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For comparison, the equivalent configuration in Vapi - using the same STT, LLM, and TTS models - estimates around ~840ms. In this setup, the custom orchestration actually beats Vapi's own estimates by about 50ms.
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Cognitive load. Around 8 agents is my practical max. Past that, I lose track of what each one is doing and design decisions suffer. When I have to prompt an agent to “summarize its work” I know I need to dial it back.
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此外,HSD系统还融合了视觉语言大模型(VLM)作为“通识外挂”,以增强系统对复杂交通场景标识(如潮汐车道、施工警示等)的理解能力,并引入了强化学习算法,让系统通过数据驱动不断优化。