Sovereign telemetry stack: Prometheus + Grafana + exporter

- Docker Compose with 3 containers (prometheus, grafana, exporter)
- Custom Python exporter reads Gitea API, heartbeat JSONL, inference metrics, model health
- Sovereignty score: 7 dimensions, weighted composite (0-100)
- Top 5 common sense metrics: commit velocity, issues/PRs, heartbeat, inference, model health
- Grafana auto-provisioned with 'Timmy Sovereign Command' dashboard
- Grafana on :3033, Prometheus on :9090, Exporter on :9101

Refs: #590, #594

README.md

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+# Timmy Telemetry — Sovereign Monitoring Stack
+
+Prometheus + Grafana + custom exporter for the Timmy Foundation infrastructure.
+Zero cloud dependencies. Runs entirely on Hermes.
+
+## What You Get
+
+### Sovereignty Index (0-100)
+Composite score across 7 dimensions:
+| Dimension | What it measures | Weight |
+|---|---|---|
+| **Inference** | % of model calls going local vs cloud | 25% |
+| **Compute** | Local GPU/CPU vs rented cloud | 20% |
+| **Data** | Local storage (Gitea/SQLite/JSONL) vs cloud | 15% |
+| **Infrastructure** | Self-hosted services vs SaaS | 15% |
+| **Tools** | Local tools vs cloud-dependent ones | 15% |
+| **Identity** | Self-managed keys vs platform accounts | 5% |
+| **Financial** | Lightning/Cashu vs fiat rails | 5% |
+
+### Top 5 Common Sense Metrics
+1. **Commit Velocity** — commits/24h per repo (from Gitea API)
+2. **Issues & PRs** — open counts, burn rate (from Gitea API)
+3. **Heartbeat Health** — tick rate, consecutive OK, last tick age (from `~/.timmy/heartbeat/`)
+4. **Local Inference** — calls today, success rate, avg response length (from `~/.timmy/metrics/`)
+5. **Model Health** — Ollama up/down, API responding, inference OK, models loaded (from `~/.hermes/model_health.json`)
+
+### Bonus
+- Agent activity (commits per agent: claude, gemini, kimi, grok, perplexity, Timmy)
+- DPO training pairs staged
+- Sovereignty trend over time
+
+## Deploy on Hermes
+
+```bash
+# Clone to Hermes
+cd ~/.timmy
+git clone <this-repo> timmy-telemetry
+cd timmy-telemetry
+
+# Set your Gitea token (or it uses the default)
+export GITEA_TOKEN=130c3811bf4bae84a724cc165d677573d0f89636
+
+# Launch
+docker compose up -d
+```
+
+## Access
+
+| Service | URL | Credentials |
+|---|---|---|
+| Grafana | http://localhost:3033 | admin / timmy |
+| Prometheus | http://localhost:9090 | — |
+| Exporter | http://localhost:9101/metrics | — |
+
+Grafana auto-loads the "Timmy Sovereign Command" dashboard on first boot.
+
+## Architecture
+
+```
+┌──────────────┐     scrape/30s     ┌──────────────┐
+│  Prometheus  │◄────────────────── │   Exporter   │
+│  :9090       │                    │   :9101      │
+└──────┬───────┘                    └──────┬───────┘
+       │                                   │ reads
+       │                           ┌───────┴────────┐
+┌──────▼───────┐                   │ ~/.timmy/       │
+│   Grafana    │                   │   heartbeat/    │
+│   :3033      │                   │   metrics/      │
+│              │                   │ ~/.hermes/      │
+│  Dashboards  │                   │   model_health  │
+└──────────────┘                   │ Gitea API       │
+                                   └────────────────┘
+```
+
+## Sovereignty Score Logic
+
+The score starts pessimistic and improves as you migrate off cloud:
+- **Every local inference call** pushes the inference dimension up
+- **Deploying Nostr identity** (#13) will unlock the identity dimension
+- **Lightning/Cashu** (#554, #555) will unlock the financial dimension
+- **Replacing cloud agent workers** with local models pushes compute + tools up
+
+Target: 100 = fully sovereign, $0 cloud bill, no external dependencies.

docker-compose.yml

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+# Timmy Telemetry Stack — Sovereign Monitoring
+# Deploy on Hermes (Mac M3 Max) alongside Ollama + Huey
+#
+#   cd ~/.timmy/timmy-telemetry && docker compose up -d
+#
+# Grafana:    http://localhost:3033  (admin / timmy)
+# Prometheus: http://localhost:9090
+# Exporter:   http://localhost:9101/metrics
+
+services:
+  prometheus:
+    image: prom/prometheus:latest
+    container_name: timmy-prometheus
+    restart: unless-stopped
+    ports:
+      - "9090:9090"
+    volumes:
+      - ./prometheus/prometheus.yml:/etc/prometheus/prometheus.yml:ro
+      - prometheus-data:/prometheus
+    command:
+      - "--config.file=/etc/prometheus/prometheus.yml"
+      - "--storage.tsdb.retention.time=90d"
+      - "--web.enable-lifecycle"
+
+  grafana:
+    image: grafana/grafana:latest
+    container_name: timmy-grafana
+    restart: unless-stopped
+    ports:
+      - "3033:3000"
+    environment:
+      - GF_SECURITY_ADMIN_USER=admin
+      - GF_SECURITY_ADMIN_PASSWORD=timmy
+      - GF_DASHBOARDS_DEFAULT_HOME_DASHBOARD_PATH=/var/lib/grafana/dashboards/sovereignty.json
+    volumes:
+      - ./grafana/provisioning:/etc/grafana/provisioning:ro
+      - ./grafana/dashboards:/var/lib/grafana/dashboards:ro
+      - grafana-data:/var/lib/grafana
+
+  exporter:
+    build: ./exporter
+    container_name: timmy-exporter
+    restart: unless-stopped
+    ports:
+      - "9101:9101"
+    volumes:
+      - ${TIMMY_HOME:-~/.timmy}:/data/timmy:ro
+      - ${HERMES_HOME:-~/.hermes}:/data/hermes:ro
+    environment:
+      - GITEA_URL=http://143.198.27.163:3000
+      - GITEA_TOKEN=${GITEA_TOKEN:-130c3811bf4bae84a724cc165d677573d0f89636}
+      - TIMMY_DATA=/data/timmy
+      - HERMES_DATA=/data/hermes
+
+volumes:
+  prometheus-data:
+  grafana-data:

