Introduction to conversational agents

A conversational agent is software that talks with your end customers in natural language to get something done, answer a question, collect information, complete a transaction, or hand off to a human. Instead of navigating a menu or filling a form, the customer simply speaks or types, and the agent responds.

Voice Agents is built to run these agents across India’s languages, on the channels your customers already use.

Voice and chat

Agents operate in one of two primary modalities:

Modality	The customer…	Typical latency budget	Notes
Voice	Speaks and listens	Sub-second, turn-by-turn	Runs a real-time ASR → LLM → TTS loop (see Models)
Chat	Types and reads	Relaxed	Text-in, text-out; supports richer message types

The same underlying agent design, prompts, tools, knowledge, variables, powers both. What changes is how the customer sends and receives turns.

Channels of deployment

An agent is authored once and can be deployed to multiple channels:

Telephony: inbound and outbound phone calls (see Telephony)
Website / embedded widget: a voice or chat widget on your web app (see Deploy with code)
WhatsApp: chat over WhatsApp
API & SDK: drive the agent directly from your own application (see Deploy with code)

Where to go next

Models

The constellation of models behind a voice agent.

The harness

Context, tools, and the agentic loop that wraps the models.