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# Monitor AI applications

Monitor health, performance, cost, quality issues, and security posture across all AI applications. Use it to spot changes early, prioritize what to investigate, and validate that fixes improve outcomes across your AI library.

Scope

This section covers apps and services you build and instrument with OpenTelemetry — AI agents, chatbots, LLM-based applications, and similar. If you are monitoring external developer tools such as Claude Code or Codex CLI, see [Code Agents Intelligence](https://coralogix.com/docs/docs/user-guides/ai/code-agents/.md) instead.

## Monitoring as part of a complete platform for AI reliability[​](#monitoring-as-part-of-a-complete-platform-for-ai-reliability "Direct link to Monitoring as part of a complete platform for AI reliability")

AI Center combines Observability, Guardrails, Evaluations, and AI SPM into a unified set of tools. Monitoring gives you a bird's-eye view of every LLM in your organization and the ability to drill down to a specific interaction. Guardrails intercept problems in real time before they reach users. Evaluations assess quality, safety, and compliance. AI SPM scans your GitHub repositories to discover and instrument all AI in use.

## Monitoring views[​](#monitoring-views "Direct link to Monitoring views")

AI Center provides three complementary views for monitoring your applications:

* The **Overview** page shows insights about all applications across the organization.
* The **Application Catalog** provides a list of all applications and allows sorting the table to compare them.
* Each **Application Drilldown** lets you view key metrics for a specific application.

## Drill down from a team-wide view to an individual interaction[​](#drill-down-from-a-team-wide-view-to-an-individual-interaction "Direct link to Drill down from a team-wide view to an individual interaction")

Start at the team level to see which applications have the most errors, the highest latency, or the highest cost. Move to a specific application to compare versions or track trends. Then drill into [AI Explorer](https://coralogix.com/docs/docs/user-guides/ai/explorer/.md) to inspect the exact prompt, response, token count, and evaluation results for any single LLM call.

## Monitoring works alongside Guardrails and Evaluations[​](#monitoring-works-alongside-guardrails-and-evaluations "Direct link to Monitoring works alongside Guardrails and Evaluations")

When monitoring surfaces a problem — a spike in errors, a latency regression, a cost anomaly — Guardrails let you act in real time, intercepting harmful or low-quality responses before they reach users. Evaluations help you assess whether quality or safety has degraded. Together, these tools close the loop from detection to prevention.

## Next steps[​](#next-steps "Direct link to Next steps")

Explore health, performance, cost, and latency across all your AI applications with [Monitor your applications](https://coralogix.com/docs/docs/user-guides/ai/app_catalog/.md).