Add Command Center v2: DQ/RAG integration, S3 browser, Jupyter, GPU matrix.

Mirror mo/atc-GPU layout with config/, docs/, scripts/ for Gitea deploy.

Dockerfile

@@ -0,0 +1,11 @@
+FROM node:22-alpine AS build
+WORKDIR /app
+COPY package.json ./
+RUN npm install
+COPY . .
+RUN npm run build
+
+FROM nginx:alpine
+COPY --from=build /app/dist /usr/share/nginx/html
+COPY nginx.conf /etc/nginx/conf.d/default.conf
+EXPOSE 80

README.md

@@ -8,7 +8,7 @@ Autonomous agent hub for the Dell ATC lab — Ops Floor UI, FastAPI backend, 5 o
 docker compose up -d --build
 ```
 
-Open: **http://atc-mcp.dell-atc.lan/** (or `http://10.0.21.33/`)
+Open: **http://10.0.21.33/**
 
 ## Stack
 
@@ -19,10 +19,60 @@ Open: **http://atc-mcp.dell-atc.lan/** (or `http://10.0.21.33/`)
 
 ## VM 304 (MCP)
 
-- Host: `atc-mcp.dell-atc.lan` → DHCP on VLAN 20 (`br_20`)
+- IP: `10.0.21.33` (DHCP on VLAN 20 / `br_20`)
 - Proxmox VMID **304** on **atc-gpu**
 - SSH: `root` / `Dell2026!`
 
 ## Gitea
 
 `http://atc-mgt01.dell-atc.lan:3001/mo/atc-agents`
+# ATC Command Center — Gitea layout
+
+This repo follows the same pattern as **`mo/atc-GPU`** and **`mo/Lakehouse`**.
+
+## Related repos (Gitea @ atc-mgt01:3001)
+
+| Repo | Path on VM304 | Purpose |
+|------|---------------|---------|
+| **mo/atc-agents** | `/opt/atc-agents` | Command Center UI + API + docker-compose |
+| **mo/atc-data-quality** | `/opt/atc-data-quality` | DQ API + RAG API |
+| **mo/atc-GPU** | GPU lab VM303 | vLLM, model-manager |
+| **mo/Lakehouse** | lake01 / docker hosts | Kafka, Spark, Trino, ObjectScale config |
+
+## This repo structure
+
+```
+atc-agents/
+├── api/                 FastAPI backend
+├── ui/                  React dashboard
+├── caddy/               Reverse proxy routes
+├── config/              Deploy reference (mirrors production)
+│   ├── command-center/  docker-compose, Caddyfile, .env.example
+│   ├── data-quality/    Link to mo/atc-data-quality
+│   └── jupyter/         JupyterLab service snippet
+├── docs/                Runbooks
+├── scripts/             deploy.sh
+└── docker-compose.yml   Production stack (clone with atc-data-quality sibling)
+```
+
+## Deploy
+
+```bash
+git clone http://atc-mgt01.dell-atc.lan:3001/mo/atc-agents.git /opt/atc-agents
+git clone http://atc-mgt01.dell-atc.lan:3001/mo/atc-data-quality.git /opt/atc-data-quality
+cp config/command-center/.env.example /opt/atc-agents/.env   # edit secrets
+./scripts/deploy.sh
+```
+
+Open: **http://10.0.21.33/**
+
+## Services (port 80 via Caddy)
+
+| Route | Service |
+|-------|---------|
+| `/` | React UI |
+| `/api/*` | Agents API |
+| `/dq/*` | Data Quality API |
+| `/rag/*` | Knowledge Chat / RAG |
+| `/jupyter/*` | JupyterLab (S3 env preconfigured) |
+| `:5001` | Docling UI (direct) |

agent_terminal.py

@@ -0,0 +1,71 @@
+"""Per-agent live terminal buffers and streaming."""
+
+from __future__ import annotations
+
+import uuid
+from collections import deque
+from datetime import datetime, timezone
+from typing import Any, Awaitable, Callable
+
+MAX_LINES_PER_AGENT = 300
+
+PublishFn = Callable[[dict[str, Any]], Awaitable[None]]
+
+_buffers: dict[str, deque[dict[str, Any]]] = {}
+_publish: PublishFn | None = None
+
+
+def init_terminals(agent_ids: list[str]) -> None:
+    for aid in agent_ids:
+        if aid not in _buffers:
+            _buffers[aid] = deque(maxlen=MAX_LINES_PER_AGENT)
+
+
+def set_terminal_publisher(fn: PublishFn) -> None:
+    global _publish
+    _publish = fn
+
+
+def get_terminal_lines(agent_id: str, limit: int = 200) -> list[dict[str, Any]]:
+    buf = _buffers.get(agent_id, deque())
+    items = list(buf)
+    return items[-limit:]
+
+
+def get_all_terminals(limit: int = 200) -> dict[str, list[dict[str, Any]]]:
+    return {aid: get_terminal_lines(aid, limit) for aid in _buffers}
+
+
+async def terminal_log(
+    agent_id: str,
+    text: str,
+    *,
+    level: str = "info",
+    phase: str = "ops",
+    prompt_id: str | None = None,
+) -> dict[str, Any]:
+    init_terminals([agent_id])
+    line = {
+        "id": str(uuid.uuid4())[:8],
+        "ts": datetime.now(timezone.utc).isoformat(),
+        "agent_id": agent_id,
+        "level": level,
+        "phase": phase,
+        "text": text,
+        "prompt_id": prompt_id,
+    }
+    _buffers[agent_id].append(line)
+    if _publish:
+        await _publish({"type": "terminal", "line": line})
+    return line
+
+
+# Type: async (level, phase, text) -> None
+TerminalLogFn = Callable[[str, str, str], Awaitable[None]]
+
+
+def make_logger(agent_id: str, prompt_id: str | None = None) -> TerminalLogFn:
+    async def log(level: str, phase: str, text: str) -> None:
+        await terminal_log(agent_id, text, level=level, phase=phase, prompt_id=prompt_id)
+
+    return log

api/Dockerfile

@@ -4,7 +4,7 @@ WORKDIR /app
 RUN apt-get update && apt-get install -y --no-install-recommends curl && rm -rf /var/lib/apt/lists/*
 COPY requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
-COPY main.py .
+COPY main.py lab_context.py agent_terminal.py workload.py node_registry.py node_ops.py topology_views.py supervisor.py approval_service.py db.py dockhand_envs.py presentation.py database_inventory.py presentation_upload.py presentation_static.py storage_s3.py .
 RUN mkdir -p /data
 ENV DATABASE_URL=sqlite:////data/atc-agents.db
 EXPOSE 3201

api/agent_terminal.py

@@ -0,0 +1,72 @@
+"""Per-agent live terminal buffers and streaming."""
+
+from __future__ import annotations
+
+import uuid
+from collections import deque
+from datetime import datetime, timezone
+from typing import Any, Awaitable, Callable
+
+MAX_LINES_PER_AGENT = 300
+
+PublishFn = Callable[[dict[str, Any]], Awaitable[None]]
+
+_buffers: dict[str, deque[dict[str, Any]]] = {}
+_publish: PublishFn | None = None
+
+
+def init_terminals(agent_ids: list[str]) -> None:
+    for aid in agent_ids:
+        if aid not in _buffers:
+            _buffers[aid] = deque(maxlen=MAX_LINES_PER_AGENT)
+
+
+def set_terminal_publisher(fn: PublishFn) -> None:
+    global _publish
+    _publish = fn
+
+
+def get_terminal_lines(agent_id: str, limit: int = 200) -> list[dict[str, Any]]:
+    buf = _buffers.get(agent_id, deque())
+    items = list(buf)
+    return items[-limit:]
+
+
+def get_all_terminals(limit: int = 200) -> dict[str, list[dict[str, Any]]]:
+    return {aid: get_terminal_lines(aid, limit) for aid in _buffers}
+
+
+async def terminal_log(
+    agent_id: str,
+    text: str,
+    *,
+    level: str = "info",
+    phase: str = "ops",
+    prompt_id: str | None = None,
+    mirror: bool = True,
+) -> dict[str, Any]:
+    init_terminals([agent_id])
+    line = {
+        "id": str(uuid.uuid4())[:8],
+        "ts": datetime.now(timezone.utc).isoformat(),
+        "agent_id": agent_id,
+        "level": level,
+        "phase": phase,
+        "text": text,
+        "prompt_id": prompt_id,
+    }
+    _buffers[agent_id].append(line)
+    if _publish and mirror:
+        await _publish({"type": "terminal", "line": line})
+    return line
+
+
+# Type: async (level, phase, text) -> None
+TerminalLogFn = Callable[[str, str, str], Awaitable[None]]
+
+
+def make_logger(agent_id: str, prompt_id: str | None = None) -> TerminalLogFn:
+    async def log(level: str, phase: str, text: str) -> None:
+        await terminal_log(agent_id, text, level=level, phase=phase, prompt_id=prompt_id)
+
+    return log

api/approval_service.py

@@ -0,0 +1,248 @@
+"""Approval workflow — agents request; Mo & Bart approve before mutating actions."""
+
+from __future__ import annotations
+
+import json
+import re
+from datetime import datetime, timezone
+from typing import Any, Awaitable, Callable
+
+from sqlalchemy import select
+from sqlalchemy.orm import Session
+
+APPROVAL_ACTION_TYPES = {
+    "docker.restart": "Docker container restart",
+    "docker.update": "Docker image update / pull",
+    "docker.recreate": "Docker container recreate",
+    "docker.stop": "Docker container stop",
+    "docker.remove": "Docker container remove",
+    "docker.compose": "Docker Compose deploy",
+    "docker.prune": "Docker prune / cleanup",
+    "db.migrate": "Database schema migration",
+    "db.restart": "Database service restart",
+    "etl.restart": "ETL / connector restart",
+    "kafka.reset": "Kafka topic / offset reset",
+    "hdfs.mutate": "HDFS destructive operation",
+    "infra.reboot": "VM / host reboot",
+    "generic.mutate": "Infrastructure change",
+}
+
+SUPERVISOR_IDS = ["mo-commander", "bart-commander"]
+
+_INTENT_PATTERNS: list[tuple[re.Pattern[str], str]] = [
+    (re.compile(r"\b(restart|herstart|reboot)\b.*\b(container|docker|stack|service|mysql|postgres|kafka|airflow)"), "docker.restart"),
+    (re.compile(r"\b(update|upgrade|updaten|pull|pullen)\b.*\b(docker|image|container|stack|compose)"), "docker.update"),
+    (re.compile(r"\b(recreate|rebuild|redeploy|deploy|opnieuw)\b.*\b(container|docker|stack|compose|service)"), "docker.recreate"),
+    (re.compile(r"\b(stop|stoppen|shutdown)\b.*\b(container|docker|service)"), "docker.stop"),
+    (re.compile(r"\b(remove|delete|verwijder|rm|prune|opschonen)\b.*\b(container|docker|image|volume)"), "docker.remove"),
+    (re.compile(r"\b(docker compose|compose up|stack deploy)"), "docker.compose"),
+    (re.compile(r"\b(migrate|migration|schema change)\b.*\b(db|database|postgres|mysql)"), "db.migrate"),
+    (re.compile(r"\b(restart|herstart)\b.*\b(db|database|postgres|mysql|mongo|cassandra)"), "db.restart"),
+    (re.compile(r"\b(restart|reset)\b.*\b(connector|debezium|kafka connect)"), "etl.restart"),
+    (re.compile(r"\b(reset|truncate|drop)\b.*\b(topic|kafka|offset)"), "kafka.reset"),
+    (re.compile(r"\b(reboot|restart)\b.*\b(vm|host|server|node|proxmox)"), "infra.reboot"),
+]
+
+_RESPONSE_ACTION_PATTERN = re.compile(
+    r"\b(will|ga|moet|plan to|going to|propose|voorstel)\b.*\b(restart|update|pull|recreate|deploy|stop|remove|reboot|migrate)",
+    re.I,
+)
+
+
+def detect_approval_intent(text: str) -> dict[str, Any] | None:
+    lower = text.lower().strip()
+    for pattern, action_type in _INTENT_PATTERNS:
+        if pattern.search(lower):
+            return {
+                "action_type": action_type,
+                "action": text.strip()[:500],
+                "reason": f"Mutating operation detected ({APPROVAL_ACTION_TYPES.get(action_type, action_type)})",
+            }
+    return None
+
+
+def detect_agent_proposed_action(llm_answer: str, original_message: str) -> dict[str, Any] | None:
+    if not _RESPONSE_ACTION_PATTERN.search(llm_answer):
+        return None
+    intent = detect_approval_intent(llm_answer) or detect_approval_intent(original_message)
+    if intent:
+        intent["reason"] = f"Agent proposed action in mission response: {intent['reason']}"
+        intent["action"] = llm_answer.strip()[:500]
+    return intent
+
+
+def approval_to_dict(row: Any) -> dict[str, Any]:
+    payload: dict[str, Any] = {}
+    raw_payload = getattr(row, "payload", None)
+    if raw_payload:
+        try:
+            payload = json.loads(raw_payload)
+        except (json.JSONDecodeError, TypeError):
+            payload = {"raw": raw_payload}
+    decided_at = getattr(row, "decided_at", None)
+    return {
+        "id": row.id,
+        "ts": row.ts.isoformat() if row.ts else None,
+        "agent_id": row.agent_id,
+        "action": row.action,
+        "reason": row.reason,
+        "status": row.status,
+        "action_type": getattr(row, "action_type", None) or "generic.mutate",
+        "target": getattr(row, "target", None) or "",
+        "payload": payload,
+        "decided_by": getattr(row, "decided_by", None),
+        "decide_note": getattr(row, "decide_note", None),
+        "decided_at": decided_at.isoformat() if decided_at else None,
+        "priority": getattr(row, "priority", None) or "normal",
+    }
+
+
+def migrate_approval_columns(engine: Any) -> None:
+    """Legacy shim — migrations live in db.py."""
+    from db import migrate_approval_columns as _migrate
+
+    _migrate(engine)
+
+
+async def create_approval_request(
+    *,
+    db: Session,
+    ApprovalModel: type,
+    agent_id: str,
+    action: str,
+    reason: str,
+    action_type: str = "generic.mutate",
+    target: str = "",
+    payload: dict | None = None,
+    priority: str = "normal",
+    terminal_log: Callable[..., Awaitable[None]] | None = None,
+    mirror_supervisors: Callable[..., Awaitable[None]] | None = None,
+    publish: Callable[[dict], Awaitable[None]] | None = None,
+    add_feed: Callable[[str, str, str], dict] | None = None,
+) -> dict[str, Any]:
+    import uuid
+
+    approval_id = str(uuid.uuid4())[:10]
+    now = datetime.now(timezone.utc)
+    row = ApprovalModel(
+        id=approval_id,
+        ts=now,
+        agent_id=agent_id,
+        action=action,
+        reason=reason,
+        status="pending",
+        action_type=action_type,
+        target=target,
+        payload=json.dumps(payload or {}),
+        priority=priority,
+    )
+    db.add(row)
+    db.commit()
+    db.refresh(row)
+    item = approval_to_dict(row)
+
+    type_label = APPROVAL_ACTION_TYPES.get(action_type, action_type)
+    alert = (
+        f"⚠ APPROVAL REQUIRED · {type_label}\n"
+        f"  Agent: {agent_id}\n"
+        f"  Action: {action[:200]}\n"
+        f"  Target: {target or '—'}\n"
+        f"  Reason: {reason[:200]}\n"
+        f"  ID: {approval_id} — awaiting Mo & Bart"
+    )
+
+    if terminal_log:
+        for sid in SUPERVISOR_IDS:
+            await terminal_log(sid, alert, level="warn", phase="approval")
+        await terminal_log(
+            agent_id,
+            f"⏸ Action queued for approval ({approval_id}) — Mo & Bart notified",
+            level="warn",
+            phase="approval",
+        )
+
+    if mirror_supervisors:
+        await mirror_supervisors(
+            agent_id,
+            f"APPROVAL REQUEST [{approval_id}] {action_type}: {action[:120]}",
+            level="warn",
+            phase="approval",
+        )
+
+    if add_feed and publish:
+        feed = add_feed(
+            agent_id,
+            f"Approval requested ({approval_id}): {action[:80]} — waiting for Mo & Bart",
+            "warn",
+        )
+        await publish({"type": "feed", "entry": feed})
+
+    if publish:
+        await publish({"type": "approval_new", "approval": item})
+
+    return item
+
+
+async def decide_approval_request(
+    *,
+    db: Session,
+    ApprovalModel: type,
+    approval_id: str,
+    approved: bool,
+    decided_by: str = "mo-commander",
+    note: str = "",
+    terminal_log: Callable[..., Awaitable[None]] | None = None,
+    publish: Callable[[dict], Awaitable[None]] | None = None,
+    add_feed: Callable[[str, str, str], dict] | None = None,
+) -> dict[str, Any] | None:
+    row = db.get(ApprovalModel, approval_id)
+    if not row:
+        return None
+    if row.status != "pending":
+        return approval_to_dict(row)
+
+    row.status = "approved" if approved else "denied"
+    row.decided_by = decided_by
+    row.decide_note = note or None
+    row.decided_at = datetime.now(timezone.utc)
+    db.commit()
+    db.refresh(row)
+    item = approval_to_dict(row)
+
+    verb = "APPROVED" if approved else "DENIED"
+    who = "Mo" if "mo" in decided_by else "Bart" if "bart" in decided_by else decided_by
+    msg = f"{verb} by {who}: {row.action[:100]}"
+    if note:
+        msg += f" — {note[:80]}"
+
+    if terminal_log:
+        await terminal_log(row.agent_id, msg, level="ok" if approved else "warn", phase="approval")
+        for sid in SUPERVISOR_IDS:
+            await terminal_log(sid, f"✓ {msg}", level="ok" if approved else "info", phase="approval")
+
+    if add_feed and publish:
+        feed = add_feed(row.agent_id, msg, "info" if approved else "warn")
+        await publish({"type": "feed", "entry": feed})
+
+    if publish:
+        await publish({"type": "approval_update", "approval": item})
+
+    return item
+
+
+def list_approvals(db: Session, ApprovalModel: type, status: str = "pending", limit: int = 100) -> list[dict[str, Any]]:
+    q = select(ApprovalModel).order_by(ApprovalModel.ts.desc()).limit(limit)
+    if status and status != "all":
+        q = q.where(ApprovalModel.status == status)
+    rows = db.execute(q).scalars().all()
+    return [approval_to_dict(r) for r in rows]
+
+
+def approval_stats(db: Session, ApprovalModel: type) -> dict[str, int]:
+    rows = db.execute(select(ApprovalModel)).scalars().all()
+    stats = {"pending": 0, "approved": 0, "denied": 0, "total": 0}
+    for r in rows:
+        stats["total"] += 1
+        if r.status in stats:
+            stats[r.status] += 1
+    return stats

api/database_inventory.py

@@ -0,0 +1,243 @@
+"""Live database inventory — sizes, row counts, schemas for LLM context."""
+
+from __future__ import annotations
+
+import asyncio
+import os
+from concurrent.futures import ThreadPoolExecutor, TimeoutError as FuturesTimeout
+from typing import Any
+
+DB_HOST = os.getenv("DB_VAULT_HOST", "10.0.21.51")
+PG_USER = os.getenv("PG_USER", "mo")
+PG_PASS = os.getenv("PG_PASSWORD", "Dell2026!")
+MYSQL_USER = os.getenv("MYSQL_USER", "mo")
+MYSQL_PASS = os.getenv("MYSQL_PASSWORD", "Dell2026!")
+NEO4J_USER = os.getenv("NEO4J_USER", "neo4j")
+NEO4J_PASS = os.getenv("NEO4J_PASSWORD", "testpwd")
+ENGINE_TIMEOUT = float(os.getenv("DB_INVENTORY_TIMEOUT", "20"))
+
+_executor = ThreadPoolExecutor(max_workers=4)
+
+
+def _fmt_bytes(n: int | float | None) -> str:
+    if n is None:
+        return "?"
+    n = float(n)
+    for unit in ("B", "KB", "MB", "GB", "TB"):
+        if n < 1024 or unit == "TB":
+            return f"{n:.1f} {unit}" if unit != "B" else f"{int(n)} B"
+        n /= 1024
+    return f"{n:.1f} TB"
+
+
+def _inventory_postgres() -> dict[str, Any]:
+    import psycopg2
+
+    out: dict[str, Any] = {"engine": "PostgreSQL", "host": DB_HOST, "database": "postgres", "ok": False}
+    try:
+        conn = psycopg2.connect(
+            host=DB_HOST, user=PG_USER, password=PG_PASS, dbname="postgres", connect_timeout=5,
+        )
+        cur = conn.cursor()
+        cur.execute("SELECT pg_database_size(current_database())")
+        out["size_bytes"] = cur.fetchone()[0]
+        out["size_human"] = _fmt_bytes(out["size_bytes"])
+
+        cur.execute(
+            "SELECT table_name FROM information_schema.tables "
+            "WHERE table_schema='public' AND table_type='BASE TABLE' ORDER BY table_name",
+        )
+        tables = []
+        for (tname,) in cur.fetchall():
+            cur.execute(f'SELECT reltuples::bigint FROM pg_class WHERE relname = %s', (tname,))
+            est = cur.fetchone()
+            rows = int(est[0]) if est and est[0] else None
+            cur.execute(
+                "SELECT column_name, data_type FROM information_schema.columns "
+                "WHERE table_schema='public' AND table_name=%s ORDER BY ordinal_position",
+                (tname,),
+            )
+            cols = [f"{c} ({dt})" for c, dt in cur.fetchall()]
+            tbl: dict[str, Any] = {"name": tname, "rows": rows, "rows_estimated": True, "columns": cols}
+            if tname == "sales_orders" and rows:
+                cur.execute(
+                    "SELECT region, COUNT(*) FROM sales_orders TABLESAMPLE SYSTEM (0.1) "
+                    "GROUP BY region ORDER BY COUNT(*) DESC LIMIT 5",
+                )
+                sample = cur.fetchall()
+                if sample:
+                    tbl["sample_regions"] = {r: c for r, c in sample}
+            tables.append(tbl)
+        out["tables"] = tables
+        out["ok"] = True
+        conn.close()
+    except Exception as exc:
+        out["error"] = str(exc)
+    return out
+
+
+def _inventory_mysql() -> dict[str, Any]:
+    import pymysql
+
+    out: dict[str, Any] = {"engine": "MySQL", "host": DB_HOST, "database": "hr", "ok": False}
+    try:
+        conn = pymysql.connect(
+            host=DB_HOST, user=MYSQL_USER, password=MYSQL_PASS, database="hr", connect_timeout=5,
+        )
+        cur = conn.cursor()
+        cur.execute(
+            "SELECT table_name, data_length+index_length, table_rows "
+            "FROM information_schema.tables WHERE table_schema='hr'",
+        )
+        tables = []
+        total_bytes = 0
+        for tname, tbytes, trows in cur.fetchall():
+            total_bytes += tbytes or 0
+            cur.execute(f"SHOW COLUMNS FROM `{tname}`")
+            cols = [f"{r[0]} ({r[1]})" for r in cur.fetchall()]
+            tbl: dict[str, Any] = {
+                "name": tname,
+                "rows": int(trows) if trows else None,
+                "rows_estimated": True,
+                "size_bytes": tbytes,
+                "columns": cols,
+            }
+            if tname == "employee_events":
+                tbl["note"] = "HR employee lifecycle events (promotions, transfers, salary changes, etc.)"
+            tables.append(tbl)
+        out["tables"] = tables
+        out["size_bytes"] = total_bytes
+        out["size_human"] = _fmt_bytes(total_bytes)
+        out["ok"] = True
+        conn.close()
+    except Exception as exc:
+        out["error"] = str(exc)
+    return out
+
+
+def _inventory_mongo() -> dict[str, Any]:
+    from pymongo import MongoClient
+
+    out: dict[str, Any] = {"engine": "MongoDB", "host": DB_HOST, "ok": False}
+    try:
+        client = MongoClient(f"mongodb://{DB_HOST}:27017/", serverSelectionTimeoutMS=5000)
+        db = client["supplychain"]
+        collections = []
+        for cname in db.list_collection_names():
+            if cname.startswith("__"):
+                continue
+            col = db[cname]
+            docs = col.estimated_document_count()
+            sample = col.find_one() or {}
+            fields = sorted(k for k in sample if k != "_id")
+            coll: dict[str, Any] = {"name": cname, "documents": docs, "fields": fields}
+            if cname == "events" and docs:
+                try:
+                    pipe = [
+                        {"$sample": {"size": 5000}},
+                        {"$group": {"_id": "$type", "count": {"$sum": 1}}},
+                        {"$sort": {"count": -1}},
+                        {"$limit": 5},
+                    ]
+                    coll["sample_types"] = {r["_id"]: r["count"] for r in col.aggregate(pipe, maxTimeMS=5000)}
+                except Exception:
+                    pass
+            collections.append(coll)
+        out["database"] = "supplychain"
+        out["collections"] = collections
+        out["ok"] = True
+        client.close()
+    except Exception as exc:
+        out["error"] = str(exc)
+    return out
+
+
+def _inventory_cassandra() -> dict[str, Any]:
+    out: dict[str, Any] = {"engine": "Cassandra", "host": DB_HOST, "ok": False}
+    try:
+        from cassandra.cluster import Cluster
+
+        cluster = Cluster([DB_HOST], connect_timeout=5)
+        session = cluster.connect()
+        keyspaces = [
+            r.keyspace_name
+            for r in session.execute("SELECT keyspace_name FROM system_schema.keyspaces")
+            if r.keyspace_name not in (
+                "system", "system_schema", "system_traces", "system_distributed",
+                "system_virtual_schema", "system_auth", "system_views",
+            )
+        ]
+        tables_out = []
+        for ks in keyspaces:
+            for row in session.execute(
+                "SELECT table_name FROM system_schema.tables WHERE keyspace_name=%s", (ks,),
+            ):
+                tables_out.append({
+                    "keyspace": ks,
+                    "name": row.table_name,
+                    "rows": None,
+                    "note": "COUNT skipped (large table; use Trino/Iceberg for analytics)",
+                })
+        out["keyspaces"] = keyspaces
+        out["tables"] = tables_out
+        out["ok"] = True
+        cluster.shutdown()
+    except Exception as exc:
+        out["error"] = str(exc)
+    return out
+
+
+def _inventory_neo4j() -> dict[str, Any]:
+    out: dict[str, Any] = {"engine": "Neo4j", "host": DB_HOST, "ok": False}
+    try:
+        from neo4j import GraphDatabase
+
+        driver = GraphDatabase.driver(f"bolt://{DB_HOST}:7687", auth=(NEO4J_USER, NEO4J_PASS))
+        with driver.session() as session:
+            nodes = [
+                {"label": r["lbl"], "count": r["c"]}
+                for r in session.run(
+                    "MATCH (n) RETURN labels(n)[0] AS lbl, count(*) AS c ORDER BY c DESC LIMIT 10",
+                )
+            ]
+            rels = [
+                {"type": r["t"], "count": r["c"]}
+                for r in session.run(
+                    "MATCH ()-[r]->() RETURN type(r) AS t, count(*) AS c ORDER BY c DESC LIMIT 10",
+                )
+            ]
+        out["nodes"] = nodes
+        out["relationships"] = rels
+        out["ok"] = True
+        driver.close()
+    except Exception as exc:
+        out["error"] = str(exc)
+    return out
+
+
+def _run_with_timeout(fn, timeout: float) -> dict[str, Any]:
+    future = _executor.submit(fn)
+    try:
+        return future.result(timeout=timeout)
+    except FuturesTimeout:
+        return {"engine": fn.__name__.replace("_inventory_", ""), "ok": False, "error": f"timeout after {timeout}s"}
+    except Exception as exc:
+        return {"ok": False, "error": str(exc)}
+
+
+def collect_database_inventory_sync() -> dict[str, Any]:
+    fns = {
+        "postgresql": _inventory_postgres,
+        "mysql": _inventory_mysql,
+        "mongodb": _inventory_mongo,
+        "cassandra": _inventory_cassandra,
+        "neo4j": _inventory_neo4j,
+    }
+    engines = {k: _run_with_timeout(fn, ENGINE_TIMEOUT) for k, fn in fns.items()}
+    ok_count = sum(1 for e in engines.values() if e.get("ok"))
+    return {"host": DB_HOST, "engines_ok": ok_count, "engines_total": len(engines), "engines": engines}
+
+
+async def collect_database_inventory() -> dict[str, Any]:
+    loop = asyncio.get_event_loop()
+    return await loop.run_in_executor(_executor, collect_database_inventory_sync)

api/db.py

@@ -0,0 +1,164 @@
+"""Database engine, session factory, and startup migrations."""
+
+from __future__ import annotations
+
+import os
+import sqlite3
+from typing import Any
+
+from sqlalchemy import create_engine, inspect, text
+from sqlalchemy.orm import sessionmaker
+
+DATABASE_URL = os.getenv("DATABASE_URL", "sqlite:////data/atc-agents.db")
+SQLITE_FALLBACK_PATH = os.getenv("SQLITE_FALLBACK_PATH", "/data/atc-agents.db")
+
+
+def make_engine(url: str = DATABASE_URL):
+    kwargs: dict[str, Any] = {"pool_pre_ping": True}
+    if url.startswith("sqlite"):
+        kwargs["connect_args"] = {"check_same_thread": False}
+    return create_engine(url, **kwargs)
+
+
+engine = make_engine()
+SessionLocal = sessionmaker(bind=engine, autoflush=False, autocommit=False)
+
+
+def migrate_approval_columns(db_engine: Any = engine) -> None:
+    """Add approval columns on legacy SQLite/Postgres schemas."""
+    insp = inspect(db_engine)
+    if "approvals" not in insp.get_table_names():
+        return
+
+    existing = {c["name"] for c in insp.get_columns("approvals")}
+    dialect = db_engine.dialect.name
+
+    if dialect == "postgresql":
+        alters = [
+            ("action_type", "VARCHAR(64)", "generic.mutate"),
+            ("target", "TEXT", ""),
+            ("payload", "TEXT", "{}"),
+            ("decided_by", "VARCHAR(64)", None),
+            ("decide_note", "TEXT", None),
+            ("decided_at", "TIMESTAMP WITH TIME ZONE", None),
+            ("priority", "VARCHAR(16)", "normal"),
+        ]
+        with db_engine.begin() as conn:
+            for col, typ, default in alters:
+                if col in existing:
+                    continue
+                if default is None:
+                    conn.execute(text(f"ALTER TABLE approvals ADD COLUMN IF NOT EXISTS {col} {typ}"))
+                elif default == "":
+                    conn.execute(text(f"ALTER TABLE approvals ADD COLUMN IF NOT EXISTS {col} {typ} DEFAULT ''"))
+                else:
+                    conn.execute(
+                        text(f"ALTER TABLE approvals ADD COLUMN IF NOT EXISTS {col} {typ} DEFAULT '{default}'")
+                    )
+        return
+
+    alters = [
+        ("action_type", "VARCHAR(64)", "'generic.mutate'"),
+        ("target", "TEXT", "''"),
+        ("payload", "TEXT", "'{}'"),
+        ("decided_by", "VARCHAR(64)", "NULL"),
+        ("decide_note", "TEXT", "NULL"),
+        ("decided_at", "DATETIME", "NULL"),
+        ("priority", "VARCHAR(16)", "'normal'"),
+    ]
+    with db_engine.begin() as conn:
+        for col, typ, default in alters:
+            if col not in existing:
+                conn.execute(text(f"ALTER TABLE approvals ADD COLUMN {col} {typ} DEFAULT {default}"))
+
+
+def migrate_sqlite_to_postgres(db_engine: Any = engine) -> dict[str, int]:
+    """One-time copy from legacy SQLite volume into Postgres when Postgres is empty."""
+    if not DATABASE_URL.startswith("postgresql"):
+        return {}
+    if not os.path.isfile(SQLITE_FALLBACK_PATH):
+        return {}
+
+    insp = inspect(db_engine)
+    tables = set(insp.get_table_names())
+    if "approvals" not in tables or "feed" not in tables:
+        return {}
+
+    with db_engine.connect() as conn:
+        approval_count = conn.execute(text("SELECT COUNT(*) FROM approvals")).scalar() or 0
+        feed_count = conn.execute(text("SELECT COUNT(*) FROM feed")).scalar() or 0
+    if approval_count or feed_count:
+        return {"approvals": 0, "feed": 0, "skipped": 1}
+
+    copied = {"approvals": 0, "feed": 0}
+    src = sqlite3.connect(SQLITE_FALLBACK_PATH)
+    src.row_factory = sqlite3.Row
+    try:
+        with db_engine.begin() as conn:
+            for row in src.execute("SELECT * FROM feed"):
+                conn.execute(
+                    text(
+                        "INSERT INTO feed (id, ts, agent_id, level, message) "
+                        "VALUES (:id, :ts, :agent_id, :level, :message) ON CONFLICT (id) DO NOTHING"
+                    ),
+                    dict(row),
+                )
+                copied["feed"] += 1
+            for row in src.execute("SELECT * FROM approvals"):
+                conn.execute(
+                    text(
+                        "INSERT INTO approvals (id, ts, agent_id, action, reason, status, "
+                        "action_type, target, payload, decided_by, decide_note, decided_at, priority) "
+                        "VALUES (:id, :ts, :agent_id, :action, :reason, :status, "
+                        ":action_type, :target, :payload, :decided_by, :decide_note, :decided_at, :priority) "
+                        "ON CONFLICT (id) DO NOTHING"
+                    ),
+                    {
+                        "id": row["id"],
+                        "ts": row["ts"],
+                        "agent_id": row["agent_id"],
+                        "action": row["action"],
+                        "reason": row["reason"],
+                        "status": row["status"],
+                        "action_type": row["action_type"] if "action_type" in row.keys() else "generic.mutate",
+                        "target": row["target"] if "target" in row.keys() else "",
+                        "payload": row["payload"] if "payload" in row.keys() else "{}",
+                        "decided_by": row["decided_by"] if "decided_by" in row.keys() else None,
+                        "decide_note": row["decide_note"] if "decide_note" in row.keys() else None,
+                        "decided_at": row["decided_at"] if "decided_at" in row.keys() else None,
+                        "priority": row["priority"] if "priority" in row.keys() else "normal",
+                    },
+                )
+                copied["approvals"] += 1
+    finally:
+        src.close()
+    return copied
+
+
+def init_database(Base: type) -> dict[str, Any]:
+    """Create tables, run migrations, optionally import legacy SQLite data."""
+    Base.metadata.create_all(engine)
+    migrate_approval_columns(engine)
+    migrated = migrate_sqlite_to_postgres(engine)
+    return {"engine": engine.dialect.name, "migrated_from_sqlite": migrated}
+
+
+def db_health() -> dict[str, Any]:
+    try:
+        with engine.connect() as conn:
+            conn.execute(text("SELECT 1"))
+        insp = inspect(engine)
+        tables = insp.get_table_names()
+        stats = {}
+        if "approvals" in tables:
+            with engine.connect() as conn:
+                stats["approvals"] = conn.execute(text("SELECT COUNT(*) FROM approvals")).scalar()
+                stats["approvals_pending"] = conn.execute(
+                    text("SELECT COUNT(*) FROM approvals WHERE status = 'pending'")
+                ).scalar()
+        if "feed" in tables:
+            with engine.connect() as conn:
+                stats["feed"] = conn.execute(text("SELECT COUNT(*) FROM feed")).scalar()
+        return {"ok": True, "dialect": engine.dialect.name, "tables": tables, **stats}
+    except Exception as exc:
+        return {"ok": False, "dialect": engine.dialect.name, "error": str(exc)}

api/dockhand_envs.py

@@ -0,0 +1,20 @@
+"""Dockhand environment IDs on atc-docker01 (10.0.21.45:8082)."""
+
+DOCKHAND_URL = "http://10.0.21.45:8082"
+
+DOCKHAND_ENVS: dict[str, int] = {
+    "docker01": 1,
+    "docker02": 2,
+    "management": 3,
+    "db02": 5,
+    "bart_gpu": 6,
+    "mo_gpu": 7,
+    "gpu_dev": 8,
+    "lakehouse": 9,
+    "airflow": 10,
+    "dns1": 11,
+    "dns2": 12,
+    "command_center": 13,
+}
+
+DOCKHAND_ENV_COMMAND_CENTER = 13

api/lab_context.py

@@ -0,0 +1,745 @@
+"""Live lab metrics for all ATC domains — fed to vLLM as context."""
+
+from __future__ import annotations
+
+import asyncio
+import json
+import os
+import time
+from datetime import datetime, timezone
+from typing import Any
+
+import httpx
+
+from agent_terminal import TerminalLogFn
+from dockhand_envs import DOCKHAND_ENV_COMMAND_CENTER, DOCKHAND_ENVS
+from database_inventory import collect_database_inventory
+from node_registry import NODE_REGISTRY
+
+DOCKHAND_URL = os.getenv("DOCKHAND_URL", "http://10.0.21.45:8082")
+HDFS_NN_URL = os.getenv("HDFS_NN_URL", "http://10.0.21.61:9870")
+LAKEHOUSE_HOST = os.getenv("LAKEHOUSE_HOST", "10.0.21.50")
+AIRFLOW_URL = os.getenv("AIRFLOW_URL", "http://10.0.21.55:8080")
+KAFKA_UI_URL = os.getenv("KAFKA_UI_URL", "http://10.0.21.36:9000")
+KAFKA_CONNECT_URL = os.getenv("KAFKA_CONNECT_URL", f"http://{LAKEHOUSE_HOST}:8083")
+TRINO_URL = os.getenv("TRINO_URL", f"http://{LAKEHOUSE_HOST}:8089")
+SPARK_UI_URL = os.getenv("SPARK_UI_URL", f"http://{LAKEHOUSE_HOST}:8080")
+GPU_URL = os.getenv("GPU_URL", "http://10.0.20.106:9000")
+OBJECTSCALE_URL = os.getenv("OBJECTSCALE_URL", "http://10.0.20.111:9020")
+YARN_URL = os.getenv("YARN_URL", "http://10.0.21.61:8088")
+
+AGENT_PRIMARY_DOMAIN = {
+    "infra-sentinel": "docker",
+    "data-custodian": "databases",
+    "lakehouse-ops": "lakehouse",
+    "hadoop-ranger": "hadoop",
+    "etl-guardian": "etl",
+}
+
+
+async def _log(log: TerminalLogFn | None, level: str, phase: str, text: str) -> None:
+    if log:
+        await log(level, phase, text)
+
+
+async def _get_json(
+    client: httpx.AsyncClient,
+    url: str,
+    log: TerminalLogFn | None = None,
+    label: str = "",
+    timeout: float = 6.0,
+) -> Any | None:
+    name = label or url
+    t0 = time.monotonic()
+    await _log(log, "cmd", "fetch", f"$ GET {url}")
+    try:
+        r = await client.get(url, timeout=timeout)
+        ms = int((time.monotonic() - t0) * 1000)
+        if r.status_code < 400:
+            await _log(log, "ok", "fetch", f"← {r.status_code} {name} ({ms}ms)")
+            return r.json()
+        await _log(log, "warn", "fetch", f"← {r.status_code} {name} ({ms}ms)")
+    except Exception as exc:
+        ms = int((time.monotonic() - t0) * 1000)
+        await _log(log, "err", "fetch", f"✗ {name}: {exc} ({ms}ms)")
+    return None
+
+
+async def _probe_ok(
+    client: httpx.AsyncClient,
+    url: str,
+    log: TerminalLogFn | None = None,
+    label: str = "",
+) -> bool:
+    name = label or url
+    t0 = time.monotonic()
+    await _log(log, "cmd", "probe", f"$ GET {url}")
+    try:
+        r = await client.get(url, timeout=4.0)
+        ms = int((time.monotonic() - t0) * 1000)
+        ok = r.status_code < 500
+        await _log(log, "ok" if ok else "warn", "probe", f"← {r.status_code} {name} ({'UP' if ok else 'DOWN'}, {ms}ms)")
+        return ok
+    except Exception as exc:
+        ms = int((time.monotonic() - t0) * 1000)
+        await _log(log, "err", "probe", f"✗ {name}: {exc} ({ms}ms)")
+        return False
+
+
+def _container_rows(containers: list[dict], host: str = "") -> list[dict[str, Any]]:
+    rows = []
+    for c in containers:
+        ports = sorted({str(p.get("PublicPort")) for p in c.get("ports", []) if p.get("PublicPort")})
+        rows.append({
+            "name": c.get("name"),
+            "state": c.get("state"),
+            "image": c.get("image"),
+            "status": c.get("status"),
+            "ports": ports,
+            "host": host,
+        })
+    return rows
+
+
+async def dockhand_containers(
+    client: httpx.AsyncClient,
+    env_id: int,
+    log: TerminalLogFn | None = None,
+) -> list[dict]:
+    url = f"{DOCKHAND_URL}/api/containers?env={env_id}"
+    await _log(log, "cmd", "fetch", f"$ GET {url}")
+    t0 = time.monotonic()
+    try:
+        r = await client.get(f"{DOCKHAND_URL}/api/containers", params={"env": env_id}, timeout=8.0)
+        ms = int((time.monotonic() - t0) * 1000)
+        r.raise_for_status()
+        data = r.json()
+        await _log(log, "ok", "fetch", f"← Dockhand env {env_id}: {len(data)} containers ({ms}ms)")
+        return data
+    except Exception as exc:
+        ms = int((time.monotonic() - t0) * 1000)
+        await _log(log, "err", "fetch", f"✗ Dockhand env {env_id}: {exc} ({ms}ms)")
+        return []
+
+
+async def collect_hdfs(client: httpx.AsyncClient, log: TerminalLogFn | None = None) -> dict[str, Any]:
+    ctx: dict[str, Any] = {"reachable": False, "namenode": HDFS_NN_URL}
+    await _log(log, "info", "fetch", "▸ HDFS NameNode JMX metrics")
+    try:
+        fs_url = f"{HDFS_NN_URL}/jmx?qry=Hadoop:service=NameNode,name=FSNamesystem"
+        nn_url = f"{HDFS_NN_URL}/jmx?qry=Hadoop:service=NameNode,name=NameNodeInfo"
+        t0 = time.monotonic()
+        await _log(log, "cmd", "fetch", f"$ GET {fs_url}")
+        await _log(log, "cmd", "fetch", f"$ GET {nn_url}")
+        fs_r, nn_r = await asyncio.gather(
+            client.get(fs_url),
+            client.get(nn_url),
+            return_exceptions=True,
+        )
+        ms = int((time.monotonic() - t0) * 1000)
+        if isinstance(fs_r, httpx.Response) and fs_r.status_code == 200:
+            beans = fs_r.json().get("beans", [])
+            if beans:
+                b = beans[0]
+                ctx.update({
+                    "reachable": True,
+                    "hostname": b.get("tag.Hostname"),
+                    "ha_state": b.get("tag.HAState"),
+                    "capacity_total_gb": b.get("CapacityTotalGB"),
+                    "capacity_used_gb": b.get("CapacityUsedGB"),
+                    "capacity_remaining_gb": b.get("CapacityRemainingGB"),
+                    "files_total": b.get("FilesTotal"),
+                    "blocks_total": b.get("BlocksTotal"),
+                    "live_datanodes": b.get("NumLiveDataNodes"),
+                    "dead_datanodes": b.get("NumDeadDataNodes"),
+                    "missing_blocks": b.get("MissingBlocks"),
+                    "under_replicated_blocks": b.get("UnderReplicatedBlocks"),
+                    "corrupt_blocks": b.get("CorruptBlocks"),
+                    "default_replication_factor": 3,
+                })
+                await _log(
+                    log, "ok", "fetch",
+                    f"← HDFS: {b.get('CapacityUsedGB')}GB used, {b.get('FilesTotal')} files, "
+                    f"{b.get('NumLiveDataNodes')} datanodes ({ms}ms)",
+                )
+        else:
+            await _log(log, "warn", "fetch", f"← FSNamesystem JMX failed ({ms}ms)")
+
+        if isinstance(nn_r, httpx.Response) and nn_r.status_code == 200:
+            beans = nn_r.json().get("beans", [])
+            if beans:
+                b = beans[0]
+                live = json.loads(b.get("LiveNodes") or "{}")
+                ctx["hdfs_version"] = b.get("Version")
+                ctx["safemode"] = b.get("Safemode") or "off"
+                ctx["percent_used"] = round(float(b.get("PercentUsed", 0)) * 100, 4)
+                ctx["datanodes"] = [
+                    {
+                        "host": host.split(":")[0],
+                        "capacity_gb": round(node.get("capacity", 0) / (1024**3), 1),
+                        "used_gb": round(node.get("used", 0) / (1024**3), 4),
+                        "blocks": node.get("numBlocks", 0),
+                        "state": node.get("adminState"),
+                    }
+                    for host, node in live.items()
+                ]
+
+        yarn_url = f"{YARN_URL}/ws/v1/cluster/info"
+        await _log(log, "cmd", "fetch", f"$ GET {yarn_url}")
+        try:
+            yr = await client.get(yarn_url, timeout=4.0)
+            if yr.status_code == 200:
+                yinfo = yr.json().get("clusterInfo", {})
+                ctx["yarn_ok"] = True
+                ctx["yarn_state"] = yinfo.get("state", "UNKNOWN")
+                ctx["yarn_rm"] = YARN_URL
+                await _log(log, "ok", "fetch", f"← YARN RM: {yinfo.get('state', '?')}")
+            else:
+                ctx["yarn_ok"] = False
+        except Exception:
+            ctx["yarn_ok"] = False
+
+    except Exception as exc:
+        ctx["error"] = str(exc)
+        await _log(log, "err", "fetch", f"✗ HDFS: {exc}")
+    return ctx
+
+
+async def collect_etl(client: httpx.AsyncClient, log: TerminalLogFn | None = None) -> dict[str, Any]:
+    await _log(log, "info", "fetch", "▸ ETL stack (Airflow, Kafka, Spark)")
+    health, kafka_ok, spark_ok = await asyncio.gather(
+        _get_json(client, f"{AIRFLOW_URL}/api/v2/monitor/health", log, "Airflow health"),
+        _probe_ok(client, KAFKA_UI_URL, log, "Kafka UI"),
+        _probe_ok(client, SPARK_UI_URL, log, "Spark UI"),
+    )
+    connectors: list[str] = []
+    await _log(log, "cmd", "fetch", f"$ GET {KAFKA_CONNECT_URL}/connectors")
+    t0 = time.monotonic()
+    try:
+        r = await client.get(f"{KAFKA_CONNECT_URL}/connectors", timeout=5.0)
+        ms = int((time.monotonic() - t0) * 1000)
+        if r.status_code == 200:
+            connectors = r.json() if isinstance(r.json(), list) else []
+            await _log(log, "ok", "fetch", f"← Kafka Connect: {len(connectors)} connectors ({ms}ms)")
+            for c in connectors:
+                await _log(log, "info", "fetch", f"  · {c}")
+        else:
+            await _log(log, "warn", "fetch", f"← Kafka Connect {r.status_code} ({ms}ms)")
+    except Exception as exc:
+        await _log(log, "err", "fetch", f"✗ Kafka Connect: {exc}")
+
+    airflow_detail: dict[str, str] = {}
+    if isinstance(health, dict):
+        for comp, info in health.items():
+            if isinstance(info, dict) and "status" in info:
+                airflow_detail[comp] = info["status"]
+                await _log(log, "info", "fetch", f"  Airflow {comp}: {info['status']}")
+
+    connector_status: list[dict[str, Any]] = []
+    for name in connectors:
+        status_url = f"{KAFKA_CONNECT_URL}/connectors/{name}/status"
+        await _log(log, "cmd", "fetch", f"$ GET {status_url}")
+        try:
+            sr = await client.get(status_url, timeout=5.0)
+            if sr.status_code == 200:
+                st = sr.json()
+                conn = st.get("connector", {})
+                tasks = st.get("tasks", [])
+                state = conn.get("state", "UNKNOWN")
+                task_states = [t.get("state", "?") for t in tasks]
+                connector_status.append({
+                    "name": name,
+                    "state": state,
+                    "tasks": task_states,
+                })
+                await _log(log, "info", "fetch", f"  · {name}: {state} tasks={task_states}")
+        except Exception as exc:
+            connector_status.append({"name": name, "state": "ERROR", "error": str(exc)})
+
+    return {
+        "airflow_url": AIRFLOW_URL,
+        "airflow_healthy": airflow_detail.get("scheduler") == "healthy",
+        "airflow_components": airflow_detail,
+        "kafka_ui_url": KAFKA_UI_URL,
+        "kafka_ui_ok": kafka_ok,
+        "kafka_connect_url": KAFKA_CONNECT_URL,
+        "connectors": connectors,
+        "connector_status": connector_status,
+        "spark_ui_url": SPARK_UI_URL,
+        "spark_ui_ok": spark_ok,
+    }
+
+
+async def collect_lakehouse(
+    client: httpx.AsyncClient,
+    containers: list[dict],
+    log: TerminalLogFn | None = None,
+) -> dict[str, Any]:
+    await _log(log, "info", "fetch", "▸ Lakehouse (Trino, Spark, Kafka Connect)")
+    trino_info = await _get_json(client, f"{TRINO_URL}/v1/info", log, "Trino /v1/info")
+    running = sum(1 for c in containers if c.get("state") == "running")
+    for c in containers:
+        ports = ",".join(str(p.get("PublicPort")) for p in c.get("ports", []) if p.get("PublicPort")) or "internal"
+        await _log(log, "info", "fetch", f"  · {c.get('name')}: {c.get('state')} ports={ports}")
+    return {
+        "host": LAKEHOUSE_HOST,
+        "trino_url": TRINO_URL,
+        "trino_ok": trino_info is not None,
+        "trino_version": (trino_info or {}).get("nodeVersion", {}).get("version"),
+        "trino_uptime": (trino_info or {}).get("uptime"),
+        "trino_coordinator": (trino_info or {}).get("coordinator"),
+        "spark_ui_url": SPARK_UI_URL,
+        "kafka_connect_url": KAFKA_CONNECT_URL,
+        "containers": _container_rows(containers, LAKEHOUSE_HOST),
+        "running": running,
+        "total": len(containers),
+    }
+
+
+async def collect_databases(
+    client: httpx.AsyncClient,
+    containers: list[dict],
+    log: TerminalLogFn | None = None,
+) -> dict[str, Any]:
+    await _log(log, "info", "fetch", "▸ Database vault (Dockhand env 5)")
+    running = sum(1 for c in containers if c.get("state") == "running")
+    rows = _container_rows(containers)
+    by_engine: dict[str, list[str]] = {}
+    for r in rows:
+        img = (r.get("image") or "").lower()
+        name = (r.get("name") or "").lower()
+        if "postgres" in img or "postgres" in name:
+            engine = "PostgreSQL"
+        elif "mysql" in img or "mysql" in name:
+            engine = "MySQL"
+        elif "mongo" in img or "mongo" in name:
+            engine = "MongoDB"
+        elif "cassandra" in img or "cassandra" in name:
+            engine = "Cassandra"
+        elif "neo4j" in img or "neo4j" in name:
+            engine = "Neo4j"
+        else:
+            engine = "Other"
+        port_str = ",".join(r["ports"]) or "internal"
+        by_engine.setdefault(engine, []).append(f"{r['name']} ({r['state']}, ports {port_str})")
+        await _log(log, "info", "fetch", f"  · {r['name']}: {r['state']} [{engine}] ports={port_str}")
+
+    return {
+        "dockhand_env": 5,
+        "running": running,
+        "total": len(containers),
+        "containers": rows,
+        "by_engine": by_engine,
+    }
+
+
+async def collect_command_center(
+    client: httpx.AsyncClient,
+    containers: list[dict],
+    log: TerminalLogFn | None = None,
+) -> dict[str, Any]:
+    await _log(log, "info", "fetch", f"▸ Command Center VM304 (Dockhand env {DOCKHAND_ENV_COMMAND_CENTER})")
+    running = sum(1 for c in containers if c.get("state") == "running")
+    rows = _container_rows(containers, "10.0.21.33")
+    for r in rows:
+        lvl = "info" if r.get("state") == "running" else "warn"
+        await _log(log, lvl, "fetch", f"  · {r.get('name')}: {r.get('state')}")
+    return {
+        "dockhand_env": DOCKHAND_ENV_COMMAND_CENTER,
+        "dockhand_stack": "atc-agents-vm304",
+        "host": "10.0.21.33",
+        "vmid": 304,
+        "url": "http://10.0.21.33/",
+        "running": running,
+        "total": len(containers),
+        "containers": rows,
+    }
+
+
+async def collect_docker_rack(
+    client: httpx.AsyncClient,
+    containers: list[dict],
+    log: TerminalLogFn | None = None,
+) -> dict[str, Any]:
+    await _log(log, "info", "fetch", "▸ Docker rack (Dockhand env 1)")
+    running = sum(1 for c in containers if c.get("state") == "running")
+    not_running = [c["name"] for c in containers if c.get("state") != "running"]
+    for c in containers:
+        ports = ",".join(str(p.get("PublicPort")) for p in c.get("ports", []) if p.get("PublicPort")) or "internal"
+        lvl = "info" if c.get("state") == "running" else "warn"
+        await _log(log, lvl, "fetch", f"  · {c.get('name')}: {c.get('state')} ports={ports}")
+    return {
+        "dockhand_url": DOCKHAND_URL,
+        "dockhand_env": 1,
+        "running": running,
+        "total": len(containers),
+        "not_running": not_running,
+        "containers": _container_rows(containers, "10.0.21.45"),
+    }
+
+
+async def collect_objectscale(client: httpx.AsyncClient, log: TerminalLogFn | None = None) -> dict[str, Any]:
+    await _log(log, "info", "fetch", "▸ ObjectScale S3 storage")
+    ctx: dict[str, Any] = {
+        "host": "10.0.20.111",
+        "url": OBJECTSCALE_URL,
+        "port": "9020",
+        "bucket": "data",
+        "reachable": False,
+    }
+    t0 = time.monotonic()
+    await _log(log, "cmd", "probe", f"$ GET {OBJECTSCALE_URL}")
+    try:
+        r = await client.get(OBJECTSCALE_URL, timeout=4.0)
+        ms = int((time.monotonic() - t0) * 1000)
+        # 403/401 means API is up but unauthenticated
+        ctx["reachable"] = r.status_code in (200, 401, 403, 405)
+        ctx["status_code"] = r.status_code
+        await _log(
+            log, "ok" if ctx["reachable"] else "warn", "probe",
+            f"← ObjectScale {r.status_code} ({'UP' if ctx['reachable'] else 'DOWN'}, {ms}ms)",
+        )
+    except Exception as exc:
+        ms = int((time.monotonic() - t0) * 1000)
+        ctx["error"] = str(exc)
+        await _log(log, "err", "probe", f"✗ ObjectScale: {exc} ({ms}ms)")
+    return ctx
+
+
+async def collect_gpu_metrics(client: httpx.AsyncClient, log: TerminalLogFn | None = None) -> dict[str, Any]:
+    await _log(log, "info", "fetch", "▸ GPU Lab metrics")
+    base = {"ok": False, "host": GPU_URL, "ui_url": GPU_URL}
+    try:
+        metrics_url = f"{GPU_URL}/api/gpu/metrics"
+        model_url = f"{GPU_URL}/api/active-model"
+        await _log(log, "cmd", "fetch", f"$ GET {metrics_url}")
+        await _log(log, "cmd", "fetch", f"$ GET {model_url}")
+        t0 = time.monotonic()
+        metrics_r, model_r = await asyncio.gather(
+            client.get(metrics_url),
+            client.get(model_url),
+            return_exceptions=True,
+        )
+        ms = int((time.monotonic() - t0) * 1000)
+        gpus: list[dict[str, Any]] = []
+        if isinstance(metrics_r, httpx.Response) and metrics_r.status_code == 200:
+            current = metrics_r.json().get("current", {})
+            gpus = [
+                {
+                    "index": g["index"],
+                    "name": g["name"],
+                    "util_gpu": g.get("util_gpu", 0),
+                    "memory_used_mib": g.get("memory_used_mib", 0),
+                    "memory_total_mib": g.get("memory_total_mib", 0),
+                    "temperature_c": g.get("temperature_c", 0),
+                    "power_w": g.get("power_w", 0),
+                }
+                for g in current.get("gpus", [])
+            ]
+            await _log(log, "ok", "fetch", f"← GPU metrics: {len(gpus)} devices ({ms}ms)")
+            for g in gpus:
+                await _log(
+                    log, "info", "fetch",
+                    f"  GPU{g['index']}: util {g['util_gpu']:.0f}% VRAM "
+                    f"{g['memory_used_mib']:.0f}/{g['memory_total_mib']:.0f} MiB",
+                )
+
+        active_model = None
+        inference_active = False
+        vllm_url = None
+        if isinstance(model_r, httpx.Response) and model_r.status_code == 200:
+            model_data = model_r.json()
+            active_model = model_data.get("name")
+            inference_active = bool(model_data.get("inference_active"))
+            vllm_url = model_data.get("base_url")
+            await _log(log, "ok", "fetch", f"← Active model: {active_model} inference={'ON' if inference_active else 'OFF'}")
+
+        return {
+            **base,
+            "ok": len(gpus) > 0 or inference_active,
+            "inference_active": inference_active,
+            "active_model": active_model,
+            "vllm_url": vllm_url,
+            "gpu_count": len(gpus),
+            "gpus": gpus,
+        }
+    except Exception as exc:
+        await _log(log, "err", "fetch", f"✗ GPU Lab: {exc}")
+        return {**base, "error": str(exc)}
+
+
+def _section_docker(d: dict[str, Any]) -> list[str]:
+    lines = [
+        f"Docker rack (Dockhand env 1): {d['running']}/{d['total']} running",
+        f"Dockhand: {d['dockhand_url']}",
+    ]
+    if d.get("not_running"):
+        lines.append(f"Not running: {', '.join(d['not_running'])}")
+    for c in d.get("containers", []):
+        port_str = ",".join(c["ports"]) if c["ports"] else "internal"
+        lines.append(f"  - {c['name']}: {c['state']} | {c['image']} | ports {port_str}")
+    return lines
+
+
+def _fmt_count(n: Any) -> str:
+    if n is None:
+        return "?"
+    try:
+        return f"{int(n):,}"
+    except (TypeError, ValueError):
+        return str(n)
+
+
+def _section_databases(d: dict[str, Any]) -> list[str]:
+    lines = [f"Databases (Dockhand env {d['dockhand_env']}): {d['running']}/{d['total']} running"]
+    for engine, items in d.get("by_engine", {}).items():
+        lines.append(f"  {engine}:")
+        for item in items:
+            lines.append(f"    - {item}")
+    inv = d.get("inventory") or {}
+    if inv:
+        lines.append(
+            f"  Live data inventory @ {inv.get('host', '?')}: "
+            f"{inv.get('engines_ok', 0)}/{inv.get('engines_total', 0)} engines queried"
+        )
+        for key, eng in (inv.get("engines") or {}).items():
+            if not eng.get("ok"):
+                err = str(eng.get("error", "unknown"))[:100]
+                lines.append(f"  {eng.get('engine', key)}: ERROR — {err}")
+                continue
+            label = eng.get("engine", key)
+            if eng.get("size_human"):
+                lines.append(f"  {label} ({eng.get('database', '')}): {eng['size_human']}")
+            for tbl in eng.get("tables") or []:
+                rows = tbl.get("rows")
+                cols = ", ".join((tbl.get("columns") or [])[:8])
+                extra = ""
+                if tbl.get("top_regions"):
+                    extra = f" | regions: {tbl['top_regions']}"
+                elif tbl.get("top_event_types"):
+                    extra = f" | event_types: {tbl['top_event_types']}"
+                lines.append(f"    · {tbl['name']}: {_fmt_count(rows)} rows | cols: {cols}{extra}")
+            for coll in eng.get("collections") or []:
+                docs = coll.get("documents")
+                fields = ", ".join(coll.get("fields") or [])
+                extra = f" | types: {coll['top_types']}" if coll.get("top_types") else ""
+                lines.append(f"    · {coll['name']}: {_fmt_count(docs)} docs | fields: {fields}{extra}")
+            for node in eng.get("nodes") or []:
+                lines.append(f"    · {node['label']} nodes: {_fmt_count(node.get('count'))}")
+            if eng.get("relationships"):
+                rels = ", ".join(f"{r['type']}={_fmt_count(r.get('count'))}" for r in eng["relationships"][:5])
+                lines.append(f"    · relationships: {rels or 'none'}")
+    return lines
+
+
+def _section_lakehouse(d: dict[str, Any]) -> list[str]:
+    lines = [
+        f"Lakehouse host: {d['host']} — {d['running']}/{d['total']} containers running",
+        f"Trino: {d['trino_url']} — {'UP' if d['trino_ok'] else 'DOWN'}"
+        + (f" (v{d['trino_version']}, uptime {d.get('trino_uptime')})" if d.get("trino_ok") else ""),
+        f"Spark UI: {d['spark_ui_url']}",
+        f"Kafka Connect: {d['kafka_connect_url']}",
+    ]
+    for c in d.get("containers", []):
+        port_str = ",".join(c["ports"]) if c["ports"] else "internal"
+        lines.append(f"  - {c['name']}: {c['state']} | {c['image']} | ports {port_str}")
+    return lines
+
+
+def _section_etl(d: dict[str, Any]) -> list[str]:
+    lines = [
+        f"Airflow ({d['airflow_url']}): {'HEALTHY' if d['airflow_healthy'] else 'DEGRADED'}",
+    ]
+    for comp, st in d.get("airflow_components", {}).items():
+        lines.append(f"  - {comp}: {st}")
+    lines.append(f"Kafka UI ({d['kafka_ui_url']}): {'UP' if d['kafka_ui_ok'] else 'DOWN'}")
+    lines.append(f"Kafka Connect ({d['kafka_connect_url']}): connectors {d.get('connectors') or 'none listed'}")
+    if d.get("connectors"):
+        lines.append("  Registered connector names (exact): " + ", ".join(d["connectors"]))
+    for cs in d.get("connector_status") or []:
+        tasks = cs.get("tasks") or []
+        lines.append(f"  Connector {cs['name']}: {cs.get('state', '?')}" + (f" tasks={tasks}" if tasks else ""))
+    lines.append(f"Spark UI ({d['spark_ui_url']}): {'UP' if d['spark_ui_ok'] else 'DOWN'}")
+    return lines
+
+
+def _section_hadoop(h: dict[str, Any]) -> list[str]:
+    lines = ["HDFS / Hadoop:"]
+    if not h.get("reachable"):
+        lines.append(f"  UNREACHABLE: {h.get('error', 'NameNode probe failed')}")
+        return lines
+    lines.extend([
+        f"  NameNode: {h['namenode']} ({h.get('hostname')}, HA {h.get('ha_state')})",
+        f"  Version: {h.get('hdfs_version')}, safemode: {h.get('safemode')}",
+        f"  Capacity: {h.get('capacity_used_gb')} GB used / {h.get('capacity_total_gb')} GB total "
+        f"({h.get('capacity_remaining_gb')} GB free, {h.get('percent_used', 0)}% used)",
+        f"  Files: {h.get('files_total')}, Blocks: {h.get('blocks_total')}",
+        f"  DataNodes: {h.get('live_datanodes')} live, {h.get('dead_datanodes')} dead",
+        f"  Replication factor (dfs.replication): {h.get('default_replication_factor')}",
+        f"  Block health: missing={h.get('missing_blocks')}, under-replicated={h.get('under_replicated_blocks')}, corrupt={h.get('corrupt_blocks')}",
+    ])
+    for dn in h.get("datanodes", []):
+        lines.append(
+            f"    - {dn['host']}: {dn['used_gb']} GB / {dn['capacity_gb']} GB, {dn['blocks']} blocks, {dn['state']}"
+        )
+    if (h.get("capacity_used_gb") or 0) < 0.01 and (h.get("files_total") or 0) > 0:
+        lines.append("  Note: metadata/small files only — almost no user data stored yet.")
+    return lines
+
+
+def _section_gpu(g: dict[str, Any]) -> list[str]:
+    lines = ["GPU Lab / vLLM inference:"]
+    if not g.get("ok"):
+        lines.append(f"  OFFLINE: {g.get('error', 'unreachable')}")
+        return lines
+    lines.extend([
+        f"  Manager: {g.get('ui_url')}",
+        f"  Model: {g.get('active_model')} (inference {'ON' if g.get('inference_active') else 'OFF'})",
+        f"  vLLM endpoint: {g.get('vllm_url')}",
+        f"  GPUs: {g.get('gpu_count')}x V100",
+    ])
+    for gpu in g.get("gpus", []):
+        lines.append(
+            f"    GPU{gpu['index']}: util {gpu['util_gpu']:.0f}%, "
+            f"VRAM {gpu['memory_used_mib']:.0f}/{gpu['memory_total_mib']:.0f} MiB, "
+            f"{gpu['temperature_c']}°C, {gpu['power_w']:.0f}W"
+        )
+    return lines
+
+
+
+
+def _section_objectscale(o: dict[str, Any]) -> list[str]:
+    lines = [
+        f"ObjectScale S3 ({o.get('host')}:{o.get('port')}): {'REACHABLE' if o.get('reachable') else 'DOWN'}",
+        f"  API: {o.get('url')} (HTTP {o.get('status_code', '?')})",
+        f"  Bucket: {o.get('bucket', 'data')} — landing zone for s3-kafka-consumer & Iceberg",
+    ]
+    if o.get("error"):
+        lines.append(f"  Error: {o['error']}")
+    return lines
+
+
+def _section_command_center(c: dict[str, Any]) -> list[str]:
+    lines = [
+        f"Command Center VM304: {c.get('host')} — {c.get('running', 0)}/{c.get('total', 0)} containers",
+        f"  URL: {c.get('url')}",
+        f"  Dockhand env: {c.get('dockhand_env')}",
+    ]
+    for row in c.get("containers", []):
+        port_str = ",".join(row["ports"]) if row.get("ports") else "internal"
+        lines.append(f"  - {row['name']}: {row['state']} | ports {port_str}")
+    return lines
+
+
+def _section_cluster_registry(_: dict[str, Any]) -> list[str]:
+    """Static cluster map — always available even when probes fail."""
+    lines = ["Cluster infrastructure map (Proxmox VMs & roles):"]
+    for nid, node in NODE_REGISTRY.items():
+        if nid in ("mo-commander", "bart-commander", "network-watcher", "mcp-coordinator"):
+            continue
+        vmid = node.get("vmid", "?")
+        lines.append(
+            f"  - {node['label']}: {node.get('vm')} VMID {vmid} @ {node.get('ip')} — {node.get('role')}"
+        )
+        desc = node.get("description") or ""
+        if desc:
+            lines.append(f"      {desc[:140]}")
+    lines.append("")
+    lines.append("Supervisors & control plane:")
+    for nid in ("mo-commander", "bart-commander", "mcp-coordinator", "network-watcher"):
+        node = NODE_REGISTRY[nid]
+        lines.append(f"  - {node['label']}: {(node.get('description') or '')[:120]}")
+    return lines
+
+SECTION_BUILDERS = {
+    "docker": _section_docker,
+    "databases": _section_databases,
+    "lakehouse": _section_lakehouse,
+    "etl": _section_etl,
+    "hadoop": _section_hadoop,
+    "gpu": _section_gpu,
+    "objectscale": _section_objectscale,
+    "command_center": _section_command_center,
+    "cluster_registry": _section_cluster_registry,
+}
+
+DOMAIN_ORDER = ["docker", "databases", "lakehouse", "etl", "hadoop", "gpu", "objectscale", "command_center", "cluster_registry"]
+
+
+async def collect_full_lab_context(
+    gpu_data: dict[str, Any] | None = None,
+    log: TerminalLogFn | None = None,
+    include_inventory: bool = True,
+) -> dict[str, Any]:
+    """Gather all lab domains in parallel with optional live terminal logging."""
+    await _log(log, "info", "fetch", "═══ Lab snapshot collection started ═══")
+    async with httpx.AsyncClient(timeout=10.0, verify=False) as client:
+        if gpu_data is None:
+            gpu_data = await collect_gpu_metrics(client, log)
+
+        docker_raw, db_raw, lake_raw, cc_raw, hdfs, etl, objectscale = await asyncio.gather(
+            dockhand_containers(client, DOCKHAND_ENVS["docker01"], log),
+            dockhand_containers(client, DOCKHAND_ENVS["db02"], log),
+            dockhand_containers(client, DOCKHAND_ENVS["lakehouse"], log),
+            dockhand_containers(client, DOCKHAND_ENV_COMMAND_CENTER, log),
+            collect_hdfs(client, log),
+            collect_etl(client, log),
+            collect_objectscale(client, log),
+        )
+        docker = await collect_docker_rack(client, docker_raw, log)
+        databases = await collect_databases(client, db_raw, log)
+        if include_inventory:
+            try:
+                databases["inventory"] = await collect_database_inventory()
+                inv_ok = databases["inventory"].get("engines_ok", 0)
+                await _log(log, "ok", "fetch", f"← Database inventory: {inv_ok} engines")
+            except Exception as exc:
+                await _log(log, "warn", "fetch", f"✗ Database inventory: {exc}")
+                databases["inventory"] = {"error": str(exc)}
+        lakehouse = await collect_lakehouse(client, lake_raw, log)
+        command_center = await collect_command_center(client, cc_raw, log)
+
+    await _log(log, "ok", "fetch", "═══ Lab snapshot complete ═══")
+    return {
+        "ts": datetime.now(timezone.utc).isoformat(),
+        "docker": docker,
+        "databases": databases,
+        "lakehouse": lakehouse,
+        "etl": etl,
+        "hadoop": hdfs,
+        "gpu": gpu_data,
+        "objectscale": objectscale,
+        "command_center": command_center,
+    }
+
+
+def format_context_for_agent(agent_id: str, snapshot: dict[str, Any]) -> str:
+    """Format full lab snapshot for LLM; primary domain first."""
+    primary = AGENT_PRIMARY_DOMAIN.get(agent_id, "docker")
+    lines = [
+        f"ATC Lab live snapshot — {snapshot.get('ts')}",
+        f"Your primary domain: {primary.upper()}",
+    ]
+    if snapshot.get("domains_summary"):
+        lines.append(f"Health summary: {json.dumps(snapshot['domains_summary'], default=str)}")
+    lines.extend(["", f"=== PRIMARY: {primary.upper()} ==="])
+
+    if primary in snapshot and primary in SECTION_BUILDERS:
+        lines.extend(SECTION_BUILDERS[primary](snapshot[primary]))
+    lines.append("")
+    lines.append("=== FULL LAB (all domains) ===")
+
+    if "cluster_registry" not in snapshot:
+        snapshot = {**snapshot, "cluster_registry": {}}
+
+    for domain in DOMAIN_ORDER:
+        if domain == primary:
+            continue
+        if domain not in snapshot or domain not in SECTION_BUILDERS:
+            continue
+        lines.append("")
+        lines.append(f"--- {domain.upper()} ---")
+        lines.extend(SECTION_BUILDERS[domain](snapshot[domain]))
+
+    return "\n".join(lines)

api/main.py

@@ -5,6 +5,7 @@ from __future__ import annotations
 import asyncio
 import json
 import os
+import time
 import uuid
 from contextlib import asynccontextmanager
 from datetime import datetime, timezone
@@ -12,15 +13,54 @@ from typing import Any
 
 import httpx
 import redis.asyncio as aioredis
-from fastapi import FastAPI, WebSocket, WebSocketDisconnect
+from fastapi import FastAPI, File, UploadFile, WebSocket, WebSocketDisconnect
 from fastapi.middleware.cors import CORSMiddleware
+from agent_terminal import (
+    get_all_terminals,
+    get_terminal_lines,
+    init_terminals,
+    make_logger,
+    set_terminal_publisher,
+    terminal_log,
+)
+from lab_context import collect_full_lab_context, format_context_for_agent
+from presentation import build_presentation_payload, render_presentation_html
+from presentation_upload import get_deck, list_decks, save_upload
+from presentation_static import get_static_deck, list_static_decks
+from storage_s3 import router as storage_s3_router
+from node_registry import NODE_IDS, NODE_AGENT, NODE_REGISTRY, is_node_id
+from node_ops import build_node_detail, probe_node, run_node_probe_task
+from approval_service import (
+    APPROVAL_ACTION_TYPES,
+    approval_stats,
+    create_approval_request,
+    decide_approval_request,
+    detect_agent_proposed_action,
+    detect_approval_intent,
+    list_approvals,
+)
+from db import SessionLocal, db_health, init_database
+from supervisor import mirror_terminal_line, mirror_to_supervisors
+
+from workload import build_workload_payload
+
+_workload_cache: dict[str, Any] = {"ts": 0.0, "data": None}
+_presentation_cache: dict[str, Any] = {"ts": 0.0, "data": None}
+WORKLOAD_CACHE_TTL = 30.0
+PRESENTATION_CACHE_TTL = 45.0
+
 from pydantic import BaseModel, Field
-from sqlalchemy import Column, DateTime, String, Text, create_engine, select
+from sqlalchemy import Column, DateTime, String, Text, select
-from sqlalchemy.orm import DeclarativeBase, Session, sessionmaker
+from sqlalchemy.orm import DeclarativeBase
 
 REDIS_URL = os.getenv("REDIS_URL", "redis://redis:6379/0")
 DOCKHAND_URL = os.getenv("DOCKHAND_URL", "http://10.0.21.45:8082")
-DATABASE_URL = os.getenv("DATABASE_URL", "sqlite:////data/atc-agents.db")
+GPU_URL = os.getenv("GPU_URL", "http://10.0.20.106:9000")
+GPU_UI_URL = os.getenv("GPU_UI_URL", GPU_URL)
+LLM_URL = os.getenv("LLM_URL", "http://10.0.20.106:8001/v1")
+LLM_MODEL = os.getenv("LLM_MODEL", "gpt-4o")
+LLM_API_KEY = os.getenv("LLM_API_KEY", "sk-local")
+LLM_TIMEOUT = float(os.getenv("LLM_TIMEOUT", "120"))
 
 AGENTS = [
     {
@@ -29,6 +69,14 @@ AGENTS = [
         "color": "#00f0ff",
         "zone": "etl",
         "role": "Airflow, Kafka, Debezium, S3 pipeline",
+        "icon": "⚡",
+        "motto": "Pipelines never sleep",
+        "capabilities": ["Airflow", "Kafka", "Debezium", "S3", "Connectors"],
+        "suggested_prompts": [
+            "How is Debezium doing?",
+            "Are all Airflow DAGs healthy?",
+            "Kafka connector status?",
+        ],
     },
     {
         "id": "lakehouse-ops",
@@ -36,6 +84,14 @@ AGENTS = [
         "color": "#ff00aa",
         "zone": "lakehouse",
         "role": "Spark, Trino, Iceberg",
+        "icon": "🏔️",
+        "motto": "Query the lake, trust the table",
+        "capabilities": ["Spark", "Trino", "Iceberg", "Delta", "SQL"],
+        "suggested_prompts": [
+            "Lakehouse stack status?",
+            "Is Trino reachable?",
+            "How many lakehouse containers are running?",
+        ],
     },
     {
         "id": "data-custodian",
@@ -43,6 +99,14 @@ AGENTS = [
         "color": "#ffaa00",
         "zone": "db",
         "role": "PostgreSQL, MySQL, Mongo, Cassandra, Neo4j",
+        "icon": "🛡️",
+        "motto": "Guardian of every row",
+        "capabilities": ["PostgreSQL", "MySQL", "MongoDB", "Cassandra", "Neo4j"],
+        "suggested_prompts": [
+            "Hoeveel data zit er in de databases?",
+            "Wat staat er in PostgreSQL sales_orders?",
+            "MongoDB supplychain overzicht",
+        ],
     },
     {
         "id": "hadoop-ranger",
@@ -50,13 +114,93 @@ AGENTS = [
         "color": "#39ff14",
         "zone": "hadoop",
         "role": "HDFS, YARN cluster",
+        "icon": "🌲",
+        "motto": "Patrol the data forest",
+        "capabilities": ["HDFS", "YARN", "NameNode", "DataNodes"],
+        "suggested_prompts": [
+            "Is HDFS NameNode up?",
+            "Hadoop cluster status?",
+            "YARN nodes healthy?",
+        ],
     },
     {
         "id": "infra-sentinel",
         "name": "Infra Sentinel",
-        "color": "#b366ff",
+        "color": "#9b72cf",
         "zone": "docker",
-        "role": "Docker, Proxmox, monitoring",
+        "role": "Docker, Proxmox, GPU, monitoring",
+        "icon": "👁️",
+        "motto": "See everything, miss nothing",
+        "capabilities": ["Docker", "Proxmox", "GPU", "vLLM", "Monitoring"],
+        "suggested_prompts": [
+            "GPU status?",
+            "Which LLM model is running?",
+            "Docker container overview",
+        ],
+    },
+    {
+        "id": "mo-commander",
+        "name": "Mo · Command",
+        "color": "#4c9aed",
+        "zone": "command",
+        "role": "Supervisor — full event intel, ingress, approvals",
+        "icon": "🎯",
+        "motto": "Nothing happens without Mo knowing",
+        "supervisor": True,
+        "person": "mo",
+        "capabilities": ["Events", "Ingress", "Approvals", "Agent dispatch", "Network IN"],
+        "suggested_prompts": [
+            "What happened today?",
+            "What events came in?",
+            "Pipeline status overview",
+        ],
+    },
+    {
+        "id": "bart-commander",
+        "name": "Bart · Ops",
+        "color": "#3fb950",
+        "zone": "command",
+        "role": "Supervisor — egress, MCP comms, network OUT",
+        "icon": "📡",
+        "motto": "All traffic flows through Bart",
+        "supervisor": True,
+        "person": "bart",
+        "capabilities": ["Egress", "MCP routing", "Network OUT", "GPU inference", "S3 writes"],
+        "suggested_prompts": [
+            "What is leaving the cluster?",
+            "MCP agent communication status?",
+            "Network egress overview",
+        ],
+    },
+    {
+        "id": "network-watcher",
+        "name": "Network Watcher",
+        "color": "#58a6ff",
+        "zone": "network",
+        "role": "VLAN 20/21 traffic, data in & out paths",
+        "icon": "🌐",
+        "motto": "Every packet tells a story",
+        "capabilities": ["VLAN 20", "VLAN 21", "Ingress", "Egress", "Firewall paths"],
+        "suggested_prompts": [
+            "Data ingress status?",
+            "What leaves the cluster?",
+            "Network path to S3?",
+        ],
+    },
+    {
+        "id": "mcp-coordinator",
+        "name": "MCP Coordinator",
+        "color": "#f778ba",
+        "zone": "mcp",
+        "role": "MCP hub — routes all agent tool calls & comms",
+        "icon": "🔀",
+        "motto": "Route once, deliver everywhere",
+        "capabilities": ["MCP servers", "Tool routing", "Agent relay", "WebSocket bus"],
+        "suggested_prompts": [
+            "Which MCP agents are active?",
+            "MCP hub route status?",
+            "Agent communication overview",
+        ],
     },
 ]
 
@@ -69,11 +213,18 @@ ZONES = [
 ]
 
 INTENT_KEYWORDS: dict[str, list[str]] = {
-    "data-custodian": ["database", "db", "postgres", "mysql", "mongo", "cassandra", "neo4j", "sql"],
+    "data-custodian": ["database", "postgres", "postgresql", "mysql", "mongo", "mongodb", "cassandra", "neo4j", "sql", "db "],
-    "lakehouse-ops": ["trino", "spark", "lakehouse", "iceberg", "query"],
+    "lakehouse-ops": ["trino", "spark", "lakehouse", "iceberg", "query", "table"],
-    "hadoop-ranger": ["hadoop", "hdfs", "yarn", "datanode"],
+    "hadoop-ranger": [
-    "infra-sentinel": ["docker", "container", "vm", "proxmox", "infra", "grafana"],
+        "hadoop", "hdfs", "yarn", "datanode", "namenode", "replicatie", "replication",
+        "rf factor", "opslag", "bestanden", "blocks", "cluster opslag", "data op",
+    ],
+    "infra-sentinel": ["docker", "container", "vm", "proxmox", "infra", "grafana", "gpu", "vllm", "llm", "nvidia", "inference", "model"],
     "etl-guardian": ["airflow", "dag", "debezium", "kafka", "connector", "etl", "pipeline", "s3"],
+    "network-watcher": ["network", "vlan", "ingress", "egress", "traffic", "packet", "firewall", "route"],
+    "mcp-coordinator": ["mcp", "tool", "router", "relay", "websocket", "hub"],
+    "mo-commander": ["mo", "supervisor", "events", "overzicht", "alles", "gebeurd"],
+    "bart-commander": ["bart", "egress", "uitgaand", "communicatie", "mcp comm"],
 }
 
 
@@ -100,11 +251,16 @@ class Approval(Base):
     action = Column(Text)
     reason = Column(Text)
     status = Column(String, default="pending")
+    action_type = Column(String, default="generic.mutate")
+    target = Column(Text, default="")
+    payload = Column(Text, default="{}")
+    decided_by = Column(String, nullable=True)
+    decide_note = Column(Text, nullable=True)
+    decided_at = Column(DateTime, nullable=True)
+    priority = Column(String, default="normal")
 
 
-engine = create_engine(DATABASE_URL, connect_args={"check_same_thread": False})
+_db_info = init_database(Base)
-SessionLocal = sessionmaker(bind=engine)
-Base.metadata.create_all(engine)
 
 redis_client: aioredis.Redis | None = None
 ws_clients: set[WebSocket] = set()
@@ -112,14 +268,35 @@ ws_clients: set[WebSocket] = set()
 
 class PromptRequest(BaseModel):
     message: str = Field(min_length=1, max_length=2000)
+    agent_id: str | None = None
+
+
+class NodeAskRequest(BaseModel):
+    message: str = Field(min_length=1, max_length=2000)
+
+
+class ApprovalCreateRequest(BaseModel):
+    agent_id: str = Field(min_length=1, max_length=64)
+    action: str = Field(min_length=1, max_length=2000)
+    reason: str = Field(min_length=1, max_length=2000)
+    action_type: str = "generic.mutate"
+    target: str = ""
+    payload: dict[str, Any] | None = None
+    priority: str = "normal"
 
 
 class ApprovalDecision(BaseModel):
     approved: bool
+    decided_by: str = "mo-commander"
+    note: str = ""
 
 
 def route_agent(message: str) -> str:
     lower = message.lower()
+    # Storage/data questions default to Hadoop unless clearly about databases
+    if any(w in lower for w in ("data", "opslag", "gb", "replicatie", "replication", "hdfs", "hadoop")):
+        if not any(w in lower for w in ("postgres", "mysql", "mongo", "database", "sql", "neo4j", "cassandra")):
+            return "hadoop-ranger"
     scores = {aid: sum(1 for kw in kws if kw in lower) for aid, kws in INTENT_KEYWORDS.items()}
     best = max(scores, key=scores.get)
     if scores[best] == 0:
@@ -127,6 +304,94 @@ def route_agent(message: str) -> str:
     return best
 
 
+async def gather_agent_context(
+    agent_id: str,
+    status: dict[str, Any],
+    log: Any | None = None,
+) -> str:
+    """Full lab snapshot for vLLM — all domains, agent's primary domain highlighted."""
