Building a Real-Time AI Voice Agent That Handles 70+ Languages

Short summary

The author built RingBot, a model-agnostic real-time voice agent platform supporting 70+ languages for small business telephony. The system routes calls across GPT Realtime, Gemini Live, and Grok Voice based on trade-offs in latency, language coverage, and task complexity. The harder engineering challenges turned out to be surrounding infrastructure: cross-language knowledge retrieval, intent routing, conversation state management for human handoffs, and per-language latency monitoring — not the model layer itself.

• •Real-time end-to-end voice models cut latency vs traditional STT-LLM-TTS pipelines
• •Model-agnostic routing lets you pick the best model per call and switch mid-conversation
• •The unsolved problems are infrastructure: cross-language retrieval, intent routing, and handoff state management

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