LLM observability
Full visibility into your LLM pipelines
Trace system behavior, monitor cost and latency, and catch failures before your users do.
Trace every interaction
Get full visibility into every step of your LLM pipeline, from initial prompts to intermediate tool calls and final responses.
Monitor your live system
Keep tabs on prompt injection, toxic output, and data leaks. Continuously run safety and performance tests on live requests.
Instant alerts
Receive real-time notifications when something breaks—whether it’s latency spikes, hallucinations, or inappropriate content.
Track latency and cost
Identify bottlenecks or expensive operations across RAG, agent workflows, and retrieval systems. Optimize where it matters.
Why it matters
When LLM systems fail, your reputation is at risk
From toxic outputs to latency spikes and cost overruns, LLM-based systems present unique production challenges. Observability helps you trace, debug, and optimize your GenAI pipelines before things escalate.
Use cases
Observability for dynamic LLM workflows
Whether you're orchestrating agents, building retrieval-augmented generation (RAG) systems, or fine-tuning internal copilots, Openlayer gives you full visibility into system behavior, cost, and latency.
Why Openlayer
Built for modern GenAI operations
Integrations
Works across your GenAI stack
Openlayer integrates with OpenAI, LangChain, Anthropic, OpenTelemetry, and more. Connect to tracing tools and cloud infra. Deploy with zero vendor lock-in.
Customers
Visibility that builds trust
“We debugged a prompt injection issue in minutes—not days. Our GenAI systems are safer because of Openlayer.”
VP of Engineering at Healthcare Institution
FAQs
Your questions, answered
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