Observed since 20 Oct, 22:49 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
Production observability for Agent OS - OpenTelemetry traces, Prometheus metrics, Grafana dashboards
Production-ready observability stack for Agent OS kernel.
This package provides metrics, tracing, and dashboards for monitoring Agent OS deployments.
pip install agent-os-observability
from agent_os_observability import KernelMetrics, KernelTracer
# Initialize metrics
metrics = KernelMetrics()
# Record policy check
with metrics.policy_check_latency():
result = policy_engine.check(action)
# Record violation
if not result.allowed:
metrics.record_violation(agent_id, action, policy="data-access", severity="high")
metrics.record_blocked(agent_id, action)
# CMVK metrics
metrics.record_cmvk_verification(
result="verified",
confidence=0.95,
drift_score=0.08,
duration_seconds=2.3,
model_count=3
)
# Expose /metrics endpoint (FastAPI example)
from fastapi import FastAPI, Response
app = FastAPI()
@app.get("/metrics")
def get_metrics():
return Response(
content=metrics.export(),
media_type=metrics.content_type()
)
cd packages/observability
docker-compose up -d
# Open dashboards
open http://localhost:3000 # Grafana (admin/admin)
open http://localhost:16686 # Jaeger
open http://localhost:9090 # Prometheus
| Metric | Type | Description |
|---|---|---|
agent_os_violations_total | Counter | Policy violations by agent, action, policy, severity |
agent_os_violations_blocked_total | Counter | Violations blocked (SIGKILL issued) |
agent_os_violation_rate | Gauge | Violations per 1000 requests |
agent_os_policy_check_duration_seconds | Histogram | Policy check latency |
agent_os_signals_total | Counter | Signals sent by type and reason |
agent_os_sigkill_total | Counter | SIGKILL signals by agent and reason |
agent_os_mttr_seconds | Histogram | Mean Time To Recovery |
agent_os_kernel_uptime_seconds | Gauge | Kernel uptime |
| Metric | Type | Description |
|---|---|---|
agent_os_cmvk_verifications_total | Counter | Verifications by result (verified/flagged/rejected) |
agent_os_cmvk_consensus_ratio | Gauge | Current model agreement (0.0-1.0) |
agent_os_cmvk_model_disagreements_total | Counter | Disagreements by model pair |
agent_os_cmvk_drift_score | Histogram | Drift score distribution |
agent_os_cmvk_verification_duration_seconds | Histogram | Verification latency |
agent_os_cmvk_model_latency_seconds | Histogram | Per-model response latency |
| Metric | Type | Description |
|---|---|---|
agent_os_agent_llm_calls_total | Counter | LLM API calls by agent and model |
agent_os_agent_errors_total | Counter | Errors by agent and type |
agent_os_agent_execution_duration_seconds | Histogram | Task execution time |
Main dashboard for SOC teams: violation rate, SIGKILL count, latency, throughput.
ML Ops dashboard: consensus rate, drift scores, model latency, verification results.
AMB (Agent Message Bus): throughput, queue depth, backpressure, delivery latency.
CISO dashboard: 30-day violation count.
python scripts/export_dashboards.py
This creates JSON files in grafana/dashboards/ for Grafana provisioning.
Alert rules are defined in alerts/agent-os-alerts.yaml:
AgentOSHighViolationRate: Violation rate >1%AgentOSSIGKILLSpike: >5 SIGKILL in 5 minutesAgentOSKernelCrash: Kernel panicAgentOSHighPolicyLatency: p99 latency >10msCMVKLowConsensus: Consensus <80%CMVKHighDrift: p95 drift >0.25┌─────────────────────────────────────────────────────────────┐
│ Your Application │
│ ┌──────────────────┐ ┌──────────────────┐ │
│ │ Agent OS │ │ KernelMetrics │ │
│ │ Kernel │──│ .export() │───► /metrics │
│ └──────────────────┘ └──────────────────┘ │
└─────────────────────────────────────────────────────────────┘
│
▼
┌─────────────────────────────────────────────────────────────┐
│ Docker Compose Stack │
│ ┌────────────┐ ┌────────────┐ ┌────────────┐ │
│ │ Prometheus │─►│ Grafana │ │ Jaeger │ │
│ │ :9090 │ │ :3000 │ │ :16686 │ │
│ └────────────┘ └────────────┘ └────────────┘ │
│ │ ▲ ▲ │
│ ▼ │ │ │
│ ┌────────────┐ │ ┌────────────┐ │
│ │AlertManager│ │ │ OTEL │ │
│ │ :9093 │ │ │ Collector │ │
│ └────────────┘ │ └────────────┘ │
│ │ │ ▲ │
│ ▼ │ │ │
│ [Slack/PagerDuty] └───────────────┘ │
└─────────────────────────────────────────────────────────────┘
# Install in development mode
pip install -e ".[dev]"
# Run tests
pytest
# Export dashboards
python scripts/export_dashboards.py
MIT
Download counts and popularity will appear here as the collector receives them.
| Version | Published | Direct dependencies | Open version |
|---|---|---|---|
| 0.2.0 | 27 Jan 2026 | 6 |
This describes our collected data; it is not a security assessment.
Observed since 20 Oct, 22:49 UTC
No superseded metadata states collected. Unchanged observations do not create new revisions.
package:042c01ee1d2eda1e0bf6856e388a1dbc347f29e03c204a3b4d34da4b5b31dece