exporter/Dockerfile

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+FROM python:3.12-slim
+WORKDIR /app
+COPY requirements.txt .
+RUN pip install --no-cache-dir -r requirements.txt
+COPY exporter.py .
+EXPOSE 9101
+CMD ["python", "exporter.py"]

exporter/exporter.py

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+"""Timmy Telemetry Exporter — Prometheus metrics from sovereign infrastructure.
+
+Reads existing data sources on Hermes and exposes them as /metrics:
+  - Gitea API  → commit velocity, PR throughput, issue burn
+  - Heartbeat ticks → uptime, perception health
+  - Local inference JSONL → model call rates, latency proxy
+  - Model health JSON → Ollama status
+  - Sovereignty score → computed composite
+
+Runs as a sidecar container, volumes mounted read-only.
+"""
+
+import json
+import glob
+import os
+import time
+import threading
+from datetime import datetime, timezone, timedelta
+from pathlib import Path
+
+import requests
+from prometheus_client import (
+    start_http_server, Gauge, Counter, Info, Summary, Enum,
+    REGISTRY, CollectorRegistry,
+)
+
+# ── Config ───────────────────────────────────────────────────────────
+
+GITEA_URL = os.environ.get("GITEA_URL", "http://143.198.27.163:3000")
+GITEA_TOKEN = os.environ.get("GITEA_TOKEN", "")
+TIMMY_DATA = Path(os.environ.get("TIMMY_DATA", "/data/timmy"))
+HERMES_DATA = Path(os.environ.get("HERMES_DATA", "/data/hermes"))
+REPOS = [
+    "Timmy_Foundation/the-nexus",
+    "Timmy_Foundation/timmy-config",
+]
+SCRAPE_INTERVAL = 30  # seconds
+
+# ── Prometheus Metrics ───────────────────────────────────────────────
+
+# == TOP 5 COMMON SENSE METRICS ==
+
+# 1. Commit velocity (commits in last 24h per repo)
+commits_24h = Gauge(
+    "timmy_commits_24h",
+    "Commits in the last 24 hours",
+    ["repo"],
+)
+
+# 2. Open issues / open PRs
+open_issues = Gauge(
+    "timmy_open_issues",
+    "Open issue count",
+    ["repo"],
+)
+open_prs = Gauge(
+    "timmy_open_prs",
+    "Open PR count",
+    ["repo"],
+)
+
+# 3. Heartbeat health (ticks in last hour, consecutive healthy ticks)
+heartbeat_ticks_1h = Gauge(
+    "timmy_heartbeat_ticks_1h",
+    "Heartbeat ticks recorded in the last hour",
+)
+heartbeat_consecutive_healthy = Gauge(
+    "timmy_heartbeat_consecutive_healthy",
+    "Consecutive heartbeat ticks with severity=ok",
+)
+heartbeat_last_tick_age_seconds = Gauge(
+    "timmy_heartbeat_last_tick_age_seconds",
+    "Seconds since last heartbeat tick",
+)
+
+# 4. Local inference stats (calls today, success rate)
+inference_calls_today = Gauge(
+    "timmy_inference_calls_today",
+    "Local model inference calls today",
+    ["model"],
+)
+inference_success_rate = Gauge(
+    "timmy_inference_success_rate",
+    "Local inference success rate (0-1) today",
+    ["model"],
+)
+inference_avg_response_len = Gauge(
+    "timmy_inference_avg_response_len",
+    "Average response length (chars) today",
+    ["model"],
+)
+
+# 5. Model health (is Ollama up, is inference working)
+ollama_up = Gauge(
+    "timmy_ollama_up",
+    "Whether Ollama process is running (1=yes, 0=no)",
+)
+ollama_api_up = Gauge(
+    "timmy_ollama_api_up",
+    "Whether Ollama API is responding (1=yes, 0=no)",
+)
+ollama_inference_ok = Gauge(
+    "timmy_ollama_inference_ok",
+    "Whether local inference smoke test passed (1=yes, 0=no)",
+)
+models_loaded_count = Gauge(
+    "timmy_models_loaded",
+    "Number of models loaded in Ollama",
+)
+
+# == SOVEREIGNTY SCORE ==
+
+sovereignty_score = Gauge(
+    "timmy_sovereignty_score",
+    "Composite sovereignty index (0-100)",
+)
+sovereignty_dimension = Gauge(
+    "timmy_sovereignty_dimension",
+    "Individual sovereignty dimension score (0-100)",
+    ["dimension"],
+)
+
+# == BONUS: Gitea agent activity ==
+agent_commits_24h = Gauge(
+    "timmy_agent_commits_24h",
+    "Commits by agent in last 24h",
+    ["agent"],
+)
+agent_prs_open = Gauge(
+    "timmy_agent_prs_open",
+    "Open PRs by agent",
+    ["agent"],
+)
+dpo_pairs_staged = Gauge(
+    "timmy_dpo_pairs_staged",
+    "DPO training pair files exported",
+)
+alerts_today = Gauge(
+    "timmy_alerts_today",
+    "Heartbeat alerts logged today",
+)
+gitea_up_gauge = Gauge(
+    "timmy_gitea_up",
+    "Whether Gitea API is reachable (1=yes, 0=no)",
+)
+
+
+# ── Data Collection Functions ────────────────────────────────────────
+
+def gitea_get(path, params=None):
+    """GET from Gitea API with token auth."""
+    headers = {"Authorization": f"token {GITEA_TOKEN}"} if GITEA_TOKEN else {}
+    try:
+        r = requests.get(
+            f"{GITEA_URL}/api/v1{path}",
+            headers=headers,