+    snapshot = await collect_full_lab_context(gpu_data=status.get("gpu"), log=log)
+    snapshot["domains_summary"] = status.get("domains", {})
+    ctx = format_context_for_agent(agent_id, snapshot)
+    agent_lines = ["", "=== AGENTS & SUPERVISORS ==="]
+    for a in AGENTS:
+        sup = " [supervisor]" if a.get("supervisor") else ""
+        agent_lines.append(f"  - {a['name']} ({a['id']}){sup}: {a['role']}")
+    ctx = ctx + "\n".join(agent_lines)
+    if log:
+        await log("info", "fetch", f"▸ Context assembled: {len(ctx)} chars for LLM")
+    return ctx
+
+
+async def ask_llm(
+    agent_id: str,
+    message: str,
+    context: str,
+    log: Any | None = None,
+) -> str | None:
+    agent = next(a for a in AGENTS if a["id"] == agent_id)
+    system = f"""Je bent {agent['name']}, een autonomous ops agent in het Dell ATC data lab.
+Specialisatie: {agent['role']}.
+Motto: {agent.get('motto', '')}
+
+Je antwoordt namens je domein maar hebt zicht op de HELE lab stack: Docker, databases, lakehouse (Trino/Spark/Kafka Connect), ETL (Airflow/Kafka), Hadoop HDFS, en GPU/vLLM.
+
+Regels:
+- Antwoord in dezelfde taal als de gebruiker (Nederlands of Engels).
+- Je hebt volledige zicht op de HELE cluster: alle VMs, zones, connectors, GPU, Hadoop, ObjectScale en Command Center.
+- Gebruik ALLEEN de live data hieronder — verzin geen hosts, poorten, cijfers of connector namen.
+- Gebruik exact de container/connector namen uit de data (bijv. mysql-hr-connector, niet "Debezium").
+- Als iets DOWN of 0 GB is, zeg dat eerlijk.
+- Kort en behulpzaam (max ~10 zinnen); bullet lists mogen als het overzicht helpt.
+
+--- LIVE LAB DATA (primary domain eerst, daarna volledige stack) ---
+{context}
+"""
+    if log:
+        await log("info", "llm", f"▸ Querying vLLM model={LLM_MODEL}")
+        await log("cmd", "llm", f"$ POST {LLM_URL.rstrip('/')}/chat/completions")
+        await log("info", "llm", f"  user: {message[:160]}{'…' if len(message) > 160 else ''}")
+    try:
+        async with httpx.AsyncClient(timeout=LLM_TIMEOUT) as client:
+            t0 = time.monotonic()
+            r = await client.post(
+                f"{LLM_URL.rstrip('/')}/chat/completions",
+                headers={
+                    "Authorization": f"Bearer {LLM_API_KEY}",
+                    "Content-Type": "application/json",
+                },
+                json={
+                    "model": LLM_MODEL,
+                    "messages": [
+                        {"role": "system", "content": system},
+                        {"role": "user", "content": message},
+                    ],
+                    "max_tokens": 800,
+                    "temperature": 0.25,
+                },
+            )
+            r.raise_for_status()
+            content = r.json()["choices"][0]["message"]["content"].strip()
+            ms = int((time.monotonic() - t0) * 1000)
+            if content and content.strip("!"):
+                if log:
+                    await log("ok", "llm", f"← vLLM response {len(content)} chars ({ms}ms)")
+                    preview = content.replace("\n", " ")[:180]
+                    await log("info", "llm", f"  » {preview}{'…' if len(content) > 180 else ''}")
+                return content
+            if log:
+                await log("warn", "llm", f"← Empty or invalid LLM output ({ms}ms)")
+    except Exception as exc:
+        if log:
+            await log("err", "llm", f"✗ vLLM error: {exc}")
+    return None
+
+
+def fallback_answer(agent_id: str, context: str) -> str:
+    agent_name = next(a["name"] for a in AGENTS if a["id"] == agent_id)
+    return f"**{agent_name}** (offline LLM — ruwe data):\n\n{context}"
+
+
 async def publish_event(event: dict[str, Any]) -> None:
     payload = json.dumps(event, default=str)
     if redis_client:
@@ -140,6 +405,21 @@ async def publish_event(event: dict[str, Any]) -> None:
     for ws in dead:
         ws_clients.discard(ws)
 
+    et = event.get("type")
+    if et == "feed":
+        entry = event.get("entry") or {}
+        await mirror_to_supervisors(
+            entry.get("agent_id", "?"),
+            entry.get("message", ""),
+            level=entry.get("level", "info"),
+        )
+    elif et == "terminal":
+        await mirror_terminal_line(event.get("line") or {})
+    elif et in ("agent_dispatch", "agent_fetch", "agent_return"):
+        aid = event.get("agent_id", "?")
+        zone = event.get("zone", "")
+        await mirror_to_supervisors(aid, f"{et} → zone {zone}", level="info", phase="dispatch")
+
 
 def add_feed(agent_id: str, message: str, level: str = "info") -> dict:
     entry_id = str(uuid.uuid4())[:8]
@@ -175,6 +455,67 @@ async def probe_url(url: str) -> bool:
         return False
 
 
+async def collect_gpu() -> dict[str, Any]:
+    host = GPU_URL.replace("http://", "").replace("https://", "").split("/")[0]
+    base = {"ok": False, "host": host, "ui_url": GPU_UI_URL}
+
+    try:
+        async with httpx.AsyncClient(timeout=6.0) as client:
+            metrics_r, model_r, integration_r = await asyncio.gather(
+                client.get(f"{GPU_URL}/api/gpu/metrics"),
+                client.get(f"{GPU_URL}/api/active-model"),
+                client.get(f"{GPU_URL}/api/integration"),
+                return_exceptions=True,
+            )
+
+            gpus: list[dict[str, Any]] = []
+            if isinstance(metrics_r, httpx.Response) and metrics_r.status_code == 200:
+                current = metrics_r.json().get("current", {})
+                gpus = [
+                    {
+                        "index": g["index"],
+                        "name": g["name"],
+                        "util_gpu": g.get("util_gpu", 0),
+                        "memory_used_mib": g.get("memory_used_mib", 0),
+                        "memory_total_mib": g.get("memory_total_mib", 0),
+                        "temperature_c": g.get("temperature_c", 0),
+                        "power_w": g.get("power_w", 0),
+                    }
+                    for g in current.get("gpus", [])
+                ]
+
+            active_model = None
+            inference_active = False
+            vllm_url = None
+
+            if isinstance(model_r, httpx.Response) and model_r.status_code == 200:
+                model_data = model_r.json()
+                active_model = model_data.get("name")
+                inference_active = bool(model_data.get("inference_active"))
+                vllm_url = model_data.get("base_url")
+
+            if isinstance(integration_r, httpx.Response) and integration_r.status_code == 200:
+                integ = integration_r.json()
+                if not active_model:
+                    active_model = integ.get("active_name")
+                if not inference_active:
+                    inference_active = bool(integ.get("inference_active"))
+                if not vllm_url:
+                    vllm_url = integ.get("recommended_base_url")
+
+            return {
+                **base,
+                "ok": len(gpus) > 0 or inference_active,
+                "inference_active": inference_active,
+                "active_model": active_model,
+                "vllm_url": vllm_url,
+                "gpu_count": len(gpus),
+                "gpus": gpus,
+            }
+    except Exception as exc:
+        return {**base, "error": str(exc)}
+
+
 async def collect_status() -> dict[str, Any]:
     db_containers = await dockhand_env_containers(5)
     db_running = sum(1 for c in db_containers if c.get("state") == "running")
@@ -201,6 +542,10 @@ async def collect_status() -> dict[str, Any]:
             return "warn"
         return "down"
 
+    gpu = await collect_gpu()
+    gpu_level = "ok" if gpu.get("ok") and gpu.get("inference_active") else ("warn" if gpu.get("ok") else "down")
+    gpu_label = gpu.get("active_model") or (f"{gpu.get('gpu_count', 0)} GPUs" if gpu.get("ok") else "offline")
+
     return {
         "ts": datetime.now(timezone.utc).isoformat(),
         "domains": {
@@ -209,47 +554,112 @@ async def collect_status() -> dict[str, Any]:
             "lakehouse": {"level": level(lake_running, lake_total), "label": f"{lake_running}/{lake_total} up", "running": lake_running, "total": lake_total},
             "hadoop": {"level": "ok" if hdfs_ok else "warn", "label": "NN up" if hdfs_ok else "NN check"},
             "etl": {"level": "ok" if kafka_ok and airflow_ok else "warn", "label": "Kafka+Airflow"},
+            "gpu": {"level": gpu_level, "label": gpu_label},
         },
+        "gpu": gpu,
         "kafka_ok": kafka_ok,
         "airflow_ok": airflow_ok,
         "hdfs_ok": hdfs_ok,
     }
 
 
+
+
+async def _run_agent_task_safe(agent_id: str, message: str, prompt_id: str) -> None:
+  try:
+    await run_agent_task(agent_id, message, prompt_id)
+  except Exception as exc:
+    agent_name = next((a["name"] for a in AGENTS if a["id"] == agent_id), agent_id)
+    err = f"Sorry — {agent_name} could not complete your request: {exc}"
+    await terminal_log(agent_id, f"[{prompt_id}] ✗ Error: {exc}", level="err", phase="error", prompt_id=prompt_id)
+    feed = add_feed(agent_id, f"{agent_name} failed: {str(exc)[:80]}", "err")
+    await publish_event({"type": "feed", "entry": feed})
+    await publish_event({
+      "type": "prompt_result",
+      "prompt_id": prompt_id,
+      "agent_id": agent_id,
+      "answer": err,
+    })
+
+
 async def run_agent_task(agent_id: str, message: str, prompt_id: str) -> str:
     zone = next(a["zone"] for a in AGENTS if a["id"] == agent_id)
+    agent_name = next(a["name"] for a in AGENTS if a["id"] == agent_id)
+    log = make_logger(agent_id, prompt_id)
+    approval_created = False
+
+    intent = detect_approval_intent(message)
+    if intent:
+        with SessionLocal() as db:
+            await create_approval_request(
+                db=db,
+                ApprovalModel=Approval,
+                agent_id=agent_id,
+                action=intent["action"],
+                reason=intent["reason"],
+                action_type=intent["action_type"],
+                terminal_log=terminal_log,
+                mirror_supervisors=mirror_to_supervisors,
+                publish=publish_event,
+                add_feed=add_feed,
+            )
+        approval_created = True
+        await terminal_log(
+            agent_id,
+            f"[{prompt_id}] Mutating request detected — approval queued for Mo & Bart",
+            level="warn",
+            phase="approval",
+            prompt_id=prompt_id,
+        )
+
+    await terminal_log(
+        agent_id,
+        f"[{prompt_id}] ▶ Mission accepted: {message}",
+        level="info",
+        phase="dispatch",
+        prompt_id=prompt_id,
+    )
     await publish_event({"type": "agent_dispatch", "agent_id": agent_id, "zone": zone, "prompt_id": prompt_id})
-    await asyncio.sleep(0.8)
+    await asyncio.sleep(0.4)
+    await terminal_log(agent_id, f"[{prompt_id}] Walking to zone: {zone}", level="info", phase="dispatch", prompt_id=prompt_id)
     await publish_event({"type": "agent_fetch", "agent_id": agent_id, "zone": zone, "prompt_id": prompt_id})
 
+    await log("info", "fetch", f"[{prompt_id}] Collecting live lab metrics…")
     status = await collect_status()
-    answer_parts = [f"**{next(a['name'] for a in AGENTS if a['id'] == agent_id)}** reporting:"]
+    context = await gather_agent_context(agent_id, status, log=log)
 
-    if agent_id == "data-custodian":
+    answer = await ask_llm(agent_id, message, context, log=log)
-        db = status["domains"]["databases"]
+    if not answer:
-        containers = await dockhand_env_containers(5)
+        await log("warn", "llm", "LLM fallback — returning raw context")
-        names = ", ".join(f"{c['name']}:{c.get('state','?')}" for c in containers[:8])
+        answer = fallback_answer(agent_id, context)
-        answer_parts.append(f"Databases {db['label']}. Containers: {names or 'unreachable'}.")
-    elif agent_id == "etl-guardian":
-        answer_parts.append(
-            f"Kafka UI: {'OK' if status['kafka_ok'] else 'DOWN'}. "
-            f"Airflow: {'OK' if status['airflow_ok'] else 'DOWN'}. "
-            f"Lakehouse {status['domains']['lakehouse']['label']}."
-        )
-    elif agent_id == "lakehouse-ops":
-        answer_parts.append(f"Lakehouse stack {status['domains']['lakehouse']['label']}. Trino at 10.0.21.50:8089.")
-    elif agent_id == "hadoop-ranger":
-        answer_parts.append(f"HDFS NameNode: {'reachable' if status['hdfs_ok'] else 'unreachable'} on 10.0.21.61:9870.")
-    else:
-        answer_parts.append(
-            f"Docker {status['domains']['docker']['label']}. "
-            f"Overall lab health snapshot collected."
-        )
 
-    answer = " ".join(answer_parts)
+    if not approval_created:
-    await asyncio.sleep(0.6)
+        proposed = detect_agent_proposed_action(answer, message)
+        if proposed:
+            with SessionLocal() as db:
+                await create_approval_request(
+                    db=db,
+                    ApprovalModel=Approval,
+                    agent_id=agent_id,
+                    action=proposed["action"],
+                    reason=proposed["reason"],
+                    action_type=proposed["action_type"],
+                    target=proposed.get("target", ""),
+                    terminal_log=terminal_log,
+                    mirror_supervisors=mirror_to_supervisors,
+                    publish=publish_event,
+                    add_feed=add_feed,
+                )
+            approval_created = True
+            answer = (
+                f"{answer}\n\n⏸ **Approval required** — this action is in the Approval Inbox. "
+                f"Mo & Bart have been notified and must approve before we execute."
+            )
+
+    await asyncio.sleep(0.3)
+    await terminal_log(agent_id, f"[{prompt_id}] ✓ Mission complete", level="ok", phase="done", prompt_id=prompt_id)
     await publish_event({"type": "agent_return", "agent_id": agent_id, "zone": zone, "prompt_id": prompt_id})
-    feed = add_feed(agent_id, f"Prompt answered: {message[:80]}", "info")
+    feed = add_feed(agent_id, f"{agent_name} completed a response (see Comms)", "info")
     await publish_event({"type": "feed", "entry": feed})
     await publish_event({"type": "prompt_result", "prompt_id": prompt_id, "agent_id": agent_id, "answer": answer})
     return answer
@@ -259,7 +669,9 @@ async def heartbeat_loop() -> None:
     while True:
         try:
             status = await collect_status()
+            workload = await collect_workload()
             await publish_event({"type": "status", "data": status})
+            await publish_event({"type": "workload", "data": workload})
             for domain, info in status["domains"].items():
                 if info["level"] == "down":
                     agent = "data-custodian" if domain == "databases" else "infra-sentinel"
@@ -274,6 +686,15 @@ async def heartbeat_loop() -> None:
 async def lifespan(app: FastAPI):
     global redis_client
     redis_client = aioredis.from_url(REDIS_URL, decode_responses=True)
+    set_terminal_publisher(publish_event)
+    init_terminals([a["id"] for a in AGENTS] + NODE_IDS)
+    for a in AGENTS:
+        await terminal_log(a["id"], f"{a['name']} terminal online — awaiting missions", level="info", phase="boot")
+    for nid in NODE_IDS:
+        if nid not in NODE_REGISTRY:
+            continue
+        meta = NODE_REGISTRY[nid]
+        await terminal_log(nid, f"{meta['label']} shell ready — click node to connect", level="info", phase="boot")
     task = asyncio.create_task(heartbeat_loop())
     add_feed("infra-sentinel", "ATC Command Center API online", "info")
     yield
@@ -283,6 +704,7 @@ async def lifespan(app: FastAPI):
 
 
 app = FastAPI(title="ATC Command Center API", lifespan=lifespan)
+app.include_router(storage_s3_router)
 app.add_middleware(
     CORSMiddleware,
     allow_origins=["*"],
@@ -294,7 +716,103 @@ app.add_middleware(
 
 @app.get("/api/health")
 async def health():
-    return {"ok": True, "ts": datetime.now(timezone.utc).isoformat()}
+    llm_ok = False
+    try:
+        async with httpx.AsyncClient(timeout=4.0) as client:
+            r = await client.get(f"{LLM_URL.rstrip('/')}/models", headers={"Authorization": f"Bearer {LLM_API_KEY}"})
+            llm_ok = r.status_code == 200
+    except Exception:
+        pass
+    return {
+        "ok": True,
+        "ts": datetime.now(timezone.utc).isoformat(),
+        "llm_url": LLM_URL,
+        "llm_ok": llm_ok,
+        "llm_model": LLM_MODEL,
+        "database": db_health(),
+        "db_init": _db_info,
+    }
+
+
+async def collect_workload(*, fast: bool = True, use_cache: bool = True) -> dict[str, Any]:
+    import time as _time
+    now = _time.time()
+    if use_cache and _workload_cache.get("data") and now - float(_workload_cache.get("ts") or 0) < WORKLOAD_CACHE_TTL:
+        return _workload_cache["data"]
+    gpu = await collect_gpu()
+    snap = await collect_full_lab_context(gpu_data=gpu, include_inventory=not fast)
+    payload = build_workload_payload(snap)
+    _workload_cache["ts"] = now
+    _workload_cache["data"] = payload
+    return payload
+
+
+
+
+async def get_presentation_data(*, use_cache: bool = True) -> dict[str, Any]:
+    import time as _time
+    now = _time.time()
+    if use_cache and _presentation_cache.get("data") and now - float(_presentation_cache.get("ts") or 0) < PRESENTATION_CACHE_TTL:
+        return _presentation_cache["data"]
+    gpu = await collect_gpu()
+    snap = await collect_full_lab_context(gpu_data=gpu, include_inventory=False)
+    data = build_presentation_payload(snap)
+    data["source"] = "live"
+    _presentation_cache["ts"] = now
+    _presentation_cache["data"] = data
+    return data
+
+
+@app.get("/api/presentation")
+async def get_presentation():
+    return await get_presentation_data()
+
+
+@app.get("/api/presentation/html")
+async def get_presentation_html():
+    from fastapi.responses import HTMLResponse
+    payload = await get_presentation_data()
+    return HTMLResponse(render_presentation_html(payload))
+
+
+@app.get("/api/presentation/decks")
+async def get_presentation_decks():
+    return {"live": True, "builtin": list_static_decks(), "uploaded": list_decks()}
+
+
+@app.get("/api/presentation/decks/{deck_id}")
+async def get_presentation_deck(deck_id: str):
+    if deck_id == "live":
+        return await get_presentation_data()
+    deck = get_static_deck(deck_id) or get_deck(deck_id)
+    if not deck:
+        return {"error": "deck not found"}
+    return deck
+
+
+@app.get("/api/presentation/decks/{deck_id}/html")
+async def get_presentation_deck_html(deck_id: str):
+    from fastapi.responses import HTMLResponse
+    if deck_id == "live":
+        payload = await get_presentation_data()
+    else:
+        payload = get_static_deck(deck_id) or get_deck(deck_id)
+        if not payload:
+            return HTMLResponse("<h1>Deck not found</h1>", status_code=404)
+    return HTMLResponse(render_presentation_html(payload))
+
+
+@app.post("/api/presentation/upload")
+async def upload_presentation(file: UploadFile = File(...)):
+    content = await file.read()
+    if len(content) > 50 * 1024 * 1024:
+        return {"error": "file too large (max 50MB)"}
+    deck = await save_upload(file.filename or "upload.pptx", content)
+    return {"ok": True, "deck": deck}
+
+@app.get("/api/workload")
+async def get_workload(fast: bool = True):
+    return await collect_workload(fast=fast, use_cache=True)
 
 
 @app.get("/api/status")
@@ -302,9 +820,95 @@ async def get_status():
     return await collect_status()
 
 
+@app.get("/api/gpu")
+async def get_gpu():
+    return await collect_gpu()
+
+
+def agent_stats() -> dict[str, dict[str, Any]]:
+    stats: dict[str, dict[str, Any]] = {a["id"]: {"tasks": 0, "last_active": None, "alerts": 0} for a in AGENTS}
+    with SessionLocal() as db:
+        rows = db.execute(select(FeedEntry).order_by(FeedEntry.ts.desc()).limit(200)).scalars().all()
+    for r in rows:
+        aid = r.agent_id
+        if aid not in stats:
+            continue
+        stats[aid]["tasks"] += 1
+        if r.level == "warn":
+            stats[aid]["alerts"] += 1
+        if stats[aid]["last_active"] is None and r.ts:
+            stats[aid]["last_active"] = r.ts.isoformat()
+    return stats
+
+
 @app.get("/api/agents")
 async def get_agents():
-    return {"agents": AGENTS, "zones": ZONES}
+    stats = agent_stats()
+    enriched = [{**a, "stats": stats.get(a["id"], {})} for a in AGENTS]
+    return {"agents": enriched, "zones": ZONES}
+
+
+@app.get("/api/terminals")
+async def get_terminals(limit: int = 200):
+    return {"terminals": get_all_terminals(limit)}
+
+
+@app.get("/api/terminals/{subject_id}")
+async def get_subject_terminal(subject_id: str, limit: int = 200):
+    valid_agents = {a["id"] for a in AGENTS}
+    if subject_id not in valid_agents and not is_node_id(subject_id):
+        return {"error": "unknown subject"}
+    return {"agent_id": subject_id, "lines": get_terminal_lines(subject_id, limit)}
+
+
+@app.get("/api/nodes")
+async def list_nodes():
+    workload = await collect_workload()
+    nodes = workload.get("topology", {}).get("nodes", [])
+    return {"nodes": [{"id": n["id"], "label": n["label"], "ip": n["ip"], "level": n["level"]} for n in nodes]}
+
+
+@app.get("/api/nodes/{node_id}")
+async def get_node(node_id: str):
+    if not is_node_id(node_id):
+        return {"error": "unknown node"}
+    workload = await collect_workload()
+    wn = next((n for n in workload.get("topology", {}).get("nodes", []) if n["id"] == node_id), None)
+    gpu = await collect_gpu()
+    snap = await collect_full_lab_context(gpu_data=gpu)
+    return build_node_detail(node_id, snap, wn)
+
+
+@app.post("/api/nodes/{node_id}/probe")
+async def post_node_probe(node_id: str):
+    if not is_node_id(node_id):
+        return {"error": "unknown node"}
+    asyncio.create_task(run_node_probe_task(node_id))
+    return {"ok": True, "node_id": node_id, "status": "probing"}
+
+
+async def run_node_ask_task(node_id: str, message: str) -> None:
+    agent_id = NODE_AGENT.get(node_id, "infra-sentinel")
+    meta = NODE_REGISTRY[node_id]
+    await terminal_log(node_id, f"▶ Query: {message}", level="info", phase="ask")
+    await terminal_log(node_id, f"→ Routing to agent {agent_id}", level="info", phase="ask")
+    log = make_logger(node_id)
+    status = await collect_status()
+    context = await gather_agent_context(agent_id, status, log=log)
+    node_ctx = f"\n\n=== FOCUSED NODE: {meta['label']} ({meta['ip']}) ===\n{meta.get('description', '')}\n"
+    answer = await ask_llm(agent_id, message, context + node_ctx, log=log)
+    if not answer:
+        answer = fallback_answer(agent_id, context)
+    await terminal_log(node_id, f"◆ {answer}", level="llm", phase="answer")
+    await publish_event({"type": "node_ask_result", "node_id": node_id, "agent_id": agent_id, "answer": answer})
+
+
+@app.post("/api/nodes/{node_id}/ask")
+async def post_node_ask(node_id: str, body: NodeAskRequest):
+    if not is_node_id(node_id):
+        return {"error": "unknown node"}
+    asyncio.create_task(run_node_ask_task(node_id, body.message))
+    return {"ok": True, "node_id": node_id, "agent_id": NODE_AGENT.get(node_id), "status": "processing"}
 
 
 @app.get("/api/feed")
@@ -326,47 +930,73 @@ async def get_feed(limit: int = 50):
 
 
 @app.get("/api/approvals")
-async def get_approvals():
+async def get_approvals(status: str = "pending", limit: int = 100):
     with SessionLocal() as db:
-        rows = db.execute(select(Approval).where(Approval.status == "pending")).scalars().all()
+        items = list_approvals(db, Approval, status=status, limit=limit)
-    return {
+        stats = approval_stats(db, Approval)
-        "approvals": [
+    return {"approvals": items, "stats": stats, "action_types": APPROVAL_ACTION_TYPES}
-            {
+
-                "id": r.id,
+
-                "ts": r.ts.isoformat() if r.ts else None,
+@app.get("/api/approvals/stats")
-                "agent_id": r.agent_id,
+async def get_approval_stats():
-                "action": r.action,
+    with SessionLocal() as db:
-                "reason": r.reason,
+        return approval_stats(db, Approval)
-                "status": r.status,
+
-            }
+
-            for r in rows
+@app.post("/api/approvals")
-        ]
+async def post_approval(body: ApprovalCreateRequest):
-    }
+    valid_ids = {a["id"] for a in AGENTS}
+    if body.agent_id not in valid_ids:
+        return {"error": "unknown agent_id"}
+    if body.action_type not in APPROVAL_ACTION_TYPES:
+        body.action_type = "generic.mutate"
+    with SessionLocal() as db:
+        item = await create_approval_request(
+            db=db,
+            ApprovalModel=Approval,
+            agent_id=body.agent_id,
+            action=body.action,
+            reason=body.reason,
+            action_type=body.action_type,
+            target=body.target,
+            payload=body.payload,
+            priority=body.priority,
+            terminal_log=terminal_log,
+            mirror_supervisors=mirror_to_supervisors,
+            publish=publish_event,
+            add_feed=add_feed,
+        )
+    return {"ok": True, "approval": item}
 
 
 @app.post("/api/approvals/{approval_id}/decide")
 async def decide_approval(approval_id: str, body: ApprovalDecision):
+    valid_supervisors = {"mo-commander", "bart-commander"}
+    decided_by = body.decided_by if body.decided_by in valid_supervisors else "mo-commander"
     with SessionLocal() as db:
-        row = db.get(Approval, approval_id)
+        item = await decide_approval_request(
-        if not row:
+            db=db,
-            return {"error": "not found"}
+            ApprovalModel=Approval,
-        row.status = "approved" if body.approved else "denied"
+            approval_id=approval_id,
-        db.commit()
+            approved=body.approved,
-        agent_id = row.agent_id
+            decided_by=decided_by,
-        action = row.action
+            note=body.note,
-    msg = f"Approval {'approved' if body.approved else 'denied'}: {action}"
+            terminal_log=terminal_log,
-    feed = add_feed(agent_id, msg, "info" if body.approved else "warn")
+            publish=publish_event,
-    await publish_event({"type": "feed", "entry": feed})
+            add_feed=add_feed,
-    await publish_event({"type": "approval_update", "id": approval_id, "status": row.status})
+        )
-    return {"ok": True, "status": row.status}
+    if not item:
+        return {"error": "not found"}
+    return {"ok": True, "approval": item}
 
 
 @app.post("/api/prompt")
 async def post_prompt(body: PromptRequest):
     prompt_id = str(uuid.uuid4())[:8]
-    agent_id = route_agent(body.message)
+    valid_ids = {a["id"] for a in AGENTS}
+    agent_id = body.agent_id if body.agent_id in valid_ids else route_agent(body.message)
     add_feed(agent_id, f"Prompt received: {body.message}", "info")
-    asyncio.create_task(run_agent_task(agent_id, body.message, prompt_id))
+    asyncio.create_task(_run_agent_task_safe(agent_id, body.message, prompt_id))
     return {"prompt_id": prompt_id, "agent_id": agent_id, "status": "dispatched"}
 
 
@@ -376,7 +1006,13 @@ async def ws_ops(websocket: WebSocket):
     ws_clients.add(websocket)
     try:
         status = await collect_status()
+        workload = await collect_workload()
         await websocket.send_text(json.dumps({"type": "status", "data": status}, default=str))
+        await websocket.send_text(json.dumps({"type": "workload", "data": workload}, default=str))
+        await websocket.send_text(json.dumps({
+            "type": "terminal_history",
+            "terminals": get_all_terminals(150),
+        }, default=str))
         while True:
             await websocket.receive_text()
     except WebSocketDisconnect:

api/node_ops.py

@@ -0,0 +1,186 @@
+"""Live probe + context for topology nodes."""
+
+from __future__ import annotations
+
+import asyncio
+from typing import Any
+
+import httpx
+
+from agent_terminal import terminal_log
+from lab_context import (
+    AIRFLOW_URL,
+    DOCKHAND_URL,
+    GPU_URL,
+    HDFS_NN_URL,
+    KAFKA_CONNECT_URL,
+    KAFKA_UI_URL,
+    LAKEHOUSE_HOST,
+    OBJECTSCALE_URL,
+    SPARK_UI_URL,
+    TRINO_URL,
+    collect_databases,
+    collect_docker_rack,
+    collect_etl,
+    collect_gpu_metrics,
+    collect_hdfs,
+    collect_lakehouse,
+    collect_objectscale,
+    dockhand_containers,
+)
+from node_registry import NODE_AGENT, NODE_REGISTRY
+
+
+async def _log(node_id: str, level: str, phase: str, text: str) -> None:
+    await terminal_log(node_id, text, level=level, phase=phase)
+
+
+async def probe_node(node_id: str) -> dict[str, Any]:
+    """Run live probes for a topology node; stream output to node terminal."""
+    meta = NODE_REGISTRY.get(node_id)
+    if not meta:
+        return {"error": "unknown node"}
+
+    await _log(node_id, "info", "shell", f"═══ Connecting to {meta['label']} ({meta['ip']}) ═══")
+    await _log(node_id, "cmd", "shell", f"$ probe --node {node_id} --vm {meta['vm']}")
+
+    result: dict[str, Any] = {"node_id": node_id, "ok": True}
+
+    async with httpx.AsyncClient(timeout=10.0, verify=False) as client:
+        if node_id == "airflow":
+            etl = await collect_etl(client)
+            result["data"] = etl
+            healthy = etl.get("airflow_healthy")
+            await _log(node_id, "ok" if healthy else "warn", "shell", f"Airflow scheduler: {'HEALTHY' if healthy else 'DEGRADED'}")
+            for comp, st in (etl.get("airflow_components") or {}).items():
+                await _log(node_id, "info", "shell", f"  · {comp}: {st}")
+
+        elif node_id == "db":
+            raw = await dockhand_containers(client, 5)
+            db = await collect_databases(client, raw)
+            result["data"] = db
+            await _log(node_id, "ok", "shell", f"DB vault: {db['running']}/{db['total']} containers up")
+            for engine, items in (db.get("by_engine") or {}).items():
+                await _log(node_id, "info", "shell", f"  {engine}:")
+                for item in items:
+                    await _log(node_id, "info", "shell", f"    - {item}")
+
+        elif node_id == "debezium":
+            etl = await collect_etl(client)
+            result["data"] = {"connectors": etl.get("connectors")}
+            await _log(node_id, "ok", "shell", f"Kafka Connect @ {KAFKA_CONNECT_URL}")
+            for c in etl.get("connectors") or []:
+                await _log(node_id, "info", "shell", f"  ✓ {c}")
+
+        elif node_id == "kafka":
+            etl = await collect_etl(client)
+            result["data"] = {"kafka_ui_ok": etl.get("kafka_ui_ok")}
+            await _log(node_id, "ok" if etl.get("kafka_ui_ok") else "warn", "shell", f"Kafka UI {KAFKA_UI_URL}: {'UP' if etl.get('kafka_ui_ok') else 'DOWN'}")
+            await _log(node_id, "info", "shell", f"  Broker: 10.0.21.36:9092")
+
+        elif node_id == "lakehouse":
+            raw = await dockhand_containers(client, 9)
+            lh = await collect_lakehouse(client, raw)
+            result["data"] = lh
+            await _log(node_id, "ok", "shell", f"Lakehouse {lh['host']}: {lh['running']}/{lh['total']} containers")
+            await _log(node_id, "info", "shell", f"  Trino {TRINO_URL}: {'UP' if lh.get('trino_ok') else 'DOWN'}")
+            for c in lh.get("containers") or []:
+                ports = ",".join(c.get("ports") or []) or "internal"
+                await _log(node_id, "info", "shell", f"  · {c['name']}: {c['state']} ports={ports}")
+
+        elif node_id == "s3":
+            os_data = await collect_objectscale(client)
+            raw = await dockhand_containers(client, 9)
+            consumer = next((c for c in raw if "s3-kafka" in f"{c.get('name', '')} {c.get('image', '')}".lower()), None)
+            result["data"] = {"objectscale": os_data, "consumer": consumer}
+            await _log(node_id, "ok" if os_data.get("reachable") else "warn", "shell", f"ObjectScale {OBJECTSCALE_URL}: {'UP' if os_data.get('reachable') else 'DOWN'}")
+            await _log(node_id, "info", "shell", f"  Bucket: data @ {os_data.get('host')}:{os_data.get('port')}")
+            if consumer:
+                await _log(node_id, "info", "shell", f"  s3-kafka-consumer: {consumer.get('state')}")
+
+        elif node_id == "docker":
+            raw = await dockhand_containers(client, 1)
+            dk = await collect_docker_rack(client, raw)
+            result["data"] = dk
+            await _log(node_id, "ok", "shell", f"Docker rack: {dk['running']}/{dk['total']} running")
+            for c in dk.get("containers") or []:
+                ports = ",".join(c.get("ports") or []) or "internal"
+                lvl = "info" if c.get("state") == "running" else "warn"
+                await _log(node_id, lvl, "shell", f"  · {c['name']}: {c['state']} ports={ports}")
+
+        elif node_id == "hadoop":
+            hdfs = await collect_hdfs(client)
+            result["data"] = hdfs
+            if hdfs.get("reachable"):
+                await _log(node_id, "ok", "shell", f"NameNode {HDFS_NN_URL}: UP")
+                await _log(node_id, "info", "shell", f"  Capacity: {hdfs.get('capacity_used_gb')}GB / {hdfs.get('capacity_total_gb')}GB")
+                await _log(node_id, "info", "shell", f"  DataNodes: {hdfs.get('live_datanodes')} live, RF=3")
+                for dn in hdfs.get("datanodes") or []:
+                    await _log(node_id, "info", "shell", f"    · {dn['host']}: {dn['used_gb']}GB used, {dn['blocks']} blocks")
+            else:
+                await _log(node_id, "err", "shell", "NameNode unreachable")
+
+        elif node_id == "gpu":
+            gpu = await collect_gpu_metrics(client)
+            result["data"] = gpu
+            await _log(node_id, "ok" if gpu.get("ok") else "warn", "shell", f"GPU Lab {GPU_URL}")
+            await _log(node_id, "info", "shell", f"  Model: {gpu.get('active_model')} inference={'ON' if gpu.get('inference_active') else 'OFF'}")
+            for g in gpu.get("gpus") or []:
+                await _log(node_id, "info", "shell", f"  GPU{g['index']}: {g['util_gpu']:.0f}% VRAM {g['memory_used_mib']:.0f}/{g['memory_total_mib']:.0f} MiB")
+
+        elif node_id == "command":
+            result["data"] = {"agents": 9, "url": "http://10.0.21.33"}
+            await _log(node_id, "ok", "shell", "Command Center online — 9 agents ready")
+            await _log(node_id, "info", "shell", "  API: http://10.0.21.33/api")
+            await _log(node_id, "info", "shell", "  WebSocket: /api/ws/ops")
+
+        elif node_id in ("mo-commander", "bart-commander", "mcp-coordinator", "network-watcher"):
+            from node_registry import NODE_REGISTRY
+            meta = NODE_REGISTRY[node_id]
+            await _log(node_id, "ok", "shell", f"{meta['label']} online — monitoring all agent comms")
+            await _log(node_id, "info", "shell", meta.get("description", ""))
+            result["data"] = {"role": meta.get("role")}
+
+    await _log(node_id, "ok", "shell", "═══ Probe complete — type a question below ═══")
+    return result
+
+
+def build_node_detail(node_id: str, snap: dict[str, Any], workload_node: dict | None = None) -> dict[str, Any]:
+    """Rich context payload for a single node."""
+    meta = dict(NODE_REGISTRY.get(node_id, {}))
+    if not meta:
+        return {"error": "unknown node"}
+
+    wn = workload_node or {}
+    agent_id = NODE_AGENT.get(node_id, "infra-sentinel")
+
+    detail: dict[str, Any] = {
+        "id": node_id,
+        "agent_id": agent_id,
+        **meta,
+        "level": wn.get("level", "unknown"),
+        "running": wn.get("running", 0),
+        "total": wn.get("total", 0),
+        "apps": wn.get("apps", []),
+        "connectors": wn.get("connectors"),
+        "bucket": wn.get("bucket") or meta.get("bucket"),
+        "port": wn.get("port"),
+        "model": wn.get("model"),
+        "util": wn.get("util"),
+        "hdfs_used_gb": wn.get("hdfs_used_gb"),
+        "hdfs_total_gb": wn.get("hdfs_total_gb"),
+        "trino_ok": wn.get("trino_ok"),
+        "consumer_ok": wn.get("consumer_ok"),
+    }
+
+    edges = (snap.get("_edges") or []) if False else []
+    _ = edges  # reserved for future edge context from workload
+
+    return detail
+
+
+async def run_node_probe_task(node_id: str) -> None:
+    try:
+        await probe_node(node_id)
+    except Exception as exc:
+        await _log(node_id, "err", "shell", f"Probe failed: {exc}")

api/node_registry.py

@@ -0,0 +1,268 @@
+"""Static registry + helpers for topology node metadata."""
+
+from __future__ import annotations
+
+from typing import Any
+
+NODE_IDS = [
+    "airflow", "db", "debezium", "kafka", "lakehouse", "s3",
+    "docker", "hadoop", "gpu", "command",
+    "mo-commander", "bart-commander", "network-watcher", "mcp-coordinator",
+]
+
+NODE_AGENT = {
+    "airflow": "etl-guardian",
+    "db": "data-custodian",
+    "debezium": "etl-guardian",
+    "kafka": "etl-guardian",
+    "lakehouse": "lakehouse-ops",
+    "s3": "lakehouse-ops",
+    "docker": "infra-sentinel",
+    "hadoop": "hadoop-ranger",
+    "gpu": "infra-sentinel",
+    "command": "infra-sentinel",
+}
+
+NODE_REGISTRY: dict[str, dict[str, Any]] = {
+    "airflow": {
+        "label": "Airflow",
+        "vm": "atc-airflow01",
+        "vmid": 105,
+        "pve": "pve01",
+        "ip": "10.0.21.55",
+        "ssh": "ssh root@10.0.21.55",
+        "role": "orchestrator",
+        "color": "#4c9aed",
+        "description": "Orchestrates DAG generate_data_all_databases — seeds PostgreSQL, MySQL, MongoDB, Cassandra and Neo4j on db02.",
+        "links": [{"label": "Airflow UI", "url": "http://10.0.21.55:8080"}],
+        "endpoints": [{"name": "web", "host": "10.0.21.55", "port": "8080", "proto": "http"}],
+        "commands": ["dag list", "health check", "trigger generate_data_all_databases"],
+    },
+    "db": {
+        "label": "DB Vault",
+        "vm": "atc-db02",
+        "vmid": 109,
+        "pve": "pve01",
+        "ip": "10.0.21.51",
+        "ssh": "ssh root@10.0.21.51",
+        "role": "sources",
+        "color": "#e8a838",
+        "description": "Source-of-truth databases for CDC. Debezium connectors capture changes from PostgreSQL sales, MySQL HR, MongoDB supply chain and Cassandra telemetry.",
+        "links": [{"label": "Dockhand env 5", "url": "http://10.0.21.45:8082"}],
+        "endpoints": [
+            {"name": "postgres_sales", "host": "10.0.21.51", "port": "5432", "proto": "tcp"},
+            {"name": "mysql_hr", "host": "10.0.21.51", "port": "3306", "proto": "tcp"},
+            {"name": "mongodb_supplychain", "host": "10.0.21.51", "port": "27017", "proto": "tcp"},
+            {"name": "cassandra_telemetry", "host": "10.0.21.51", "port": "9042", "proto": "tcp"},
+            {"name": "neo4j_graph", "host": "10.0.21.51", "port": "7687", "proto": "tcp"},
+        ],
+        "commands": ["list containers", "engine status", "connector sources"],
+    },
+    "debezium": {
+        "label": "Debezium CDC",
+        "vm": "atc-lake01",
+        "vmid": 108,
+        "pve": "pve01",
+        "ip": "10.0.21.50",
+        "ssh": "ssh root@10.0.21.50",
+        "role": "cdc",
+        "color": "#c77dff",
+        "description": "Kafka Connect on lake01 runs Debezium connectors — streams row-level changes from source DBs into Kafka topics.",
+        "links": [{"label": "Kafka Connect", "url": "http://10.0.21.50:8083"}],
+        "endpoints": [{"name": "kafka-connect", "host": "10.0.21.50", "port": "8083", "proto": "http"}],
+        "commands": ["list connectors", "connector status", "restart connector"],
+    },
+    "kafka": {
+        "label": "Kafka Bus",
+        "vm": "atc-kafka01",
+        "vmid": 113,
+        "pve": "pve01",
+        "ip": "10.0.21.36",
+        "ssh": "ssh root@10.0.21.36",
+        "role": "bus",
+        "color": "#4c9aed",
+        "description": "Central event bus. CDC topics flow from Debezium to s3-kafka-consumer and Spark on the lakehouse.",
+        "links": [{"label": "Kafka UI", "url": "http://10.0.21.36:9000"}],
+        "endpoints": [
+            {"name": "broker", "host": "10.0.21.36", "port": "9092", "proto": "tcp"},
+            {"name": "kafka-ui", "host": "10.0.21.36", "port": "9000", "proto": "http"},
+        ],
+        "commands": ["broker health", "list topics", "consumer lag"],
+    },
+    "lakehouse": {
+        "label": "Lakehouse Hub",
+        "vm": "atc-lake01",
+        "vmid": 108,
+        "pve": "pve01",
+        "ip": "10.0.21.50",
+        "role": "compute",
+        "color": "#e05297",
+        "description": "Spark + Trino + s3-kafka-consumer. Trino federates queries across DB catalogs and Iceberg on ObjectScale S3.",
+        "links": [
+            {"label": "Trino", "url": "http://10.0.21.50:8089"},
+            {"label": "Spark UI", "url": "http://10.0.21.50:8080"},
+            {"label": "Kafka Connect", "url": "http://10.0.21.50:8083"},
+        ],
+        "endpoints": [
+            {"name": "trino", "host": "10.0.21.50", "port": "8089", "proto": "http"},
+            {"name": "spark-master", "host": "10.0.21.50", "port": "8080", "proto": "http"},
+            {"name": "spark-submit", "host": "10.0.21.50", "port": "7077", "proto": "tcp"},
+        ],
+        "commands": ["trino status", "spark workers", "s3 consumer logs"],
+    },
+    "s3": {
+        "label": "ObjectScale S3",
+        "vm": "atc-objectscale",
+        "vmid": 100,
+        "pve": "pve01",
+        "ip": "10.0.20.111",
+        "ssh": "ssh root@10.0.20.111",
+        "role": "storage",
+        "color": "#d4a017",
+        "description": "Dell ObjectScale S3-compatible storage. Landing zone for s3-kafka-consumer and Trino Iceberg catalog (bucket: data).",
+        "links": [{"label": "S3 API", "url": "http://10.0.20.111:9020"}],
+        "endpoints": [{"name": "s3-api", "host": "10.0.20.111", "port": "9020", "proto": "http"}],
+        "bucket": "data",
+        "commands": ["bucket status", "consumer write rate", "iceberg catalog"],
+    },
+    "docker": {
+        "label": "Docker Rack",
+        "vm": "atc-docker01",
+        "vmid": 115,
+        "pve": "pve01",
+        "ip": "10.0.21.45",
+        "ssh": "ssh root@10.0.21.45",
+        "role": "infra",
+        "color": "#9b72cf",
+        "description": "Platform services — Homepage, Dockhand, Superset, Forgejo, Gitea proxy and monitoring stack.",
+        "links": [
+            {"label": "Homepage", "url": "http://10.0.21.45"},
+            {"label": "Dockhand", "url": "http://10.0.21.45:8082"},
+            {"label": "Superset", "url": "http://10.0.21.45:8088"},
+        ],
+        "endpoints": [{"name": "dockhand", "host": "10.0.21.45", "port": "8082", "proto": "http"}],
+        "commands": ["container list", "restart service", "resource usage"],
+    },
+    "hadoop": {
+        "label": "Hadoop HDFS",
+        "vm": "atc-hadoop-m01",
+        "vmid": 210,
+        "pve": "pve02",
+        "ip": "10.0.21.61",
+        "ssh": "ssh root@10.0.21.61",
+        "role": "parallel",
+        "color": "#3fb950",
+        "description": "9-node HDFS cluster (3 masters + 5 datanodes + edge). Parallel storage layer — separate from CDC→S3 pipeline.",
+        "links": [{"label": "NameNode UI", "url": "http://10.0.21.61:9870"}],
+        "endpoints": [
+            {"name": "namenode", "host": "10.0.21.61", "port": "9870", "proto": "http"},
+            {"name": "datanodes", "host": "10.0.21.65-69", "port": "9866", "proto": "http"},
+        ],
+        "commands": ["hdfs dfsadmin -report", "datanode status", "block health"],
+    },
+    "gpu": {
+        "label": "GPU Lab",
+        "vm": "atc-gpu-dev",
+        "vmid": 303,
+        "pve": "atc-gpu",
+        "ip": "10.0.20.106",
+        "ssh": "ssh root@10.0.20.106",
+        "role": "inference",
+        "color": "#3fb950",
+        "description": "4× V100 GPU lab. vLLM serves the active model (Llama 3 70B GPTQ) — powers agent reasoning in this Command Center.",
+        "links": [
+            {"label": "GPU Lab UI", "url": "http://10.0.20.106:9000"},
+            {"label": "vLLM API", "url": "http://10.0.20.106:8001/v1"},
+        ],
+        "endpoints": [
+            {"name": "gpu-lab", "host": "10.0.20.106", "port": "9000", "proto": "http"},
+            {"name": "vllm", "host": "10.0.20.106", "port": "8001", "proto": "http"},
+        ],
+        "commands": ["gpu metrics", "model status", "vram usage"],
+    },
+    "command": {
+        "label": "Command Center",
+        "vm": "MCP · VM304",
+        "vmid": 304,
+        "pve": "atc-gpu",
+        "ip": "10.0.21.33",
+        "ssh": "ssh root@10.0.21.33",
+        "role": "hub",
+        "color": "#4c9aed",
+        "description": "ATC Command Center — FastAPI + React + Redis + Postgres + Caddy. Agent hub & approval inbox.",
+        "links": [
+            {"label": "Dashboard", "url": "http://10.0.21.33/"},
+            {"label": "Dockhand env 13", "url": "http://10.0.21.45:8082"},
+        ],
+        "endpoints": [{"name": "api", "host": "10.0.21.33", "port": "80", "proto": "http"}],
+        "commands": ["agent status", "cluster snapshot", "dispatch mission"],
+    },
+    "mo-commander": {
+        "label": "Mo · Command",
+        "vm": "Supervisor Desk",
+        "vmid": 304,
+        "pve": "atc-gpu",
+        "ip": "10.0.21.33",
+        "role": "supervisor",
+        "color": "#4c9aed",
+        "description": "Mo's command desk — receives ALL lab events, agent dispatch, ingress traffic, approvals.",
+        "links": [{"label": "Command Center", "url": "http://10.0.21.33/"}],
+        "endpoints": [{"name": "intel-feed", "host": "10.0.21.33", "port": "80", "proto": "ws"}],
+        "commands": ["events today", "ingress log", "agent status"],
+    },
+    "bart-commander": {
+        "label": "Bart · Ops",
+        "vm": "Supervisor Desk",
+        "vmid": 304,
+        "pve": "atc-gpu",
+        "ip": "10.0.21.33",
+        "role": "supervisor",
+        "color": "#3fb950",
+        "description": "Bart's ops desk — egress monitoring, MCP agent comms, S3 writes, GPU inference output.",
+        "links": [{"label": "Command Center", "url": "http://10.0.21.33/"}],
+        "endpoints": [{"name": "egress-feed", "host": "10.0.21.33", "port": "80", "proto": "ws"}],
+        "commands": ["egress log", "mcp comms", "s3 write rate"],
+    },
+    "network-watcher": {
+        "label": "Network Watcher",
+        "vm": "multi-VLAN",
+        "ip": "10.0.20/21.x",
+        "role": "network",
+        "color": "#58a6ff",
+        "description": "Monitors VLAN 20 (storage/GPU) and VLAN 21 (compute) — data ingress and egress paths.",
+        "links": [],
+        "endpoints": [
+            {"name": "vlan20", "host": "10.0.20.0/24", "port": "-", "proto": "net"},
+            {"name": "vlan21", "host": "10.0.21.0/24", "port": "-", "proto": "net"},
+        ],
+        "commands": ["ingress paths", "egress paths", "vlan status"],
+    },
+    "mcp-coordinator": {
+        "label": "MCP Coordinator",
+        "vm": "VM304",
+        "ip": "10.0.21.33",
+        "role": "mcp",
+        "color": "#f778ba",
+        "description": "Routes all MCP agent tool calls. Relays comms between operational agents and supervisor desks.",
+        "links": [{"label": "API", "url": "http://10.0.21.33/api"}],
+        "endpoints": [{"name": "mcp-hub", "host": "10.0.21.33", "port": "3101-3112", "proto": "http"}],
+        "commands": ["agent routes", "mcp status", "relay log"],
+    },
+}
+
+
+NODE_AGENT.update({
+    "mo-commander": "mo-commander",
+    "bart-commander": "bart-commander",
+    "network-watcher": "network-watcher",
+    "mcp-coordinator": "mcp-coordinator",
+    "etl-guardian": "etl-guardian",
+    "lakehouse-ops": "lakehouse-ops",
+    "data-custodian": "data-custodian",
+    "hadoop-ranger": "hadoop-ranger",
+    "infra-sentinel": "infra-sentinel",
+})
+
+
+def is_node_id(subject_id: str) -> bool:
+    return subject_id in NODE_REGISTRY

api/presentation.py

@@ -0,0 +1,292 @@
+"""Build live presentation deck from cluster snapshot + registry."""
+
+from __future__ import annotations
+
+import json
+from typing import Any
+
+from node_registry import NODE_REGISTRY
+from topology_views import build_all_topologies
+from workload import build_workload_payload
+
+
+def _status_badge(level: str) -> str:
+    return {"ok": "● Online", "warn": "◐ Degraded", "down": "○ Offline", "unknown": "? Unknown"}.get(level, level)
+
+
+def _slide(slide_id: str, title: str, subtitle: str, bullets: list[str], **extra: Any) -> dict[str, Any]:
+    return {"id": slide_id, "title": title, "subtitle": subtitle, "bullets": bullets, **extra}
+
+
+def build_presentation_payload(snap: dict[str, Any]) -> dict[str, Any]:
+    workload = build_workload_payload(snap)
+    topologies = workload.get("topologies") or build_all_topologies(snap)
+    totals = workload.get("totals", {})
+    zones = workload.get("zones", [])
+    gpu = workload.get("gpu", {})
+    etl = snap.get("etl", {})
+    hadoop = snap.get("hadoop", {})
+    objectscale = snap.get("objectscale", {})
+    command = snap.get("command_center", {})
+
+    slides: list[dict[str, Any]] = []
+
+    slides.append(_slide(
+        "title",
+        "Dell ATC Data Lab",
+        "Live demo & presentation — Command Center",
+        [
+            f"Snapshot: {snap.get('ts', 'now')}",
+            f"Pipeline: {'ACTIVE' if totals.get('pipeline_active') else 'INACTIVE'}",
+            f"Apps running: {totals.get('apps_running', 0)}/{totals.get('apps_total', 0)}",
+            f"CDC connectors: {totals.get('connectors', 0)}",
+            f"LLM: {gpu.get('model') or 'offline'} ({gpu.get('gpu_count', 0)}× V100)",
+            "Command Center → http://10.0.21.33/",
+        ],
+        kind="hero",
+    ))
+
+    slides.append(_slide(
+        "mission",
+        "Mission",
+        "End-to-end modern data platform on Dell infrastructure",
+        [
+            "Ingest change data from operational databases (PostgreSQL, MySQL, MongoDB, Cassandra)",
+            "Stream via Kafka & Debezium into the lakehouse (Spark, Trino, Iceberg)",
+            "Land curated data on ObjectScale S3 — query with Trino & visualize in Superset",
+            "Parallel HDFS cluster for batch / legacy workloads",
+            "GPU lab powers autonomous ops agents with local vLLM inference",
+            "This dashboard orchestrates agents, approvals, and live cluster visibility",
+        ],
+        kind="narrative",
+    ))
+
+    arch = topologies.get("architecture") or workload.get("topology") or {}
+    arch_nodes = arch.get("nodes", [])
+    slides.append(_slide(
+        "architecture",
+        "Data Platform Architecture",
+        arch.get("subtitle", "Sources → Ingestion → Compute → Storage → Consumers"),
+        [f"{n.get('label', n.get('id'))}: {n.get('subtitle', n.get('role', ''))}" for n in arch_nodes[:14]],
+        kind="topology",
+        topology=arch,
+    ))
+
+    pipeline = topologies.get("pipeline", {})
+    connector_lines = [
+        f"  · {cs['name']}: {cs.get('state', '?')}"
+        for cs in (etl.get("connector_status") or [])[:6]
+    ]
+    slides.append(_slide(
+        "pipeline",
+        "CDC Pipeline",
+        pipeline.get("subtitle", "Airflow → DB → Debezium → Kafka → Lakehouse → S3"),
+        [
+            f"Airflow: {'healthy' if etl.get('airflow_healthy') else 'degraded'} ({etl.get('airflow_url', '')})",
+            f"Kafka UI: {'UP' if etl.get('kafka_ui_ok') else 'DOWN'}",
+            f"Connectors: {', '.join(etl.get('connectors') or []) or 'none'}",
+            *connector_lines,
+            f"Spark UI: {'UP' if etl.get('spark_ui_ok') else 'DOWN'}",
+            f"ObjectScale: {'reachable' if objectscale.get('reachable') else 'down'} bucket={objectscale.get('bucket', 'data')}",
+        ],
+        kind="topology",
+        topology=pipeline,
+    ))
+
+    for zone in zones:
+        apps = zone.get("apps") or []
+        app_lines = [
+            f"{a['name']}: {a['state']}" + (f" ({a.get('host', '')})" if a.get("host") else "")
+            for a in apps[:10]
+        ]
+        slides.append(_slide(
+            f"zone-{zone['id']}",
+            zone["label"],
+            f"{zone.get('vm', '')} · {zone.get('ip', '')} · {_status_badge(zone.get('level', 'unknown'))}",
+            [
+                f"Containers: {zone.get('running', 0)}/{zone.get('total', 0)} running",
+                *app_lines,
+            ],
+            kind="zone",
+            zone=zone,
+        ))
+
+    infra_nodes = [
+        nid for nid in NODE_REGISTRY
+        if nid not in ("mo-commander", "bart-commander", "network-watcher", "mcp-coordinator")
+    ]
+    slides.append(_slide(
+        "infrastructure",
+        "Infrastructure Map",
+        "Proxmox VMs & services across VLAN 20/21",
+        [
+            f"{NODE_REGISTRY[nid]['label']} — {NODE_REGISTRY[nid].get('vm')} "
+            f"(VMID {NODE_REGISTRY[nid].get('vmid', '?')}) @ {NODE_REGISTRY[nid].get('ip')}"
+            for nid in infra_nodes
+        ],
+        kind="registry",
+    ))
+
+    dn_lines = [
+        f"  · {dn['host']}: {dn.get('used_gb', 0)} GB — {dn.get('state', '')}"
+        for dn in (hadoop.get("datanodes") or [])[:5]
+    ]
+    slides.append(_slide(
+        "hadoop",
+        "Hadoop HDFS",
+        "9-node parallel storage cluster",
+        [
+            f"NameNode: {'UP' if hadoop.get('reachable') else 'DOWN'} — {hadoop.get('namenode', '')}",
+            f"Capacity: {hadoop.get('capacity_used_gb', '?')} / {hadoop.get('capacity_total_gb', '?')} GB",
+            f"DataNodes: {hadoop.get('live_datanodes', 0)} live, {hadoop.get('dead_datanodes', 0)} dead",
+            f"Files: {hadoop.get('files_total', 0)}, Blocks: {hadoop.get('blocks_total', 0)}",
+            *dn_lines,
+        ],
+        kind="data",
+    ))
+
+    gpus = gpu.get("gpus") or snap.get("gpu", {}).get("gpus") or []
+    gpu_lines = [
+        f"GPU{g['index']}: {g.get('util_gpu', 0):.0f}% util, "
+        f"{g.get('memory_used_mib', 0):.0f}/{g.get('memory_total_mib', 0):.0f} MiB"
+        for g in gpus[:4]
+    ]
+    slides.append(_slide(
+        "gpu",
+        "GPU Lab & GenAI",
+        f"{gpu.get('model') or 'vLLM'} on atc-gpu-dev (VM 303)",
+        [
+            f"Inference: {'ON' if gpu.get('inference_active') else 'OFF'}",
+            f"API: {snap.get('gpu', {}).get('vllm_url') or 'http://10.0.20.106:8001/v1'}",
+            "Manager: http://10.0.20.106:9000",
+            *gpu_lines,
+        ],
+        kind="gpu",
+    ))
+
+    slides.append(_slide(
+        "agents",
+        "Autonomous Agents",
+        "Mo & Bart supervise 5 domain operators + MCP hub",
+        [
+            "ETL Guardian — Airflow, Kafka, Debezium, connectors",
+            "Data Custodian — PostgreSQL, MySQL, MongoDB, Cassandra, Neo4j",
+            "Lakehouse Ops — Spark, Trino, Iceberg, ObjectScale S3",
+            "Hadoop Ranger — HDFS NameNode, DataNodes, block health",
+            "Infra Sentinel — Docker rack, GPU lab, Command Center",
+            "All agents receive LIVE cluster snapshot in every LLM prompt",
+        ],
+        kind="agents",
+    ))
+
+    cc_apps = [f"{c['name']}: {c['state']}" for c in (command.get("containers") or [])]
+    slides.append(_slide(
+        "command",
+        "Command Center",
+        "VM 304 — this presentation runs here",
+        [
+            f"Host: {command.get('host', '10.0.21.33')} (VMID {command.get('vmid', 304)})",
+            f"Stack: {command.get('running', 0)}/{command.get('total', 0)} containers",
+            *cc_apps,
+            "WebSocket ops feed · Approval inbox · Agent terminals",
+        ],
+        kind="command",
+    ))
+
+    slides.append(_slide(
+        "demo",
+        "Live Demo Tips",
+        "Use this deck during customer presentations",
+        [
+            "Press ← → or click dots to navigate slides",
+            "F = fullscreen presentation mode",
+            "Export HTML opens a standalone deck for projectors / offline",
+            "Ask agents in the Command Bar — they see full cluster context",
+            "Switch to Data Platform tab for interactive topology",
+            "GPU Lab chat: http://10.0.20.106:9000/chat",
+        ],
+        kind="cta",
+    ))
+
+    return {
+        "ts": snap.get("ts"),
+        "title": "Dell ATC Data Lab",
+        "subtitle": "Live Infrastructure Presentation",
+        "totals": totals,
+        "pipeline_active": totals.get("pipeline_active"),
+        "slides": slides,
+        "slide_count": len(slides),
+        "workload": workload,
+        "topologies": topologies,
+    }
+
+
+def render_presentation_html(payload: dict[str, Any]) -> str:
+    slides_json = json.dumps(payload.get("slides", []), default=str)
+    title = payload.get("title", "ATC Lab")
+    ts = payload.get("ts", "")
+    return f"""<!DOCTYPE html>
+<html lang="en">
+<head>
+<meta charset="utf-8"/>
+<meta name="viewport" content="width=device-width, initial-scale=1"/>
+<title>{title} — Presentation</title>
+<style>
+*{{box-sizing:border-box;margin:0;padding:0}}
+body{{font-family:system-ui,-apple-system,Segoe UI,sans-serif;background:#0c1929;color:#e8f1ff;height:100vh;overflow:hidden}}
+.deck{{height:100vh;display:flex;flex-direction:column}}
+header{{padding:1rem 2rem;display:flex;justify-content:space-between;align-items:center;border-bottom:1px solid rgba(96,165,250,.2);background:rgba(15,27,46,.9)}}
+header h1{{font-size:1.1rem;font-weight:600}}
+header .meta{{font-size:.75rem;opacity:.7}}
+.slide{{flex:1;display:none;padding:3rem 4rem;overflow:auto}}
+.slide.active{{display:flex;flex-direction:column;justify-content:center}}
+.slide h2{{font-size:2.4rem;margin-bottom:.5rem;background:linear-gradient(90deg,#60a5fa,#a78bfa);-webkit-background-clip:text;-webkit-text-fill-color:transparent}}
+.slide h3{{font-size:1rem;opacity:.75;margin-bottom:2rem;font-weight:400}}
+.slide ul{{list-style:none;font-size:1.15rem;line-height:1.9}}
+.slide li::before{{content:"▸ ";color:#60a5fa}}
+.slide.hero h2{{font-size:3.2rem}}
+nav{{display:flex;gap:.5rem;padding:1rem 2rem;border-top:1px solid rgba(96,165,250,.2);align-items:center}}
+nav button{{background:#1e3a5f;border:1px solid rgba(96,165,250,.3);color:#e8f1ff;padding:.5rem 1rem;border-radius:6px;cursor:pointer}}
+nav button:hover{{background:#234876}}
+.dots{{display:flex;gap:6px;flex:1;justify-content:center;flex-wrap:wrap}}
+.dot{{width:8px;height:8px;border-radius:50%;background:rgba(96,165,250,.3);cursor:pointer;border:none}}
+.dot.active{{background:#60a5fa;transform:scale(1.3)}}
+.counter{{font-size:.8rem;opacity:.6;min-width:4rem;text-align:right}}
+</style>
+</head>
+<body>
+<div class="deck">
+<header><h1>{title}</h1><div class="meta">Dell ATC · Live snapshot {ts}</div></header>
+<div id="slides"></div>
+<nav>
+<button id="prev">← Prev</button>
+<div class="dots" id="dots"></div>
+<button id="next">Next →</button>
+<span class="counter" id="counter"></span>
+</nav>
+</div>
+<script>
+const slides={slides_json};
+let i=0;
+const container=document.getElementById("slides");
+const dots=document.getElementById("dots");
+const counter=document.getElementById("counter");
+slides.forEach((s,idx)=>{{
+  const el=document.createElement("section");
+  el.className="slide"+(s.kind==="hero"?" hero":"")+(idx===0?" active":"");
+  const bullets=(s.bullets||[]).map(b=>"<li>"+b+"</li>").join("");
+  el.innerHTML="<h2>"+s.title+"</h2><h3>"+(s.subtitle||"")+"</h3><ul>"+bullets+"</ul>";
+  container.appendChild(el);
+  const d=document.createElement("button");
+  d.className="dot"+(idx===0?" active":"");
+  d.onclick=()=>go(idx);
+  dots.appendChild(d);
+}});
+function go(n){{i=Math.max(0,Math.min(slides.length-1,n));document.querySelectorAll(".slide").forEach((e,j)=>e.classList.toggle("active",j===i));document.querySelectorAll(".dot").forEach((e,j)=>e.classList.toggle("active",j===i));counter.textContent=(i+1)+"/"+slides.length;}}
+document.getElementById("prev").onclick=()=>go(i-1);
+document.getElementById("next").onclick=()=>go(i+1);
+document.onkeydown=e=>{{if(e.key==="ArrowRight"||e.key===" ")go(i+1);if(e.key==="ArrowLeft")go(i-1);if(e.key==="f"||e.key==="F")document.documentElement.requestFullscreen?.();}};
+go(0);
+</script>
+</body>
+</html>"""

api/presentation_static.py

@@ -0,0 +1,203 @@
+"""Pre-built modern HTML presentation templates — English."""
+
+from __future__ import annotations
+
+from typing import Any
+
+MODERN_DECKS: dict[str, dict[str, Any]] = {
+    "data-maturity": {
+        "id": "data-maturity",
+        "title": "Data Maturity Assessment",
+        "subtitle": "Dell ATC — Customer Data Onboarding Framework",
+        "slides": [
+            {
+                "id": "dm-1", "kind": "hero",
+                "title": "Data Maturity Assessment",
+                "subtitle": "From raw data to trusted decisions",
+                "bullets": [
+                    "6 dimensions: Completeness, Consistency, Validity, Uniqueness, Timeliness, Accuracy",
+                    "Automated analysis with Docling, Great Expectations & Soda Core",
+                    "Full report with priorities and remediation roadmap",
+                ],
+            },
+            {
+                "id": "dm-2", "kind": "narrative",
+                "title": "Why maturity?",
+                "subtitle": "Customers hand over data — we show where it stands",
+                "bullets": [
+                    "73% of analytics projects fail due to data quality (Gartner)",
+                    "Without a baseline there is no measurable improvement",
+                    "DQ tools + document parsing = complete picture",
+                    "Report ready for boardroom & audit",
+                ],
+            },
+            {
+                "id": "dm-3", "kind": "zone",
+                "title": "Our toolchain",
+                "subtitle": "Integrated on the ATC platform",
+                "bullets": [
+                    "Docling — PDF, PPTX, DOCX, XLSX → structured data",
+                    "Great Expectations — Python expectations & data contracts",
+                    "Soda Core — YAML checks, freshness, anomaly monitoring",
+                    "DQ API — maturity score + HTML report",
+                ],
+            },
+            {
+                "id": "dm-4", "kind": "cta",
+                "title": "Next step",
+                "subtitle": "Upload customer data in Data Quality tab",
+                "bullets": [
+                    "Upload CSV, Excel, PDF or database export",
+                    "Receive maturity score (0–100) per dimension",
+                    "Action list: what to fix first",
+                    "Reports are stored — no need to re-upload",
+                ],
+            },
+        ],
+    },
+    "atc-platform": {
+        "id": "atc-platform",
+        "title": "ATC Data Platform",
+        "subtitle": "Modern lakehouse on Dell infrastructure",
+        "slides": [
+            {
+                "id": "atc-1", "kind": "hero",
+                "title": "ATC Data & AI Platform",
+                "subtitle": "CDC → Kafka → Spark → Iceberg → Trino",
+                "bullets": [
+                    "Live pipeline: PostgreSQL, MySQL, MongoDB, Cassandra",
+                    "ObjectScale S3 + 9-node Hadoop cluster",
+                    "GPU Lab: Llama 3 70B for autonomous agents",
+                ],
+            },
+            {
+                "id": "atc-2", "kind": "topology",
+                "title": "End-to-end flow",
+                "subtitle": "Sources → Ingestion → Compute → Storage → Consumers",
+                "bullets": [
+                    "Airflow orchestrates daily data generation",
+                    "Debezium CDC → Kafka → Spark → Iceberg",
+                    "Trino federated queries + Superset BI",
+                    "GenAI agents with full cluster context",
+                ],
+            },
+        ],
+    },
+    "stack-architecture": {
+        "id": "stack-architecture",
+        "title": "ATC Stack Architecture",
+        "subtitle": "How the Command Center, DQ, RAG & Lakehouse fit together",
+        "slides": [
+            {
+                "id": "arch-1", "kind": "hero",
+                "title": "ATC Intelligent Data Platform",
+                "subtitle": "One dashboard — ingest, assess, chat, present",
+                "bullets": [
+                    "Command Center at http://10.0.21.33 — single entry point",
+                    "Upload once → stored permanently in ChromaDB + file registry",
+                    "Ask questions anytime via Knowledge Chat (RAG + LangChain)",
+                    "Present architecture & maturity to customers live",
+                ],
+            },
+            {
+                "id": "arch-2", "kind": "architecture", "animation": "full-stack",
+                "title": "Full Stack Overview",
+                "subtitle": "All services on VM304 (Command Center)",
+                "bullets": [
+                    "Caddy routes /api, /dq, /rag to backend services",
+                    "React UI — Data Platform, Presentation, Data Quality, Knowledge Chat",
+                    "Docling on port 5001 for document parsing UI + API",
+                    "Postgres + Redis for agents; ChromaDB for vectors",
+                ],
+            },
+            {
+                "id": "arch-3", "kind": "architecture", "animation": "lakehouse",
+                "title": "Lakehouse Pipeline",
+                "subtitle": "Operational data → analytics-ready tables",
+                "bullets": [
+                    "Sources on DB Vault (10.0.21.51): PG, MySQL, Mongo, Cassandra, Neo4j",
+                    "Debezium captures changes → Kafka topics",
+                    "Spark transforms → Iceberg tables on ObjectScale",
+                    "Trino SQL + Superset dashboards for consumers",
+                ],
+            },
+            {
+                "id": "arch-4", "kind": "architecture", "animation": "dq-flow",
+                "title": "Data Quality & Maturity",
+                "subtitle": "Prove data readiness before AI/ML projects",
+                "bullets": [
+                    "Upload customer file → parsed by Docling if PDF/Office",
+                    "6 maturity dimensions scored 0–100 with findings",
+                    "GE + Soda checks per column — expandable in UI",
+                    "HTML report + image gallery — stored in /data/reports",
+                ],
+            },
+            {
+                "id": "arch-5", "kind": "architecture", "animation": "rag-flow",
+                "title": "Knowledge Chat (RAG)",
+                "subtitle": "Upload once — query forever",
+                "bullets": [
+                    "Document saved to disk + indexed in ChromaDB (persistent volume)",
+                    "Duplicate uploads skipped automatically (SHA-256 hash)",
+                    "LangChain retrieves top-k chunks → Llama 70B on GPU Lab",
+                    "Answers include source filename + chunk preview",
+                ],
+            },
+            {
+                "id": "arch-6", "kind": "narrative",
+                "title": "AI Agents Layer",
+                "subtitle": "Autonomous ops with full lab context",
+                "bullets": [
+                    "Supervisor + field operators on Command Center",
+                    "Each agent sees live workload, GPU, databases, topology",
+                    "LLM: Llama 3 70B GPTQ via vLLM (10.0.20.106:8001)",
+                    "Approval workflow for sensitive operations",
+                ],
+            },
+            {
+                "id": "arch-7", "kind": "zone",
+                "title": "Infrastructure Map",
+                "subtitle": "Dell ATC cluster — key IPs",
+                "bullets": [
+                    "Command Center VM304: 10.0.21.33 (this dashboard)",
+                    "GPU Lab VM303: 10.0.20.106 — 7× V100, vLLM, model manager",
+                    "DB Vault: 10.0.21.51 · Lakehouse: 10.0.21.50",
+                    "Docling UI: http://10.0.21.33:5001/ui/",
+                ],
+            },
+            {
+                "id": "arch-8", "kind": "cta",
+                "title": "Customer Demo Flow",
+                "subtitle": "Recommended narrative for presentations",
+                "bullets": [
+                    "1. Show live Data Platform topology & agent fleet",
+                    "2. Upload customer sample → Data Quality maturity report",
+                    "3. Same file already in Knowledge Chat — ask questions live",
+                    "4. Export this architecture deck as HTML for customer handout",
+                ],
+            },
+        ],
+    },
+}
+
+
+def list_static_decks() -> list[dict[str, Any]]:
+    return [
+        {"id": k, "title": v["title"], "subtitle": v["subtitle"], "slide_count": len(v["slides"]), "source": "builtin"}
+        for k, v in MODERN_DECKS.items()
+    ]
+
+
+def get_static_deck(deck_id: str) -> dict[str, Any] | None:
+    deck = MODERN_DECKS.get(deck_id)
+    if not deck:
+        return None
+    return {
+        "ts": None,
+        "title": deck["title"],
+        "subtitle": deck["subtitle"],
+        "slides": deck["slides"],
+        "slide_count": len(deck["slides"]),
+        "source": "builtin",
+        "id": deck_id,
+    }

api/presentation_upload.py

@@ -0,0 +1,165 @@
+"""Upload PPT/PPTX decks and convert to presentation JSON + HTML."""
+
+from __future__ import annotations
+
+import json
+import os
+import re
+import uuid
+from datetime import datetime, timezone
+from pathlib import Path
+from typing import Any
+
+import httpx
+
+PRESENTATIONS_DIR = Path(os.getenv("PRESENTATIONS_DIR", "/data/presentations"))
+DOCLING_URL = os.getenv("DOCLING_URL", "http://docling-serve:5001").rstrip("/")
+
+
+def _ensure_dir() -> Path:
+    PRESENTATIONS_DIR.mkdir(parents=True, exist_ok=True)
+    return PRESENTATIONS_DIR
+
+
+def list_decks() -> list[dict[str, Any]]:
+    _ensure_dir()
+    decks = []
+    for meta_path in sorted(PRESENTATIONS_DIR.glob("*/meta.json"), key=lambda p: p.stat().st_mtime, reverse=True):
+        try:
+            meta = json.loads(meta_path.read_text())
+            decks.append(meta)
+        except Exception:
+            continue
+    return decks
+
+
+def _safe_name(name: str) -> str:
+    return re.sub(r"[^a-zA-Z0-9._-]+", "_", name)[:80]
+
+
+def pptx_to_slides(path: Path) -> list[dict[str, Any]]:
+    from pptx import Presentation
+    from pptx.enum.shapes import MSO_SHAPE_TYPE
+
+    prs = Presentation(str(path))
+    slides: list[dict[str, Any]] = []
+    for idx, slide in enumerate(prs.slides, start=1):
+        bullets: list[str] = []
+        title = ""
+        for shape in slide.shapes:
+            if not hasattr(shape, "text"):
+                continue
+            text = (shape.text or "").strip()
+            if not text:
+                continue
+            if shape.shape_type == MSO_SHAPE_TYPE.PLACEHOLDER and not title:
+                title = text.split("\n")[0][:120]
+            else:
+                for line in text.split("\n"):
+                    line = line.strip()
+                    if line and line != title:
+                        bullets.append(line[:240])
+        if not title:
+            title = f"Slide {idx}"
+        slides.append({
+            "id": f"upload-{idx}",
+            "title": title,
+            "subtitle": "",
+            "bullets": bullets[:12] or ["(empty slide)"],
+            "kind": "upload",
+        })
+    return slides
+
+
+async def docling_enrich(path: Path) -> list[dict[str, Any]] | None:
+    """Optional: parse via Docling for richer structure."""
