多模态 / NAVIN RESEARCH
Build Safer Real-Time Voice Agents
Handle latency, interruptions, turn detection, tool calls, consent, and fallback in live voice systems.
Handle latency, interruptions, turn detection, tool calls, consent, and fallback in live voice systems.
简要回答: A voice agent needs an explicit real-time state machine. Track listening, thinking, speaking, interrupted, tool-pending, and ended states. Make interruption immediate, keep tool actions separately authorized, and provide a visible or audible route to a human.
实施步骤
- Set latency budgets for capture, inference, tools, and playback.
- Implement barge-in and cancel queued audio on interruption.
- Confirm identity and intent before sensitive actions.
- Summarize completed actions and expose correction paths.
验证清单
- Test background speech, packet loss, echo, and rapid interruptions.
- Verify a cancelled utterance cannot trigger a delayed tool call.
- Measure task success and user correction rate, not only response speed.
常见错误
- Treating silence as consent.
- Allowing spoken content to bypass tool policy.
- Hiding that the user is interacting with AI.
实际决策
先交付能够通过上述检查的最小设计。记录测试中使用的模型、提示词、工具、数据集与运行时版本，让后续变化可以被比较而不是被猜测。依赖供应商的限制、模型名称、价格或预览功能之前，请重新检查链接文档；这些细节变化往往快于本文的工程原则。
