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tutorials · 1 min read

Tutorial: Build a Voice Agent for Customer Calls

Wire up speech-to-text, an LLM agent and text-to-speech into a working voice agent that handles inbound calls.

BABhogar AI TeamProduct & Engineering

Voice agents are no longer exotic. This tutorial wires STT, an LLM agent and TTS into a production-quality voice agent.

Why it matters

You will configure call ingestion, hand off to an LLM agent with tools, and stream TTS back. End-to-end latency under one second is achievable.

How Bhogar AI approaches it

Configure SIP / Twilio ingestion, attach to agent canvas, configure tools, configure TTS voice, test with sample calls, monitor.

  • SIP or Twilio call ingestion
  • Agent canvas with knowledge tools
  • Streaming TTS configuration
  • End-to-end latency monitoring
  • Test with sample calls

What you get

A working voice agent with sub-second latency, full tool access and complete observability.

See Bhogar on your own data

Book a 45-minute working session. We connect one of your sources, build one agent, run one governed workflow, and review the trace together.