+    try:
+        async with httpx.AsyncClient(timeout=120.0) as client:
+            with path.open("rb") as f:
+                r = await client.post(
+                    f"{DOCLING_URL}/v1/convert/file",
+                    files={"files": (path.name, f, "application/octet-stream")},
+                    data={"to_formats": "md"},
+                )
+            if r.status_code >= 400:
+                return None
+            data = r.json()
+            md = ""
+            if isinstance(data, dict):
+                doc = data.get("document") or data.get("result") or data
+                if isinstance(doc, dict):
+                    md = doc.get("md_content") or doc.get("markdown") or ""
+                elif isinstance(doc, str):
+                    md = doc
+            if not md:
+                return None
+            slides = []
+            chunks = [c.strip() for c in re.split(r"\n#{1,2}\s+", md) if c.strip()]
+            for i, chunk in enumerate(chunks[:40], start=1):
+                lines = [ln.strip() for ln in chunk.split("\n") if ln.strip()]
+                title = lines[0][:120] if lines else f"Slide {i}"
+                bullets = [ln.lstrip("-•* ").strip() for ln in lines[1:13] if ln.strip()]
+                slides.append({
+                    "id": f"docling-{i}",
+                    "title": title,
+                    "subtitle": "Docling parsed",
+                    "bullets": bullets or ["—"],
+                    "kind": "upload",
+                })
+            return slides if slides else None
+    except Exception:
+        return None
+
+
+async def save_upload(filename: str, content: bytes) -> dict[str, Any]:
+    _ensure_dir()
+    deck_id = str(uuid.uuid4())[:8]
+    deck_dir = PRESENTATIONS_DIR / deck_id
+    deck_dir.mkdir(parents=True, exist_ok=True)
+    safe = _safe_name(filename)
+    dest = deck_dir / safe
+    dest.write_bytes(content)
+
+    slides: list[dict[str, Any]] = []
+    source = "pptx"
+    if safe.lower().endswith((".pptx", ".ppt")):
+        slides = pptx_to_slides(dest)
+        docling_slides = await docling_enrich(dest)
+        if docling_slides and len(docling_slides) >= len(slides):
+            slides = docling_slides
+            source = "docling+pptx"
+    else:
+        docling_slides = await docling_enrich(dest)
+        if docling_slides:
+            slides = docling_slides
+            source = "docling"
+
+    if not slides:
+        slides = [{
+            "id": "upload-1",
+            "title": safe,
+            "subtitle": "Uploaded file",
+            "bullets": [f"File stored at {dest.name}", "Could not auto-parse slides — open in editor or re-upload PPTX"],
+            "kind": "upload",
+        }]
+
+    payload = {
+        "id": deck_id,
+        "filename": safe,
+        "source": source,
+        "ts": datetime.now(timezone.utc).isoformat(),
+        "title": safe.rsplit(".", 1)[0],
+        "subtitle": "Uploaded presentation",
+        "slide_count": len(slides),
+        "slides": slides,
+    }
+    (deck_dir / "meta.json").write_text(json.dumps(payload, indent=2, default=str))
+    (deck_dir / "deck.json").write_text(json.dumps(payload, default=str))
+    return payload
+
+
+def get_deck(deck_id: str) -> dict[str, Any] | None:
+    path = PRESENTATIONS_DIR / deck_id / "meta.json"
+    if not path.exists():
+        return None
+    return json.loads(path.read_text())

api/requirements.txt

@@ -4,6 +4,13 @@ redis==5.2.1
 httpx==0.28.1
 sqlalchemy==2.0.36
 aiosqlite==0.20.0
+psycopg2-binary==2.9.10
 pydantic==2.10.4
 python-multipart==0.0.20
 websockets==14.1
+pymysql==1.1.1
+pymongo==4.10.1
+cassandra-driver==3.29.2
+neo4j==5.26.0
+python-pptx==1.0.2
+boto3==1.35.99

api/storage_s3.py

@@ -0,0 +1,138 @@
+"""ObjectScale / S3 storage API for Command Center."""
+
+from __future__ import annotations
+
+import os
+from typing import Any
+
+import boto3
+from botocore.client import Config
+from botocore.exceptions import ClientError
+from fastapi import APIRouter, Query
+from fastapi.responses import JSONResponse, StreamingResponse
+
+S3_ENDPOINT = os.getenv("S3_ENDPOINT", "http://10.0.20.111:9020")
+S3_ACCESS_KEY = os.getenv("S3_ACCESS_KEY", "object_admin1")
+S3_SECRET_KEY = os.getenv("S3_SECRET_KEY", "ChangeMeChangeMeChangeMeChangeMeChangeMe")
+S3_REGION = os.getenv("S3_REGION", "us-east-1")
+
+router = APIRouter(prefix="/api/storage/s3", tags=["storage"])
+
+
+def _client():
+    return boto3.client(
+        "s3",
+        endpoint_url=S3_ENDPOINT,
+        aws_access_key_id=S3_ACCESS_KEY,
+        aws_secret_access_key=S3_SECRET_KEY,
+        region_name=S3_REGION,
+        config=Config(signature_version="s3v4", s3={"addressing_style": "path"}),
+    )
+
+
+def _human_size(n: int) -> str:
+    for unit in ("B", "KB", "MB", "GB", "TB"):
+        if n < 1024:
+            return f"{n:.0f} {unit}" if unit == "B" else f"{n:.1f} {unit}"
+        n /= 1024
+    return f"{n:.1f} PB"
+
+
+@router.get("/health")
+async def s3_health():
+    try:
+        s3 = _client()
+        buckets = s3.list_buckets()
+        names = [b["Name"] for b in buckets.get("Buckets", [])]
+        return {
+            "ok": True,
+            "endpoint": S3_ENDPOINT,
+            "buckets": len(names),
+            "bucket_names": names,
+        }
+    except Exception as exc:
+        return JSONResponse({"ok": False, "endpoint": S3_ENDPOINT, "error": str(exc)}, status_code=502)
+
+
+@router.get("/buckets")
+async def list_buckets():
+    try:
+        s3 = _client()
+        resp = s3.list_buckets()
+        items = []
+        for b in resp.get("Buckets", []):
+            name = b["Name"]
+            try:
+                loc = s3.list_objects_v2(Bucket=name, MaxKeys=1)
+                count_hint = loc.get("KeyCount", 0)
+            except ClientError:
+                count_hint = None
+            items.append({
+                "name": name,
+                "created": b.get("CreationDate", "").isoformat() if b.get("CreationDate") else None,
+                "has_objects": bool(count_hint),
+            })
+        return {"ok": True, "buckets": items, "endpoint": S3_ENDPOINT}
+    except Exception as exc:
+        return JSONResponse({"ok": False, "error": str(exc)}, status_code=502)
+
+
+@router.get("/buckets/{bucket}/objects")
+async def list_objects(
+    bucket: str,
+    prefix: str = Query("", alias="prefix"),
+    max_keys: int = Query(200, le=500),
+):
+    try:
+        s3 = _client()
+        resp = s3.list_objects_v2(Bucket=bucket, Prefix=prefix, Delimiter="/", MaxKeys=max_keys)
+        folders = [
+            {"type": "prefix", "name": p["Prefix"][len(prefix):].rstrip("/"), "prefix": p["Prefix"]}
+            for p in resp.get("CommonPrefixes", [])
+        ]
+        objects = [
+            {
+                "type": "object",
+                "key": o["Key"],
+                "name": o["Key"][len(prefix):] if o["Key"].startswith(prefix) else o["Key"],
+                "size": o.get("Size", 0),
+                "size_human": _human_size(o.get("Size", 0)),
+                "modified": o.get("LastModified", "").isoformat() if o.get("LastModified") else None,
+            }
+            for o in resp.get("Contents", [])
+            if o["Key"] != prefix
+        ]
+        return {
+            "ok": True,
+            "bucket": bucket,
+            "prefix": prefix,
+            "folders": folders,
+            "objects": objects,
+            "truncated": resp.get("IsTruncated", False),
+        }
+    except ClientError as exc:
+        return JSONResponse({"ok": False, "error": str(exc)}, status_code=403)
+    except Exception as exc:
+        return JSONResponse({"ok": False, "error": str(exc)}, status_code=502)
+
+
+@router.get("/buckets/{bucket}/download")
+async def download_object(bucket: str, key: str = Query(...)):
+    try:
+        s3 = _client()
+        obj = s3.get_object(Bucket=bucket, Key=key)
+        body = obj["Body"]
+        filename = key.split("/")[-1] or "download"
+        media = obj.get("ContentType") or "application/octet-stream"
+
+        def stream():
+            while chunk := body.read(1024 * 256):
+                yield chunk
+
+        return StreamingResponse(
+            stream(),
+            media_type=media,
+            headers={"Content-Disposition": f'attachment; filename="{filename}"'},
+        )
+    except ClientError as exc:
+        return JSONResponse({"ok": False, "error": str(exc)}, status_code=404)

api/supervisor.py

@@ -0,0 +1,34 @@
+"""Fan-out lab events to supervisor agents Mo & Bart."""
+
+from __future__ import annotations
+
+from agent_terminal import terminal_log
+from node_registry import NODE_IDS
+
+SUPERVISOR_IDS = ["mo-commander", "bart-commander"]
+OPERATOR_IDS = {
+    "etl-guardian", "lakehouse-ops", "data-custodian", "hadoop-ranger", "infra-sentinel",
+    "network-watcher", "mcp-coordinator",
+}
+
+
+async def mirror_to_supervisors(
+    source: str,
+    message: str,
+    *,
+    level: str = "info",
+    phase: str = "intel",
+) -> None:
+    icon = {"warn": "⚠", "err": "✗", "ok": "✓"}.get(level, "→")
+    text = f"{icon} [{source}] {message}"
+    for sid in SUPERVISOR_IDS:
+        await terminal_log(sid, text, level=level, phase=phase, mirror=False)
+
+
+async def mirror_terminal_line(line: dict) -> None:
+    aid = line.get("agent_id", "")
+    if aid in SUPERVISOR_IDS or aid in NODE_IDS:
+        return
+    if aid in OPERATOR_IDS:
+        lvl = line.get("level", "info")
+        await mirror_to_supervisors(aid, line.get("text", "")[:240], level=lvl, phase="trace")

api/topology_views.py

@@ -0,0 +1,606 @@
+"""Five animated topology views from data architecture perspectives."""
+
+from __future__ import annotations
+
+from typing import Any
+
+
+def _edge(eid: str, src: str, dst: str, label: str, kind: str, active: bool = True) -> dict[str, Any]:
+    return {"id": eid, "from": src, "to": dst, "label": label, "kind": kind, "active": active}
+
+
+def _clone_node(n: dict[str, Any], x: float, y: float, layer: str | None = None) -> dict[str, Any]:
+    out = {**n, "x": x, "y": y}
+    if layer:
+        out["layer"] = layer
+    return out
+
+
+def build_all_topologies(
+    base_nodes: list[dict[str, Any]],
+    base_edges: list[dict[str, Any]],
+    snap: dict[str, Any],
+    *,
+    pipeline_active: bool,
+    connectors: list[str],
+) -> dict[str, dict[str, Any]]:
+    by_id = {n["id"]: n for n in base_nodes}
+    etl = snap.get("etl", {})
+    lake = snap.get("lakehouse", {})
+    docker = snap.get("docker", {})
+    gpu = snap.get("gpu", {})
+
+    # ── 1. PIPELINE (CDC end-to-end) ──
+    pipeline = {
+        "id": "pipeline",
+        "label": "CDC Pipeline",
+        "subtitle": "Ingest → Stream → Process → Object Storage",
+        "layers": [
+            {"id": "ingest", "label": "INGEST", "y": 12, "color": "#e8a838"},
+            {"id": "stream", "label": "STREAM", "y": 12, "color": "#4c9aed"},
+            {"id": "process", "label": "PROCESS", "y": 12, "color": "#e05297"},
+            {"id": "store", "label": "STORE", "y": 12, "color": "#d4a017"},
+        ],
+        "nodes": [
+            _clone_node(by_id["airflow"], 8, 22, "ingest"),
+            _clone_node(by_id["db"], 24, 22, "ingest"),
+            _clone_node(by_id["debezium"], 40, 22, "stream"),
+            _clone_node(by_id["kafka"], 56, 22, "stream"),
+            _clone_node(by_id["lakehouse"], 72, 22, "process"),
+            _clone_node(by_id["s3"], 88, 22, "store"),
+            _clone_node(by_id["docker"], 12, 58, "infra"),
+            _clone_node(by_id["hadoop"], 50, 58, "parallel"),
+            _clone_node(by_id["gpu"], 88, 58, "compute"),
+            _clone_node(by_id["command"], 50, 82, "hub"),
+        ],
+        "edges": base_edges,
+    }
+
+    # ── 2. MEDALLION (Bronze → Silver → Gold) ──
+    medallion_nodes = [
+        _clone_node(by_id["airflow"], 12, 18, "bronze"),
+        _clone_node(by_id["db"], 30, 18, "bronze"),
+        _clone_node(by_id["debezium"], 48, 18, "bronze"),
+        _clone_node(by_id["kafka"], 20, 42, "silver"),
+        {
+            **by_id["lakehouse"],
+            "id": "spark",
+            "label": "Spark ETL",
+            "x": 42,
+            "y": 42,
+            "layer": "silver",
+            "apps": [a for a in by_id["lakehouse"].get("apps", []) if "spark" in a.get("name", "").lower()],
+        },
+        _clone_node(by_id["lakehouse"], 64, 42, "silver"),
+        _clone_node(by_id["s3"], 24, 68, "gold"),
+        {
+            **by_id.get("docker", {}),
+            "id": "superset",
+            "label": "Superset BI",
+            "x": 48,
+            "y": 68,
+            "layer": "gold",
+            "apps": [a for a in docker.get("containers", []) if "superset" in f"{a.get('name','')} {a.get('image','')}".lower()][:4]
+            or [{"name": "superset", "state": "running", "image": "superset", "ports": ["8088"]}],
+        },
+        _clone_node(by_id["hadoop"], 72, 68, "gold"),
+        _clone_node(by_id["gpu"], 88, 68, "gold"),
+    ]
+    medallion = {
+        "id": "medallion",
+        "label": "Medallion Architecture",
+        "subtitle": "Bronze (raw) → Silver (staging) → Gold (serving)",
+        "layers": [
+            {"id": "bronze", "label": "🥉 BRONZE · Raw Ingest", "y": 18, "color": "#cd7f32"},
+            {"id": "silver", "label": "🥈 SILVER · Staging & Transform", "y": 42, "color": "#c0c0c0"},
+            {"id": "gold", "label": "🥇 GOLD · Analytics & Serve", "y": 68, "color": "#d4a017"},
+        ],
+        "nodes": medallion_nodes,
+        "edges": [
+            _edge("m1", "airflow", "db", "seed", "pipeline", bool(etl.get("airflow_healthy"))),
+            _edge("m2", "db", "debezium", "CDC raw", "pipeline", bool(connectors)),
+            _edge("m3", "debezium", "kafka", "bronze topics", "pipeline", bool(connectors)),
+            _edge("m4", "kafka", "spark", "stream", "pipeline", bool(etl.get("kafka_ui_ok"))),
+            _edge("m5", "spark", "lakehouse", "transform", "pipeline", lake.get("running", 0) > 0),
+            _edge("m6", "lakehouse", "s3", "curated", "pipeline", pipeline_active),
+            _edge("m7", "s3", "superset", "BI queries", "query", True),
+            _edge("m8", "lakehouse", "hadoop", "archive", "parallel", True),
+        ],
+    }
+
+    # ── 3. NETWORK (VLAN zones, data in/out) ──
+    network = {
+        "id": "network",
+        "label": "Network Topology",
+        "subtitle": "VLAN 20 storage · VLAN 21 compute · ingress/egress",
+        "layers": [
+            {"id": "ingress", "label": "⬇ DATA IN", "y": 15, "color": "#3fb950"},
+            {"id": "compute", "label": "COMPUTE 10.0.21.x", "y": 42, "color": "#4c9aed"},
+            {"id": "storage", "label": "STORAGE 10.0.20.x", "y": 42, "color": "#d4a017"},
+            {"id": "egress", "label": "⬆ DATA OUT", "y": 70, "color": "#f778ba"},
+        ],
+        "nodes": [
+            _clone_node(by_id["airflow"], 12, 16, "ingress"),
+            _clone_node(by_id["db"], 32, 16, "ingress"),
+            _clone_node(by_id["kafka"], 18, 44, "compute"),
+            _clone_node(by_id["debezium"], 36, 44, "compute"),
+            _clone_node(by_id["lakehouse"], 54, 44, "compute"),
+            _clone_node(by_id["hadoop"], 72, 44, "compute"),
+            _clone_node(by_id["docker"], 54, 58, "compute"),
+            _clone_node(by_id["s3"], 18, 44, "storage"),
+            _clone_node(by_id["gpu"], 36, 44, "storage"),
+            {
+                **by_id["command"],
+                "id": "grafana",
+                "label": "Grafana Mon",
+                "vm": "atc-grafana",
+                "ip": "10.0.20.103",
+                "x": 72,
+                "y": 44,
+                "layer": "storage",
+                "color": "#f778ba",
+            },
+            _clone_node(by_id["s3"], 22, 72, "egress"),
+            _clone_node(by_id["gpu"], 48, 72, "egress"),
+            _clone_node(by_id["docker"], 74, 72, "egress"),
+            _clone_node(by_id["command"], 50, 88, "hub"),
+        ],
+        "edges": [
+            _edge("n-in1", "airflow", "db", "VLAN21 ingest", "pipeline", True),
+            _edge("n-in2", "db", "debezium", "CDC in", "pipeline", True),
+            _edge("n-x1", "debezium", "kafka", ":9092", "pipeline", True),
+            _edge("n-x2", "lakehouse", "s3", "→ VLAN20", "pipeline", pipeline_active),
+            _edge("n-out1", "s3", "docker", "S3 API out", "query", True),
+            _edge("n-out2", "gpu", "docker", "inference out", "query", bool(gpu.get("ok"))),
+            _edge("n-out3", "lakehouse", "grafana", "metrics", "infra", True),
+        ],
+    }
+    for n in network["nodes"]:
+        if n["id"] == "s3" and n["y"] == 44:
+            n.update({"x": 18, "y": 44})
+        if n["id"] == "gpu" and n.get("layer") == "storage":
+            n.update({"x": 36, "y": 44})
+
+    # ── 4. APPLICATIONS (all workloads by function) ──
+    all_apps: list[dict[str, Any]] = []
+    for a in by_id.get("docker", {}).get("apps", []):
+        all_apps.append(a)
+    for a in by_id.get("db", {}).get("apps", []):
+        all_apps.append(a)
+    for a in by_id.get("lakehouse", {}).get("apps", []):
+        all_apps.append(a)
+    all_apps.append({"name": "Airflow", "state": "running" if etl.get("airflow_healthy") else "down", "image": "airflow", "ports": ["8080"]})
+    all_apps.append({"name": "Kafka", "state": "running" if etl.get("kafka_ui_ok") else "down", "image": "kafka", "ports": ["9092"]})
+    for c in connectors:
+        all_apps.append({"name": c, "state": "running", "image": "connect", "ports": ["8083"]})
+
+    def _app_group(gid: str, label: str, x: float, y: float, color: str, filter_fn) -> dict:
+        apps = [a for a in all_apps if filter_fn(a)]
+        running = sum(1 for a in apps if a.get("state") == "running")
+        return {
+            "id": gid,
+            "label": label,
+            "vm": f"{len(apps)} apps",
+            "ip": "multi-host",
+            "x": x,
+            "y": y,
+            "color": color,
+            "level": "ok" if running == len(apps) and apps else "warn",
+            "role": "apps",
+            "apps": apps[:10],
+            "running": running,
+            "total": len(apps) or 1,
+            "layer": "apps",
+        }
+
+    applications = {
+        "id": "applications",
+        "label": "Application Map",
+        "subtitle": "Every container & service in the lab",
+        "layers": [
+            {"id": "ingest", "label": "INGEST", "y": 18, "color": "#e8a838"},
+            {"id": "stream", "label": "STREAM", "y": 18, "color": "#4c9aed"},
+            {"id": "process", "label": "PROCESS", "y": 42, "color": "#e05297"},
+            {"id": "store", "label": "STORE & SERVE", "y": 66, "color": "#d4a017"},
+        ],
+        "nodes": [
+            _app_group("apps-ingest", "Ingest", 12, 20, "#e8a838", lambda a: "airflow" in a.get("name", "").lower() or "airflow" in a.get("image", "").lower()),
+            _app_group("apps-sources", "Source DBs", 30, 20, "#ffaa00", lambda a: any(k in f"{a.get('name','')} {a.get('image','')}".lower() for k in ("postgres", "mysql", "mongo", "cassandra", "neo4j"))),
+            _app_group("apps-cdc", "CDC Connect", 48, 20, "#c77dff", lambda a: "connect" in a.get("image", "").lower() or "connector" in a.get("name", "").lower()),
+            _app_group("apps-stream", "Streaming", 66, 20, "#4c9aed", lambda a: "kafka" in f"{a.get('name','')} {a.get('image','')}".lower()),
+            _app_group("apps-process", "Processing", 24, 44, "#e05297", lambda a: any(k in f"{a.get('name','')} {a.get('image','')}".lower() for k in ("spark", "trino", "s3-kafka"))),
+            _app_group("apps-storage", "Storage", 48, 44, "#d4a017", lambda a: any(k in f"{a.get('name','')} {a.get('image','')}".lower() for k in ("s3", "object", "hdfs", "namenode"))),
+            _app_group("apps-platform", "Platform", 72, 44, "#9b72cf", lambda a: any(k in f"{a.get('name','')} {a.get('image','')}".lower() for k in ("dockhand", "homepage", "forgejo", "superset", "nginx", "redis", "lam"))),
+            _app_group("apps-serve", "Analytics", 36, 68, "#3fb950", lambda a: any(k in f"{a.get('name','')} {a.get('image','')}".lower() for k in ("superset", "grafana", "trino"))),
+            _app_group("apps-gpu", "AI / GPU", 60, 68, "#76b900", lambda a: any(k in f"{a.get('name','')} {a.get('image','')}".lower() for k in ("vllm", "gpu", "ollama", "sglang")) or "gpu" in a.get("name", "").lower()),
+        ],
+        "edges": [
+            _edge("a1", "apps-ingest", "apps-sources", "seed", "pipeline", True),
+            _edge("a2", "apps-sources", "apps-cdc", "CDC", "pipeline", bool(connectors)),
+            _edge("a3", "apps-cdc", "apps-stream", "topics", "pipeline", True),
+            _edge("a4", "apps-stream", "apps-process", "consume", "pipeline", True),
+            _edge("a5", "apps-process", "apps-storage", "persist", "pipeline", pipeline_active),
+            _edge("a6", "apps-storage", "apps-serve", "query", "query", True),
+            _edge("a7", "apps-platform", "apps-serve", "dashboards", "infra", True),
+        ],
+    }
+
+    # ── 5. COMMAND (Mo & Bart + all agents + MCP) ──
+    command_nodes = [
+        {
+            "id": "mo-commander",
+            "label": "Mo · Command",
+            "vm": "Supervisor",
+            "ip": "10.0.21.33",
+            "x": 28,
+            "y": 14,
+            "color": "#4c9aed",
+            "level": "ok",
+            "role": "supervisor",
+            "apps": [{"name": "event-intel", "state": "running", "image": "command", "ports": []}],
+            "running": 1,
+            "total": 1,
+            "layer": "command",
+            "description": "Full visibility — all events, network ingress, agent dispatch",
+        },
+        {
+            "id": "bart-commander",
+            "label": "Bart · Ops",
+            "vm": "Supervisor",
+            "ip": "10.0.21.33",
+            "x": 72,
+            "y": 14,
+            "color": "#3fb950",
+            "level": "ok",
+            "role": "supervisor",
+            "apps": [{"name": "network-intel", "state": "running", "image": "command", "ports": []}],
+            "running": 1,
+            "total": 1,
+            "layer": "command",
+            "description": "Full visibility — egress, MCP comms, approvals",
+        },
+        {
+            "id": "mcp-coordinator",
+            "label": "MCP Hub",
+            "vm": "VM304",
+            "ip": "10.0.21.33",
+            "x": 50,
+            "y": 32,
+            "color": "#f778ba",
+            "level": "ok",
+            "role": "mcp",
+            "apps": [{"name": "mcp-router", "state": "running", "image": "mcp", "ports": ["3101-3112"]}],
+            "running": 1,
+            "total": 1,
+            "layer": "mcp",
+        },
+        {
+            "id": "network-watcher",
+            "label": "Network Watcher",
+            "vm": "multi-VLAN",
+            "ip": "10.0.20/21.x",
+            "x": 50,
+            "y": 48,
+            "color": "#58a6ff",
+            "level": "ok",
+            "role": "network",
+            "apps": [
+                {"name": "ingress", "state": "running", "image": "net", "ports": []},
+                {"name": "egress", "state": "running", "image": "net", "ports": []},
+            ],
+            "running": 2,
+            "total": 2,
+            "layer": "network",
+        },
+    ]
+    agent_ops = [
+        ("etl-guardian", "ETL Guardian", 8, 68, "#4c9aed"),
+        ("data-custodian", "Data Custodian", 24, 68, "#e8a838"),
+        ("lakehouse-ops", "Lakehouse Ops", 40, 68, "#e05297"),
+        ("hadoop-ranger", "Hadoop Ranger", 56, 68, "#3fb950"),
+        ("infra-sentinel", "Infra Sentinel", 72, 68, "#9b72cf"),
+    ]
+    command_agent_nodes = []
+    for aid, label, x, y, color in agent_ops:
+        zone_map = {"etl-guardian": "kafka", "data-custodian": "db", "lakehouse-ops": "lakehouse", "hadoop-ranger": "hadoop", "infra-sentinel": "docker"}
+        src = by_id.get(zone_map[aid], by_id["command"])
+        command_agent_nodes.append({
+            **src,
+            "id": aid,
+            "label": label,
+            "x": x,
+            "y": y,
+            "color": color,
+            "layer": "agents",
+            "role": "mcp-agent",
+        })
+
+    command_nodes = command_nodes[:4] + command_agent_nodes + [_clone_node(by_id["gpu"], 88, 68, "agents")]
+
+    command_edges = []
+    for aid, _, _, _, _ in agent_ops:
+        command_edges.append(_edge(f"c-mo-{aid}", aid, "mo-commander", "report", "infra", True))
+        command_edges.append(_edge(f"c-bart-{aid}", aid, "bart-commander", "report", "infra", True))
+        command_edges.append(_edge(f"c-mcp-{aid}", aid, "mcp-coordinator", "MCP", "query", True))
+    command_edges += [
+        _edge("c-net-mo", "network-watcher", "mo-commander", "ingress", "pipeline", True),
+        _edge("c-net-bart", "network-watcher", "bart-commander", "egress", "pipeline", True),
+        _edge("c-mcp-mo", "mcp-coordinator", "mo-commander", "intel", "infra", True),
+        _edge("c-mcp-bart", "mcp-coordinator", "bart-commander", "intel", "infra", True),
+        _edge("c-gpu-mcp", "gpu", "mcp-coordinator", "LLM", "query", bool(gpu.get("ok"))),
+    ]
+
+    command = {
+        "id": "command",
+        "label": "Command & Control",
+        "subtitle": "Mo & Bart · MCP agents · all comms converge here",
+        "layers": [
+            {"id": "command", "label": "👤 SUPERVISORS", "y": 14, "color": "#4c9aed"},
+            {"id": "mcp", "label": "MCP HUB", "y": 32, "color": "#f778ba"},
+            {"id": "network", "label": "NETWORK", "y": 48, "color": "#58a6ff"},
+            {"id": "agents", "label": "MCP AGENTS", "y": 68, "color": "#8b949e"},
+        ],
+        "nodes": command_nodes,
+        "edges": command_edges,
+    }
+
+    return {
+        "pipeline": pipeline,
+        "medallion": medallion,
+        "network": network,
+        "applications": applications,
+        "command": command,
+        "architecture": _build_architecture(snap, by_id, connectors, pipeline_active, etl, lake, gpu, docker),
+    }
+
+
+def _arch_node(
+    nid: str,
+    label: str,
+    subtitle: str,
+    x: float,
+    y: float,
+    color: str,
+    layer: str,
+    level: str,
+    vm: str,
+    ip: str,
+    metrics: list[str],
+    apps: list[dict] | None = None,
+    running: int = 1,
+    total: int = 1,
+    icon: str = "◆",
+    extra: dict | None = None,
+) -> dict[str, Any]:
+    row: dict[str, Any] = {
+        "id": nid,
+        "label": label,
+        "subtitle": subtitle,
+        "vm": vm,
+        "ip": ip,
+        "x": x,
+        "y": y,
+        "color": color,
+        "level": level,
+        "role": layer,
+        "layer": layer,
+        "apps": apps or [],
+        "running": running,
+        "total": total,
+        "metrics": metrics,
+        "icon": icon,
+    }
+    if extra:
+        row.update(extra)
+    return row
+
+
+def _build_architecture(
+    snap: dict[str, Any],
+    by_id: dict[str, dict[str, Any]],
+    connectors: list[str],
+    pipeline_active: bool,
+    etl: dict[str, Any],
+    lake: dict[str, Any],
+    gpu: dict[str, Any],
+    docker: dict[str, Any],
+) -> dict[str, Any]:
+    """Palantir-style layered data platform (sources → consumers)."""
+    databases = snap.get("databases", {})
+    db_apps = by_id.get("db", {}).get("apps", [])
+    db_running = databases.get("running", 0)
+    db_total = max(databases.get("total", 1), 1)
+
+    def _db_node(db_id: str, label: str, subtitle: str, x: float, y: float, patterns: tuple[str, ...], icon: str) -> dict[str, Any]:
+        matched = [a for a in db_apps if any(p in f"{a.get('name','')} {a.get('image','')}".lower() for p in patterns)]
+        up = sum(1 for a in matched if a.get("state") == "running")
+        total = len(matched) or 1
+        return _arch_node(
+            db_id, label, subtitle, x, y, "#4c9aed", "sources",
+            "ok" if up == total and up else ("warn" if up else "down"),
+            "atc-db02", "10.0.21.51",
+            [f"{up}/{total} up"],
+            matched or [{"name": label, "state": "running", "image": label.lower(), "ports": []}],
+            up, total, icon,
+        )
+
+    # Horizontal columns — nodes stacked vertically per stage (no overlap)
+    C_SRC, C_CDC, C_STR, C_LAKE, C_QRY, C_CON = 11, 27, 43, 59, 75, 91
+
+    pg = _db_node("src-postgres", "PostgreSQL", "customers + orders", C_SRC, 12, ("postgres",), "🐘")
+    mysql = _db_node("src-mysql", "MySQL", "inventory + payments", C_SRC, 28, ("mysql",), "🐬")
+    mongo = _db_node("src-mongo", "MongoDB", "profiles + events", C_SRC, 44, ("mongo",), "🍃")
+    cass = _db_node("src-cassandra", "Cassandra", "time-series IoT", C_SRC, 60, ("cassandra",), "💍")
+
+    airflow_ok = bool(etl.get("airflow_healthy"))
+    airflow = _arch_node(
+        "src-airflow", "Apache Airflow", "Orchestrator", C_SRC, 76, "#e8a838", "sources",
+        "ok" if airflow_ok else "warn", "atc-airflow01", "10.0.21.55",
+        ["SLA green" if airflow_ok else "degraded"],
+        [{"name": "scheduler", "state": "running" if airflow_ok else "down", "image": "airflow", "ports": ["8080"]}],
+        int(airflow_ok), 1, "🌀",
+    )
+
+    def _cdc_node(cid: str, label: str, src: str, y: float) -> dict[str, Any]:
+        has = any(src.replace("src-", "") in c.lower() or label.split()[-1].lower() in c.lower() for c in connectors)
+        lag = "420 ms" if has else "—"
+        return _arch_node(
+            cid, f"Debezium {label}", f"CDC · {label}", C_CDC, y, "#e8a838", "cdc",
+            "ok" if has else "warn", "atc-lake01", "10.0.21.50",
+            [f"lag {lag}"],
+            [{"name": c, "state": "running", "image": "connect", "ports": ["8083"]} for c in connectors if label.lower() in c.lower()][:2]
+            or [{"name": f"debezium-{label.lower()}", "state": "running" if has else "down", "image": "connect", "ports": ["8083"]}],
+            len(connectors) if has else 0, 1, "⟿",
+        )
+
+    cdc_pg = _cdc_node("cdc-postgres", "PG", "postgres", 16)
+    cdc_mysql = _cdc_node("cdc-mysql", "MySQL", "mysql", 32)
+    cdc_mongo = _cdc_node("cdc-mongo", "Mongo", "mongo", 48)
+    cdc_cass = _cdc_node("cdc-cassandra", "Cassandra", "cassandra", 64)
+
+    kafka_ok = bool(etl.get("kafka_ui_ok"))
+    kafka = _arch_node(
+        "stream-kafka", "Apache Kafka", "KRaft · 3 brokers", C_STR, 20, "#e8a838", "streaming",
+        "ok" if kafka_ok else "warn", "atc-kafka01", "10.0.21.36",
+        [f"{len(connectors)} topics"],
+        [{"name": "broker", "state": "running" if kafka_ok else "down", "image": "kafka", "ports": ["9092"]}],
+        int(kafka_ok), 1, "📨",
+        {"connectors": connectors[:4]},
+    )
+    schema = _arch_node(
+        "stream-schema", "Schema Registry", "Avro schemas", C_STR, 44, "#e8a838", "streaming",
+        "ok" if kafka_ok else "warn", "atc-kafka01", "10.0.21.36",
+        ["compat BACKWARD"],
+        [{"name": "schema-registry", "state": "running" if kafka_ok else "down", "image": "confluent", "ports": ["8081"]}],
+        int(kafka_ok), 1, "📋",
+    )
+    spark_ok = lake.get("running", 0) > 0
+    spark = _arch_node(
+        "stream-spark", "Spark Streaming", "Dynamic executors", C_STR, 68, "#e8a838", "streaming",
+        "ok" if spark_ok else "warn", "atc-lake01", "10.0.21.50",
+        ["micro-batch 2.4s"],
+        [a for a in by_id.get("lakehouse", {}).get("apps", []) if "spark" in f"{a.get('name','')} {a.get('image','')}".lower()][:3]
+        or [{"name": "spark-worker", "state": "running" if spark_ok else "down", "image": "spark", "ports": ["8080"]}],
+        lake.get("running", 0), max(lake.get("total", 1), 1), "⚡",
+    )
+
+    iceberg = _arch_node(
+        "lake-iceberg", "Iceberg Tables", "bronze → silver → gold", C_LAKE, 28, "#4c9aed", "lakehouse",
+        "ok" if lake.get("trino_ok") else "warn", "atc-lake01", "10.0.21.50",
+        ["Parquet lake"],
+        by_id.get("lakehouse", {}).get("apps", [])[:4],
+        lake.get("running", 0), max(lake.get("total", 1), 1), "🧊",
+        {"trino_ok": lake.get("trino_ok")},
+    )
+    s3_node = by_id.get("s3", {})
+    s3_ok = s3_node.get("level") == "ok"
+    ecs = _arch_node(
+        "lake-s3", "Dell ECS S3", "ObjectScale bucket", C_LAKE, 58, "#4c9aed", "lakehouse",
+        s3_node.get("level", "warn"), "atc-objectscale", "10.0.20.111",
+        ["bucket: data"],
+        s3_node.get("apps", []),
+        s3_node.get("running", 0), max(s3_node.get("total", 1), 1), "🪣",
+        {"bucket": "data", "port": "9020", "consumer_ok": pipeline_active},
+    )
+
+    trino_ok = bool(lake.get("trino_ok"))
+    trino = _arch_node(
+        "query-trino", "Trino", "Federated SQL", C_QRY, 30, "#bc8cff", "query",
+        "ok" if trino_ok else "warn", "atc-lake01", "10.0.21.50",
+        ["5 catalogs"],
+        [a for a in by_id.get("lakehouse", {}).get("apps", []) if "trino" in f"{a.get('name','')} {a.get('image','')}".lower()][:2]
+        or [{"name": "trino", "state": "running" if trino_ok else "down", "image": "trino", "ports": ["8080"]}],
+        int(trino_ok), 1, "🔍",
+    )
+    dbt = _arch_node(
+        "query-dbt", "dbt on Trino", "Transformations", C_QRY, 58, "#e8a838", "query",
+        "ok" if trino_ok else "warn", "atc-lake01", "10.0.21.50",
+        ["84 models"],
+        [{"name": "dbt-core", "state": "running" if trino_ok else "down", "image": "dbt", "ports": []}],
+        int(trino_ok), 1, "🔧",
+    )
+
+    superset_apps = [a for a in docker.get("containers", []) if "superset" in f"{a.get('name','')} {a.get('image','')}".lower()]
+    superset_up = any(a.get("state") == "running" for a in superset_apps)
+    bi = _arch_node(
+        "cons-bi", "BI / Reporting", "Superset", C_CON, 18, "#bc8cff", "consumers",
+        "ok" if superset_up else "warn", "multi-host", "10.0.21.x",
+        ["dashboards"],
+        [_app_row(a) for a in superset_apps[:2]] if superset_apps else [{"name": "superset", "state": "running", "image": "superset", "ports": ["8088"]}],
+        int(superset_up), 1, "📊",
+    )
+    notebooks = _arch_node(
+        "cons-notebooks", "Notebooks", "Jupyter · DBeaver", C_CON, 44, "#bc8cff", "consumers",
+        "ok", "atc-lake01", "10.0.21.50",
+        ["Trino SQL"],
+        [{"name": "jupyter", "state": "running", "image": "jupyter", "ports": ["8888"]}],
+        1, 1, "📓",
+    )
+    gpu_ok = bool(gpu.get("ok"))
+    ml = _arch_node(
+        "cons-ml", "ML / GenAI", "vLLM cluster", C_CON, 70, "#bc8cff", "consumers",
+        "ok" if gpu_ok else "warn", "atc-gpu-dev", "10.0.20.106",
+        [gpu.get("active_model") or "offline"],
+        [{"name": gpu.get("active_model") or "vllm", "state": "running" if gpu.get("inference_active") else "down", "image": "vllm", "ports": ["8001"]}],
+        gpu.get("gpu_count", 0) or 0, max(gpu.get("gpu_count", 4) or 4, 1), "🤖",
+        {"model": gpu.get("active_model"), "util": round(sum(g.get("util_gpu", 0) for g in gpu.get("gpus", [])) / max(len(gpu.get("gpus", [])), 1), 1)},
+    )
+
+    nodes = [
+        pg, mysql, mongo, cass, airflow,
+        cdc_pg, cdc_mysql, cdc_mongo, cdc_cass,
+        kafka, schema, spark,
+        iceberg, ecs,
+        trino, dbt,
+        bi, notebooks, ml,
+    ]
+
+    edges = [
+        _edge("ar1", "src-postgres", "cdc-postgres", "WAL", "pipeline", True),
+        _edge("ar2", "src-mysql", "cdc-mysql", "binlog", "pipeline", True),
+        _edge("ar3", "src-mongo", "cdc-mongo", "oplog", "pipeline", True),
+        _edge("ar4", "src-cassandra", "cdc-cassandra", "CDC", "pipeline", True),
+        _edge("ar5", "src-airflow", "src-postgres", "seed", "pipeline", airflow_ok),
+        _edge("ar6", "cdc-postgres", "stream-kafka", "topics", "pipeline", bool(connectors)),
+        _edge("ar7", "cdc-mysql", "stream-kafka", "topics", "pipeline", bool(connectors)),
+        _edge("ar8", "cdc-mongo", "stream-kafka", "topics", "pipeline", bool(connectors)),
+        _edge("ar9", "cdc-cassandra", "stream-kafka", "topics", "pipeline", bool(connectors)),
+        _edge("ar10", "stream-kafka", "stream-spark", "consume", "pipeline", kafka_ok),
+        _edge("ar11", "stream-kafka", "stream-schema", "schemas", "infra", kafka_ok),
+        _edge("ar12", "stream-spark", "lake-iceberg", "write", "pipeline", spark_ok),
+        _edge("ar13", "stream-spark", "lake-s3", "persist", "pipeline", pipeline_active),
+        _edge("ar14", "lake-iceberg", "query-trino", "catalog", "query", trino_ok),
+        _edge("ar15", "lake-s3", "query-trino", "S3 tables", "query", trino_ok),
+        _edge("ar16", "query-trino", "query-dbt", "models", "query", trino_ok),
+        _edge("ar17", "query-trino", "cons-bi", "SQL", "query", trino_ok),
+        _edge("ar18", "query-trino", "cons-notebooks", "ad-hoc", "query", trino_ok),
+        _edge("ar19", "lake-iceberg", "cons-ml", "features", "query", gpu_ok),
+        _edge("ar20", "cons-ml", "lake-s3", "training data", "parallel", gpu_ok),
+    ]
+
+    return {
+        "id": "architecture",
+        "label": "Data Platform Architecture",
+        "subtitle": "Sources → CDC → Streaming → Lakehouse → Query → Consumers",
+        "layers": [
+            {"id": "sources", "label": "SOURCES", "y": 8, "color": "#4c9aed", "x": 11},
+            {"id": "cdc", "label": "CDC", "y": 8, "color": "#e8a838", "x": 27},
+            {"id": "streaming", "label": "STREAMING", "y": 8, "color": "#e8a838", "x": 43},
+            {"id": "lakehouse", "label": "LAKEHOUSE", "y": 8, "color": "#4c9aed", "x": 59},
+            {"id": "query", "label": "QUERY", "y": 8, "color": "#bc8cff", "x": 75},
+            {"id": "consumers", "label": "CONSUMERS", "y": 8, "color": "#bc8cff", "x": 91},
+        ],
+        "nodes": nodes,
+        "edges": edges,
+    }
+
+
+def _app_row(c: dict[str, Any]) -> dict[str, Any]:
+    img = c.get("image") or ""
+    return {
+        "name": c.get("name", "?"),
+        "state": c.get("state", "unknown"),
+        "image": img.split("/")[-1].split(":")[0][:20],
+        "ports": c.get("ports") or [],
+        "host": c.get("host") or "",
+    }

api/workload.py

@@ -0,0 +1,316 @@
+"""Build UI workload + topology payload from lab snapshot."""
+
+from __future__ import annotations
+
+from typing import Any
+
+from node_registry import NODE_AGENT, NODE_REGISTRY
+from topology_views import build_all_topologies
+
+OBJECTSCALE_HOST = "10.0.20.111"
+OBJECTSCALE_PORT = "9020"
+OBJECTSCALE_BUCKET = "data"
+
+
+def _level(running: int, total: int) -> str:
+    if total == 0:
+        return "unknown"
+    ratio = running / total
+    if ratio >= 0.9:
+        return "ok"
+    if ratio >= 0.5:
+        return "warn"
+    return "down"
+
+
+def _app_row(c: dict[str, Any]) -> dict[str, Any]:
+    img = c.get("image") or ""
+    short_img = img.split("/")[-1].split(":")[0][:20]
+    return {
+        "name": c.get("name", "?"),
+        "state": c.get("state", "unknown"),
+        "image": short_img,
+        "ports": c.get("ports") or [],
+        "host": c.get("host") or "",
+    }
+
+
+def _find_container(containers: list[dict], *patterns: str) -> dict | None:
+    for c in containers:
+        hay = f"{c.get('name', '')} {c.get('image', '')}".lower()
+        if any(p.lower() in hay for p in patterns):
+            return c
+    return None
+
+
+def _s3_level(lakehouse: dict[str, Any], objectscale_ok: bool) -> str:
+    containers = lakehouse.get("containers") or []
+    consumer = _find_container(containers, "s3-kafka", "s3_kafka")
+    consumer_up = consumer and consumer.get("state") == "running"
+    if objectscale_ok and consumer_up:
+        return "ok"
+    if objectscale_ok or consumer_up:
+        return "warn"
+    return "down"
+
+
+def build_workload_payload(snap: dict[str, Any]) -> dict[str, Any]:
+    docker = snap.get("docker", {})
+    databases = snap.get("databases", {})
+    lakehouse = snap.get("lakehouse", {})
+    etl = snap.get("etl", {})
+    hadoop = snap.get("hadoop", {})
+    gpu = snap.get("gpu", {})
+    objectscale = snap.get("objectscale", {})
+    command = snap.get("command_center", {})
+
+    docker_apps = [_app_row(c) for c in docker.get("containers", [])]
+    db_apps = [_app_row(c) for c in databases.get("containers", [])]
+    lake_apps = [_app_row(c) for c in lakehouse.get("containers", [])]
+
+    lake_containers = lakehouse.get("containers") or []
+    connect_app = _find_container(lake_containers, "kafka-connect", "connect")
+    s3_consumer = _find_container(lake_containers, "s3-kafka", "s3_kafka")
+    trino_app = _find_container(lake_containers, "trino")
+    spark_apps = [c for c in lake_containers if "spark" in f"{c.get('name', '')} {c.get('image', '')}".lower()]
+
+    hdfs_ok = hadoop.get("reachable", False)
+    etl_ok = etl.get("airflow_healthy") and etl.get("kafka_ui_ok")
+    objectscale_ok = objectscale.get("reachable", False)
+    s3_level = _s3_level(lakehouse, objectscale_ok)
+    connectors = etl.get("connectors") or []
+
+    etl_apps = [
+        {"name": "Airflow", "state": "running" if etl.get("airflow_healthy") else "down", "image": "airflow", "ports": ["8080"], "host": "10.0.21.55"},
+        {"name": "Kafka", "state": "running" if etl.get("kafka_ui_ok") else "down", "image": "kafka", "ports": ["9092"], "host": "10.0.21.36"},
+        {"name": "Kafka UI", "state": "running" if etl.get("kafka_ui_ok") else "down", "image": "kafka-ui", "ports": ["9000"], "host": "10.0.21.36"},
+        *[
+            {"name": c, "state": "running", "image": "connect", "ports": ["8083"], "host": lakehouse.get("host", "10.0.21.50")}
+            for c in connectors
+        ],
+    ]
+
+    s3_apps = [
+        {"name": "ObjectScale", "state": "running" if objectscale_ok else "down", "image": "objectscale", "ports": [OBJECTSCALE_PORT], "host": OBJECTSCALE_HOST},
+        {"name": f"bucket/{OBJECTSCALE_BUCKET}", "state": "running" if objectscale_ok else "down", "image": "s3", "ports": [], "host": OBJECTSCALE_HOST},
+    ]
+    if s3_consumer:
+        s3_apps.insert(0, _app_row(s3_consumer))
+
+    zones = [
+        {
+            "id": "docker",
+            "label": "DOCKER RACK",
+            "x": 8,
+            "color": "#b366ff",
+            "level": _level(docker.get("running", 0), docker.get("total", 1) or 1),
+            "running": docker.get("running", 0),
+            "total": docker.get("total", 0),
+            "apps": docker_apps,
+            "vm": "atc-docker01",
+            "ip": "10.0.21.45",
+        },
+        {
+            "id": "db",
+            "label": "DB VAULT",
+            "x": 22,
+            "color": "#ffaa00",
+            "level": _level(databases.get("running", 0), databases.get("total", 1) or 1),
+            "running": databases.get("running", 0),
+            "total": databases.get("total", 0),
+            "apps": db_apps,
+            "vm": "atc-db02",
+            "ip": "10.0.21.51",
+        },
+        {
+            "id": "etl",
+            "label": "ETL PIPE",
+            "x": 38,
+            "color": "#00f0ff",
+            "level": "ok" if etl_ok else "warn",
+            "running": sum(1 for s in [etl.get("airflow_healthy"), etl.get("kafka_ui_ok"), etl.get("spark_ui_ok")] if s),
+            "total": 3,
+            "apps": etl_apps,
+            "vm": "airflow + kafka",
+            "ip": "10.0.21.55 / .36",
+        },
+        {
+            "id": "lakehouse",
+            "label": "LAKEHOUSE",
+            "x": 58,
+            "color": "#ff00aa",
+            "level": _level(lakehouse.get("running", 0), lakehouse.get("total", 1) or 1),
+            "running": lakehouse.get("running", 0),
+            "total": lakehouse.get("total", 0),
+            "apps": lake_apps,
+            "trino_ok": lakehouse.get("trino_ok"),
+            "vm": "atc-lake01",
+            "ip": lakehouse.get("host", "10.0.21.50"),
+        },
+        {
+            "id": "s3",
+            "label": "OBJECTSCALE S3",
+            "x": 78,
+            "color": "#ffd700",
+            "level": s3_level,
+            "running": sum(1 for a in s3_apps if a.get("state") == "running"),
+            "total": len(s3_apps),
+            "apps": s3_apps,
+            "vm": "atc-objectscale",
+            "ip": OBJECTSCALE_HOST,
+            "bucket": OBJECTSCALE_BUCKET,
+        },
+        {
+            "id": "hadoop",
+            "label": "HADOOP HDFS",
+            "x": 50,
+            "color": "#39ff14",
+            "level": "ok" if hdfs_ok else "warn",
+            "running": hadoop.get("live_datanodes", 0),
+            "total": (hadoop.get("live_datanodes") or 0) + (hadoop.get("dead_datanodes") or 0) or 3,
+            "apps": [
+                {"name": "NameNode", "state": "running" if hdfs_ok else "down", "image": "hdfs-nn", "ports": ["9870"], "host": "10.0.21.61"},
+                *[
+                    {"name": dn.get("host", "?").split(".")[0], "state": "running", "image": "datanode", "ports": ["9866"], "host": dn.get("host", "")}
+                    for dn in hadoop.get("datanodes", [])
+                ],
+            ],
+            "hdfs_used_gb": hadoop.get("capacity_used_gb"),
+            "hdfs_total_gb": hadoop.get("capacity_total_gb"),
+            "vm": "hadoop cluster",
+            "ip": "10.0.21.61–70",
+        },
+    ]
+
+    def _node(
+        nid: str,
+        label: str,
+        vm: str,
+        ip: str,
+        x: float,
+        y: float,
+        color: str,
+        level: str,
+        role: str,
+        apps: list[dict],
+        running: int,
+        total: int,
+        extra: dict | None = None,
+    ) -> dict[str, Any]:
+        reg = NODE_REGISTRY.get(nid, {})
+        row: dict[str, Any] = {
+            "id": nid,
+            "label": label,
+            "vm": vm,
+            "ip": ip,
+            "x": x,
+            "y": y,
+            "color": reg.get("color", color),
+            "level": level,
+            "role": role,
+            "apps": apps,
+            "running": running,
+            "total": total,
+            "description": reg.get("description", ""),
+            "agent_id": NODE_AGENT.get(nid),
+            "links": reg.get("links", []),
+            "endpoints": reg.get("endpoints", []),
+            "commands": reg.get("commands", []),
+            "vmid": reg.get("vmid"),
+            "pve": reg.get("pve"),
+        }
+        if extra:
+            row.update(extra)
+        return row
+
+    connect_running = 1 if connect_app and connect_app.get("state") == "running" else 0
+    consumer_running = 1 if s3_consumer and s3_consumer.get("state") == "running" else 0
+
+    topology_nodes = [
+        _node("airflow", "Airflow", "atc-airflow01", "10.0.21.55", 6, 18, "#00f0ff", "ok" if etl.get("airflow_healthy") else "warn", "orchestrator",
+              [{"name": "scheduler", "state": "running" if etl.get("airflow_healthy") else "down", "image": "airflow", "ports": ["8080"]}], int(etl.get("airflow_healthy", False)), 1),
+        _node("db", "DB Vault", "atc-db02", "10.0.21.51", 22, 18, "#ffaa00", _level(databases.get("running", 0), databases.get("total", 1) or 1), "sources",
+              db_apps, databases.get("running", 0), databases.get("total", 0)),
+        _node("debezium", "Debezium", "atc-lake01", "10.0.21.50", 38, 18, "#ff66cc", "ok" if connect_running and connectors else "warn", "cdc",
+              [_app_row(connect_app)] if connect_app else [], len(connectors), max(len(connectors), 1),
+              {"connectors": connectors}),
+        _node("kafka", "Kafka", "atc-kafka01", "10.0.21.36", 54, 18, "#00f0ff", "ok" if etl.get("kafka_ui_ok") else "warn", "bus",
+              [{"name": "broker", "state": "running" if etl.get("kafka_ui_ok") else "down", "image": "kafka", "ports": ["9092"]}], int(etl.get("kafka_ui_ok", False)), 1),
+        _node("lakehouse", "Lakehouse", "atc-lake01", "10.0.21.50", 70, 18, "#ff00aa", _level(lakehouse.get("running", 0), lakehouse.get("total", 1) or 1), "compute",
+              lake_apps, lakehouse.get("running", 0), lakehouse.get("total", 0),
+              {"trino_ok": lakehouse.get("trino_ok"), "spark_count": len(spark_apps)}),
+        _node("s3", "ObjectScale S3", "atc-objectscale", OBJECTSCALE_HOST, 88, 18, "#ffd700", s3_level, "storage",
+              s3_apps, sum(1 for a in s3_apps if a.get("state") == "running"), len(s3_apps),
+              {"bucket": OBJECTSCALE_BUCKET, "port": OBJECTSCALE_PORT, "consumer_ok": bool(consumer_running)}),
+        _node("docker", "Docker Rack", "atc-docker01", "10.0.21.45", 10, 52, "#b366ff", _level(docker.get("running", 0), docker.get("total", 1) or 1), "infra",
+              docker_apps, docker.get("running", 0), docker.get("total", 0)),
+        _node("hadoop", "Hadoop HDFS", "atc-hadoop-m01", "10.0.21.61", 50, 52, "#39ff14", "ok" if hdfs_ok else "warn", "parallel",
+              zones[-1]["apps"], hadoop.get("live_datanodes", 0), zones[-1]["total"],
+              {"hdfs_used_gb": hadoop.get("capacity_used_gb"), "hdfs_total_gb": hadoop.get("capacity_total_gb")}),
+        _node("gpu", "GPU Lab", "atc-gpu-dev", "10.0.20.106", 88, 52, "#76b900", "ok" if gpu.get("ok") else "down", "inference",
+              [{"name": gpu.get("active_model") or "vLLM", "state": "running" if gpu.get("inference_active") else "down", "image": "vllm", "ports": ["8001"]}],
+              gpu.get("gpu_count", 0), gpu.get("gpu_count", 0) or 4,
+              {"model": gpu.get("active_model"), "util": round(sum(g.get("util_gpu", 0) for g in gpu.get("gpus", [])) / max(len(gpu.get("gpus", [])), 1), 1)}),
+        _node("command", "Command Center", "MCP · VM304", "10.0.21.33", 50, 78, "#00f0ff",
+              _level(command.get("running", 0), command.get("total", 1) or 1), "hub",
+              command.get("containers") and [_app_row(c) for c in command.get("containers", [])] or [
+                  {"name": "atc-agents-api", "state": "running", "image": "atc-agents-api", "ports": ["3201"]},
+                  {"name": "atc-agents-ui", "state": "running", "image": "atc-agents-ui", "ports": ["80"]},
+                  {"name": "postgres", "state": "running", "image": "postgres", "ports": ["5432"]},
+                  {"name": "redis", "state": "running", "image": "redis", "ports": ["6379"]},
+                  {"name": "caddy", "state": "running", "image": "caddy", "ports": ["80"]},
+              ],
+              command.get("running", 5), command.get("total", 5) or 5),
+    ]
+
+    def _edge(eid: str, src: str, dst: str, label: str, kind: str, active: bool = True) -> dict[str, Any]:
+        return {"id": eid, "from": src, "to": dst, "label": label, "kind": kind, "active": active}
+
+    pipeline_ok = etl.get("airflow_healthy") and len(connectors) > 0 and etl.get("kafka_ui_ok")
+    s3_flow_ok = pipeline_ok and consumer_running and objectscale_ok
+
+    topology_edges = [
+        _edge("e-seed", "airflow", "db", "seed data", "pipeline", bool(etl.get("airflow_healthy"))),
+        _edge("e-cdc", "db", "debezium", "CDC", "pipeline", bool(connectors)),
+        _edge("e-topics", "debezium", "kafka", "topics", "pipeline", bool(connectors and etl.get("kafka_ui_ok"))),
+        _edge("e-stream", "kafka", "lakehouse", "stream", "pipeline", bool(etl.get("kafka_ui_ok") and lakehouse.get("trino_ok"))),
+        _edge("e-s3", "lakehouse", "s3", "s3-kafka-consumer", "pipeline", bool(s3_flow_ok)),
+        _edge("e-iceberg", "lakehouse", "s3", "Trino Iceberg", "query", bool(lakehouse.get("trino_ok") and objectscale_ok)),
+        _edge("e-trino-db", "lakehouse", "db", "federated SQL", "query", bool(lakehouse.get("trino_ok"))),
+        _edge("e-hdfs", "lakehouse", "hadoop", "parallel layer", "parallel", bool(hdfs_ok)),
+        _edge("e-monitor-docker", "command", "docker", "monitor", "infra", True),
+        _edge("e-monitor-gpu", "command", "gpu", "LLM", "infra", bool(gpu.get("ok"))),
+    ]
+
+    topologies = build_all_topologies(
+        topology_nodes,
+        topology_edges,
+        snap,
+        pipeline_active=s3_flow_ok,
+        connectors=connectors,
+    )
+
+    return {
+        "ts": snap.get("ts"),
+        "zones": zones,
+        "topology": topologies["architecture"],
+        "topologies": topologies,
+        "gpu": {
+            "level": "ok" if gpu.get("ok") and gpu.get("inference_active") else ("warn" if gpu.get("ok") else "down"),
+            "model": gpu.get("active_model"),
+            "inference_active": gpu.get("inference_active"),
+            "gpu_count": gpu.get("gpu_count", 0),
+            "avg_util": round(
+                sum(g.get("util_gpu", 0) for g in gpu.get("gpus", [])) / max(len(gpu.get("gpus", [])), 1),
+                1,
+            ),
+            "gpus": gpu.get("gpus", []),
+        },
+        "totals": {
+            "apps_running": sum(z["running"] for z in zones if z["id"] not in ("hadoop",)) + (hadoop.get("live_datanodes") or 0),
+            "apps_total": sum(z["total"] for z in zones),
+            "connectors": len(connectors),
+            "vms": len(topology_nodes),
+            "pipeline_active": s3_flow_ok,
+        },
+    }

caddy/Caddyfile

@@ -1,4 +1,17 @@
 :80 {
-    reverse_proxy /api/* api:3201
+    handle_path /rag/* {
-    reverse_proxy /* ui:80
+        reverse_proxy rag-api:5020
+    }
+    handle_path /jupyter/* {
+        reverse_proxy jupyter:8888
+    }
+    handle_path /dq/* {
+        reverse_proxy dq-api:5010
+    }
+    handle /api/* {
+        reverse_proxy api:3201
+    }
+    handle {
+        reverse_proxy ui:80
+    }
 }

config/command-center/.env.example

@@ -0,0 +1,27 @@
+# Command Center — VM304 (10.0.21.33)
+# Copy to /opt/atc-agents/.env — never commit secrets
+
+# Postgres (internal)
+POSTGRES_USER=atc
+POSTGRES_PASSWORD=change-me
+POSTGRES_DB=atc_agents
+
+# GPU / LLM (VM303)
+GPU_URL=http://10.0.20.106:9000
+LLM_URL=http://10.0.20.106:8001/v1
+LLM_MODEL=gpt-4o
+LLM_API_KEY=sk-local
+
+# ObjectScale S3 (VM objectscale 10.0.20.111)
+S3_ENDPOINT=http://10.0.20.111:9020
+S3_ACCESS_KEY=object_admin1
+S3_SECRET_KEY=REDACTED-use-deploy-yml-or-ecs-admin
+S3_REGION=us-east-1
+
+# Jupyter
+JUPYTER_TOKEN=change-me-jupyter-token
+
+# Lakehouse / ETL (optional probes)
+LAKEHOUSE_HOST=10.0.21.50
+AIRFLOW_URL=http://10.0.21.55:8080
+KAFKA_UI_URL=http://10.0.21.36:9000

config/command-center/Caddyfile

@@ -0,0 +1,17 @@
+:80 {
+    handle_path /rag/* {
+        reverse_proxy rag-api:5020
+    }
+    handle_path /jupyter/* {
+        reverse_proxy jupyter:8888
+    }
+    handle_path /dq/* {
+        reverse_proxy dq-api:5010
+    }
+    handle /api/* {
+        reverse_proxy api:3201
+    }
+    handle {
+        reverse_proxy ui:80
+    }
+}

config/command-center/docker-compose.yml

@@ -0,0 +1,150 @@
+services:
+  redis:
+    image: redis:7-alpine
+    restart: unless-stopped
+    volumes:
+      - redis_data:/data
+
+  postgres:
+    image: postgres:16-alpine
+    restart: unless-stopped
+    environment:
+      POSTGRES_USER: atc
+      POSTGRES_PASSWORD: atc-agents-pg
+      POSTGRES_DB: atc_agents
+    volumes:
+      - postgres_data:/var/lib/postgresql/data
+    healthcheck:
+      test: ["CMD-SHELL", "pg_isready -U atc -d atc_agents"]
+      interval: 5s
+      timeout: 5s
+      retries: 10
+
+  api:
+    build: ./api
+    restart: unless-stopped
+    env_file:
+      - .env
+    environment:
+      REDIS_URL: redis://redis:6379/0
+      DOCKHAND_URL: http://10.0.21.45:8082
+      DATABASE_URL: postgresql+psycopg2://atc:atc-agents-pg@postgres:5432/atc_agents
+      SQLITE_FALLBACK_PATH: /data/atc-agents.db
+      DOCLING_URL: http://docling-serve:5001
+      PRESENTATIONS_DIR: /data/presentations
+      GPU_URL: http://10.0.20.106:9000
+      GPU_UI_URL: http://10.0.20.106:9000
+      LLM_URL: http://10.0.20.106:8001/v1
+      LLM_MODEL: gpt-4o
+      LLM_API_KEY: sk-local
+      LAKEHOUSE_HOST: 10.0.21.50
+      AIRFLOW_URL: http://10.0.21.55:8080
+      KAFKA_UI_URL: http://10.0.21.36:9000
+      HDFS_NN_URL: http://10.0.21.61:9870
+      S3_ENDPOINT: ${S3_ENDPOINT:-http://10.0.20.111:9020}
+      S3_ACCESS_KEY: ${S3_ACCESS_KEY:-object_admin1}
+      S3_SECRET_KEY: ${S3_SECRET_KEY}
+      S3_REGION: ${S3_REGION:-us-east-1}
+    volumes:
+      - api_data:/data
+    depends_on:
+      redis:
+        condition: service_started
+      postgres:
+        condition: service_healthy
+
+  ui:
+    build: ./ui
+    restart: unless-stopped
+    depends_on:
+      - api
+
+  docling-serve:
+    image: quay.io/docling-project/docling-serve-cpu
+    restart: unless-stopped
+    ports:
+      - "5001:5001"
+    environment:
+      DOCLING_SERVE_ENABLE_UI: "1"
+      DOCLING_SERVE_MAX_SYNC_WAIT: "300"
+
+  chromadb:
+    image: chromadb/chroma:0.5.23
+    restart: unless-stopped
+    volumes:
+      - chroma_data:/chroma/chroma
+    environment:
+      ANONYMIZED_TELEMETRY: "false"
+
+  rag-api:
+    build: ../atc-data-quality/rag-api
+    restart: unless-stopped
+    environment:
+      CHROMA_HOST: chromadb
+      CHROMA_PORT: 8000
+      DOCLING_URL: http://docling-serve:5001
+      LLM_URL: http://10.0.20.106:8001/v1
+      LLM_MODEL: gpt-4o
+      LLM_API_KEY: sk-local
+      RAG_DATA_DIR: /data
+    volumes:
+      - rag_data:/data
+    depends_on:
+      - chromadb
+      - docling-serve
+
+  dq-api:
+    build: ../atc-data-quality/dq-api
+    restart: unless-stopped
+    environment:
+      DOCLING_URL: http://docling-serve:5001
+      DQ_DATA_DIR: /data
+      RAG_URL: http://rag-api:5020
+      RAG_COLLECTION: default
+    volumes:
+      - dq_data:/data
+    depends_on:
+      - docling-serve
+      - rag-api
+
+  jupyter:
+    image: quay.io/jupyter/scipy-notebook:latest
+    restart: unless-stopped
+    environment:
+      JUPYTER_TOKEN: ${JUPYTER_TOKEN:-atc-jupyter}
+      AWS_ACCESS_KEY_ID: ${S3_ACCESS_KEY:-object_admin1}
+      AWS_SECRET_ACCESS_KEY: ${S3_SECRET_KEY}
+      S3_ENDPOINT: ${S3_ENDPOINT:-http://10.0.20.111:9020}
+      AWS_DEFAULT_REGION: ${S3_REGION:-us-east-1}
+    command: >
+      start-notebook.sh
+      --NotebookApp.base_url=/jupyter/
+      --NotebookApp.token=${JUPYTER_TOKEN:-atc-jupyter}
+      --NotebookApp.allow_origin=*
+    volumes:
+      - jupyter_data:/home/jovyan/work
+
+  caddy:
+    image: caddy:2-alpine
+    restart: unless-stopped
+    ports:
+      - "80:80"
+    volumes:
+      - ./caddy/Caddyfile:/etc/caddy/Caddyfile:ro
+    depends_on:
+      - ui
+      - api
+      - dq-api
+      - docling-serve
+      - rag-api
+      - chromadb
+      - jupyter
+
+volumes:
+  chroma_data:
+  rag_data:
+  dq_data:
+  redis_data:
+  postgres_data:
+  api_data:
+  jupyter_data:

docker-compose.dockhand.yml

@@ -0,0 +1,70 @@
+# Dockhand-managed compose — image-only (no build context on Dockhand host).
+# Source of truth for builds: /opt/atc-agents on VM304 (10.0.21.33).
+services:
+  redis:
+    image: redis:7-alpine
+    restart: unless-stopped
+    volumes:
+      - redis_data:/data
+
+  postgres:
+    image: postgres:16-alpine
+    restart: unless-stopped
+    environment:
+      POSTGRES_USER: atc
+      POSTGRES_PASSWORD: atc-agents-pg
+      POSTGRES_DB: atc_agents
+    volumes:
+      - postgres_data:/var/lib/postgresql/data
+    healthcheck:
+      test: ["CMD-SHELL", "pg_isready -U atc -d atc_agents"]
+      interval: 5s
+      timeout: 5s
+      retries: 10
+
+  api:
+    image: atc-agents-api:latest
+    restart: unless-stopped
+    environment:
+      REDIS_URL: redis://redis:6379/0
+      DOCKHAND_URL: http://10.0.21.45:8082
+      DATABASE_URL: postgresql+psycopg2://atc:atc-agents-pg@postgres:5432/atc_agents
+      SQLITE_FALLBACK_PATH: /data/atc-agents.db
+      GPU_URL: http://10.0.20.106:9000
+      GPU_UI_URL: http://10.0.20.106:9000
+      LLM_URL: http://10.0.20.106:8001/v1
+      LLM_MODEL: qwen2.5-32b-gptq
+      LLM_API_KEY: sk-local
+      LAKEHOUSE_HOST: 10.0.21.50
+      AIRFLOW_URL: http://10.0.21.55:8080
+      KAFKA_UI_URL: http://10.0.21.36:9000
+      HDFS_NN_URL: http://10.0.21.61:9870
+    volumes:
+      - api_data:/data
+    depends_on:
+      redis:
+        condition: service_started
+      postgres:
+        condition: service_healthy
+
+  ui:
+    image: atc-agents-ui:latest
+    restart: unless-stopped
+    depends_on:
+      - api
+
+  caddy:
+    image: caddy:2-alpine
+    restart: unless-stopped
+    ports:
+      - "80:80"
+    volumes:
+      - ./caddy/Caddyfile:/etc/caddy/Caddyfile:ro
+    depends_on:
+      - ui
+      - api
+
+volumes:
+  redis_data:
+  postgres_data:
+  api_data:

docker-compose.yml

@@ -5,17 +5,53 @@ services:
     volumes:
       - redis_data:/data
 
+  postgres:
+    image: postgres:16-alpine
+    restart: unless-stopped
+    environment:
+      POSTGRES_USER: atc
+      POSTGRES_PASSWORD: atc-agents-pg
+      POSTGRES_DB: atc_agents
+    volumes:
+      - postgres_data:/var/lib/postgresql/data
+    healthcheck:
+      test: ["CMD-SHELL", "pg_isready -U atc -d atc_agents"]
+      interval: 5s
+      timeout: 5s
+      retries: 10
+
   api:
     build: ./api
     restart: unless-stopped
+    env_file:
+      - .env
     environment:
       REDIS_URL: redis://redis:6379/0
       DOCKHAND_URL: http://10.0.21.45:8082
-      DATABASE_URL: sqlite:////data/atc-agents.db
+      DATABASE_URL: postgresql+psycopg2://atc:atc-agents-pg@postgres:5432/atc_agents
+      SQLITE_FALLBACK_PATH: /data/atc-agents.db
+      DOCLING_URL: http://docling-serve:5001
+      PRESENTATIONS_DIR: /data/presentations
+      GPU_URL: http://10.0.20.106:9000
+      GPU_UI_URL: http://10.0.20.106:9000
+      LLM_URL: http://10.0.20.106:8001/v1
+      LLM_MODEL: gpt-4o
+      LLM_API_KEY: sk-local
+      LAKEHOUSE_HOST: 10.0.21.50
+      AIRFLOW_URL: http://10.0.21.55:8080
+      KAFKA_UI_URL: http://10.0.21.36:9000
+      HDFS_NN_URL: http://10.0.21.61:9870
+      S3_ENDPOINT: ${S3_ENDPOINT:-http://10.0.20.111:9020}
+      S3_ACCESS_KEY: ${S3_ACCESS_KEY:-object_admin1}
+      S3_SECRET_KEY: ${S3_SECRET_KEY}
+      S3_REGION: ${S3_REGION:-us-east-1}
     volumes:
       - api_data:/data
     depends_on:
-      - redis
+      redis:
+        condition: service_started
+      postgres:
+        condition: service_healthy
 
   ui:
     build: ./ui
@@ -23,6 +59,71 @@ services:
     depends_on:
       - api
 
+  docling-serve:
+    image: quay.io/docling-project/docling-serve-cpu
+    restart: unless-stopped
+    ports:
+      - "5001:5001"
+    environment:
+      DOCLING_SERVE_ENABLE_UI: "1"
+      DOCLING_SERVE_MAX_SYNC_WAIT: "300"
+
+  chromadb:
+    image: chromadb/chroma:0.5.23
+    restart: unless-stopped
+    volumes:
+      - chroma_data:/chroma/chroma
+    environment:
+      ANONYMIZED_TELEMETRY: "false"
+
+  rag-api:
+    build: ../atc-data-quality/rag-api
+    restart: unless-stopped
+    environment:
+      CHROMA_HOST: chromadb
+      CHROMA_PORT: 8000
+      DOCLING_URL: http://docling-serve:5001
+      LLM_URL: http://10.0.20.106:8001/v1
+      LLM_MODEL: gpt-4o
+      LLM_API_KEY: sk-local
+      RAG_DATA_DIR: /data
+    volumes:
+      - rag_data:/data
+    depends_on:
+      - chromadb
+      - docling-serve
+
+  dq-api:
+    build: ../atc-data-quality/dq-api
+    restart: unless-stopped
+    environment:
+      DOCLING_URL: http://docling-serve:5001
+      DQ_DATA_DIR: /data
+      RAG_URL: http://rag-api:5020
+      RAG_COLLECTION: default
+    volumes:
+      - dq_data:/data
+    depends_on:
+      - docling-serve
+      - rag-api
+
+  jupyter:
+    image: quay.io/jupyter/scipy-notebook:latest
+    restart: unless-stopped
+    environment:
+      JUPYTER_TOKEN: ${JUPYTER_TOKEN:-atc-jupyter}
+      AWS_ACCESS_KEY_ID: ${S3_ACCESS_KEY:-object_admin1}
+      AWS_SECRET_ACCESS_KEY: ${S3_SECRET_KEY}
+      S3_ENDPOINT: ${S3_ENDPOINT:-http://10.0.20.111:9020}
+      AWS_DEFAULT_REGION: ${S3_REGION:-us-east-1}
+    command: >
+      start-notebook.sh
+      --NotebookApp.base_url=/jupyter/
+      --NotebookApp.token=${JUPYTER_TOKEN:-atc-jupyter}
+      --NotebookApp.allow_origin=*
+    volumes:
+      - jupyter_data:/home/jovyan/work
+
   caddy:
     image: caddy:2-alpine
     restart: unless-stopped
@@ -33,7 +134,17 @@ services:
     depends_on:
       - ui
       - api
+      - dq-api
+      - docling-serve
+      - rag-api
+      - chromadb
+      - jupyter
 
 volumes:
+  chroma_data:
+  rag_data:
+  dq_data:
   redis_data:
+  postgres_data:
   api_data:
+  jupyter_data:

docs/runbook-vm304.md

@@ -0,0 +1,46 @@
+# Command Center VM304
+
+| Item | Value |
+|------|-------|
+| VM | MCP · Proxmox VMID **304** |
+| IP | `10.0.21.33` |
+| SSH | `root@10.0.21.33` |
+| Gitea | `http://atc-mgt01.dell-atc.lan:3001/mo/atc-agents` |
+
+## Stack
+
+- **ui** — React (Data Platform, Presentation, DQ, Knowledge Chat, S3 Storage, Jupyter link)
+- **api** — FastAPI + WebSocket + S3 browser API
+- **dq-api / rag-api** — from `mo/atc-data-quality`
+- **jupyter** — JupyterLab with S3 credentials
+- **chromadb, docling, postgres, redis, caddy**
+
+## ObjectScale S3
+
+| Item | Value |
+|------|-------|
+| Endpoint | `http://10.0.20.111:9020` |
+| Namespace | `ns1` |
+| Default user | `object_admin1` (see ECS deploy.yml) |
+| UI browse | Command Center → **Object Storage** |
+
+## Jupyter
+
+- URL: `http://10.0.21.33/jupyter/`
+- Token: `JUPYTER_TOKEN` in `.env`
+- Work dir persisted in Docker volume `jupyter_data`
+- Preconfigured: `AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`, `S3_ENDPOINT`
+
+Example in notebook:
+
+```python
+import boto3, os
+s3 = boto3.client("s3", endpoint_url=os.environ["S3_ENDPOINT"])
+print(s3.list_buckets())
+```
+
+## Gitea sync
+
+```bash
+./scripts/sync-gitea.sh
+```

index.html

@@ -0,0 +1,15 @@
+<!DOCTYPE html>
+<html lang="en" class="light">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <title>ATC Command Center</title>
+    <link rel="preconnect" href="https://fonts.googleapis.com" />
+    <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
+    <link href="https://fonts.googleapis.com/css2?family=JetBrains+Mono:wght@400;600&family=Space+Grotesk:wght@400;500;600;700&display=swap" rel="stylesheet" />
+  </head>
+  <body>
+    <div id="root"></div>
+    <script type="module" src="/src/main.tsx"></script>
+  </body>
+</html>

lab_context.py

@@ -0,0 +1,541 @@
+"""Live lab metrics for all ATC domains — fed to vLLM as context."""
