AI Agent Operations Platform

Your agents
run at night.
Sentinel watches.

SentinelOps is the autonomous ops layer for AI agent infrastructure. It watches your agents 24/7, catches failures before they compound, prevents runaway costs, and acts — not just reports.

sentinel-agent v0.9.1 running
03:17:04 WATCH Monitoring 12 agent sessions across 4 clusters
03:17:22 OK Invoice-agent — 847 spans, 0 errors, $0.034
03:17:31 OK Research-agent — 2,241 spans, 0 errors, $0.089
03:18:03 WARN Support-agent — loop detected (retry #7 same tool)
03:18:03 ACT Restarting loop handler — escalation to human
03:18:12 OK Loop resolved — $6.40 saved vs runaway estimate
03:19:00 SYS Cost alert: billing-agent at 89% budget threshold
03:19:01 ACT Throttling to 1 concurrent request — resume at 06:00
03:20:00 IDLE
Live Trace session_9f3a2 · support-agent · OpenAI gpt-4o
847 spans
$0.034 cost
2.1s p95
support-agent
1,203ms
classify_ticket
214ms
retrieve_kb
381ms
→ search_tickets
142ms
→ fetch_knowledge_base
239ms
generate_response
608ms
Every span is logged, scored, and auditable. Anomalies trigger automated actions — no dashboard required.

Observability tells you what broke.
Sentinel tells you what to do.

Session Replay

Rewind any agent session to the exact step where behavior diverged. Not just what happened — why it happened.

Loop Detection

Infinite retry loops can cost thousands per hour. Sentinel catches them in real-time and intervenes before budgets burn.

Cost Governance

Per-agent budgets, automatic throttling, and spend attribution by session, tool, and model. Finance teams love this.

Policy Enforcement

Define what your agents can and cannot do. Sentinel enforces boundaries at runtime — not just in documentation.

Behavioral Alerts

Surface drift, quality degradation, and compliance violations before they hit your users. Not reactive — proactive.

Multi-Agent Tracing

Watch handoffs between agents. Understand where context degrades, where tools fail, and where decisions get noisy.

03:14 AM — A run-away billing agent

Without SentinelOps: $4,200 in 40 minutes.

A billing agent entered an infinite tool-call loop at 2:34 AM. By 3:15 it had consumed 1.2M tokens and sent 3,000 emails to test addresses. Nobody noticed until the invoice arrived.

With SentinelOps: $0 in 41 seconds.

Loop detected at span 12. Automatic throttle engaged at span 15. Human notified at span 18. Total cost: $0.034. Total time: 41 seconds.

02:34:11 ERR billing-agent — tool call #12 same endpoint
02:34:12 ACT loop detected — stopping after 12 spans
02:34:12 ACT throttle applied — max 1 req/s per agent
02:34:13 NOTIFY alert sent to florian@company.com
02:34:14 AUDIT incident logged — 1,847 spans retained
02:34:55 RESOLVED billing-agent resumed — span 13 cleared
Saved this incident $4,199.66
Why SentinelOps

Every agent team hits the same wall.

You ship the agent. It works great in staging. Then in production it loops, burns budget, makes wrong decisions at 3 AM, and you find out from a customer.

Existing tools give you traces. Traces show what happened. SentinelOps shows what will happen — and acts first.

It's the difference between a security camera and a security guard. One records what went wrong. The other prevents it.

Built for engineers who've felt this pain. Not for executives who want a dashboard. For the person who gets the 3 AM call.

Your agents are already running.
Give them something that watches back.

SentinelOps integrates in minutes. OpenTelemetry-native. Works with LangChain, OpenAI Agents SDK, CrewAI, and any framework that speaks traces.

OpenTelemetry LangChain CrewAI OpenAI SDK Python TypeScript