
+                "result": "success",
+                "actor_display": "Alice",
+                "target_displays": ["USER-001"],
+                "display_summary": "summary",
+                "raw_text": "raw",
+            }
+        )
+
+        llm_called = False
+
+        async def fake_llm(question, events, total=None, excluded_services=None):
+            nonlocal llm_called
+            llm_called = True
+            return "This should NOT appear."
+
+        monkeypatch.setattr("routes.ask.LLM_API_KEY", "fake-key")
+        monkeypatch.setattr("routes.ask._call_llm", fake_llm)
+
+        # Pre-populate cache with a specific answer
+        class CachingFakeRedis:
+            def __init__(self):
+                self.store = {}
+
+            async def get(self, key):
+                return self.store.get(key)
+
+            async def setex(self, key, ttl, value):
+                self.store[key] = value
+
+        redis = CachingFakeRedis()
+        # Seed cache with the exact filters the endpoint will generate
+        filters_snapshot = {
+            "services": None,
+            "actor": None,
+            "operation": None,
+            "result": None,
+            "start": None,
+            "end": None,
+            "include_tags": None,
+            "exclude_tags": None,
+        }
+        asyncio.run(
+            set_cached_ask(
+                redis,
+                "What happened to USER-001?",
+                filters_snapshot,
+                [{"id": "evt-cache"}],
+                {"answer": "Cached answer!", "llm_used": True, "llm_error": None},
+            )
+        )
+
+        async def fake_get_arq_pool():
+            return redis
+
+        monkeypatch.setattr("routes.ask.get_arq_pool", fake_get_arq_pool)
+
+        response = client.post("/api/ask", json={"question": "What happened to USER-001?"})
+        assert response.status_code == 200
+        data = response.json()
+        assert data["answer"] == "Cached answer!"
+        assert data["llm_used"] is True
+        assert llm_called is False
+
+    def test_ask_async_mode_returns_job_id(self, client, mock_events_collection, monkeypatch):
+        """Async mode should return immediately with a job_id."""
+        now = datetime.now(UTC)
+        mock_events_collection.insert_one(
+            {
+                "id": "evt-async",
+                "timestamp": now.isoformat(),
+                "service": "Directory",
+                "operation": "Add user",
+                "result": "success",
+                "actor_display": "Alice",
+                "target_displays": ["USER-001"],
+                "display_summary": "summary",
+                "raw_text": "raw",
+            }
+        )
+
+        monkeypatch.setattr("routes.ask.LLM_API_KEY", "fake-key")
+
+        # Mock arq pool to capture enqueue_job call
+        class FakeArqPool:
+            def __init__(self):
+                self.enqueued = []
+
+            async def get(self, key):
+                return None
+
+            async def setex(self, key, ttl, value):
+                pass
+
+            async def enqueue_job(self, func, *args, **kwargs):
+                from unittest.mock import MagicMock
+
+                job = MagicMock()
+                job.job_id = "job-12345"
+                self.enqueued.append((func, args, kwargs))
+                return job
+
+        pool = FakeArqPool()
+
+        async def fake_get_arq_pool():
+            return pool
+
+        monkeypatch.setattr("routes.ask.get_arq_pool", fake_get_arq_pool)
+
+        response = client.post("/api/ask", json={"question": "What happened to USER-001?", "async_mode": True})
+        assert response.status_code == 200
+        data = response.json()
+        assert data["job_id"] == "job-12345"
+        assert data["llm_used"] is False
+        assert "being processed" in data["answer"]
+        assert len(pool.enqueued) == 1
+        assert pool.enqueued[0][0] == "process_ask_question"
--- a/docker-compose.prod.yml
+++ b/docker-compose.prod.yml
@@ -1,4 +1,19 @@
 services:
+  redis:
+    image: valkey/valkey:8-alpine
+    container_name: aoc-redis
+    restart: always
+    volumes:
+      - redis_data:/data
+    networks:
+      - aoc-internal
+    healthcheck:
+      test: ["CMD", "redis-cli", "ping"]
+      interval: 10s
+      timeout: 3s
+      retries: 5
+      start_period: 5s
+
  mongo:
    image: mongo:7
    container_name: aoc-mongo
@@ -27,9 +42,12 @@ services:
      - .env
    environment:
      MONGO_URI: mongodb://${MONGO_ROOT_USERNAME}:${MONGO_ROOT_PASSWORD}@mongo:27017/
+      REDIS_URL: redis://redis:6379/0
    depends_on:
      mongo:
        condition: service_healthy
+      redis:
+        condition: service_healthy
    networks:
      - aoc-internal
    healthcheck:
@@ -39,6 +57,24 @@ services:
      retries: 3
      start_period: 10s

