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.
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.
Public benchmarks describe average capability. Your own prompts, tools, data, and failure costs determine which model should ship.
Read more ›Evaluate a composable agent harness by its architecture, sandbox boundary, permissions, plugin supply chain, observability, and operational maturity.
Read more ›Compare personal voice assistants by conversation, task execution, ecosystem access, privacy, latency, recovery, and the effort required from the user.
Read more ›Evaluate business voice-agent platforms by telephony, conversation control, tools, testing, monitoring, compliance, economics, and production evidence.
Read more ›Route by task, quality threshold, latency, cost, and risk—then verify every routing policy against real workloads and production outcomes.
Read more ›