构建语音智能体的权衡:Gemini Live与Sandwich架构

Building voice agents can come with tradeoffs. 💬 Better convos w/ speech to speech models Vs 🥪 Mo...

精选理由

LangChain教你如何混用Gemini Live和Sandwich架构,既做出流畅对话又保证任务可靠,实用技巧。

AI 摘要

LangChain介绍语音智能体构建的两种方案:Gemini Live实现低延迟的自然对话,Sandwich架构提供更可靠的流程控制。他们结合Gemini Live、Deep Agents和LangSmith构建了一个语音研究智能体,具备完整追踪与可观测性。该方案同时优化了对话质量和长期研究任务的可靠性。

原文 · LangChain

Building voice agents can come with tradeoffs. 💬 Better convos w/ speech to speech models Vs 🥪 Mo...

Building voice agents can come with tradeoffs. 💬 Better convos w/ speech to speech models Vs 🥪 More reliable harnesses w/ sandwich architecture How to build a voice research agent with both: ✅ Gemini Live: low-latency, natural-sounding convos ✅ Deep Agents: long-running research tasks ✅ LangSmith: full tracing & observability Your browser does not support the video tag. 🔗 View on Twitter 💬 0 🔄 3 ❤️ 7 👀 1861 📊 2 ⚡

构建语音智能体的权衡:Gemini Live与Sandwich架构 · AI 热点