Agent Configuration

Complete reference for all agent configuration parameters available in the Voice AI API.

Prerequisites: API key

Overview

Agent configuration consists of:

Root-level parameters - name and kb_id are set at the root level of create/update requests
config object - Contains conversation style, voice settings, timing controls, and integrations

All configuration parameters are optional (except name when creating) - the system uses sensible defaults for any omitted fields.

Status Management: Agent status (paused, deployed, disabled) cannot be updated directly through the update endpoint. Use the dedicated endpoints: Deploy Agent, Pause Agent, or Delete Agent.

Agent-Level Parameters

These parameters are set at the root level of agent create/update requests, not inside the config object:

Parameter	Type	Required	Description
`name`	string	Yes (create), No (update)	Agent name. Must be at least 1 character.
`kb_id`	number	No	Knowledge base ID to assign to the agent. Set to an existing knowledge base ID to assign it, or `null` to remove the knowledge base. See Knowledge Base Management.

Configuration Structure

When creating or updating an agent, the request structure is:

{
  "name": "My Agent",
  "config": {
    "prompt": "You are a helpful assistant...",
    "greeting": "Hello! How can I help you?",
    "llm_temperature": 0.7,
    "llm_model": "gemini-2.5-flash-lite",
    "tts_min_sentence_len": 20,
    "tts_params": {
      "voice_id": "abc",
      "temperature": 1.0
    },
    "allow_interruptions": true,
    "min_silence_duration": 0.55,
    "phone_number": "+14155551234",
    "mcp_servers": [...]
  },
  "kb_id": 123
}

The config object contains all behavioral parameters. The kb_id parameter is set at the root level to assign a knowledge base to the agent.

Core Conversation Parameters

Parameter	Type	Default	Description
`prompt`	string	`null`	Custom instructions that define the agent’s personality, role, and behavior. This is the system prompt sent to the LLM.
`greeting`	string	`null`	Initial message the agent speaks when a call starts. If not provided, the agent will start with a default greeting.
`llm_temperature`	number	`0.7`	Controls the creativity/randomness of the LLM responses. Range: 0.0-2.0. Lower values (0.0-0.5) = more focused and deterministic. Higher values (1.0-2.0) = more creative and varied.
`llm_model`	string	`"gemini-2.5-flash-lite"`	The language model to use. Options: `"gpt-4o-mini"`, `"gemini-2.5-flash"`, `"gemini-2.5-flash-lite"`, `"gpt-4o"`, `"gemini-2.5-pro"`.

Voice & Speech Parameters

Parameter	Type	Default	Description
`tts_min_sentence_len`	number	`20`	Minimum sentence length (in characters) before TTS starts streaming audio. Lower values = faster response time but more choppy audio. Higher values = smoother audio but longer wait time.
`tts_params`	object	See TTS Parameters	Nested object containing voice and TTS generation settings.

TTS Parameters

The tts_params object contains voice-specific settings:

Parameter	Type	Default	Description
`voice_id`	string	`null`	ID of the voice to use. Get available voices from List Voices endpoint. If not provided, uses default voice.
`temperature`	number	`1.0`	Sampling temperature (0.0-2.0). Higher values make output more random. Controls voice variation and expressiveness.
`top_p`	number	`0.8`	Nucleus sampling parameter (0.0-1.0). Controls diversity of output.

Interruption & Turn-Taking

Parameter	Type	Default	Description
`allow_interruptions`	boolean	`true`	Whether users can interrupt the agent while it’s speaking. When `false`, users must wait for the agent to finish.
`allow_interruptions_on_greeting`	boolean	`false`	Whether to allow interruptions during the greeting message. Useful for impatient callers.
`min_interruption_words`	number	`1`	Minimum number of words required for an interruption to be recognized. Range: 0-10. `0` = any speech triggers interruption, `1+` = requires that many words.
`auto_noise_reduction`	boolean	`true`	Enable automatic noise reduction based on environment detection. Improves speech recognition in noisy environments.

Timing & Endpointing

These parameters control when the system detects speech start/end and manages conversation flow:

Parameter	Type	Default	Description
`min_silence_duration`	number	`0.55`	Minimum duration of silence (seconds) before considering speech has ended. Lower = more responsive but may cut off slow speakers.
`min_speech_duration`	number	`0.5`	Minimum duration of speech (seconds) required to trigger an interruption. Prevents false interruptions from brief sounds.
`min_endpointing_delay`	number	`0.5`	Minimum delay (seconds) before considering speech has ended. Works with `min_silence_duration` for endpointing.
`max_endpointing_delay`	number	`3.0`	Maximum delay (seconds) before forcing speech to end. Prevents long pauses from blocking conversation.
`vad_activation_threshold`	number	`0.5`	Voice activity detection threshold. Range: 0.0-1.0. Lower = more sensitive (detects quieter speech), higher = less sensitive (requires clearer speech).
`user_silence_timeout`	number	`10.0`	Seconds of user silence before agent prompts to check if user is still there. Helps detect dropped calls or disengaged users.
`max_call_duration_seconds`	number	`null`	Maximum call duration in seconds. `null` = no limit. Useful for limiting costs or enforcing time constraints.

