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AI agent observability

See what your AI agents are really doing

Understand every action, chain, and decision your AI agents make. Openlayer provides observability purpose-built for agentic systems, so teams can monitor behaviors, detect risks, and maintain control as agents evolve.

Core features

Full visibility into every agent interaction

Openlayer delivers unified observability across autonomous workflows, tracing every request, decision, and tool call in context. From performance metrics to risk signals, gain the insights needed to operate agentic systems safely at scale.

End-to-end tracing

End-to-end tracing

Visualize decision chains and multi-step reasoning across tools, APIs, and data sources.

Real-time monitoring

Real-time monitoring

Track performance, latency, and anomalies as agents run in production.

Risk and behavior analytics

Risk and behavior analytics

Surface issues like prompt injection attempts, bias patterns, or unintended tool usage.

Custom metrics

Custom metrics

Build organization-specific metrics and thresholds to match internal reliability standards.

Why it matters

Observability is trust in motion

Agentic systems are dynamic, continuously learning, adapting, and interacting with external systems. Without visibility, you lose control over how decisions are made. Observability ensures every output can be explained, audited, and improved, giving teams the confidence to scale safely.

Use cases for agent monitoring

Use Cases

Why Openlayer

The observability layer built for agentic systems

Openlayer brings security, transparency, and control to complex AI agent pipelines. By unifying tracing, analytics, and automated alerts, it helps teams maintain situational awareness and operational trust.

Frequently asked questions

FAQ

Customers

Trusted by teams who monitor with confidence

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Observe and trust your agentic systems

The AI governance platform for trust and control

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