+            params=params or {},
+            timeout=10,
+        )
+        r.raise_for_status()
+        return r.json()
+    except Exception:
+        return None
+
+
+def collect_gitea_metrics():
+    """Pull commit velocity, issue/PR counts, agent activity from Gitea."""
+    since_24h = (datetime.now(timezone.utc) - timedelta(hours=24)).isoformat()
+    agents = ["claude", "gemini", "kimi", "grok", "perplexity", "Timmy", "Rockachopa"]
+    agent_commit_counts = {a: 0 for a in agents}
+
+    gitea_alive = False
+
+    for repo in REPOS:
+        # Commits in last 24h
+        commits = gitea_get(f"/repos/{repo}/commits", {"since": since_24h, "limit": 50})
+        if commits is not None:
+            gitea_alive = True
+            commits_24h.labels(repo=repo).set(len(commits))
+
+            # Count per-agent commits
+            for c in commits:
+                author = c.get("commit", {}).get("author", {}).get("name", "")
+                for agent in agents:
+                    if agent.lower() in author.lower():
+                        agent_commit_counts[agent] += 1
+        else:
+            commits_24h.labels(repo=repo).set(0)
+
+        # Open issues
+        issues = gitea_get(f"/repos/{repo}/issues", {"state": "open", "type": "issues", "limit": 1})
+        if issues is not None:
+            # Gitea returns paginated — get total from header or count
+            all_issues = gitea_get(f"/repos/{repo}/issues", {"state": "open", "type": "issues", "limit": 50})
+            open_issues.labels(repo=repo).set(len(all_issues) if all_issues else 0)
+
+        # Open PRs
+        prs = gitea_get(f"/repos/{repo}/pulls", {"state": "open", "limit": 50})
+        if prs is not None:
+            open_prs.labels(repo=repo).set(len(prs))
+            # Count per-agent PRs
+            for pr in prs:
+                author = pr.get("user", {}).get("login", "")
+                for agent in agents:
+                    if agent.lower() == author.lower():
+                        agent_prs_open.labels(agent=agent).set(
+                            agent_prs_open.labels(agent=agent)._value._value + 1
+                            if hasattr(agent_prs_open.labels(agent=agent), '_value')
+                            else 1
+                        )
+
+    # Set agent commit gauges
+    for agent, count in agent_commit_counts.items():
+        agent_commits_24h.labels(agent=agent).set(count)
+
+    gitea_up_gauge.set(1 if gitea_alive else 0)
+    return gitea_alive
+
+
+def collect_heartbeat_metrics():
+    """Read heartbeat tick JSONL files from ~/.timmy/heartbeat/."""
+    tick_dir = TIMMY_DATA / "heartbeat"
+    today = datetime.now(timezone.utc).strftime("%Y%m%d")
+    tick_file = tick_dir / f"ticks_{today}.jsonl"
+
+    if not tick_file.exists():
+        heartbeat_ticks_1h.set(0)
+        heartbeat_consecutive_healthy.set(0)
+        heartbeat_last_tick_age_seconds.set(9999)
+        alerts_today.set(0)
+        return
+
+    ticks = []
+    alert_count = 0
+    for line in tick_file.read_text().strip().split("\n"):
+        if not line.strip():
+            continue
+        try:
+            t = json.loads(line)
+            ticks.append(t)
+            actions = t.get("decision", {}).get("actions", [])
+            alert_count += len(actions)
+        except (json.JSONDecodeError, KeyError):
+            continue
+
+    alerts_today.set(alert_count)
+
+    if not ticks:
+        heartbeat_ticks_1h.set(0)
+        heartbeat_consecutive_healthy.set(0)
+        heartbeat_last_tick_age_seconds.set(9999)
+        return
+
+    # Ticks in last hour
+    one_hour_ago = datetime.now(timezone.utc) - timedelta(hours=1)
+    recent = 0
+    for t in ticks:
+        try:
+            ts = datetime.fromisoformat(t["timestamp"].replace("Z", "+00:00"))
+            if ts > one_hour_ago:
+                recent += 1
+        except (KeyError, ValueError):
+            pass
+    heartbeat_ticks_1h.set(recent)
+
+    # Consecutive healthy (severity = ok from end)
+    consecutive = 0
+    for t in reversed(ticks):
+        severity = t.get("decision", {}).get("severity", "unknown")
+        if severity == "ok":
+            consecutive += 1
+        else:
+            break
+    heartbeat_consecutive_healthy.set(consecutive)
+
+    # Age of last tick
+    try:
+        last_ts = datetime.fromisoformat(ticks[-1]["timestamp"].replace("Z", "+00:00"))
+        age = (datetime.now(timezone.utc) - last_ts).total_seconds()
+        heartbeat_last_tick_age_seconds.set(age)
+    except (KeyError, ValueError):
+        heartbeat_last_tick_age_seconds.set(9999)
+
+
+def collect_inference_metrics():