Agent Control Permissions

Parameter	Type	Default	Description
`allow_agent_to_end_call`	boolean	`false`	Whether the agent can end calls via tool calls or timeout. When `true`, agent can proactively end conversations.
`allow_agent_to_skip_turn`	boolean	`false`	Whether the agent can skip turns and yield conversation control. Useful for multi-party scenarios.

Phone Number

Parameter	Type	Default	Description
`phone_number`	string	`null`	Assigned phone number in E.164 format (e.g., `"+14155551234"`). Must be a number from your available phone numbers. See Phone Number Management.

Integrations

MCP Servers

Parameter	Type	Default	Description
`mcp_servers`	array	`null`	List of Model Context Protocol (MCP) server configurations. Allows agents to connect to external tools and data sources. See Model Context Protocol for details.

Each MCP server configuration includes:

name (string, required) - Human-readable name
description (string, optional) - Server description
url (string, required) - MCP server endpoint URL
auth_type (string, optional) - Authentication type: "none", "bearer_token", "api_key", "custom_headers". Default: "none"
auth_token (string, optional) - Token for authentication
headers (object, optional) - Custom HTTP headers

Examples

Basic Configuration

{
  "prompt": "You are a helpful customer support agent.",
  "greeting": "Thank you for calling. How can I help you?",
  "llm_model": "gemini-2.5-flash-lite"
}

Advanced Configuration

{
  "prompt": "You are a technical support specialist. Be concise and professional.",
  "greeting": "Hello, this is technical support. What issue can I help you with?",
  "llm_temperature": 0.5,
  "llm_model": "gemini-2.5-flash",
  "tts_params": {
    "voice_id": "custom_voice_123",
    "temperature": 0.9
  },
  "allow_interruptions": true,
  "min_interruption_words": 2,
  "min_silence_duration": 0.6,
  "vad_activation_threshold": 0.6,
  "max_call_duration_seconds": 1800,
  "phone_number": "+14155551234",
  "mcp_servers": [
    {
      "name": "Database Server",
      "url": "https://api.example.com/mcp",
      "auth_type": "bearer_token",
      "auth_token": "your-token"
    }
  ]
}

Configuration for Fast-Paced Conversations

{
  "prompt": "You are a quick and efficient assistant.",
  "llm_temperature": 0.3,
  "allow_interruptions": true,
  "min_interruption_words": 0,
  "min_silence_duration": 0.4,
  "min_endpointing_delay": 0.3,
  "max_endpointing_delay": 2.0,
  "vad_activation_threshold": 0.4
}

Configuration for Formal Conversations

{
  "prompt": "You are a professional business assistant. Speak formally and wait for complete thoughts.",
  "allow_interruptions": false,
  "min_silence_duration": 0.8,
  "min_endpointing_delay": 0.7,
  "max_endpointing_delay": 4.0,
  "vad_activation_threshold": 0.6
}

Best Practices

Start Simple: Begin with just prompt and greeting, then add parameters as needed
Test Incrementally: Adjust one parameter at a time to understand its effect
Timing Parameters: Fine-tune min_silence_duration and vad_activation_threshold based on your use case
Interruptions: Set allow_interruptions: false for formal scenarios, true for casual conversations
Voice Selection: Use voice_id in tts_params to select a specific voice from your available voices
Call Duration: Set max_call_duration_seconds to prevent runaway costs or enforce time limits

Next Steps

Agent Quickstart - Create your first agent
Phone Number Management - Assign phone numbers
Model Context Protocol - Connect MCP servers
API Reference - Complete API documentation

Get started

Text-to-Speech

Voice Agents

Overview

Agent-Level Parameters

Configuration Structure

Core Conversation Parameters

Voice & Speech Parameters

TTS Parameters

Interruption & Turn-Taking

Timing & Endpointing

Agent Control Permissions

Phone Number

Integrations

MCP Servers

Examples

Basic Configuration

Advanced Configuration

Configuration for Fast-Paced Conversations

Configuration for Formal Conversations

Best Practices

Next Steps

Get started

Text-to-Speech

Voice Agents

​Overview

​Agent-Level Parameters

​Configuration Structure

​Core Conversation Parameters

​Voice & Speech Parameters

​TTS Parameters

​Interruption & Turn-Taking

​Timing & Endpointing

​Agent Control Permissions

​Phone Number

​Integrations

​MCP Servers

​Examples

​Basic Configuration

​Advanced Configuration

​Configuration for Fast-Paced Conversations

​Configuration for Formal Conversations

​Best Practices

​Next Steps

Overview

Agent-Level Parameters

Configuration Structure

Core Conversation Parameters

Voice & Speech Parameters

TTS Parameters

Interruption & Turn-Taking

Timing & Endpointing

Agent Control Permissions

Phone Number

Integrations

MCP Servers

Examples

Basic Configuration

Advanced Configuration

Configuration for Fast-Paced Conversations

Configuration for Formal Conversations

Best Practices

Next Steps