Voice Support Bot
Real-time voice transcription and response
Combine a speech-to-text layer with an LLM to handle phone-based customer support calls end-to-end. The model transcribes speech, understands intent, queries your knowledge base, and generates natural-language responses fed back through text-to-speech.
GPT-4o Mini
for 1,500K tokens/month · 55% input / 45% output
WHY THIS MODEL
GPT-4o Mini balances natural language quality with extremely low per-token cost, making it ideal for support automation where you need conversational fluency at high volume. It handles routine queries with consistent tone and avoids the hallucinations that plague smaller models.
ALTERNATIVE MODELS
IMPLEMENTATION TIPS
- 1
Use streaming responses to start text-to-speech synthesis while the LLM is still generating — this cuts perceived latency from 2–3 seconds to under 500ms for the first word.
- 2
Implement turn detection carefully: send partial transcripts to the LLM with a 'IS_COMPLETE' flag so the model can start processing before the caller finishes speaking on predictable phrases.
- 3
Keep the LLM's job narrow: handle intent detection and answer generation separately from speech processing, so you can swap in better ASR or TTS providers independently.