Agent的意义，是为这个大脑装上“手脚”，让其不仅能思考，还能调用工具、访问系统、操作软件，完成一连串具体步骤。比如，把“帮我做一份行业报告”拆解为自动搜索资料、筛选信息、整理数据、生成图表、排版成文档并发送邮件，形成完整闭环。
In voice systems, receiving the first LLM token is the moment the entire pipeline can begin moving. The TTFT accounts for more than half of the total latency, so choosing a latency-optimised inference setup like Groq made the biggest difference. Model size also seems to matter: larger models may be required for some complex use cases, but they also impose a latency cost that's very noticeable in conversational settings. The right model depends on the job, but TTFT is the metric that actually matters.
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