Use cases
Reliability monitoring for how you ship AI
Whether you run multi-step agents or a single completion endpoint, Puse traces every call and alerts on regressions before users notice.
AI agents & tool loops
Catch silent failures in multi-step agent runs before users churn.
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Cost regression monitoring
Detect retry loops and model drift that burn budget overnight.
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Production reliability
SRE-grade error rates and latency SLOs for LLM features.
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Production LLM features
Ship chat, RAG, or agent workflows with confidence. Per-project dashboards show request volume, error rate, p95 latency, and spend over 24 hours or 7 days. When something breaks at 3am, Slack tells you why — not your churned customer.