Blog
Highlights from the Currai blog: the posts worth reading first.
A complete, code-first guide to turning OpenAI Realtime voice conversations and text-to-speech generations into readable Currai User Stories and correctly nested traces.
A step-by-step guide to importing completed Retell AI calls into Currai with signed call-ended webhooks—without adding capture code to the live voice agent.
A step-by-step guide to importing completed Vapi calls into Currai with an authenticated webhook—without adding capture code or sharing a Vapi private API key.
Browse implementation notes, observability guides, product decisions, and workflow ideas by topic.
Observability data is high-volume and append-heavy — the classic case for running ClickHouse yourself. Here's the real trade-off between self-hosting and a managed backend.
Read moreProduction traces carry prompts full of user data and arrive at full traffic volume. Here's how to sample for cost and redact for privacy without losing the traces you need.
Read moreA single runaway prompt or retry loop can 10x your bill overnight. Here's how to turn the cost data on your traces into budgets and alerts that warn you before the invoice does.
Read moreYour LLM calls don't all live in Python. Currai ingests traces over plain HTTP and OTLP, so any language that can make a request can send traces — here's how.
Read moreA chatbot that works for one message often breaks by message seven. Here's how to trace a full conversation — sessions, history, and cost — so you can debug the whole thread.
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