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 production-focused guide to MLOps, covering evaluation, reliability, safety, cost, and the evidence teams need to make a confident decision.
Read more ›A production-focused guide to Inference-as-a-Service Explained for Developers, covering evaluation, reliability, safety, cost, and the evidence teams need to make a confident decision.
Read more ›A production-focused guide to How to Choose a Cloud GPU for Your AI/ML Projects, covering evaluation, reliability, safety, cost, and the evidence teams need to make a confident decision.
Read more ›A production-focused guide to Misconceptions about GPUs, covering evaluation, reliability, safety, cost, and the evidence teams need to make a confident decision.
Read more ›A production-focused guide to GPU Options for Finetuning Large Models, covering evaluation, reliability, safety, cost, and the evidence teams need to make a confident decision.
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