Intelligent end-to-end monitoring for AI agents

Holistic full-trace evals

Evaluate the entire agent workflow — tools, sub-agents, and everything in between — to find failures, detect regressions, and suggest improvements before they impact users.

Intelligent codebase understanding

Sentinel stays in sync with your version control, learns how your agents are built, and surfaces when they perform well or need attention.

Automatic logic flaw detection

Automatically flags critical issues like infinite loops, incorrect tool selection, and broken agent flows — before they reach production. Get instant diagnostics on what's wrong and why.

Root cause diagnostics

Don't just see that an agent failed — understand the root cause. Sentinel analyzes tool calls, sub-agent interactions, and decision points to pinpoint exactly where logic breaks down.

Actionable improvement suggestions

Get specific, actionable recommendations to enhance your agents. Sentinel suggests prompt improvements, tool optimizations, and workflow enhancements based on real execution patterns.

Safe regeneration sandbox

Test fixes instantly in an isolated environment. Try different prompts, swap tools, or adjust agent behavior — all without risking production. See what works before you commit.