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.
Voice naturalness is more than one score. Evaluate prosody, latency, turn-taking, interruptions, intelligibility, and task fit on real conversations.
Read more ›Test modern agent interfaces end to end: multi-turn chat, uploaded files, tool discovery, permissions, citations, task completion, and failure handling.
Read more ›Adapt chat workflows for voice with shorter turns, explicit context, fewer options, progressive confirmation, and measurable recovery behavior.
Read more ›Trace agent memory reads and writes, then evaluate retrieval, freshness, contradiction handling, privacy, usefulness, latency, and cost.
Read more ›Evaluate reusable agent skills as behavioral interfaces: test activation, instructions, tool use, outcomes, robustness, latency, and cost.
Read more ›