Tutorial: Add Explicit Floor Control to AI Voice Apps Using Tencent RTC

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A common frustration with real-time AI voice companions is that automatic silence detection can interrupt users mid-thought, submitting incomplete input to a language model. To address this, a developer tutorial on DEV Community outlines building a TypeScript-based turn coordinator with two input modes: an automatic mode and a hold mode that waits for the user to manually trigger a response. The guide uses Tencent RTC as the voice transport layer, which supports connections to multiple LLM providers including OpenAI-compatible models. The coordinator is designed to handle edge cases such as stale LLM responses, network disconnects, and synthesis failures without silently resetting conversation state. The core principle is that a user's pause should be treated as an observation, not automatic consent to submit a query.

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