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.
Test Jev on labeled decisions, tune thresholds by consequence, and separate classification quality from the outcome of the complete agent workflow.
Read more ›A router is only as good as the workload and evaluators used to train, tune, and verify its quality-cost decisions.
Read more ›Compare search agents by answer quality, evidence, freshness, search depth, latency, cost, and recovery on your own research workload.
Read more ›Public benchmarks describe average capability. Your own prompts, tools, data, and failure costs determine which model should ship.
Read more ›