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.
Instrument open-source custom GPT apps across prompts, retrieval, tools, models, sessions, tokens, and cost, then build offline and production evaluations.
Read more ›Compare the seven main types of chatbots, where each works well, and the production evaluations that reveal which architecture fits your users.
Read more ›Compare ten customer support channels by urgency, complexity, cost, privacy, accessibility, and the evidence needed to improve service quality.
Read more ›Evaluate text-to-SQL agents with execution accuracy, result equivalence, schema grounding, safety, clarification, latency, cost, and production traces.
Read more ›A production-focused guide to Vertex AI, covering evaluation, reliability, safety, cost, and the evidence teams need to make a confident decision.
Read more ›