+    """Read local inference JSONL from ~/.timmy/metrics/."""
+    metrics_dir = TIMMY_DATA / "metrics"
+    today = datetime.now(timezone.utc).strftime("%Y%m%d")
+    metrics_file = metrics_dir / f"local_{today}.jsonl"
+
+    if not metrics_file.exists():
+        return
+
+    # Aggregate per model
+    model_stats = {}  # model -> {calls, successes, total_response_len}
+    for line in metrics_file.read_text().strip().split("\n"):
+        if not line.strip():
+            continue
+        try:
+            record = json.loads(line)
+            model = record.get("model", "unknown")
+            if model not in model_stats:
+                model_stats[model] = {"calls": 0, "successes": 0, "total_resp_len": 0}
+            model_stats[model]["calls"] += 1
+            if record.get("success"):
+                model_stats[model]["successes"] += 1
+                model_stats[model]["total_resp_len"] += record.get("response_len", 0)
+        except (json.JSONDecodeError, KeyError):
+            continue
+
+    for model, stats in model_stats.items():
+        inference_calls_today.labels(model=model).set(stats["calls"])
+        rate = stats["successes"] / stats["calls"] if stats["calls"] > 0 else 0
+        inference_success_rate.labels(model=model).set(round(rate, 3))
+        avg_len = stats["total_resp_len"] / stats["successes"] if stats["successes"] > 0 else 0
+        inference_avg_response_len.labels(model=model).set(round(avg_len))
+
+
+def collect_model_health():
+    """Read model health from ~/.hermes/model_health.json."""
+    health_file = HERMES_DATA / "model_health.json"
+    if not health_file.exists():
+        ollama_up.set(0)
+        ollama_api_up.set(0)
+        ollama_inference_ok.set(0)
+        models_loaded_count.set(0)
+        return
+
+    try:
+        h = json.loads(health_file.read_text())
+        ollama_up.set(1 if h.get("ollama_running") else 0)
+        ollama_api_up.set(1 if h.get("api_responding") else 0)
+        ollama_inference_ok.set(1 if h.get("inference_ok") else 0)
+        models_loaded_count.set(len(h.get("models_loaded", [])))
+    except (json.JSONDecodeError, KeyError):
+        ollama_up.set(0)
+        ollama_api_up.set(0)
+        ollama_inference_ok.set(0)
+        models_loaded_count.set(0)
+
+
+def collect_dpo_metrics():
+    """Count DPO training pairs staged."""
+    dpo_dir = TIMMY_DATA / "training-data" / "dpo-pairs"
+    if dpo_dir.exists():
+        count = len(list(dpo_dir.glob("*.json")))
+        dpo_pairs_staged.set(count)
+    else:
+        dpo_pairs_staged.set(0)
+
+
+# ── Sovereignty Score ────────────────────────────────────────────────
+
+def compute_sovereignty_score():
+    """Compute composite sovereignty score from available data.
+
+    Dimensions (each 0-100):
+      1. Inference sovereignty — % of calls going to local models
+      2. Data sovereignty — all data stored locally (Gitea self-hosted, SQLite, JSONL)
+      3. Compute sovereignty — local CPU/GPU utilization vs cloud
+      4. Infrastructure sovereignty — self-hosted services vs SaaS
+      5. Identity sovereignty — Nostr/self-managed keys vs platform accounts
+      6. Financial sovereignty — Lightning/Cashu vs fiat payment rails
+      7. Tool sovereignty — self-hosted tools vs cloud SaaS
+
+    For v1, we compute what we CAN measure and estimate the rest.
+    """
+    scores = {}
+
+    # 1. INFERENCE SOVEREIGNTY
+    # Read today's inference log — check ratio of local vs cloud calls
+    metrics_dir = TIMMY_DATA / "metrics"
+    today = datetime.now(timezone.utc).strftime("%Y%m%d")
+    metrics_file = metrics_dir / f"local_{today}.jsonl"
+
+    local_calls = 0
+    cloud_calls = 0  # We don't log cloud calls yet, so estimate from known usage
+
+    if metrics_file.exists():
+        for line in metrics_file.read_text().strip().split("\n"):
+            if not line.strip():
+                continue
+            try:
+                r = json.loads(line)
+                if r.get("success"):
+                    local_calls += 1
+            except (json.JSONDecodeError, KeyError):
+                pass
+
+    # Known cloud dependencies: Anthropic (rate-limited, occasional),
+    # Gemini/Groq agents, Perplexity. Estimate 30% cloud for now.
+    # As local models improve, this should trend toward 100.
+    if local_calls > 0:
+        # Rough estimate: each heartbeat tick = 1 local call (every 10 min = 144/day)
+        # Agent workers use cloud. Assume 30% cloud overhead for now.
+        estimated_total = max(local_calls * 1.3, 1)
+        scores["inference"] = min(100, round((local_calls / estimated_total) * 100))
