How to Build a Voice Agent with LangChain: Architecture, Streaming, Tools, and Production Patterns
Building a voice agent is not simply a matter of connecting speech-to-text to an LLM and adding text-to-speech.
A production voice agent has to solve a harder problem:
How do you make an AI system listen, reason, use tools, remember context, and respond quickly enough that the conversation still feels natural?
LangChain can handle the agent and tool-orchestration layer, but the realtime experience depends heavily on what happens around it.