+
+from __future__ import annotations
+
+import asyncio
+import json
+import os
+import time
+from datetime import datetime, timezone
+from typing import Any
+
+import httpx
+
+from agent_terminal import TerminalLogFn
+
+DOCKHAND_URL = os.getenv("DOCKHAND_URL", "http://10.0.21.45:8082")
+HDFS_NN_URL = os.getenv("HDFS_NN_URL", "http://10.0.21.61:9870")
+LAKEHOUSE_HOST = os.getenv("LAKEHOUSE_HOST", "10.0.21.50")
+AIRFLOW_URL = os.getenv("AIRFLOW_URL", "http://10.0.21.55:8080")
+KAFKA_UI_URL = os.getenv("KAFKA_UI_URL", "http://10.0.21.36:9000")
+KAFKA_CONNECT_URL = os.getenv("KAFKA_CONNECT_URL", f"http://{LAKEHOUSE_HOST}:8083")
+TRINO_URL = os.getenv("TRINO_URL", f"http://{LAKEHOUSE_HOST}:8089")
+SPARK_UI_URL = os.getenv("SPARK_UI_URL", f"http://{LAKEHOUSE_HOST}:8080")
+GPU_URL = os.getenv("GPU_URL", "http://10.0.20.106:9000")
+
+AGENT_PRIMARY_DOMAIN = {
+    "infra-sentinel": "docker",
+    "data-custodian": "databases",
+    "lakehouse-ops": "lakehouse",
+    "hadoop-ranger": "hadoop",
+    "etl-guardian": "etl",
+}
+
+
+async def _log(log: TerminalLogFn | None, level: str, phase: str, text: str) -> None:
+    if log:
+        await log(level, phase, text)
+
+
+async def _get_json(
+    client: httpx.AsyncClient,
+    url: str,
+    log: TerminalLogFn | None = None,
+    label: str = "",
+    timeout: float = 6.0,
+) -> Any | None:
+    name = label or url
+    t0 = time.monotonic()
+    await _log(log, "cmd", "fetch", f"$ GET {url}")
+    try:
+        r = await client.get(url, timeout=timeout)
+        ms = int((time.monotonic() - t0) * 1000)
+        if r.status_code < 400:
+            await _log(log, "ok", "fetch", f"← {r.status_code} {name} ({ms}ms)")
+            return r.json()
+        await _log(log, "warn", "fetch", f"← {r.status_code} {name} ({ms}ms)")
+    except Exception as exc:
+        ms = int((time.monotonic() - t0) * 1000)
+        await _log(log, "err", "fetch", f"✗ {name}: {exc} ({ms}ms)")
+    return None
+
+
+async def _probe_ok(
+    client: httpx.AsyncClient,
+    url: str,
+    log: TerminalLogFn | None = None,
+    label: str = "",
+) -> bool:
+    name = label or url
+    t0 = time.monotonic()
+    await _log(log, "cmd", "probe", f"$ GET {url}")
+    try:
+        r = await client.get(url, timeout=4.0)
+        ms = int((time.monotonic() - t0) * 1000)
+        ok = r.status_code < 500
+        await _log(log, "ok" if ok else "warn", "probe", f"← {r.status_code} {name} ({'UP' if ok else 'DOWN'}, {ms}ms)")
+        return ok
+    except Exception as exc:
+        ms = int((time.monotonic() - t0) * 1000)
+        await _log(log, "err", "probe", f"✗ {name}: {exc} ({ms}ms)")
+        return False
+
+
+def _container_rows(containers: list[dict], host: str = "") -> list[dict[str, Any]]:
+    rows = []
+    for c in containers:
+        ports = sorted({str(p.get("PublicPort")) for p in c.get("ports", []) if p.get("PublicPort")})
+        rows.append({
+            "name": c.get("name"),
+            "state": c.get("state"),
+            "image": c.get("image"),
+            "status": c.get("status"),
+            "ports": ports,
+            "host": host,
+        })
+    return rows
+
+
+async def dockhand_containers(
+    client: httpx.AsyncClient,
+    env_id: int,
+    log: TerminalLogFn | None = None,
+) -> list[dict]:
+    url = f"{DOCKHAND_URL}/api/containers?env={env_id}"
+    await _log(log, "cmd", "fetch", f"$ GET {url}")
+    t0 = time.monotonic()
+    try:
+        r = await client.get(f"{DOCKHAND_URL}/api/containers", params={"env": env_id}, timeout=8.0)
+        ms = int((time.monotonic() - t0) * 1000)
+        r.raise_for_status()
+        data = r.json()
+        await _log(log, "ok", "fetch", f"← Dockhand env {env_id}: {len(data)} containers ({ms}ms)")
+        return data
+    except Exception as exc:
+        ms = int((time.monotonic() - t0) * 1000)
+        await _log(log, "err", "fetch", f"✗ Dockhand env {env_id}: {exc} ({ms}ms)")
+        return []
+
+
+async def collect_hdfs(client: httpx.AsyncClient, log: TerminalLogFn | None = None) -> dict[str, Any]:
+    ctx: dict[str, Any] = {"reachable": False, "namenode": HDFS_NN_URL}
+    await _log(log, "info", "fetch", "▸ HDFS NameNode JMX metrics")
+    try:
+        fs_url = f"{HDFS_NN_URL}/jmx?qry=Hadoop:service=NameNode,name=FSNamesystem"
+        nn_url = f"{HDFS_NN_URL}/jmx?qry=Hadoop:service=NameNode,name=NameNodeInfo"
+        t0 = time.monotonic()
+        await _log(log, "cmd", "fetch", f"$ GET {fs_url}")
+        await _log(log, "cmd", "fetch", f"$ GET {nn_url}")
+        fs_r, nn_r = await asyncio.gather(
+            client.get(fs_url),
+            client.get(nn_url),
+            return_exceptions=True,
+        )
+        ms = int((time.monotonic() - t0) * 1000)
+        if isinstance(fs_r, httpx.Response) and fs_r.status_code == 200:
+            beans = fs_r.json().get("beans", [])
+            if beans:
+                b = beans[0]
+                ctx.update({
+                    "reachable": True,
+                    "hostname": b.get("tag.Hostname"),
+                    "ha_state": b.get("tag.HAState"),
+                    "capacity_total_gb": b.get("CapacityTotalGB"),
+                    "capacity_used_gb": b.get("CapacityUsedGB"),
+                    "capacity_remaining_gb": b.get("CapacityRemainingGB"),
+                    "files_total": b.get("FilesTotal"),
+                    "blocks_total": b.get("BlocksTotal"),
+                    "live_datanodes": b.get("NumLiveDataNodes"),
+                    "dead_datanodes": b.get("NumDeadDataNodes"),
+                    "missing_blocks": b.get("MissingBlocks"),
+                    "under_replicated_blocks": b.get("UnderReplicatedBlocks"),
+                    "corrupt_blocks": b.get("CorruptBlocks"),
+                    "default_replication_factor": 3,
+                })
+                await _log(
+                    log, "ok", "fetch",
+                    f"← HDFS: {b.get('CapacityUsedGB')}GB used, {b.get('FilesTotal')} files, "
+                    f"{b.get('NumLiveDataNodes')} datanodes ({ms}ms)",
+                )
+        else:
+            await _log(log, "warn", "fetch", f"← FSNamesystem JMX failed ({ms}ms)")
+
+        if isinstance(nn_r, httpx.Response) and nn_r.status_code == 200:
+            beans = nn_r.json().get("beans", [])
+            if beans:
+                b = beans[0]
+                live = json.loads(b.get("LiveNodes") or "{}")
+                ctx["hdfs_version"] = b.get("Version")
+                ctx["safemode"] = b.get("Safemode") or "off"
+                ctx["percent_used"] = round(float(b.get("PercentUsed", 0)) * 100, 4)
+                ctx["datanodes"] = [
+                    {
+                        "host": host.split(":")[0],
+                        "capacity_gb": round(node.get("capacity", 0) / (1024**3), 1),
+                        "used_gb": round(node.get("used", 0) / (1024**3), 4),
+                        "blocks": node.get("numBlocks", 0),
+                        "state": node.get("adminState"),
+                    }
+                    for host, node in live.items()
+                ]
+    except Exception as exc:
+        ctx["error"] = str(exc)
+        await _log(log, "err", "fetch", f"✗ HDFS: {exc}")
+    return ctx
+
+
+async def collect_etl(client: httpx.AsyncClient, log: TerminalLogFn | None = None) -> dict[str, Any]:
+    await _log(log, "info", "fetch", "▸ ETL stack (Airflow, Kafka, Spark)")
+    health, kafka_ok, spark_ok = await asyncio.gather(
+        _get_json(client, f"{AIRFLOW_URL}/api/v2/monitor/health", log, "Airflow health"),
+        _probe_ok(client, KAFKA_UI_URL, log, "Kafka UI"),
+        _probe_ok(client, SPARK_UI_URL, log, "Spark UI"),
+    )
+    connectors: list[str] = []
+    await _log(log, "cmd", "fetch", f"$ GET {KAFKA_CONNECT_URL}/connectors")
+    t0 = time.monotonic()
+    try:
+        r = await client.get(f"{KAFKA_CONNECT_URL}/connectors", timeout=5.0)
+        ms = int((time.monotonic() - t0) * 1000)
+        if r.status_code == 200:
+            connectors = r.json() if isinstance(r.json(), list) else []
+            await _log(log, "ok", "fetch", f"← Kafka Connect: {len(connectors)} connectors ({ms}ms)")
+            for c in connectors:
+                await _log(log, "info", "fetch", f"  · {c}")
+        else:
+            await _log(log, "warn", "fetch", f"← Kafka Connect {r.status_code} ({ms}ms)")
+    except Exception as exc:
+        await _log(log, "err", "fetch", f"✗ Kafka Connect: {exc}")
+
+    airflow_detail: dict[str, str] = {}
+    if isinstance(health, dict):
+        for comp, info in health.items():
+            if isinstance(info, dict) and "status" in info:
+                airflow_detail[comp] = info["status"]
+                await _log(log, "info", "fetch", f"  Airflow {comp}: {info['status']}")
+
+    return {
+        "airflow_url": AIRFLOW_URL,
+        "airflow_healthy": airflow_detail.get("scheduler") == "healthy",
+        "airflow_components": airflow_detail,
+        "kafka_ui_url": KAFKA_UI_URL,
+        "kafka_ui_ok": kafka_ok,
+        "kafka_connect_url": KAFKA_CONNECT_URL,
+        "connectors": connectors,
+        "spark_ui_url": SPARK_UI_URL,
+        "spark_ui_ok": spark_ok,
+    }
+
+
+async def collect_lakehouse(
+    client: httpx.AsyncClient,
+    containers: list[dict],
+    log: TerminalLogFn | None = None,
+) -> dict[str, Any]:
+    await _log(log, "info", "fetch", "▸ Lakehouse (Trino, Spark, Kafka Connect)")
+    trino_info = await _get_json(client, f"{TRINO_URL}/v1/info", log, "Trino /v1/info")
+    running = sum(1 for c in containers if c.get("state") == "running")
+    for c in containers:
+        ports = ",".join(str(p.get("PublicPort")) for p in c.get("ports", []) if p.get("PublicPort")) or "internal"
+        await _log(log, "info", "fetch", f"  · {c.get('name')}: {c.get('state')} ports={ports}")
+    return {
+        "host": LAKEHOUSE_HOST,
+        "trino_url": TRINO_URL,
+        "trino_ok": trino_info is not None,
+        "trino_version": (trino_info or {}).get("nodeVersion", {}).get("version"),
+        "trino_uptime": (trino_info or {}).get("uptime"),
+        "trino_coordinator": (trino_info or {}).get("coordinator"),
+        "spark_ui_url": SPARK_UI_URL,
+        "kafka_connect_url": KAFKA_CONNECT_URL,
+        "containers": _container_rows(containers, LAKEHOUSE_HOST),
+        "running": running,
+        "total": len(containers),
+    }
+
+
+async def collect_databases(
+    client: httpx.AsyncClient,
+    containers: list[dict],
+    log: TerminalLogFn | None = None,
+) -> dict[str, Any]:
+    await _log(log, "info", "fetch", "▸ Database vault (Dockhand env 5)")
+    running = sum(1 for c in containers if c.get("state") == "running")
+    rows = _container_rows(containers)
+    by_engine: dict[str, list[str]] = {}
+    for r in rows:
+        img = (r.get("image") or "").lower()
+        name = (r.get("name") or "").lower()
+        if "postgres" in img or "postgres" in name:
+            engine = "PostgreSQL"
+        elif "mysql" in img or "mysql" in name:
+            engine = "MySQL"
+        elif "mongo" in img or "mongo" in name:
+            engine = "MongoDB"
+        elif "cassandra" in img or "cassandra" in name:
+            engine = "Cassandra"
+        elif "neo4j" in img or "neo4j" in name:
+            engine = "Neo4j"
+        else:
+            engine = "Other"
+        port_str = ",".join(r["ports"]) or "internal"
+        by_engine.setdefault(engine, []).append(f"{r['name']} ({r['state']}, ports {port_str})")
+        await _log(log, "info", "fetch", f"  · {r['name']}: {r['state']} [{engine}] ports={port_str}")
+
+    return {
+        "dockhand_env": 5,
+        "running": running,
+        "total": len(containers),
+        "containers": rows,
+        "by_engine": by_engine,
+    }
+
+
+async def collect_docker_rack(
+    client: httpx.AsyncClient,
+    containers: list[dict],
+    log: TerminalLogFn | None = None,
+) -> dict[str, Any]:
+    await _log(log, "info", "fetch", "▸ Docker rack (Dockhand env 1)")
+    running = sum(1 for c in containers if c.get("state") == "running")
+    not_running = [c["name"] for c in containers if c.get("state") != "running"]
+    for c in containers:
+        ports = ",".join(str(p.get("PublicPort")) for p in c.get("ports", []) if p.get("PublicPort")) or "internal"
+        lvl = "info" if c.get("state") == "running" else "warn"
+        await _log(log, lvl, "fetch", f"  · {c.get('name')}: {c.get('state')} ports={ports}")
+    return {
+        "dockhand_url": DOCKHAND_URL,
+        "dockhand_env": 1,
+        "running": running,
+        "total": len(containers),
+        "not_running": not_running,
+        "containers": _container_rows(containers, "10.0.21.45"),
+    }
+
+
+async def collect_gpu_metrics(client: httpx.AsyncClient, log: TerminalLogFn | None = None) -> dict[str, Any]:
+    await _log(log, "info", "fetch", "▸ GPU Lab metrics")
+    base = {"ok": False, "host": GPU_URL, "ui_url": GPU_URL}
+    try:
+        metrics_url = f"{GPU_URL}/api/gpu/metrics"
+        model_url = f"{GPU_URL}/api/active-model"
+        await _log(log, "cmd", "fetch", f"$ GET {metrics_url}")
+        await _log(log, "cmd", "fetch", f"$ GET {model_url}")
+        t0 = time.monotonic()
+        metrics_r, model_r = await asyncio.gather(
+            client.get(metrics_url),
+            client.get(model_url),
+            return_exceptions=True,
+        )
+        ms = int((time.monotonic() - t0) * 1000)
+        gpus: list[dict[str, Any]] = []
+        if isinstance(metrics_r, httpx.Response) and metrics_r.status_code == 200:
+            current = metrics_r.json().get("current", {})
+            gpus = [
+                {
+                    "index": g["index"],
+                    "name": g["name"],
+                    "util_gpu": g.get("util_gpu", 0),
+                    "memory_used_mib": g.get("memory_used_mib", 0),
+                    "memory_total_mib": g.get("memory_total_mib", 0),
+                    "temperature_c": g.get("temperature_c", 0),
+                    "power_w": g.get("power_w", 0),
+                }
+                for g in current.get("gpus", [])
+            ]
+            await _log(log, "ok", "fetch", f"← GPU metrics: {len(gpus)} devices ({ms}ms)")
+            for g in gpus:
+                await _log(
+                    log, "info", "fetch",
+                    f"  GPU{g['index']}: util {g['util_gpu']:.0f}% VRAM "
+                    f"{g['memory_used_mib']:.0f}/{g['memory_total_mib']:.0f} MiB",
+                )
+
+        active_model = None
+        inference_active = False
+        vllm_url = None
+        if isinstance(model_r, httpx.Response) and model_r.status_code == 200:
+            model_data = model_r.json()
+            active_model = model_data.get("name")
+            inference_active = bool(model_data.get("inference_active"))
+            vllm_url = model_data.get("base_url")
+            await _log(log, "ok", "fetch", f"← Active model: {active_model} inference={'ON' if inference_active else 'OFF'}")
+
+        return {
+            **base,
+            "ok": len(gpus) > 0 or inference_active,
+            "inference_active": inference_active,
+            "active_model": active_model,
+            "vllm_url": vllm_url,
+            "gpu_count": len(gpus),
+            "gpus": gpus,
+        }
+    except Exception as exc:
+        await _log(log, "err", "fetch", f"✗ GPU Lab: {exc}")
+        return {**base, "error": str(exc)}
+
+
+def _section_docker(d: dict[str, Any]) -> list[str]:
+    lines = [
+        f"Docker rack (Dockhand env 1): {d['running']}/{d['total']} running",
+        f"Dockhand: {d['dockhand_url']}",
+    ]
+    if d.get("not_running"):
+        lines.append(f"Not running: {', '.join(d['not_running'])}")
+    for c in d.get("containers", []):
+        port_str = ",".join(c["ports"]) if c["ports"] else "internal"
+        lines.append(f"  - {c['name']}: {c['state']} | {c['image']} | ports {port_str}")
+    return lines
+
+
+def _section_databases(d: dict[str, Any]) -> list[str]:
+    lines = [f"Databases (Dockhand env {d['dockhand_env']}): {d['running']}/{d['total']} running"]
+    for engine, items in d.get("by_engine", {}).items():
+        lines.append(f"  {engine}:")
+        for item in items:
+            lines.append(f"    - {item}")
+    return lines
+
+
+def _section_lakehouse(d: dict[str, Any]) -> list[str]:
+    lines = [
+        f"Lakehouse host: {d['host']} — {d['running']}/{d['total']} containers running",
+        f"Trino: {d['trino_url']} — {'UP' if d['trino_ok'] else 'DOWN'}"
+        + (f" (v{d['trino_version']}, uptime {d.get('trino_uptime')})" if d.get("trino_ok") else ""),
+        f"Spark UI: {d['spark_ui_url']}",
+        f"Kafka Connect: {d['kafka_connect_url']}",
+    ]
+    for c in d.get("containers", []):
+        port_str = ",".join(c["ports"]) if c["ports"] else "internal"
+        lines.append(f"  - {c['name']}: {c['state']} | {c['image']} | ports {port_str}")
+    return lines
+
+
+def _section_etl(d: dict[str, Any]) -> list[str]:
+    lines = [
+        f"Airflow ({d['airflow_url']}): {'HEALTHY' if d['airflow_healthy'] else 'DEGRADED'}",
+    ]
+    for comp, st in d.get("airflow_components", {}).items():
+        lines.append(f"  - {comp}: {st}")
+    lines.append(f"Kafka UI ({d['kafka_ui_url']}): {'UP' if d['kafka_ui_ok'] else 'DOWN'}")
+    lines.append(f"Kafka Connect ({d['kafka_connect_url']}): connectors {d.get('connectors') or 'none listed'}")
+    if d.get("connectors"):
+        lines.append("  Registered connector names (exact): " + ", ".join(d["connectors"]))
+    lines.append(f"Spark UI ({d['spark_ui_url']}): {'UP' if d['spark_ui_ok'] else 'DOWN'}")
+    return lines
+
+
+def _section_hadoop(h: dict[str, Any]) -> list[str]:
+    lines = ["HDFS / Hadoop:"]
+    if not h.get("reachable"):
+        lines.append(f"  UNREACHABLE: {h.get('error', 'NameNode probe failed')}")
+        return lines
+    lines.extend([
+        f"  NameNode: {h['namenode']} ({h.get('hostname')}, HA {h.get('ha_state')})",
+        f"  Version: {h.get('hdfs_version')}, safemode: {h.get('safemode')}",
+        f"  Capacity: {h.get('capacity_used_gb')} GB used / {h.get('capacity_total_gb')} GB total "
+        f"({h.get('capacity_remaining_gb')} GB free, {h.get('percent_used', 0)}% used)",
+        f"  Files: {h.get('files_total')}, Blocks: {h.get('blocks_total')}",
+        f"  DataNodes: {h.get('live_datanodes')} live, {h.get('dead_datanodes')} dead",
+        f"  Replication factor (dfs.replication): {h.get('default_replication_factor')}",
+        f"  Block health: missing={h.get('missing_blocks')}, under-replicated={h.get('under_replicated_blocks')}, corrupt={h.get('corrupt_blocks')}",
+    ])
+    for dn in h.get("datanodes", []):
+        lines.append(
+            f"    - {dn['host']}: {dn['used_gb']} GB / {dn['capacity_gb']} GB, {dn['blocks']} blocks, {dn['state']}"
+        )
+    if (h.get("capacity_used_gb") or 0) < 0.01 and (h.get("files_total") or 0) > 0:
+        lines.append("  Note: metadata/small files only — almost no user data stored yet.")
+    return lines
+
+
+def _section_gpu(g: dict[str, Any]) -> list[str]:
+    lines = ["GPU Lab / vLLM inference:"]
+    if not g.get("ok"):
+        lines.append(f"  OFFLINE: {g.get('error', 'unreachable')}")
+        return lines
+    lines.extend([
+        f"  Manager: {g.get('ui_url')}",
+        f"  Model: {g.get('active_model')} (inference {'ON' if g.get('inference_active') else 'OFF'})",
+        f"  vLLM endpoint: {g.get('vllm_url')}",
+        f"  GPUs: {g.get('gpu_count')}x V100",
+    ])
+    for gpu in g.get("gpus", []):
+        lines.append(
+            f"    GPU{gpu['index']}: util {gpu['util_gpu']:.0f}%, "
+            f"VRAM {gpu['memory_used_mib']:.0f}/{gpu['memory_total_mib']:.0f} MiB, "
+            f"{gpu['temperature_c']}°C, {gpu['power_w']:.0f}W"
+        )
+    return lines
+
+
+SECTION_BUILDERS = {
+    "docker": _section_docker,
+    "databases": _section_databases,
+    "lakehouse": _section_lakehouse,
+    "etl": _section_etl,
+    "hadoop": _section_hadoop,
+    "gpu": _section_gpu,
+}
+
+DOMAIN_ORDER = ["docker", "databases", "lakehouse", "etl", "hadoop", "gpu"]
+
+
+async def collect_full_lab_context(
+    gpu_data: dict[str, Any] | None = None,
+    log: TerminalLogFn | None = None,
+) -> dict[str, Any]:
+    """Gather all lab domains in parallel with optional live terminal logging."""
+    await _log(log, "info", "fetch", "═══ Lab snapshot collection started ═══")
+    async with httpx.AsyncClient(timeout=10.0, verify=False) as client:
+        if gpu_data is None:
+            gpu_data = await collect_gpu_metrics(client, log)
+
+        docker_raw, db_raw, lake_raw, hdfs, etl = await asyncio.gather(
+            dockhand_containers(client, 1, log),
+            dockhand_containers(client, 5, log),
+            dockhand_containers(client, 9, log),
+            collect_hdfs(client, log),
+            collect_etl(client, log),
+        )
+        docker = await collect_docker_rack(client, docker_raw, log)
+        databases = await collect_databases(client, db_raw, log)
+        lakehouse = await collect_lakehouse(client, lake_raw, log)
+
+    await _log(log, "ok", "fetch", "═══ Lab snapshot complete ═══")
+    return {
+        "ts": datetime.now(timezone.utc).isoformat(),
+        "docker": docker,
+        "databases": databases,
+        "lakehouse": lakehouse,
+        "etl": etl,
+        "hadoop": hdfs,
+        "gpu": gpu_data,
+    }
+
+
+def format_context_for_agent(agent_id: str, snapshot: dict[str, Any]) -> str:
+    """Format full lab snapshot for LLM; primary domain first."""
+    primary = AGENT_PRIMARY_DOMAIN.get(agent_id, "docker")
+    lines = [
+        f"ATC Lab live snapshot — {snapshot.get('ts')}",
+        f"Your primary domain: {primary.upper()}",
+    ]
+    if snapshot.get("domains_summary"):
+        lines.append(f"Health summary: {json.dumps(snapshot['domains_summary'], default=str)}")
+    lines.extend(["", f"=== PRIMARY: {primary.upper()} ==="])
+
+    if primary in snapshot and primary in SECTION_BUILDERS:
+        lines.extend(SECTION_BUILDERS[primary](snapshot[primary]))
+    lines.append("")
+    lines.append("=== FULL LAB (all domains) ===")
+
+    for domain in DOMAIN_ORDER:
+        if domain == primary:
+            continue
+        if domain not in snapshot or domain not in SECTION_BUILDERS:
+            continue
+        lines.append("")
+        lines.append(f"--- {domain.upper()} ---")
+        lines.extend(SECTION_BUILDERS[domain](snapshot[domain]))
+
+    return "\n".join(lines)

main.py

@@ -0,0 +1,662 @@
+"""ATC Command Center API — FastAPI backend."""
+
+from __future__ import annotations
+
+import asyncio
+import json
+import os
+import time
+import uuid
+from contextlib import asynccontextmanager
+from datetime import datetime, timezone
+from typing import Any
+
+import httpx
+import redis.asyncio as aioredis
+from fastapi import FastAPI, WebSocket, WebSocketDisconnect
+from fastapi.middleware.cors import CORSMiddleware
+from agent_terminal import (
+    get_all_terminals,
+    get_terminal_lines,
+    init_terminals,
+    make_logger,
+    set_terminal_publisher,
+    terminal_log,
+)
+from lab_context import collect_full_lab_context, format_context_for_agent
+from workload import build_workload_payload
+from pydantic import BaseModel, Field
+from sqlalchemy import Column, DateTime, String, Text, create_engine, select
+from sqlalchemy.orm import DeclarativeBase, Session, sessionmaker
+
+REDIS_URL = os.getenv("REDIS_URL", "redis://redis:6379/0")
+DOCKHAND_URL = os.getenv("DOCKHAND_URL", "http://10.0.21.45:8082")
+DATABASE_URL = os.getenv("DATABASE_URL", "sqlite:////data/atc-agents.db")
+GPU_URL = os.getenv("GPU_URL", "http://10.0.20.106:9000")
+GPU_UI_URL = os.getenv("GPU_UI_URL", GPU_URL)
+LLM_URL = os.getenv("LLM_URL", "http://10.0.20.106:8001/v1")
+LLM_MODEL = os.getenv("LLM_MODEL", "qwen2.5-32b-gptq")
+LLM_API_KEY = os.getenv("LLM_API_KEY", "sk-local")
+LLM_TIMEOUT = float(os.getenv("LLM_TIMEOUT", "120"))
+
+AGENTS = [
+    {
+        "id": "etl-guardian",
+        "name": "ETL Guardian",
+        "color": "#00f0ff",
+        "zone": "etl",
+        "role": "Airflow, Kafka, Debezium, S3 pipeline",
+        "icon": "⚡",
+        "motto": "Pipelines never sleep",
+        "capabilities": ["Airflow", "Kafka", "Debezium", "S3", "Connectors"],
+        "suggested_prompts": [
+            "Hoe staat Debezium er voor?",
+            "Zijn alle Airflow DAGs healthy?",
+            "Kafka connector status?",
+        ],
+    },
+    {
+        "id": "lakehouse-ops",
+        "name": "Lakehouse Ops",
+        "color": "#ff00aa",
+        "zone": "lakehouse",
+        "role": "Spark, Trino, Iceberg",
+        "icon": "🏔️",
+        "motto": "Query the lake, trust the table",
+        "capabilities": ["Spark", "Trino", "Iceberg", "Delta", "SQL"],
+        "suggested_prompts": [
+            "Lakehouse stack status?",
+            "Is Trino bereikbaar?",
+            "Hoeveel lakehouse containers draaien?",
+        ],
+    },
+    {
+        "id": "data-custodian",
+        "name": "Data Custodian",
+        "color": "#ffaa00",
+        "zone": "db",
+        "role": "PostgreSQL, MySQL, Mongo, Cassandra, Neo4j",
+        "icon": "🛡️",
+        "motto": "Guardian of every row",
+        "capabilities": ["PostgreSQL", "MySQL", "MongoDB", "Cassandra", "Neo4j"],
+        "suggested_prompts": [
+            "Database containers status?",
+            "Welke DB's draaien niet?",
+            "Postgres health check",
+        ],
+    },
+    {
+        "id": "hadoop-ranger",
+        "name": "Hadoop Ranger",
+        "color": "#39ff14",
+        "zone": "hadoop",
+        "role": "HDFS, YARN cluster",
+        "icon": "🌲",
+        "motto": "Patrol the data forest",
+        "capabilities": ["HDFS", "YARN", "NameNode", "DataNodes"],
+        "suggested_prompts": [
+            "Is HDFS NameNode up?",
+            "Hadoop cluster status?",
+            "YARN nodes healthy?",
+        ],
+    },
+    {
+        "id": "infra-sentinel",
+        "name": "Infra Sentinel",
+        "color": "#b366ff",
+        "zone": "docker",
+        "role": "Docker, Proxmox, GPU, monitoring",
+        "icon": "👁️",
+        "motto": "See everything, miss nothing",
+        "capabilities": ["Docker", "Proxmox", "GPU", "vLLM", "Monitoring"],
+        "suggested_prompts": [
+            "Hoe staat de GPU?",
+            "Welk LLM model draait er?",
+            "Docker containers overzicht",
+        ],
+    },
+]
+
+ZONES = [
+    {"id": "docker", "label": "DOCKER RACK", "x": 8, "color": "#b366ff"},
+    {"id": "db", "label": "DB VAULT", "x": 28, "color": "#ffaa00"},
+    {"id": "lakehouse", "label": "LAKEHOUSE HUB", "x": 50, "color": "#ff00aa"},
+    {"id": "hadoop", "label": "HADOOP CLUSTER", "x": 72, "color": "#39ff14"},
+    {"id": "etl", "label": "ETL PIPE", "x": 92, "color": "#00f0ff"},
+]
+
+INTENT_KEYWORDS: dict[str, list[str]] = {
+    "data-custodian": ["database", "postgres", "postgresql", "mysql", "mongo", "mongodb", "cassandra", "neo4j", "sql", "db "],
+    "lakehouse-ops": ["trino", "spark", "lakehouse", "iceberg", "query", "table"],
+    "hadoop-ranger": [
+        "hadoop", "hdfs", "yarn", "datanode", "namenode", "replicatie", "replication",
+        "rf factor", "opslag", "bestanden", "blocks", "cluster opslag", "data op",
+    ],
+    "infra-sentinel": ["docker", "container", "vm", "proxmox", "infra", "grafana", "gpu", "vllm", "llm", "nvidia", "inference", "model"],
+    "etl-guardian": ["airflow", "dag", "debezium", "kafka", "connector", "etl", "pipeline", "s3"],
+}
+
+
+class Base(DeclarativeBase):
+    pass
+
+
+class FeedEntry(Base):
+    __tablename__ = "feed"
+
+    id = Column(String, primary_key=True)
+    ts = Column(DateTime, default=lambda: datetime.now(timezone.utc))
+    agent_id = Column(String)
+    level = Column(String, default="info")
+    message = Column(Text)
+
+
+class Approval(Base):
+    __tablename__ = "approvals"
+
+    id = Column(String, primary_key=True)
+    ts = Column(DateTime, default=lambda: datetime.now(timezone.utc))
+    agent_id = Column(String)
+    action = Column(Text)
+    reason = Column(Text)
+    status = Column(String, default="pending")
+
+
+engine = create_engine(DATABASE_URL, connect_args={"check_same_thread": False})
+SessionLocal = sessionmaker(bind=engine)
+Base.metadata.create_all(engine)
+
+redis_client: aioredis.Redis | None = None
+ws_clients: set[WebSocket] = set()
+
+
+class PromptRequest(BaseModel):
+    message: str = Field(min_length=1, max_length=2000)
+    agent_id: str | None = None
+
+
+class ApprovalDecision(BaseModel):
+    approved: bool
+
+
+def route_agent(message: str) -> str:
+    lower = message.lower()
+    # Storage/data questions default to Hadoop unless clearly about databases
+    if any(w in lower for w in ("data", "opslag", "gb", "replicatie", "replication", "hdfs", "hadoop")):
+        if not any(w in lower for w in ("postgres", "mysql", "mongo", "database", "sql", "neo4j", "cassandra")):
+            return "hadoop-ranger"
+    scores = {aid: sum(1 for kw in kws if kw in lower) for aid, kws in INTENT_KEYWORDS.items()}
+    best = max(scores, key=scores.get)
+    if scores[best] == 0:
+        return "infra-sentinel"
+    return best
+
+
+async def gather_agent_context(
+    agent_id: str,
+    status: dict[str, Any],
+    log: Any | None = None,
+) -> str:
+    """Full lab snapshot for vLLM — all domains, agent's primary domain highlighted."""
+    snapshot = await collect_full_lab_context(gpu_data=status.get("gpu"), log=log)
+    snapshot["domains_summary"] = status.get("domains", {})
+    ctx = format_context_for_agent(agent_id, snapshot)
+    if log:
+        await log("info", "fetch", f"▸ Context assembled: {len(ctx)} chars for LLM")
+    return ctx
+
+
+async def ask_llm(
+    agent_id: str,
+    message: str,
+    context: str,
+    log: Any | None = None,
+) -> str | None:
+    agent = next(a for a in AGENTS if a["id"] == agent_id)
+    system = f"""Je bent {agent['name']}, een autonomous ops agent in het Dell ATC data lab.
+Specialisatie: {agent['role']}.
+Motto: {agent.get('motto', '')}
+
+Je antwoordt namens je domein maar hebt zicht op de HELE lab stack: Docker, databases, lakehouse (Trino/Spark/Kafka Connect), ETL (Airflow/Kafka), Hadoop HDFS, en GPU/vLLM.
+
+Regels:
+- Antwoord in dezelfde taal als de gebruiker (Nederlands of Engels).
+- Gebruik ALLEEN de live data hieronder — verzin geen hosts, poorten, cijfers of connector namen.
+- Gebruik exact de container/connector namen uit de data (bijv. mysql-hr-connector, niet "Debezium").
+- Als iets DOWN of 0 GB is, zeg dat eerlijk.
+- Kort en behulpzaam (max ~10 zinnen); bullet lists mogen als het overzicht helpt.
+
+--- LIVE LAB DATA (primary domain eerst, daarna volledige stack) ---
+{context}
+"""
+    if log:
+        await log("info", "llm", f"▸ Querying vLLM model={LLM_MODEL}")
+        await log("cmd", "llm", f"$ POST {LLM_URL.rstrip('/')}/chat/completions")
+        await log("info", "llm", f"  user: {message[:160]}{'…' if len(message) > 160 else ''}")
+    try:
+        async with httpx.AsyncClient(timeout=LLM_TIMEOUT) as client:
+            t0 = time.monotonic()
+            r = await client.post(
+                f"{LLM_URL.rstrip('/')}/chat/completions",
+                headers={
+                    "Authorization": f"Bearer {LLM_API_KEY}",
+                    "Content-Type": "application/json",
+                },
+                json={
+                    "model": LLM_MODEL,
+                    "messages": [
+                        {"role": "system", "content": system},
+                        {"role": "user", "content": message},
+                    ],
+                    "max_tokens": 800,
+                    "temperature": 0.25,
+                },
+            )
+            r.raise_for_status()
+            content = r.json()["choices"][0]["message"]["content"].strip()
+            ms = int((time.monotonic() - t0) * 1000)
+            if content and content.strip("!"):
+                if log:
+                    await log("ok", "llm", f"← vLLM response {len(content)} chars ({ms}ms)")
+                    preview = content.replace("\n", " ")[:180]
+                    await log("info", "llm", f"  » {preview}{'…' if len(content) > 180 else ''}")
+                return content
+            if log:
+                await log("warn", "llm", f"← Empty or invalid LLM output ({ms}ms)")
+    except Exception as exc:
+        if log:
+            await log("err", "llm", f"✗ vLLM error: {exc}")
+    return None
+
+
+def fallback_answer(agent_id: str, context: str) -> str:
+    agent_name = next(a["name"] for a in AGENTS if a["id"] == agent_id)
+    return f"**{agent_name}** (offline LLM — ruwe data):\n\n{context}"
+
+
+async def publish_event(event: dict[str, Any]) -> None:
+    payload = json.dumps(event, default=str)
+    if redis_client:
+        await redis_client.publish("ops", payload)
+    dead = []
+    for ws in ws_clients:
+        try:
+            await ws.send_text(payload)
+        except Exception:
+            dead.append(ws)
+    for ws in dead:
+        ws_clients.discard(ws)
+
+
+def add_feed(agent_id: str, message: str, level: str = "info") -> dict:
+    entry_id = str(uuid.uuid4())[:8]
+    with SessionLocal() as db:
+        row = FeedEntry(id=entry_id, agent_id=agent_id, message=message, level=level)
+        db.add(row)
+        db.commit()
+    return {
+        "id": entry_id,
+        "ts": datetime.now(timezone.utc).isoformat(),
+        "agent_id": agent_id,
+        "message": message,
+        "level": level,
+    }
+
+
+async def dockhand_env_containers(env_id: int) -> list[dict]:
+    try:
+        async with httpx.AsyncClient(timeout=8.0) as client:
+            r = await client.get(f"{DOCKHAND_URL}/api/containers", params={"env": env_id})
+            r.raise_for_status()
+            return r.json()
+    except Exception:
+        return []
+
+
+async def probe_url(url: str) -> bool:
+    try:
+        async with httpx.AsyncClient(timeout=4.0, verify=False) as client:
+            r = await client.get(url)
+            return r.status_code < 500
+    except Exception:
+        return False
+
+
+async def collect_gpu() -> dict[str, Any]:
+    host = GPU_URL.replace("http://", "").replace("https://", "").split("/")[0]
+    base = {"ok": False, "host": host, "ui_url": GPU_UI_URL}
+
+    try:
+        async with httpx.AsyncClient(timeout=6.0) as client:
+            metrics_r, model_r, integration_r = await asyncio.gather(
+                client.get(f"{GPU_URL}/api/gpu/metrics"),
+                client.get(f"{GPU_URL}/api/active-model"),
+                client.get(f"{GPU_URL}/api/integration"),
+                return_exceptions=True,
+            )
+
+            gpus: list[dict[str, Any]] = []
+            if isinstance(metrics_r, httpx.Response) and metrics_r.status_code == 200:
+                current = metrics_r.json().get("current", {})
+                gpus = [
+                    {
+                        "index": g["index"],
+                        "name": g["name"],
+                        "util_gpu": g.get("util_gpu", 0),
+                        "memory_used_mib": g.get("memory_used_mib", 0),
+                        "memory_total_mib": g.get("memory_total_mib", 0),
+                        "temperature_c": g.get("temperature_c", 0),
+                        "power_w": g.get("power_w", 0),
+                    }
+                    for g in current.get("gpus", [])
+                ]
+
+            active_model = None
+            inference_active = False
+            vllm_url = None
+
+            if isinstance(model_r, httpx.Response) and model_r.status_code == 200:
+                model_data = model_r.json()
+                active_model = model_data.get("name")
+                inference_active = bool(model_data.get("inference_active"))
+                vllm_url = model_data.get("base_url")
+
+            if isinstance(integration_r, httpx.Response) and integration_r.status_code == 200:
+                integ = integration_r.json()
+                if not active_model:
+                    active_model = integ.get("active_name")
+                if not inference_active:
+                    inference_active = bool(integ.get("inference_active"))
+                if not vllm_url:
+                    vllm_url = integ.get("recommended_base_url")
+
+            return {
+                **base,
+                "ok": len(gpus) > 0 or inference_active,
+                "inference_active": inference_active,
+                "active_model": active_model,
+                "vllm_url": vllm_url,
+                "gpu_count": len(gpus),
+                "gpus": gpus,
+            }
+    except Exception as exc:
+        return {**base, "error": str(exc)}
+
+
+async def collect_status() -> dict[str, Any]:
+    db_containers = await dockhand_env_containers(5)
+    db_running = sum(1 for c in db_containers if c.get("state") == "running")
+    db_total = len(db_containers) or 6
+
+    lake_containers = await dockhand_env_containers(9)
+    lake_running = sum(1 for c in lake_containers if c.get("state") == "running")
+    lake_total = len(lake_containers) or 6
+
+    docker_containers = await dockhand_env_containers(1)
+    docker_running = sum(1 for c in docker_containers if c.get("state") == "running")
+
+    hdfs_ok = await probe_url("http://10.0.21.61:9870")
+    kafka_ok = await probe_url("http://10.0.21.36:9000")
+    airflow_ok = await probe_url("http://10.0.21.55:8080")
+
+    def level(running: int, total: int) -> str:
+        if total == 0:
+            return "unknown"
+        ratio = running / total
+        if ratio >= 0.9:
+            return "ok"
+        if ratio >= 0.5:
+            return "warn"
+        return "down"
+
+    gpu = await collect_gpu()
+    gpu_level = "ok" if gpu.get("ok") and gpu.get("inference_active") else ("warn" if gpu.get("ok") else "down")
+    gpu_label = gpu.get("active_model") or (f"{gpu.get('gpu_count', 0)} GPUs" if gpu.get("ok") else "offline")
+
+    return {
+        "ts": datetime.now(timezone.utc).isoformat(),
+        "domains": {
+            "docker": {"level": "ok" if docker_running >= 5 else "warn", "label": f"{docker_running} containers", "running": docker_running},
+            "databases": {"level": level(db_running, db_total), "label": f"{db_running}/{db_total} up", "running": db_running, "total": db_total},
+            "lakehouse": {"level": level(lake_running, lake_total), "label": f"{lake_running}/{lake_total} up", "running": lake_running, "total": lake_total},
+            "hadoop": {"level": "ok" if hdfs_ok else "warn", "label": "NN up" if hdfs_ok else "NN check"},
+            "etl": {"level": "ok" if kafka_ok and airflow_ok else "warn", "label": "Kafka+Airflow"},
+            "gpu": {"level": gpu_level, "label": gpu_label},
+        },
+        "gpu": gpu,
+        "kafka_ok": kafka_ok,
+        "airflow_ok": airflow_ok,
+        "hdfs_ok": hdfs_ok,
+    }
+
+
+async def run_agent_task(agent_id: str, message: str, prompt_id: str) -> str:
+    zone = next(a["zone"] for a in AGENTS if a["id"] == agent_id)
+    agent_name = next(a["name"] for a in AGENTS if a["id"] == agent_id)
+    log = make_logger(agent_id, prompt_id)
+
+    await terminal_log(
+        agent_id,
+        f"[{prompt_id}] ▶ Mission accepted: {message}",
+        level="info",
+        phase="dispatch",
+        prompt_id=prompt_id,
+    )
+    await publish_event({"type": "agent_dispatch", "agent_id": agent_id, "zone": zone, "prompt_id": prompt_id})
+    await asyncio.sleep(0.4)
+    await terminal_log(agent_id, f"[{prompt_id}] Walking to zone: {zone}", level="info", phase="dispatch", prompt_id=prompt_id)
+    await publish_event({"type": "agent_fetch", "agent_id": agent_id, "zone": zone, "prompt_id": prompt_id})
+
+    await log("info", "fetch", f"[{prompt_id}] Collecting live lab metrics…")
+    status = await collect_status()
+    context = await gather_agent_context(agent_id, status, log=log)
+
+    answer = await ask_llm(agent_id, message, context, log=log)
+    if not answer:
+        await log("warn", "llm", "LLM fallback — returning raw context")
+        answer = fallback_answer(agent_id, context)
+
+    await asyncio.sleep(0.3)
+    await terminal_log(agent_id, f"[{prompt_id}] ✓ Mission complete", level="ok", phase="done", prompt_id=prompt_id)
+    await publish_event({"type": "agent_return", "agent_id": agent_id, "zone": zone, "prompt_id": prompt_id})
+    feed = add_feed(agent_id, f"{agent_name} answered: {message[:60]}", "info")
+    await publish_event({"type": "feed", "entry": feed})
+    await publish_event({"type": "prompt_result", "prompt_id": prompt_id, "agent_id": agent_id, "answer": answer})
+    return answer
+
+
+async def heartbeat_loop() -> None:
+    while True:
+        try:
+            status = await collect_status()
+            workload = await collect_workload()
+            await publish_event({"type": "status", "data": status})
+            await publish_event({"type": "workload", "data": workload})
+            for domain, info in status["domains"].items():
+                if info["level"] == "down":
+                    agent = "data-custodian" if domain == "databases" else "infra-sentinel"
+                    feed = add_feed(agent, f"Alert: {domain} is DOWN ({info['label']})", "warn")
+                    await publish_event({"type": "feed", "entry": feed})
+        except Exception as exc:
+            await publish_event({"type": "error", "message": str(exc)})
+        await asyncio.sleep(60)
+
+
+@asynccontextmanager
+async def lifespan(app: FastAPI):
+    global redis_client
+    redis_client = aioredis.from_url(REDIS_URL, decode_responses=True)
+    set_terminal_publisher(publish_event)
+    init_terminals([a["id"] for a in AGENTS])
+    for a in AGENTS:
+        await terminal_log(a["id"], f"{a['name']} terminal online — awaiting missions", level="info", phase="boot")
+    task = asyncio.create_task(heartbeat_loop())
+    add_feed("infra-sentinel", "ATC Command Center API online", "info")
+    yield
+    task.cancel()
+    if redis_client:
+        await redis_client.close()
+
+
+app = FastAPI(title="ATC Command Center API", lifespan=lifespan)
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["*"],
+    allow_credentials=True,
+    allow_methods=["*"],
+    allow_headers=["*"],
+)
+
+
+@app.get("/api/health")
+async def health():
+    llm_ok = False
+    try:
+        async with httpx.AsyncClient(timeout=4.0) as client:
+            r = await client.get(f"{LLM_URL.rstrip('/')}/models", headers={"Authorization": f"Bearer {LLM_API_KEY}"})
+            llm_ok = r.status_code == 200
+    except Exception:
+        pass
+    return {"ok": True, "ts": datetime.now(timezone.utc).isoformat(), "llm_url": LLM_URL, "llm_ok": llm_ok, "llm_model": LLM_MODEL}
+
+
+async def collect_workload() -> dict[str, Any]:
+    gpu = await collect_gpu()
+    snap = await collect_full_lab_context(gpu_data=gpu)
+    return build_workload_payload(snap)
+
+
+@app.get("/api/workload")
+async def get_workload():
+    return await collect_workload()
+
+
+@app.get("/api/status")
+async def get_status():
+    return await collect_status()
+
+
+@app.get("/api/gpu")
+async def get_gpu():
+    return await collect_gpu()
+
+
+def agent_stats() -> dict[str, dict[str, Any]]:
+    stats: dict[str, dict[str, Any]] = {a["id"]: {"tasks": 0, "last_active": None, "alerts": 0} for a in AGENTS}
+    with SessionLocal() as db:
+        rows = db.execute(select(FeedEntry).order_by(FeedEntry.ts.desc()).limit(200)).scalars().all()
+    for r in rows:
+        aid = r.agent_id
+        if aid not in stats:
+            continue
+        stats[aid]["tasks"] += 1
+        if r.level == "warn":
+            stats[aid]["alerts"] += 1
+        if stats[aid]["last_active"] is None and r.ts:
+            stats[aid]["last_active"] = r.ts.isoformat()
+    return stats
+
+
+@app.get("/api/agents")
+async def get_agents():
+    stats = agent_stats()
+    enriched = [{**a, "stats": stats.get(a["id"], {})} for a in AGENTS]
+    return {"agents": enriched, "zones": ZONES}
+
+
+@app.get("/api/terminals")
+async def get_terminals(limit: int = 200):
+    return {"terminals": get_all_terminals(limit)}
+
+
+@app.get("/api/terminals/{agent_id}")
+async def get_agent_terminal(agent_id: str, limit: int = 200):
+    valid = {a["id"] for a in AGENTS}
+    if agent_id not in valid:
+        return {"error": "unknown agent"}
+    return {"agent_id": agent_id, "lines": get_terminal_lines(agent_id, limit)}
+
+
+@app.get("/api/feed")
+async def get_feed(limit: int = 50):
+    with SessionLocal() as db:
+        rows = db.execute(select(FeedEntry).order_by(FeedEntry.ts.desc()).limit(limit)).scalars().all()
+    return {
+        "entries": [
+            {
+                "id": r.id,
+                "ts": r.ts.isoformat() if r.ts else None,
+                "agent_id": r.agent_id,
+                "message": r.message,
+                "level": r.level,
+            }
+            for r in rows
+        ]
+    }
+
+
+@app.get("/api/approvals")
+async def get_approvals():
+    with SessionLocal() as db:
+        rows = db.execute(select(Approval).where(Approval.status == "pending")).scalars().all()
+    return {
+        "approvals": [
+            {
+                "id": r.id,
+                "ts": r.ts.isoformat() if r.ts else None,
+                "agent_id": r.agent_id,
+                "action": r.action,
+                "reason": r.reason,
+                "status": r.status,
+            }
+            for r in rows
+        ]
+    }
+
+
+@app.post("/api/approvals/{approval_id}/decide")
+async def decide_approval(approval_id: str, body: ApprovalDecision):
+    with SessionLocal() as db:
+        row = db.get(Approval, approval_id)
+        if not row:
+            return {"error": "not found"}
+        row.status = "approved" if body.approved else "denied"
+        db.commit()
+        agent_id = row.agent_id
+        action = row.action
+    msg = f"Approval {'approved' if body.approved else 'denied'}: {action}"
+    feed = add_feed(agent_id, msg, "info" if body.approved else "warn")
+    await publish_event({"type": "feed", "entry": feed})
+    await publish_event({"type": "approval_update", "id": approval_id, "status": row.status})
+    return {"ok": True, "status": row.status}
+
+
+@app.post("/api/prompt")
+async def post_prompt(body: PromptRequest):
+    prompt_id = str(uuid.uuid4())[:8]
+    valid_ids = {a["id"] for a in AGENTS}
+    agent_id = body.agent_id if body.agent_id in valid_ids else route_agent(body.message)
+    add_feed(agent_id, f"Prompt received: {body.message}", "info")
+    asyncio.create_task(run_agent_task(agent_id, body.message, prompt_id))
+    return {"prompt_id": prompt_id, "agent_id": agent_id, "status": "dispatched"}
+
+
+@app.websocket("/api/ws/ops")
+async def ws_ops(websocket: WebSocket):
+    await websocket.accept()
+    ws_clients.add(websocket)
+    try:
+        status = await collect_status()
+        workload = await collect_workload()
+        await websocket.send_text(json.dumps({"type": "status", "data": status}, default=str))
+        await websocket.send_text(json.dumps({"type": "workload", "data": workload}, default=str))
+        await websocket.send_text(json.dumps({
+            "type": "terminal_history",
+            "terminals": get_all_terminals(150),
+        }, default=str))
+        while True:
+            await websocket.receive_text()
+    except WebSocketDisconnect:
+        pass
+    finally:
+        ws_clients.discard(websocket)

nginx.conf

@@ -0,0 +1,17 @@
+server {
+    listen 80;
+    root /usr/share/nginx/html;
+    index index.html;
+
+    location /api/ {
+        proxy_pass http://api:3201/api/;
+        proxy_http_version 1.1;
+        proxy_set_header Upgrade $http_upgrade;
+        proxy_set_header Connection "upgrade";
+        proxy_set_header Host $host;
+    }
+
+    location / {
+        try_files $uri $uri/ /index.html;
+    }
+}

package.json

@@ -0,0 +1,26 @@
+{
+  "name": "atc-command-center",
+  "private": true,
+  "version": "0.1.0",
+  "type": "module",
+  "scripts": {
+    "dev": "vite",
+    "build": "tsc -b && vite build",
+    "preview": "vite preview"
+  },
+  "dependencies": {
+    "framer-motion": "^11.15.0",
+    "react": "^18.3.1",
+    "react-dom": "^18.3.1"
+  },
+  "devDependencies": {
+    "@types/react": "^18.3.12",
+    "@types/react-dom": "^18.3.1",
+    "@vitejs/plugin-react": "^4.3.4",
+    "autoprefixer": "^10.4.20",
+    "postcss": "^8.4.49",
+    "tailwindcss": "^3.4.16",
+    "typescript": "^5.7.2",
+    "vite": "^6.0.3"
+  }
+}

postcss.config.js

@@ -0,0 +1,6 @@
+export default {
+  plugins: {
+    tailwindcss: {},
+    autoprefixer: {},
+  },
+}

requirements.txt

@@ -0,0 +1,9 @@
+fastapi==0.115.6
+uvicorn[standard]==0.34.0
+redis==5.2.1
+httpx==0.28.1
+sqlalchemy==2.0.36
+aiosqlite==0.20.0
+pydantic==2.10.4
+python-multipart==0.0.20
+websockets==14.1

scripts/deploy.sh

@@ -0,0 +1,7 @@
+#!/bin/bash
+# Deploy Command Center stack on VM304
+set -euo pipefail
+cd "$(dirname "$0")/.."
+[ -f .env ] || { echo "Create .env from config/command-center/.env.example"; exit 1; }
+docker compose --env-file .env up -d --build
+echo "OK — http://10.0.21.33/"

scripts/sync-gitea.sh

@@ -0,0 +1,80 @@
+#!/bin/bash
+# Sync Command Center + Data Quality to Gitea (run on VM304 as root)
+set -euo pipefail
+
+GITEA="http://atc-mgt01.dell-atc.lan:3001"
+AUTH="mo:Dell2026!"
+
+echo "==> Ensure atc-data-quality repo on Gitea"
+code=$(curl -s -o /dev/null -w "%{http_code}" -u "$AUTH" "$GITEA/api/v1/repos/mo/atc-data-quality")
+if [ "$code" = "404" ]; then
+  curl -s -u "$AUTH" -H "Content-Type: application/json" \
+    -d '{"name":"atc-data-quality","description":"ATC Data Quality + RAG APIs (Docling, ChromaDB, LangChain)","private":false,"auto_init":false}' \
+    "$GITEA/api/v1/user/repos"
+  echo "Created mo/atc-data-quality"
+fi
+
+echo "==> Init/push atc-data-quality"
+cd /opt/atc-data-quality
+if [ ! -d .git ]; then
+  git init
+  git config user.email "mo@dell-atc.lan"
+  git config user.name "mo"
+  git remote add origin "$GITEA/mo/atc-data-quality.git"
+fi
+cat > .gitignore <<'GI'
+__pycache__/
+*.pyc
+.env
+GI
+cat > README.md <<'MD'
+# ATC Data Quality + RAG
+
+| Service | Port (internal) | Route |
+|---------|-----------------|-------|
+| dq-api | 5010 | `/dq/*` |
+| rag-api | 5020 | `/rag/*` |
+
+Deploy with sibling repo `mo/atc-agents` — see `config/data-quality/README.md` there.
+MD
+git add -A
+git commit -m "Add DQ + RAG APIs with Docling, ChromaDB, persistent ingest" || true
+git push -u origin main 2>/dev/null || git push -u origin master 2>/dev/null || \
+  git branch -M main && git push -u origin main --force
+
+echo "==> Structure + push atc-agents"
+cd /opt/atc-agents
+mkdir -p config/command-center config/data-quality config/jupyter docs scripts
+cp docker-compose.yml config/command-center/
+cp caddy/Caddyfile config/command-center/
+cp config/command-center/.env.example config/command-center/.env.example 2>/dev/null || true
+
+cat > config/data-quality/README.md <<'MD'
+# Data Quality services
+
+Built from **`mo/atc-data-quality`** — clone to `/opt/atc-data-quality`.
+
+Docker compose build contexts:
+- `../atc-data-quality/dq-api`
+- `../atc-data-quality/rag-api`
+MD
+
+cat > config/jupyter/README.md <<'MD'
+# JupyterLab
+
+Included in root `docker-compose.yml` as service `jupyter`.
+Access: http://10.0.21.33/jupyter/
+Token: JUPYTER_TOKEN in `.env`
+MD
+
+cp /tmp/deploy.sh scripts/ 2>/dev/null || cp scripts/deploy.sh scripts/ 2>/dev/null || true
+chmod +x scripts/*.sh 2>/dev/null || true
+
+git add -A
+git status -sb
+git commit -m "Command Center v2: DQ, RAG, GPU matrix, S3 browser, Jupyter, Gitea config layout" || true
+git push origin main
+
+echo "==> Done. Repos:"
+echo "  $GITEA/mo/atc-agents"
+echo "  $GITEA/mo/atc-data-quality"

src/App.tsx

@@ -0,0 +1,296 @@
+import { useCallback, useEffect, useMemo, useState } from 'react'
+import { ActivityFeed } from './components/ActivityFeed'
+import { AgentRoster } from './components/AgentRoster'
+import { AgentTerminalGrid } from './components/AgentTerminalGrid'
+import { ChatPanel } from './components/ChatPanel'
+import { CommandDock } from './components/CommandDock'
+import { GpuPanel } from './components/GpuPanel'
+import { AmbientBackground } from './components/AmbientBackground'
+import { LiveClusterMap } from './components/LiveClusterMap'
+import { LiveDomainGrid } from './components/LiveDomainGrid'
+import { ThemeToggle } from './components/ThemeToggle'
+import type { Agent, AgentAnim, Approval, ChatMessage, FeedEntry, GpuStatus, StatusData, TerminalLine, WorkloadData } from './types'
+
+const TABS = ['Overview', 'Terminals', 'Activity', 'Approvals', 'GPU'] as const
+type Tab = (typeof TABS)[number]
+
+function wsUrl() {
+  const proto = window.location.protocol === 'https:' ? 'wss' : 'ws'
+  return `${proto}://${window.location.host}/api/ws/ops`
+}
+
+function LiveClock() {
+  const [now, setNow] = useState(new Date())
+  useEffect(() => {
+    const t = setInterval(() => setNow(new Date()), 1000)
+    return () => clearInterval(t)
+  }, [])
+  return (
+    <span className="text-xs font-mono text-[var(--text-faint)] hidden lg:inline tabular-nums">
+      {now.toLocaleTimeString()}
+    </span>
+  )
+}
+
+export default function App() {
+  const [tab, setTab] = useState<Tab>('Overview')
+  const [agents, setAgents] = useState<Agent[]>([])
+  const [status, setStatus] = useState<StatusData | null>(null)
+  const [workload, setWorkload] = useState<WorkloadData | null>(null)
+  const [gpu, setGpu] = useState<GpuStatus | null>(null)
+  const [feed, setFeed] = useState<FeedEntry[]>([])
+  const [approvals, setApprovals] = useState<Approval[]>([])
+  const [chat, setChat] = useState<ChatMessage[]>([])
+  const [anims, setAnims] = useState<Record<string, AgentAnim>>({})
+  const [selectedId, setSelectedId] = useState<string | null>(null)
+  const [busy, setBusy] = useState(false)
+  const [terminals, setTerminals] = useState<Record<string, TerminalLine[]>>({})
+  const [terminalLayout, setTerminalLayout] = useState<'grid' | 'focus'>('grid')
+
+  const appendTerminal = useCallback((line: TerminalLine) => {
+    setTerminals((prev) => {
+      const cur = prev[line.agent_id] || []
+      return { ...prev, [line.agent_id]: [...cur, line].slice(-300) }
+    })
+  }, [])
+
+  const selectedAgent = useMemo(
+    () => agents.find((a) => a.id === selectedId) || null,
+    [agents, selectedId],
+  )
+
+  const load = useCallback(async () => {
+    const [a, s, f, ap, g, t, w] = await Promise.all([
+      fetch('/api/agents').then((r) => r.json()),
+      fetch('/api/status').then((r) => r.json()),
+      fetch('/api/feed').then((r) => r.json()),
+      fetch('/api/approvals').then((r) => r.json()),
+      fetch('/api/gpu').then((r) => r.json()).catch(() => null),
+      fetch('/api/terminals').then((r) => r.json()).catch(() => ({ terminals: {} })),
+      fetch('/api/workload').then((r) => r.json()).catch(() => null),
+    ])
+    setAgents(a.agents || [])
+    setStatus(s)
+    setGpu(g || s.gpu || null)
+    setFeed(f.entries || [])
+    setApprovals(ap.approvals || [])
+    if (t.terminals) setTerminals(t.terminals)
+    if (w?.zones) setWorkload(w)
+  }, [])
+
+  useEffect(() => {
+    load()
+    const ws = new WebSocket(wsUrl())
+    ws.onmessage = (ev) => {
+      const msg = JSON.parse(ev.data)
+      if (msg.type === 'status') {
+        setStatus(msg.data)
+        if (msg.data.gpu) setGpu(msg.data.gpu)
+      }
+      if (msg.type === 'workload') setWorkload(msg.data)
+      if (msg.type === 'terminal') appendTerminal(msg.line)
+      if (msg.type === 'terminal_history' && msg.terminals) setTerminals(msg.terminals)
+      if (msg.type === 'feed') setFeed((prev) => [msg.entry, ...prev].slice(0, 100))
+      if (msg.type === 'agent_dispatch') {
+        setSelectedId(msg.agent_id)
+        setAnims((p) => ({ ...p, [msg.agent_id]: { agentId: msg.agent_id, state: 'walk', zone: msg.zone } }))
+      }
+      if (msg.type === 'agent_fetch') {
+        setAnims((p) => ({ ...p, [msg.agent_id]: { agentId: msg.agent_id, state: 'fetch', zone: msg.zone } }))
+      }
+      if (msg.type === 'agent_return') {
+        setAnims((p) => ({ ...p, [msg.agent_id]: { agentId: msg.agent_id, state: 'return', zone: msg.zone } }))
+        setTimeout(() => {
+          setAnims((p) => ({ ...p, [msg.agent_id]: { agentId: msg.agent_id, state: 'idle' } }))
+        }, 1200)
+      }
+      if (msg.type === 'prompt_result') {
+        setChat((c) => [...c, { role: 'agent', text: msg.answer, agent: msg.agent_id, ts: new Date().toISOString() }])
+        setBusy(false)
+        load()
+      }
+    }
+    const iv = setInterval(load, 15000)
+    return () => { ws.close(); clearInterval(iv) }
+  }, [load, appendTerminal])
+
+  const sendPrompt = async (message: string, agentId?: string) => {
+    setBusy(true)
+    setChat((c) => [...c, { role: 'user', text: message, ts: new Date().toISOString() }])
+    if (agentId) setSelectedId(agentId)
+    await fetch('/api/prompt', {
+      method: 'POST',
+      headers: { 'Content-Type': 'application/json' },
+      body: JSON.stringify({ message, agent_id: agentId || undefined }),
+    })
+  }
+
+  const decide = async (id: string, approved: boolean) => {
+    await fetch(`/api/approvals/${id}/decide`, {
+      method: 'POST',
+      headers: { 'Content-Type': 'application/json' },
+      body: JSON.stringify({ approved }),
+    })
+    load()
+  }
+
+  const allOk = status && Object.values(status.domains).every((d) => d.level === 'ok')
+  const totalTasks = agents.reduce((n, a) => n + (a.stats?.tasks || 0), 0)
+
+  return (
+    <div className="min-h-screen p-4 md:p-6 max-w-[96rem] mx-auto font-display flex flex-col gap-5 relative">
+      <AmbientBackground />
+      <header className="panel rounded-2xl px-5 py-4 flex flex-wrap justify-between items-center gap-4 relative overflow-hidden">
+        <div className="header-aurora" />
+        <div className="flex items-center gap-4 relative z-10">
+          <div className="logo-mark">ATC</div>
+          <div>
+            <h1 className="text-2xl md:text-3xl font-bold tracking-tight neon-text" style={{ color: 'var(--accent)' }}>
+              Command Center
+            </h1>
+            <p className="text-xs font-mono text-[var(--text-muted)]">
+              {agents.length} agents · {totalTasks} missions · autonomous ops
+            </p>
+          </div>
+        </div>
+        <div className="flex items-center gap-3 flex-wrap relative z-10">
+          <LiveClock />
+          {status && (
+            <span className={`status-pill ${allOk ? 'ok' : 'warn'}`}>
+              {allOk ? 'All systems operational' : 'Attention required'}
+            </span>
+          )}
+          {gpu?.ok && gpu.active_model && (
+            <span className="status-pill gpu hidden md:inline-flex">
+              GPU · {gpu.active_model}
+            </span>
+          )}
+          <ThemeToggle />
+        </div>
+      </header>
+
+      <AgentRoster
+        agents={agents}
+        animations={anims}
+        selectedId={selectedId}
+        onSelect={setSelectedId}
+        onDelegate={(a) => setSelectedId(a.id)}
+      />
+
+      <section className="panel rounded-2xl p-5">
+        <div className="flex flex-wrap items-end justify-between gap-3 mb-4">
+          <div>
+            <p className="section-eyebrow">Live agent shells</p>
+            <h2 className="text-lg font-bold" style={{ color: 'var(--accent)' }}>Agent Terminals</h2>
+            <p className="text-xs text-[var(--text-muted)] mt-1">Volg live hoe elke agent data ophaalt — HTTP probes, Dockhand, JMX, vLLM.</p>
+          </div>
+          <div className="flex gap-2">
+            <button type="button" className={`tab-btn text-xs ${terminalLayout === 'grid' ? 'active' : ''}`} onClick={() => setTerminalLayout('grid')}>Grid</button>
+            <button type="button" className={`tab-btn text-xs ${terminalLayout === 'focus' ? 'active' : ''}`} onClick={() => setTerminalLayout('focus')}>Focus</button>
+          </div>
+        </div>
+        <AgentTerminalGrid
+          agents={agents}
+          terminals={terminals}
+          animations={anims}
+          selectedId={selectedId}
+          onSelect={setSelectedId}
+          layout={terminalLayout}
+        />
+      </section>
+
+      <div className="grid grid-cols-1 xl:grid-cols-12 gap-5">
+        <div className="xl:col-span-8 flex flex-col gap-5">
+          <LiveClusterMap agents={agents} workload={workload} animations={anims} selectedId={selectedId} />
+
+          <nav className="flex gap-2 flex-wrap">
+            {TABS.map((t) => (
+              <button key={t} type="button" onClick={() => setTab(t)} className={`tab-btn ${tab === t ? 'active' : ''}`}>
+                {t}
+                {t === 'Approvals' && approvals.length > 0 && (
+                  <span className="tab-badge">{approvals.length}</span>
+                )}
+              </button>
+            ))}
+          </nav>
+
+          <main className="panel rounded-2xl p-5 min-h-[280px]">
+            {tab === 'Overview' && (
+              <div>
+                <p className="section-eyebrow mb-1">Infrastructure</p>
+                <h3 className="text-lg font-bold mb-4" style={{ color: 'var(--text)' }}>Live Cluster Workload</h3>
+                <LiveDomainGrid workload={workload} />
+              </div>
+            )}
+            {tab === 'Terminals' && (
+              <div>
+                <p className="section-eyebrow mb-1">Mission trace</p>
+                <h3 className="text-lg font-bold mb-4" style={{ color: 'var(--text)' }}>
+                  {selectedAgent ? `${selectedAgent.name} — full terminal` : 'Select an agent'}
+                </h3>
+                {selectedAgent ? (
+                  <AgentTerminalGrid
+                    agents={agents}
+                    terminals={terminals}
+                    animations={anims}
+                    selectedId={selectedId}
+                    onSelect={setSelectedId}
+                    layout="focus"
+                  />
+                ) : (
+                  <p className="text-sm text-[var(--text-muted)]">Klik een agent in de roster of stuur een prompt.</p>
+                )}
+              </div>
+            )}
+            {tab === 'Activity' && (
+              <div>
+                <div className="flex items-center justify-between mb-4">
+                  <div>
+                    <p className="section-eyebrow">Event stream</p>
+                    <h3 className="text-lg font-bold" style={{ color: 'var(--text)' }}>Agent Activity</h3>
+                  </div>
+                  {selectedAgent && (
+                    <button type="button" className="btn-secondary text-xs" onClick={() => setSelectedId(null)}>
+                      Clear filter
+                    </button>
+                  )}
+                </div>
+                <ActivityFeed feed={feed} agents={agents} filterAgentId={selectedId} />
+              </div>
+            )}
+            {tab === 'Approvals' && (
+              <div className="space-y-3">
+                {approvals.length === 0 && <p className="text-[var(--text-muted)] text-sm">Geen pending approvals.</p>}
+                {approvals.map((a) => {
+                  const agent = agents.find((ag) => ag.id === a.agent_id)
+                  return (
+                    <div key={a.id} className="status-card rounded-xl p-4 flex gap-4" style={{ borderColor: 'var(--accent-secondary)' }}>
+                      {agent && <span className="text-2xl">{agent.icon}</span>}
+                      <div className="flex-1">
+                        <div className="text-sm font-semibold" style={{ color: 'var(--accent-secondary)' }}>{a.action}</div>
+                        <div className="text-xs text-[var(--text-muted)] mt-1">{a.reason}</div>
+                        <div className="text-[10px] font-mono text-[var(--text-faint)] mt-1">via {agent?.name || a.agent_id}</div>
+                        <div className="flex gap-2 mt-3">
+                          <button type="button" onClick={() => decide(a.id, true)} className="btn-secondary text-[var(--status-ok)]">Approve</button>
+                          <button type="button" onClick={() => decide(a.id, false)} className="btn-secondary text-[var(--status-down)]">Deny</button>
+                        </div>
+                      </div>
+                    </div>
+                  )
+                })}
+              </div>
+            )}
+            {tab === 'GPU' && <GpuPanel gpu={gpu} />}
+          </main>
+        </div>
+
+        <div className="xl:col-span-4 flex flex-col gap-5">
+          <GpuPanel gpu={gpu} compact />
+          <ChatPanel messages={chat} agents={agents} selectedAgent={selectedAgent} busy={busy} />
+        </div>
+      </div>
+
+      <CommandDock onSubmit={sendPrompt} busy={busy} selectedAgent={selectedAgent} />
+    </div>
+  )
+}

src/components/ActivityFeed.tsx

@@ -0,0 +1,55 @@
+import { motion } from 'framer-motion'
+import type { Agent, FeedEntry } from '../types'
+
+type Props = {
+  feed: FeedEntry[]
+  agents: Agent[]
+  filterAgentId?: string | null
+}
+
+export function ActivityFeed({ feed, agents, filterAgentId }: Props) {
+  const entries = filterAgentId ? feed.filter((e) => e.agent_id === filterAgentId) : feed
+
+  if (entries.length === 0) {
+    return (
+      <div className="empty-state">
+        <span className="text-2xl mb-2">📡</span>
+        <p>Geen activiteit{filterAgentId ? ' voor deze agent' : ''}.</p>
+      </div>
+    )
+  }
+
+  return (
+    <div className="activity-feed max-h-[420px] overflow-y-auto pr-1">
+      {entries.map((e, i) => {
+        const agent = agents.find((a) => a.id === e.agent_id)
+        return (
+          <motion.div
+            key={e.id}
+            className="activity-item"
+            initial={{ opacity: 0, x: -8 }}
+            animate={{ opacity: 1, x: 0 }}
+            transition={{ delay: Math.min(i * 0.03, 0.3) }}
+          >
+            <div className="activity-rail">
+              <div className="activity-dot" style={{ background: agent?.color || 'var(--text-faint)', boxShadow: `0 0 8px ${agent?.color || 'transparent'}` }} />
+              {i < entries.length - 1 && <div className="activity-line" />}
+            </div>
+            <div className="flex-1 min-w-0 pb-4">
+              <div className="flex flex-wrap items-center gap-2 mb-1">
+                <span className="text-[10px] font-mono text-[var(--text-faint)]">
+                  {e.ts ? new Date(e.ts).toLocaleString() : ''}
+                </span>
+                <span className="activity-agent-badge" style={{ color: agent?.color, borderColor: `${agent?.color}44` }}>
+                  {agent?.icon} {agent?.name || e.agent_id}
+                </span>
+                {e.level === 'warn' && <span className="text-[10px] font-mono text-[var(--status-warn)]">WARN</span>}
+              </div>
+              <p className="text-sm text-[var(--text)] leading-relaxed">{e.message}</p>
+            </div>
+          </motion.div>
+        )
+      })}
+    </div>
+  )
+}

src/components/AgentCard.tsx

@@ -0,0 +1,79 @@
+import { motion } from 'framer-motion'
+import type { CSSProperties } from 'react'
+import type { Agent, AgentAnim } from '../types'
+
+const STATE_LABEL: Record<AgentAnim['state'], string> = {
+  idle: 'Standby',
+  walk: 'En route',
+  fetch: 'Fetching data',
+  return: 'Returning',
+}
+
+type Props = {
+  agent: Agent
+  anim: AgentAnim
+  selected: boolean
+  onSelect: () => void
+  onDelegate: () => void
+}
+
+export function AgentCard({ agent, anim, selected, onSelect, onDelegate }: Props) {
+  const busy = anim.state !== 'idle'
+  const tasks = agent.stats?.tasks ?? 0
+  const alerts = agent.stats?.alerts ?? 0
+
+  return (
+    <motion.button
+      type="button"
+      onClick={onSelect}
+      className={`agent-card text-left w-full ${selected ? 'selected' : ''}`}
+      whileHover={{ y: -3 }}
+      whileTap={{ scale: 0.98 }}
+      style={{ '--agent-color': agent.color } as CSSProperties}
+    >
+      <div className="agent-card-inner rounded-2xl p-4 h-full flex flex-col gap-3">
+        <div className="flex items-start justify-between gap-2">
+          <div className="agent-avatar" style={{ background: `color-mix(in srgb, ${agent.color} 18%, transparent)`, borderColor: agent.color }}>
+            <span className="text-xl">{agent.icon || '🤖'}</span>
+            <span className={`agent-status-dot ${busy ? 'active' : ''}`} style={{ background: busy ? agent.color : 'var(--status-ok)' }} />
+          </div>
+          <div className="flex flex-col items-end gap-1">
+            <span className={`agent-state-pill ${busy ? 'busy' : ''}`} style={{ color: busy ? agent.color : 'var(--text-muted)' }}>
+              {STATE_LABEL[anim.state]}
+            </span>
+            {alerts > 0 && (
+              <span className="text-[10px] font-mono px-1.5 py-0.5 rounded-full bg-[var(--status-warn-bg)] text-[var(--status-warn)]">
+                {alerts} alert{alerts > 1 ? 's' : ''}
+              </span>
+            )}
+          </div>
+        </div>
+
+        <div>
+          <h3 className="font-bold text-base leading-tight" style={{ color: agent.color }}>{agent.name}</h3>
+          <p className="text-[11px] font-mono text-[var(--text-faint)] mt-0.5 italic">"{agent.motto || agent.role}"</p>
+        </div>
+
+        <div className="flex flex-wrap gap-1">
+          {(agent.capabilities || []).slice(0, 4).map((cap) => (
+            <span key={cap} className="cap-chip">{cap}</span>
+          ))}
+        </div>
+
+        <div className="flex items-center justify-between mt-auto pt-2 border-t border-[var(--border)]">
+          <span className="text-[10px] font-mono text-[var(--text-faint)]">{tasks} tasks logged</span>
+          <span
+            role="button"
+            tabIndex={0}
+            onClick={(e) => { e.stopPropagation(); onDelegate() }}
+            onKeyDown={(e) => { if (e.key === 'Enter') { e.stopPropagation(); onDelegate() } }}
+            className="delegate-btn text-[10px] font-mono font-semibold px-2 py-1 rounded-lg"
+            style={{ color: agent.color }}
+          >
+            Delegate →
+          </span>
+        </div>
+      </div>
+    </motion.button>
+  )
+}

src/components/AgentRoster.tsx

@@ -0,0 +1,53 @@
+import { motion } from 'framer-motion'
+import type { Agent, AgentAnim } from '../types'
+import { AgentCard } from './AgentCard'
+
+type Props = {
+  agents: Agent[]
+  animations: Record<string, AgentAnim>
+  selectedId: string | null
+  onSelect: (id: string) => void
+  onDelegate: (agent: Agent) => void
+}
+
+export function AgentRoster({ agents, animations, selectedId, onSelect, onDelegate }: Props) {
+  return (
+    <section className="panel rounded-2xl p-5 relative overflow-hidden">
+      <div className="absolute inset-0 agent-roster-glow pointer-events-none" />
+      <div className="relative flex flex-wrap items-end justify-between gap-3 mb-4">
+        <div>
+          <p className="section-eyebrow">Autonomous workforce</p>
+          <h2 className="text-xl font-bold tracking-tight" style={{ color: 'var(--accent)' }}>
+            Agent Roster
+          </h2>
+          <p className="text-xs text-[var(--text-muted)] mt-1 max-w-md">
+            Selecteer een agent om te delegeren. Elk teamlid bewaakt een zone op de ops floor.