+    else:
+        scores["inference"] = 0
+
+    # 2. DATA SOVEREIGNTY
+    # Gitea is self-hosted ✓, SQLite for Huey ✓, JSONL for metrics ✓
+    # Minus: some conversation history lives in Anthropic/Gemini cloud sessions
+    scores["data"] = 75  # High — Gitea+SQLite+JSONL all local. Cloud sessions are the gap.
+
+    # 3. COMPUTE SOVEREIGNTY
+    # Mac M3 Max runs Ollama locally ✓
+    # But agent workers (gemini, grok) call cloud APIs
+    # Heartbeat uses local model ✓
+    health_file = HERMES_DATA / "model_health.json"
+    ollama_running = False
+    if health_file.exists():
+        try:
+            h = json.loads(health_file.read_text())
+            ollama_running = h.get("inference_ok", False)
+        except Exception:
+            pass
+    # Base 40 for having Ollama + local models, +30 if inference working, +30 when no cloud agents
+    scores["compute"] = 40 + (30 if ollama_running else 0)
+    # Cloud agents (gemini, grok) are still in use → cap at 70
+
+    # 4. INFRASTRUCTURE SOVEREIGNTY
+    # Gitea self-hosted ✓, Huey local ✓, Ollama local ✓
+    # VPS for Gitea is rented (DigitalOcean) — not fully sovereign
+    # Prometheus+Grafana (this stack) adds sovereignty ✓
+    scores["infrastructure"] = 70  # VPS is rented, everything else is self-managed
+
+    # 5. IDENTITY SOVEREIGNTY
+    # Gitea accounts are self-managed ✓
+    # Nostr identity not yet deployed (see issue #13)
+    # Still using platform accounts (GitHub, Anthropic, Google) for some things
+    scores["identity"] = 30  # Self-hosted Gitea accounts, but Nostr not live yet
+
+    # 6. FINANCIAL SOVEREIGNTY
+    # Lightning/Cashu not deployed yet (issues #554, #555)
+    # Currently paying for cloud APIs with credit card
+    scores["financial"] = 10  # Lightning+Cashu are tickets, not live yet
+
+    # 7. TOOL SOVEREIGNTY
+    # Hermes Agent harness ✓, Huey ✓, Gitea ✓, Ollama ✓
+    # Still depends on: aider (cloud), opencode (cloud), Docker Hub
+    tool_count_local = 5   # hermes-agent, huey, gitea, ollama, prometheus/grafana
+    tool_count_cloud = 3   # aider (gemini), opencode (grok), docker hub
+    total_tools = tool_count_local + tool_count_cloud
+    scores["tools"] = round((tool_count_local / total_tools) * 100) if total_tools > 0 else 0
+
+    # Set individual dimension gauges
+    for dim, score in scores.items():
+        sovereignty_dimension.labels(dimension=dim).set(score)
+
+    # Composite: weighted average
+    weights = {
+        "inference": 0.25,   # Most important — this is the core work
+        "data": 0.15,
+        "compute": 0.20,
+        "infrastructure": 0.15,
+        "identity": 0.05,
+        "financial": 0.05,
+        "tools": 0.15,
+    }
+    composite = sum(scores.get(d, 0) * w for d, w in weights.items())
+    sovereignty_score.set(round(composite))
+
+    return scores, round(composite)
+
+
+# ── Main Collection Loop ─────────────────────────────────────────────
+
+def collect_all():
+    """Run all collectors."""
+    try:
+        collect_gitea_metrics()
+    except Exception as e:
+        print(f"[WARN] Gitea collection failed: {e}")
+
+    try:
+        collect_heartbeat_metrics()
+    except Exception as e:
+        print(f"[WARN] Heartbeat collection failed: {e}")
+
+    try:
+        collect_inference_metrics()
+    except Exception as e:
+        print(f"[WARN] Inference collection failed: {e}")
+
+    try:
+        collect_model_health()
+    except Exception as e:
+        print(f"[WARN] Model health collection failed: {e}")
+
+    try:
+        collect_dpo_metrics()
+    except Exception as e:
+        print(f"[WARN] DPO collection failed: {e}")
+
+    try:
+        scores, composite = compute_sovereignty_score()
+        print(f"[INFO] Sovereignty score: {composite} | {scores}")
+    except Exception as e:
+        print(f"[WARN] Sovereignty computation failed: {e}")
+
+
+def collection_loop():
+    """Background thread that refreshes metrics every SCRAPE_INTERVAL."""
+    while True:
+        collect_all()
+        time.sleep(SCRAPE_INTERVAL)
+
+
+if __name__ == "__main__":
+    print("🔭 Timmy Telemetry Exporter starting on :9101")
+    print(f"   Gitea: {GITEA_URL}")
+    print(f"   Timmy data: {TIMMY_DATA}")
+    print(f"   Hermes data: {HERMES_DATA}")
+
+    # Initial collection
+    collect_all()
+
+    # Start background collection thread
+    t = threading.Thread(target=collection_loop, daemon=True)
+    t.start()
+
+    # Start Prometheus HTTP server
+    start_http_server(9101)
+    print("🟢 Exporter ready — http://localhost:9101/metrics")
+
+    # Block forever
+    while True:
+        time.sleep(3600)

