AI AGENT AUTOMATIONS
Agent Observability & Monitoring
See inside your agents with production-grade observability
Implement comprehensive observability for your AI agents—tracing, monitoring, alerting, and debugging tools that give you full visibility into agent behavior in production.
How it works — and what you walk away with
When an AI agent fails in production, you need to know exactly what happened. Traditional logging isn't enough—you need to trace the full reasoning chain, understand tool execution, and correlate across distributed systems.
Our Observability Platform service implements production-grade monitoring specifically designed for AI agents. We go beyond basic metrics to capture the unique observability needs of LLM-based systems: prompt/response pairs, reasoning traces, tool execution logs, and token usage analytics.
The result is a observability stack that lets you debug issues in minutes instead of hours, with proactive alerting before users notice problems.
What you get
Instrumentation Library
Drop-in library for instrumenting your agents with minimal code changes
Dashboard Templates
Pre-built Grafana/Datadog dashboards for common observability needs
Alert Runbooks
Documented procedures for responding to common alert conditions
Cost Analytics
Detailed cost tracking and optimization recommendations by agent and feature
What's included
Distributed Tracing
End-to-end traces showing the full agent reasoning chain across services
LLM-Specific Metrics
Token usage, latency percentiles, success rates, and cost tracking per agent
Prompt/Response Logging
Structured logging of all LLM interactions with search and filtering
Tool Execution Monitoring
Detailed logging of tool calls, parameters, results, and timing
Anomaly Detection
Automated detection of unusual agent behavior, response patterns, or error rates
Custom Dashboards
Role-specific dashboards for operators, developers, and executives
Who this is for
Production Operations Teams
Teams responsible for keeping AI agents running reliably in production
Cost-Conscious Organizations
Teams needing to track and optimize AI API costs at scale
Debugging Complex Issues
Organizations struggling to diagnose agent failures or unexpected behavior
Frequently asked questions
Related services
Agent System Audit
A thorough evaluation of your existing AI agent systems, identifying performance bottlenecks, reliability issues, and optimization opportunities.
Operations Automation Playbook
A comprehensive playbook for integrating AI agents with your enterprise systems—CRMs, ERPs, databases, APIs, and more—with security and governance built in.
Ready to start Agent Observability & Monitoring?
Share your situation and AI Agent Automations will scope it with you — takes about two minutes.