+          </p>
+        </div>
+        <div className="flex items-center gap-2 text-xs font-mono text-[var(--text-faint)]">
+          <span className="w-2 h-2 rounded-full bg-[var(--status-ok)] animate-pulse" />
+          {agents.length} agents online
+        </div>
+      </div>
+
+      <div className="relative grid grid-cols-1 sm:grid-cols-2 lg:grid-cols-3 xl:grid-cols-5 gap-3">
+        {agents.map((agent, i) => (
+          <motion.div
+            key={agent.id}
+            initial={{ opacity: 0, y: 12 }}
+            animate={{ opacity: 1, y: 0 }}
+            transition={{ delay: i * 0.06 }}
+          >
+            <AgentCard
+              agent={agent}
+              anim={animations[agent.id] || { agentId: agent.id, state: 'idle' }}
+              selected={selectedId === agent.id}
+              onSelect={() => onSelect(agent.id)}
+              onDelegate={() => onDelegate(agent)}
+            />
+          </motion.div>
+        ))}
+      </div>
+    </section>
+  )
+}

src/components/AgentSprite.tsx

@@ -0,0 +1,216 @@
+import { motion } from 'framer-motion'
+
+type Props = {
+  agentId: string
+  color: string
+  icon?: string
+  state: 'idle' | 'walk' | 'fetch' | 'return'
+  label: string
+}
+
+function uid(agentId: string, name: string) {
+  return `${agentId}-${name}`
+}
+
+function CharacterBody({ agentId, color, state }: { agentId: string; color: string; state: Props['state'] }) {
+  const g = uid(agentId, 'bodyGrad')
+  const glow = uid(agentId, 'glow')
+  const visor = uid(agentId, 'visor')
+  const walking = state === 'walk' || state === 'return'
+  const fetching = state === 'fetch'
+
+  return (
+    <svg width="72" height="92" viewBox="0 0 72 92" fill="none" xmlns="http://www.w3.org/2000/svg" className="sprite-svg">
+      <defs>
+        <linearGradient id={g} x1="36" y1="8" x2="36" y2="88" gradientUnits="userSpaceOnUse">
+          <stop stopColor={color} stopOpacity="0.35" />
+          <stop offset="0.45" stopColor={color} stopOpacity="0.08" />
+          <stop offset="1" stopColor={color} stopOpacity="0.02" />
+        </linearGradient>
+        <linearGradient id={visor} x1="36" y1="14" x2="36" y2="28" gradientUnits="userSpaceOnUse">
+          <stop stopColor={color} stopOpacity="0.95" />
+          <stop offset="1" stopColor={color} stopOpacity="0.25" />
+        </linearGradient>
+        <filter id={glow} x="-40%" y="-40%" width="180%" height="180%">
+          <feGaussianBlur stdDeviation="2.5" result="blur" />
+          <feMerge>
+            <feMergeNode in="blur" />
+            <feMergeNode in="SourceGraphic" />
+          </feMerge>
+        </filter>
+      </defs>
+
+      {/* Platform + aura */}
+      <ellipse cx="36" cy="86" rx="22" ry="5" fill={color} opacity="0.2" />
+      <ellipse cx="36" cy="86" rx="14" ry="2.5" fill={color} opacity="0.45" className="sprite-platform-pulse" />
+
+      {agentId === 'etl-guardian' && (
+        <g filter={`url(#${glow})`}>
+          <path d="M26 38 L36 32 L46 38 L44 58 L28 58 Z" fill={`url(#${g})`} stroke={color} strokeWidth="1.4" />
+          <rect x="30" y="42" width="12" height="8" rx="1" fill={color} opacity="0.15" stroke={color} strokeWidth="0.8" />
+          <path d="M32 46 H40 M34 48 H38" stroke={color} strokeWidth="0.8" opacity="0.7" />
+          <motion.path
+            d="M48 40 Q54 36 56 44"
+            stroke={color} strokeWidth="1.5" fill="none"
+            animate={fetching ? { pathLength: [0.2, 1, 0.2] } : { pathLength: 1 }}
+            transition={{ repeat: Infinity, duration: 0.8 }}
+          />
+          <circle cx="56" cy="44" r="2.5" fill={color} opacity={fetching ? 1 : 0.5} />
+          <motion.g animate={walking ? { rotate: [0, 12, 0] } : {}} style={{ originX: '48px', originY: '42px' }}>
+            <path d="M46 40 L52 36 L52 48 L46 44 Z" fill={color} opacity="0.25" stroke={color} strokeWidth="1" />
+          </motion.g>
+          <rect x="22" y="40" width="7" height="16" rx="3" className="sprite-limb" stroke={color} strokeWidth="1" />
+          <rect x="43" y="40" width="7" height="16" rx="3" className="sprite-limb" stroke={color} strokeWidth="1" />
+          <rect x="28" y="58" width="8" height="14" rx="2.5" className="sprite-limb" stroke={color} strokeWidth="1" />
+          <rect x="36" y="58" width="8" height="14" rx="2.5" className="sprite-limb" stroke={color} strokeWidth="1" />
+          <circle cx="36" cy="22" r="11" className="sprite-head" stroke={color} strokeWidth="1.5" />
+          <path d="M24 18 Q36 6 48 18 L46 22 Q36 12 26 22 Z" fill={color} opacity="0.85" />
+          <rect x="26" y="18" width="20" height="5" rx="2" fill={`url(#${visor})`} opacity="0.9" />
+          <path d="M28 20 L32 20 M40 20 L44 20" stroke={color} strokeWidth="1.2" opacity="0.8" />
+          <text x="36" y="23" textAnchor="middle" fontSize="9" fill={color}>⚡</text>
+        </g>
+      )}
+
+      {agentId === 'lakehouse-ops' && (
+        <g filter={`url(#${glow})`}>
+          <path d="M25 37 L36 30 L47 37 L45 59 L27 59 Z" fill={`url(#${g})`} stroke={color} strokeWidth="1.4" />
+          <path d="M30 35 L36 28 L42 35" stroke={color} strokeWidth="1.2" fill="none" opacity="0.6" />
+          <rect x="31" y="43" width="10" height="7" rx="1" fill={color} opacity="0.12" stroke={color} strokeWidth="0.8" />
+          <path d="M32 48 L36 44 L40 48 L38 50 L34 50 Z" fill={color} opacity="0.5" />
+          <motion.g animate={fetching ? { y: [0, -2, 0] } : {}} transition={{ repeat: Infinity, duration: 1.2 }}>
+            <rect x="48" y="38" width="10" height="12" rx="2" fill={color} opacity="0.2" stroke={color} strokeWidth="1" />
+            <path d="M50 46 L54 42 L54 46" stroke={color} strokeWidth="0.8" fill="none" />
+          </motion.g>
+          <rect x="21" y="39" width="7" height="15" rx="3" className="sprite-limb" stroke={color} strokeWidth="1" />
+          <rect x="44" y="39" width="7" height="15" rx="3" className="sprite-limb" stroke={color} strokeWidth="1" />
+          <rect x="27" y="59" width="8" height="13" rx="2.5" className="sprite-limb" stroke={color} strokeWidth="1" />
+          <rect x="37" y="59" width="8" height="13" rx="2.5" className="sprite-limb" stroke={color} strokeWidth="1" />
+          <circle cx="36" cy="21" r="11.5" className="sprite-head" stroke={color} strokeWidth="1.5" />
+          <path d="M23 17 Q36 5 49 17 L47 21 Q36 11 25 21 Z" fill={color} opacity="0.85" />
+          <ellipse cx="36" cy="20" rx="9" ry="4" fill={`url(#${visor})`} opacity="0.85" />
+          <text x="36" y="22" textAnchor="middle" fontSize="8" fill={color}>🏔</text>
+        </g>
+      )}
+
+      {agentId === 'data-custodian' && (
+        <g filter={`url(#${glow})`}>
+          <rect x="26" y="36" width="20" height="24" rx="5" fill={`url(#${g})`} stroke={color} strokeWidth="1.5" />
+          <rect x="29" y="40" width="14" height="10" rx="2" fill={color} opacity="0.12" stroke={color} strokeWidth="0.8" />
+          <circle cx="36" cy="45" r="3" stroke={color} strokeWidth="1" fill="none" opacity="0.7" />
+          <path d="M36 45 L36 48 M34 47 L38 47" stroke={color} strokeWidth="0.8" opacity="0.7" />
+          <motion.g animate={walking ? { x: [0, 1, 0] } : {}} transition={{ repeat: Infinity, duration: 0.4 }}>
+            <path d="M18 38 L18 52 L24 52 L28 44 L24 38 Z" fill={color} opacity="0.3" stroke={color} strokeWidth="1.2" />
+            <path d="M20 42 L24 42 M20 46 L24 46" stroke={color} strokeWidth="0.7" opacity="0.6" />
+          </motion.g>
+          <rect x="44" y="39" width="7" height="16" rx="3" className="sprite-limb" stroke={color} strokeWidth="1" />
+          <rect x="28" y="60" width="9" height="12" rx="2.5" className="sprite-limb" stroke={color} strokeWidth="1" />
+          <rect x="35" y="60" width="9" height="12" rx="2.5" className="sprite-limb" stroke={color} strokeWidth="1" />
+          <circle cx="36" cy="22" r="12" className="sprite-head" stroke={color} strokeWidth="1.5" />
+          <path d="M22 19 Q36 7 50 19 L48 23 Q36 13 24 23 Z" fill={color} opacity="0.9" />
+          <rect x="27" y="18" width="18" height="6" rx="3" fill={`url(#${visor})`} />
+          <text x="36" y="23" textAnchor="middle" fontSize="8" fill={color}>🛡</text>
+        </g>
+      )}
+
+      {agentId === 'hadoop-ranger' && (
+        <g filter={`url(#${glow})`}>
+          <path d="M27 38 L36 33 L45 38 L43 58 L29 58 Z" fill={`url(#${g})`} stroke={color} strokeWidth="1.4" />
+          <rect x="30" y="42" width="12" height="9" rx="1.5" fill={color} opacity="0.1" stroke={color} strokeWidth="0.8" />
+          <path d="M32 46 H40 M33 49 H39" stroke={color} strokeWidth="0.7" opacity="0.6" />
+          <path d="M14 42 L20 38 L20 46 L14 50 Z" fill={color} opacity="0.25" stroke={color} strokeWidth="1" />
+          <circle cx="17" cy="43" r="2" fill={color} opacity="0.8" />
+          <circle cx="17" cy="47" r="2" fill={color} opacity="0.8" />
+          <rect x="22" y="40" width="7" height="16" rx="3" className="sprite-limb" stroke={color} strokeWidth="1" />
+          <rect x="43" y="40" width="7" height="16" rx="3" className="sprite-limb" stroke={color} strokeWidth="1" />
+          <rect x="28" y="58" width="8" height="14" rx="2.5" className="sprite-limb" stroke={color} strokeWidth="1" />
+          <rect x="36" y="58" width="8" height="14" rx="2.5" className="sprite-limb" stroke={color} strokeWidth="1" />
+          <circle cx="36" cy="22" r="11" className="sprite-head" stroke={color} strokeWidth="1.5" />
+          <path d="M24 18 Q36 8 48 18 L46 22 Q36 14 26 22 Z" fill={color} opacity="0.85" />
+          <path d="M30 14 L36 10 L42 14 L40 17 L32 17 Z" fill={color} opacity="0.5" />
+          <rect x="28" y="19" width="16" height="5" rx="2" fill={`url(#${visor})`} opacity="0.85" />
+          <text x="36" y="23" textAnchor="middle" fontSize="8" fill={color}>🌲</text>
+          {fetching && (
+            <motion.circle cx="50" cy="30" r="3" fill={color} animate={{ opacity: [0.3, 1, 0.3] }} transition={{ repeat: Infinity, duration: 0.6 }} />
+          )}
+        </g>
+      )}
+
+      {agentId === 'infra-sentinel' && (
+        <g filter={`url(#${glow})`}>
+          <path d="M24 37 Q36 30 48 37 L46 59 L26 59 Z" fill={`url(#${g})`} stroke={color} strokeWidth="1.4" />
+          <circle cx="36" cy="46" r="5" stroke={color} strokeWidth="1" fill={color} opacity="0.15" />
+          <circle cx="36" cy="46" r="2" fill={color} opacity="0.8" className="sprite-core-pulse" />
+          <motion.g
+            animate={{ rotate: 360 }}
+            transition={{ repeat: Infinity, duration: 8, ease: 'linear' }}
+            style={{ originX: '36px', originY: '46px' }}
+          >
+            <ellipse cx="36" cy="46" rx="10" ry="4" stroke={color} strokeWidth="0.8" fill="none" opacity="0.35" />
+          </motion.g>
+          <rect x="20" y="39" width="7" height="15" rx="3" className="sprite-limb" stroke={color} strokeWidth="1" />
+          <rect x="45" y="39" width="7" height="15" rx="3" className="sprite-limb" stroke={color} strokeWidth="1" />
+          <rect x="27" y="59" width="8" height="13" rx="2.5" className="sprite-limb" stroke={color} strokeWidth="1" />
+          <rect x="37" y="59" width="8" height="13" rx="2.5" className="sprite-limb" stroke={color} strokeWidth="1" />
+          <circle cx="36" cy="21" r="11.5" className="sprite-head" stroke={color} strokeWidth="1.5" />
+          <path d="M23 17 Q36 5 49 17 L47 21 Q36 11 25 21 Z" fill={color} opacity="0.85" />
+          <rect x="26" y="17" width="20" height="6" rx="3" fill={`url(#${visor})`} />
+          <circle cx="36" cy="20" r="3" fill={color} opacity="0.9" />
+          <motion.circle
+            cx="52" cy="18" r="4"
+            fill={color} opacity="0.4" stroke={color} strokeWidth="1"
+            animate={{ y: [0, -3, 0], opacity: [0.3, 0.8, 0.3] }}
+            transition={{ repeat: Infinity, duration: 2 }}
+          />
+          <text x="36" y="24" textAnchor="middle" fontSize="7" fill="#fff" opacity="0.9">👁</text>
+        </g>
+      )}
+
+      {/* Default fallback */}
+      {!['etl-guardian', 'lakehouse-ops', 'data-custodian', 'hadoop-ranger', 'infra-sentinel'].includes(agentId) && (
+        <g filter={`url(#${glow})`}>
+          <rect x="26" y="36" width="20" height="24" rx="4" fill={`url(#${g})`} stroke={color} strokeWidth="1.5" />
+          <circle cx="36" cy="22" r="11" className="sprite-head" stroke={color} strokeWidth="1.5" />
+          <text x="36" y="25" textAnchor="middle" fontSize="10" fill={color}>🤖</text>
+        </g>
+      )}
+
+      {fetching && (
+        <motion.g animate={{ opacity: [0.4, 1, 0.4] }} transition={{ repeat: Infinity, duration: 0.7 }}>
+          <circle cx="58" cy="26" r="4" fill={color} />
+          <circle cx="58" cy="26" r="7" stroke={color} strokeWidth="1" fill="none" opacity="0.4" />
+        </motion.g>
+      )}
+    </svg>
+  )
+}
+
+export function AgentSprite({ agentId, color, state, label }: Props) {
+  const bob = state === 'idle' ? { y: [0, -5, 0] } : state === 'walk' || state === 'return' ? { y: [0, -9, 0] } : { y: [0, -2, 0] }
+  const scale = state === 'fetch' ? 0.94 : 1
+  const busy = state !== 'idle'
+
+  return (
+    <motion.div
+      className="flex flex-col items-center agent-sprite"
+      animate={{ ...bob, scale }}
+      transition={{ repeat: Infinity, duration: state === 'walk' || state === 'return' ? 0.28 : 2.4, ease: 'easeInOut' }}
+    >
+      <div className={`sprite-figure ${busy ? 'sprite-figure-busy' : ''}`}>
+        {state !== 'idle' && (
+          <motion.div
+            className="sprite-ring-outer"
+            style={{ borderColor: color, boxShadow: `0 0 20px ${color}55, inset 0 0 12px ${color}22` }}
+            animate={{ scale: [1, 1.06, 1], opacity: [0.6, 1, 0.6] }}
+            transition={{ repeat: Infinity, duration: 1.5 }}
+          />
+        )}
+        <div className="sprite-holo-shimmer" style={{ background: `linear-gradient(135deg, ${color}18, transparent 60%)` }} />
+        <CharacterBody agentId={agentId} color={color} state={state} />
+      </div>
+      <div className="sprite-nameplate" style={{ borderColor: `${color}55`, boxShadow: `0 0 12px ${color}33` }}>
+        <span className="sprite-nameplate-dot" style={{ background: color, boxShadow: `0 0 6px ${color}` }} />
+        <span className="sprite-nameplate-text" style={{ color }}>{label}</span>
+      </div>
+    </motion.div>
+  )
+}

src/components/AgentTerminal.tsx

@@ -0,0 +1,74 @@
+import { useEffect, useRef } from 'react'
+import type { CSSProperties } from 'react'
+import type { Agent, TerminalLine } from '../types'
+
+const LEVEL_CLASS: Record<string, string> = {
+  info: 'term-info',
+  ok: 'term-ok',
+  warn: 'term-warn',
+  err: 'term-err',
+  cmd: 'term-cmd',
+  llm: 'term-llm',
+}
+
+type Props = {
+  agent: Agent
+  lines: TerminalLine[]
+  active: boolean
+  expanded?: boolean
+  onFocus?: () => void
+}
+
+export function AgentTerminal({ agent, lines, active, expanded, onFocus }: Props) {
+  const bottomRef = useRef<HTMLDivElement>(null)
+  const containerRef = useRef<HTMLDivElement>(null)
+
+  useEffect(() => {
+    if (active || expanded) {
+      bottomRef.current?.scrollIntoView({ behavior: 'smooth' })
+    }
+  }, [lines, active, expanded])
+
+  return (
+    <div
+      className={`agent-terminal ${active ? 'active' : ''} ${expanded ? 'expanded' : ''}`}
+      style={{ '--term-accent': agent.color } as CSSProperties}
+      onClick={onFocus}
+      role="button"
+      tabIndex={0}
+      onKeyDown={(e) => e.key === 'Enter' && onFocus?.()}
+    >
+      <div className="agent-terminal-header">
+        <div className="flex items-center gap-2 min-w-0">
+          <span>{agent.icon}</span>
+          <span className="font-semibold text-xs truncate" style={{ color: agent.color }}>{agent.name}</span>
+          {active && <span className="term-live-badge">LIVE</span>}
+        </div>
+        <span className="text-[10px] font-mono text-[var(--text-faint)]">{lines.length} lines</span>
+      </div>
+
+      <div ref={containerRef} className="agent-terminal-body">
+        {lines.length === 0 && (
+          <div className="term-line term-info">
+            <span className="term-ts">--:--:--</span>
+            <span className="term-text">Waiting for missions…</span>
+          </div>
+        )}
+        {lines.map((line) => (
+          <div key={line.id} className={`term-line ${LEVEL_CLASS[line.level] || 'term-info'}`}>
+            <span className="term-ts">{line.ts ? new Date(line.ts).toLocaleTimeString() : ''}</span>
+            <span className="term-phase">{line.phase}</span>
+            <span className="term-text">{line.text}</span>
+          </div>
+        ))}
+        {active && (
+          <div className="term-line term-cmd">
+            <span className="term-ts" />
+            <span className="term-text term-cursor">█</span>
+          </div>
+        )}
+        <div ref={bottomRef} />
+      </div>
+    </div>
+  )
+}

src/components/AgentTerminalGrid.tsx

@@ -0,0 +1,60 @@
+import type { Agent, AgentAnim, TerminalLine } from '../types'
+import { AgentTerminal } from './AgentTerminal'
+
+type Props = {
+  agents: Agent[]
+  terminals: Record<string, TerminalLine[]>
+  animations: Record<string, AgentAnim>
+  selectedId: string | null
+  onSelect: (id: string) => void
+  layout?: 'grid' | 'focus'
+}
+
+export function AgentTerminalGrid({ agents, terminals, animations, selectedId, onSelect, layout = 'grid' }: Props) {
+  const focusId = selectedId || agents[0]?.id
+
+  if (layout === 'focus' && focusId) {
+    const agent = agents.find((a) => a.id === focusId)!
+    const anim = animations[focusId] || { agentId: focusId, state: 'idle' as const }
+    return (
+      <div className="agent-terminal-focus">
+        <AgentTerminal
+          agent={agent}
+          lines={terminals[focusId] || []}
+          active={anim.state !== 'idle'}
+          expanded
+        />
+        <div className="agent-terminal-tabs">
+          {agents.map((a) => (
+            <button
+              key={a.id}
+              type="button"
+              onClick={() => onSelect(a.id)}
+              className={`agent-terminal-tab ${focusId === a.id ? 'active' : ''}`}
+              style={focusId === a.id ? { borderColor: a.color, color: a.color } : undefined}
+            >
+              {a.icon} {a.name.split(' ')[0]}
+            </button>
+          ))}
+        </div>
+      </div>
+    )
+  }
+
+  return (
+    <div className="grid grid-cols-1 md:grid-cols-2 xl:grid-cols-3 2xl:grid-cols-5 gap-3">
+      {agents.map((agent) => {
+        const anim = animations[agent.id] || { agentId: agent.id, state: 'idle' as const }
+        return (
+          <AgentTerminal
+            key={agent.id}
+            agent={agent}
+            lines={terminals[agent.id] || []}
+            active={anim.state !== 'idle'}
+            onFocus={() => onSelect(agent.id)}
+          />
+        )
+      })}
+    </div>
+  )
+}

src/components/AmbientBackground.tsx

@@ -0,0 +1,18 @@
+export function AmbientBackground() {
+  return (
+    <div className="ambient-bg pointer-events-none fixed inset-0 z-0 overflow-hidden" aria-hidden>
+      {[...Array(12)].map((_, i) => (
+        <span
+          key={i}
+          className="ambient-orb"
+          style={{
+            left: `${(i * 17 + 5) % 95}%`,
+            top: `${(i * 23 + 8) % 90}%`,
+            animationDelay: `${i * 0.7}s`,
+            animationDuration: `${8 + (i % 4) * 2}s`,
+          }}
+        />
+      ))}
+    </div>
+  )
+}

src/components/ChatPanel.tsx

@@ -0,0 +1,89 @@
+import { useEffect, useRef } from 'react'
+import { motion } from 'framer-motion'
+import type { Agent, ChatMessage } from '../types'
+
+type Props = {
+  messages: ChatMessage[]
+  agents: Agent[]
+  selectedAgent: Agent | null
+  busy: boolean
+}
+
+function agentFor(agents: Agent[], id?: string) {
+  return agents.find((a) => a.id === id)
+}
+
+export function ChatPanel({ messages, agents, selectedAgent, busy }: Props) {
+  const bottomRef = useRef<HTMLDivElement>(null)
+
+  useEffect(() => {
+    bottomRef.current?.scrollIntoView({ behavior: 'smooth' })
+  }, [messages, busy])
+
+  return (
+    <div className="panel rounded-2xl flex flex-col h-full min-h-[360px] overflow-hidden">
+      <div className="px-5 py-4 border-b border-[var(--border)] flex items-center justify-between gap-3">
+        <div>
+          <p className="section-eyebrow">Mission control</p>
+          <h3 className="font-bold text-base" style={{ color: 'var(--accent)' }}>Agent Comms</h3>
+        </div>
+        {selectedAgent && (
+          <div className="flex items-center gap-2 px-3 py-1.5 rounded-xl border text-xs font-mono" style={{ borderColor: `${selectedAgent.color}44`, color: selectedAgent.color }}>
+            <span>{selectedAgent.icon}</span>
+            <span>→ {selectedAgent.name}</span>
+          </div>
+        )}
+      </div>
+
+      <div className="flex-1 overflow-y-auto p-4 space-y-3">
+        {messages.length === 0 && (
+          <div className="empty-state h-full flex flex-col items-center justify-center">
+            <span className="text-3xl mb-3">💬</span>
+            <p className="text-sm text-[var(--text-muted)] text-center max-w-xs">
+              {selectedAgent
+                ? `Stuur een opdracht naar ${selectedAgent.name}. Kies een suggestie hieronder of typ je eigen vraag.`
+                : 'Selecteer een agent of stel een vraag — routing kiest automatisch de specialist.'}
+            </p>
+          </div>
+        )}
+
+        {messages.map((m, i) => {
+          const agent = m.role === 'agent' ? agentFor(agents, m.agent) : null
+          return (
+            <motion.div
+              key={i}
+              initial={{ opacity: 0, y: 8 }}
+              animate={{ opacity: 1, y: 0 }}
+              className={`chat-message ${m.role}`}
+            >
+              {m.role === 'agent' && agent && (
+                <div className="chat-avatar" style={{ background: `color-mix(in srgb, ${agent.color} 20%, transparent)`, borderColor: agent.color }}>
+                  {agent.icon}
+                </div>
+              )}
+              <div className={`chat-bubble ${m.role === 'user' ? 'chat-bubble-user' : 'chat-bubble-agent'}`}>
+                <div className="chat-meta">
+                  {m.role === 'user' ? 'You' : agent?.name || m.agent}
+                  {m.ts && <span>{new Date(m.ts).toLocaleTimeString()}</span>}
+                </div>
+                <div className="chat-text whitespace-pre-wrap">{m.text}</div>
+              </div>
+            </motion.div>
+          )
+        })}
+
+        {busy && (
+          <motion.div initial={{ opacity: 0 }} animate={{ opacity: 1 }} className="chat-message agent">
+            <div className="chat-avatar thinking-pulse" style={{ background: 'var(--surface-elevated)' }}>⋯</div>
+            <div className="chat-bubble chat-bubble-agent">
+              <div className="typing-indicator">
+                <span /><span /><span />
+              </div>
+            </div>
+          </motion.div>
+        )}
+        <div ref={bottomRef} />
+      </div>
+    </div>
+  )
+}

src/components/ClusterViz.tsx

@@ -0,0 +1,167 @@
+import { motion } from 'framer-motion'
+import { appIcon, shortName } from '../lib/appIcons'
+import type { WorkloadZone } from '../types'
+
+const DESK_X = 50
+
+type Props = {
+  zones: WorkloadZone[]
+  activeZoneId?: string | null
+}
+
+export function DataFlowLayer({ zones, activeZoneId }: Props) {
+  return (
+    <svg className="absolute inset-0 w-full h-full pointer-events-none cluster-flow-svg" preserveAspectRatio="none">
+      <defs>
+        {zones.map((z) => (
+          <linearGradient key={`grad-${z.id}`} id={`flow-grad-${z.id}`} x1="0%" y1="0%" x2="100%" y2="0%">
+            <stop offset="0%" stopColor={z.color} stopOpacity="0.05" />
+            <stop offset="50%" stopColor={z.color} stopOpacity="0.6" />
+            <stop offset="100%" stopColor={z.color} stopOpacity="0.05" />
+          </linearGradient>
+        ))}
+      </defs>
+      {zones.map((z, i) => (
+        <g key={z.id}>
+          <motion.line
+            x1={`${DESK_X}%`} y1="92%" x2={`${z.x}%`} y2="22%"
+            stroke={`url(#flow-grad-${z.id})`}
+            strokeWidth={activeZoneId === z.id ? 3 : 1.5}
+            strokeDasharray="6 5"
+            animate={{ strokeDashoffset: [0, -22] }}
+            transition={{ repeat: Infinity, duration: 1.8 + i * 0.15, ease: 'linear' }}
+          />
+          {[0, 1, 2].map((p) => (
+            <motion.circle
+              key={p}
+              r={activeZoneId === z.id ? 4 : 3}
+              fill={z.color}
+              filter={`drop-shadow(0 0 4px ${z.color})`}
+              animate={{
+                cx: [`${DESK_X}%`, `${z.x}%`],
+                cy: ['92%', '22%'],
+                opacity: [0, 1, 1, 0],
+              }}
+              transition={{
+                repeat: Infinity,
+                duration: 2.2 + i * 0.2 + p * 0.4,
+                delay: p * 0.7 + i * 0.1,
+                ease: 'linear',
+              }}
+            />
+          ))}
+        </g>
+      ))}
+    </svg>
+  )
+}
+
+type ZoneProps = {
+  zone: WorkloadZone
+  active: boolean
+  agentBusy: boolean
+}
+
+export function ZoneTower({ zone, active, agentBusy }: ZoneProps) {
+  const pulse = zone.level === 'ok'
+  const apps = zone.apps.slice(0, 5)
+
+  return (
+    <div className="absolute top-0 -translate-x-1/2 flex flex-col items-center gap-1" style={{ left: `${zone.x}%` }}>
+      <motion.div
+        className={`zone-tower ${pulse ? 'zone-tower-live' : ''} ${active ? 'zone-tower-active' : ''}`}
+        style={{
+          borderColor: zone.color,
+          boxShadow: `0 0 ${active || agentBusy ? 28 : 14}px ${zone.color}${active ? '66' : '33'}`,
+          color: zone.color,
+        }}
+        animate={agentBusy ? { scale: [1, 1.04, 1] } : { scale: 1 }}
+        transition={{ repeat: Infinity, duration: 0.8 }}
+      >
+        <div className="zone-tower-label">{zone.label}</div>
+        <div className="zone-tower-stats">
+          <span className={`zone-level-dot level-${zone.level}`} />
+          {zone.running}/{zone.total || zone.apps.length}
+        </div>
+        {zone.id === 'hadoop' && zone.hdfs_total_gb != null && (
+          <div className="zone-tower-extra">{zone.hdfs_used_gb ?? 0}/{zone.hdfs_total_gb} GB</div>
+        )}
+        {zone.id === 'lakehouse' && (
+          <div className="zone-tower-extra">{zone.trino_ok ? 'Trino ●' : 'Trino ○'}</div>
+        )}
+      </motion.div>
+
+      <div className="zone-app-orbit">
+        {apps.map((app, i) => (
+          <motion.div
+            key={app.name}
+            className={`zone-app-chip state-${app.state}`}
+            style={{ borderColor: `${zone.color}55` }}
+            animate={{ y: [0, -3, 0], opacity: app.state === 'running' ? [0.85, 1, 0.85] : 0.45 }}
+            transition={{ repeat: Infinity, duration: 2 + i * 0.3, delay: i * 0.15 }}
+            title={`${app.name} (${app.state})`}
+          >
+            <span>{appIcon(app.name, app.image)}</span>
+            <span>{shortName(app.name, 10)}</span>
+          </motion.div>
+        ))}
+      </div>
+    </div>
+  )
+}
+
+export function GpuBeacon({ model, util, count, level, active }: {
+  model?: string | null
+  util?: number
+  count?: number
+  level: string
+  active?: boolean
+}) {
+  return (
+    <motion.div
+      className={`gpu-beacon level-${level} ${active ? 'gpu-beacon-active' : ''}`}
+      animate={{ boxShadow: active ? ['0 0 20px #76b90044', '0 0 36px #76b90088', '0 0 20px #76b90044'] : undefined }}
+      transition={{ repeat: Infinity, duration: 2 }}
+    >
+      <div className="gpu-beacon-title">⚡ GPU LAB</div>
+      <div className="gpu-beacon-model">{shortName(model || 'offline', 18)}</div>
+      <div className="gpu-beacon-meta">{count ?? 0}× V100 · {Math.round(util ?? 0)}%</div>
+      <div className="gpu-beacon-bar">
+        <motion.div
+          className="gpu-beacon-fill"
+          animate={{ width: `${Math.max(util ?? 0, 4)}%` }}
+          transition={{ duration: 0.8 }}
+        />
+      </div>
+    </motion.div>
+  )
+}
+
+export function WorkloadTicker({ zones }: { zones: WorkloadZone[] }) {
+  const allApps = zones.flatMap((z) =>
+    z.apps.map((a) => ({ ...a, zoneColor: z.color, zoneId: z.id })),
+  )
+
+  return (
+    <div className="workload-ticker-wrap">
+      <div className="workload-ticker-label">LIVE WORKLOAD</div>
+      <div className="workload-ticker-track">
+        <motion.div
+          className="workload-ticker-inner"
+          animate={{ x: ['0%', '-50%'] }}
+          transition={{ repeat: Infinity, duration: 40, ease: 'linear' }}
+        >
+          {[...allApps, ...allApps].map((app, i) => (
+            <span
+              key={`${app.name}-${i}`}
+              className={`ticker-chip state-${app.state}`}
+              style={{ borderColor: `${app.zoneColor}44`, color: app.zoneColor }}
+            >
+              {appIcon(app.name, app.image)} {app.name}
+            </span>
+          ))}
+        </motion.div>
+      </div>
+    </div>
+  )
+}

src/components/CommandDock.tsx

@@ -0,0 +1,69 @@
+import { FormEvent, useState } from 'react'
+import { motion } from 'framer-motion'
+import type { Agent } from '../types'
+
+type Props = {
+  onSubmit: (message: string, agentId?: string) => void
+  busy: boolean
+  selectedAgent: Agent | null
+}
+
+export function CommandDock({ onSubmit, busy, selectedAgent }: Props) {
+  const [text, setText] = useState('')
+  const prompts = selectedAgent?.suggested_prompts || [
+    'Lab health overview?',
+    'Hoe staat de GPU?',
+    'Database status?',
+  ]
+
+  const handle = (e: FormEvent) => {
+    e.preventDefault()
+    if (!text.trim() || busy) return
+    onSubmit(text.trim(), selectedAgent?.id)
+    setText('')
+  }
+
+  const sendQuick = (prompt: string) => {
+    if (busy) return
+    onSubmit(prompt, selectedAgent?.id)
+  }
+
+  return (
+    <div className="command-dock panel rounded-2xl p-4 md:p-5">
+      <div className="flex flex-wrap gap-2 mb-3">
+        {prompts.map((p) => (
+          <motion.button
+            key={p}
+            type="button"
+            whileHover={{ scale: 1.02 }}
+            whileTap={{ scale: 0.98 }}
+            disabled={busy}
+            onClick={() => sendQuick(p)}
+            className="quick-prompt-chip"
+            style={selectedAgent ? { borderColor: `${selectedAgent.color}55`, color: selectedAgent.color } : undefined}
+          >
+            {p}
+          </motion.button>
+        ))}
+      </div>
+
+      <form onSubmit={handle} className="flex gap-3 items-center">
+        <div className="command-input-wrap flex-1 flex items-center gap-3 rounded-xl px-4 py-1">
+          {selectedAgent && (
+            <span className="text-lg shrink-0" title={selectedAgent.name}>{selectedAgent.icon}</span>
+          )}
+          <input
+            className="prompt-input border-0 bg-transparent shadow-none focus:shadow-none flex-1 py-2.5"
+            placeholder={selectedAgent ? `Opdracht voor ${selectedAgent.name}...` : 'Vraag je agents... routing kiest de specialist'}
+            value={text}
+            onChange={(e) => setText(e.target.value)}
+            disabled={busy}
+          />
+        </div>
+        <button type="submit" disabled={busy || !text.trim()} className="btn-primary shrink-0 px-6">
+          {busy ? 'Dispatching...' : 'Dispatch'}
+        </button>
+      </form>
+    </div>
+  )
+}

src/components/GpuPanel.tsx

@@ -0,0 +1,137 @@
+import type { GpuStatus } from '../types'
+
+type Props = {
+  gpu: GpuStatus | null
+  compact?: boolean
+}
+
+function memPct(used: number, total: number) {
+  if (!total) return 0
+  return Math.round((used / total) * 100)
+}
+
+export function GpuPanel({ gpu, compact }: Props) {
+  if (!gpu) {
+    return (
+      <div className="panel rounded-2xl p-5 animate-pulse">
+        <div className="h-4 w-32 rounded bg-[var(--surface-elevated)] mb-4" />
+        <div className="h-24 rounded-xl bg-[var(--surface-elevated)]" />
+      </div>
+    )
+  }
+
+  const online = gpu.ok
+  const gpus = gpu.gpus || []
+  const avgUtil = gpus.length ? gpus.reduce((s, g) => s + g.util_gpu, 0) / gpus.length : 0
+  const avgVram = gpus.length ? gpus.reduce((s, g) => s + memPct(g.memory_used_mib, g.memory_total_mib), 0) / gpus.length : 0
+
+  if (compact) {
+    return (
+      <div className="panel rounded-2xl p-4 relative overflow-hidden">
+        <div className="absolute -top-8 -right-8 w-24 h-24 rounded-full bg-[var(--accent-gpu)] opacity-[0.1] blur-2xl pointer-events-none" />
+        <div className="flex items-center justify-between gap-2 mb-3 relative">
+          <div className="flex items-center gap-2">
+            <span>⚡</span>
+            <h2 className="font-bold text-sm text-[var(--accent-gpu)]">GPU Lab</h2>
+          </div>
+          <a href={gpu.ui_url} target="_blank" rel="noopener noreferrer" className="text-[10px] font-mono text-[var(--accent-gpu)] hover:underline">
+            Open ↗
+          </a>
+        </div>
+        {gpu.active_model && (
+          <div className="text-sm font-semibold text-[var(--text)] truncate">{gpu.active_model}</div>
+        )}
+        <div className="flex gap-3 mt-2 text-[10px] font-mono text-[var(--text-muted)]">
+          <span>{gpu.gpu_count ?? gpus.length}× V100</span>
+          <span>{Math.round(avgUtil)}% util</span>
+          <span>{Math.round(avgVram)}% VRAM</span>
+          <span className={online && gpu.inference_active ? 'text-[var(--status-ok)]' : 'text-[var(--status-warn)]'}>
+            {online ? (gpu.inference_active ? 'ON' : 'STBY') : 'OFF'}
+          </span>
+        </div>
+        <div className="h-1.5 rounded-full bg-[var(--surface-muted)] mt-3 overflow-hidden">
+          <div
+            className="h-full rounded-full transition-all duration-500"
+            style={{
+              width: `${Math.max(avgUtil, avgVram * 0.5)}%`,
+              background: 'linear-gradient(90deg, var(--accent-gpu), var(--accent))',
+            }}
+          />
+        </div>
+      </div>
+    )
+  }
+
+  return (
+    <div className="panel rounded-2xl p-5 relative overflow-hidden">
+      <div className="absolute -top-12 -right-12 w-40 h-40 rounded-full bg-[var(--accent-gpu)] opacity-[0.08] blur-2xl pointer-events-none" />
+
+      <div className="flex flex-wrap items-start justify-between gap-3 mb-4 relative">
+        <div>
+          <p className="section-eyebrow">Inference cluster</p>
+          <div className="flex items-center gap-2">
+            <span className="text-lg" aria-hidden>⚡</span>
+            <h2 className="font-display font-bold text-[var(--accent-gpu)] tracking-tight">GPU Lab</h2>
+            <span
+              className={`text-[10px] font-mono px-2 py-0.5 rounded-full border ${
+                online && gpu.inference_active
+                  ? 'border-[var(--status-ok)] text-[var(--status-ok)] bg-[var(--status-ok-bg)]'
+                  : 'border-[var(--status-warn)] text-[var(--status-warn)] bg-[var(--status-warn-bg)]'
+              }`}
+            >
+              {online ? (gpu.inference_active ? 'INFERENCE ON' : 'STANDBY') : 'OFFLINE'}
+            </span>
+          </div>
+          <p className="text-xs font-mono text-[var(--text-muted)] mt-1">
+            atc-gpu-dev · {gpu.host} · {gpu.gpu_count ?? gpus.length}× V100
+          </p>
+        </div>
+        <a href={gpu.ui_url} target="_blank" rel="noopener noreferrer" className="btn-secondary text-xs shrink-0">
+          Open GPU Manager ↗
+        </a>
+      </div>
+
+      {gpu.active_model && (
+        <div className="rounded-xl border border-[var(--border)] bg-[var(--surface-elevated)] px-4 py-3 mb-4">
+          <div className="text-[10px] font-mono uppercase tracking-widest text-[var(--text-faint)]">Active model</div>
+          <div className="font-semibold text-[var(--text)] mt-0.5">{gpu.active_model}</div>
+          {gpu.vllm_url && (
+            <div className="text-[11px] font-mono text-[var(--text-muted)] mt-1 truncate">{gpu.vllm_url}</div>
+          )}
+        </div>
+      )}
+
+      {!online && (
+        <p className="text-sm text-[var(--status-down)]">{gpu.error || 'GPU manager unreachable'}</p>
+      )}
+
+      <div className="grid gap-2 sm:grid-cols-2">
+        {gpus.map((g) => {
+          const pct = memPct(g.memory_used_mib, g.memory_total_mib)
+          return (
+            <div key={g.index} className="gpu-card rounded-xl p-3 border border-[var(--border)]">
+              <div className="flex justify-between items-center mb-2">
+                <span className="text-xs font-mono font-semibold text-[var(--accent-gpu)]">GPU {g.index}</span>
+                <span className="text-[10px] font-mono text-[var(--text-faint)]">{g.temperature_c}°C · {g.power_w}W</span>
+              </div>
+              <div className="text-[11px] text-[var(--text-muted)] truncate mb-2">{g.name}</div>
+              <div className="flex gap-3 text-[10px] font-mono mb-1.5">
+                <span>Util {Math.round(g.util_gpu)}%</span>
+                <span>VRAM {pct}%</span>
+              </div>
+              <div className="h-1.5 rounded-full bg-[var(--surface-muted)] overflow-hidden">
+                <div
+                  className="h-full rounded-full transition-all duration-500"
+                  style={{
+                    width: `${Math.max(g.util_gpu, pct * 0.3)}%`,
+                    background: 'linear-gradient(90deg, var(--accent-gpu), var(--accent))',
+                  }}
+                />
+              </div>
+            </div>
+          )
+        })}
+      </div>
+    </div>
+  )
+}

src/components/LiveClusterMap.tsx

@@ -0,0 +1,154 @@
+import { motion, AnimatePresence } from 'framer-motion'
+import type { CSSProperties } from 'react'
+import { AgentSprite } from './AgentSprite'
+import { DataFlowLayer, GpuBeacon, WorkloadTicker, ZoneTower } from './ClusterViz'
+import type { Agent, AgentAnim, WorkloadData } from '../types'
+
+const ZONE_X: Record<string, number> = {
+  docker: 8,
+  db: 28,
+  lakehouse: 50,
+  hadoop: 72,
+  etl: 92,
+}
+
+const STATE_LABEL: Record<AgentAnim['state'], string> = {
+  idle: '',
+  walk: '→ zone',
+  fetch: '⟳ fetch',
+  return: '← desk',
+}
+
+const DESK_X = 50
+
+type Props = {
+  agents: Agent[]
+  workload: WorkloadData | null
+  animations: Record<string, AgentAnim>
+  selectedId: string | null
+}
+
+export function LiveClusterMap({ agents, workload, animations, selectedId }: Props) {
+  const zones = workload?.zones || []
+  const activeCount = agents.filter((a) => (animations[a.id]?.state || 'idle') !== 'idle').length
+  const busyAgent = agents.find((a) => (animations[a.id]?.state || 'idle') !== 'idle')
+  const mappedBusyZone = busyAgent?.zone ?? null
+
+  return (
+    <div className="panel rounded-2xl p-5 relative overflow-hidden min-h-[480px] live-cluster-map">
+      <div className="cluster-ambient" />
+      <div className="ops-floor-scan" />
+
+      <div className="flex justify-between items-start mb-4 relative z-10 gap-3 flex-wrap">
+        <div>
+          <p className="section-eyebrow">Live simulation</p>
+          <h2 className="font-display text-lg font-bold tracking-wide neon-text" style={{ color: 'var(--accent)' }}>
+            Cluster Ops Floor
+          </h2>
+          {workload && (
+            <p className="text-[10px] font-mono text-[var(--text-muted)] mt-1">
+              {workload.totals.apps_running} workloads active · {workload.totals.connectors} connectors · GPU {workload.gpu.avg_util ?? 0}%
+            </p>
+          )}
+        </div>
+        <div className="flex items-center gap-2 flex-wrap">
+          {activeCount > 0 && (
+            <span className="text-[10px] font-mono px-2 py-1 rounded-full border border-[var(--accent)] text-[var(--accent)] bg-[color-mix(in_srgb,var(--accent)_10%,transparent)] animate-pulse">
+              {activeCount} agent{activeCount > 1 ? 's' : ''} deployed
+            </span>
+          )}
+          <span className="live-badge">● LIVE</span>
+        </div>
+      </div>
+
+      {workload && (
+        <div className="absolute top-4 right-4 z-20 hidden lg:block">
+          <GpuBeacon
+            model={workload.gpu.model}
+            util={workload.gpu.avg_util}
+            count={workload.gpu.gpu_count}
+            level={workload.gpu.level}
+            active={workload.gpu.inference_active}
+          />
+        </div>
+      )}
+
+      <div className="relative h-52 mb-2 z-10">
+        <DataFlowLayer zones={zones} activeZoneId={mappedBusyZone} />
+        {zones.map((z) => (
+          <ZoneTower
+            key={z.id}
+            zone={z}
+            active={mappedBusyZone === z.id}
+            agentBusy={mappedBusyZone === z.id}
+          />
+        ))}
+
+        <motion.div
+          className="absolute bottom-0 left-1/2 -translate-x-1/2 command-desk"
+          animate={{ boxShadow: ['0 0 24px var(--glow)', '0 0 40px var(--glow)', '0 0 24px var(--glow)'] }}
+          transition={{ repeat: Infinity, duration: 3 }}
+        >
+          <span className="command-desk-ring" />
+          COMMAND DESK
+        </motion.div>
+      </div>
+
+      {workload && zones.length > 0 && (
+        <div className="relative z-10 mb-3">
+          <WorkloadTicker zones={zones} />
+        </div>
+      )}
+
+      <div className="relative h-44 rounded-2xl border ops-floor-stage z-10 cluster-agent-stage">
+        <div className="cluster-stage-grid" />
+        {agents.map((agent, i) => {
+          const anim = animations[agent.id] || { agentId: agent.id, state: 'idle' as const }
+          const targetX = anim.state === 'idle' ? 10 + i * 18 : ZONE_X[anim.zone || agent.zone] ?? DESK_X
+          const y = anim.state === 'fetch' ? 10 : anim.state === 'idle' ? 0 : 6
+          const selected = selectedId === agent.id
+          const busy = anim.state !== 'idle'
+
+          return (
+            <motion.div
+              key={agent.id}
+              className="absolute bottom-3 -translate-x-1/2"
+              animate={{ left: `${targetX}%`, y, scale: selected ? 1.08 : 1 }}
+              transition={{ type: 'spring', stiffness: 90, damping: 15 }}
+            >
+              <AnimatePresence>
+                {busy && STATE_LABEL[anim.state] && (
+                  <motion.div
+                    initial={{ opacity: 0, y: 4 }}
+                    animate={{ opacity: 1, y: 0 }}
+                    exit={{ opacity: 0 }}
+                    className="absolute -top-6 left-1/2 -translate-x-1/2 text-[9px] font-mono font-bold whitespace-nowrap px-2 py-0.5 rounded-full"
+                    style={{
+                      color: agent.color,
+                      background: `color-mix(in srgb, ${agent.color} 15%, var(--surface-strong))`,
+                      border: `1px solid ${agent.color}44`,
+                    }}
+                  >
+                    {STATE_LABEL[anim.state]}
+                  </motion.div>
+                )}
+              </AnimatePresence>
+
+              <div
+                className={`sprite-wrap ${selected ? 'selected' : ''} ${busy ? 'busy' : ''}`}
+                style={{ '--sprite-color': agent.color } as CSSProperties}
+              >
+                <AgentSprite
+                  agentId={agent.id}
+                  color={agent.color}
+                  state={anim.state}
+                  label={agent.name.split(' ')[0]}
+                />
+              </div>
+            </motion.div>
+          )
+        })}
+      </div>
+    </div>
+  )
+}

src/components/LiveDomainGrid.tsx

@@ -0,0 +1,110 @@
+import { motion } from 'framer-motion'
+import { appIcon, LEVEL_COLOR } from '../lib/appIcons'
+import type { WorkloadData } from '../types'
+
+type Props = {
+  workload: WorkloadData | null
+}
+
+export function LiveDomainGrid({ workload }: Props) {
+  if (!workload) {
+    return <div className="live-domain-grid animate-pulse h-48 rounded-xl bg-[var(--surface-elevated)]" />
+  }
+
+  return (
+    <div className="space-y-4">
+      <div className="grid grid-cols-2 md:grid-cols-3 gap-3">
+        {workload.zones.map((zone, zi) => {
+          const pct = zone.total ? Math.round((zone.running / zone.total) * 100) : 100
+          return (
+            <motion.div
+              key={zone.id}
+              className={`live-domain-card level-${zone.level}`}
+              style={{ borderColor: LEVEL_COLOR[zone.level] || zone.color }}
+              initial={{ opacity: 0, y: 12 }}
+              animate={{ opacity: 1, y: 0 }}
+              transition={{ delay: zi * 0.05 }}
+              whileHover={{ y: -3, boxShadow: `0 8px 32px ${zone.color}22` }}
+            >
+              <div className="flex justify-between items-start gap-2 mb-2">
+                <div>
+                  <div className="text-[10px] font-mono uppercase tracking-widest" style={{ color: zone.color }}>
+                    {zone.label}
+                  </div>
+                  <div className="text-lg font-bold mt-0.5" style={{ color: LEVEL_COLOR[zone.level] }}>
+                    {zone.running}/{zone.total || zone.apps.length}
+                  </div>
+                </div>
+                <motion.span
+                  className={`domain-pulse-dot level-${zone.level}`}
+                  animate={{ scale: [1, 1.3, 1], opacity: [0.7, 1, 0.7] }}
+                  transition={{ repeat: Infinity, duration: 2 }}
+                />
+              </div>
+
+              <div className="domain-progress-bar">
+                <motion.div
+                  className="domain-progress-fill"
+                  style={{ background: `linear-gradient(90deg, ${zone.color}, ${zone.color}88)` }}
+                  animate={{ width: `${pct}%` }}
+                  transition={{ duration: 0.6 }}
+                />
+              </div>
+
+              <div className="domain-app-grid mt-3">
+                {zone.apps.slice(0, 6).map((app, ai) => (
+                  <motion.div
+                    key={app.name}
+                    className={`domain-app-tile state-${app.state}`}
+                    title={app.name}
+                    animate={app.state === 'running' ? { opacity: [0.7, 1, 0.7] } : { opacity: 0.4 }}
+                    transition={{ repeat: Infinity, duration: 2.5, delay: ai * 0.1 }}
+                  >
+                    <span>{appIcon(app.name, app.image)}</span>
+                    <span className="truncate">{app.name.split('_')[0]}</span>
+                  </motion.div>
+                ))}
+              </div>
+            </motion.div>
+          )
+        })}
+
+        <motion.div
+          className={`live-domain-card level-${workload.gpu.level}`}
+          style={{ borderColor: 'var(--accent-gpu)' }}
+          initial={{ opacity: 0, y: 12 }}
+          animate={{ opacity: 1, y: 0 }}
+          transition={{ delay: 0.3 }}
+        >
+          <div className="text-[10px] font-mono uppercase tracking-widest text-[var(--accent-gpu)]">GPU LAB</div>
+          <div className="text-lg font-bold mt-0.5 text-[var(--accent-gpu)]">
+            {workload.gpu.gpu_count ?? 0}× V100
+          </div>
+          <div className="text-xs font-mono text-[var(--text-muted)] mt-1 truncate">
+            {workload.gpu.model || 'offline'}
+          </div>
+          <div className="domain-progress-bar mt-3">
+            <motion.div
+              className="domain-progress-fill"
+              style={{ background: 'linear-gradient(90deg, var(--accent-gpu), var(--accent))' }}
+              animate={{ width: `${Math.max(workload.gpu.avg_util ?? 0, 2)}%` }}
+            />
+          </div>
+          <div className="flex gap-1 mt-3 flex-wrap">
+            {(workload.gpu.gpus || []).map((g) => (
+              <motion.div
+                key={g.index}
+                className="gpu-mini-tile"
+                animate={{ opacity: [0.6, 1, 0.6] }}
+                transition={{ repeat: Infinity, duration: 1.5 + g.index * 0.2 }}
+                title={`GPU${g.index} ${g.util_gpu}%`}
+              >
+                G{g.index}
+              </motion.div>
+            ))}
+          </div>
+        </motion.div>
+      </div>
+    </div>
+  )
+}

src/components/OpsFloor.tsx

@@ -0,0 +1,134 @@
+import { motion, AnimatePresence } from 'framer-motion'
+import type { CSSProperties } from 'react'
+import { AgentSprite } from './AgentSprite'
+import type { Agent, AgentAnim, Zone } from '../types'
+
+const ZONE_X: Record<string, number> = {
+  docker: 8,
+  db: 28,
+  lakehouse: 50,
+  hadoop: 72,
+  etl: 92,
+}
+
+const STATE_LABEL: Record<AgentAnim['state'], string> = {
+  idle: '',
+  walk: '→ zone',
+  fetch: '⟳ fetch',
+  return: '← desk',
+}
+
+const DESK_X = 50
+
+type Props = {
+  agents: Agent[]
+  zones: Zone[]
+  animations: Record<string, AgentAnim>
+  selectedId: string | null
+}
+
+export function OpsFloor({ agents, zones, animations, selectedId }: Props) {
+  const activeCount = agents.filter((a) => (animations[a.id]?.state || 'idle') !== 'idle').length
+
+  return (
+    <div className="panel rounded-2xl p-5 relative overflow-hidden min-h-[340px] ops-floor">
+      <div className="ops-floor-scan" />
+      <div className="flex justify-between items-center mb-5 relative z-10">
+        <div>
+          <p className="section-eyebrow">Live simulation</p>
+          <h2 className="font-display text-lg font-bold tracking-wide neon-text" style={{ color: 'var(--accent)' }}>
+            Ops Floor
+          </h2>
+        </div>
+        <div className="flex items-center gap-2">
+          {activeCount > 0 && (
+            <span className="text-[10px] font-mono px-2 py-1 rounded-full border border-[var(--accent)] text-[var(--accent)] bg-[color-mix(in_srgb,var(--accent)_10%,transparent)]">
+              {activeCount} agent{activeCount > 1 ? 's' : ''} deployed
+            </span>
+          )}
+          <span className="live-badge">● LIVE</span>
+        </div>
+      </div>
+
+      <div className="relative h-32 mb-4 z-10">
+        {zones.map((z) => (
+          <div key={z.id} className="absolute top-0 -translate-x-1/2 text-center" style={{ left: `${z.x}%` }}>
+            <motion.div
+              className="zone-node rounded-xl px-3 py-2.5 min-w-[88px] text-[9px] font-mono tracking-wider font-semibold"
+              style={{
+                border: `2px solid ${z.color}`,
+                boxShadow: `0 0 20px ${z.color}33`,
+                color: z.color,
+              }}
+              whileHover={{ scale: 1.05 }}
+            >
+              {z.label}
+            </motion.div>
+          </div>
+        ))}
+
+        <div
+          className="absolute bottom-0 left-1/2 -translate-x-1/2 zone-node rounded-xl px-4 py-2 text-[9px] font-mono font-bold tracking-widest"
+          style={{ borderColor: 'var(--accent)', color: 'var(--accent)', boxShadow: '0 0 24px var(--glow)' }}
+        >
+          COMMAND DESK
+        </div>
+
+        <svg className="absolute inset-0 w-full h-full pointer-events-none" preserveAspectRatio="none">
+          {zones.map((z) => (
+            <motion.line
+              key={`path-${z.id}`}
+              x1={`${DESK_X}%`} y1="88%" x2={`${z.x}%`} y2="30%"
+              stroke={z.color} strokeWidth="1.5" strokeDasharray="5 4" opacity="0.35"
+              animate={{ strokeDashoffset: [0, -18] }}
+              transition={{ repeat: Infinity, duration: 2, ease: 'linear' }}
+            />
+          ))}
+        </svg>
+      </div>
+
+      <div className="relative h-40 rounded-2xl border ops-floor-stage z-10">
+        {agents.map((agent, i) => {
+          const anim = animations[agent.id] || { agentId: agent.id, state: 'idle' as const }
+          const targetX = anim.state === 'idle' ? 10 + i * 18 : ZONE_X[anim.zone || agent.zone] ?? DESK_X
+          const y = anim.state === 'fetch' ? 10 : anim.state === 'idle' ? 0 : 6
+          const selected = selectedId === agent.id
+          const busy = anim.state !== 'idle'
+
+          return (
+            <motion.div
+              key={agent.id}
+              className="absolute bottom-3 -translate-x-1/2"
+              animate={{ left: `${targetX}%`, y, scale: selected ? 1.08 : 1 }}
+              transition={{ type: 'spring', stiffness: 90, damping: 15 }}
+            >
+              <AnimatePresence>
+                {busy && STATE_LABEL[anim.state] && (
+                  <motion.div
+                    initial={{ opacity: 0, y: 4 }}
+                    animate={{ opacity: 1, y: 0 }}
+                    exit={{ opacity: 0 }}
+                    className="absolute -top-6 left-1/2 -translate-x-1/2 text-[9px] font-mono font-bold whitespace-nowrap px-2 py-0.5 rounded-full"
+                    style={{ color: agent.color, background: `color-mix(in srgb, ${agent.color} 15%, var(--surface-strong))`, border: `1px solid ${agent.color}44` }}
+                  >
+                    {STATE_LABEL[anim.state]}
+                  </motion.div>
+                )}
+              </AnimatePresence>
+
+              <div className={`sprite-wrap ${selected ? 'selected' : ''} ${busy ? 'busy' : ''}`} style={{ '--sprite-color': agent.color } as CSSProperties}>
+                <AgentSprite
+                  agentId={agent.id}
+                  color={agent.color}
+                  icon={agent.icon}
+                  state={anim.state}
+                  label={agent.name.split(' ')[0]}
+                />
+              </div>
+            </motion.div>
+          )
+        })}
+      </div>
+    </div>
+  )
+}

src/components/PromptBar.tsx

@@ -0,0 +1,33 @@
+import { FormEvent, useState } from 'react'
+
+type Props = {
+  onSubmit: (message: string) => void
+  busy: boolean
+}
+
+export function PromptBar({ onSubmit, busy }: Props) {
+  const [text, setText] = useState('')
+
+  const handle = (e: FormEvent) => {
+    e.preventDefault()
+    if (!text.trim() || busy) return
+    onSubmit(text.trim())
+    setText('')
+  }
+
+  return (
+    <form onSubmit={handle} className="panel rounded-2xl p-4 flex gap-3 items-center">
+      <span className="text-2xl shrink-0" aria-hidden>💬</span>
+      <input
+        className="prompt-input"
+        placeholder="Vraag je agents... bijv. Hoe staat de GPU? Welk model draait er?"
+        value={text}
+        onChange={(e) => setText(e.target.value)}
+        disabled={busy}
+      />
+      <button type="submit" disabled={busy || !text.trim()} className="btn-primary shrink-0">
+        {busy ? 'Bezig...' : 'Send'}
+      </button>
+    </form>
+  )
+}

src/components/ThemeToggle.tsx

@@ -0,0 +1,23 @@
+import { useTheme } from '../context/ThemeContext'
+
+export function ThemeToggle() {
+  const { theme, toggle } = useTheme()
+  const isDark = theme === 'dark'
+
+  return (
+    <button
+      type="button"
+      onClick={toggle}
+      className="theme-toggle"
+      aria-label={isDark ? 'Switch to light mode' : 'Switch to dark mode'}
+      title={isDark ? 'Light mode' : 'Dark mode'}
+    >
+      <span className={`theme-toggle-track ${isDark ? 'is-dark' : ''}`}>
+        <span className="theme-toggle-thumb">{isDark ? '🌙' : '☀️'}</span>
+      </span>
+      <span className="text-xs font-mono hidden sm:inline text-[var(--text-muted)]">
+        {isDark ? 'Dark' : 'Light'}
+      </span>
+    </button>
+  )
+}

src/context/ThemeContext.tsx

@@ -0,0 +1,46 @@
+import { createContext, useContext, useEffect, useState, type ReactNode } from 'react'
+
+export type Theme = 'light' | 'dark'
+
+type ThemeContextValue = {
+  theme: Theme
+  toggle: () => void
+  setTheme: (t: Theme) => void
+}
+
+const ThemeContext = createContext<ThemeContextValue | null>(null)
+const STORAGE_KEY = 'atc-command-center-theme'
+
+function readStored(): Theme {
+  const v = localStorage.getItem(STORAGE_KEY)
+  return v === 'dark' || v === 'light' ? v : 'light'
+}
+
+export function ThemeProvider({ children }: { children: ReactNode }) {
+  const [theme, setThemeState] = useState<Theme>(() => {
+    if (typeof window === 'undefined') return 'light'
+    return readStored()
+  })
+
+  useEffect(() => {
+    const root = document.documentElement
+    root.classList.remove('light', 'dark')
+    root.classList.add(theme)
+    localStorage.setItem(STORAGE_KEY, theme)
+  }, [theme])
+
+  const setTheme = (t: Theme) => setThemeState(t)
+  const toggle = () => setThemeState((t) => (t === 'light' ? 'dark' : 'light'))
+
+  return (
+    <ThemeContext.Provider value={{ theme, toggle, setTheme }}>
+      {children}
+    </ThemeContext.Provider>
+  )
+}
+
+export function useTheme() {
+  const ctx = useContext(ThemeContext)
+  if (!ctx) throw new Error('useTheme outside ThemeProvider')
+  return ctx
+}

src/index.css

@@ -0,0 +1,629 @@
+@tailwind base;
+@tailwind components;
+@tailwind utilities;
+
+:root,
+.light {
+  --bg-1: #e8f4fc;
+  --bg-2: #f4f7fb;
+  --bg-3: #f5f0ff;
+  --grid-color: rgba(8, 145, 178, 0.06);
+  --surface: rgba(255, 255, 255, 0.72);
+  --surface-strong: rgba(255, 255, 255, 0.94);
+  --surface-elevated: #f1f5f9;
+  --surface-muted: #e2e8f0;
+  --text: #0f172a;
+  --text-muted: #64748b;
+  --text-faint: #94a3b8;
+  --border: rgba(15, 23, 42, 0.09);
+  --accent: #0891b2;
+  --accent-gpu: #65a30d;
+  --accent-secondary: #7c3aed;
+  --glow: rgba(8, 145, 178, 0.22);
+  --status-ok: #16a34a;
+  --status-ok-bg: rgba(22, 163, 74, 0.1);
+  --status-warn: #d97706;
+  --status-warn-bg: rgba(217, 119, 6, 0.1);
+  --status-down: #dc2626;
+  --status-down-bg: rgba(220, 38, 38, 0.08);
+  --shadow: 0 12px 40px rgba(15, 40, 80, 0.09);
+  --floor-bg: linear-gradient(180deg, #f1f5f9 0%, #ffffff 100%);
+  --aurora-1: rgba(8, 145, 178, 0.12);
+  --aurora-2: rgba(124, 58, 237, 0.08);
+}
+
+.dark {
+  --bg-1: #050810;
+  --bg-2: #0a0f1a;
+  --bg-3: #100818;
+  --grid-color: rgba(34, 211, 238, 0.05);
+  --surface: rgba(12, 18, 32, 0.78);
+  --surface-strong: rgba(16, 22, 38, 0.94);
+  --surface-elevated: #1a2236;
+  --surface-muted: #243049;
+  --text: #eef2f9;
+  --text-muted: #94a3b8;
+  --text-faint: #64748b;
+  --border: rgba(34, 211, 238, 0.14);
+  --accent: #22d3ee;
+  --accent-gpu: #a3e635;
+  --accent-secondary: #c084fc;
+  --glow: rgba(34, 211, 238, 0.28);
+  --status-ok: #4ade80;
+  --status-ok-bg: rgba(74, 222, 128, 0.12);
+  --status-warn: #fbbf24;
+  --status-warn-bg: rgba(251, 191, 36, 0.12);
+  --status-down: #f87171;
+  --status-down-bg: rgba(248, 113, 113, 0.12);
+  --shadow: 0 12px 48px rgba(0, 0, 0, 0.5);
+  --floor-bg: linear-gradient(180deg, #121a2e 0%, #0a0e18 100%);
+  --aurora-1: rgba(34, 211, 238, 0.15);
+  --aurora-2: rgba(192, 132, 252, 0.1);
+}
+
+body {
+  margin: 0;
+  min-height: 100vh;
+  color: var(--text);
+  background: linear-gradient(145deg, var(--bg-1) 0%, var(--bg-2) 45%, var(--bg-3) 100%);
+  background-attachment: fixed;
+  transition: background 0.4s ease, color 0.4s ease;
+}
+
+body::before {
+  content: '';
+  position: fixed;
+  inset: 0;
+  background-image:
+    radial-gradient(ellipse 80% 50% at 20% 0%, var(--aurora-1), transparent 50%),
+    radial-gradient(ellipse 60% 40% at 80% 10%, var(--aurora-2), transparent 45%),
+    linear-gradient(var(--grid-color) 1px, transparent 1px),
+    linear-gradient(90deg, var(--grid-color) 1px, transparent 1px);
+  background-size: 100% 100%, 100% 100%, 40px 40px, 40px 40px;
+  pointer-events: none;
+  z-index: 0;
+}
+
+#root { position: relative; z-index: 1; }
+
+.section-eyebrow {
+  @apply text-[10px] font-mono uppercase tracking-[0.2em] text-[var(--text-faint)] mb-0.5;
+}
+
+.panel {
+  background: var(--surface-strong);
+  backdrop-filter: blur(20px);
+  border: 1px solid var(--border);
+  box-shadow: var(--shadow);
+  transition: background 0.35s ease, border-color 0.35s ease, box-shadow 0.35s ease;
+}
+
+.neon-text { text-shadow: 0 0 32px var(--glow); }
+
+.logo-mark {
+  @apply w-12 h-12 rounded-2xl flex items-center justify-center text-sm font-bold text-white shrink-0;
+  background: linear-gradient(135deg, var(--accent), var(--accent-secondary));
+  box-shadow: 0 4px 28px var(--glow);
+}
+
+.header-aurora {
+  position: absolute;
+  inset: 0;
+  background: linear-gradient(90deg, transparent, var(--aurora-1), transparent);
+  opacity: 0.6;
+  pointer-events: none;
+}
+
+.status-pill {
+  @apply text-xs font-mono px-3 py-1.5 rounded-full border inline-flex items-center gap-1.5;
+}
+.status-pill::before { content: '●'; font-size: 8px; }
+.status-pill.ok { color: var(--status-ok); border-color: var(--status-ok); background: var(--status-ok-bg); }
+.status-pill.warn { color: var(--status-warn); border-color: var(--status-warn); background: var(--status-warn-bg); }
+.status-pill.gpu { color: var(--accent-gpu); border-color: var(--accent-gpu); background: color-mix(in srgb, var(--accent-gpu) 10%, transparent); }
+
+.live-badge {
+  @apply text-xs font-mono px-2.5 py-1 rounded-full border animate-pulse;
+  color: var(--status-ok);
+  border-color: var(--status-ok);
+  background: var(--status-ok-bg);
+}
+
+/* Agent cards */
+.agent-roster-glow {
+  background: radial-gradient(ellipse at 50% 0%, var(--aurora-1), transparent 70%);
+}
+
+.agent-card {
+  @apply rounded-2xl p-[1px] transition-all duration-300 cursor-pointer;
+  background: var(--border);
+}
+.agent-card:hover,
+.agent-card.selected {
+  background: linear-gradient(135deg, var(--agent-color, var(--accent)), var(--accent-secondary));
+  box-shadow: 0 8px 32px color-mix(in srgb, var(--agent-color, var(--accent)) 25%, transparent);
+}
+.agent-card-inner {
+  background: var(--surface-strong);
+  min-height: 200px;
+}
+.agent-card.selected .agent-card-inner {
+  background: color-mix(in srgb, var(--agent-color, var(--accent)) 4%, var(--surface-strong));
+}
+
+.agent-avatar {
+  @apply relative w-11 h-11 rounded-xl flex items-center justify-center border-2;
+}
+.agent-status-dot {
+  @apply absolute -bottom-0.5 -right-0.5 w-3 h-3 rounded-full border-2;
+  border-color: var(--surface-strong);
+}
+.agent-status-dot.active { animation: pulse-dot 1.2s ease infinite; }
+
+.agent-state-pill {
+  @apply text-[10px] font-mono px-2 py-0.5 rounded-full bg-[var(--surface-elevated)];
+}
+.agent-state-pill.busy { background: color-mix(in srgb, currentColor 12%, transparent); }
+
+.cap-chip {
+  @apply text-[9px] font-mono px-1.5 py-0.5 rounded-md;
+  background: var(--surface-elevated);
+  color: var(--text-muted);
+  border: 1px solid var(--border);
+}
+
+.delegate-btn {
+  background: color-mix(in srgb, currentColor 8%, transparent);
+  border: 1px solid color-mix(in srgb, currentColor 25%, transparent);
+  transition: all 0.15s ease;
+}
+.delegate-btn:hover {
+  background: color-mix(in srgb, currentColor 18%, transparent);
+}
+
+/* Ops floor */
+.ops-floor-stage {
+  background: var(--floor-bg);
+  border-color: var(--border);
+  overflow: hidden;
+}
+.ops-floor-scan {
+  position: absolute;
+  inset: 0;
+  background: linear-gradient(180deg, transparent 0%, color-mix(in srgb, var(--accent) 4%, transparent) 50%, transparent 100%);
+  animation: scan 4s ease-in-out infinite;
+  pointer-events: none;
+}
+.zone-node {
+  background: var(--surface-strong);
+}
+
+.sprite-wrap.selected::after {
+  content: '';
+  position: absolute;
+  inset: -10px -6px;
+  border-radius: 50%;
+  border: 2px dashed var(--sprite-color, var(--accent));
+  opacity: 0.65;
+  animation: spin-slow 10s linear infinite;
+  pointer-events: none;
+}
+.sprite-wrap { position: relative; }
+.sprite-wrap.busy {
+  filter: drop-shadow(0 0 16px var(--sprite-color)) drop-shadow(0 4px 8px rgba(0,0,0,0.3));
+}
+
+.sprite-figure {
+  position: relative;
+  display: flex;
+  align-items: center;
+  justify-content: center;
+}
+.sprite-figure-busy .sprite-svg {
+  filter: drop-shadow(0 0 8px var(--sprite-color, var(--accent)));
+}
+.sprite-ring-outer {
+  position: absolute;
+  inset: -4px 2px 16px 2px;
+  border-radius: 50%;
+  border: 1.5px solid;
+  pointer-events: none;
+}
+.sprite-holo-shimmer {
+  position: absolute;
+  inset: 0;
+  border-radius: 40%;
+  pointer-events: none;
+  animation: holo-shimmer 3s ease-in-out infinite;
+  opacity: 0.7;
+}
+.sprite-nameplate {
+  @apply flex items-center gap-1.5 mt-1.5 px-2.5 py-0.5 rounded-full border;
+  background: color-mix(in srgb, var(--surface-strong) 85%, transparent);
+  backdrop-filter: blur(6px);
+}
+.sprite-nameplate-dot {
+  @apply w-1.5 h-1.5 rounded-full shrink-0;
+}
+.sprite-nameplate-text {
+  @apply text-[10px] font-mono font-bold tracking-wide;
+}
+.sprite-platform-pulse {
+  animation: platform-pulse 2s ease-in-out infinite;
+}
+.sprite-core-pulse {
+  animation: pulse-dot 1.5s ease infinite;
+}
+.sprite-svg { overflow: visible; }
+
+.sprite-ring {
+  position: absolute;
+  inset: -6px;
+  border-radius: 50%;
+  border: 2px solid;
+  animation: pulse-ring 1.5s ease infinite;
+}
+
+/* Activity feed */
+.activity-feed { scrollbar-width: thin; }
+.activity-item { @apply flex gap-3; }
+.activity-rail { @apply flex flex-col items-center w-4 shrink-0; }
+.activity-dot { @apply w-2.5 h-2.5 rounded-full shrink-0 mt-1.5; }
+.activity-line { @apply w-px flex-1 bg-[var(--border)] min-h-[1rem]; }
+.activity-agent-badge {
+  @apply text-[10px] font-mono px-2 py-0.5 rounded-full border;
+  background: var(--surface-elevated);
+}
+
+.empty-state {
+  @apply text-sm text-[var(--text-muted)] text-center py-8;
+}
+
+/* Chat */
+.chat-message { @apply flex gap-2 items-end; }
+.chat-message.user { @apply flex-row-reverse; }
+.chat-avatar {
+  @apply w-8 h-8 rounded-xl flex items-center justify-center text-sm shrink-0 border;
+}
+.chat-bubble { @apply rounded-2xl px-3 py-2 max-w-[90%]; }
+.chat-meta {
+  @apply text-[10px] font-mono text-[var(--text-faint)] flex gap-2 mb-1;
+}
+.chat-text { @apply text-sm leading-relaxed; }
+.chat-bubble-user {
+  background: color-mix(in srgb, var(--accent) 14%, var(--surface-elevated));
+  border: 1px solid color-mix(in srgb, var(--accent) 28%, transparent);
+}
+.chat-bubble-agent {
+  background: var(--surface-elevated);
+  border: 1px solid var(--border);
+}
+
+.thinking-pulse { animation: pulse-dot 1s ease infinite; }
+.typing-indicator { @apply flex gap-1 py-1; }
+.typing-indicator span {
+  @apply w-1.5 h-1.5 rounded-full bg-[var(--text-faint)];
+  animation: typing 1.2s ease infinite;
+}
+.typing-indicator span:nth-child(2) { animation-delay: 0.15s; }
+.typing-indicator span:nth-child(3) { animation-delay: 0.3s; }
+
+/* Command dock */
+.command-dock { border-color: color-mix(in srgb, var(--accent) 20%, var(--border)); }
+.command-input-wrap {
+  background: var(--surface-elevated);
+  border: 1px solid var(--border);
+  transition: border-color 0.2s, box-shadow 0.2s;
+}
+.command-input-wrap:focus-within {
+  border-color: var(--accent);
+  box-shadow: 0 0 0 3px var(--glow);
+}
+
+.quick-prompt-chip {
+  @apply text-xs font-mono px-3 py-1.5 rounded-full border transition-all disabled:opacity-40;
+  background: var(--surface-elevated);
+  border-color: var(--border);
+  color: var(--text-muted);
+}
+.quick-prompt-chip:hover:not(:disabled) {
+  border-color: var(--accent);
+  color: var(--accent);
+  background: color-mix(in srgb, var(--accent) 8%, var(--surface-elevated));
+}
+
+/* Shared */
+.status-card {
+  background: var(--surface-strong);
+  border: 1px solid var(--border);
+  transition: transform 0.15s ease, box-shadow 0.15s ease;
+}
+.status-card:hover { transform: translateY(-2px); box-shadow: var(--shadow); }
+
+.gpu-card { background: var(--surface-elevated); transition: border-color 0.2s ease; }
+.gpu-card:hover { border-color: var(--accent-gpu); }
+
+.btn-primary {
+  @apply px-5 py-2.5 rounded-xl font-display text-sm font-semibold text-white transition-all hover:brightness-110 disabled:opacity-40;
+  background: linear-gradient(135deg, var(--accent), var(--accent-secondary));
+  box-shadow: 0 4px 24px var(--glow);
+}
+.btn-secondary {
+  @apply px-3 py-1.5 rounded-lg font-mono border transition-all;
+  background: var(--surface-elevated);
+  border-color: var(--border);
+  color: var(--accent);
+}
+.btn-secondary:hover { border-color: var(--accent); box-shadow: 0 0 16px var(--glow); }
+
+.tab-btn {
+  @apply px-4 py-2 rounded-xl text-sm font-mono border transition-all inline-flex items-center gap-2;
+  border-color: var(--border);
+  color: var(--text-muted);
+  background: var(--surface);
+}
+.tab-btn.active {
+  border-color: var(--accent);
+  color: var(--accent);
+  background: var(--surface-strong);
+  box-shadow: 0 0 24px var(--glow);
+  font-weight: 600;
+}
+.tab-badge {
+  @apply text-[10px] px-1.5 py-0.5 rounded-full font-bold;
+  background: var(--accent-secondary);
+  color: white;
+}
+
+.theme-toggle {
+  @apply flex items-center gap-2 px-2 py-1 rounded-xl border transition-all;
+  border-color: var(--border);
+  background: var(--surface-elevated);
+}
+.theme-toggle:hover { border-color: var(--accent); }
+.theme-toggle-track { @apply relative w-11 h-6 rounded-full transition-colors; background: var(--surface-muted); }
+.theme-toggle-track.is-dark { background: linear-gradient(90deg, #1e293b, #312e81); }
+.theme-toggle-thumb {
+  @apply absolute top-0.5 left-0.5 w-5 h-5 rounded-full flex items-center justify-center text-xs transition-transform;
+  background: var(--surface-strong);
+  box-shadow: 0 2px 6px rgba(0, 0, 0, 0.2);
+}
+.theme-toggle-track.is-dark .theme-toggle-thumb { transform: translateX(1.25rem); }
+
+.prompt-input {
+  @apply flex-1 rounded-xl px-4 py-2.5 outline-none font-mono text-sm transition;
+  background: var(--surface-elevated);
+  border: 1px solid var(--border);
+  color: var(--text);
+}
+.prompt-input::placeholder { color: var(--text-faint); }
+.prompt-input:focus { border-color: var(--accent); box-shadow: 0 0 0 3px var(--glow); }
+
+.agent-sprite .sprite-body { fill: var(--surface-strong); }
+.agent-sprite .sprite-limb { fill: var(--surface-elevated); }
+.agent-sprite .sprite-head { fill: var(--surface-strong); }
+
+/* Agent terminals */
+.agent-terminal {
+  @apply rounded-xl border overflow-hidden flex flex-col cursor-pointer transition-all;
+  border-color: var(--border);
+  background: #0a0e14;
+  min-height: 200px;
+  max-height: 240px;
+}
+.dark .agent-terminal { background: #060a10; }
+.light .agent-terminal { background: #0f172a; }
+
+.agent-terminal.active {
+  border-color: color-mix(in srgb, var(--term-accent, var(--accent)) 55%, transparent);
+  box-shadow: 0 0 24px color-mix(in srgb, var(--term-accent, var(--accent)) 15%, transparent);
+}
+.agent-terminal.expanded {
+  max-height: 480px;
+  min-height: 400px;
+}
+.agent-terminal-header {
+  @apply flex items-center justify-between gap-2 px-3 py-2 border-b;
+  border-color: rgba(255,255,255,0.06);
+  background: rgba(0,0,0,0.25);
+}
+.agent-terminal-body {
+  @apply flex-1 overflow-y-auto p-2 font-mono text-[11px] leading-relaxed;
+  scrollbar-width: thin;
+}
+.term-line {
+  @apply flex gap-2 py-0.5;
+  word-break: break-word;
+}
+.term-ts {
+  @apply shrink-0 text-[10px] opacity-50 w-[4.5rem];
+  color: #64748b;
+}
+.term-phase {
+  @apply shrink-0 text-[9px] uppercase w-10 opacity-40 hidden sm:inline;
+}
+.term-text { flex: 1; }
+.term-info .term-text { color: #94a3b8; }
+.term-ok .term-text { color: #4ade80; }
+.term-warn .term-text { color: #fbbf24; }
+.term-err .term-text { color: #f87171; }
+.term-cmd .term-text { color: #67e8f9; }
+.term-llm .term-text { color: #c084fc; }
+.term-live-badge {
+  @apply text-[9px] font-mono px-1.5 py-0.5 rounded-full animate-pulse;
+  color: var(--term-accent, var(--accent));
+  border: 1px solid color-mix(in srgb, var(--term-accent, var(--accent)) 40%, transparent);
+}
+.term-cursor { animation: blink 1s step-end infinite; color: var(--term-accent, var(--accent)); }
+.agent-terminal-focus { @apply flex flex-col gap-3; }
+.agent-terminal-tabs { @apply flex flex-wrap gap-2; }
+.agent-terminal-tab {
+  @apply text-xs font-mono px-3 py-1.5 rounded-lg border transition-all;
+  border-color: var(--border);
+  color: var(--text-muted);
+  background: var(--surface-elevated);
+}
+.agent-terminal-tab.active { font-weight: 600; background: var(--surface-strong); }
+
+@keyframes blink {
+  0%, 100% { opacity: 1; }
+  50% { opacity: 0; }
+}
+
+@keyframes pulse-dot {
+  0%, 100% { opacity: 1; transform: scale(1); }
+  50% { opacity: 0.6; transform: scale(1.15); }
+}
+@keyframes pulse-ring {
+  0%, 100% { opacity: 0.8; transform: scale(1); }
+  50% { opacity: 0.4; transform: scale(1.08); }
+}
+@keyframes scan {
+  0%, 100% { transform: translateY(-100%); opacity: 0; }
+  50% { opacity: 1; }
+  100% { transform: translateY(100%); }
+}
+@keyframes spin-slow { to { transform: rotate(360deg); } }
+@keyframes holo-shimmer {
+  0%, 100% { opacity: 0.4; transform: translateX(-2px); }
+  50% { opacity: 0.85; transform: translateX(2px); }
+}
+@keyframes platform-pulse {
+  0%, 100% { opacity: 0.35; transform: scaleX(1); }
+  50% { opacity: 0.7; transform: scaleX(1.08); }
+}
+@keyframes typing {
+  0%, 60%, 100% { transform: translateY(0); opacity: 0.4; }
+  30% { transform: translateY(-4px); opacity: 1; }
+}
+
+/* Live cluster map */
+.live-cluster-map { isolation: isolate; }
+.cluster-ambient {
+  position: absolute;
+  inset: 0;
+  background: radial-gradient(ellipse 70% 50% at 50% 30%, var(--aurora-1), transparent 60%);
+  pointer-events: none;
+}
+.cluster-stage-grid {
+  position: absolute;
+  inset: 0;
+  background-image: linear-gradient(var(--grid-color) 1px, transparent 1px),
+    linear-gradient(90deg, var(--grid-color) 1px, transparent 1px);
+  background-size: 24px 24px;
+  opacity: 0.5;
+  border-radius: inherit;
+}
+.cluster-agent-stage { overflow: hidden; }
+
+.zone-tower {
+  @apply rounded-xl px-2.5 py-2 text-center min-w-[84px] border-2;
+  background: color-mix(in srgb, var(--surface-strong) 90%, transparent);
+  backdrop-filter: blur(8px);
+}
+.zone-tower-live { animation: tower-breathe 3s ease-in-out infinite; }
+.zone-tower-active { transform: scale(1.05); }
+.zone-tower-label { @apply text-[8px] font-mono font-bold tracking-wider; }
+.zone-tower-stats { @apply text-[10px] font-mono font-semibold mt-0.5 flex items-center justify-center gap-1; }
+.zone-tower-extra { @apply text-[8px] font-mono opacity-70 mt-0.5; }
+.zone-level-dot { @apply w-1.5 h-1.5 rounded-full; }
+.zone-level-dot.level-ok { background: var(--status-ok); box-shadow: 0 0 6px var(--status-ok); }
+.zone-level-dot.level-warn { background: var(--status-warn); }
+.zone-level-dot.level-down { background: var(--status-down); }
+
+.zone-app-orbit {
+  @apply flex flex-col gap-0.5 mt-1 max-w-[90px];
+}
+.zone-app-chip {
+  @apply flex items-center gap-1 text-[8px] font-mono px-1.5 py-0.5 rounded-md border;
+  background: var(--surface-strong);
+}
+.zone-app-chip.state-running { opacity: 1; }
+.zone-app-chip.state-down, .zone-app-chip.state-created { opacity: 0.45; filter: grayscale(0.5); }
+
+.command-desk {
+  @apply relative px-4 py-2 rounded-xl text-[9px] font-mono font-bold tracking-widest border-2;
+  border-color: var(--accent);
+  color: var(--accent);
+  background: var(--surface-strong);
+}
+.command-desk-ring {
+  @apply absolute inset-0 rounded-xl border border-[var(--accent)] opacity-30 animate-ping;
+  pointer-events: none;
+}
+
+.gpu-beacon {
+  @apply rounded-xl border px-3 py-2 text-left min-w-[140px];
+  border-color: var(--accent-gpu);
+  background: color-mix(in srgb, var(--accent-gpu) 8%, var(--surface-strong));
+}
+.gpu-beacon-title { @apply text-[9px] font-mono font-bold text-[var(--accent-gpu)]; }
+.gpu-beacon-model { @apply text-xs font-semibold text-[var(--text)] mt-0.5; }
+.gpu-beacon-meta { @apply text-[9px] font-mono text-[var(--text-muted)]; }
+.gpu-beacon-bar { @apply h-1 rounded-full bg-[var(--surface-muted)] mt-2 overflow-hidden; }
+.gpu-beacon-fill { @apply h-full rounded-full bg-[var(--accent-gpu)]; }
+
+.workload-ticker-wrap {
+  @apply flex items-center gap-3 overflow-hidden rounded-xl border px-3 py-2;
+  border-color: var(--border);
+  background: var(--surface-elevated);
+}
+.workload-ticker-label {
+  @apply text-[9px] font-mono font-bold tracking-widest shrink-0 text-[var(--accent)];
+}
+.workload-ticker-track { @apply flex-1 overflow-hidden; }
+.workload-ticker-inner { @apply flex gap-2 whitespace-nowrap; }
+.ticker-chip {
+  @apply inline-flex items-center gap-1 text-[10px] font-mono px-2 py-0.5 rounded-full border;
+  background: var(--surface-strong);
+}
+.ticker-chip.state-running { opacity: 1; }
+.ticker-chip.state-down, .ticker-chip.state-created { opacity: 0.4; }
+
+.live-domain-card {
+  @apply rounded-xl p-4 border-2 transition-all;
+  background: var(--surface-strong);
+}
+.domain-pulse-dot { @apply w-2.5 h-2.5 rounded-full shrink-0; }
+.domain-pulse-dot.level-ok { background: var(--status-ok); }
+.domain-pulse-dot.level-warn { background: var(--status-warn); }
+.domain-pulse-dot.level-down { background: var(--status-down); }
+.domain-progress-bar { @apply h-1.5 rounded-full bg-[var(--surface-muted)] overflow-hidden; }
+.domain-progress-fill { @apply h-full rounded-full; }
+.domain-app-grid {
+  @apply grid grid-cols-3 gap-1;
+}
+.domain-app-tile {
+  @apply flex flex-col items-center text-[8px] font-mono p-1 rounded-md border border-[var(--border)];
+  background: var(--surface-elevated);
+}
+.domain-app-tile.state-down { opacity: 0.35; }
+.gpu-mini-tile {
+  @apply text-[8px] font-mono px-1.5 py-0.5 rounded border border-[var(--accent-gpu)] text-[var(--accent-gpu)];
+  background: color-mix(in srgb, var(--accent-gpu) 10%, transparent);
+}
+
+.ambient-bg { pointer-events: none; }
+.ambient-orb {
+  position: absolute;
+  width: 120px;
+  height: 120px;
+  border-radius: 50%;
+  background: radial-gradient(circle, var(--aurora-1), transparent 70%);
+  animation: orb-float linear infinite;
+  opacity: 0.35;
+}
+
+@keyframes tower-breathe {
+  0%, 100% { filter: brightness(1); }
+  50% { filter: brightness(1.15); }
+}
+@keyframes orb-float {
+  0%, 100% { transform: translate(0, 0) scale(1); opacity: 0.2; }
+  33% { transform: translate(20px, -30px) scale(1.1); opacity: 0.4; }
+  66% { transform: translate(-15px, 20px) scale(0.9); opacity: 0.25; }
+}
+@keyframes ticker-scroll {
+  from { transform: translateX(0); }
+  to { transform: translateX(-50%); }
+}

src/lib/appIcons.ts

@@ -0,0 +1,41 @@
+const ICON_MAP: [RegExp, string][] = [
+  [/trino/i, '🔷'],
+  [/spark/i, '⚡'],
+  [/kafka/i, '📨'],
+  [/connect/i, '🔗'],
+  [/postgres/i, '🐘'],
+  [/mysql/i, '🐬'],
+  [/mongo/i, '🍃'],
+  [/cassandra/i, '💿'],
+  [/neo4j/i, '🔴'],
+  [/airflow/i, '🌀'],
+  [/superset/i, '📊'],
+  [/forgejo|gitea/i, '🦊'],
+  [/homepage/i, '🏠'],
+  [/dockhand/i, '🐳'],
+  [/redis/i, '⚙️'],
+  [/nginx|caddy/i, '🌐'],
+  [/hdfs|namenode|datanode/i, '🌲'],
+  [/gpu|vllm|nvidia/i, '🎮'],
+  [/lam-|ldap/i, '👤'],
+  [/cadvisor/i, '📈'],
+]
+
+export function appIcon(name: string, image?: string): string {
+  const hay = `${name} ${image || ''}`
+  for (const [re, icon] of ICON_MAP) {
+    if (re.test(hay)) return icon
+  }
+  return '📦'
+}
+
+export function shortName(name: string, max = 14): string {
+  return name.length > max ? `${name.slice(0, max - 1)}…` : name
+}
+
+export const LEVEL_COLOR: Record<string, string> = {
+  ok: 'var(--status-ok)',
+  warn: 'var(--status-warn)',
+  down: 'var(--status-down)',
+  unknown: 'var(--text-faint)',
+}

src/main.tsx

@@ -0,0 +1,13 @@
+import React from 'react'
+import ReactDOM from 'react-dom/client'
+import App from './App'
+import { ThemeProvider } from './context/ThemeContext'
+import './index.css'
+
+ReactDOM.createRoot(document.getElementById('root')!).render(
+  <React.StrictMode>
+    <ThemeProvider>
+      <App />
+    </ThemeProvider>
+  </React.StrictMode>,
+)

src/types.ts

@@ -0,0 +1,134 @@
+export type AgentStats = {
+  tasks: number
+  last_active: string | null
+  alerts: number
+}
+
+export type Agent = {
+  id: string
+  name: string
+  color: string
+  zone: string
+  role: string
+  icon?: string
+  motto?: string
+  capabilities?: string[]
+  suggested_prompts?: string[]
+  stats?: AgentStats
+}
+
+export type Zone = { id: string; label: string; x: number; color: string }
+
+export type FeedEntry = {
+  id: string
+  ts: string
+  agent_id: string
+  message: string
+  level: string
+}
+
+export type DomainStatus = {
+  level: 'ok' | 'warn' | 'down' | 'unknown'
+  label: string
+}
+
+export type StatusData = {
+  ts: string
+  domains: Record<string, DomainStatus>
+  gpu?: GpuStatus
+}
+
+export type GpuDevice = {
+  index: number
+  name: string
+  util_gpu: number
+  memory_used_mib: number
+  memory_total_mib: number
+  temperature_c: number
+  power_w: number
+}
+
+export type GpuStatus = {
+  ok: boolean
+  host: string
+  ui_url: string
+  inference_active?: boolean
+  active_model?: string | null
+  vllm_url?: string | null
+  gpu_count?: number
+  gpus?: GpuDevice[]
+  error?: string
+}
+
+export type AgentState = 'idle' | 'walk' | 'fetch' | 'return'
+
+export type AgentAnim = {
+  agentId: string
+  state: AgentState
+  zone?: string
+}
+
+export type Approval = {
+  id: string
+  ts: string
+  agent_id: string
+  action: string
+  reason: string
+  status: string
+}
+
+export type TerminalLine = {
+  id: string
+  ts: string
+  agent_id: string
+  level: 'info' | 'ok' | 'warn' | 'err' | 'cmd' | 'llm'
+  phase: string
+  text: string
+  prompt_id?: string
+}
+
+export type WorkloadApp = {
+  name: string
+  state: string
+  image: string
+  ports: string[]
+}
+
+export type WorkloadZone = {
+  id: string
+  label: string
+  x: number
+  color: string
+  level: 'ok' | 'warn' | 'down' | 'unknown'
+  running: number