exporter/requirements.txt

@@ -0,0 +1,2 @@
+prometheus_client==0.21.1
+requests==2.32.3

grafana/dashboards/sovereignty.json

@@ -0,0 +1,470 @@
+{
+  "annotations": { "list": [] },
+  "editable": true,
+  "fiscalYearStartMonth": 0,
+  "graphTooltip": 1,
+  "id": null,
+  "links": [],
+  "panels": [
+    {
+      "id": 1,
+      "title": "⚡ SOVEREIGNTY INDEX",
+      "description": "Composite sovereignty score across all dimensions (0-100)",
+      "type": "gauge",
+      "gridPos": { "h": 8, "w": 6, "x": 0, "y": 0 },
+      "targets": [
+        {
+          "expr": "timmy_sovereignty_score",
+          "legendFormat": "Sovereignty",
+          "refId": "A"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "color": { "mode": "thresholds" },
+          "thresholds": {
+            "mode": "absolute",
+            "steps": [
+              { "color": "#ff0000", "value": null },
+              { "color": "#ff4500", "value": 20 },
+              { "color": "#ff8c00", "value": 40 },
+              { "color": "#ffd700", "value": 60 },
+              { "color": "#32cd32", "value": 80 },
+              { "color": "#00ff00", "value": 95 }
+            ]
+          },
+          "min": 0,
+          "max": 100,
+          "unit": "none"
+        },
+        "overrides": []
+      },
+      "options": {
+        "reduceOptions": { "calcs": ["lastNotNull"] },
+        "showThresholdLabels": false,
+        "showThresholdMarkers": true,
+        "orientation": "auto"
+      }
+    },
+    {
+      "id": 2,
+      "title": "Sovereignty Dimensions",
+      "description": "Individual sovereignty scores per dimension",
+      "type": "bargauge",
+      "gridPos": { "h": 8, "w": 10, "x": 6, "y": 0 },
+      "targets": [
+        {
+          "expr": "timmy_sovereignty_dimension",
+          "legendFormat": "{{dimension}}",
+          "refId": "A"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "color": { "mode": "thresholds" },
+          "thresholds": {
+            "mode": "absolute",
+            "steps": [
+              { "color": "#ff4500", "value": null },
+              { "color": "#ff8c00", "value": 30 },
+              { "color": "#ffd700", "value": 50 },
+              { "color": "#32cd32", "value": 70 },
+              { "color": "#00ff00", "value": 90 }
+            ]
+          },
+          "min": 0,
+          "max": 100,
+          "unit": "none"
+        },
+        "overrides": []
+      },
+      "options": {
+        "reduceOptions": { "calcs": ["lastNotNull"] },
+        "displayMode": "gradient",
+        "orientation": "horizontal",
+        "showUnfilled": true,
+        "minVizWidth": 0,
+        "minVizHeight": 10,
+        "valueMode": "color"
+      }
+    },
+    {
+      "id": 3,
+      "title": "System Status",
+      "description": "Core infrastructure health at a glance",
+      "type": "stat",
+      "gridPos": { "h": 8, "w": 8, "x": 16, "y": 0 },
+      "targets": [
+        {
+          "expr": "timmy_ollama_up",
+          "legendFormat": "Ollama",
+          "refId": "A"
+        },
+        {
+          "expr": "timmy_ollama_inference_ok",
+          "legendFormat": "Inference",
+          "refId": "B"
+        },
+        {
+          "expr": "timmy_gitea_up",
+          "legendFormat": "Gitea",
+          "refId": "C"
+        },
+        {
+          "expr": "timmy_heartbeat_ticks_1h",
+          "legendFormat": "Heartbeat (1h)",
+          "refId": "D"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "mappings": [
+            { "options": { "0": { "text": "DOWN", "color": "red" }, "1": { "text": "UP", "color": "green" } }, "type": "value" }
+          ],
+          "thresholds": {
+            "mode": "absolute",
+            "steps": [
+              { "color": "red", "value": null },
+              { "color": "green", "value": 1 }
+            ]
+          }
+        },
+        "overrides": [
+          {
+            "matcher": { "id": "byName", "options": "Heartbeat (1h)" },
+            "properties": [
+              { "id": "mappings", "value": [] },
+              { "id": "thresholds", "value": { "mode": "absolute", "steps": [{ "color": "red", "value": null }, { "color": "yellow", "value": 1 }, { "color": "green", "value": 4 }] } }
+            ]
+          }
+        ]
+      },
+      "options": {
+        "reduceOptions": { "calcs": ["lastNotNull"] },
+        "colorMode": "background",
+        "graphMode": "none",
+        "justifyMode": "auto",
+        "textMode": "auto",
+        "wideLayout": true,
+        "showPercentChange": false
+      }
+    },
+    {
+      "id": 10,
+      "title": "① Commit Velocity (24h)",
+      "description": "Commits across repos in the last 24 hours",
+      "type": "timeseries",
+      "gridPos": { "h": 7, "w": 12, "x": 0, "y": 8 },
+      "targets": [
+        {
+          "expr": "timmy_commits_24h",
+          "legendFormat": "{{repo}}",
+          "refId": "A"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "color": { "mode": "palette-classic" },
+          "custom": {
+            "drawStyle": "line",
+            "lineWidth": 2,
+            "fillOpacity": 20,
+            "pointSize": 5,
+            "showPoints": "auto",
+            "spanNulls": false
+          },
+          "unit": "short"
+        },
+        "overrides": []
+      },
+      "options": {
+        "legend": { "displayMode": "list", "placement": "bottom" },
+        "tooltip": { "mode": "multi" }
+      }
+    },
+    {
+      "id": 11,
+      "title": "② Issues & PRs",
+      "description": "Open issues and PRs per repo",
+      "type": "bargauge",
+      "gridPos": { "h": 7, "w": 12, "x": 12, "y": 8 },
+      "targets": [
+        {
+          "expr": "timmy_open_issues",
+          "legendFormat": "Issues: {{repo}}",
+          "refId": "A"
+        },
+        {
+          "expr": "timmy_open_prs",
+          "legendFormat": "PRs: {{repo}}",
+          "refId": "B"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "color": { "mode": "palette-classic" },
+          "min": 0,
+          "unit": "short"
+        },
+        "overrides": []
+      },
+      "options": {
+        "reduceOptions": { "calcs": ["lastNotNull"] },
+        "displayMode": "gradient",
+        "orientation": "horizontal",
+        "showUnfilled": true
+      }
+    },
+    {
+      "id": 12,
+      "title": "③ Heartbeat Health",
+      "description": "Heartbeat tick rate and last tick age",
+      "type": "stat",
+      "gridPos": { "h": 7, "w": 8, "x": 0, "y": 15 },
+      "targets": [
+        {
+          "expr": "timmy_heartbeat_ticks_1h",
+          "legendFormat": "Ticks (1h)",
+          "refId": "A"
+        },
+        {
+          "expr": "timmy_heartbeat_consecutive_healthy",
+          "legendFormat": "Consecutive OK",
+          "refId": "B"
+        },
+        {
+          "expr": "timmy_heartbeat_last_tick_age_seconds",
+          "legendFormat": "Last Tick Age",
+          "refId": "C"
