Creating Voice Agents

Voice agents enable real-time spoken interactions between users and AI agents. A typical voice interaction involves a telephony provider, Voice Gateway, voice models, and the agent runtime. At a high level:

Caller ↔ Telephony Provider ↔ Voice Gateway ↔ Voice Processing ↔ Agent Runtime

The voice processing flow depends on the agent’s voice architecture.

Core Components

Component	Role
Telephony Provider	Establishes inbound or outbound calls and provides phone or SIP connectivity.
Voice Gateway	Connects telephony infrastructure with the agent and manages voice sessions and audio routing.
Voice Models	Process incoming speech and generate spoken responses.
Agent Runtime	Applies agent instructions, maintains context, accesses knowledge, and invokes tools or workflows.

Voice Architectures

Agent Platform supports different voice processing architectures, including: Pipeline Voice — Processes speech through separate speech-to-text (STT), agent/LLM, and text-to-speech (TTS) stages.

Audio → STT → Agent/LLM → TTS → Audio

Realtime LLM Voice — Uses a speech-to-speech (S2S) model for real-time audio interaction with agent and tool integration.

Audio → Realtime S2S Model → Audio

Steps to Enable Voice Interaction

Step 1: Configure Voice Service Credentials

Configure the credentials required by the voice models you plan to use.

Go to: Workspace Settings > AI Configuration > Voice Services
Voice service credentials are managed at the workspace level and can be reused across projects.
Configure credentials based on the voice architecture:
- For Realtime LLM Voice, configure credentials for a supported S2S provider, such as OpenAI Realtime, Google Gemini Live, or Grok Realtime.
- For Pipeline Voice, configure the required STT and TTS service credentials.

For configuration instructions, see Configure Voice Services.

Step 2: Create a Voice Channel

Create a voice channel to make the agent available via voice.

Go to Deployments > Channels
Under Voice, select one of the following:
- Realtime LLM Voice — For real-time conversations using S2S models.
- Pipeline Voice — For voice interactions, using separate STT, agent/LLM, and TTS stages.
Other voice integrations, such as VXML IVR, Genesys Audio Connector, and AudioCodes, are also available. Learn more.

For configuration instructions, see:

Configuring Realtime LLM Voice

When creating a Realtime LLM Voice channel, configure the channel, call routing, and S2S model settings. Learn More.

Provide the basic details.
- Display Name — Enter a name to identify the channel.
- Provider Verification Strength — Specify how strongly the platform trusts identity assertions received from the channel or provider.
Select the Voice Provider used to connect the voice channel with the agent. The Voice Gateway manages the voice session and routes audio between the call connection and the configured voice processing path. Default Voice Provider: Kore.ai Voice Gateway.
Configure Call Routing. Choose how calls reach the voice agent. You can enable one or both of the following routes.
- Soft Phone — Enable Soft Phone to call the agent directly from the browser. Select Launch dialer to start a test call.
- Phone Number (DID) — Enable Phone Number (DID) to connect a real phone number to the voice agent. Select the telephony provider and configure the phone number. For example, when using Twilio, you can purchase and assign a phone number to the channel.
  - Configure the supported call directions: Inbound calls route calls received on the configured number to the voice agent, and Outbound calls allow the configured number to be used for campaign dialout.
Select the S2S Provider that processes the voice interaction. Configure provider-specific settings. Supported providers include:
- Google Gemini Live (S2S)
- Grok Realtime (S2S)
- OpenAI Realtime

Available settings vary by S2S provider. Find more details here.

Configuring Pipeline Voice

Create a Pipeline Voice channel when you want speech processing to use separate stages:

Audio → STT → Agent/LLM → TTS → Audio

Configure the required:

STT service to convert incoming speech to text.
Agent/LLM processing to interpret the request and generate a response.
TTS service to convert the generated response into speech.

Pipeline Voice allows speech recognition and speech generation services to be configured independently. For detailed configuration instructions, see Configure Pipeline Voice.

Step 3: Test the Voice Agent

Before using a production phone number, test the end-to-end voice interaction with the built-in Soft Phone. For a Realtime LLM Voice channel:

Enable Soft Phone.
Select Launch dialer.
Start a call with the agent.
Verify that the agent can receive speech and return audio responses.
Verify tool execution and agent behavior via traces.

After successful testing, configure a Phone Number (DID) when the agent needs to support real inbound or outbound calls.

Agent Level Voice Configurations

By default, RESPOND: blocks in ABL work as-is; the runtime automatically strips markdown and passes clean text to TTS. The VOICE: block is optional and only needed when you want to override the default behavior for a specific step:

RESPOND: "Your appointment is confirmed."
VOICE:
  ssml: "<speak>Your appointment is <emphasis>confirmed</emphasis>.<break time='500ms'/></speak>"
  plain_text: "Your appointment is confirmed."

Use it when you need:

SSML markup — prosody, pauses, emphasis, phonemes
A different spoken version than the text — e.g. RESPOND: has a formatted table but you want a short spoken summary
Voice-specific instructions for real-time providers (OpenAI Realtime / Gemini Live)

Learn More

Agent-level voice defaults

Use a BEHAVIOR_PROFILE to set voice behavior defaults for the whole agent without changing every RESPOND: block.

# voice-optimized.behavior_profile.abl
BEHAVIOR_PROFILE: voice-optimized
PRIORITY: 10
WHEN: context.channel == "voice"
INSTRUCTIONS: "Keep responses under 2 sentences. No bullet points or markdown formatting."
VOICE:
  instructions: "Speak in a warm, conversational tone."
RESPONSE_RULES:
  max_buttons: 0
  fallback_format: plain_text
  max_response_length: 200

To reference it in your agent:

AGENT: SupportAgent
USE BEHAVIOR_PROFILE: voice-optimized

This applies the voice defaults to every response on that channel. Learn More.

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References

Enable voice

Creating Voice Agents

Core Components

Voice Architectures

Steps to Enable Voice Interaction

Step 1: Configure Voice Service Credentials

Step 2: Create a Voice Channel

Configuring Realtime LLM Voice

Configuring Pipeline Voice

Step 3: Test the Voice Agent

Agent Level Voice Configurations

Agent-level voice defaults

​Creating Voice Agents

​Core Components

​Voice Architectures

​Steps to Enable Voice Interaction

​Step 1: Configure Voice Service Credentials

​Step 2: Create a Voice Channel

​Configuring Realtime LLM Voice

​Configuring Pipeline Voice

​Step 3: Test the Voice Agent

​Agent Level Voice Configurations

​Agent-level voice defaults

​Related Pages

Creating Voice Agents

Core Components

Voice Architectures

Steps to Enable Voice Interaction

Step 1: Configure Voice Service Credentials

Step 2: Create a Voice Channel

Configuring Realtime LLM Voice

Configuring Pipeline Voice

Step 3: Test the Voice Agent

Agent Level Voice Configurations

Agent-level voice defaults

Related Pages