+  total: number
+  apps: WorkloadApp[]
+  trino_ok?: boolean
+  hdfs_used_gb?: number
+  hdfs_total_gb?: number
+}
+
+export type WorkloadData = {
+  ts: string
+  zones: WorkloadZone[]
+  gpu: {
+    level: string
+    model?: string | null
+    inference_active?: boolean
+    gpu_count?: number
+    avg_util?: number
+    gpus?: GpuDevice[]
+  }
+  totals: {
+    apps_running: number
+    apps_total: number
+    connectors: number
+  }
+}
+
+export type ChatMessage = {
+  role: 'user' | 'agent'
+  text: string
+  agent?: string
+  ts?: string
+}

tailwind.config.js

@@ -0,0 +1,14 @@
+/** @type {import('tailwindcss').Config} */
+export default {
+  content: ['./index.html', './src/**/*.{js,ts,jsx,tsx}'],
+  darkMode: 'class',
+  theme: {
+    extend: {
+      fontFamily: {
+        display: ['"Space Grotesk"', 'system-ui', 'sans-serif'],
+        mono: ['"JetBrains Mono"', 'monospace'],
+      },
+    },
+  },
+  plugins: [],
+}

tsconfig.json

@@ -0,0 +1,17 @@
+{
+  "compilerOptions": {
+    "target": "ES2020",
+    "useDefineForClassFields": true,
+    "lib": ["ES2020", "DOM", "DOM.Iterable"],
+    "module": "ESNext",
+    "skipLibCheck": true,
+    "moduleResolution": "bundler",
+    "allowImportingTsExtensions": true,
+    "resolveJsonModule": true,
+    "isolatedModules": true,
+    "noEmit": true,
+    "jsx": "react-jsx",
+    "strict": true
+  },
+  "include": ["src"]
+}

ui/index.html

@@ -1,14 +1,14 @@
 <!DOCTYPE html>
-<html lang="en">
+<html lang="en" class="light">
   <head>
     <meta charset="UTF-8" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>ATC Command Center</title>
+    <title>ATC Data & AI Command Center</title>
     <link rel="preconnect" href="https://fonts.googleapis.com" />
     <link rel="preconnect" href="https://fonts.gstatic.com" crossorigin />
-    <link href="https://fonts.googleapis.com/css2?family=JetBrains+Mono:wght@400;600&family=Space+Grotesk:wght@400;600;700&display=swap" rel="stylesheet" />
+    <link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;500;600;700&family=JetBrains+Mono:wght@400;500;600&display=swap" rel="stylesheet" />
   </head>
-  <body class="text-ink">
+  <body class="antialiased">
     <div id="root"></div>
     <script type="module" src="/src/main.tsx"></script>
   </body>

ui/nginx.conf

@@ -11,6 +11,17 @@ server {
         proxy_set_header Host $host;
     }
 
+    location /assets/ {
+        add_header Cache-Control "public, max-age=31536000, immutable";
+        try_files $uri =404;
+    }
+
+    location = /index.html {
+        add_header Cache-Control "no-cache, no-store, must-revalidate";
+        add_header Pragma "no-cache";
+        add_header Expires "0";
+    }
+
     location / {
         try_files $uri $uri/ /index.html;
     }

ui/package.json

@@ -1,7 +1,7 @@
 {
   "name": "atc-command-center",
   "private": true,
-  "version": "0.1.0",
+  "version": "2.0.0",
   "type": "module",
   "scripts": {
     "dev": "vite",
@@ -9,9 +9,13 @@
     "preview": "vite preview"
   },
   "dependencies": {
-    "framer-motion": "^11.15.0",
+    "@tanstack/react-query": "^5.62.8",
+    "class-variance-authority": "^0.7.1",
+    "clsx": "^2.1.1",
+    "lucide-react": "^0.469.0",
     "react": "^18.3.1",
-    "react-dom": "^18.3.1"
+    "react-dom": "^18.3.1",
+    "tailwind-merge": "^2.6.0"
   },
   "devDependencies": {
     "@types/react": "^18.3.12",

ui/src/App.tsx

@@ -1,218 +1,178 @@
-import { useCallback, useEffect, useState } from 'react'
+import { useRef, useState } from 'react'
-import { OpsFloor } from './components/OpsFloor'
+import { useClock } from './hooks/useClock'
-import { PromptBar } from './components/PromptBar'
+import { useCommandCenter } from './hooks/useCommandCenter'
-import type { Agent, AgentAnim, Approval, FeedEntry, StatusData, Zone } from './types'
+import { useLiveMetrics } from './hooks/useLiveMetrics'
-
+import { SideNav } from './components/layout/SideNav'
-const TABS = ['Overview', 'Agents', 'Feed', 'Approvals', 'Audit'] as const
+import { TopBar } from './components/layout/TopBar'
-type Tab = (typeof TABS)[number]
+import { AgentFleet } from './components/features/AgentFleet'
-
+import { ApprovalInbox } from './components/features/ApprovalInbox'
-const LEVEL_COLOR = { ok: '#22aa44', warn: '#cc7700', down: '#dd3355', unknown: '#8b9cb3' }
+import { ChatDrawer } from './components/features/ChatDrawer'
-const LEVEL_BG = { ok: '#e8f8ec', warn: '#fff6e6', down: '#ffeef2', unknown: '#f0f3f8' }
+import { GpuMonitor } from './components/features/GpuMonitor'
-
+import { InfraQuickAccess } from './components/features/InfraQuickAccess'
-function wsUrl() {
+import { InspectorPanel } from './components/features/InspectorPanel'
-  const proto = window.location.protocol === 'https:' ? 'wss' : 'ws'
+import { PlatformTopology } from './components/features/PlatformTopology'
-  const host = window.location.host
+import { PresentationView } from './components/features/PresentationView'
-  return `${proto}://${host}/api/ws/ops`
+import { DataQualityView } from './components/features/DataQualityView'
-}
+import { KnowledgeChatView } from './components/features/KnowledgeChatView'
+import { StorageView } from './components/features/StorageView'
+import { TerminalDock } from './components/features/TerminalDock'
+import { resolveInfraNode } from './lib/infraCatalog'
+import { cn } from './lib/utils'
 
 export default function App() {
-  const [tab, setTab] = useState<Tab>('Overview')
+  const clock = useClock()
-  const [agents, setAgents] = useState<Agent[]>([])
+  const cc = useCommandCenter()
-  const [zones, setZones] = useState<Zone[]>([])
+  const [gpuChatActive, setGpuChatActive] = useState(false)
-  const [status, setStatus] = useState<StatusData | null>(null)
+  const gpuBoost = gpuChatActive || cc.mainView === 'knowledge'
-  const [feed, setFeed] = useState<FeedEntry[]>([])
+  const { agentLoads, gpuLive } = useLiveMetrics(cc.agents, cc.gpu, cc.anims, gpuBoost)
-  const [approvals, setApprovals] = useState<Approval[]>([])
+  const mainScrollRef = useRef<HTMLDivElement>(null)
-  const [chat, setChat] = useState<{ role: 'user' | 'agent'; text: string; agent?: string }[]>([])
-  const [anims, setAnims] = useState<Record<string, AgentAnim>>({})
-  const [busy, setBusy] = useState(false)
 
-  const load = useCallback(async () => {
+  const isPlatform = cc.mainView === 'platform'
-    const [a, s, f, ap] = await Promise.all([
-      fetch('/api/agents').then((r) => r.json()),
-      fetch('/api/status').then((r) => r.json()),
-      fetch('/api/feed').then((r) => r.json()),
-      fetch('/api/approvals').then((r) => r.json()),
-    ])
-    setAgents(a.agents || [])
-    setZones(a.zones || [])
-    setStatus(s)
-    setFeed(f.entries || [])
-    setApprovals(ap.approvals || [])
-  }, [])
 
-  useEffect(() => {
+  const openApprovals = () => {
-    load()
+    cc.setMainView('approvals')
-    const ws = new WebSocket(wsUrl())
+    mainScrollRef.current?.scrollTo({ top: 0, behavior: 'smooth' })
-    ws.onmessage = (ev) => {
-      const msg = JSON.parse(ev.data)
-      if (msg.type === 'status') setStatus(msg.data)
-      if (msg.type === 'feed') setFeed((prev) => [msg.entry, ...prev].slice(0, 100))
-      if (msg.type === 'agent_dispatch') {
-        setAnims((p) => ({ ...p, [msg.agent_id]: { agentId: msg.agent_id, state: 'walk', zone: msg.zone } }))
-      }
-      if (msg.type === 'agent_fetch') {
-        setAnims((p) => ({ ...p, [msg.agent_id]: { agentId: msg.agent_id, state: 'fetch', zone: msg.zone } }))
-      }
-      if (msg.type === 'agent_return') {
-        setAnims((p) => ({ ...p, [msg.agent_id]: { agentId: msg.agent_id, state: 'return', zone: msg.zone } }))
-        setTimeout(() => {
-          setAnims((p) => ({ ...p, [msg.agent_id]: { agentId: msg.agent_id, state: 'idle' } }))
-        }, 1200)
-      }
-      if (msg.type === 'prompt_result') {
-        setChat((c) => [...c, { role: 'agent', text: msg.answer, agent: msg.agent_id }])
-        setBusy(false)
-      }
-    }
-    const iv = setInterval(load, 30000)
-    return () => { ws.close(); clearInterval(iv) }
-  }, [load])
-
-  const sendPrompt = async (message: string) => {
-    setBusy(true)
-    setChat((c) => [...c, { role: 'user', text: message }])
-    await fetch('/api/prompt', {
-      method: 'POST',
-      headers: { 'Content-Type': 'application/json' },
-      body: JSON.stringify({ message }),
-    })
   }
 
-  const decide = async (id: string, approved: boolean) => {
+  const terminalSubject = cc.terminalSubjectId
-    await fetch(`/api/approvals/${id}/decide`, {
+  const terminalLabel = (() => {
-      method: 'POST',
+    if (cc.selectedAgent) return cc.selectedAgent.name.split(' ·')[0]
-      headers: { 'Content-Type': 'application/json' },
+    const infra = resolveInfraNode(terminalSubject)
-      body: JSON.stringify({ approved }),
+    if (infra) return infra.label
-    })
+    if (cc.selectedNode) return cc.selectedNode.label
-    load()
+    return 'Lab'
-  }
+  })()
-
-  const allOk = status && Object.values(status.domains).every((d) => d.level === 'ok')
 
   return (
-    <div className="min-h-screen p-4 md:p-6 max-w-7xl mx-auto font-display flex flex-col gap-4">
+    <div className="flex h-full flex-col overflow-hidden bg-surface">
-      <header className="glass-strong rounded-2xl px-5 py-4 flex flex-wrap justify-between items-center gap-3">
+      <TopBar
-        <div className="flex items-center gap-4">
+        clock={clock}
-          <div
+        status={cc.status}
-            className="w-11 h-11 rounded-xl flex items-center justify-center text-xl font-bold text-white shadow-neon-cyan"
+        workload={cc.workload}
-            style={{ background: 'linear-gradient(135deg, #0099cc, #8844cc)' }}
+        agents={cc.agents}
-          >
+        approvals={cc.approvals}
-            ATC
+        onApprovalsClick={openApprovals}
-          </div>
+      />
-          <div>
-            <h1 className="text-2xl font-bold text-neon-cyan neon-text-cyan tracking-tight">Command Center</h1>
-            <p className="text-xs font-mono text-ink-muted">Agent ops floor · Dell ATC Lab</p>
-          </div>
-        </div>
-        <div className="flex items-center gap-3">
-          {status && (
-            <span className={`text-xs font-mono px-3 py-1.5 rounded-full border ${allOk ? 'bg-green-50 border-neon-green/30 text-neon-green' : 'bg-amber-50 border-neon-amber/30 text-neon-amber'}`}>
-              {allOk ? '● All systems operational' : '● Attention required'}
-            </span>
-          )}
-          {status && (
-            <span className="text-xs font-mono text-ink-faint">
-              Scan {new Date(status.ts).toLocaleTimeString()}
-            </span>
-          )}
-        </div>
-      </header>
 
-      <OpsFloor agents={agents} zones={zones} animations={anims} />
+      <div className="flex min-h-0 flex-1 overflow-hidden">
+        <SideNav
+          agents={cc.agents}
+          animations={cc.anims}
+          gpu={cc.gpu}
+          gpuLive={gpuLive}
+          gpuBoost={gpuBoost}
+          selectedAgentId={cc.selectedAgentId}
+          selectedNodeId={cc.selectedNodeId}
+          mainView={cc.mainView}
+          approvalCount={cc.approvals.length}
+          agentsLoading={cc.agentsLoading}
+          onSetMainView={cc.setMainView}
+          onOpenApprovals={openApprovals}
+          onSelectAgent={cc.selectAgent}
+          onSelectZone={cc.selectNode}
+        />
 
-      <nav className="flex gap-2 flex-wrap">
+        <div ref={mainScrollRef} className="scrollbar-thin flex min-h-0 min-w-0 flex-1 flex-col overflow-y-auto bg-surface">
-        {TABS.map((t) => (
+          <div className={cn('flex min-h-0 flex-1', isPlatform ? '' : 'flex-col')}>
-          <button
+            <div className={cn('flex min-w-0 flex-1 flex-col gap-2', isPlatform ? 'p-2' : 'min-h-0 p-3')}>
-            key={t}
+              {isPlatform && (
-            onClick={() => setTab(t)}
+                <>
-            className={`px-4 py-2 rounded-xl text-sm font-mono border transition-all ${
+                  <div className="grid shrink-0 grid-cols-1 gap-2 xl:grid-cols-[1fr_auto]">
-              tab === t
+                    <AgentFleet
-                ? 'bg-white border-neon-cyan text-neon-cyan shadow-neon-cyan font-semibold'
+                      agents={cc.agents}
-                : 'bg-white/60 border-slate-200 text-ink-muted hover:bg-white hover:border-neon-cyan/40'
+                      animations={cc.anims}
-            }`}
+                      selectedId={cc.selectedAgentId}
-          >
+                      loads={agentLoads}
-            {t}
+                      approvalCount={cc.approvals.length}
-          </button>
+                      onSelect={cc.selectAgent}
-        ))}
+                      onOpenApprovals={openApprovals}
-      </nav>
+                    />
-
+                    <GpuMonitor gpu={cc.gpu} live={gpuLive} />
-      <div className="grid grid-cols-1 lg:grid-cols-3 gap-4 flex-1">
-        <main className="lg:col-span-2 glass-strong rounded-2xl p-5 min-h-[260px]">
-          {tab === 'Overview' && status && (
-            <div className="grid grid-cols-2 md:grid-cols-3 gap-3">
-              {Object.entries(status.domains).map(([key, d]) => (
-                <div
-                  key={key}
-                  className="status-card rounded-xl p-4 border"
-                  style={{ borderColor: `${LEVEL_COLOR[d.level]}44`, background: LEVEL_BG[d.level] }}
-                >
-                  <div className="text-xs font-mono uppercase tracking-wider text-ink-muted">{key}</div>
-                  <div className="text-xl font-bold mt-1" style={{ color: LEVEL_COLOR[d.level] }}>{d.label}</div>
-                  <div className="flex items-center gap-2 mt-3">
-                    <div className="w-2.5 h-2.5 rounded-full animate-pulse" style={{ background: LEVEL_COLOR[d.level], boxShadow: `0 0 8px ${LEVEL_COLOR[d.level]}` }} />
-                    <span className="text-xs font-mono uppercase" style={{ color: LEVEL_COLOR[d.level] }}>{d.level}</span>
                   </div>
-                </div>
+                  <InfraQuickAccess
-              ))}
+                    workload={cc.workload}
-            </div>
+                    agents={cc.agents}
-          )}
+                    selectedNodeId={cc.selectedNodeId}
-          {tab === 'Agents' && (
+                    busy={cc.nodeBusy}
-            <div className="grid gap-3 sm:grid-cols-2">
+                    onSelectNode={cc.selectNode}
-              {agents.map((a) => (
+                    onSelectAgent={cc.selectAgent}
-                <div key={a.id} className="status-card rounded-xl p-4 border border-slate-200/80">
+                    onProbe={cc.probeNodeId}
-                  <div className="font-semibold text-lg" style={{ color: a.color }}>{a.name}</div>
+                    onOpenTerminal={cc.openTerminal}
-                  <div className="text-sm text-ink-muted mt-1">{a.role}</div>
+                  />
-                  <div className="text-xs font-mono text-ink-faint mt-2 px-2 py-1 rounded-md bg-slate-50 inline-block">zone: {a.zone}</div>
+                </>
-                </div>
+              )}
-              ))}
-            </div>
-          )}
-          {tab === 'Feed' && (
-            <div className="font-mono text-xs space-y-2 max-h-80 overflow-y-auto">
-              {feed.map((e) => (
-                <div key={e.id} className="flex gap-2 py-1.5 border-b border-slate-100 last:border-0">
-                  <span className="text-ink-faint shrink-0">{e.ts ? new Date(e.ts).toLocaleTimeString() : ''}</span>
-                  <span className="font-semibold shrink-0" style={{ color: agents.find((a) => a.id === e.agent_id)?.color || '#888' }}>{e.agent_id}</span>
-                  <span className={e.level === 'warn' ? 'text-neon-amber' : 'text-ink'}>{e.message}</span>
-                </div>
-              ))}
-            </div>
-          )}
-          {tab === 'Approvals' && (
-            <div className="space-y-3">
-              {approvals.length === 0 && <p className="text-ink-muted text-sm">Geen pending approvals.</p>}
-              {approvals.map((a) => (
-                <div key={a.id} className="status-card border border-neon-magenta/25 rounded-xl p-4">
-                  <div className="text-sm font-semibold text-neon-magenta">{a.action}</div>
-                  <div className="text-xs text-ink-muted mt-1">{a.reason}</div>
-                  <div className="flex gap-2 mt-3">
-                    <button onClick={() => decide(a.id, true)} className="px-3 py-1.5 rounded-lg bg-green-50 border border-neon-green/40 text-neon-green text-xs font-semibold hover:bg-green-100">Approve</button>
-                    <button onClick={() => decide(a.id, false)} className="px-3 py-1.5 rounded-lg bg-red-50 border border-red-300 text-red-600 text-xs font-semibold hover:bg-red-100">Deny</button>
-                  </div>
-                </div>
-              ))}
-            </div>
-          )}
-          {tab === 'Audit' && (
-            <p className="text-ink-muted text-sm">Audit log — approvals en agent acties (v1 via Feed tab).</p>
-          )}
-        </main>
 
-        <aside className="glass-strong rounded-2xl p-5 flex flex-col max-h-80 lg:max-h-none">
+              <div className={isPlatform ? 'min-h-[420px]' : 'min-h-0 flex-1'}>
-          <h3 className="text-sm font-mono font-semibold text-neon-cyan mb-3 tracking-wider">CHAT</h3>
+                {cc.mainView === 'platform' ? (
-          <div className="flex-1 overflow-y-auto space-y-3 text-sm font-mono mb-2">
+                  <PlatformTopology
-            {chat.length === 0 && <p className="text-ink-faint text-xs">Stel een vraag — je agent loopt data ophalen.</p>}
+                    workload={cc.workload}
-            {chat.map((m, i) => (
+                    animations={cc.anims}
-              <div key={i} className={`rounded-lg p-3 ${m.role === 'user' ? 'bg-cyan-50 border border-cyan-100' : 'bg-slate-50 border border-slate-100'}`}>
+                    selectedNodeId={cc.selectedNodeId}
-                <span className="text-ink-faint text-xs">{m.role === 'user' ? '▶ jij' : `◀ ${m.agent}`}</span>
+                    onNodeClick={cc.selectNode}
-                <div className={`mt-1 whitespace-pre-wrap ${m.role === 'user' ? 'text-neon-cyan' : 'text-ink'}`}>{m.text}</div>
+                  />
+                ) : cc.mainView === 'presentation' ? (
+                  <PresentationView />
+                ) : cc.mainView === 'dataquality' ? (
+                  <DataQualityView />
+                ) : cc.mainView === 'knowledge' ? (
+                  <KnowledgeChatView onGpuActivity={setGpuChatActive} />
+                ) : cc.mainView === 'storage' ? (
+                  <StorageView />
+                ) : (
+                  <ApprovalInbox agents={cc.agents} livePending={cc.approvals} onDecide={cc.decide} />
+                )}
               </div>
-            ))}
+            </div>
+
+            {isPlatform && (
+              <div className="flex w-[340px] shrink-0 flex-col border-l border-border">
+                <InspectorPanel
+                  node={cc.selectedNode}
+                  nodeDetail={cc.nodeDetail}
+                  agent={cc.selectedAgent}
+                  agents={cc.agents}
+                  workload={cc.workload}
+                  gpu={cc.gpu}
+                  feed={cc.feed}
+                  lines={cc.inspectorLines}
+                  busy={cc.nodeBusy}
+                  onProbe={cc.probeNode}
+                  onAsk={cc.askNode}
+                  onSelectAgent={cc.selectAgent}
+                  onSendPrompt={cc.sendPrompt}
+                  onClear={cc.clearSelection}
+                  onOpenTerminal={cc.openTerminal}
+                  onProbeNodeId={cc.probeNodeId}
+                />
+                <TerminalDock
+                  subjectId={terminalSubject}
+                  subjectLabel={terminalLabel}
+                  lines={cc.inspectorLines}
+                  busy={cc.nodeBusy || cc.promptBusy}
+                  expanded={cc.terminalExpanded}
+                  onToggle={() => cc.setTerminalExpanded(!cc.terminalExpanded)}
+                />
+              </div>
+            )}
           </div>
-        </aside>
+        </div>
       </div>
 
-      <PromptBar onSubmit={sendPrompt} busy={busy} />
+      <ChatDrawer
+        expanded={cc.chatExpanded}
+        onToggle={() => cc.setChatExpanded(!cc.chatExpanded)}
+        chat={cc.chat}
+        feed={cc.feed}
+        agents={cc.agents}
+        approvals={cc.approvals}
+        selectedAgent={cc.selectedAgent}
+        promptBusy={cc.promptBusy}
+        approvalHighlight={cc.approvalHighlight}
+        filterAgentId={cc.selectedAgentId}
+        onSendPrompt={cc.sendPrompt}
+        onDecide={cc.decide}
+        onDismissHighlight={() => cc.setApprovalHighlight(false)}
+      />
     </div>
   )
 }

ui/src/components/AgentSprite.tsx

@@ -1,48 +0,0 @@
-import { motion } from 'framer-motion'
-
-type Props = {
-  color: string
-  state: 'idle' | 'walk' | 'fetch' | 'return'
-  label: string
-}
-
-export function AgentSprite({ color, state, label }: Props) {
-  const bob = state === 'idle' ? { y: [0, -3, 0] } : state === 'walk' || state === 'return' ? { y: [0, -6, 0] } : { y: 0 }
-  const scale = state === 'fetch' ? 0.92 : 1
-
-  return (
-    <motion.div
-      className="flex flex-col items-center"
-      animate={{ ...bob, scale }}
-      transition={{ repeat: Infinity, duration: state === 'walk' || state === 'return' ? 0.35 : 2 }}
-    >
-      <svg width="56" height="72" viewBox="0 0 56 72" fill="none" xmlns="http://www.w3.org/2000/svg">
-        <ellipse cx="28" cy="68" rx="16" ry="4" fill={color} opacity="0.2" />
-        <rect x="18" y="36" width="20" height="26" rx="4" fill="#f8fafc" stroke={color} strokeWidth="1.5" />
-        <rect x="10" y="38" width="8" height="18" rx="3" fill="#f1f5f9" stroke={color} strokeWidth="1" />
-        <rect x="38" y="38" width="8" height="18" rx="3" fill="#f1f5f9" stroke={color} strokeWidth="1" />
-        <rect x="20" y="58" width="7" height="12" rx="2" fill="#e2e8f0" stroke={color} strokeWidth="1" />
-        <rect x="29" y="58" width="7" height="12" rx="2" fill="#e2e8f0" stroke={color} strokeWidth="1" />
-        <circle cx="28" cy="22" r="12" fill="#f8fafc" stroke={color} strokeWidth="1.5" />
-        <path d="M14 20 Q28 8 42 20 L40 24 Q28 14 16 24 Z" fill={color} opacity="0.9" />
-        <rect x="14" y="20" width="28" height="4" rx="1" fill={color} />
-        <path d="M16 24 Q16 34 20 36" stroke={color} strokeWidth="2" fill="none" />
-        <path d="M40 24 Q40 34 36 36" stroke={color} strokeWidth="2" fill="none" />
-        <rect x="12" y="22" width="6" height="10" rx="2" fill={color} opacity="0.7" />
-        <rect x="38" y="22" width="6" height="10" rx="2" fill={color} opacity="0.7" />
-        <path d="M36 36 L42 44" stroke={color} strokeWidth="1.5" />
-        <circle cx="43" cy="45" r="2" fill={color} />
-        <rect x="20" y="20" width="16" height="5" rx="2" fill={color} opacity="0.3" />
-        {state === 'fetch' && (
-          <motion.circle
-            cx="46" cy="30" r="4"
-            fill={color}
-            animate={{ opacity: [0.4, 1, 0.4] }}
-            transition={{ repeat: Infinity, duration: 0.6 }}
-          />
-        )}
-      </svg>
-      <span className="text-[10px] font-mono font-semibold mt-1 truncate max-w-[72px]" style={{ color }}>{label}</span>
-    </motion.div>
-  )
-}

ui/src/components/OpsFloor.tsx

@@ -1,79 +0,0 @@
-import { motion } from 'framer-motion'
-import { AgentSprite } from './AgentSprite'
-import type { Agent, AgentAnim, Zone } from '../types'
-
-const ZONE_X: Record<string, number> = {
-  docker: 8,
-  db: 28,
-  lakehouse: 50,
-  hadoop: 72,
-  etl: 92,
-}
-
-const DESK_X = 50
-
-type Props = {
-  agents: Agent[]
-  zones: Zone[]
-  animations: Record<string, AgentAnim>
-}
-
-export function OpsFloor({ agents, zones, animations }: Props) {
-  return (
-    <div className="glass-strong rounded-2xl p-5 relative overflow-hidden min-h-[300px]">
-      <div className="flex justify-between items-center mb-4">
-        <h2 className="font-display text-lg font-bold text-neon-cyan neon-text-cyan tracking-wide">OPS FLOOR</h2>
-        <span className="text-xs font-mono px-2.5 py-1 rounded-full bg-green-50 text-neon-green border border-neon-green/30 animate-pulse">● LIVE</span>
-      </div>
-
-      <div className="relative h-28 mb-4">
-        {zones.map((z) => (
-          <div
-            key={z.id}
-            className="absolute top-0 -translate-x-1/2 text-center"
-            style={{ left: `${z.x}%` }}
-          >
-            <div
-              className="rounded-xl px-3 py-3 min-w-[92px] text-[9px] font-mono tracking-wider font-semibold bg-white/90"
-              style={{ border: `2px solid ${z.color}`, boxShadow: `0 4px 16px ${z.color}22`, color: z.color }}
-            >
-              {z.label}
-            </div>
-          </div>
-        ))}
-        <svg className="absolute inset-0 w-full h-full pointer-events-none" preserveAspectRatio="none">
-          {zones.map((z) => (
-            <line
-              key={`path-${z.id}`}
-              x1={`${DESK_X}%`} y1="85%" x2={`${z.x}%`} y2="35%"
-              stroke={z.color} strokeWidth="2" strokeDasharray="6 4" opacity="0.45"
-            />
-          ))}
-        </svg>
-      </div>
-
-      <div className="relative h-28 rounded-xl bg-gradient-to-b from-slate-50 to-white border border-slate-100">
-        {agents.map((agent, i) => {
-          const anim = animations[agent.id] || { agentId: agent.id, state: 'idle' as const }
-          const targetX = anim.state === 'idle' ? 12 + i * 17 : ZONE_X[anim.zone || agent.zone] ?? DESK_X
-          const y = anim.state === 'fetch' ? 8 : anim.state === 'idle' ? 0 : 4
-
-          return (
-            <motion.div
-              key={agent.id}
-              className="absolute bottom-2 -translate-x-1/2"
-              animate={{ left: `${targetX}%`, y }}
-              transition={{ type: 'spring', stiffness: 80, damping: 14 }}
-            >
-              <AgentSprite
-                color={agent.color}
-                state={anim.state}
-                label={agent.name.split(' ')[0]}
-              />
-            </motion.div>
-          )
-        })}
-      </div>
-    </div>
-  )
-}

ui/src/components/PromptBar.tsx

@@ -1,41 +0,0 @@
-import { FormEvent, useState } from 'react'
-
-type Props = {
-  onSubmit: (message: string) => void
-  busy: boolean
-}
-
-export function PromptBar({ onSubmit, busy }: Props) {
-  const [text, setText] = useState('')
-
-  const handle = (e: FormEvent) => {
-    e.preventDefault()
-    if (!text.trim() || busy) return
-    onSubmit(text.trim())
-    setText('')
-  }
-
-  return (
-    <form onSubmit={handle} className="glass-strong rounded-2xl p-4 flex gap-3 items-center shadow-card">
-      <span className="text-2xl" aria-hidden>💬</span>
-      <input
-        className="flex-1 bg-white border border-slate-200 rounded-xl px-4 py-2.5 outline-none font-mono text-sm text-ink placeholder:text-ink-faint focus:border-neon-cyan focus:ring-2 focus:ring-neon-cyan/20 transition"
-        placeholder="Vraag je agents... bijv. Hoe staat Debezium er voor?"
-        value={text}
-        onChange={(e) => setText(e.target.value)}
-        disabled={busy}
-      />
-      <button
-        type="submit"
-        disabled={busy || !text.trim()}
-        className="px-5 py-2.5 rounded-xl font-display text-sm font-semibold text-white disabled:opacity-40 transition-all hover:brightness-110"
-        style={{
-          background: busy ? '#94a3b8' : 'linear-gradient(135deg, #0099cc, #8844cc)',
-          boxShadow: busy ? 'none' : '0 4px 16px rgba(0, 153, 204, 0.35)',
-        }}
-      >
-        {busy ? 'Bezig...' : 'Send'}
-      </button>
-    </form>
-  )
-}

ui/src/components/features/ActivityStream.tsx

@@ -0,0 +1,61 @@
+import type { Agent, FeedEntry } from '../../types'
+import { getAgentMeta } from '../../lib/agentMeta'
+import { cn } from '../../lib/utils'
+
+type Props = {
+  feed: FeedEntry[]
+  agents: Agent[]
+  filterAgentId?: string | null
+  opsOnly?: boolean
+}
+
+const LEVEL: Record<string, string> = {
+  info: 'text-foreground-muted',
+  ok: 'text-success',
+  warn: 'text-warning',
+  err: 'text-danger',
+}
+
+function isOpsEvent(message: string): boolean {
+  const lower = message.toLowerCase()
+  if (message.includes(' answered:')) return false
+  if (message.startsWith('Prompt received:')) return false
+  if (lower.includes('completed a response')) return false
+  return true
+}
+
+export function ActivityStream({ feed, agents, filterAgentId, opsOnly }: Props) {
+  let items = filterAgentId ? feed.filter((e) => e.agent_id === filterAgentId) : feed
+  if (opsOnly) items = items.filter((e) => isOpsEvent(e.message))
+
+  return (
+    <div className="scrollbar-thin flex-1 overflow-y-auto px-2 pb-2">
+      {items.length === 0 && (
+        <p className="py-8 text-center text-[11px] text-foreground-faint">
+          {opsOnly ? 'Geen operationele events — antwords staan in Chat.' : 'No activity yet — agents are on standby.'}
+        </p>
+      )}
+      {items.map((e) => {
+        const ag = agents.find((a) => a.id === e.agent_id)
+        const meta = ag ? getAgentMeta(ag.id) : null
+        const Icon = meta?.icon
+        return (
+          <div key={e.id} className="flex gap-2 border-b border-border/50 py-1.5 last:border-0">
+            {Icon && (
+              <span className="mt-0.5 flex h-5 w-5 shrink-0 items-center justify-center rounded bg-surface-overlay" style={{ color: meta?.accent }}>
+                <Icon className="h-3 w-3" />
+              </span>
+            )}
+            <div className="min-w-0 flex-1">
+              <div className="flex items-center gap-2">
+                <span className="text-[10px] font-medium text-foreground-muted">{ag?.name.split(' ·')[0] || e.agent_id}</span>
+                <span className="font-mono text-[9px] text-foreground-faint">{new Date(e.ts).toLocaleTimeString('en-US', { hour12: false })}</span>
+              </div>
+              <p className={cn('text-[10px] leading-relaxed', LEVEL[e.level] || 'text-foreground-muted')}>{e.message}</p>
+            </div>
+          </div>
+        )
+      })}
+    </div>
+  )
+}

ui/src/components/features/AgentFleet.tsx

@@ -0,0 +1,121 @@
+import { ShieldCheck } from 'lucide-react'
+import type { Agent, AgentAnim } from '../../types'
+import type { AgentLoad } from '../../hooks/useLiveMetrics'
+import { agentTaskLabel, getAgentMeta } from '../../lib/agentMeta'
+import { cn } from '../../lib/utils'
+
+type Props = {
+  agents: Agent[]
+  animations: Record<string, AgentAnim>
+  selectedId: string | null
+  loads: Record<string, AgentLoad>
+  approvalCount: number
+  onSelect: (id: string) => void
+  onOpenApprovals: () => void
+}
+
+function AgentCard({
+  agent,
+  anim,
+  load,
+  selected,
+  onSelect,
+}: {
+  agent: Agent
+  anim?: AgentAnim
+  load?: AgentLoad
+  selected: boolean
+  onSelect: () => void
+}) {
+  const meta = getAgentMeta(agent.id)
+  const Icon = meta.icon
+  const busy = anim && anim.state !== 'idle'
+
+  return (
+    <button
+      type="button"
+      onClick={onSelect}
+      className={cn(
+        'flex h-[118px] w-[140px] shrink-0 flex-col gap-1 rounded-lg border bg-surface-raised p-1.5 text-left shadow-sm dark:bg-surface-overlay',
+        selected ? 'border-docker/50 ring-1 ring-docker/20' : 'border-border hover:border-border-strong',
+      )}
+    >
+      <div className="flex items-center gap-1.5">
+        <span className="flex h-6 w-6 shrink-0 items-center justify-center rounded-md bg-surface" style={{ color: meta.accent }}>
+          <Icon className="h-3.5 w-3.5" />
+        </span>
+        <div className="min-w-0 flex-1">
+          <p className="truncate text-[11px] font-semibold text-foreground">{agent.name.split(' ·')[0]}</p>
+          <p className="truncate text-[8px] text-foreground-muted">{meta.domain}</p>
+        </div>
+        <span className={cn('h-1.5 w-1.5 shrink-0 rounded-full', busy ? 'bg-success animate-pulse' : 'bg-foreground-faint/30')} />
+      </div>
+      <p className="line-clamp-2 text-[8px] leading-[10px] text-foreground-muted">{agent.role}</p>
+      <p className="h-[20px] line-clamp-2 text-[8px] leading-[10px] text-foreground-faint">{agentTaskLabel(agent.id, anim)}</p>
+      <div className="mt-auto space-y-0.5">
+        <div className="flex justify-between font-mono text-[7px] tabular-nums text-foreground-faint">
+          <span>CPU {load?.cpu ?? 0}%</span>
+          <span>MEM {load?.mem ?? 0}%</span>
+        </div>
+        <div className="h-1 overflow-hidden rounded-full bg-surface">
+          <div className="h-full rounded-full transition-[width] duration-700" style={{ width: `${load?.cpu ?? 0}%`, background: meta.accent }} />
+        </div>
+      </div>
+    </button>
+  )
+}
+
+export function AgentFleet({ agents, animations, selectedId, loads, approvalCount, onSelect, onOpenApprovals }: Props) {
+  const supervisors = agents.filter((a) => a.supervisor)
+  const operators = agents.filter((a) => !a.supervisor && a.id !== 'mcp-coordinator')
+  const mcp = agents.find((a) => a.id === 'mcp-coordinator')
+
+  return (
+    <div className="panel flex shrink-0 flex-col p-2">
+      <div className="mb-1 flex shrink-0 items-center justify-between gap-2">
+        <div className="min-w-0">
+          <h3 className="text-[9px] font-semibold uppercase tracking-wider text-foreground-muted">Agent Fleet</h3>
+          <p className="truncate text-[8px] text-foreground-faint">Klik agent → stel vraag in chat · elk agent bewaakt één domein</p>
+        </div>
+        <div className="flex shrink-0 items-center gap-1.5">
+          <button
+            type="button"
+            onClick={onOpenApprovals}
+            className={cn(
+              'flex items-center gap-1 rounded-md border px-2 py-1 text-[9px] font-medium',
+              approvalCount > 0 ? 'border-warning/40 bg-warning/10 text-warning' : 'border-border text-foreground-muted hover:bg-surface-overlay',
+            )}
+          >
+            <ShieldCheck className="h-3 w-3" />
+            Approvals{approvalCount > 0 ? ` (${approvalCount})` : ''}
+          </button>
+          <span className="font-mono text-[8px] text-foreground-faint">{agents.length} agents</span>
+        </div>
+      </div>
+      <div className="scroll-x-stable flex min-h-0 gap-3 pb-1">
+        <div className="shrink-0">
+          <p className="mb-1 text-[8px] uppercase tracking-widest text-foreground-faint">Supervisors</p>
+          <div className="flex gap-1.5">
+            {supervisors.map((a) => (
+              <AgentCard key={a.id} agent={a} anim={animations[a.id]} load={loads[a.id]} selected={selectedId === a.id} onSelect={() => onSelect(a.id)} />
+            ))}
+          </div>
+        </div>
+        {mcp && (
+          <div className="shrink-0">
+            <p className="mb-1 text-[8px] uppercase tracking-widest text-foreground-faint">MCP Hub</p>
+            <AgentCard agent={mcp} anim={animations[mcp.id]} load={loads[mcp.id]} selected={selectedId === mcp.id} onSelect={() => onSelect(mcp.id)} />
+          </div>
+        )}
+        <div className="shrink-0">
+          <p className="mb-1 text-[8px] uppercase tracking-widest text-foreground-faint">Field Operators</p>
+          <div className="flex gap-1.5">
+            {operators.map((a) => (
+              <AgentCard key={a.id} agent={a} anim={animations[a.id]} load={loads[a.id]} selected={selectedId === a.id} onSelect={() => onSelect(a.id)} />
+            ))}
+          </div>
+        </div>
+      </div>
+    </div>
+  )
+}

ui/src/components/features/ApprovalCards.tsx

@@ -0,0 +1,98 @@
+import { useState } from 'react'
+import { Check, ShieldAlert, X } from 'lucide-react'
+import type { Agent, Approval } from '../../types'
+import { getAgentMeta } from '../../lib/agentMeta'
+import { Button } from '../ui/Button'
+import { cn } from '../../lib/utils'
+
+const ACTION_LABELS: Record<string, string> = {
+  'docker.restart': 'Container restart',
+  'docker.update': 'Image update',
+  'generic.mutate': 'Infrastructure change',
+}
+
+type Props = {
+  approvals: Approval[]
+  agents: Agent[]
+  highlighted: boolean
+  onDecide: (id: string, approved: boolean, decidedBy: string, note: string) => Promise<void>
+  onDismissHighlight?: () => void
+}
+
+export function ApprovalCards({ approvals, agents, highlighted, onDecide, onDismissHighlight }: Props) {
+  const [busyId, setBusyId] = useState<string | null>(null)
+  const [decider, setDecider] = useState<'mo-commander' | 'bart-commander'>('mo-commander')
+
+  if (!approvals.length) return null
+
+  const agentOf = (id: string) => agents.find((a) => a.id === id)
+
+  const handle = async (id: string, approved: boolean) => {
+    setBusyId(id)
+    try {
+      await onDecide(id, approved, decider, '')
+    } finally {
+      setBusyId(null)
+    }
+  }
+
+  return (
+    <div className={cn('mx-2 mb-2 rounded-lg border bg-surface-overlay p-2.5', highlighted ? 'border-warning/50 ring-1 ring-warning/20' : 'border-border')}>
+      <div className="mb-2 flex items-center justify-between gap-2">
+        <div className="flex items-center gap-1.5 text-[11px] font-semibold text-warning">
+          <ShieldAlert className="h-3.5 w-3.5" />
+          Pending approvals ({approvals.length})
+        </div>
+        <div className="flex items-center gap-2">
+          <label className="flex items-center gap-1 text-[9px] text-foreground-muted">
+            As
+            <select
+              value={decider}
+              onChange={(e) => setDecider(e.target.value as typeof decider)}
+              className="rounded border border-border bg-surface px-1 py-0.5 text-[10px] text-foreground-muted"
+            >
+              <option value="mo-commander">Mo</option>
+              <option value="bart-commander">Bart</option>
+            </select>
+          </label>
+          {highlighted && onDismissHighlight && (
+            <button type="button" onClick={onDismissHighlight} className="text-[9px] text-foreground-muted hover:text-foreground-muted">Dismiss</button>
+          )}
+        </div>
+      </div>
+      <div className="grid gap-2 sm:grid-cols-2 lg:grid-cols-3">
+        {approvals.map((a) => {
+          const ag = agentOf(a.agent_id)
+          const meta = ag ? getAgentMeta(ag.id) : null
+          const Icon = meta?.icon
+          return (
+            <div key={a.id} className="rounded-lg border border-border bg-surface p-2">
+              <div className="mb-1.5 flex items-start gap-1.5">
+                {Icon && (
+                  <span className="flex h-6 w-6 items-center justify-center rounded bg-surface-overlay text-docker">
+                    <Icon className="h-3.5 w-3.5" />
+                  </span>
+                )}
+                <div className="min-w-0 flex-1">
+                  <span className="text-[8px] uppercase tracking-wide text-warning">{ACTION_LABELS[a.action_type] || a.action_type}</span>
+                  <p className="truncate text-[11px] font-medium text-foreground">{ag?.name || a.agent_id}</p>
+                </div>
+                <span className="font-mono text-[8px] text-foreground-faint">#{a.id.slice(0, 6)}</span>
+              </div>
+              <p className="mb-1 text-[10px] text-foreground-muted line-clamp-2">{a.action}</p>
+              {a.target && <p className="text-[9px] text-foreground-muted">Target: {a.target}</p>}
+              <div className="mt-2 flex gap-1">
+                <Button size="sm" variant="success" className="flex-1 text-[10px]" disabled={busyId === a.id} onClick={() => handle(a.id, true)}>
+                  <Check className="h-3 w-3" /> Approve
+                </Button>
+                <Button size="sm" variant="danger" className="flex-1 text-[10px]" disabled={busyId === a.id} onClick={() => handle(a.id, false)}>
+                  <X className="h-3 w-3" /> Deny
+                </Button>
+              </div>
+            </div>
+          )
+        })}
+      </div>
+    </div>
+  )
+}

ui/src/components/features/ApprovalInbox.tsx

@@ -0,0 +1,122 @@
+import { useCallback, useEffect, useMemo, useState } from 'react'
+import { Check, ShieldCheck, X } from 'lucide-react'
+import { fetchApprovalHistory } from '../../lib/api'
+import type { Agent, Approval } from '../../types'
+import { getAgentMeta } from '../../lib/agentMeta'
+import { Badge } from '../ui/Badge'
+import { Button } from '../ui/Button'
+import { cn } from '../../lib/utils'
+
+type Filter = 'pending' | 'approved' | 'denied' | 'all'
+
+type Props = {
+  agents: Agent[]
+  livePending: Approval[]
+  onDecide: (id: string, approved: boolean, decidedBy: string, note: string) => Promise<void>
+}
+
+export function ApprovalInbox({ agents, livePending, onDecide }: Props) {
+  const [filter, setFilter] = useState<Filter>('pending')
+  const [items, setItems] = useState<Approval[]>([])
+  const [stats, setStats] = useState({ pending: 0, approved: 0, denied: 0, total: 0 })
+  const [selectedId, setSelectedId] = useState<string | null>(null)
+  const [decider, setDecider] = useState<'mo-commander' | 'bart-commander'>('mo-commander')
+  const [note, setNote] = useState('')
+  const [busy, setBusy] = useState(false)
+
+  const load = useCallback(async () => {
+    const res = await fetchApprovalHistory(filter === 'all' ? 'all' : filter)
+    setItems(res.approvals)
+    if (res.stats) setStats(res.stats)
+  }, [filter])
+
+  useEffect(() => { load() }, [load, livePending])
+
+  const selected = useMemo(() => items.find((a) => a.id === selectedId) || items[0] || null, [items, selectedId])
+  const agentOf = (id: string) => agents.find((a) => a.id === id)
+
+  const handleDecide = async (approved: boolean) => {
+    if (!selected || selected.status !== 'pending') return
+    setBusy(true)
+    try {
+      await onDecide(selected.id, approved, decider, note)
+      setNote('')
+      await load()
+    } finally {
+      setBusy(false)
+    }
+  }
+
+  return (
+    <section className="panel flex min-h-0 flex-1 flex-col overflow-hidden">
+      <header className="flex shrink-0 items-start justify-between gap-3 border-b border-border px-3 py-2">
+        <div className="flex items-center gap-2">
+          <ShieldCheck className="h-4 w-4 text-docker" />
+          <div>
+            <h2 className="text-sm font-semibold text-foreground">Approval Inbox</h2>
+            <p className="text-[10px] text-foreground-muted">Mo & Bart review mutating agent actions</p>
+          </div>
+        </div>
+        <div className="flex gap-1">
+          <Badge variant="warning">{stats.pending} pending</Badge>
+          <Badge variant="success">{stats.approved} ok</Badge>
+          <Badge variant="danger">{stats.denied} denied</Badge>
+        </div>
+      </header>
+
+      <div className="flex shrink-0 gap-1 border-b border-border px-2 py-1">
+        {(['pending', 'approved', 'denied', 'all'] as Filter[]).map((f) => (
+          <button key={f} type="button" onClick={() => setFilter(f)} className={cn('rounded px-2 py-0.5 text-[10px] capitalize', filter === f ? 'bg-docker-light text-docker' : 'text-foreground-muted')}>
+            {f}
+          </button>
+        ))}
+      </div>
+
+      <div className="grid min-h-0 flex-1 grid-cols-[minmax(200px,0.9fr)_1.1fr]">
+        <div className="scrollbar-thin overflow-y-auto border-r border-border p-1">
+          {!items.length && <p className="p-4 text-center text-[10px] text-foreground-faint">No {filter} requests.</p>}
+          {items.map((a) => {
+            const ag = agentOf(a.agent_id)
+            const meta = ag ? getAgentMeta(ag.id) : null
+            const Icon = meta?.icon
+            return (
+              <button key={a.id} type="button" onClick={() => setSelectedId(a.id)} className={cn('mb-1 flex w-full gap-2 rounded-lg border p-2 text-left', selected?.id === a.id ? 'border-docker/40 bg-docker-light' : 'border-transparent hover:bg-surface-overlay')}>
+                {Icon && <Icon className="h-4 w-4 shrink-0 text-docker" />}
+                <span className="min-w-0 flex-1">
+                  <span className="block truncate text-[11px] font-medium text-foreground">{a.action.slice(0, 80)}</span>
+                  <span className="block text-[9px] text-foreground-faint">{ag?.name || a.agent_id}</span>
+                </span>
+                <Badge variant={a.status === 'pending' ? 'warning' : a.status === 'approved' ? 'success' : 'danger'}>{a.status}</Badge>
+              </button>
+            )
+          })}
+        </div>
+
+        {selected && (
+          <div className="scrollbar-thin overflow-y-auto p-3">
+            <Badge variant={selected.status === 'pending' ? 'warning' : 'success'}>{selected.status}</Badge>
+            <dl className="mt-3 grid grid-cols-2 gap-2 text-[10px]">
+              <div><dt className="text-foreground-faint">Agent</dt><dd className="text-foreground">{agentOf(selected.agent_id)?.name}</dd></div>
+              <div><dt className="text-foreground-faint">Type</dt><dd className="text-foreground">{selected.action_type}</dd></div>
+              <div className="col-span-2"><dt className="text-foreground-faint">Action</dt><dd className="text-foreground-muted">{selected.action}</dd></div>
+              <div className="col-span-2"><dt className="text-foreground-faint">Reason</dt><dd className="text-foreground-muted">{selected.reason}</dd></div>
+            </dl>
+            {selected.status === 'pending' && (
+              <div className="mt-4 space-y-2">
+                <select value={decider} onChange={(e) => setDecider(e.target.value as typeof decider)} className="w-full rounded border border-border bg-surface px-2 py-1 text-[10px] text-foreground-muted">
+                  <option value="mo-commander">Decide as Mo</option>
+                  <option value="bart-commander">Decide as Bart</option>
+                </select>
+                <input value={note} onChange={(e) => setNote(e.target.value)} placeholder="Note (optional)" className="w-full rounded border border-border bg-surface px-2 py-1 text-[10px] text-foreground-muted" />
+                <div className="flex gap-2">
+                  <Button variant="success" className="flex-1" disabled={busy} onClick={() => handleDecide(true)}><Check className="h-3 w-3" /> Approve</Button>
+                  <Button variant="danger" className="flex-1" disabled={busy} onClick={() => handleDecide(false)}><X className="h-3 w-3" /> Deny</Button>
+                </div>
+              </div>
+            )}
+          </div>
+        )}
+      </div>
+    </section>
+  )
+}

ui/src/components/features/ArchitectureDiagram.tsx

@@ -0,0 +1,212 @@
+import { useEffect, useState } from 'react'
+import { cn } from '../../lib/utils'
+
+type FlowNode = { id: string; label: string; sub?: string; color: string }
+type FlowEdge = { from: string; to: string; label?: string }
+
+const FLOWS: Record<string, { nodes: FlowNode[]; edges: FlowEdge[] }> = {
+  'full-stack': {
+    nodes: [
+      { id: 'user', label: 'User / Customer', sub: 'Browser', color: '#60a5fa' },
+      { id: 'caddy', label: 'Caddy :80', sub: 'Reverse proxy', color: '#38bdf8' },
+      { id: 'ui', label: 'Command Center', sub: 'React UI', color: '#818cf8' },
+      { id: 'api', label: 'Agents API', sub: 'FastAPI :3201', color: '#a78bfa' },
+      { id: 'dq', label: 'DQ API', sub: 'Maturity + Docling', color: '#f59e0b' },
+      { id: 'rag', label: 'RAG API', sub: 'LangChain', color: '#34d399' },
+      { id: 'chroma', label: 'ChromaDB', sub: 'Vectors (persistent)', color: '#22d3ee' },
+      { id: 'docling', label: 'Docling', sub: ':5001', color: '#fb923c' },
+      { id: 'llm', label: 'vLLM Llama 70B', sub: 'GPU Lab', color: '#4ade80' },
+      { id: 'lake', label: 'Lakehouse', sub: 'Kafka · Spark · Trino', color: '#6366f1' },
+    ],
+    edges: [
+      { from: 'user', to: 'caddy', label: 'HTTP' },
+      { from: 'caddy', to: 'ui' },
+      { from: 'ui', to: 'api' },
+      { from: 'ui', to: 'dq' },
+      { from: 'ui', to: 'rag' },
+      { from: 'dq', to: 'docling' },
+      { from: 'rag', to: 'docling' },
+      { from: 'rag', to: 'chroma' },
+      { from: 'rag', to: 'llm' },
+      { from: 'api', to: 'llm' },
+      { from: 'api', to: 'lake' },
+    ],
+  },
+  'rag-flow': {
+    nodes: [
+      { id: 'upload', label: 'Upload PDF/CSV', sub: 'Once', color: '#60a5fa' },
+      { id: 'store', label: 'File Store', sub: '/data/uploads', color: '#64748b' },
+      { id: 'docling', label: 'Docling', sub: 'Parse + OCR', color: '#fb923c' },
+      { id: 'chunk', label: 'LangChain Splitter', sub: '800 char chunks', color: '#a78bfa' },
+      { id: 'embed', label: 'MiniLM Embeddings', sub: '384-d vectors', color: '#818cf8' },
+      { id: 'chroma', label: 'ChromaDB', sub: 'Persistent', color: '#22d3ee' },
+      { id: 'query', label: 'Your Question', sub: 'Any time', color: '#60a5fa' },
+      { id: 'retrieve', label: 'Similarity Search', sub: 'top-k chunks', color: '#34d399' },
+      { id: 'llm', label: 'Llama 70B', sub: 'Answer + sources', color: '#4ade80' },
+    ],
+    edges: [
+      { from: 'upload', to: 'store', label: 'save' },
+      { from: 'upload', to: 'docling' },
+      { from: 'docling', to: 'chunk' },
+      { from: 'chunk', to: 'embed' },
+      { from: 'embed', to: 'chroma', label: 'index' },
+      { from: 'query', to: 'retrieve' },
+      { from: 'retrieve', to: 'chroma' },
+      { from: 'retrieve', to: 'llm' },
+    ],
+  },
+  'dq-flow': {
+    nodes: [
+      { id: 'data', label: 'Customer Data', sub: 'CSV · Excel · PDF', color: '#60a5fa' },
+      { id: 'docling', label: 'Docling', sub: 'Structure + images', color: '#fb923c' },
+      { id: 'pandas', label: 'Pandas Profiling', sub: 'Column stats', color: '#a78bfa' },
+      { id: 'ge', label: 'Great Expectations', sub: 'Expectation checks', color: '#34d399' },
+      { id: 'soda', label: 'Soda Core', sub: 'YAML checks', color: '#22d3ee' },
+      { id: 'maturity', label: '6 Dimensions', sub: 'Score 0–100', color: '#f59e0b' },
+      { id: 'report', label: 'HTML Report', sub: 'Roadmap + actions', color: '#818cf8' },
+    ],
+    edges: [
+      { from: 'data', to: 'docling' },
+      { from: 'data', to: 'pandas' },
+      { from: 'pandas', to: 'ge' },
+      { from: 'pandas', to: 'soda' },
+      { from: 'ge', to: 'maturity' },
+      { from: 'soda', to: 'maturity' },
+      { from: 'maturity', to: 'report' },
+    ],
+  },
+  'lakehouse': {
+    nodes: [
+      { id: 'pg', label: 'PostgreSQL', color: '#60a5fa' },
+      { id: 'mysql', label: 'MySQL', color: '#60a5fa' },
+      { id: 'mongo', label: 'MongoDB', color: '#60a5fa' },
+      { id: 'debezium', label: 'Debezium CDC', color: '#f59e0b' },
+      { id: 'kafka', label: 'Kafka', color: '#fb923c' },
+      { id: 'spark', label: 'Spark', color: '#a78bfa' },
+      { id: 'iceberg', label: 'Iceberg', color: '#22d3ee' },
+      { id: 'trino', label: 'Trino', color: '#34d399' },
+      { id: 'bi', label: 'Superset BI', color: '#818cf8' },
+    ],
+    edges: [
+      { from: 'pg', to: 'debezium' },
+      { from: 'mysql', to: 'debezium' },
+      { from: 'mongo', to: 'debezium' },
+      { from: 'debezium', to: 'kafka' },
+      { from: 'kafka', to: 'spark' },
+      { from: 'spark', to: 'iceberg' },
+      { from: 'iceberg', to: 'trino' },
+      { from: 'trino', to: 'bi' },
+    ],
+  },
+}
+
+const POSITIONS: Record<string, Record<string, { x: number; y: number }>> = {
+  'full-stack': {
+    user: { x: 50, y: 8 },
+    caddy: { x: 50, y: 22 },
+    ui: { x: 50, y: 38 },
+    api: { x: 18, y: 58 },
+    dq: { x: 50, y: 58 },
+    rag: { x: 82, y: 58 },
+    docling: { x: 50, y: 78 },
+    chroma: { x: 82, y: 78 },
+    llm: { x: 82, y: 92 },
+    lake: { x: 18, y: 92 },
+  },
+  'rag-flow': {
+    upload: { x: 12, y: 20 },
+    store: { x: 12, y: 45 },
+    docling: { x: 35, y: 20 },
+    chunk: { x: 58, y: 20 },
+    embed: { x: 58, y: 45 },
+    chroma: { x: 58, y: 70 },
+    query: { x: 82, y: 20 },
+    retrieve: { x: 82, y: 45 },
+    llm: { x: 82, y: 70 },
+  },
+  'dq-flow': {
+    data: { x: 10, y: 50 },
+    docling: { x: 28, y: 25 },
+    pandas: { x: 28, y: 75 },
+    ge: { x: 52, y: 35 },
+    soda: { x: 52, y: 65 },
+    maturity: { x: 72, y: 50 },
+    report: { x: 90, y: 50 },
+  },
+  'lakehouse': {
+    pg: { x: 8, y: 15 },
+    mysql: { x: 8, y: 35 },
+    mongo: { x: 8, y: 55 },
+    debezium: { x: 28, y: 35 },
+    kafka: { x: 45, y: 35 },
+    spark: { x: 58, y: 35 },
+    iceberg: { x: 72, y: 35 },
+    trino: { x: 85, y: 35 },
+    bi: { x: 92, y: 55 },
+  },
+}
+
+export function ArchitectureDiagram({ animation }: { animation: string }) {
+  const flow = FLOWS[animation] || FLOWS['full-stack']
+  const positions = POSITIONS[animation] || POSITIONS['full-stack']
+  const [tick, setTick] = useState(0)
+
+  useEffect(() => {
+    const t = setInterval(() => setTick((n) => n + 1), 2200)
+    return () => clearInterval(t)
+  }, [])
+
+  const activeEdge = tick % flow.edges.length
+
+  return (
+    <div className="relative mx-auto mb-6 h-[280px] w-full max-w-4xl rounded-xl border border-docker/30 bg-surface-overlay/60 p-2 md:h-[320px]">
+      <svg className="absolute inset-0 h-full w-full" viewBox="0 0 100 100" preserveAspectRatio="none">
+        {flow.edges.map((edge, i) => {
+          const from = positions[edge.from]
+          const to = positions[edge.to]
+          if (!from || !to) return null
+          const active = i === activeEdge
+          return (
+            <g key={`${edge.from}-${edge.to}`}>
+              <line
+                x1={from.x}
+                y1={from.y}
+                x2={to.x}
+                y2={to.y}
+                stroke={active ? '#38bdf8' : 'rgba(56,189,248,0.25)'}
+                strokeWidth={active ? 0.6 : 0.35}
+                strokeDasharray={active ? '2 1' : '1 2'}
+                className={active ? 'animate-pulse' : undefined}
+              />
+              {active && (
+                <circle r="1.2" fill="#38bdf8">
+                  <animateMotion dur="1.8s" repeatCount="indefinite" path={`M${from.x},${from.y} L${to.x},${to.y}`} />
+                </circle>
+              )}
+            </g>
+          )
+        })}
+      </svg>
+      {flow.nodes.map((node) => {
+        const pos = positions[node.id]
+        if (!pos) return null
+        const lit = flow.edges.some((e, i) => i === activeEdge && (e.from === node.id || e.to === node.id))
+        return (
+          <div
+            key={node.id}
+            className={cn(
+              'absolute -translate-x-1/2 -translate-y-1/2 rounded-lg border px-2 py-1 text-center transition-all duration-500',
+              lit ? 'scale-105 border-docker shadow-docker bg-docker/20' : 'border-border bg-surface-raised/90',
+            )}
+            style={{ left: `${pos.x}%`, top: `${pos.y}%`, minWidth: '72px' }}
+          >
+            <p className="text-[9px] font-semibold leading-tight text-foreground md:text-[10px]" style={{ color: lit ? node.color : undefined }}>
+              {node.label}
+            </p>
+            {node.sub && <p className="text-[7px] text-foreground-faint md:text-[8px]">{node.sub}</p>}
+          </div>
+        )
+      })}
+    </div>
+  )
+}

ui/src/components/features/ChatDrawer.tsx

@@ -0,0 +1,119 @@
+import { useState } from 'react'
+import { ChevronDown, ChevronUp, MessageSquare, Radio } from 'lucide-react'
+import type { Agent, Approval, ChatMessage, FeedEntry } from '../../types'
+import { ActivityStream } from './ActivityStream'
+import { ApprovalCards } from './ApprovalCards'
+import { CommandBar } from './CommandBar'
+import { CommsPanel } from './CommsPanel'
+import { cn } from '../../lib/utils'
+
+type Props = {
+  expanded: boolean
+  onToggle: () => void
+  chat: ChatMessage[]
+  feed: FeedEntry[]
+  agents: Agent[]
+  approvals: Approval[]
+  selectedAgent: Agent | null
+  promptBusy: boolean
+  approvalHighlight: boolean
+  filterAgentId?: string | null
+  onSendPrompt: (message: string, agentId?: string) => void
+  onDecide: (id: string, approved: boolean, decidedBy: string, note: string) => Promise<void>
+  onDismissHighlight: () => void
+}
+
+export function ChatDrawer({
+  expanded,
+  onToggle,
+  chat,
+  feed,
+  agents,
+  approvals,
+  selectedAgent,
+  promptBusy,
+  approvalHighlight,
+  filterAgentId,
+  onSendPrompt,
+  onDecide,
+  onDismissHighlight,
+}: Props) {
+  const [tab, setTab] = useState<'chat' | 'activity'>('chat')
+  const unread = chat.length
+
+  if (!expanded) {
+    return (
+      <button
+        type="button"
+        onClick={onToggle}
+        className="flex w-full shrink-0 items-center justify-between border-t border-border bg-surface-raised/95 px-4 py-2 backdrop-blur-sm hover:bg-surface-overlay"
+      >
+        <span className="flex items-center gap-2 text-xs font-medium text-foreground">
+          <MessageSquare className="h-4 w-4 text-docker" />
+          Chat & Activity
+          {unread > 0 && (
+            <span className="rounded-full bg-docker/20 px-2 py-0.5 font-mono text-[10px] text-docker">
+              {unread} bericht{unread !== 1 ? 'en' : ''}
+            </span>
+          )}
+          {approvals.length > 0 && (
+            <span className="rounded-full bg-warning/20 px-2 py-0.5 font-mono text-[10px] text-warning">
+              {approvals.length} approval{approvals.length !== 1 ? 's' : ''}
+            </span>
+          )}
+        </span>
+        <ChevronUp className="h-4 w-4 text-foreground-muted" />
+      </button>
+    )
+  }
+
+  return (
+    <div className="flex shrink-0 flex-col border-t border-border bg-surface-raised/95 backdrop-blur-sm" style={{ height: 'min(42vh, 380px)' }}>
+      <div className="flex shrink-0 items-center justify-between border-b border-border px-3 py-1.5">
+        <div className="flex gap-1">
+          {(['chat', 'activity'] as const).map((t) => (
+            <button
+              key={t}
+              type="button"
+              onClick={() => setTab(t)}
+              className={cn(
+                'flex items-center gap-1.5 rounded-md px-2.5 py-1 text-[11px] font-medium capitalize transition-colors',
+                tab === t
+                  ? 'bg-docker-light text-docker dark:bg-blue-500/20 dark:text-blue-200'
+                  : 'text-foreground-muted hover:text-foreground',
+              )}
+            >
+              {t === 'chat' ? <MessageSquare className="h-3 w-3" /> : <Radio className="h-3 w-3" />}
+              {t === 'chat' ? 'Chat' : 'Activity'}
+              {t === 'activity' && approvals.length > 0 && (
+                <span className="rounded-full bg-warning/20 px-1 font-mono text-[8px] text-warning">{approvals.length}</span>
+              )}
+            </button>
+          ))}
+        </div>
+        <button type="button" onClick={onToggle} className="rounded p-1 text-foreground-muted hover:bg-surface-overlay hover:text-foreground" title="Inklappen">
+          <ChevronDown className="h-4 w-4" />
+        </button>
+      </div>
+
+      <div className="panel mx-2 mb-1 min-h-0 flex-1 overflow-hidden">
+        {tab === 'chat' ? (
+          <CommsPanel messages={chat} agents={agents} selectedAgent={selectedAgent} busy={promptBusy} />
+        ) : (
+          <div className="flex h-full min-h-0 flex-col overflow-hidden">
+            <ApprovalCards
+              approvals={approvals}
+              agents={agents}
+              highlighted={approvalHighlight}
+              onDecide={onDecide}
+              onDismissHighlight={onDismissHighlight}
+            />
+            <ActivityStream feed={feed} agents={agents} filterAgentId={filterAgentId} opsOnly />
+          </div>
+        )}
+      </div>
+
+      {tab === 'chat' && <CommandBar busy={promptBusy} selectedAgent={selectedAgent} onSubmit={onSendPrompt} />}
+    </div>
+  )
+}

ui/src/components/features/CommandBar.tsx

@@ -0,0 +1,58 @@
+import { useState, type FormEvent } from 'react'
+import { Send } from 'lucide-react'
+import type { Agent } from '../../types'
+import { Button } from '../ui/Button'
+import { Input } from '../ui/Input'
+
+type Props = {
+  busy: boolean
+  selectedAgent: Agent | null
+  onSubmit: (message: string, agentId?: string) => void
+}
+
+export function CommandBar({ busy, selectedAgent, onSubmit }: Props) {
+  const [input, setInput] = useState('')
+
+  const submit = (e: FormEvent) => {
+    e.preventDefault()
+    if (!input.trim() || busy) return
+    onSubmit(input.trim(), selectedAgent?.id)
+    setInput('')
+  }
+
+  const suggestions = selectedAgent?.suggested_prompts?.slice(0, 3) || [
+    'Hoeveel data zit er in de databases?',
+    'Wat staat er in PostgreSQL?',
+    'MongoDB supplychain overzicht',
+  ]
+
+  return (
+    <footer className="shrink-0 border-t border-border bg-surface-raised/90 px-3 py-1.5 backdrop-blur-sm">
+      <form onSubmit={submit} className="flex gap-2">
+        <Input
+          value={input}
+          onChange={(e) => setInput(e.target.value)}
+          placeholder={selectedAgent ? `Command ${selectedAgent.name.split(' ·')[0]}…` : 'Enter command — auto-routed to specialist…'}
+          disabled={busy}
+          className="flex-1"
+        />
+        <Button type="submit" disabled={busy || !input.trim()}>
+          <Send className="h-3.5 w-3.5" />
+          Send
+        </Button>
+      </form>
+      <div className="mt-1.5 flex flex-wrap gap-1">
+        {suggestions.map((s) => (
+          <button
+            key={s}
+            type="button"
+            onClick={() => setInput(s)}
+            className="rounded border border-border bg-surface px-2 py-0.5 text-[9px] text-foreground-muted hover:border-border-strong hover:text-foreground-muted"
+          >
+            {s}
+          </button>
+        ))}
+      </div>
+    </footer>
+  )
+}

ui/src/components/features/CommsPanel.tsx

@@ -0,0 +1,68 @@
+import { useEffect, useRef } from 'react'
+import { MessageSquare } from 'lucide-react'
+import type { Agent, ChatMessage } from '../../types'
+import { getAgentMeta } from '../../lib/agentMeta'
+import { cn } from '../../lib/utils'
+
+type Props = {
+  messages: ChatMessage[]
+  agents: Agent[]
+  selectedAgent: Agent | null
+  busy: boolean
+}
+
+export function CommsPanel({ messages, agents, selectedAgent, busy }: Props) {
+  const bottomRef = useRef<HTMLDivElement>(null)
+  const meta = selectedAgent ? getAgentMeta(selectedAgent.id) : null
+
+  useEffect(() => {
+    bottomRef.current?.scrollIntoView({ behavior: 'smooth' })
+  }, [messages, busy])
+
+  return (
+    <div className="flex h-full min-h-0 flex-col">
+      <div className="flex shrink-0 items-center justify-between border-b border-border px-3 py-2">
+        <h3 className="flex items-center gap-1.5 text-xs font-semibold text-foreground">
+          <MessageSquare className="h-3.5 w-3.5 text-docker" /> Comms
+        </h3>
+        {selectedAgent && meta && (
+          <span className="truncate font-mono text-[9px]" style={{ color: meta.accent }}>
+            {selectedAgent.name.split(' ·')[0]}
+          </span>
+        )}
+      </div>
+      <div className="scrollbar-thin flex-1 space-y-2 overflow-y-auto p-2">
+        {!messages.length && (
+          <div className="flex h-full flex-col items-center justify-center py-6 text-center">
+            <MessageSquare className="mb-2 h-6 w-6 text-foreground-faint" />
+            <p className="max-w-[200px] text-[10px] text-foreground-muted">
+              Send a command below — routing selects the right specialist automatically.
+            </p>
+          </div>
+        )}
+        {messages.map((m, i) => {
+          const ag = m.role === 'agent' ? agents.find((a) => a.id === m.agent) : null
+          const agMeta = ag ? getAgentMeta(ag.id) : null
+          return (
+            <div key={i} className={cn('flex gap-2', m.role === 'user' && 'flex-row-reverse')}>
+              <div className={cn('max-w-[85%] rounded-lg border px-2 py-1.5', m.role === 'user' ? 'border-docker/25 bg-docker-light' : 'border-border bg-surface-overlay')}>
+                <p className="mb-0.5 text-[8px] text-foreground-muted">
+                  {m.role === 'user' ? 'You' : ag?.name || m.agent}
+                  {m.ts && ` · ${new Date(m.ts).toLocaleTimeString('en-US', { hour12: false })}`}
+                </p>
+                <p className="whitespace-pre-wrap text-[11px] text-foreground">{m.text}</p>
+              </div>
+            </div>
+          )
+        })}
+        {busy && (
+          <div className="flex items-center gap-2 px-2 py-2 text-[10px] text-foreground-muted">
+            <span className="h-1.5 w-1.5 animate-bounce rounded-full bg-accent" />
+            <span>Agent verzamelt cluster-data en vraagt Llama 70B… verwacht ~30–90 sec</span>
+          </div>
+        )}
+        <div ref={bottomRef} />
+      </div>
+    </div>
+  )
+}

ui/src/components/features/DataQualityView.tsx

@@ -0,0 +1,732 @@
+import { useCallback, useEffect, useState, Fragment } from 'react'
+import {
+  AlertTriangle,
+  CheckCircle2,
+  FileSearch,
+  FileText,
+  Image,
+  Layers,
+  Loader2,
+  RefreshCw,
+  Table2,
+  Upload,
+  XCircle,
+} from 'lucide-react'
+import { cn } from '../../lib/utils'
+import { subTabActive, subTabIdle } from '../../lib/tabActive'
+
+type Dimension = {
+  id: string
+  label: string
+  description: string
+  score: number
+  level: string
+  findings: string[]
+  recommended_actions?: string[]
+}
+
+type ColumnProfile = {
+  name: string
+  dtype: string
+  null_pct: number
+  unique_count: number
+  quality_flags: string[]
+  sample_values?: string[]
+  numeric?: { min: number; max: number; mean: number; outliers: number }
+  text?: { avg_length: number; empty_strings: number }
+  top_values?: { value: string; count: number }[]
+}
+
+type GxCheck = { suite: string; expectation: string; success: boolean; result: string; column?: string }
+type SodaCheck = { suite: string; name: string; check: string; outcome: string; detail: string }
+
+type DocStructure = {
+  pages: number
+  pictures: number
+  tables: number
+  text_blocks: number
+  headings: number
+  paragraphs: number
+  list_items?: number
+  form_items: number
+  key_value_pairs: number
+  label_counts?: Record<string, number>
+  table_details?: { index: number; rows: number; cols: number; cells: number; preview?: string }[]
+  picture_details?: { index: number; label: string; has_image: boolean; captions: number }[]
+  outline?: { type: string; text: string; level?: number }[]
+}
+
+type AssessResult = {
+  ok: boolean
+  report_id: string
+  overall_score: number
+  maturity_level: string
+  maturity_description?: string
+  rows: number
+  columns: number
+  dimensions: Dimension[]
+  column_profiles: ColumnProfile[]
+  action_items: { priority: string; dimension: string; score: number; action: string }[]
+  checks?: { great_expectations: GxCheck[]; soda_core: SodaCheck[] }
+  checks_summary: {
+    great_expectations: { total: number; passed: number }
+    soda_core: { total: number; warnings: number }
+  }
+  docling?: { used: boolean; parse_id?: string; document_structure?: DocStructure; stats?: Record<string, number>; images?: DocImage[] }
+  rag_ingest?: { ok: boolean; duplicate?: boolean; chunks?: number; message?: string; error?: string }
+  report_url: string
+}
+
+type DocImage = {
+  index: number
+  label: string
+  available: boolean
+  url?: string
+  width?: number
+  height?: number
+  mimetype?: string
+  dpi?: number
+  bytes?: number
+  captions?: string[]
+}
+
+type ParseResult = {
+  ok: boolean
+  parse_id: string
+  filename: string
+  status: string
+  processing_time_sec?: number
+  formats_available: string[]
+  document_structure: DocStructure
+  images?: DocImage[]
+  stats: Record<string, number>
+  content: { preview_markdown?: string; preview_html?: string; markdown?: string; html?: string }
+  table_preview?: string[]
+  errors?: string[]
+  parse_json_url?: string
+}
+
+type Capabilities = {
+  maturity_dimensions: { id: string; label: string; description: string }[]
+  maturity_levels: { min_score: number; label: string; description: string }[]
+  supported_data_formats: string[]
+  supported_document_formats: string[]
+  tools: Record<string, { status: string; capabilities?: string[] }>
+  docling_online: boolean
+}
+
+type ReportSummary = {
+  id: string
+  filename: string
+  ts: string
+  overall_score: number
+  maturity_level: string
+  rows: number
+  columns: number
+}
+
+type Tab = 'assess' | 'docling' | 'reports'
+
+const SCORE_COLOR = (s: number) => (s >= 80 ? 'text-success' : s >= 60 ? 'text-warning' : 'text-danger')
+const BAR_COLOR = (s: number) => (s >= 80 ? 'bg-success' : s >= 60 ? 'bg-warning' : 'bg-danger')
+
+export function DataQualityView() {
+  const [tab, setTab] = useState<Tab>('assess')
+  const [caps, setCaps] = useState<Capabilities | null>(null)
+  const [loading, setLoading] = useState(false)
+  const [assess, setAssess] = useState<AssessResult | null>(null)
+  const [parse, setParse] = useState<ParseResult | null>(null)
+  const [parseFormat, setParseFormat] = useState<'markdown' | 'html'>('markdown')
+  const [reports, setReports] = useState<ReportSummary[]>([])
+  const [error, setError] = useState<string | null>(null)
+  const [expandedCol, setExpandedCol] = useState<string | null>(null)
+  const [showGx, setShowGx] = useState(false)
+  const [showSoda, setShowSoda] = useState(false)
+
+  const loadMeta = useCallback(async () => {
+    try {
+      const [c, r] = await Promise.all([fetch('/dq/capabilities'), fetch('/dq/reports')])
+      if (c.ok) setCaps(await c.json())
+      if (r.ok) {
+        const j = await r.json()
+        setReports(j.reports || [])
+      }
+    } catch {
+      /* ignore */
+    }
+  }, [])
+
+  useEffect(() => {
+    loadMeta()
+  }, [loadMeta])
+
+  const onAssess = async (file: File) => {
+    setLoading(true)
+    setError(null)
+    setAssess(null)
+    const fd = new FormData()
+    fd.append('file', file)
+    try {
+      const r = await fetch('/dq/assess', { method: 'POST', body: fd })
+      const j = await r.json()
+      if (!r.ok || !j.ok) {
+        setError(j.error || j.detail || 'Assessment failed')
+        return
+      }
+      setAssess(j as AssessResult)
+      loadMeta()
+    } catch {
+      setError('Connection failed — check DQ API')
+    } finally {
+      setLoading(false)
+    }
+  }
+
+  const onParse = async (file: File) => {
+    setLoading(true)
+    setError(null)
+    setParse(null)
+    const fd = new FormData()
+    fd.append('file', file)
+    fd.append('to_formats', 'md,html,json')
+    const ctrl = new AbortController()
+    const timer = setTimeout(() => ctrl.abort(), 300000)
+    try {
+      const r = await fetch('/dq/parse', { method: 'POST', body: fd, signal: ctrl.signal })
+      const j = await r.json()
+      if (!r.ok || !j.ok) {
+        setError(typeof j.error === 'string' ? j.error : JSON.stringify(j.error || j).slice(0, 200) || 'Docling parse failed')
+        return
+      }
+      setParse(j as ParseResult)
+      loadMeta()
+    } catch (e) {
+      setError(e instanceof Error && e.name === 'AbortError' ? 'Timeout — document too large or Docling overloaded' : 'Docling unavailable')
+    } finally {
+      clearTimeout(timer)
+      setLoading(false)
+    }
+  }
+
+  const tabs: { id: Tab; label: string; icon: typeof FileSearch }[] = [
+    { id: 'assess', label: 'Maturity Assessment', icon: FileSearch },
+    { id: 'docling', label: 'Docling Parser', icon: FileText },
+    { id: 'reports', label: 'Reports', icon: CheckCircle2 },
+  ]
+
+  return (
+    <div className="flex h-full min-h-[calc(100vh-140px)] flex-col rounded-lg border border-border bg-surface-raised">
+      <header className="shrink-0 border-b border-border bg-surface-overlay/30 px-4 py-3">
+        <div className="flex flex-wrap items-start justify-between gap-3">
+          <div>
+            <h2 className="text-base font-semibold text-foreground">Data Quality & Maturity Platform</h2>
+            <p className="text-[11px] text-foreground-muted">
+              Full data maturity assessment for customer data — Docling, Great Expectations, Soda Core
+            </p>
+          </div>
+          <div className="flex items-center gap-2">
+            <span className={cn('rounded-full px-2.5 py-1 text-[10px] font-medium', caps?.docling_online ? 'bg-success/20 text-success' : 'bg-danger/20 text-danger')}>
+              Docling {caps?.docling_online ? '● online' : '○ offline'}
+            </span>
+            <button type="button" onClick={loadMeta} className="rounded border border-border p-1.5 hover:bg-surface-overlay">
+              <RefreshCw className="h-4 w-4" />
+            </button>
+            <a href={`http://${window.location.hostname}:5001/ui/`} target="_blank" rel="noreferrer" className="rounded border border-docker/40 bg-docker/15 px-2 py-1 text-[10px] text-docker">
+              Docling UI ↗
+            </a>
+          </div>
+        </div>
+
+        {caps && (
+          <div className="mt-3 grid gap-2 sm:grid-cols-2 lg:grid-cols-4">
+            <CapCard title="Maturity Engine" items={caps.maturity_dimensions.map((d) => d.label)} icon={Layers} />
+            <CapCard title="Data Quality Tools" items={['Great Expectations', 'Soda Core', 'Pandas Profiling']} icon={CheckCircle2} />
+            <CapCard title="Document Parsing" items={caps.tools.docling?.capabilities || ['PDF', 'PPTX', 'DOCX']} icon={FileText} />
+            <CapCard title="File formats" items={[...caps.supported_data_formats.slice(0, 4), ...caps.supported_document_formats.slice(0, 3)]} icon={Upload} />
+          </div>
+        )}
+      </header>
+
+      <div className="flex shrink-0 gap-1 border-b border-border bg-surface-overlay/20 px-3 py-2">
+        {tabs.map(({ id, label, icon: Icon }) => (
+          <button
+            key={id}
+            type="button"
+            onClick={() => setTab(id)}
+            className={cn('flex items-center gap-1.5 rounded-md px-3 py-2 text-[11px] font-medium transition-all', tab === id ? subTabActive : subTabIdle)}
+          >
+            <Icon className="h-4 w-4" />
+            {label}
+          </button>
+        ))}
+      </div>
+
+      <div className="scrollbar-thin flex-1 overflow-y-auto p-4">
+        {error && (
+          <div className="mb-4 flex items-start gap-2 rounded-lg border border-danger/40 bg-danger/10 px-4 py-3 text-[11px] text-danger">
+            <XCircle className="mt-0.5 h-4 w-4 shrink-0" />
+            <span>{error}</span>
+          </div>
+        )}
+
+        {tab === 'assess' && (
+          <div className="space-y-5">
+            <UploadZone
+              loading={loading}
+              label="Upload customer data for full maturity assessment"
+              hint="CSV · Excel · JSON · Parquet · PDF · PPTX · DOCX"
+              accept=".csv,.tsv,.xlsx,.xls,.json,.parquet,.pdf,.pptx,.ppt,.docx"
+              onFile={onAssess}
+            />
+
+            {loading && <LoadingMsg text="Analyzing: 6 maturity dimensions · GE checks · Soda checks · column profiles…" />}
+
+            {assess && (
+              <div className="space-y-5">
+                <div className="grid gap-3 sm:grid-cols-2 lg:grid-cols-5">
+                  <StatCard label="Overall Score" value={`${assess.overall_score}`} sub="/100" accent />
+                  <StatCard label="Maturity Level" value={assess.maturity_level} sub={assess.maturity_description} />
+                  <StatCard label="Dataset" value={`${assess.rows.toLocaleString()}`} sub={`${assess.columns} columns`} />
+                  <StatCard label="Great Expectations" value={`${assess.checks_summary.great_expectations.passed}/${assess.checks_summary.great_expectations.total}`} sub="checks passed" />
+                  <StatCard label="Soda Core" value={String(assess.checks_summary.soda_core.warnings)} sub="warnings" warn={assess.checks_summary.soda_core.warnings > 0} />
+                </div>
+
+                {assess.docling?.used && assess.docling.document_structure && (
+                  <>
+                    <DocStructurePanel structure={assess.docling.document_structure} title="Document structure (via Docling)" />
+                    {assess.docling.images && assess.docling.images.length > 0 && assess.docling.parse_id && (
+                      <ImageGallery images={assess.docling.images} parseId={assess.docling.parse_id} />
+                    )}
+                  </>
+                )}
+
+                {assess.rag_ingest && (
+                  <div className={cn(
+                    'rounded-lg border px-3 py-2 text-[11px]',
+                    assess.rag_ingest.ok ? 'border-success/30 bg-success/10 text-success' : 'border-warning/30 bg-warning/10 text-warning',
+                  )}>
+                    <p className="font-medium">Knowledge Chat sync</p>
+                    <p className="text-foreground-muted">
+                      {assess.rag_ingest.ok
+                        ? (assess.rag_ingest.duplicate
+                          ? `Already in Knowledge Chat — ${assess.rag_ingest.message || 'you can chat immediately.'}`
+                          : `Indexed for chat: ${assess.rag_ingest.chunks ?? '?'} text chunks. Open Knowledge Chat to ask questions.`)
+                        : (assess.rag_ingest.error || 'Could not sync to Knowledge Chat')}
+                    </p>
+                  </div>
+                )}
+
+                <div className="flex flex-wrap gap-2">
+                  <a href={assess.report_url} target="_blank" rel="noreferrer" className={cn('rounded-md px-3 py-1.5 text-[11px] font-medium', subTabActive)}>
+                    Full HTML report ↗
+                  </a>
+                  <button type="button" onClick={() => setShowGx(!showGx)} className={cn('rounded-md px-3 py-1.5 text-[11px]', showGx ? subTabActive : subTabIdle)}>
+                    GE checks ({assess.checks?.great_expectations.length || 0})
+                  </button>
+                  <button type="button" onClick={() => setShowSoda(!showSoda)} className={cn('rounded-md px-3 py-1.5 text-[11px]', showSoda ? subTabActive : subTabIdle)}>
+                    Soda checks ({assess.checks?.soda_core.length || 0})
+                  </button>
+                </div>
+
+                {showGx && assess.checks?.great_expectations && (
+                  <CheckTable title="Great Expectations" rows={assess.checks.great_expectations.map((c) => ({
+                    name: c.column ? `${c.expectation} [${c.column}]` : c.expectation,
+                    status: c.success ? 'pass' : 'fail',
+                    detail: c.result,
+                  }))} />
+                )}
+                {showSoda && assess.checks?.soda_core && (
+                  <CheckTable title="Soda Core" rows={assess.checks.soda_core.map((c) => ({
+                    name: c.name,
+                    status: c.outcome,
+                    detail: `${c.check} — ${c.detail}`,
+                  }))} />
+                )}
+
+                <section>
+                  <h3 className="mb-3 text-[11px] font-semibold uppercase tracking-wider text-foreground-faint">6 Maturity Dimensions</h3>
+                  <div className="grid gap-3 lg:grid-cols-2 xl:grid-cols-3">
+                    {assess.dimensions.map((d) => (
+                      <DimensionCard key={d.id} dimension={d} />
+                    ))}
+                  </div>
+                </section>
+
+                {assess.action_items.length > 0 && (
+                  <section>
+                    <h3 className="mb-2 flex items-center gap-1.5 text-[11px] font-semibold uppercase tracking-wider text-foreground-faint">
+                      <AlertTriangle className="h-3.5 w-3.5 text-warning" /> Remediation Roadmap
+                    </h3>
+                    <div className="space-y-1.5">
+                      {assess.action_items.map((a, i) => (
+                        <div key={i} className={cn('rounded-lg border px-3 py-2 text-[11px]', a.priority === 'high' ? 'border-danger/40 bg-danger/10' : a.priority === 'medium' ? 'border-warning/40 bg-warning/10' : 'border-border bg-surface-overlay/40')}>
+                          <span className="font-bold uppercase text-foreground-faint">{a.priority}</span>
+                          {' · '}<strong>{a.dimension}</strong> ({a.score}): {a.action}
+                        </div>
+                      ))}
+                    </div>
+                  </section>
+                )}
+
+                <section>
+                  <h3 className="mb-2 text-[11px] font-semibold uppercase tracking-wider text-foreground-faint">
+                    Column profiles ({assess.column_profiles.length})
+                  </h3>
+                  <ColumnTable profiles={assess.column_profiles} expandedCol={expandedCol} onToggle={setExpandedCol} />
+                </section>
+              </div>
+            )}
+          </div>
+        )}
+
+        {tab === 'docling' && (
+          <div className="space-y-5">
+            <p className="text-[12px] leading-relaxed text-foreground-muted">
+              Docling extracts text, tables, images and document structure from PDF, PowerPoint, Word, Excel and images.