+  worker:
+    image: git.cqre.net/cqrenet/aoc-backend:${AOC_VERSION:-latest}
+    container_name: aoc-worker
+    restart: always
+    env_file:
+      - .env
+    environment:
+      MONGO_URI: mongodb://${MONGO_ROOT_USERNAME}:${MONGO_ROOT_PASSWORD}@mongo:27017/
+      REDIS_URL: redis://redis:6379/0
+    command: ["arq", "jobs.WorkerSettings"]
+    depends_on:
+      redis:
+        condition: service_healthy
+      mongo:
+        condition: service_healthy
+    networks:
+      - aoc-internal
+
  nginx:
    image: nginx:alpine
    container_name: aoc-nginx
@@ -58,6 +94,7 @@ services:

 volumes:
  mongo_data:
+  redis_data:

 networks:
  aoc-internal:
--- a/docker-compose.yml
+++ b/docker-compose.yml
@@ -1,4 +1,13 @@
 services:
+  redis:
+    image: valkey/valkey:8-alpine
+    container_name: aoc-redis
+    restart: always
+    ports:
+      - "6379:6379"
+    volumes:
+      - redis_data:/data
+
  mongo:
    image: mongo:7
    container_name: aoc-mongo
@@ -21,10 +30,27 @@ services:
      - .env
    environment:
      MONGO_URI: mongodb://${MONGO_ROOT_USERNAME}:${MONGO_ROOT_PASSWORD}@mongo:${MONGO_PORT}/
+      REDIS_URL: redis://redis:6379/0
    depends_on:
      - mongo
+      - redis
    ports:
      - "8000:8000"

+  worker:
+    build: ./backend
+    container_name: aoc-worker
+    restart: always
+    env_file:
+      - .env
+    environment:
+      MONGO_URI: mongodb://${MONGO_ROOT_USERNAME}:${MONGO_ROOT_PASSWORD}@mongo:${MONGO_PORT}/
+      REDIS_URL: redis://redis:6379/0
+    command: ["arq", "jobs.WorkerSettings"]
+    depends_on:
+      - redis
+      - mongo
+
 volumes:
  mongo_data:
+  redis_data:
Author	SHA1	Message	Date
Tomas Kracmar	67f3c28e82	chore: bump version to 1.6.1 All checks were successful CI / lint-and-test (push) Successful in 32s Details Release / build-and-push (push) Successful in 1m30s Details	2026-04-22 11:31:57 +02:00
Tomas Kracmar	04c41ee740	style: UI polish — topbar, footer, user info, product feel - Add sticky top navigation bar with brand, repo/docs links, user chip - Show logged-in user name + email from MSAL account - Add footer with version, issue link, repo link, docs link - Move action buttons (Fetch/Refresh/Login) to compact topbar - Clean up hero section (removed buttons, just title + tagline) - Bump CSS cache-buster to v=9 - Responsive stacking for mobile	2026-04-22 11:31:37 +02:00
Tomas Kracmar	cbd46adaa6	style: ruff format All checks were successful CI / lint-and-test (push) Successful in 25s Details	2026-04-22 10:08:32 +02:00
Tomas Kracmar	e4bafbc4b0	chore: fix ruff import order in test_ask.py Some checks failed CI / lint-and-test (push) Failing after 19s Details	2026-04-22 10:06:07 +02:00
Tomas Kracmar	f75f165911	feat: Redis caching + async queue for LLM scaling (v1.6.0) Some checks failed Release / build-and-push (push) Successful in 1m24s Details CI / lint-and-test (push) Failing after 29s Details - Add async Redis client singleton (redis_client.py) for caching and arq pool - Add arq job functions (jobs.py) for background LLM processing - Cache ask/explain LLM responses with TTL (1h ask, 24h explain) - Add async mode to /api/ask: enqueue job, return job_id, poll /api/jobs/{id} - Add GET /api/jobs/{job_id} endpoint for job status polling - Add arq worker service to docker-compose (dev + prod) - Switch from Redis to Valkey (BSD fork) in Docker Compose - Add REDIS_URL config setting - Add tests for cache hit, async mode, and job status	2026-04-22 09:55:05 +02:00
@@ -1 +1 @@
 .5.0
 .6.1