> ## Documentation Index
> Fetch the complete documentation index at: https://docs.movoice.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Latency metrics

# Latency Metrics Guide

In voice AI, **Latency** is the time difference between the user finishing a sentence and the AI agent starting to speak. High latency breaks the conversational flow and makes it feel robotic.

## Understanding the Latency Stack

1. **ASR Latency**: Time to transcribe speech to text.
2. **LLM Latency**: Time for the "Brain" to think and generate the first token of the response.
3. **TTS Latency**: Time to turn that text into audio tokens.
4. **Network Latency**: Time for all this data to travel over the internet.

## How we optimize for \< 500ms

Movoice AI uses several techniques to achieve industry-leading response times:

* **Streaming**: We "stream" results from each layer. As soon as the first token of a sentence is ready from the LLM, it's sent to the TTS.
* **Edge Deployment**: Our servers are deployed close to telephony gateways to minimize network travel.
* **Small Models**: Using models like `GPT-4o-mini` or `Llama 3 8B` significantly reduces "Time to First Word."

## Monitoring Your Agent

You can see real-time latency metrics for every call in the **Analytics Tab**. Look for the **TTFB (Time to First Byte)** metric.

### Recommendations for Low Latency

* Use **Deepgram Aura** or **Sarvam AI** for TTS.
* Keep your **System Prompts** clean and efficient.
* Use **Streaming Mode** (Enabled by default in Movoice AI).