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.
Tool calling is a protocol, not magic. Build the loop with validation, permissions, idempotency, parallelism, recovery, and trace-based evaluation.
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Read more ›Instrument an AI agent with OpenTelemetry using useful trace boundaries, GenAI attributes, model and tool spans, secure OTLP export, sampling, and production verification.
Read more ›A step-by-step guide to building an AI FAQ chatbot on top of your existing docs, from ingestion and retrieval to evaluation and safe rollout.
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