+        },
+        {
+          "expr": "timmy_alerts_today",
+          "legendFormat": "Alerts Today",
+          "refId": "D"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "thresholds": {
+            "mode": "absolute",
+            "steps": [
+              { "color": "red", "value": null },
+              { "color": "green", "value": 1 }
+            ]
+          }
+        },
+        "overrides": [
+          {
+            "matcher": { "id": "byName", "options": "Last Tick Age" },
+            "properties": [
+              { "id": "unit", "value": "s" },
+              { "id": "thresholds", "value": { "mode": "absolute", "steps": [{ "color": "green", "value": null }, { "color": "yellow", "value": 900 }, { "color": "red", "value": 1800 }] } }
+            ]
+          },
+          {
+            "matcher": { "id": "byName", "options": "Alerts Today" },
+            "properties": [
+              { "id": "thresholds", "value": { "mode": "absolute", "steps": [{ "color": "green", "value": null }, { "color": "yellow", "value": 1 }, { "color": "red", "value": 5 }] } }
+            ]
+          }
+        ]
+      },
+      "options": {
+        "reduceOptions": { "calcs": ["lastNotNull"] },
+        "colorMode": "background",
+        "graphMode": "none",
+        "textMode": "auto"
+      }
+    },
+    {
+      "id": 13,
+      "title": "④ Local Inference",
+      "description": "Local model call volume and success rate today",
+      "type": "timeseries",
+      "gridPos": { "h": 7, "w": 8, "x": 8, "y": 15 },
+      "targets": [
+        {
+          "expr": "timmy_inference_calls_today",
+          "legendFormat": "Calls: {{model}}",
+          "refId": "A"
+        },
+        {
+          "expr": "timmy_inference_success_rate * 100",
+          "legendFormat": "Success %: {{model}}",
+          "refId": "B"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "color": { "mode": "palette-classic" },
+          "custom": {
+            "drawStyle": "line",
+            "lineWidth": 2,
+            "fillOpacity": 10,
+            "pointSize": 5,
+            "showPoints": "auto"
+          },
+          "unit": "short"
+        },
+        "overrides": []
+      },
+      "options": {
+        "legend": { "displayMode": "list", "placement": "bottom" },
+        "tooltip": { "mode": "multi" }
+      }
+    },
+    {
+      "id": 14,
+      "title": "⑤ Model Health",
+      "description": "Ollama status, models loaded, inference health",
+      "type": "stat",
+      "gridPos": { "h": 7, "w": 8, "x": 16, "y": 15 },
+      "targets": [
+        {
+          "expr": "timmy_ollama_up",
+          "legendFormat": "Ollama Process",
+          "refId": "A"
+        },
+        {
+          "expr": "timmy_ollama_api_up",
+          "legendFormat": "API Responding",
+          "refId": "B"
+        },
+        {
+          "expr": "timmy_ollama_inference_ok",
+          "legendFormat": "Inference OK",
+          "refId": "C"
+        },
+        {
+          "expr": "timmy_models_loaded",
+          "legendFormat": "Models Loaded",
+          "refId": "D"
+        },
+        {
+          "expr": "timmy_dpo_pairs_staged",
+          "legendFormat": "DPO Pairs Staged",
+          "refId": "E"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "mappings": [
+            { "options": { "0": { "text": "DOWN", "color": "red" }, "1": { "text": "UP", "color": "green" } }, "type": "value" }
+          ],
+          "thresholds": {
+            "mode": "absolute",
+            "steps": [
+              { "color": "red", "value": null },
+              { "color": "green", "value": 1 }
+            ]
+          }
+        },
+        "overrides": [
+          {
+            "matcher": { "id": "byName", "options": "Models Loaded" },
+            "properties": [
+              { "id": "mappings", "value": [] },
+              { "id": "thresholds", "value": { "mode": "absolute", "steps": [{ "color": "red", "value": null }, { "color": "green", "value": 1 }] } }
+            ]
+          },
+          {
+            "matcher": { "id": "byName", "options": "DPO Pairs Staged" },
+            "properties": [
+              { "id": "mappings", "value": [] },
+              { "id": "thresholds", "value": { "mode": "absolute", "steps": [{ "color": "blue", "value": null }] } }
+            ]
+          }
+        ]
+      },
+      "options": {
+        "reduceOptions": { "calcs": ["lastNotNull"] },
+        "colorMode": "background",
+        "graphMode": "none",
+        "textMode": "auto"
+      }
+    },
+    {
+      "id": 20,
+      "title": "Agent Activity (24h Commits)",
+      "description": "Commits per agent in the last 24 hours",
+      "type": "bargauge",
+      "gridPos": { "h": 6, "w": 12, "x": 0, "y": 22 },
+      "targets": [
+        {
+          "expr": "timmy_agent_commits_24h",
+          "legendFormat": "{{agent}}",
+          "refId": "A"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "color": { "mode": "palette-classic" },
+          "min": 0,
+          "unit": "short"
+        },
+        "overrides": []
+      },
+      "options": {
+        "reduceOptions": { "calcs": ["lastNotNull"] },
+        "displayMode": "gradient",
+        "orientation": "horizontal",
+        "showUnfilled": true
+      }
+    },
+    {
+      "id": 21,
+      "title": "Sovereignty Over Time",
+      "description": "Track the composite sovereignty score trending over time",
+      "type": "timeseries",
+      "gridPos": { "h": 6, "w": 12, "x": 12, "y": 22 },
+      "targets": [
+        {
+          "expr": "timmy_sovereignty_score",
+          "legendFormat": "Sovereignty Index",
+          "refId": "A"
+        }
+      ],
+      "fieldConfig": {
+        "defaults": {
+          "color": { "fixedColor": "#7b68ee", "mode": "fixed" },
+          "custom": {
+            "drawStyle": "line",
+            "lineWidth": 3,
+            "fillOpacity": 30,
+            "gradientMode": "scheme",
+            "pointSize": 5,
+            "showPoints": "auto",
+            "spanNulls": true
+          },
+          "min": 0,
+          "max": 100,
+          "unit": "none",
+          "thresholds": {
+            "mode": "absolute",
+            "steps": [
+              { "color": "red", "value": null },
+              { "color": "orange", "value": 30 },
+              { "color": "yellow", "value": 50 },
+              { "color": "green", "value": 70 }
+            ]
+          }
+        },
+        "overrides": []
+      },
+      "options": {
+        "legend": { "displayMode": "list", "placement": "bottom" },
+        "tooltip": { "mode": "single" }
+      }
+    }
+  ],
+  "refresh": "30s",
+  "schemaVersion": 39,
+  "tags": ["timmy", "sovereignty"],
+  "templating": { "list": [] },
+  "time": { "from": "now-24h", "to": "now" },
+  "timepicker": {},
+  "timezone": "browser",
+  "title": "Timmy Sovereign Command",
+  "uid": "timmy-sovereign",
+  "version": 1
+}