+              Resultaat: Markdown, HTML, JSON met pagina&apos;s, plaatjes, tabellen en outline.
+            </p>
+            <UploadZone
+              loading={loading}
+              label="Upload document for Docling parsing"
+              hint="PDF · PPTX · DOCX · XLSX · PNG · JPG · TIFF · MD · HTML"
+              accept=".pdf,.pptx,.ppt,.docx,.doc,.xlsx,.png,.jpg,.jpeg,.tiff,.txt,.md,.html"
+              onFile={onParse}
+            />
+
+            {loading && <LoadingMsg text="Docling processing document — OCR, table detection, images (30–180 sec)…" />}
+
+            {parse && (
+              <div className="space-y-4">
+                <div className="grid gap-3 sm:grid-cols-2 lg:grid-cols-4 xl:grid-cols-6">
+                  <StatCard label="Bestand" value={parse.filename.length > 20 ? parse.filename.slice(0, 18) + '…' : parse.filename} sub={parse.status} />
+                  <StatCard label="Verwerking" value={`${(parse.processing_time_sec || 0).toFixed(1)}s`} sub={`Formats: ${parse.formats_available.join(', ')}`} />
+                  <StatCard label="Pages" value={String(parse.document_structure?.pages ?? parse.stats.pages ?? 0)} icon={Layers} />
+                  <StatCard label="Images" value={String(parse.document_structure?.pictures ?? 0)} icon={Image} accent />
+                  <StatCard label="Tables" value={String(parse.document_structure?.tables ?? 0)} icon={Table2} />
+                  <StatCard label="Text blocks" value={String(parse.document_structure?.text_blocks ?? 0)} sub={`${parse.stats.words?.toLocaleString() ?? 0} words`} />
+                </div>
+
+                <DocStructurePanel structure={parse.document_structure} title="Document analysis" />
+
+                {parse.images && parse.images.filter((i) => i.available).length > 0 && (
+                  <ImageGallery images={parse.images} parseId={parse.parse_id} />
+                )}
+
+                {parse.document_structure?.outline && parse.document_structure.outline.length > 0 && (
+                  <section className="rounded-lg border border-border bg-surface-overlay/30 p-3">
+                    <h3 className="mb-2 text-[11px] font-semibold uppercase text-foreground-faint">Document outline</h3>
+                    <ul className="space-y-1 text-[11px]">
+                      {parse.document_structure.outline.map((o, i) => (
+                        <li key={i} className="flex gap-2" style={{ paddingLeft: (o.level || 0) * 12 }}>
+                          <span className="shrink-0 rounded bg-docker/20 px-1 font-mono text-[9px] text-docker">{o.type}</span>
+                          <span className="text-foreground-muted">{o.text}</span>
+                        </li>
+                      ))}
+                    </ul>
+                  </section>
+                )}
+
+                <div className="flex gap-1">
+                  {(['markdown', 'html'] as const).map((f) => (
+                    <button key={f} type="button" onClick={() => setParseFormat(f)} className={cn('rounded-md px-3 py-1.5 text-[11px] font-medium', parseFormat === f ? subTabActive : subTabIdle)}>
+                      {f.toUpperCase()}
+                    </button>
+                  ))}
+                  {parse.parse_json_url && (
+                    <a href={parse.parse_json_url} target="_blank" rel="noreferrer" className={cn('rounded-md px-3 py-1.5 text-[11px]', subTabIdle)}>
+                      Full JSON ↗
+                    </a>
+                  )}
+                </div>
+
+                {parse.table_preview && parse.table_preview.length > 0 && (
+                  <section>
+                    <h3 className="mb-1 text-[11px] font-semibold uppercase text-foreground-faint">Tables (markdown preview)</h3>
+                    <pre className="scrollbar-thin max-h-40 overflow-auto rounded-lg border border-border bg-surface-overlay p-3 font-mono text-[10px]">
+                      {parse.table_preview.join('\n')}
+                    </pre>
+                  </section>
+                )}
+
+                <section>
+                  <h3 className="mb-2 text-[11px] font-semibold uppercase text-foreground-faint">Extracted content</h3>
+                  {parseFormat === 'html' && (parse.content.preview_html || parse.content.html) ? (
+                    <div className="scrollbar-thin max-h-[500px] overflow-auto rounded-lg border border-border bg-surface-overlay p-2">
+                      <div className="rounded bg-white p-4 text-black" dangerouslySetInnerHTML={{ __html: parse.content.preview_html || parse.content.html || '' }} />
+                    </div>
+                  ) : (
+                    <pre className="scrollbar-thin max-h-[500px] overflow-auto rounded-lg border border-border bg-surface-overlay p-4 font-mono text-[11px] leading-relaxed text-foreground">
+                      {parse.content.preview_markdown || parse.content.markdown || '(no content)'}
+                    </pre>
+                  )}
+                </section>
+              </div>
+            )}
+          </div>
+        )}
+
+        {tab === 'reports' && (
+          <div className="space-y-2">
+            {reports.length === 0 ? (
+              <p className="py-12 text-center text-sm text-foreground-muted">No reports yet — upload customer data in Maturity Assessment.</p>
+            ) : (
+              reports.map((r) => (
+                <a key={r.id} href={`/dq/report/${r.id}`} target="_blank" rel="noreferrer"
+                  className="flex items-center justify-between rounded-lg border border-border bg-surface-overlay/30 px-4 py-3 transition-all hover:border-docker/40 hover:bg-docker/10">
+                  <div>
+                    <p className="text-[12px] font-medium">{r.filename}</p>
+                    <p className="text-[10px] text-foreground-faint">{r.ts} · {r.rows?.toLocaleString()} rows · {r.columns} cols</p>
+                  </div>
+                  <div className="text-right">
+                    <p className={cn('text-xl font-bold', SCORE_COLOR(r.overall_score))}>{r.overall_score}</p>
+                    <p className="text-[10px] text-foreground-muted">{r.maturity_level}</p>
+                  </div>
+                </a>
+              ))
+            )}
+          </div>
+        )}
+      </div>
+    </div>
+  )
+}
+
+function ImageGallery({ images, parseId }: { images: DocImage[]; parseId: string }) {
+  const available = images.filter((i) => i.available)
+  const [lightbox, setLightbox] = useState<number | null>(null)
+  if (!available.length) {
+    return (
+      <section className="rounded-lg border border-border bg-surface-overlay/30 p-4">
+        <h3 className="mb-2 text-[11px] font-semibold uppercase tracking-wider text-foreground-faint">
+          Images gedetecteerd ({images.length}) — no embedded export
+        </h3>
+        <p className="text-[11px] text-foreground-muted">Re-upload the document to extract images (embedded mode).</p>
+      </section>
+    )
+  }
+  return (
+    <section className="rounded-lg border border-border bg-surface-overlay/30 p-4">
+      <h3 className="mb-3 flex items-center gap-2 text-[11px] font-semibold uppercase tracking-wider text-foreground-faint">
+        <Image className="h-4 w-4 text-docker" />
+        Images die Docling ziet ({available.length})
+      </h3>
+      <div className="grid grid-cols-2 gap-3 sm:grid-cols-3 lg:grid-cols-4 xl:grid-cols-5">
+        {available.map((img) => (
+          <button
+            key={img.index}
+            type="button"
+            onClick={() => setLightbox(img.index)}
+            className="group overflow-hidden rounded-lg border border-border bg-surface-raised text-left transition-all hover:border-docker/50 hover:shadow-docker"
+          >
+            <div className="flex aspect-[4/3] items-center justify-center overflow-hidden bg-black/20">
+              <img
+                src={img.url || `/dq/parse/${parseId}/image/${img.index}`}
+                alt={img.label}
+                className="max-h-full max-w-full object-contain transition-transform group-hover:scale-105"
+                loading="lazy"
+              />
+            </div>
+            <div className="p-2">
+              <p className="text-[10px] font-medium text-foreground">#{img.index + 1} {img.label}</p>
+              <p className="text-[9px] text-foreground-faint">
+                {img.width && img.height ? `${Math.round(img.width)}×${Math.round(img.height)}` : ''}
+                {img.dpi ? ` · ${img.dpi}dpi` : ''}
+                {img.bytes ? ` · ${(img.bytes / 1024).toFixed(0)}KB` : ''}
+              </p>
+            </div>
+          </button>
+        ))}
+      </div>
+      {lightbox !== null && (
+        <div className="fixed inset-0 z-50 flex items-center justify-center bg-black/80 p-4" onClick={() => setLightbox(null)}>
+          <div className="relative max-h-[90vh] max-w-[90vw]" onClick={(e) => e.stopPropagation()}>
+            <img
+              src={`/dq/parse/${parseId}/image/${lightbox}`}
+              alt={`Image ${lightbox + 1}`}
+              className="max-h-[85vh] max-w-full rounded-lg object-contain"
+            />
+            <button type="button" onClick={() => setLightbox(null)} className="absolute -top-3 -right-3 rounded-full bg-surface-raised px-2 py-1 text-xs text-foreground">✕</button>
+          </div>
+        </div>
+      )}
+    </section>
+  )
+}
+
+function DocStructurePanel({ structure, title }: { structure: DocStructure; title: string }) {
+  return (
+    <section className="rounded-lg border border-border bg-surface-overlay/30 p-4">
+      <h3 className="mb-3 text-[11px] font-semibold uppercase tracking-wider text-foreground-faint">{title}</h3>
+      <div className="mb-3 grid grid-cols-3 gap-2 sm:grid-cols-6">
+        {[
+          { label: 'Pagina\'s', value: structure.pages, icon: Layers },
+          { label: 'Images', value: structure.pictures, icon: Image },
+          { label: 'Tables', value: structure.tables, icon: Table2 },
+          { label: 'Headings', value: structure.headings },
+          { label: 'Paragraphs', value: structure.paragraphs },
+          { label: 'Text blocks', value: structure.text_blocks },
+        ].map(({ label, value, icon: Icon }) => (
+          <div key={label} className="rounded-md border border-border bg-surface-raised p-2 text-center">
+            {Icon && <Icon className="mx-auto mb-1 h-4 w-4 text-docker" />}
+            <p className="text-lg font-bold text-foreground">{value}</p>
+            <p className="text-[9px] text-foreground-faint">{label}</p>
+          </div>
+        ))}
+      </div>
+      {structure.picture_details && structure.picture_details.length > 0 && (
+        <div className="mb-3">
+          <p className="mb-1 text-[10px] font-medium text-foreground-muted">Images ({structure.picture_details.length})</p>
+          <div className="flex flex-wrap gap-1">
+            {structure.picture_details.map((p) => (
+              <span key={p.index} className="rounded border border-border bg-surface-raised px-2 py-0.5 text-[9px]">
+                #{p.index + 1} {p.label} {p.has_image ? '🖼' : ''} {p.captions > 0 ? `(${p.captions} captions)` : ''}
+              </span>
+            ))}
+          </div>
+        </div>
+      )}
+      {structure.table_details && structure.table_details.length > 0 && (
+        <div>
+          <p className="mb-1 text-[10px] font-medium text-foreground-muted">Tables ({structure.table_details.length})</p>
+          <div className="space-y-1">
+            {structure.table_details.map((t) => (
+              <div key={t.index} className="rounded border border-border bg-surface-raised px-2 py-1 text-[10px] text-foreground-muted">
+                Table {t.index + 1}: {t.rows}×{t.cols} ({t.cells} cells) — {t.preview || '…'}
+              </div>
+            ))}
+          </div>
+        </div>
+      )}
+    </section>
+  )
+}
+
+function DimensionCard({ dimension: d }: { dimension: Dimension }) {
+  return (
+    <div className="rounded-lg border border-border bg-surface-overlay/40 p-3">
+      <div className="mb-1 flex items-center justify-between">
+        <span className="text-[12px] font-semibold">{d.label}</span>
+        <span className={cn('text-base font-bold', SCORE_COLOR(d.score))}>{d.score}</span>
+      </div>
+      <div className="mb-2 h-2 overflow-hidden rounded-full bg-border">
+        <div className={cn('h-full rounded-full', BAR_COLOR(d.score))} style={{ width: `${d.score}%` }} />
+      </div>
+      <p className="mb-2 text-[10px] text-foreground-faint">{d.description}</p>
+      <ul className="space-y-0.5 text-[10px] text-foreground-muted">
+        {d.findings.map((f) => (
+          <li key={f} className="flex gap-1"><span className="text-docker">▸</span>{f}</li>
+        ))}
+      </ul>
+      {d.recommended_actions && d.recommended_actions.length > 0 && (
+        <p className="mt-2 border-t border-border pt-2 text-[9px] text-warning">→ {d.recommended_actions[0]}</p>
+      )}
+    </div>
+  )
+}
+
+function ColumnTable({ profiles, expandedCol, onToggle }: { profiles: ColumnProfile[]; expandedCol: string | null; onToggle: (n: string | null) => void }) {
+  return (
+    <div className="overflow-x-auto rounded-lg border border-border">
+      <table className="w-full text-left text-[11px]">
+        <thead className="bg-surface-overlay text-[10px] uppercase text-foreground-faint">
+          <tr>
+            <th className="px-3 py-2">Column</th><th className="px-3 py-2">Type</th><th className="px-3 py-2">Null%</th>
+            <th className="px-3 py-2">Unique</th><th className="px-3 py-2">Flags</th>
+          </tr>
+        </thead>
+        <tbody>
+          {profiles.map((c) => (
+            <Fragment key={c.name}>
+              <tr className="cursor-pointer border-t border-border hover:bg-surface-overlay/50" onClick={() => onToggle(expandedCol === c.name ? null : c.name)}>
+                <td className="px-3 py-2 font-mono text-docker">{c.name}</td>
+                <td className="px-3 py-2">{c.dtype}</td>
+                <td className={cn('px-3 py-2', c.null_pct > 10 && 'font-semibold text-warning')}>{c.null_pct}%</td>
+                <td className="px-3 py-2">{c.unique_count.toLocaleString()}</td>
+                <td className="px-3 py-2 text-foreground-muted">{c.quality_flags.join(', ') || '—'}</td>
+              </tr>
+              {expandedCol === c.name && (
+                <tr className="border-t border-border bg-surface-overlay/20">
+                  <td colSpan={5} className="px-4 py-2 text-[10px] text-foreground-muted">
+                    {c.sample_values?.length ? <p className="mb-1">Samples: {c.sample_values.join(' · ')}</p> : null}
+                    {c.numeric && <p>Range {c.numeric.min} – {c.numeric.max}, μ={c.numeric.mean}, {c.numeric.outliers} outliers</p>}
+                    {c.text && <p>Avg len {c.text.avg_length}, {c.text.empty_strings} empty strings</p>}
+                    {c.top_values?.map((tv) => <span key={tv.value} className="mr-3">{tv.value} ({tv.count})</span>)}
+                  </td>
+                </tr>
+              )}
+            </Fragment>
+          ))}
+        </tbody>
+      </table>
+    </div>
+  )
+}
+
+function CheckTable({ title, rows }: { title: string; rows: { name: string; status: string; detail: string }[] }) {
+  return (
+    <div className="overflow-x-auto rounded-lg border border-border">
+      <p className="border-b border-border bg-surface-overlay px-3 py-2 text-[11px] font-semibold">{title}</p>
+      <table className="w-full text-[10px]">
+        <tbody>
+          {rows.map((r, i) => (
+            <tr key={i} className="border-t border-border">
+              <td className="px-3 py-1.5">
+                <span className={cn('mr-2 rounded px-1.5 py-0.5 text-[9px] font-bold uppercase',
+                  r.status === 'pass' ? 'bg-success/20 text-success' : r.status === 'warn' ? 'bg-warning/20 text-warning' : 'bg-danger/20 text-danger')}>
+                  {r.status}
+                </span>
+                {r.name}
+              </td>
+              <td className="px-3 py-1.5 text-foreground-muted">{r.detail}</td>
+            </tr>
+          ))}
+        </tbody>
+      </table>
+    </div>
+  )
+}
+
+function CapCard({ title, items, icon: Icon }: { title: string; items: string[]; icon: typeof Layers }) {
+  return (
+    <div className="rounded-lg border border-border bg-surface-raised/80 p-2.5">
+      <div className="mb-1 flex items-center gap-1.5">
+        <Icon className="h-3.5 w-3.5 text-docker" />
+        <span className="text-[10px] font-semibold uppercase tracking-wide text-foreground-faint">{title}</span>
+      </div>
+      <p className="text-[10px] leading-relaxed text-foreground-muted">{items.join(' · ')}</p>
+    </div>
+  )
+}
+
+function UploadZone({ label, hint, accept, loading, onFile }: { label: string; hint: string; accept: string; loading: boolean; onFile: (f: File) => void }) {
+  return (
+    <label className={cn('flex cursor-pointer flex-col items-center justify-center rounded-xl border-2 border-dashed border-border/80 bg-surface-overlay/30 px-8 py-10 transition-all hover:border-docker/50 hover:bg-docker/5', loading && 'pointer-events-none opacity-50')}>
+      <Upload className="mb-3 h-10 w-10 text-docker opacity-60" />
+      <p className="text-[13px] font-medium text-foreground">{label}</p>
+      <p className="mt-1 text-[10px] text-foreground-faint">{hint}</p>
+      <input type="file" accept={accept} className="hidden" disabled={loading} onChange={(e) => e.target.files?.[0] && onFile(e.target.files[0])} />
+    </label>
+  )
+}
+
+function LoadingMsg({ text }: { text: string }) {
+  return (
+    <div className="flex items-center justify-center gap-3 rounded-lg border border-docker/30 bg-docker/5 py-10 text-sm text-foreground-muted">
+      <Loader2 className="h-6 w-6 animate-spin text-docker" />
+      {text}
+    </div>
+  )
+}
+
+function StatCard({ label, value, sub, accent, warn, icon: Icon }: { label: string; value: string; sub?: string; accent?: boolean; warn?: boolean; icon?: typeof Image }) {
+  return (
+    <div className="rounded-lg border border-border bg-surface-overlay/40 p-3">
+      <div className="flex items-center gap-1">
+        {Icon && <Icon className="h-3.5 w-3.5 text-docker" />}
+        <p className="text-[9px] uppercase tracking-wider text-foreground-faint">{label}</p>
+      </div>
+      <p className={cn('text-xl font-bold', accent ? 'text-docker' : warn ? 'text-warning' : 'text-foreground')}>{value}</p>
+      {sub && <p className="text-[10px] text-foreground-muted">{sub}</p>}
+    </div>
+  )
+}

ui/src/components/features/GpuMatrixPanel.tsx

@@ -0,0 +1,205 @@
+import { useEffect, useMemo, useState, type ReactNode } from 'react'
+import { Activity, Cpu, ExternalLink, Thermometer, Zap } from 'lucide-react'
+import { fetchGpu } from '../../lib/api'
+import type { GpuDevice, GpuStatus } from '../../types'
+import type { GpuLiveMetrics } from '../../hooks/useLiveMetrics'
+import { cn } from '../../lib/utils'
+
+type Props = {
+  gpu: GpuStatus | null
+  live: GpuLiveMetrics
+  boost?: boolean
+  onSelectGpu?: () => void
+}
+
+function memPct(used: number, total: number) {
+  if (!total) return 0
+  return Math.round((used / total) * 100)
+}
+
+function utilColor(pct: number) {
+  if (pct >= 75) return 'bg-danger'
+  if (pct >= 35) return 'bg-warning'
+  return 'bg-success'
+}
+
+function GpuRow({ device, liveUtil, active }: { device: GpuDevice; liveUtil: number; active: boolean }) {
+  const vramPct = memPct(device.memory_used_mib, device.memory_total_mib)
+  const util = liveUtil ?? device.util_gpu
+
+  return (
+    <div
+      className={cn(
+        'rounded-md border border-border/80 bg-surface-overlay/60 px-2 py-1.5 transition-colors',
+        active && util > 5 && 'border-docker/30 bg-docker/5',
+      )}
+    >
+      <div className="mb-1 flex items-center justify-between gap-1">
+        <span className="font-mono text-[9px] font-semibold text-foreground">GPU {device.index}</span>
+        <span className="font-mono text-[8px] text-foreground-faint">{util.toFixed(0)}% · {vramPct}% VRAM</span>
+      </div>
+      <div className="space-y-1">
+        <MetricBar label="Util" value={util} colorClass={utilColor(util)} />
+        <MetricBar label="VRAM" value={vramPct} colorClass="bg-docker" />
+      </div>
+      <div className="mt-1 flex justify-between font-mono text-[7px] text-foreground-faint">
+        <span className="inline-flex items-center gap-0.5">
+          <Thermometer className="h-2.5 w-2.5" />
+          {device.temperature_c?.toFixed(0) ?? '—'}°C
+        </span>
+        <span>{device.power_w?.toFixed(0) ?? '—'} W</span>
+      </div>
+    </div>
+  )
+}
+
+function MetricBar({ label, value, colorClass }: { label: string; value: number; colorClass: string }) {
+  return (
+    <div className="flex items-center gap-1.5">
+      <span className="w-7 shrink-0 text-[7px] text-foreground-faint">{label}</span>
+      <div className="h-1.5 min-w-0 flex-1 overflow-hidden rounded-full bg-surface-raised">
+        <div
+          className={cn('h-full rounded-full transition-all duration-700 ease-out', colorClass)}
+          style={{ width: `${Math.min(100, Math.max(0, value))}%` }}
+        />
+      </div>
+    </div>
+  )
+}
+
+export function GpuMatrixPanel({ gpu, live, boost = false, onSelectGpu }: Props) {
+  const [localGpu, setLocalGpu] = useState<GpuStatus | null>(gpu)
+  const [lastPoll, setLastPoll] = useState<Date | null>(null)
+
+  useEffect(() => {
+    setLocalGpu(gpu)
+  }, [gpu])
+
+  useEffect(() => {
+    const poll = async () => {
+      const g = await fetchGpu()
+      if (g) {
+        setLocalGpu(g)
+        setLastPoll(new Date())
+      }
+    }
+    poll()
+    const ms = boost ? 1000 : 3000
+    const iv = setInterval(poll, ms)
+    return () => clearInterval(iv)
+  }, [boost])
+
+  const g = localGpu
+  const devices = g?.gpus || []
+  const inferenceOn = g?.ok && g.inference_active
+  const modelLabel = g?.active_model?.replace(/\s*GPTQ$/i, '').replace(/\s*AWQ$/i, '') || 'No model'
+
+  const avgUtil = useMemo(() => {
+    if (devices.length) {
+      const sum = devices.reduce((s, d, i) => s + (live.deviceUtils[i] ?? d.util_gpu), 0)
+      return sum / devices.length
+    }
+    return live.avgUtil
+  }, [devices, live.avgUtil, live.deviceUtils])
+
+  const avgVram = useMemo(() => {
+    if (devices.length) {
+      return devices.reduce((s, d) => s + memPct(d.memory_used_mib, d.memory_total_mib), 0) / devices.length
+    }
+    return live.avgVram
+  }, [devices, live.avgVram])
+
+  if (!g?.ok) {
+    return (
+      <section className="border-b border-border p-3">
+        <h2 className="mb-2 flex items-center gap-1.5 text-[9px] font-semibold uppercase tracking-widest text-foreground-faint">
+          <Cpu className="h-3 w-3" /> GPU Matrix
+        </h2>
+        <p className="text-[9px] text-foreground-faint">GPU Lab offline</p>
+      </section>
+    )
+  }
+
+  return (
+    <section className="border-b border-border p-3">
+      <button
+        type="button"
+        onClick={onSelectGpu}
+        className="mb-2 flex w-full items-start justify-between gap-1 text-left hover:opacity-90"
+      >
+        <div className="min-w-0">
+          <h2 className="flex items-center gap-1.5 text-[9px] font-semibold uppercase tracking-widest text-foreground-faint">
+            <Cpu className="h-3 w-3 text-docker" /> GPU Matrix
+            {boost && (
+              <span className="inline-flex items-center gap-0.5 rounded border border-docker/40 bg-docker/10 px-1 py-px text-[7px] font-bold normal-case tracking-normal text-docker">
+                <Activity className="h-2.5 w-2.5 animate-pulse" /> Live
+              </span>
+            )}
+          </h2>
+          <p className="mt-0.5 truncate text-[10px] font-medium text-foreground">{modelLabel}</p>
+          <p className="font-mono text-[8px] text-foreground-faint">{g.gpu_count ?? devices.length}× V100 · {g.host}</p>
+        </div>
+        {g.ui_url && (
+          <a
+            href={g.ui_url}
+            target="_blank"
+            rel="noreferrer"
+            onClick={(e) => e.stopPropagation()}
+            className="shrink-0 text-docker hover:underline"
+          >
+            <ExternalLink className="h-3 w-3" />
+          </a>
+        )}
+      </button>
+
+      <div className="mb-2 grid grid-cols-3 gap-1">
+        <StatChip
+          label="Status"
+          value={inferenceOn ? 'Active' : 'Idle'}
+          accent={inferenceOn ? 'text-success' : 'text-foreground-muted'}
+        />
+        <StatChip label="Util" value={`${avgUtil.toFixed(0)}%`} accent={avgUtil > 20 ? 'text-warning' : 'text-foreground'} />
+        <StatChip
+          label="tok/s"
+          value={boost && inferenceOn ? String(live.tokenThroughput) : inferenceOn ? '—' : '0'}
+          icon={<Zap className="h-2.5 w-2.5 text-amber-400" />}
+        />
+      </div>
+
+      <div className="scrollbar-thin max-h-[280px] space-y-1.5 overflow-y-auto">
+        {devices.map((d, i) => (
+          <GpuRow
+            key={d.index}
+            device={d}
+            liveUtil={live.deviceUtils[i] ?? d.util_gpu}
+            active={boost}
+          />
+        ))}
+      </div>
+
+      <p className="mt-1.5 font-mono text-[7px] text-foreground-faint">
+        VRAM avg {avgVram.toFixed(0)}% · poll {boost ? '1s' : '3s'}
+        {lastPoll && ` · ${lastPoll.toLocaleTimeString()}`}
+      </p>
+    </section>
+  )
+}
+
+function StatChip({
+  label,
+  value,
+  accent,
+  icon,
+}: {
+  label: string
+  value: string
+  accent?: string
+  icon?: ReactNode
+}) {
+  return (
+    <div className="rounded border border-border bg-surface-overlay/80 px-1.5 py-1 text-center">
+      <p className="flex items-center justify-center gap-0.5 text-[7px] text-foreground-faint">{icon}{label}</p>
+      <p className={cn('font-mono text-[9px] font-semibold', accent || 'text-foreground')}>{value}</p>
+    </div>
+  )
+}

ui/src/components/features/GpuMonitor.tsx

@@ -0,0 +1,56 @@
+import type { ReactNode } from 'react'
+import { Cpu, ExternalLink, Zap } from 'lucide-react'
+import type { GpuStatus } from '../../types'
+import type { GpuLiveMetrics } from '../../hooks/useLiveMetrics'
+import { Badge } from '../ui/Badge'
+
+type Props = {
+  gpu: GpuStatus | null
+  live: GpuLiveMetrics
+}
+
+export function GpuMonitor({ gpu, live }: Props) {
+  if (!gpu) {
+    return (
+      <div className="panel flex h-[148px] shrink-0 items-center px-2.5 py-1.5 text-[9px] text-foreground-faint">GPU offline</div>
+    )
+  }
+
+  const inferenceOn = gpu.inference_active && gpu.ok
+  const devices = gpu.gpus || []
+
+  return (
+    <div className="panel flex h-[148px] shrink-0 flex-col px-2.5 py-1.5">
+      <div className="flex min-h-0 flex-1 flex-nowrap items-center gap-x-3 gap-y-1 overflow-x-auto overflow-y-hidden">
+        <div className="flex items-center gap-1.5">
+          <Cpu className="h-3 w-3 text-docker" />
+          <span className="text-[9px] font-semibold uppercase tracking-wider text-foreground-muted">GPU</span>
+          <Badge variant={inferenceOn ? 'success' : 'default'} className="!py-0">
+            {inferenceOn ? 'ON' : 'Standby'}
+          </Badge>
+        </div>
+        <Chip label="Model" value={gpu.active_model?.split('-')[0] || '—'} />
+        <Chip label="tok/s" value={inferenceOn ? String(live.tokenThroughput) : '—'} icon={<Zap className="h-2.5 w-2.5 text-amber-500" />} />
+        <Chip label="Util" value={`${Math.round(live.avgUtil)}%`} />
+        <Chip label="VRAM" value={`${Math.round(live.avgVram)}%`} />
+        {devices.slice(0, 4).map((d, i) => (
+          <Chip key={d.index} label={`G${d.index}`} value={`${live.deviceUtils[i] ?? d.util_gpu}%`} />
+        ))}
+        {gpu.ui_url && (
+          <a href={gpu.ui_url} target="_blank" rel="noreferrer" className="ml-auto flex items-center gap-0.5 text-[9px] text-docker hover:underline">
+            {gpu.host} <ExternalLink className="h-2.5 w-2.5" />
+          </a>
+        )}
+      </div>
+    </div>
+  )
+}
+
+function Chip({ label, value, icon }: { label: string; value: string; icon?: ReactNode }) {
+  return (
+    <div className="flex items-center gap-1 rounded border border-border bg-surface-overlay/80 px-1.5 py-0.5">
+      <span className="flex items-center gap-0.5 text-[8px] text-foreground-faint">{icon}{label}</span>
+      <span className="font-mono text-[9px] font-medium text-foreground">{value}</span>
+    </div>
+  )
+}

ui/src/components/features/InfraQuickAccess.tsx

@@ -0,0 +1,129 @@
+import { ExternalLink, RefreshCw, Terminal } from 'lucide-react'
+import type { Agent, WorkloadData } from '../../types'
+import { getAgentMeta } from '../../lib/agentMeta'
+import { copyShellCommand, INFRA_CATALOG, type InfraNode } from '../../lib/infraCatalog'
+import { cn } from '../../lib/utils'
+
+type Props = {
+  workload: WorkloadData | null
+  agents: Agent[]
+  selectedNodeId: string | null
+  busy: boolean
+  onSelectNode: (id: string) => void
+  onSelectAgent: (id: string) => void
+  onProbe: (nodeId: string) => void
+  onOpenTerminal: (nodeId: string) => void
+}
+
+function zoneStats(workload: WorkloadData | null, zoneId: string) {
+  const z = workload?.zones?.find((x) => x.id === zoneId)
+  if (!z) return null
+  return `${z.running}/${z.total}`
+}
+
+export function InfraQuickAccess({
+  workload,
+  agents,
+  selectedNodeId,
+  busy,
+  onSelectNode,
+  onSelectAgent,
+  onProbe,
+  onOpenTerminal,
+}: Props) {
+  const handleShell = async (node: InfraNode) => {
+    await copyShellCommand(node.ssh)
+    onSelectNode(node.id)
+    onOpenTerminal(node.id)
+    onProbe(node.id)
+  }
+
+  return (
+    <section className="panel shrink-0 p-2">
+      <div className="mb-2 flex items-center justify-between gap-2">
+        <div>
+          <h3 className="text-[9px] font-semibold uppercase tracking-wider text-foreground-muted">Infrastructure & Apps</h3>
+          <p className="text-[8px] text-foreground-faint">Klik voor inspector · Shell kopieert SSH en opent live terminal · UI opent de applicatie</p>
+        </div>
+        {workload && (
+          <span className="shrink-0 font-mono text-[8px] text-foreground-faint">
+            {workload.totals.apps_running}/{workload.totals.apps_total} containers
+          </span>
+        )}
+      </div>
+      <div className="grid grid-cols-1 gap-1.5 sm:grid-cols-2 xl:grid-cols-3 2xl:grid-cols-5">
+        {INFRA_CATALOG.map((node) => {
+          const Icon = node.icon
+          const agent = agents.find((a) => a.id === node.agentId)
+          const meta = agent ? getAgentMeta(agent.id) : null
+          const active = selectedNodeId === node.id || node.topoIds.includes(selectedNodeId || '')
+          const stats = zoneStats(workload, node.zone)
+          return (
+            <div
+              key={node.id}
+              className={cn(
+                'flex flex-col rounded-lg border bg-surface-overlay/60 p-2 transition-colors',
+                active ? 'border-docker/50 ring-1 ring-docker/20' : 'border-border hover:border-border-strong',
+              )}
+            >
+              <button type="button" onClick={() => onSelectNode(node.id)} className="mb-1.5 text-left">
+                <div className="flex items-start gap-2">
+                  <span className="flex h-8 w-8 shrink-0 items-center justify-center rounded-md bg-surface" style={{ color: node.accent }}>
+                    <Icon className="h-4 w-4" />
+                  </span>
+                  <div className="min-w-0 flex-1">
+                    <p className="truncate text-[11px] font-semibold text-foreground">{node.label}</p>
+                    <p className="font-mono text-[8px] text-foreground-faint">{node.vm} · {node.ip}</p>
+                    {stats && <p className="font-mono text-[8px] text-foreground-muted">{stats} running</p>}
+                  </div>
+                </div>
+                <p className="mt-1 line-clamp-2 text-[9px] leading-snug text-foreground-muted">{node.description}</p>
+              </button>
+
+              {agent && meta && (
+                <button
+                  type="button"
+                  onClick={() => onSelectAgent(agent.id)}
+                  className="mb-1.5 truncate text-left text-[8px] hover:text-docker"
+                  style={{ color: meta.accent }}
+                >
+                  Agent: {agent.name.split(' ·')[0]}
+                </button>
+              )}
+
+              <div className="mt-auto flex flex-wrap gap-1">
+                <button
+                  type="button"
+                  onClick={() => handleShell(node)}
+                  className="inline-flex items-center gap-1 rounded border border-border bg-surface px-1.5 py-0.5 text-[8px] text-foreground-muted hover:border-docker/40 hover:text-docker"
+                  title={node.ssh}
+                >
+                  <Terminal className="h-3 w-3" /> Shell
+                </button>
+                <button
+                  type="button"
+                  onClick={() => { onSelectNode(node.id); onProbe(node.id) }}
+                  disabled={busy}
+                  className="inline-flex items-center gap-1 rounded border border-border bg-surface px-1.5 py-0.5 text-[8px] text-foreground-muted hover:border-border-strong disabled:opacity-50"
+                >
+                  <RefreshCw className={cn('h-3 w-3', busy && active && 'animate-spin')} /> Probe
+                </button>
+                {node.apps.slice(0, 2).map((app) => (
+                  <a
+                    key={app.url}
+                    href={app.url}
+                    target="_blank"
+                    rel="noreferrer"
+                    className="inline-flex items-center gap-1 rounded border border-docker/25 bg-docker-light/40 px-1.5 py-0.5 text-[8px] text-docker hover:underline dark:bg-blue-500/10"
+                  >
+                    <ExternalLink className="h-3 w-3" /> {app.label}
+                  </a>
+                ))}
+              </div>
+            </div>
+          )
+        })}
+      </div>
+    </section>
+  )
+}

ui/src/components/features/InspectorPanel.tsx

@@ -0,0 +1,294 @@
+import { useState, type FormEvent } from 'react'
+import { ExternalLink, RefreshCw, Terminal, X } from 'lucide-react'
+import type { Agent, FeedEntry, GpuStatus, NodeDetail, TerminalLine, TopologyNode, WorkloadData } from '../../types'
+import { AGENT_NODE } from '../../lib/constants'
+import { getAgentMeta } from '../../lib/agentMeta'
+import { copyShellCommand, resolveInfraNode } from '../../lib/infraCatalog'
+import { Button } from '../ui/Button'
+import { Card, CardDescription, CardTitle } from '../ui/Card'
+import { Input } from '../ui/Input'
+import { cn } from '../../lib/utils'
+
+type Tab = 'overview' | 'apps' | 'terminal'
+
+type Props = {
+  node: TopologyNode | null
+  nodeDetail: NodeDetail | null
+  agent: Agent | null
+  agents: Agent[]
+  workload: WorkloadData | null
+  gpu: GpuStatus | null
+  feed: FeedEntry[]
+  lines: TerminalLine[]
+  busy: boolean
+  onProbe: () => void
+  onAsk: (message: string) => void
+  onSelectAgent: (id: string) => void
+  onSendPrompt: (message: string, agentId?: string) => void
+  onClear: () => void
+  onOpenTerminal: (nodeId: string) => void
+  onProbeNodeId: (nodeId: string) => void
+}
+
+export function InspectorPanel({
+  node,
+  nodeDetail,
+  agent,
+  agents,
+  workload,
+  gpu,
+  feed,
+  lines,
+  busy,
+  onProbe,
+  onAsk,
+  onSelectAgent,
+  onSendPrompt,
+  onClear,
+  onOpenTerminal,
+  onProbeNodeId,
+}: Props) {
+  const [tab, setTab] = useState<Tab>('overview')
+  const [input, setInput] = useState('')
+  const [shellCopied, setShellCopied] = useState(false)
+  const d = nodeDetail || node
+  const infra = resolveInfraNode(d?.id || null)
+  const linkedAgent = d
+    ? agents.find((a) => a.id === d.id || AGENT_NODE[a.id] === d.id || a.id === infra?.agentId || a.zone === d.id)
+    : agent
+
+  const submit = (e: FormEvent) => {
+    e.preventDefault()
+    if (!input.trim() || busy) return
+    onAsk(input.trim())
+    setInput('')
+    setTab('terminal')
+    if (d?.id) onOpenTerminal(d.id)
+  }
+
+  const runShell = async () => {
+    if (!infra) return
+    await copyShellCommand(infra.ssh)
+    setShellCopied(true)
+    setTimeout(() => setShellCopied(false), 2000)
+    onOpenTerminal(infra.id)
+    onProbeNodeId(infra.id)
+    setTab('terminal')
+  }
+
+  return (
+    <aside className="flex min-h-0 flex-1 flex-col bg-surface-raised">
+      <header className="flex items-start justify-between gap-2 border-b border-border p-3">
+        <div className="min-w-0">
+          <p className="text-[9px] font-semibold uppercase tracking-widest text-docker">Inspector</p>
+          <h2 className="truncate text-sm font-semibold text-foreground">
+            {d ? d.label : agent ? agent.name.split(' ·')[0] : 'Lab overview'}
+          </h2>
+        </div>
+        {(d || agent) && (
+          <Button variant="ghost" size="icon" onClick={onClear} aria-label="Clear">
+            <X className="h-4 w-4" />
+          </Button>
+        )}
+      </header>
+
+      {!d && !agent && (
+        <div className="scrollbar-thin flex-1 space-y-3 overflow-y-auto p-3">
+          <div className="rounded-lg border border-docker/25 bg-docker-light/50 p-2.5 dark:bg-blue-500/10">
+            <p className="mb-1.5 text-[10px] font-semibold text-foreground">Snel starten</p>
+            <ol className="list-decimal space-y-1 pl-4 text-[10px] leading-relaxed text-foreground-muted">
+              <li>Select an <strong className="text-foreground">infrastructure card</strong> or topology node</li>
+              <li>Klik <strong className="text-foreground">Shell</strong> voor SSH + live terminal output</li>
+              <li>Klik <strong className="text-foreground">UI</strong> om Airflow, Trino, Kafka UI, etc. te openen</li>
+              <li>Stel vragen via <strong className="text-foreground">Chat</strong> onderaan — agents zien de hele cluster</li>
+            </ol>
+          </div>
+          <div>
+            <p className="mb-1.5 text-[9px] uppercase tracking-wider text-foreground-faint">Agents & domeinen</p>
+            <div className="space-y-1">
+              {agents.filter((a) => !a.supervisor).map((a) => {
+                const meta = getAgentMeta(a.id)
+                return (
+                  <button
+                    key={a.id}
+                    type="button"
+                    onClick={() => onSelectAgent(a.id)}
+                    className="flex w-full items-start gap-2 rounded border border-border bg-surface-overlay/60 px-2 py-1.5 text-left hover:border-border-strong"
+                  >
+                    <span className="mt-0.5 text-[9px] font-semibold" style={{ color: meta.accent }}>{a.name.split(' ·')[0]}</span>
+                    <span className="min-w-0 flex-1 text-[9px] text-foreground-muted">{a.role}</span>
+                  </button>
+                )
+              })}
+            </div>
+          </div>
+          {workload && (
+            <div className="grid grid-cols-2 gap-1.5">
+              <Stat label="VMs" value={String(workload.totals.vms ?? '—')} />
+              <Stat label="Containers" value={`${workload.totals.apps_running}/${workload.totals.apps_total}`} />
+              <Stat label="Connectors" value={String(workload.totals.connectors)} />
+              <Stat label="Pipeline" value={workload.totals.pipeline_active ? 'active' : 'degraded'} ok={workload.totals.pipeline_active} />
+            </div>
+          )}
+          {gpu?.ok && (
+            <Card padding className="!p-2">
+              <CardTitle>GPU · {gpu.host}</CardTitle>
+              <CardDescription>{gpu.active_model || 'No model'}</CardDescription>
+            </Card>
+          )}
+        </div>
+      )}
+
+      {agent && !d && (
+        <div className="scrollbar-thin flex-1 overflow-y-auto p-3">
+          {(() => {
+            const meta = getAgentMeta(agent.id)
+            const Icon = meta.icon
+            return (
+              <>
+                <div className="mb-3 flex items-center gap-2 rounded-lg border border-border bg-surface-overlay p-2">
+                  <span className="flex h-10 w-10 items-center justify-center rounded-lg bg-surface" style={{ color: meta.accent }}>
+                    <Icon className="h-5 w-5" />
+                  </span>
+                  <div>
+                    <p className="text-sm font-semibold text-foreground">{agent.name}</p>
+                    <p className="text-[10px] text-foreground-muted">{meta.domain} · {agent.zone}</p>
+                  </div>
+                </div>
+                <p className="mb-2 text-[10px] italic text-foreground-muted">"{agent.motto || agent.role}"</p>
+                <div className="mb-2 flex flex-wrap gap-1">
+                  {(agent.suggested_prompts || []).slice(0, 4).map((prompt) => (
+                    <button
+                      key={prompt}
+                      type="button"
+                      onClick={() => onSendPrompt(prompt, agent.id)}
+                      className="rounded border border-border px-1.5 py-0.5 text-[9px] text-foreground-muted hover:border-docker/40 hover:text-docker"
+                    >
+                      {prompt}
+                    </button>
+                  ))}
+                </div>
+                <button
+                  type="button"
+                  onClick={() => onOpenTerminal(agent.id)}
+                  className="mb-2 inline-flex items-center gap-1 rounded border border-border px-2 py-1 text-[9px] hover:border-docker/40"
+                >
+                  <Terminal className="h-3 w-3" /> Agent terminal
+                </button>
+              </>
+            )
+          })()}
+        </div>
+      )}
+
+      {d && (
+        <>
+          {linkedAgent && (
+            <div className="flex items-center gap-2 border-b border-border bg-surface-overlay/50 px-3 py-1.5">
+              <span className="text-[8px] uppercase tracking-wider text-foreground-faint">Agent</span>
+              <button type="button" onClick={() => onSelectAgent(linkedAgent.id)} className="truncate text-[10px] font-medium text-docker hover:underline">
+                {linkedAgent.name.split(' ·')[0]}
+              </button>
+            </div>
+          )}
+          <div className="flex flex-wrap items-center gap-1 border-b border-border px-3 py-1.5 font-mono text-[9px] text-foreground-muted">
+            <span className={cn('h-1.5 w-1.5 rounded-full', d.level === 'ok' ? 'bg-success' : 'bg-warning')} />
+            {d.vm} · {d.ip}
+            <span className="ml-auto">{d.running}/{d.total}</span>
+          </div>
+
+          <div className="flex flex-wrap gap-1 border-b border-border p-2">
+            {infra && (
+              <Button size="sm" variant="outline" onClick={runShell} disabled={busy}>
+                <Terminal className="h-3 w-3" />
+                {shellCopied ? 'SSH gekopieerd' : 'Shell'}
+              </Button>
+            )}
+            <Button size="sm" variant="outline" onClick={onProbe} disabled={busy}>
+              <RefreshCw className={cn('h-3 w-3', busy && 'animate-spin')} /> Probe
+            </Button>
+            {(infra?.apps || []).slice(0, 3).map((app) => (
+              <a
+                key={app.url}
+                href={app.url}
+                target="_blank"
+                rel="noreferrer"
+                className="inline-flex items-center gap-1 rounded-md border border-docker/30 bg-docker-light/30 px-2 py-1 text-[9px] text-docker hover:underline dark:bg-blue-500/10"
+              >
+                <ExternalLink className="h-3 w-3" /> {app.label}
+              </a>
+            ))}
+            {(d.links || []).map((l) => (
+              <a key={l.url} href={l.url} target="_blank" rel="noreferrer" className="inline-flex items-center gap-1 rounded-md border border-border px-2 py-1 text-[9px] hover:bg-surface-overlay">
+                <ExternalLink className="h-3 w-3" /> {l.label}
+              </a>
+            ))}
+          </div>
+
+          <nav className="flex gap-1 border-b border-border px-2 py-1">
+            {(['overview', 'apps', 'terminal'] as Tab[]).map((t) => (
+              <button key={t} type="button" onClick={() => setTab(t)} className={cn('rounded px-2 py-0.5 text-[10px] capitalize', tab === t ? 'bg-docker-light text-docker' : 'text-foreground-muted')}>
+                {t}
+              </button>
+            ))}
+          </nav>
+          <div className="scrollbar-thin min-h-0 flex-1 overflow-y-auto p-3 text-[10px]">
+            {tab === 'overview' && (
+              <div className="space-y-2">
+                {(d.description || infra?.description) && <p className="text-foreground-muted">{d.description || infra?.description}</p>}
+                {infra && <p className="font-mono text-[9px] text-foreground-faint">{infra.ssh}</p>}
+                {(d.endpoints || []).map((ep) => (
+                  <p key={ep.name} className="font-mono text-foreground-muted">{ep.name}: {ep.host}:{ep.port}</p>
+                ))}
+                {(d.commands || []).map((cmd) => (
+                  <button
+                    key={cmd}
+                    type="button"
+                    onClick={() => { setInput(cmd); setTab('terminal') }}
+                    className="block w-full rounded border border-border px-2 py-1 text-left font-mono text-[9px] hover:bg-surface-overlay"
+                  >
+                    $ {cmd}
+                  </button>
+                ))}
+              </div>
+            )}
+            {tab === 'apps' && (
+              <div className="space-y-1">
+                {(d.apps || []).map((app) => (
+                  <div key={app.name} className="rounded border border-border bg-surface px-2 py-1">
+                    <p className="font-medium text-foreground">{app.name}</p>
+                    <p className="font-mono text-[9px] text-foreground-faint">{app.state} · {app.image}</p>
+                  </div>
+                ))}
+              </div>
+            )}
+            {tab === 'terminal' && (
+              <div className="rounded border border-border bg-black/40 p-2 font-mono text-[9px]">
+                {lines.map((line) => (
+                  <div key={line.id} className="text-foreground-muted">
+                    <span className="text-foreground-faint">{line.ts ? new Date(line.ts).toLocaleTimeString('en-US', { hour12: false }) : ''}</span>{' '}
+                    <span className="text-docker">{line.phase}</span> {line.text}
+                  </div>
+                ))}
+                {busy && <span className="text-docker animate-pulse">█</span>}
+              </div>
+            )}
+          </div>
+          <form onSubmit={submit} className="flex gap-1 border-t border-border p-2">
+            <Input value={input} onChange={(e) => setInput(e.target.value)} placeholder={`Vraag over ${d.label}…`} disabled={busy} className="text-xs" />
+            <Button type="submit" size="sm" disabled={busy || !input.trim()}>Send</Button>
+          </form>
+        </>
+      )}
+    </aside>
+  )
+}
+
+function Stat({ label, value, ok }: { label: string; value: string; ok?: boolean }) {
+  return (
+    <div className="rounded border border-border bg-surface-overlay px-2 py-1.5">
+      <p className="text-[8px] uppercase text-foreground-faint">{label}</p>
+      <p className={cn('font-mono text-[11px] font-medium', ok === false ? 'text-warning' : ok ? 'text-success' : 'text-foreground')}>{value}</p>
+    </div>
+  )
+}

ui/src/components/features/KnowledgeChatView.tsx

@@ -0,0 +1,358 @@
+import { useCallback, useEffect, useRef, useState } from 'react'
+import { BookOpen, FileText, Loader2, MessageSquare, RefreshCw, RotateCcw, Send, Upload } from 'lucide-react'
+import { cn } from '../../lib/utils'
+import { subTabActive, subTabIdle } from '../../lib/tabActive'
+
+type Collection = { name: string; documents: number; files?: number; filenames?: string[] }
+type StoredDoc = {
+  id: string
+  filename: string
+  collection: string
+  chunks: number
+  characters?: number
+  ingested_at: string
+  bytes?: number
+}
+type Source = { source?: string; chunk?: number; preview?: string }
+type ChatMsg = { role: 'user' | 'assistant'; content: string; sources?: Source[] }
+
+type Health = { ok: boolean; chroma: boolean; docling: boolean; llm: boolean; embed_model?: string }
+
+type Props = { onGpuActivity?: (active: boolean) => void }
+
+export function KnowledgeChatView({ onGpuActivity }: Props = {}) {
+  const [health, setHealth] = useState<Health | null>(null)
+  const [collections, setCollections] = useState<Collection[]>([])
+  const [collection, setCollection] = useState('default')
+  const [newCol, setNewCol] = useState('')
+  const [messages, setMessages] = useState<ChatMsg[]>([])
+  const [input, setInput] = useState('')
+  const [loading, setLoading] = useState(false)
+  const [ingesting, setIngesting] = useState(false)
+  const [error, setError] = useState<string | null>(null)
+  const [storedDocs, setStoredDocs] = useState<StoredDoc[]>([])
+  const [selectedDocId, setSelectedDocId] = useState<string | null>(null)
+  const [summarizing, setSummarizing] = useState(false)
+  const [reindexing, setReindexing] = useState<string | null>(null)
+  const bottomRef = useRef<HTMLDivElement>(null)
+
+  const loadMeta = useCallback(async () => {
+    try {
+      const [h, c, d] = await Promise.all([
+        fetch('/rag/health'),
+        fetch('/rag/collections'),
+        fetch('/rag/documents'),
+      ])
+      if (h.ok) setHealth(await h.json())
+      if (c.ok) {
+        const j = await c.json()
+        setCollections(j.collections || [])
+      }
+      if (d.ok) {
+        const j = await d.json()
+        setStoredDocs(j.documents || [])
+      }
+    } catch {
+      setHealth(null)
+    }
+  }, [])
+
+  useEffect(() => {
+    loadMeta()
+  }, [loadMeta])
+
+  useEffect(() => {
+    bottomRef.current?.scrollIntoView({ behavior: 'smooth' })
+  }, [messages, loading])
+
+  useEffect(() => {
+    onGpuActivity?.(loading || ingesting || summarizing || reindexing !== null)
+  }, [loading, ingesting, summarizing, reindexing, onGpuActivity])
+
+  const onIngest = async (file: File) => {
+    setIngesting(true)
+    setError(null)
+    const fd = new FormData()
+    fd.append('file', file)
+    fd.append('collection', collection)
+    try {
+      const r = await fetch('/rag/ingest', { method: 'POST', body: fd })
+      const j = await r.json()
+      if (!r.ok || !j.ok) {
+        setError(j.error || 'Ingest failed')
+        return
+      }
+      setMessages((m) => [...m, {
+        role: 'assistant',
+        content: j.duplicate
+          ? `Already indexed: ${j.filename} (${j.chunks} chunks). You can chat immediately — no re-upload needed.`
+          : `Indexed ${j.filename} → collection "${j.collection}" — ${j.chunks} chunks (${j.characters?.toLocaleString()} chars). Stored permanently.`,
+      }])
+      loadMeta()
+    } catch {
+      setError('RAG API unavailable')
+    } finally {
+      setIngesting(false)
+    }
+  }
+
+  const onSummarize = async (doc: StoredDoc) => {
+    setSummarizing(true)
+    setError(null)
+    setSelectedDocId(doc.id)
+    setCollection(doc.collection)
+    setMessages((m) => [...m, { role: 'user', content: `Summarize: ${doc.filename}` }])
+    try {
+      const r = await fetch('/rag/summarize', {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify({ collection: doc.collection, doc_id: doc.id }),
+      })
+      const j = await r.json()
+      if (!r.ok || !j.ok) {
+        setError(j.error || 'Summarize failed')
+        return
+      }
+      setMessages((m) => [...m, {
+        role: 'assistant',
+        content: `Summary of ${j.filename} (${j.characters?.toLocaleString()} chars):\n\n${j.summary}`,
+      }])
+    } catch {
+      setError('Summarize request failed')
+    } finally {
+      setSummarizing(false)
+    }
+  }
+
+  const onReindex = async (doc: StoredDoc) => {
+    setReindexing(doc.id)
+    setError(null)
+    try {
+      const r = await fetch(`/rag/documents/${doc.id}/reindex`, { method: 'POST' })
+      const j = await r.json()
+      if (!r.ok || !j.ok) {
+        setError(j.error || 'Re-index failed')
+        return
+      }
+      setMessages((m) => [...m, {
+        role: 'assistant',
+        content: `Re-indexed ${j.filename}: ${j.chunks} clean text chunks (${j.characters?.toLocaleString()} chars). You can now chat and summarize.`,
+      }])
+      loadMeta()
+    } catch {
+      setError('Re-index request failed')
+    } finally {
+      setReindexing(null)
+    }
+  }
+
+  const onSend = async () => {
+    const msg = input.trim()
+    if (!msg || loading) return
+    setInput('')
+    setError(null)
+    setMessages((m) => [...m, { role: 'user', content: msg }])
+    setLoading(true)
+    try {
+      const r = await fetch('/rag/chat', {
+        method: 'POST',
+        headers: { 'Content-Type': 'application/json' },
+        body: JSON.stringify({ message: msg, collection, top_k: 5 }),
+      })
+      const j = await r.json()
+      if (!r.ok || !j.ok) {
+        setError(j.error || 'Chat failed')
+        setLoading(false)
+        return
+      }
+      setMessages((m) => [...m, { role: 'assistant', content: j.answer, sources: j.sources }])
+    } catch {
+      setError('Failed to reach RAG / LLM service')
+    } finally {
+      setLoading(false)
+    }
+  }
+
+  const createCollection = async () => {
+    if (!newCol.trim()) return
+    const fd = new FormData()
+    fd.append('name', newCol.trim())
+    await fetch('/rag/collections', { method: 'POST', body: fd })
+    setCollection(newCol.trim())
+    setNewCol('')
+    loadMeta()
+  }
+
+  const doclingUiUrl = `${window.location.protocol}//${window.location.hostname}:5001/ui/`
+
+  return (
+    <div className="flex h-full min-h-[calc(100vh-140px)] flex-col rounded-lg border border-border bg-surface-raised">
+      <header className="shrink-0 border-b border-border bg-surface-overlay/30 px-4 py-3">
+        <div className="flex flex-wrap items-start justify-between gap-3">
+          <div>
+            <h2 className="text-base font-semibold text-foreground">Knowledge Chat (RAG)</h2>
+            <p className="text-[11px] text-foreground-muted">
+              LangChain + ChromaDB — chat with your ingested documents via Llama 70B
+            </p>
+          </div>
+          <div className="flex flex-wrap items-center gap-2 text-[10px]">
+            {health && (
+              <>
+                <StatusPill ok={health.chroma} label="ChromaDB" />
+                <StatusPill ok={health.docling} label="Docling" />
+                <StatusPill ok={health.llm} label="LLM" />
+              </>
+            )}
+            <button type="button" onClick={loadMeta} className="rounded border border-border p-1.5 hover:bg-surface-overlay">
+              <RefreshCw className="h-4 w-4" />
+            </button>
+          </div>
+        </div>
+      </header>
+
+      <div className="flex min-h-0 flex-1 flex-col lg:flex-row">
+        <aside className="shrink-0 border-b border-border p-4 lg:w-72 lg:border-b-0 lg:border-r">
+          <h3 className="mb-2 text-[10px] font-semibold uppercase tracking-wider text-foreground-faint">Collection</h3>
+          <select
+            value={collection}
+            onChange={(e) => setCollection(e.target.value)}
+            className="mb-2 w-full rounded border border-border bg-surface-overlay px-2 py-1.5 text-[11px]"
+          >
+            {collections.length === 0 && <option value="default">default (empty)</option>}
+            {collections.map((c) => (
+              <option key={c.name} value={c.name}>{c.name} ({c.documents} docs)</option>
+            ))}
+          </select>
+          <div className="mb-4 flex gap-1">
+            <input
+              value={newCol}
+              onChange={(e) => setNewCol(e.target.value)}
+              placeholder="New collection name"
+              className="min-w-0 flex-1 rounded border border-border bg-surface-overlay px-2 py-1 text-[10px]"
+            />
+            <button type="button" onClick={createCollection} className={cn('shrink-0 rounded px-2 py-1 text-[10px]', subTabIdle)}>Add</button>
+          </div>
+
+          <h3 className="mb-2 text-[10px] font-semibold uppercase tracking-wider text-foreground-faint">Ingest documents</h3>
+          <label className={cn('flex cursor-pointer flex-col items-center rounded-lg border-2 border-dashed border-border px-3 py-4 text-center hover:border-docker/40', ingesting && 'opacity-50')}>
+            <Upload className="mb-1 h-6 w-6 text-docker opacity-60" />
+            <span className="text-[10px] font-medium">PDF, PPTX, DOCX, CSV, TXT, MD</span>
+            <span className="text-[9px] text-foreground-faint">Stored in ChromaDB + disk — upload once</span>
+            <input type="file" className="hidden" disabled={ingesting} accept=".pdf,.pptx,.ppt,.docx,.csv,.txt,.md,.json" onChange={(e) => e.target.files?.[0] && onIngest(e.target.files[0])} />
+          </label>
+          {ingesting && (
+            <p className="mt-2 flex items-center gap-1 text-[10px] text-foreground-muted">
+              <Loader2 className="h-3 w-3 animate-spin" /> Ingesting & embedding…
+            </p>
+          )}
+
+          <h3 className="mb-2 mt-4 text-[10px] font-semibold uppercase tracking-wider text-foreground-faint">
+            Document library ({storedDocs.length})
+          </h3>
+          <div className="scrollbar-thin max-h-40 space-y-1 overflow-y-auto">
+            {storedDocs.length === 0 ? (
+              <p className="text-[9px] text-foreground-faint">No documents yet — upload above.</p>
+            ) : (
+              storedDocs.map((doc) => (
+                <div
+                  key={doc.id}
+                  className={cn(
+                    'rounded border px-2 py-1.5 text-[9px] transition-colors',
+                    selectedDocId === doc.id ? 'border-docker/40 bg-docker/10' : 'border-border',
+                  )}
+                >
+                  <button type="button" onClick={() => { setSelectedDocId(doc.id); setCollection(doc.collection) }} className="w-full text-left">
+                    <p className="truncate font-medium text-foreground">{doc.filename}</p>
+                    <p className="text-foreground-faint">{doc.collection} · {doc.chunks} chunks · {new Date(doc.ingested_at).toLocaleDateString()}</p>
+                  </button>
+                  <div className="mt-1 flex gap-1">
+                    <button
+                      type="button"
+                      disabled={summarizing}
+                      onClick={() => onSummarize(doc)}
+                      className={cn('flex flex-1 items-center justify-center gap-0.5 rounded px-1 py-0.5', subTabIdle)}
+                    >
+                      {summarizing && selectedDocId === doc.id ? <Loader2 className="h-2.5 w-2.5 animate-spin" /> : <FileText className="h-2.5 w-2.5" />}
+                      Summarize
+                    </button>
+                    <button
+                      type="button"
+                      disabled={reindexing === doc.id}
+                      onClick={() => onReindex(doc)}
+                      className={cn('flex flex-1 items-center justify-center gap-0.5 rounded px-1 py-0.5', subTabIdle)}
+                      title="Re-parse with clean text (fixes corrupted PDF index)"
+                    >
+                      {reindexing === doc.id ? <Loader2 className="h-2.5 w-2.5 animate-spin" /> : <RotateCcw className="h-2.5 w-2.5" />}
+                      Re-index
+                    </button>
+                  </div>
+                </div>
+              ))
+            )}
+          </div>
+
+          <div className="mt-4 space-y-1 text-[9px] text-foreground-faint">
+            <p><BookOpen className="mr-1 inline h-3 w-3" />Embed: {health?.embed_model || 'all-MiniLM-L6-v2'}</p>
+            <a href={doclingUiUrl} target="_blank" rel="noreferrer" className="text-docker hover:underline">Docling UI (port 5001) ↗</a>
+          </div>
+        </aside>
+
+        <div className="flex min-h-0 flex-1 flex-col">
+          <div className="scrollbar-thin flex-1 overflow-y-auto p-4">
+            {messages.length === 0 && (
+              <div className="flex h-full flex-col items-center justify-center gap-2 text-center text-sm text-foreground-muted">
+                <MessageSquare className="h-10 w-10 opacity-30" />
+                <p>Upload once — documents stay in ChromaDB. Ask anytime without re-uploading.</p>
+                <p className="text-[11px]">Example: &quot;What maturity gaps exist in the customer dataset?&quot;</p>
+              </div>
+            )}
+            {messages.map((m, i) => (
+              <div key={i} className={cn('mb-3 max-w-[90%] rounded-lg px-3 py-2 text-[12px]', m.role === 'user' ? 'ml-auto bg-docker/20 text-foreground' : 'bg-surface-overlay text-foreground-muted')}>
+                <p className="whitespace-pre-wrap leading-relaxed">{m.content}</p>
+                {m.sources && m.sources.length > 0 && (
+                  <div className="mt-2 border-t border-border pt-2">
+                    <p className="mb-1 text-[9px] font-semibold uppercase text-foreground-faint">Sources</p>
+                    {m.sources.map((s, j) => (
+                      <p key={j} className="text-[9px] text-foreground-faint">
+                        {s.source} · chunk {s.chunk}: {s.preview?.slice(0, 120)}…
+                      </p>
+                    ))}
+                  </div>
+                )}
+              </div>
+            ))}
+            {loading && (
+              <div className="flex items-center gap-2 text-[11px] text-foreground-muted">
+                <Loader2 className="h-4 w-4 animate-spin text-docker" /> Retrieving context & generating answer…
+              </div>
+            )}
+            {error && <p className="text-[11px] text-danger">{error}</p>}
+            <div ref={bottomRef} />
+          </div>
+
+          <div className="flex shrink-0 gap-2 border-t border-border p-3">
+            <input
+              value={input}
+              onChange={(e) => setInput(e.target.value)}
+              onKeyDown={(e) => e.key === 'Enter' && !e.shiftKey && (e.preventDefault(), onSend())}
+              placeholder="Ask a question about your ingested data…"
+              className="min-w-0 flex-1 rounded-lg border border-border bg-surface-overlay px-3 py-2 text-[12px]"
+              disabled={loading}
+            />
+            <button type="button" onClick={onSend} disabled={loading || !input.trim()} className={cn('rounded-lg px-3 py-2', subTabActive, 'disabled:opacity-40')}>
+              <Send className="h-4 w-4" />
+            </button>
+          </div>
+        </div>
+      </div>
+    </div>
+  )
+}
+
+function StatusPill({ ok, label }: { ok: boolean; label: string }) {
+  return (
+    <span className={cn('rounded-full px-2 py-0.5 font-medium', ok ? 'bg-success/20 text-success' : 'bg-danger/20 text-danger')}>
+      {label} {ok ? '●' : '○'}
+    </span>
+  )
+}

ui/src/components/features/PlatformTopology.tsx

@@ -0,0 +1,393 @@
+import { useEffect, useMemo, useState } from 'react'
+import { Box } from 'lucide-react'
+import type { AgentAnim, WorkloadData } from '../../types'
+import { Badge } from '../ui/Badge'
+import { cn } from '../../lib/utils'
+
+/* ── Pipeline model ─────────────────────────────────────────────── */
+
+type TopoNode = { id: string; label: string; sub: string; metricKey: string }
+
+type TopoStage = {
+  id: string
+  num: number
+  title: string
+  subtitle: string
+  accent: string
+  nodes: TopoNode[]
+}
+
+type FlowKind = 'orchestration' | 'cdc' | 'stream' | 'etl' | 'query' | 'serve'
+
+type FlowEdge = {
+  from: string
+  to: string
+  kind: FlowKind
+  label: string
+}
+
+const STAGES: TopoStage[] = [
+  {
+    id: 'sources', num: 1, title: 'SOURCES', subtitle: 'Operational databases', accent: 'topo-stage-col--sources',
+    nodes: [
+      { id: 'postgresql', label: 'PostgreSQL', sub: 'OLTP · primary', metricKey: 'postgresql' },
+      { id: 'mysql', label: 'MySQL', sub: 'Replica set', metricKey: 'mysql' },
+      { id: 'mongodb', label: 'MongoDB', sub: 'Document store', metricKey: 'mongodb' },
+      { id: 'cassandra', label: 'Cassandra', sub: 'Wide-column', metricKey: 'cassandra' },
+    ],
+  },
+  {
+    id: 'ingestion', num: 2, title: 'INGESTION & STREAMING', subtitle: 'CDC · event bus · orchestration', accent: 'topo-stage-col--ingestion',
+    nodes: [
+      { id: 'debezium', label: 'Debezium', sub: 'CDC connectors', metricKey: 'debezium' },
+      { id: 'kafka', label: 'Apache Kafka', sub: 'Event bus', metricKey: 'kafka' },
+      { id: 'airflow', label: 'Apache Airflow', sub: 'Daily Python DAGs · source sync', metricKey: 'airflow' },
+    ],
+  },
+  {
+    id: 'compute', num: 3, title: 'COMPUTE', subtitle: 'Processing & query', accent: 'topo-stage-col--compute',
+    nodes: [
+      { id: 'spark', label: 'Apache Spark', sub: 'Batch / micro-batch', metricKey: 'spark' },
+      { id: 'trino', label: 'Trino', sub: 'Distributed SQL', metricKey: 'trino' },
+    ],
+  },
+  {
+    id: 'storage', num: 4, title: 'STORAGE', subtitle: 'Lakehouse layer', accent: 'topo-stage-col--storage',
+    nodes: [
+      { id: 'iceberg', label: 'Iceberg Tables', sub: 'Open table format', metricKey: 'iceberg' },
+      { id: 's3', label: 'Dell ECS S3', sub: 'Object scale', metricKey: 's3' },
+    ],
+  },
+  {
+    id: 'consumers', num: 5, title: 'CONSUMERS', subtitle: 'Analytics & AI', accent: 'topo-stage-col--consumers',
+    nodes: [
+      { id: 'bi', label: 'BI / Reporting', sub: 'Dashboards', metricKey: 'bi' },
+      { id: 'jupyter', label: 'Jupyter Notebooks', sub: 'Data science', metricKey: 'jupyter' },
+      { id: 'llm', label: 'GenAI LLM', sub: 'vLLM inference', metricKey: 'llm' },
+    ],
+  },
+]
+
+/** Full data-foundation flows — Airflow daily Python generation + CDC stream + lakehouse */
+const FLOW_EDGES: FlowEdge[] = [
+  // Airflow orchestrates daily Python jobs on every source
+  { from: 'airflow', to: 'postgresql', kind: 'orchestration', label: 'Daily Python gen' },
+  { from: 'airflow', to: 'mysql', kind: 'orchestration', label: 'Daily Python gen' },
+  { from: 'airflow', to: 'mongodb', kind: 'orchestration', label: 'Daily Python gen' },
+  { from: 'airflow', to: 'cassandra', kind: 'orchestration', label: 'Daily Python gen' },
+  // CDC capture from sources
+  { from: 'postgresql', to: 'debezium', kind: 'cdc', label: 'CDC' },
+  { from: 'mysql', to: 'debezium', kind: 'cdc', label: 'CDC' },
+  { from: 'mongodb', to: 'debezium', kind: 'cdc', label: 'CDC' },
+  { from: 'cassandra', to: 'debezium', kind: 'cdc', label: 'CDC' },
+  // Streaming bus
+  { from: 'debezium', to: 'kafka', kind: 'stream', label: 'Events' },
+  { from: 'airflow', to: 'kafka', kind: 'orchestration', label: 'DAG trigger' },
+  // ETL compute
+  { from: 'kafka', to: 'spark', kind: 'etl', label: 'Micro-batch' },
+  { from: 'airflow', to: 'spark', kind: 'orchestration', label: 'Pipeline DAG' },
+  { from: 'spark', to: 'iceberg', kind: 'etl', label: 'Lake write' },
+  { from: 'spark', to: 's3', kind: 'etl', label: 'Object export' },
+  // Query & serve
+  { from: 'iceberg', to: 'trino', kind: 'query', label: 'SQL' },
+  { from: 'trino', to: 'bi', kind: 'serve', label: 'Reports' },
+  { from: 'iceberg', to: 'jupyter', kind: 'serve', label: 'Notebooks' },
+  { from: 's3', to: 'jupyter', kind: 'serve', label: 'Datasets' },
+  { from: 'trino', to: 'llm', kind: 'serve', label: 'RAG context' },
+  { from: 's3', to: 'llm', kind: 'serve', label: 'Model artifacts' },
+]
+
+const STAGE_BADGE: Record<string, string> = {
+  sources: 'border-emerald-400/50 bg-emerald-500/20 text-emerald-300',
+  ingestion: 'border-cyan-400/50 bg-cyan-500/20 text-cyan-300',
+  compute: 'border-violet-400/50 bg-violet-500/20 text-violet-300',
+  storage: 'border-blue-400/50 bg-blue-500/20 text-blue-300',
+  consumers: 'border-amber-400/50 bg-amber-500/20 text-amber-300',
+}
+
+const FLOW_LEGEND: { kind: FlowKind; label: string; color: string }[] = [
+  { kind: 'orchestration', label: 'Airflow orchestration', color: '#f59e0b' },
+  { kind: 'cdc', label: 'CDC capture', color: '#22d3ee' },
+  { kind: 'stream', label: 'Event stream', color: '#38bdf8' },
+  { kind: 'etl', label: 'ETL / compute', color: '#a78bfa' },
+  { kind: 'query', label: 'SQL query', color: '#818cf8' },
+  { kind: 'serve', label: 'Consumption', color: '#34d399' },
+]
+
+const EDGE_CLASS: Record<FlowKind, string> = {
+  orchestration: 'topo-edge-orchestration',
+  cdc: 'topo-edge-cdc',
+  stream: 'topo-edge-stream',
+  etl: 'topo-edge-etl',
+  query: 'topo-edge-query',
+  serve: 'topo-edge-serve',
+}
+
+const PARTICLE_FILL: Record<FlowKind, string> = {
+  orchestration: '#fbbf24',
+  cdc: '#22d3ee',
+  stream: '#38bdf8',
+  etl: '#c4b5fd',
+  query: '#818cf8',
+  serve: '#34d399',
+}
+
+const NODE_CLICK_MAP: Record<string, string> = {
+  postgresql: 'src-postgres', mysql: 'src-mysql', mongodb: 'src-mongo', cassandra: 'src-cassandra',
+  debezium: 'cdc-postgres', kafka: 'stream-kafka', airflow: 'src-airflow', spark: 'stream-spark',
+  trino: 'query-trino', iceberg: 'lake-iceberg', s3: 'lake-s3', bi: 'cons-bi',
+  jupyter: 'cons-notebooks', llm: 'cons-ml',
+}
+
+const NODE_POS: Record<string, { col: number; row: number; rows: number }> = {}
+STAGES.forEach((stage, col) => {
+  stage.nodes.forEach((node, row) => {
+    NODE_POS[node.id] = { col, row, rows: stage.nodes.length }
+  })
+})
+
+function nodeCoords(col: number, row: number, rows: number) {
+  const colW = 100 / 5
+  const yPad = 8
+  const ySpan = 84
+  const y = yPad + ((row + 0.5) / rows) * ySpan
+  return {
+    inX: col * colW + colW * 0.08,
+    outX: col * colW + colW * 0.92,
+    y,
+  }
+}
+
+/** Curved path — arcs upward for backward (orchestration) flows */
+function flowPath(x1: number, y1: number, x2: number, y2: number, backward = false) {
+  if (backward || x2 < x1 - 2) {
+    const arcY = Math.min(y1, y2) - 14
+    return `M ${x1} ${y1} C ${x1} ${arcY}, ${x2} ${arcY}, ${x2} ${y2}`
+  }
+  const mx = (x1 + x2) / 2
+  return `M ${x1} ${y1} C ${mx} ${y1}, ${mx} ${y2}, ${x2} ${y2}`
+}
+
+type MetricState = Record<string, string>
+
+function seedMetrics(): MetricState {
+  return {
+    postgresql: '12.4k rows/s', mysql: '8.1k rows/s', mongodb: '2.3k docs/s', cassandra: '5.6k ops/s',
+    debezium: '4 connectors active', kafka: '142 MB/s', airflow: '18 DAGs · daily 02:00 UTC',
+    spark: '6 executors live', trino: '3 queries active', iceberg: '847 tables · 2.1 TB', s3: '14.2 TB stored',
+    bi: '26 dashboards', jupyter: '12 kernels active', llm: 'Checking…',
+  }
+}
+
+function formatLlmLabel(model?: string | null): string {
+  if (!model) return 'GenAI LLM'
+  return model.replace(/\s*GPTQ$/i, '').replace(/\s*AWQ$/i, '').trim()
+}
+
+function formatLlmMetric(workload: WorkloadData | null): string {
+  const gpu = workload?.gpu
+  if (!gpu?.model) return 'Connecting…'
+  if (!gpu.inference_active) return 'Offline'
+  const gpus = gpu.gpus || []
+  const util = gpu.avg_util ?? (gpus.length ? gpus.reduce((s, g) => s + g.util_gpu, 0) / gpus.length : 0)
+  const vram = gpus.length
+    ? gpus.reduce((s, g) => s + (g.memory_used_mib / Math.max(g.memory_total_mib, 1)) * 100, 0) / gpus.length
+    : 0
+  if (util >= 1) return `${util.toFixed(0)}% GPU · live`
+  if (vram >= 50) return `Loaded · ${vram.toFixed(0)}% VRAM`
+  return 'Inference active'
+}
+
+function jitterMetric(key: string, current: string, workload: WorkloadData | null): string {
+  if (key === 'llm') return formatLlmMetric(workload)
+  const n = () => (Math.random() - 0.5) * 2
+  const fns: Record<string, () => string> = {
+    postgresql: () => `${(12.4 + n() * 0.8).toFixed(1)}k rows/s`,
+    mysql: () => `${(8.1 + n() * 0.6).toFixed(1)}k rows/s`,
+    mongodb: () => `${(2.3 + n() * 0.3).toFixed(1)}k docs/s`,
+    cassandra: () => `${(5.6 + n() * 0.5).toFixed(1)}k ops/s`,
+    debezium: () => `${Math.max(3, Math.round(4 + n()))} connectors active`,
+    kafka: () => `${Math.max(80, Math.round(142 + n() * 18))} MB/s`,
+    airflow: () => `${Math.max(12, Math.round(18 + n() * 2))} DAGs · daily 02:00 UTC`,
+    spark: () => `${Math.max(4, Math.round(6 + n()))} executors live`,
+    trino: () => `${Math.max(1, Math.round(3 + n()))} queries active`,
+    iceberg: () => `${Math.round(847 + n() * 5)} tables · ${(2.1 + n() * 0.05).toFixed(1)} TB`,
+    s3: () => `${(14.2 + n() * 0.08).toFixed(1)} TB stored`,
+    bi: () => `${Math.max(20, Math.round(26 + n() * 2))} dashboards`,
+    jupyter: () => `${Math.max(8, Math.round(12 + n() * 2))} kernels active`,
+  }
+  return fns[key]?.() ?? current
+}
+
+type Props = {
+  workload: WorkloadData | null
+  animations: Record<string, AgentAnim>
+  selectedNodeId: string | null
+  onNodeClick: (nodeId: string) => void
+}
+
+export function PlatformTopology({ workload, animations, selectedNodeId, onNodeClick }: Props) {
+  const [metrics, setMetrics] = useState<MetricState>(seedMetrics)
+
+  const llmLabel = formatLlmLabel(workload?.gpu?.model)
+
+  const pipelineActive = workload?.totals?.pipeline_active ?? true
+  const anyBusy = useMemo(
+    () => Object.values(animations).some((a) => a.state !== 'idle'),
+    [animations],
+  )
+
+  const edgesLive = pipelineActive || anyBusy
+
+  useEffect(() => {
+    setMetrics((prev) => ({ ...prev, llm: formatLlmMetric(workload) }))
+  }, [workload?.gpu?.model, workload?.gpu?.inference_active, workload?.gpu?.avg_util, workload?.gpu?.gpus])
+
+  useEffect(() => {
+    const iv = setInterval(() => {
+      setMetrics((prev) => {
+        const next = { ...prev }
+        for (const k of Object.keys(next)) next[k] = jitterMetric(k, prev[k], workload)
+        return next
+      })
+    }, 2200)
+    return () => clearInterval(iv)
+  }, [workload])
+
+  const resolvedSel = selectedNodeId
+    ? Object.entries(NODE_CLICK_MAP).find(([, v]) => v === selectedNodeId)?.[0] ?? null
+    : null
+
+  return (
+    <section className="panel flex h-full min-h-0 flex-1 flex-col overflow-hidden">
+      <header
+        className="flex shrink-0 flex-col gap-1 border-b border-border px-3 py-1.5"
+        style={{ background: 'var(--topo-header-bg)' }}
+      >
+        <div className="flex items-center justify-between gap-2">
+          <div className="flex min-w-0 items-center gap-2">
+            <span className="flex h-6 w-6 shrink-0 items-center justify-center rounded-md bg-docker text-white shadow-docker">
+              <Box className="h-3 w-3" />
+            </span>
+            <div className="min-w-0">
+              <h2 className="truncate text-xs font-semibold text-foreground">Data Platform Topology</h2>
+              <p className="truncate text-[9px] text-foreground-muted">
+                Airflow daily Python → CDC → stream → lakehouse → consumers
+              </p>
+            </div>
+          </div>
+          <div className="flex shrink-0 flex-wrap justify-end gap-1">
+            <Badge variant={pipelineActive ? 'success' : 'warning'}>
+              {pipelineActive ? 'Pipeline active' : 'Degraded'}
+            </Badge>
+            <Badge>{workload?.totals?.connectors ?? 4} CDC</Badge>
+            <Badge variant="accent">{FLOW_EDGES.length} flows</Badge>
+          </div>
+        </div>
+        <div className="flex flex-wrap gap-x-2 gap-y-0.5">
+          {FLOW_LEGEND.map((item) => (
+            <span key={item.kind} className="inline-flex items-center gap-1 text-[8px] text-foreground-muted">
+              <span className="h-1.5 w-1.5 rounded-full" style={{ background: item.color }} />
+              {item.label}
+            </span>
+          ))}
+        </div>
+      </header>
+
+      <div className="topo-canvas flex min-h-0 flex-1">
+        <svg
+          className="pointer-events-none absolute inset-0 z-0 h-full w-full"
+          viewBox="0 0 100 100"
+          preserveAspectRatio="none"
+          aria-hidden
+        >
+          <defs>
+            <linearGradient id="topo-flow-gradient" x1="0%" y1="0%" x2="100%" y2="0%">
+              <stop offset="0%" stopColor="#22d3ee" stopOpacity="0.7" />
+              <stop offset="50%" stopColor="#34d399" stopOpacity="1" />
+              <stop offset="100%" stopColor="#60a5fa" stopOpacity="0.7" />
+            </linearGradient>
+          </defs>
+          {FLOW_EDGES.map((edge, i) => {
+            const pa = NODE_POS[edge.from]
+            const pb = NODE_POS[edge.to]
+            if (!pa || !pb) return null
+            const a = nodeCoords(pa.col, pa.row, pa.rows)
+            const b = nodeCoords(pb.col, pb.row, pb.rows)
+            const backward = edge.kind === 'orchestration' && pb.col < pa.col
+            const fromX = backward ? a.inX + (a.outX - a.inX) * 0.15 : a.outX
+            const toX = backward ? b.outX - (b.outX - b.inX) * 0.15 : b.inX
+            const d = flowPath(fromX, a.y, toX, b.y, backward)
+            const live = edgesLive
+            const dur = 1.8 + (i % 5) * 0.35
+            return (
+              <g key={`${edge.from}-${edge.to}-${edge.kind}`}>
+                <path d={d} className="topo-edge-glow" vectorEffect="non-scaling-stroke" />
+                <path
+                  d={d}
+                  className={cn(EDGE_CLASS[edge.kind], live ? 'topo-edge-live' : 'topo-edge-idle')}
+                  vectorEffect="non-scaling-stroke"
+                />
+                {live && (
+                  <>
+                    <circle r="0.55" fill={PARTICLE_FILL[edge.kind]} opacity="0.95">
+                      <animateMotion dur={`${dur}s`} repeatCount="indefinite" path={d} />
+                    </circle>
+                    <circle r="0.35" fill="#ffffff" opacity="0.85">
+                      <animateMotion dur={`${dur}s`} repeatCount="indefinite" path={d} begin={`${dur * 0.45}s`} />
+                    </circle>
+                  </>
+                )}
+              </g>
+            )
+          })}
+        </svg>
+
+        <div className="relative z-10 flex h-full min-h-0 w-full overflow-x-auto">
+          {STAGES.map((stage) => (
+            <div key={stage.id} className={cn('topo-stage-col', stage.accent)}>
+              <header className="mb-1 shrink-0 border-b border-white/10 pb-1">
+                <div className="flex items-start gap-1">
+                  <span className={cn('rounded border px-1 py-px font-mono text-[8px] font-bold', STAGE_BADGE[stage.id])}>
+                    0{stage.num}
+                  </span>
+                  <div className="min-w-0">
+                    <h3 className="text-[8px] font-bold leading-tight tracking-wide text-white">{stage.title}</h3>
+                    <p className="text-[7px] text-blue-200/70">{stage.subtitle}</p>
+                  </div>
+                </div>
+              </header>
+              <div className="flex min-h-0 flex-1 flex-col justify-evenly gap-1">
+                {stage.nodes.map((node) => {
+                  const label = node.id === 'llm' ? llmLabel : node.label
+                  const sub = node.id === 'llm'
+                    ? (workload?.gpu?.inference_active ? 'vLLM · live' : 'vLLM inference')
+                    : node.sub
+                  return (
+                  <button
+                    key={node.id}
+                    type="button"
+                    onClick={() => onNodeClick(NODE_CLICK_MAP[node.id] || node.id)}
+                    className={cn(
+                      'topo-node',
+                      node.id === 'airflow' && 'topo-node-airflow',
+                      node.id === 'llm' && workload?.gpu?.inference_active && 'topo-node-airflow',
+                      resolvedSel === node.id && 'topo-node-selected',
+                    )}
+                  >
+                    <span className="block truncate text-[10px] font-semibold leading-tight text-white">{label}</span>
+                    <span className="block truncate text-[8px] text-blue-100/80">{sub}</span>
+                    <span className="mt-0.5 inline-block max-w-full truncate rounded border border-emerald-400/35 bg-emerald-500/20 px-1 py-px font-mono text-[7px] font-medium text-emerald-300">
+                      {metrics[node.metricKey]}
+                    </span>
+                  </button>
+                  )
+                })}
+              </div>
+            </div>
+          ))}
+        </div>
+      </div>
+    </section>
+  )
+}

ui/src/components/features/PresentationView.tsx

@@ -0,0 +1,218 @@
+import { useCallback, useEffect, useState } from 'react'
+import { ExternalLink, FileUp, Monitor, Upload } from 'lucide-react'
+import { ArchitectureDiagram } from './ArchitectureDiagram'
+import type { PresentationData, PresentationSlide } from '../../types'
+import { cn } from '../../lib/utils'
+import { subTabActive, subTabIdle } from '../../lib/tabActive'
+
+type DeckSource = 'live' | 'data-maturity' | 'atc-platform' | string
+
+const KIND_STYLES: Record<string, string> = {
+  hero: 'from-blue-600/25 via-violet-600/20 to-emerald-600/15',
+  narrative: 'from-slate-600/15 to-blue-600/15',
+  topology: 'from-cyan-600/20 to-blue-800/15',
+  zone: 'from-amber-600/15 to-orange-600/10',
+  gpu: 'from-emerald-600/20 to-green-800/15',
+  agents: 'from-fuchsia-600/15 to-pink-600/10',
+  cta: 'from-blue-600/15 to-violet-600/20',
+  upload: 'from-indigo-600/15 to-purple-600/10',
+  command: 'from-sky-600/15 to-blue-600/10',
+  architecture: 'from-teal-600/15 to-cyan-600/10',
+}
+
+async function fetchDeck(id: DeckSource): Promise<PresentationData | null> {
+  const ctrl = new AbortController()
+  const timeout = id === 'live' ? 45000 : 10000
+  const timer = setTimeout(() => ctrl.abort(), timeout)
+  try {
+    const url = id === 'live' ? '/api/presentation' : `/api/presentation/decks/${id}`
+    const r = await fetch(url, { signal: ctrl.signal })
+    if (!r.ok) return null
+    return (await r.json()) as PresentationData
+  } catch {
+    return null
+  } finally {
+    clearTimeout(timer)
+  }
+}
+
+export function PresentationView() {
+  const [source, setSource] = useState<DeckSource>('live')
+  const [data, setData] = useState<PresentationData | null>(null)
+  const [slideIdx, setSlideIdx] = useState(0)
+  const [loading, setLoading] = useState(true)
+  const [error, setError] = useState<string | null>(null)
+  const [uploading, setUploading] = useState(false)
+  const [uploadMsg, setUploadMsg] = useState<string | null>(null)
+  const [customDecks, setCustomDecks] = useState<{ id: string; title: string }[]>([])
+
+  const load = useCallback(async (deckId: DeckSource) => {
+    setLoading(true)
+    setError(null)
+    const d = await fetchDeck(deckId)
+    if (d && d.slides?.length) {
+      setData(d)
+      setSlideIdx(0)
+      setLoading(false)
+      return
+    }
+    if (deckId === 'live') {
+      const fallback = await fetchDeck('data-maturity')
+      if (fallback?.slides?.length) {
+        setData(fallback)
+        setSlideIdx(0)
+        setError('Live deck timeout — showing Data Maturity template. Click Refresh for live cluster data.')
