Agent run tracing
Inspect every agent execution end-to-end — inputs, outputs, tool calls, model invocations, and latency breakdowns. Drill down to the individual request level.
Observe
Know what your AI is doing. Right now.
Knowing what exists is not enough. Octic provides runtime observability for AI agents in production — tracing every execution, detecting behavioral drift, and flagging policy violations before they become incidents.
How observability works
Runtime intelligence, not just runtime logs.
Drift detection
Octic baselines normal agent behavior and alerts when something changes. New tool calls, unexpected model switches, or unusual data access patterns surface immediately.
Real-time policy enforcement
Policies defined in the trust layer are evaluated continuously against live agent behavior. Violations trigger alerts and can auto-update sanctioning status.
Unified agent dashboard
A single view of agent health, performance, and risk across your entire stack. See which agents are running, how often, and whether they are operating within policy.
Latency and cost tracking
Track token usage, response times, and compute costs per agent. Identify expensive or slow agents before they impact production budgets.
Anomaly detection
Machine-learning-based anomaly detection flags agents that deviate from expected patterns — elevated error rates, data exfiltration signals, or sudden volume spikes.
The platform
Explore the rest of Octic.
See what's running in your AI stack.
Get a live map of every AI agent, MCP server, and API endpoint in your environment — in under 30 minutes.
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