AI Agent Monitoring for Production
Monitor AI agent fleets in production with full Think → Act → Observe traces. Stream runs live, jump to failed agent calls, and debug without black boxes.
See what agents actually did—not just outputs
Reduce MTTR on failed agent runs
No scattered logs across tools
Built for ops teams—not just developers
Why Choose Viksa for AI Agent Monitoring?
Production agentic ops with full traces—not just orchestration demos
How AI Agent Monitoring Works on Viksa
Build Agents
Author Python agents with the SDK and register them as first-class tasks on the platform.
State the Goal
Describe outcomes in natural language—no workflow canvas or brittle DAG required.
Think → Act → Observe
Viksa executes, verifies outcomes, self-corrects on failure, and streams full traces for every run.
AI Agent Monitoring Use Cases
Agent Fleet Monitoring
Monitor entire agent fleets with fleet-wide observability. Stream runs, track success rates, and debug failures across agents from a single pane of glass.
Automated Incident Response
Run observable incident runbooks with Think → Act → Observe execution. Viksa replans agent order at runtime, streams full traces, and escalates to operators via Volt in Slack when approval is needed.
Platform Ops Automation
Automate cluster health, service restarts, and capacity checks with observable Python agents. State goals in natural language—Viksa executes Think → Act → Observe until metrics are green.
Explore More Viksa Capabilities
Ready to Get Started with AI Agent Monitoring?
Ship ai agent monitoring to production with full traces and operator oversight.
Get Started