How to use Currai with OpenAI Realtime voice and TTS
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.
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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.
A practical framework for selecting models by quality, latency, cost, and reliability on the work your users actually send.
Read more ›A practical playbook for turning production agent conversations into user intelligence, product decisions, and measurable improvements.
Read more ›Monitor effectiveness, compliance, tools, and infrastructure together so every alert includes the evidence needed to act.
Read more ›Protect voice-agent data across capture, transport, storage, access, tools, monitoring, and retention without confusing privacy with lower volume.
Read more ›Use Terminal-Bench 2.0 responsibly: pin the agent harness, preserve execution traces, repeat runs, analyze failures, and complement benchmark scores with product tasks.
Read more ›