grafana/provisioning/dashboards/default.yml

@@ -0,0 +1,11 @@
+apiVersion: 1
+providers:
+  - name: "Timmy Dashboards"
+    orgId: 1
+    folder: ""
+    type: file
+    disableDeletion: false
+    updateIntervalSeconds: 30
+    options:
+      path: /var/lib/grafana/dashboards
+      foldersFromFilesStructure: false

grafana/provisioning/datasources/prometheus.yml

@@ -0,0 +1,8 @@
+apiVersion: 1
+datasources:
+  - name: Prometheus
+    type: prometheus
+    access: proxy
+    url: http://prometheus:9090
+    isDefault: true
+    editable: true

prometheus/prometheus.yml

@@ -0,0 +1,23 @@
+# Timmy Prometheus — Sovereign Metrics Collection
+global:
+  scrape_interval: 30s
+  evaluation_interval: 30s
+
+scrape_configs:
+  # Timmy's custom exporter (Gitea, Huey, heartbeat, sovereignty)
+  - job_name: "timmy-exporter"
+    static_configs:
+      - targets: ["exporter:9101"]
+    scrape_interval: 30s
+
+  # Prometheus self-monitoring
+  - job_name: "prometheus"
+    static_configs:
+      - targets: ["localhost:9090"]
+
+  # Ollama metrics (if exposed — ollama serves on host network)
+  # Uncomment once Ollama is confirmed running with metrics
+  # - job_name: "ollama"
+  #   static_configs:
+  #     - targets: ["host.docker.internal:11434"]
+  #   metrics_path: /metrics