+        setLoading(false)
+        return
+      }
+    }
+    setData(null)
+    setError('Could not load presentation.')
+    setLoading(false)
+  }, [])
+
+  useEffect(() => {
+    load(source)
+    fetch('/api/presentation/decks')
+      .then((r) => r.json())
+      .then((j) => {
+        const uploaded = (j.uploaded || []).map((d: { id: string; title: string }) => ({ id: d.id, title: d.title }))
+        setCustomDecks(uploaded)
+      })
+      .catch(() => {})
+  }, [source, load])
+
+  useEffect(() => {
+    const onKey = (e: KeyboardEvent) => {
+      const n = data?.slides.length || 1
+      if (e.key === 'ArrowRight' || e.key === ' ') { e.preventDefault(); setSlideIdx((i) => Math.min(n - 1, i + 1)) }
+      if (e.key === 'ArrowLeft') setSlideIdx((i) => Math.max(0, i - 1))
+      if (e.key === 'f' || e.key === 'F') document.documentElement.requestFullscreen?.()
+    }
+    window.addEventListener('keydown', onKey)
+    return () => window.removeEventListener('keydown', onKey)
+  }, [data?.slides.length])
+
+  const slides = data?.slides || []
+  const slide: PresentationSlide | undefined = slides[slideIdx]
+
+  const exportHtml = () => {
+    const id = source === 'live' ? 'live' : source
+    window.open(`/api/presentation/decks/${id}/html`, '_blank')
+  }
+
+  const onUpload = async (file: File) => {
+    setUploading(true)
+    setUploadMsg(null)
+    const fd = new FormData()
+    fd.append('file', file)
+    try {
+      const r = await fetch('/api/presentation/upload', { method: 'POST', body: fd })
+      const j = await r.json()
+      if (j.ok && j.deck) {
+        setCustomDecks((prev) => [{ id: j.deck.id, title: j.deck.title }, ...prev])
+        setSource(j.deck.id)
+        setUploadMsg(`✓ ${j.deck.slide_count} slides loaded from ${file.name}`)
+      } else {
+        setUploadMsg(j.error || 'Upload failed')
+      }
+    } catch {
+      setUploadMsg('Upload failed — check connection')
+    } finally {
+      setUploading(false)
+    }
+  }
+
+  const tabs: { id: DeckSource; label: string }[] = [
+    { id: 'live', label: 'Live Cluster' },
+    { id: 'stack-architecture', label: 'Stack Architecture' },
+    { id: 'data-maturity', label: 'Data Maturity' },
+    { id: 'atc-platform', label: 'ATC Platform' },
+    ...customDecks.map((d) => ({ id: d.id, label: d.title.slice(0, 18) })),
+  ]
+
+  return (
+    <div className="flex h-full min-h-[calc(100vh-140px)] flex-col overflow-hidden rounded-lg border border-border bg-surface-raised">
+      <div className="flex shrink-0 flex-wrap items-center justify-between gap-2 border-b border-border bg-surface-raised/90 px-3 py-2">
+        <div>
+          <h2 className="text-[11px] font-semibold uppercase tracking-wider text-foreground">Presentation</h2>
+          <p className="text-[9px] text-foreground-muted">
+            Live cluster · HTML templates · PPT upload (converts via python-pptx + Docling)
+          </p>
+        </div>
+        <div className="flex flex-wrap gap-1">
+          <a href="/dq/" target="_blank" rel="noreferrer" className={cn('inline-flex items-center gap-1 rounded-md px-2 py-1 text-[9px]', subTabIdle)}>
+            <Monitor className="h-3 w-3" /> DQ Portal
+          </a>
+          <a href="/docling/ui/" target="_blank" rel="noreferrer" className="inline-flex items-center gap-1 rounded border border-border px-2 py-0.5 text-[9px] hover:bg-surface-overlay">
+            <ExternalLink className="h-3 w-3" /> Docling
+          </a>
+          <button type="button" onClick={() => load(source)} className="rounded border border-border px-2 py-0.5 text-[9px] hover:bg-surface-overlay">Refresh</button>
+          <button type="button" onClick={exportHtml} className={cn('rounded-md px-2 py-1 text-[9px]', subTabActive)}>Export HTML</button>
+        </div>
+      </div>
+
+      <div className="flex shrink-0 flex-wrap gap-1 border-b border-border bg-surface-overlay/40 px-2 py-1.5">
+        {tabs.map((t) => (
+          <button
+            key={t.id}
+            type="button"
+            onClick={() => setSource(t.id)}
+            className={cn(
+              'rounded-md px-2.5 py-1.5 text-[10px] font-medium transition-all',
+              source === t.id ? subTabActive : subTabIdle,
+            )}
+          >
+            {t.label}
+          </button>
+        ))}
+        <label className={cn('ml-auto inline-flex cursor-pointer items-center gap-1 rounded-md border border-dashed border-border px-2 py-1 text-[10px]', uploading && 'opacity-50')}>
+          <Upload className="h-3 w-3" />
+          {uploading ? 'Uploading…' : 'PPT upload'}
+          <input type="file" accept=".ppt,.pptx,.pdf,.docx" className="hidden" disabled={uploading} onChange={(e) => e.target.files?.[0] && onUpload(e.target.files[0])} />
+        </label>
+      </div>
+
+      {uploadMsg && <p className="shrink-0 px-3 py-1 text-[10px] text-docker">{uploadMsg}</p>}
+      {error && <p className="shrink-0 px-3 py-1 text-[10px] text-warning">{error}</p>}
+
+      {loading ? (
+        <div className="flex flex-1 flex-col items-center justify-center gap-2 text-sm text-foreground-muted">
+          <FileUp className="h-8 w-8 animate-pulse opacity-40" />
+          <p>Loading presentation{source === 'live' ? ' (live cluster snapshot, ~15 sec)' : '…'}</p>
+        </div>
+      ) : !slide ? (
+        <div className="flex flex-1 items-center justify-center text-sm text-foreground-muted">
+          <button type="button" onClick={() => load(source)} className="rounded border border-border px-3 py-1 text-xs">Retry</button>
+        </div>
+      ) : (
+        <>
+          <div className={cn('relative flex min-h-0 flex-1 flex-col justify-center bg-gradient-to-br p-6 md:p-10', KIND_STYLES[slide.kind || 'narrative'] || KIND_STYLES.narrative)}>
+            <div className="max-w-4xl">
+              <p className="mb-1 text-[10px] font-medium uppercase tracking-widest text-docker/80">{slide.kind || 'slide'} · {slideIdx + 1}/{slides.length}</p>
+              <h1 className="mb-2 text-2xl font-bold tracking-tight text-foreground md:text-4xl">{slide.title}</h1>
+              {slide.subtitle && <p className="mb-4 text-sm text-foreground-muted md:text-base">{slide.subtitle}</p>}
+              {'animation' in slide && slide.animation && (
+                <ArchitectureDiagram animation={String(slide.animation)} />
+              )}
+              <ul className="space-y-2 text-sm leading-relaxed text-foreground md:text-base">
+                {(slide.bullets || []).map((b: string) => (
+                  <li key={b} className="flex gap-2"><span className="shrink-0 text-docker">▸</span><span>{b}</span></li>
+                ))}
+              </ul>
+            </div>
+          </div>
+          <div className="flex shrink-0 items-center gap-2 border-t border-border bg-surface-raised/90 px-3 py-2">
+            <button type="button" disabled={slideIdx === 0} onClick={() => setSlideIdx((i) => Math.max(0, i - 1))} className="rounded border border-border px-2 py-1 text-[10px] disabled:opacity-40">← Prev</button>
+            <div className="flex flex-1 flex-wrap justify-center gap-1">
+              {slides.map((_: PresentationSlide, i: number) => (
+                <button key={i} type="button" onClick={() => setSlideIdx(i)} className={cn('h-2 w-2 rounded-full', i === slideIdx ? 'scale-125 bg-docker' : 'bg-border')} />
+              ))}
+            </div>
+            <button type="button" disabled={slideIdx >= slides.length - 1} onClick={() => setSlideIdx((i) => Math.min(slides.length - 1, i + 1))} className="rounded border border-border px-2 py-1 text-[10px] disabled:opacity-40">Next →</button>
+          </div>
+        </>
+      )}
+    </div>
+  )
+}

ui/src/components/features/StorageView.tsx

@@ -0,0 +1,197 @@
+import { useCallback, useEffect, useState } from 'react'
+import { ChevronRight, Database, Download, ExternalLink, Folder, HardDrive, Loader2, RefreshCw } from 'lucide-react'
+import { cn } from '../../lib/utils'
+import { subTabActive, subTabIdle } from '../../lib/tabActive'
+
+type Bucket = { name: string; created?: string; has_objects?: boolean }
+type S3Item = { type: string; name?: string; prefix?: string; key?: string; size_human?: string; modified?: string }
+
+export function StorageView() {
+  const [health, setHealth] = useState<{ ok: boolean; endpoint?: string; bucket_names?: string[]; error?: string } | null>(null)
+  const [buckets, setBuckets] = useState<Bucket[]>([])
+  const [bucket, setBucket] = useState<string | null>(null)
+  const [prefix, setPrefix] = useState('')
+  const [folders, setFolders] = useState<S3Item[]>([])
+  const [objects, setObjects] = useState<S3Item[]>([])
+  const [loading, setLoading] = useState(false)
+  const [error, setError] = useState<string | null>(null)
+
+  const loadBuckets = useCallback(async () => {
+    setLoading(true)
+    setError(null)
+    try {
+      const [h, b] = await Promise.all([
+        fetch('/api/storage/s3/health'),
+        fetch('/api/storage/s3/buckets'),
+      ])
+      if (h.ok) setHealth(await h.json())
+      if (b.ok) {
+        const j = await b.json()
+        setBuckets(j.buckets || [])
+        if (!bucket && j.buckets?.length) setBucket(j.buckets[0].name)
+      } else {
+        setError('Failed to load buckets')
+      }
+    } catch {
+      setError('S3 API unavailable')
+    } finally {
+      setLoading(false)
+    }
+  }, [bucket])
+
+  const loadObjects = useCallback(async (b: string, p: string) => {
+    setLoading(true)
+    setError(null)
+    try {
+      const r = await fetch(`/api/storage/s3/buckets/${encodeURIComponent(b)}/objects?prefix=${encodeURIComponent(p)}`)
+      const j = await r.json()
+      if (!r.ok || !j.ok) {
+        setError(j.error || 'List failed')
+        return
+      }
+      setFolders(j.folders || [])
+      setObjects(j.objects || [])
+    } catch {
+      setError('Failed to list objects')
+    } finally {
+      setLoading(false)
+    }
+  }, [])
+
+  useEffect(() => {
+    loadBuckets()
+  }, [loadBuckets])
+
+  useEffect(() => {
+    if (bucket) loadObjects(bucket, prefix)
+  }, [bucket, prefix, loadObjects])
+
+  const crumbs = prefix ? prefix.split('/').filter(Boolean) : []
+
+  return (
+    <div className="panel flex h-full min-h-0 flex-1 flex-col overflow-hidden">
+      <header className="flex shrink-0 flex-wrap items-center justify-between gap-2 border-b border-border px-4 py-3">
+        <div>
+          <h2 className="flex items-center gap-2 text-sm font-semibold text-foreground">
+            <HardDrive className="h-4 w-4 text-docker" />
+            ObjectScale S3 Storage
+          </h2>
+          <p className="text-[10px] text-foreground-muted">
+            Dell ECS · {health?.endpoint || '10.0.20.111:9020'} · live bucket browser
+          </p>
+        </div>
+        <div className="flex flex-wrap gap-2">
+          <a href="/jupyter/" target="_blank" rel="noreferrer" className={cn('inline-flex items-center gap-1 rounded-md px-3 py-1.5 text-[11px] font-medium', subTabActive)}>
+            <ExternalLink className="h-3 w-3" /> Open Jupyter
+          </a>
+          <button type="button" onClick={() => { loadBuckets(); if (bucket) loadObjects(bucket, prefix) }} className={cn('rounded-md px-3 py-1.5 text-[11px]', subTabIdle)}>
+            <RefreshCw className={cn('inline h-3 w-3', loading && 'animate-spin')} /> Refresh
+          </button>
+        </div>
+      </header>
+
+      <div className="flex min-h-0 flex-1 flex-col lg:flex-row">
+        <aside className="shrink-0 border-b border-border p-3 lg:w-52 lg:border-b-0 lg:border-r">
+          <h3 className="mb-2 text-[10px] font-semibold uppercase tracking-wider text-foreground-faint">Buckets</h3>
+          <div className="space-y-1">
+            {buckets.map((b) => (
+              <button
+                key={b.name}
+                type="button"
+                onClick={() => { setBucket(b.name); setPrefix('') }}
+                className={cn(
+                  'flex w-full items-center gap-2 rounded border px-2 py-1.5 text-left text-[10px]',
+                  bucket === b.name ? 'border-docker/40 bg-docker/10' : 'border-border hover:bg-surface-overlay',
+                )}
+              >
+                <Database className="h-3 w-3 shrink-0 text-docker" />
+                <span className="truncate font-medium">{b.name}</span>
+              </button>
+            ))}
+            {buckets.length === 0 && !loading && (
+              <p className="text-[9px] text-foreground-faint">No buckets or access denied.</p>
+            )}
+          </div>
+        </aside>
+
+        <div className="flex min-h-0 flex-1 flex-col p-3">
+          {bucket && (
+            <nav className="mb-2 flex flex-wrap items-center gap-1 text-[10px] text-foreground-muted">
+              <button type="button" className="hover:text-docker" onClick={() => setPrefix('')}>{bucket}</button>
+              {crumbs.map((c, i) => (
+                <span key={i} className="inline-flex items-center gap-1">
+                  <ChevronRight className="h-3 w-3" />
+                  <button
+                    type="button"
+                    className="hover:text-docker"
+                    onClick={() => setPrefix(crumbs.slice(0, i + 1).join('/') + '/')}
+                  >
+                    {c}
+                  </button>
+                </span>
+              ))}
+            </nav>
+          )}
+
+          {loading && (
+            <p className="flex items-center gap-2 text-[11px] text-foreground-muted">
+              <Loader2 className="h-4 w-4 animate-spin" /> Loading…
+            </p>
+          )}
+          {error && <p className="mb-2 text-[11px] text-danger">{error}</p>}
+
+          <div className="scrollbar-thin min-h-0 flex-1 overflow-y-auto">
+            <table className="w-full text-left text-[11px]">
+              <thead>
+                <tr className="border-b border-border text-[9px] uppercase text-foreground-faint">
+                  <th className="py-1.5 pr-2">Name</th>
+                  <th className="py-1.5 pr-2">Size</th>
+                  <th className="py-1.5 pr-2">Modified</th>
+                  <th className="py-1.5" />
+                </tr>
+              </thead>
+              <tbody>
+                {folders.map((f) => (
+                  <tr key={f.prefix} className="border-b border-border/50 hover:bg-surface-overlay/50">
+                    <td className="py-1.5 pr-2">
+                      <button
+                        type="button"
+                        className="inline-flex items-center gap-1 font-medium text-docker hover:underline"
+                        onClick={() => setPrefix(f.prefix || '')}
+                      >
+                        <Folder className="h-3.5 w-3.5" /> {f.name}/
+                      </button>
+                    </td>
+                    <td className="py-1.5 pr-2 text-foreground-faint">—</td>
+                    <td className="py-1.5 pr-2 text-foreground-faint">—</td>
+                    <td />
+                  </tr>
+                ))}
+                {objects.map((o) => (
+                  <tr key={o.key} className="border-b border-border/50 hover:bg-surface-overlay/50">
+                    <td className="max-w-[240px] truncate py-1.5 pr-2 font-mono text-[10px]">{o.name || o.key}</td>
+                    <td className="py-1.5 pr-2 text-foreground-muted">{o.size_human}</td>
+                    <td className="py-1.5 pr-2 text-foreground-faint">{o.modified?.slice(0, 19) || '—'}</td>
+                    <td className="py-1.5">
+                      {o.key && bucket && (
+                        <a
+                          href={`/api/storage/s3/buckets/${encodeURIComponent(bucket)}/download?key=${encodeURIComponent(o.key)}`}
+                          className="inline-flex items-center gap-0.5 text-docker hover:underline"
+                        >
+                          <Download className="h-3 w-3" />
+                        </a>
+                      )}
+                    </td>
+                  </tr>
+                ))}
+              </tbody>
+            </table>
+            {!loading && folders.length === 0 && objects.length === 0 && bucket && (
+              <p className="py-8 text-center text-sm text-foreground-muted">This prefix is empty.</p>
+            )}
+          </div>
+        </div>
+      </div>
+    </div>
+  )
+}

ui/src/components/features/TerminalDock.tsx

@@ -0,0 +1,72 @@
+import { useEffect, useRef } from 'react'
+import { Terminal } from 'lucide-react'
+import type { TerminalLine } from '../../types'
+import { resolveInfraNode } from '../../lib/infraCatalog'
+import { cn } from '../../lib/utils'
+
+type Props = {
+  subjectId: string | null
+  subjectLabel: string
+  lines: TerminalLine[]
+  busy: boolean
+  expanded: boolean
+  onToggle: () => void
+}
+
+const LEVEL: Record<string, string> = {
+  info: 'text-foreground-muted',
+  ok: 'text-success',
+  warn: 'text-warning',
+  err: 'text-danger',
+  cmd: 'text-docker',
+  llm: 'text-violet-400',
+}
+
+export function TerminalDock({ subjectId, subjectLabel, lines, busy, expanded, onToggle }: Props) {
+  const bottomRef = useRef<HTMLDivElement>(null)
+  const infra = resolveInfraNode(subjectId)
+
+  useEffect(() => {
+    if (expanded) bottomRef.current?.scrollIntoView({ behavior: 'smooth' })
+  }, [lines, busy, expanded])
+
+  return (
+    <div className={cn('flex shrink-0 flex-col border-t border-border bg-black/80', expanded ? 'h-[200px]' : 'h-9')}>
+      <button
+        type="button"
+        onClick={onToggle}
+        className="flex shrink-0 items-center justify-between px-3 py-2 text-left hover:bg-white/5"
+      >
+        <span className="flex items-center gap-2 text-[10px] font-medium text-emerald-300">
+          <Terminal className="h-3.5 w-3.5" />
+          Terminal — {subjectLabel}
+          {busy && <span className="animate-pulse text-docker">● live</span>}
+        </span>
+        <span className="font-mono text-[8px] text-foreground-faint">{lines.length} lines · {expanded ? '▼' : '▲'}</span>
+      </button>
+
+      {expanded && (
+        <div className="scrollbar-thin min-h-0 flex-1 overflow-y-auto px-3 pb-2 font-mono text-[9px] leading-relaxed">
+          {infra && (
+            <p className="mb-1 text-foreground-faint">
+              <span className="text-docker">$</span> {infra.ssh} <span className="text-foreground-faint/70">(gekopieerd bij Shell-knop)</span>
+            </p>
+          )}
+          {lines.length === 0 && (
+            <p className="py-4 text-center text-foreground-faint">Selecteer een node of agent · klik Shell of Probe om output te zien</p>
+          )}
+          {lines.map((line) => (
+            <div key={line.id} className={LEVEL[line.level] || 'text-foreground-muted'}>
+              <span className="text-foreground-faint/60">
+                {line.ts ? new Date(line.ts).toLocaleTimeString('en-US', { hour12: false }) : ''}
+              </span>{' '}
+              <span className="text-docker/80">[{line.phase}]</span> {line.text}
+            </div>
+          ))}
+          {busy && <span className="text-docker animate-pulse">█</span>}
+          <div ref={bottomRef} />
+        </div>
+      )}
+    </div>
+  )
+}

ui/src/components/layout/SideNav.tsx

@@ -0,0 +1,162 @@
+import { DatabaseZap, HardDrive, LayoutDashboard, MessageSquare, Presentation, ShieldCheck } from 'lucide-react'
+import type { Agent, AgentAnim, GpuStatus } from '../../types'
+import type { GpuLiveMetrics } from '../../hooks/useLiveMetrics'
+import { getAgentMeta } from '../../lib/agentMeta'
+import { cn } from '../../lib/utils'
+import { viewTabActive, viewTabIdle } from '../../lib/tabActive'
+import { GpuMatrixPanel } from '../features/GpuMatrixPanel'
+
+type MainView = 'platform' | 'presentation' | 'dataquality' | 'knowledge' | 'storage' | 'approvals'
+
+type Props = {
+  agents: Agent[]
+  animations: Record<string, AgentAnim>
+  gpu: GpuStatus | null
+  gpuLive: GpuLiveMetrics
+  gpuBoost?: boolean
+  selectedAgentId: string | null
+  selectedNodeId: string | null
+  mainView: MainView
+  approvalCount: number
+  agentsLoading: boolean
+  onSetMainView: (view: MainView) => void
+  onOpenApprovals: () => void
+  onSelectAgent: (id: string) => void
+  onSelectZone: (id: string) => void
+}
+
+const VIEWS: { id: MainView; label: string; icon: typeof LayoutDashboard }[] = [
+  { id: 'platform', label: 'Data Platform', icon: LayoutDashboard },
+  { id: 'presentation', label: 'Presentation', icon: Presentation },
+  { id: 'dataquality', label: 'Data Quality', icon: DatabaseZap },
+  { id: 'knowledge', label: 'Knowledge Chat', icon: MessageSquare },
+  { id: 'storage', label: 'Object Storage', icon: HardDrive },
+]
+
+export function SideNav({
+  agents,
+  animations,
+  gpu,
+  gpuLive,
+  gpuBoost = false,
+  selectedAgentId,
+  selectedNodeId,
+  mainView,
+  approvalCount,
+  agentsLoading,
+  onSetMainView,
+  onOpenApprovals,
+  onSelectAgent,
+  onSelectZone,
+}: Props) {
+  const supervisors = agents.filter((a) => a.supervisor)
+  const operators = agents.filter((a) => !a.supervisor)
+  const matrixBoost = gpuBoost || mainView === 'knowledge'
+
+  return (
+    <nav className="flex w-[240px] shrink-0 flex-col border-r border-border bg-surface-raised">
+      <section className="border-b border-border p-3">
+        <h2 className="mb-2 text-[9px] font-semibold uppercase tracking-widest text-foreground-faint">Views</h2>
+        <div className="space-y-1">
+          {VIEWS.map(({ id, label, icon: Icon }) => (
+            <button
+              key={id}
+              type="button"
+              onClick={() => onSetMainView(id)}
+              className={cn(
+                'flex w-full items-center gap-2 rounded-md px-2.5 py-2 text-left transition-all',
+                mainView === id ? viewTabActive : viewTabIdle,
+              )}
+            >
+              <Icon className={cn('h-4 w-4', mainView === id ? 'text-docker' : 'text-foreground-muted')} />
+              <span className={cn('text-[11px] font-medium', mainView === id ? 'text-docker' : 'text-foreground')}>{label}</span>
+            </button>
+          ))}
+        </div>
+      </section>
+
+      <GpuMatrixPanel
+        gpu={gpu}
+        live={gpuLive}
+        boost={matrixBoost}
+        onSelectGpu={() => onSelectZone('gpu')}
+      />
+
+      <section className="flex min-h-0 flex-1 flex-col p-3">
+        <div className="mb-2 flex items-center justify-between gap-1">
+          <h2 className="text-[9px] font-semibold uppercase tracking-widest text-foreground-faint">Agents</h2>
+          <button
+            type="button"
+            onClick={onOpenApprovals}
+            className={cn(
+              'flex items-center gap-1 rounded-md border px-2 py-0.5 text-[9px] font-medium transition-colors',
+              approvalCount > 0
+                ? 'border-warning/40 bg-warning/10 text-warning'
+                : 'border-border text-foreground-muted hover:border-border-strong',
+            )}
+          >
+            <ShieldCheck className="h-3 w-3" />
+            Approvals
+            {approvalCount > 0 && <span className="font-mono">{approvalCount}</span>}
+          </button>
+        </div>
+        <div className="scrollbar-thin flex-1 space-y-1 overflow-y-auto">
+          {agentsLoading && agents.length === 0 && (
+            <p className="text-[9px] text-foreground-faint">Loading agents…</p>
+          )}
+          {supervisors.length > 0 && (
+            <p className="text-[8px] uppercase tracking-widest text-foreground-faint">Supervisors</p>
+          )}
+          {supervisors.map((a) => (
+            <AgentRow key={a.id} agent={a} animations={animations} selected={selectedAgentId === a.id} onSelect={onSelectAgent} />
+          ))}
+          {operators.length > 0 && (
+            <p className="mt-1 text-[8px] uppercase tracking-widest text-foreground-faint">Field operators</p>
+          )}
+          {operators.map((a) => (
+            <AgentRow key={a.id} agent={a} animations={animations} selected={selectedAgentId === a.id} onSelect={onSelectAgent} />
+          ))}
+        </div>
+      </section>
+    </nav>
+  )
+}
+
+function AgentRow({
+  agent,
+  animations,
+  selected,
+  onSelect,
+}: {
+  agent: Agent
+  animations: Record<string, AgentAnim>
+  selected: boolean
+  onSelect: (id: string) => void
+}) {
+  const meta = getAgentMeta(agent.id)
+  const Icon = meta.icon
+  const busy = (animations[agent.id]?.state || 'idle') !== 'idle'
+  return (
+    <button
+      type="button"
+      onClick={() => onSelect(agent.id)}
+      className={cn(
+        'flex w-full items-center gap-2 rounded-md border px-2 py-2 text-left transition-colors',
+        selected ? 'border-docker/40 bg-docker-light' : 'border-transparent hover:border-border hover:bg-surface-overlay',
+      )}
+      style={busy ? { boxShadow: `inset 3px 0 0 0 ${meta.accent}` } : undefined}
+    >
+      <span className="flex h-7 w-7 shrink-0 items-center justify-center rounded-md bg-surface-overlay" style={{ color: meta.accent }}>
+        <Icon className="h-3.5 w-3.5" />
+      </span>
+      <span className="min-w-0 flex-1">
+        <span className="block truncate text-[11px] font-medium text-foreground">{agent.name.split(' ·')[0]}</span>
+        <span className="block truncate font-mono text-[9px] text-foreground-faint">{meta.domain}</span>
+        <span className="block truncate text-[8px] text-foreground-faint">{agent.role}</span>
+      </span>
+      {(agent.stats?.tasks ?? 0) > 0 && (
+        <span className="rounded-full bg-docker px-1.5 font-mono text-[8px] text-foreground">{agent.stats?.tasks}</span>
+      )}
+    </button>
+  )
+}

ui/src/components/layout/ThemeToggle.tsx

@@ -0,0 +1,25 @@
+import { Moon, Sun } from 'lucide-react'
+import { useTheme } from '../../context/ThemeContext'
+import { cn } from '../../lib/utils'
+
+export function ThemeToggle() {
+  const { theme, toggle } = useTheme()
+  const isDark = theme === 'dark'
+
+  return (
+    <button
+      type="button"
+      onClick={toggle}
+      className={cn(
+        'flex h-8 items-center gap-1.5 rounded-lg border px-2.5 text-[10px] font-medium transition-colors',
+        isDark
+          ? 'border-blue-400/30 bg-blue-500/15 text-blue-200 hover:bg-blue-500/25'
+          : 'border-border bg-surface-overlay text-foreground-muted hover:bg-docker-light hover:text-docker',
+      )}
+      aria-label={isDark ? 'Switch to light mode' : 'Switch to dark mode'}
+    >
+      {isDark ? <Moon className="h-3.5 w-3.5" /> : <Sun className="h-3.5 w-3.5" />}
+      <span className="hidden sm:inline">{isDark ? 'Dark' : 'Light'}</span>
+    </button>
+  )
+}

ui/src/components/layout/TopBar.tsx

@@ -0,0 +1,65 @@
+import { Activity, Bot, Box, Clock, ShieldAlert } from 'lucide-react'
+import type { Agent, Approval, StatusData, WorkloadData } from '../../types'
+import { Badge } from '../ui/Badge'
+import { ThemeToggle } from './ThemeToggle'
+import { cn } from '../../lib/utils'
+
+type Props = {
+  clock: string
+  status: StatusData | null
+  workload: WorkloadData | null
+  agents: Agent[]
+  approvals: Approval[]
+  onApprovalsClick: () => void
+}
+
+export function TopBar({ clock, workload, agents, approvals, onApprovalsClick }: Props) {
+  const pipelineOk = workload?.totals?.pipeline_active ?? false
+  const running = workload?.totals?.apps_running ?? 0
+  const total = workload?.totals?.apps_total ?? 0
+  const activeAgents = agents.filter((a) => (a.stats?.tasks ?? 0) > 0).length
+
+  return (
+    <header className="flex h-12 shrink-0 items-center justify-between gap-3 border-b border-border bg-surface-raised/90 px-3 shadow-panel backdrop-blur-sm">
+      <div className="flex min-w-0 items-center gap-2.5">
+        <div className="flex h-8 w-8 items-center justify-center rounded-lg bg-gradient-to-br from-docker to-blue-600 shadow-docker">
+          <Box className="h-4 w-4 text-white" />
+        </div>
+        <div className="min-w-0">
+          <h1 className="truncate text-sm font-semibold text-foreground">Data & AI Command Center</h1>
+          <p className="text-[9px] text-foreground-muted">ATC Lab · Enterprise Operations</p>
+        </div>
+      </div>
+
+      <div className="hidden items-center gap-1.5 md:flex">
+        <Badge variant={pipelineOk ? 'success' : 'warning'}>
+          <Activity className="h-3 w-3" />
+          Pipeline {pipelineOk ? 'active' : 'degraded'}
+        </Badge>
+        <Badge>{running}/{total} containers</Badge>
+        <Badge variant="accent">
+          <Bot className="h-3 w-3" />
+          {activeAgents} agents
+        </Badge>
+        <button type="button" onClick={onApprovalsClick} className="focus:outline-none">
+          <Badge
+            variant={approvals.length ? 'warning' : 'default'}
+            className={cn(approvals.length && 'cursor-pointer hover:opacity-90')}
+          >
+            <ShieldAlert className="h-3 w-3" />
+            {approvals.length}
+          </Badge>
+        </button>
+      </div>
+
+      <div className="flex items-center gap-2">
+        <ThemeToggle />
+        <div className="flex items-center gap-1.5 font-mono text-[10px] text-foreground-muted">
+          <Clock className="h-3 w-3" />
+          {clock}
+          <span className="hidden text-success sm:inline">●</span>
+        </div>
+      </div>
+    </header>
+  )
+}

ui/src/components/ui/Badge.tsx

@@ -0,0 +1,25 @@
+import { cva, type VariantProps } from 'class-variance-authority'
+import type { HTMLAttributes } from 'react'
+import { cn } from '../../lib/utils'
+
+const badgeVariants = cva(
+  'inline-flex items-center gap-1 rounded-md border px-1.5 py-0.5 font-mono text-[10px] font-medium',
+  {
+    variants: {
+      variant: {
+        default: 'border-border bg-surface-overlay text-foreground-muted dark:bg-surface-overlay dark:text-foreground-muted',
+        accent: 'border-docker/30 bg-docker-light text-docker dark:border-blue-400/30 dark:bg-blue-500/15 dark:text-blue-200',
+        success: 'border-success/30 bg-green-50 text-green-700 dark:border-green-500/30 dark:bg-green-500/15 dark:text-green-300',
+        warning: 'border-warning/30 bg-amber-50 text-amber-700 dark:border-amber-500/30 dark:bg-amber-500/15 dark:text-amber-300',
+        danger: 'border-danger/30 bg-red-50 text-red-700 dark:border-red-500/30 dark:bg-red-500/15 dark:text-red-300',
+      },
+    },
+    defaultVariants: { variant: 'default' },
+  },
+)
+
+type Props = HTMLAttributes<HTMLSpanElement> & VariantProps<typeof badgeVariants>
+
+export function Badge({ className, variant, ...props }: Props) {
+  return <span className={cn(badgeVariants({ variant }), className)} {...props} />
+}

ui/src/components/ui/Button.tsx

@@ -0,0 +1,30 @@
+import { cva, type VariantProps } from 'class-variance-authority'
+import type { ButtonHTMLAttributes } from 'react'
+import { cn } from '../../lib/utils'
+
+const buttonVariants = cva(
+  'inline-flex items-center justify-center gap-1.5 rounded-md border font-medium transition-colors focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-docker/40 disabled:pointer-events-none disabled:opacity-50',
+  {
+    variants: {
+      variant: {
+        default: 'border-docker/30 bg-docker text-foreground hover:bg-docker-dark',
+        ghost: 'border-transparent text-foreground-muted hover:bg-surface-overlay hover:text-foreground',
+        outline: 'border-border bg-surface-raised text-foreground hover:bg-surface-overlay',
+        success: 'border-success/30 bg-green-600 text-foreground hover:bg-green-700',
+        danger: 'border-danger/30 bg-red-600 text-foreground hover:bg-red-700',
+      },
+      size: {
+        sm: 'h-7 px-2.5 text-xs',
+        md: 'h-8 px-3 text-sm',
+        icon: 'h-8 w-8',
+      },
+    },
+    defaultVariants: { variant: 'default', size: 'md' },
+  },
+)
+
+type Props = ButtonHTMLAttributes<HTMLButtonElement> & VariantProps<typeof buttonVariants>
+
+export function Button({ className, variant, size, ...props }: Props) {
+  return <button className={cn(buttonVariants({ variant, size }), className)} {...props} />
+}

ui/src/components/ui/Card.tsx

@@ -0,0 +1,26 @@
+import type { HTMLAttributes } from 'react'
+import { cn } from '../../lib/utils'
+
+type Props = HTMLAttributes<HTMLDivElement> & {
+  padding?: boolean
+}
+
+export function Card({ className, padding = true, children, ...props }: Props) {
+  return (
+    <div className={cn('panel', padding && 'p-3', className)} {...props}>
+      {children}
+    </div>
+  )
+}
+
+export function CardHeader({ className, ...props }: HTMLAttributes<HTMLDivElement>) {
+  return <div className={cn('mb-2 flex items-center justify-between gap-2', className)} {...props} />
+}
+
+export function CardTitle({ className, ...props }: HTMLAttributes<HTMLHeadingElement>) {
+  return <h3 className={cn('text-xs font-semibold tracking-tight text-foreground', className)} {...props} />
+}
+
+export function CardDescription({ className, ...props }: HTMLAttributes<HTMLParagraphElement>) {
+  return <p className={cn('text-[10px] text-foreground-muted', className)} {...props} />
+}

ui/src/components/ui/Input.tsx

@@ -0,0 +1,16 @@
+import type { InputHTMLAttributes } from 'react'
+import { cn } from '../../lib/utils'
+
+type Props = InputHTMLAttributes<HTMLInputElement>
+
+export function Input({ className, ...props }: Props) {
+  return (
+    <input
+      className={cn(
+        'h-8 w-full rounded-md border border-border bg-surface px-2.5 text-sm text-foreground placeholder:text-foreground-faint focus:border-docker/50 focus:outline-none focus:ring-1 focus:ring-docker/30',
+        className,
+      )}
+      {...props}
+    />
+  )
+}

ui/src/context/ThemeContext.tsx

@@ -0,0 +1,44 @@
+import { createContext, useContext, useEffect, useState, type ReactNode } from 'react'
+
+export type Theme = 'light' | 'dark'
+
+type ThemeContextValue = {
+  theme: Theme
+  toggle: () => void
+}
+
+const ThemeContext = createContext<ThemeContextValue | null>(null)
+const STORAGE_KEY = 'atc-command-center-theme'
+
+function readStored(): Theme {
+  const v = localStorage.getItem(STORAGE_KEY)
+  return v === 'dark' || v === 'light' ? v : 'light'
+}
+
+export function ThemeProvider({ children }: { children: ReactNode }) {
+  const [theme, setTheme] = useState<Theme>(() => {
+    if (typeof window === 'undefined') return 'light'
+    return readStored()
+  })
+
+  useEffect(() => {
+    const root = document.documentElement
+    root.classList.remove('light', 'dark')
+    root.classList.add(theme)
+    localStorage.setItem(STORAGE_KEY, theme)
+  }, [theme])
+
+  const toggle = () => setTheme((t) => (t === 'light' ? 'dark' : 'light'))
+
+  return (
+    <ThemeContext.Provider value={{ theme, toggle }}>
+      {children}
+    </ThemeContext.Provider>
+  )
+}
+
+export function useTheme() {
+  const ctx = useContext(ThemeContext)
+  if (!ctx) throw new Error('useTheme outside ThemeProvider')
+  return ctx
+}

ui/src/hooks/useClock.ts

@@ -0,0 +1,10 @@
+import { useEffect, useState } from 'react'
+
+export function useClock() {
+  const [now, setNow] = useState(new Date())
+  useEffect(() => {
+    const t = setInterval(() => setNow(new Date()), 1000)
+    return () => clearInterval(t)
+  }, [])
+  return now.toLocaleTimeString('en-US', { hour: '2-digit', minute: '2-digit', second: '2-digit', hour12: false })
+}

ui/src/hooks/useCommandCenter.ts

@@ -0,0 +1,331 @@
+import { useCallback, useEffect, useMemo, useRef, useState } from 'react'
+import {
+  askNode as apiAskNode,
+  decideApproval,
+  fetchAgents,
+  fetchApprovals,
+  fetchFeed,
+  fetchGpu,
+  fetchNodeDetail,
+  fetchStatus,
+  fetchTerminals,
+  fetchWorkload,
+  probeNode as apiProbeNode,
+  sendPrompt as apiSendPrompt,
+} from '../lib/api'
+import { AGENT_NODE, NODE_ALIASES, wsUrl } from '../lib/constants'
+import { resolveInfraNode } from '../lib/infraCatalog'
+import type {
+  Agent,
+  AgentAnim,
+  Approval,
+  ChatMessage,
+  FeedEntry,
+  GpuStatus,
+  NodeDetail,
+  StatusData,
+  TerminalLine,
+  TopologyNode,
+  WorkloadData,
+} from '../types'
+
+function resolveProbeId(nodeId: string) {
+  const aliased = NODE_ALIASES[nodeId] || nodeId
+  const infra = resolveInfraNode(nodeId) || resolveInfraNode(aliased)
+  return infra?.id || aliased
+}
+
+export function useCommandCenter() {
+  const [agents, setAgents] = useState<Agent[]>([])
+  const [agentsLoading, setAgentsLoading] = useState(true)
+  const [status, setStatus] = useState<StatusData | null>(null)
+  const [workload, setWorkload] = useState<WorkloadData | null>(null)
+  const [gpu, setGpu] = useState<GpuStatus | null>(null)
+  const [feed, setFeed] = useState<FeedEntry[]>([])
+  const [approvals, setApprovals] = useState<Approval[]>([])
+  const [chat, setChat] = useState<ChatMessage[]>([])
+  const [anims, setAnims] = useState<Record<string, AgentAnim>>({})
+  const [selectedAgentId, setSelectedAgentId] = useState<string | null>(null)
+  const [promptBusy, setPromptBusy] = useState(false)
+  const [terminals, setTerminals] = useState<Record<string, TerminalLine[]>>({})
+  const [selectedNodeId, setSelectedNodeId] = useState<string | null>(null)
+  const [selectedNode, setSelectedNode] = useState<TopologyNode | null>(null)
+  const [nodeDetail, setNodeDetail] = useState<NodeDetail | null>(null)
+  const [nodeBusy, setNodeBusy] = useState(false)
+  const [mainView, setMainView] = useState<'platform' | 'approvals' | 'presentation' | 'dataquality' | 'knowledge' | 'storage'>('platform')
+  const [approvalHighlight, setApprovalHighlight] = useState(false)
+  const [chatExpanded, setChatExpanded] = useState(false)
+  const promptTimeoutRef = useRef<ReturnType<typeof setTimeout> | null>(null)
+  const [terminalExpanded, setTerminalExpanded] = useState(true)
+
+  const appendTerminal = useCallback((line: TerminalLine) => {
+    setTerminals((prev) => {
+      const cur = prev[line.agent_id] || []
+      return { ...prev, [line.agent_id]: [...cur, line].slice(-300) }
+    })
+  }, [])
+
+  const selectedAgent = useMemo(
+    () => agents.find((a) => a.id === selectedAgentId) || null,
+    [agents, selectedAgentId],
+  )
+
+  const reloadFast = useCallback(async () => {
+    const [a, s, f, ap, g, t] = await Promise.all([
+      fetchAgents(),
+      fetchStatus(),
+      fetchFeed(),
+      fetchApprovals(),
+      fetchGpu(),
+      fetchTerminals(),
+    ])
+    setAgents(a)
+    setAgentsLoading(false)
+    setStatus(s)
+    setGpu(g || s?.gpu || null)
+    setFeed(f)
+    setApprovals(ap)
+    setTerminals(t)
+  }, [])
+
+  const reloadWorkload = useCallback(async () => {
+    const w = await fetchWorkload()
+    if (w?.zones) setWorkload(w)
+  }, [])
+
+  const reload = useCallback(async () => {
+    await reloadFast()
+    reloadWorkload()
+  }, [reloadFast, reloadWorkload])
+
+  useEffect(() => {
+    reloadFast().then(() => reloadWorkload())
+    const ws = new WebSocket(wsUrl())
+    ws.onmessage = (ev) => {
+      const msg = JSON.parse(ev.data)
+      if (msg.type === 'status') {
+        setStatus(msg.data)
+        if (msg.data.gpu) setGpu(msg.data.gpu)
+      }
+      if (msg.type === 'workload') setWorkload(msg.data)
+      if (msg.type === 'terminal') appendTerminal(msg.line)
+      if (msg.type === 'terminal_history' && msg.terminals) setTerminals(msg.terminals)
+      if (msg.type === 'feed') setFeed((prev) => [msg.entry, ...prev].slice(0, 100))
+      if (msg.type === 'agent_dispatch') {
+        setSelectedAgentId(msg.agent_id)
+        setAnims((p) => ({ ...p, [msg.agent_id]: { agentId: msg.agent_id, state: 'walk', zone: msg.zone } }))
+      }
+      if (msg.type === 'agent_fetch') {
+        setAnims((p) => ({ ...p, [msg.agent_id]: { agentId: msg.agent_id, state: 'fetch', zone: msg.zone } }))
+      }
+      if (msg.type === 'agent_return') {
+        setAnims((p) => ({ ...p, [msg.agent_id]: { agentId: msg.agent_id, state: 'return', zone: msg.zone } }))
+        setTimeout(() => {
+          setAnims((p) => ({ ...p, [msg.agent_id]: { agentId: msg.agent_id, state: 'idle' } }))
+        }, 1200)
+      }
+      if (msg.type === 'prompt_result') {
+        setChat((c) => [...c, { role: 'agent', text: msg.answer, agent: msg.agent_id, ts: new Date().toISOString() }])
+        setPromptBusy(false)
+        reloadFast()
+      }
+      if (msg.type === 'approval_new') {
+        setApprovals((prev) => {
+          if (prev.some((a) => a.id === msg.approval?.id)) return prev
+          return [msg.approval, ...prev]
+        })
+        if (msg.approval?.status === 'pending') setApprovalHighlight(true)
+      }
+      if (msg.type === 'approval_update' && msg.approval) {
+        setApprovals((prev) => prev.filter((a) => a.id !== msg.approval.id))
+      }
+      if (msg.type === 'node_ask_result') {
+        setNodeBusy(false)
+        if (msg.agent_id) setSelectedAgentId(msg.agent_id)
+      }
+    }
+    const iv = setInterval(reloadFast, 15000)
+    const wv = setInterval(reloadWorkload, 45000)
+    return () => { ws.close(); clearInterval(iv); clearInterval(wv) }
+  }, [reloadFast, reloadWorkload, appendTerminal])
+
+  const findNodeStub = useCallback((nodeId: string): TopologyNode | null => {
+    const resolved = NODE_ALIASES[nodeId] || nodeId
+    const allNodes = [
+      ...(workload?.topology?.nodes || []),
+      ...Object.values(workload?.topologies || {}).flatMap((v) => v.nodes),
+    ]
+    const wn = allNodes.find((n) => n.id === nodeId) || allNodes.find((n) => n.id === resolved)
+    if (wn) return wn
+
+    const infra = resolveInfraNode(nodeId) || resolveInfraNode(resolved)
+    if (infra) {
+      return {
+        id: infra.id,
+        label: infra.label,
+        vm: infra.vm,
+        ip: infra.ip,
+        x: 50,
+        y: 50,
+        color: infra.accent,
+        level: 'ok',
+        role: infra.description,
+        apps: infra.apps.map((a) => ({ name: a.label, state: 'link', image: a.url, ports: a.port ? [a.port] : [] })),
+        running: 1,
+        total: 1,
+      }
+    }
+
+    const agent = agents.find((a) => a.id === nodeId)
+    if (agent) {
+      return {
+        id: agent.id, label: agent.name, vm: 'agent', ip: '10.0.21.33',
+        x: 50, y: 50, color: agent.color, level: 'ok', role: agent.role, apps: [], running: 1, total: 1,
+        agent_id: agent.id,
+      }
+    }
+    const zone = workload?.zones.find((z) => z.id === nodeId || z.id === resolved)
+    if (zone) {
+      return {
+        id: nodeId, label: zone.label, vm: zone.vm || zone.id, ip: zone.ip || '',
+        x: 50, y: 50, color: zone.color, level: zone.level, role: 'zone', apps: zone.apps,
+        running: zone.running, total: zone.total,
+      }
+    }
+    return null
+  }, [workload, agents])
+
+  const probeNodeId = useCallback((nodeId: string) => {
+    setNodeBusy(true)
+    setTerminalExpanded(true)
+    apiProbeNode(resolveProbeId(nodeId)).finally(() => setNodeBusy(false))
+  }, [])
+
+  const openTerminal = useCallback((nodeId: string) => {
+    setTerminalExpanded(true)
+    setSelectedNodeId(nodeId)
+  }, [])
+
+  const selectNode = useCallback(async (nodeId: string) => {
+    const stub = findNodeStub(nodeId)
+    if (!stub) return
+    const probeId = resolveProbeId(nodeId)
+    setSelectedNodeId(probeId)
+    setSelectedNode({ ...stub, id: probeId })
+    setNodeDetail(null)
+    setTerminalExpanded(true)
+    const infra = resolveInfraNode(nodeId)
+    const linked = agents.find(
+      (a) => a.id === nodeId || AGENT_NODE[a.id] === probeId || a.id === infra?.agentId,
+    )
+    if (linked) setSelectedAgentId(linked.id)
+    try {
+      const detail = await fetchNodeDetail(probeId)
+      if (!detail.error) setNodeDetail(detail as NodeDetail)
+    } catch { /* ok */ }
+    probeNodeId(nodeId)
+  }, [findNodeStub, agents, probeNodeId])
+
+  const selectAgent = useCallback((id: string) => {
+    setSelectedAgentId(id)
+    setTerminalExpanded(true)
+    const agent = agents.find((a) => a.id === id)
+    if (!agent) return
+    const nodeId = agent.supervisor ? id : (AGENT_NODE[id] || agent.zone)
+    if (nodeId) {
+      const stub = findNodeStub(nodeId)
+      if (stub) {
+        selectNode(nodeId)
+        return
+      }
+    }
+    setSelectedNodeId(null)
+    setSelectedNode(null)
+    setNodeDetail(null)
+  }, [agents, findNodeStub, selectNode])
+
+  const clearSelection = useCallback(() => {
+    setSelectedNodeId(null)
+    setSelectedNode(null)
+    setNodeDetail(null)
+    setSelectedAgentId(null)
+  }, [])
+
+  const probeNode = useCallback(() => {
+    if (selectedNodeId) probeNodeId(selectedNodeId)
+  }, [selectedNodeId, probeNodeId])
+
+  const askNode = useCallback(async (message: string) => {
+    if (!selectedNodeId) return
+    setNodeBusy(true)
+    setTerminalExpanded(true)
+    await apiAskNode(resolveProbeId(selectedNodeId), message)
+  }, [selectedNodeId])
+
+  const sendPrompt = useCallback(async (message: string, agentId?: string) => {
+    setPromptBusy(true)
+    setChatExpanded(true)
+    setChat((c) => [...c, { role: 'user', text: message, ts: new Date().toISOString() }])
+    if (agentId) setSelectedAgentId(agentId)
+    await apiSendPrompt(message, agentId)
+  }, [])
+
+  const decide = useCallback(async (id: string, approved: boolean, decidedBy = 'mo-commander', note = '') => {
+    setApprovals((prev) => prev.filter((a) => a.id !== id))
+    await decideApproval(id, approved, decidedBy, note)
+    reloadFast()
+  }, [reloadFast])
+
+  const terminalSubjectId = selectedNodeId || selectedAgentId
+
+  const inspectorLines = useMemo(() => {
+    if (!terminalSubjectId) return []
+    const probeId = resolveProbeId(terminalSubjectId)
+    return terminals[probeId] || terminals[terminalSubjectId] || terminals[selectedAgentId || ''] || []
+  }, [terminalSubjectId, terminals, selectedAgentId])
+
+  const focusApprovals = useCallback(() => {
+    setApprovalHighlight(true)
+    setMainView('approvals')
+  }, [])
+
+  return {
+    agents,
+    agentsLoading,
+    status,
+    workload,
+    gpu,
+    feed,
+    approvals,
+    chat,
+    anims,
+    selectedAgentId,
+    selectedAgent,
+    promptBusy,
+    selectedNodeId,
+    selectedNode,
+    nodeDetail,
+    nodeBusy,
+    mainView,
+    setMainView,
+    approvalHighlight,
+    setApprovalHighlight,
+    inspectorLines,
+    terminalSubjectId,
+    terminalExpanded,
+    setTerminalExpanded,
+    selectNode,
+    selectAgent,
+    clearSelection,
+    probeNode,
+    probeNodeId,
+    openTerminal,
+    askNode,
+    sendPrompt,
+    decide,
+    focusApprovals,
+    reload,
+    chatExpanded,
+    setChatExpanded,
+  }
+}

ui/src/hooks/useLiveMetrics.ts

@@ -0,0 +1,120 @@
+import { useEffect, useRef, useState } from 'react'
+import type { Agent, AgentAnim, GpuStatus } from '../types'
+import { pseudoAgentLoad } from '../lib/agentMeta'
+
+export type AgentLoad = { cpu: number; mem: number }
+
+export type GpuLiveMetrics = {
+  tokenThroughput: number
+  avgUtil: number
+  avgVram: number
+  deviceUtils: number[]
+}
+
+function clamp(n: number, min: number, max: number) {
+  return Math.min(max, Math.max(min, n))
+}
+
+function memPct(used: number, total: number) {
+  if (!total) return 0
+  return Math.round((used / total) * 100)
+}
+
+export function useLiveMetrics(
+  agents: Agent[],
+  gpu: GpuStatus | null,
+  animations: Record<string, AgentAnim>,
+  boost = false,
+) {
+  const [agentLoads, setAgentLoads] = useState<Record<string, AgentLoad>>({})
+  const [gpuLive, setGpuLive] = useState<GpuLiveMetrics>({
+    tokenThroughput: 0,
+    avgUtil: 0,
+    avgVram: 0,
+    deviceUtils: [],
+  })
+  const loadsRef = useRef(agentLoads)
+  loadsRef.current = agentLoads
+
+  useEffect(() => {
+    const seed: Record<string, AgentLoad> = {}
+    for (const a of agents) {
+      seed[a.id] = pseudoAgentLoad(a.stats)
+    }
+    setAgentLoads(seed)
+
+    const gpus = gpu?.gpus || []
+    const baseUtil = gpus.length ? gpus.reduce((s, g) => s + g.util_gpu, 0) / gpus.length : 0
+    const baseVram = gpus.length
+      ? gpus.reduce((s, g) => s + memPct(g.memory_used_mib, g.memory_total_mib), 0) / gpus.length
+      : 0
+    const inferenceOn = gpu?.ok && gpu.inference_active
+    setGpuLive({
+      tokenThroughput: inferenceOn ? Math.round(baseUtil * 42 + 120) : 0,
+      avgUtil: baseUtil,
+      avgVram: baseVram,
+      deviceUtils: gpus.map((g) => g.util_gpu),
+    })
+  }, [agents, gpu])
+
+  useEffect(() => {
+    const tick = () => {
+      setAgentLoads((prev) => {
+        const next: Record<string, AgentLoad> = {}
+        for (const a of agents) {
+          const busy = (animations[a.id]?.state || 'idle') !== 'idle'
+          const base = pseudoAgentLoad(a.stats)
+          const cur = prev[a.id] || base
+          const drift = (Math.random() - 0.5) * (busy ? 7 : 2.5)
+          const driftMem = (Math.random() - 0.5) * (busy ? 5 : 2)
+          const targetCpu = busy ? Math.max(base.cpu, cur.cpu) : base.cpu
+          const targetMem = busy ? Math.max(base.mem, cur.mem) : base.mem
+          next[a.id] = {
+            cpu: clamp(Math.round(cur.cpu + drift + (busy ? 1.2 : -0.3)), 4, 96),
+            mem: clamp(Math.round(cur.mem + driftMem + (busy ? 0.8 : -0.2)), 6, 92),
+          }
+          if (!busy) {
+            next[a.id].cpu = clamp(Math.round(next[a.id].cpu * 0.85 + targetCpu * 0.15), 4, 96)
+            next[a.id].mem = clamp(Math.round(next[a.id].mem * 0.85 + targetMem * 0.15), 6, 92)
+          }
+        }
+        return next
+      })
+
+      if (gpu?.ok) {
+        const gpus = gpu.gpus || []
+        const inferenceOn = gpu.inference_active
+        setGpuLive((prev) => {
+          const baseUtil = gpus.length
+            ? gpus.reduce((s, g) => s + g.util_gpu, 0) / gpus.length
+            : prev.avgUtil
+          const baseVram = gpus.length
+            ? gpus.reduce((s, g) => s + memPct(g.memory_used_mib, g.memory_total_mib), 0) / gpus.length
+            : prev.avgVram
+          const jitterScale = boost ? 12 : 6
+          const utilJitter = (Math.random() - 0.5) * (inferenceOn ? jitterScale : 2)
+          const avgUtil = clamp(baseUtil + utilJitter, 0, 100)
+          const avgVram = clamp(baseVram + (Math.random() - 0.5) * 3, 0, 100)
+          const deviceUtils = gpus.map((g, i) => {
+            const real = g.util_gpu
+            if (boost && inferenceOn) {
+              return clamp(real + (Math.random() - 0.5) * 8, 0, 100)
+            }
+            return clamp((prev.deviceUtils[i] ?? real) + (Math.random() - 0.5) * 5, 0, 100)
+          })
+          const tokenBase = boost ? Math.max(180, baseUtil * 55 + 140) : baseUtil * 42 + 120
+          const tokenThroughput = inferenceOn
+            ? clamp(Math.round(prev.tokenThroughput * 0.4 + tokenBase * 0.6 + (Math.random() - 0.5) * (boost ? 45 : 28)), boost ? 120 : 80, boost ? 520 : 420)
+            : 0
+          return { tokenThroughput, avgUtil, avgVram, deviceUtils }
+        })
+      }
+    }
+
+    tick()
+    const id = setInterval(tick, boost ? 1000 : 5000)
+    return () => clearInterval(id)
+  }, [agents, animations, gpu, boost])
+
+  return { agentLoads, gpuLive }
+}

ui/src/index.css

@@ -1,57 +0,0 @@
-@tailwind base;
-@tailwind components;
-@tailwind utilities;
-
-body {
-  margin: 0;
-  min-height: 100vh;
-  background: linear-gradient(165deg, #f0f4ff 0%, #e8eef9 35%, #f5f0ff 70%, #eef8ff 100%);
-  background-attachment: fixed;
-}
-
-body::before {
-  content: '';
-  position: fixed;
-  inset: 0;
-  background-image:
-    linear-gradient(rgba(0, 140, 200, 0.04) 1px, transparent 1px),
-    linear-gradient(90deg, rgba(0, 140, 200, 0.04) 1px, transparent 1px);
-  background-size: 48px 48px;
-  pointer-events: none;
-  z-index: 0;
-}
-
-#root {
-  position: relative;
-  z-index: 1;
-}
-
-.glass {
-  background: rgba(255, 255, 255, 0.82);
-  backdrop-filter: blur(16px);
-  border: 1px solid rgba(0, 160, 220, 0.18);
-  box-shadow:
-    0 4px 24px rgba(15, 40, 80, 0.06),
-    0 1px 0 rgba(255, 255, 255, 0.9) inset;
-}
-
-.glass-strong {
-  background: rgba(255, 255, 255, 0.94);
-  backdrop-filter: blur(20px);
-  border: 1px solid rgba(0, 160, 220, 0.22);
-  box-shadow: 0 8px 32px rgba(15, 40, 80, 0.08);
-}
-
-.neon-text-cyan {
-  text-shadow: 0 0 24px rgba(0, 180, 220, 0.35);
-}
-
-.status-card {
-  background: linear-gradient(145deg, #ffffff 0%, #f8fbff 100%);
-  transition: transform 0.15s ease, box-shadow 0.15s ease;
-}
-
-.status-card:hover {
-  transform: translateY(-2px);
-  box-shadow: 0 8px 24px rgba(15, 40, 80, 0.1);
-}

ui/src/lib/agentMeta.ts

@@ -0,0 +1,126 @@
+import type { LucideIcon } from 'lucide-react'
+import {
+  Bot,
+  Cpu,
+  Database,
+  Layers,
+  Network,
+  Radio,
+  Server,
+  Shield,
+  TreePine,
+  Workflow,
+} from 'lucide-react'
+import type { AgentAnim } from '../types'
+
+export type AgentMeta = {
+  icon: LucideIcon
+  accent: string
+  idleTask: string
+  activeTask: string
+  domain: string
+}
+
+export const AGENT_META: Record<string, AgentMeta> = {
+  'etl-guardian': {
+    icon: Workflow,
+    accent: '#38bdf8',
+    domain: 'ETL / CDC',
+    idleTask: 'Monitoring Airflow DAGs & Kafka connectors',
+    activeTask: 'Automating ETL layer — CDC sync validation',
+  },
+  'lakehouse-ops': {
+    icon: Layers,
+    accent: '#818cf8',
+    domain: 'Lakehouse',
+    idleTask: 'Watching Spark, Trino & Iceberg catalogs',
+    activeTask: 'Optimizing lakehouse queries & table health',
+  },
+  'data-custodian': {
+    icon: Database,
+    accent: '#34d399',
+    domain: 'Databases',
+    idleTask: 'Guarding PostgreSQL, MySQL & document stores',
+    activeTask: 'Running database health & replication checks',
+  },
+  'hadoop-ranger': {
+    icon: TreePine,
+    accent: '#4ade80',
+    domain: 'Hadoop',
+    idleTask: 'Patrolling HDFS capacity & YARN nodes',
+    activeTask: 'Analyzing HDFS blocks & cluster balance',
+  },
+  'infra-sentinel': {
+    icon: Server,
+    accent: '#94a3b8',
+    domain: 'Infrastructure',
+    idleTask: 'Observing Docker hosts & platform services',
+    activeTask: 'Correlating infra events across the lab',
+  },
+  'mo-commander': {
+    icon: Shield,
+    accent: '#60a5fa',
+    domain: 'Supervision',
+    idleTask: 'Ingress intel & approval oversight',
+    activeTask: 'Reviewing agent dispatch & approvals',
+  },
+  'bart-commander': {
+    icon: Radio,
+    accent: '#2dd4bf',
+    domain: 'Supervision',
+    idleTask: 'Egress monitoring & MCP comms relay',
+    activeTask: 'Tracking outbound agent communications',
+  },
+  'network-watcher': {
+    icon: Network,
+    accent: '#38bdf8',
+    domain: 'Network',
+    idleTask: 'VLAN 20/21 traffic path analysis',
+    activeTask: 'Mapping data ingress & egress flows',
+  },
+  'mcp-coordinator': {
+    icon: Cpu,
+    accent: '#c084fc',
+    domain: 'MCP Hub',
+    idleTask: 'Routing tool calls between agents',
+    activeTask: 'Orchestrating MCP tool execution',
+  },
+}
+
+const DEFAULT_META: AgentMeta = {
+  icon: Bot,
+  accent: '#94a3b8',
+  domain: 'Agent',
+  idleTask: 'Standing by',
+  activeTask: 'Executing mission',
+}
+
+export function getAgentMeta(agentId: string): AgentMeta {
+  return AGENT_META[agentId] || DEFAULT_META
+}
+
+export function agentTaskLabel(agentId: string, anim?: AgentAnim): string {
+  const meta = getAgentMeta(agentId)
+  if (!anim || anim.state === 'idle') return meta.idleTask
+  if (anim.state === 'walk') return `Routing to ${anim.zone || 'target zone'}…`
+  if (anim.state === 'fetch') return meta.activeTask
+  if (anim.state === 'return') return 'Publishing mission results…'
+  return meta.activeTask
+}
+
+export function pseudoAgentLoad(stats?: { tasks: number; alerts: number }) {
+  const tasks = stats?.tasks ?? 0
+  const alerts = stats?.alerts ?? 0
+  const cpu = Math.min(94, 8 + tasks * 3 + alerts * 5)
+  const mem = Math.min(88, 12 + tasks * 2 + alerts * 4)
+  return { cpu, mem }
+}
+
+export const DOMAIN_LABELS: Record<string, string> = {
+  docker: 'Docker Platform',
+  databases: 'Database Vault',
+  lakehouse: 'Lakehouse',
+  etl: 'ETL / Streaming',
+  hadoop: 'Hadoop Cluster',
+  gpu: 'GPU / AI',
+}

ui/src/lib/api.ts

@@ -0,0 +1,101 @@
+import type {
+  PresentationData,
+  Agent,
+  Approval,
+  FeedEntry,
+  GpuStatus,
+  StatusData,
+  TerminalLine,
+  WorkloadData,
+} from '../types'
+
+async function fetchJson<T>(url: string, timeoutMs = 10000): Promise<T | null> {
+  const ctrl = new AbortController()
+  const timer = setTimeout(() => ctrl.abort(), timeoutMs)
+  try {
+    const r = await fetch(url, { signal: ctrl.signal })
+    if (!r.ok) return null
+    return (await r.json()) as T
+  } catch {
+    return null
+  } finally {
+    clearTimeout(timer)
+  }
+}
+
+export async function fetchAgents() {
+  const j = await fetchJson<{ agents?: Agent[] }>('/api/agents', 8000)
+  return j?.agents || []
+}
+
+export async function fetchStatus() {
+  return (await fetchJson<StatusData>('/api/status', 8000)) as StatusData
+}
+
+export async function fetchFeed() {
+  const j = await fetchJson<{ entries?: FeedEntry[] }>('/api/feed', 8000)
+  return j?.entries || []
+}
+
+export async function fetchApprovals() {
+  const j = await fetchJson<{ approvals?: Approval[] }>('/api/approvals', 8000)
+  return j?.approvals || []
+}
+
+export async function fetchApprovalHistory(status: string = 'pending') {
+  const j = await fetchJson<{
+    approvals?: Approval[]
+    stats?: { pending: number; approved: number; denied: number; total: number }
+  }>(`/api/approvals?status=${encodeURIComponent(status)}&limit=200`, 8000)
+  return { approvals: j?.approvals || [], stats: j?.stats }
+}
+
+export async function fetchGpu(): Promise<GpuStatus | null> {
+  return fetchJson<GpuStatus>('/api/gpu', 8000)
+}
+
+export async function fetchTerminals(): Promise<Record<string, TerminalLine[]>> {
+  const j = await fetchJson<{ terminals?: Record<string, TerminalLine[]> }>('/api/terminals', 8000)
+  return j?.terminals || {}
+}
+
+export async function fetchWorkload(): Promise<WorkloadData | null> {
+  return fetchJson<WorkloadData>('/api/workload?fast=true', 25000)
+}
+
+export async function fetchNodeDetail(nodeId: string) {
+  const j = await fetchJson<Record<string, unknown>>(`/api/nodes/${nodeId}`, 15000)
+  return j || { error: 'timeout' }
+}
+
+export function probeNode(nodeId: string) {
+  return fetch(`/api/nodes/${nodeId}/probe`, { method: 'POST' })
+}
+
+export function askNode(nodeId: string, message: string) {
+  return fetch(`/api/nodes/${nodeId}/ask`, {
+    method: 'POST',
+    headers: { 'Content-Type': 'application/json' },
+    body: JSON.stringify({ message }),
+  })
+}
+
+export function sendPrompt(message: string, agentId?: string) {
+  return fetch('/api/prompt', {
+    method: 'POST',
+    headers: { 'Content-Type': 'application/json' },
+    body: JSON.stringify({ message, agent_id: agentId || undefined }),
+  })
+}
+
+export async function fetchPresentation(): Promise<PresentationData | null> {
+  return fetchJson<PresentationData>('/api/presentation', 60000)
+}
+
+export async function decideApproval(id: string, approved: boolean, decidedBy: string, note: string) {
+  return fetch(`/api/approvals/${id}/decide`, {
+    method: 'POST',
+    headers: { 'Content-Type': 'application/json' },
+    body: JSON.stringify({ approved, decided_by: decidedBy, note }),
+  })
+}