LLM monitoring
LLM monitoring that goes beyond logs
Openlayer helps teams monitor large language model systems in real time—detecting failures, tracing outputs, and managing costs across applications.
Why monitoring LLMs is harder than it looks
Black-box models need white-glove monitoring
LLMs are non-deterministic, prompt-sensitive, and context-dependent. Without visibility into prompts, responses, and costs—teams are flying blind in production.
What to monitor in LLM systems
Stay ahead of hallucinations, delays & escalating costs
Openlayer's approach
Monitoring built for the nuances of LLMs
Monitor across chains, tools, and agent flows
Set thresholds for latency, cost, and output length
Alert on broken prompt chains or bad generations
View run history and compare performance over time
Works with OpenAI, Anthropic, open source models, and orchestrators like LangChain
FAQs
Your questions, answered
$ openlayer push