Agent Studio

Agents

Voice AI agent configuration and behavior

Agents

An Agent is a voice AI entity that can have conversations with users. Each agent has its own personality (prompt), voice, and capabilities (tools).

Agent Configuration

{
  "name": "meal-agent",
  "display_name": "Meal Logging Agent",
  "config": {
    "prompt": {
      "system": "You are a friendly health coach helping users log their meals...",
      "greeting": "Hi {{user_name}}! What did you have for {{meal_type}}?",
      "variables": [
        { "name": "user_name", "default": "there" },
        { "name": "meal_type", "default": "your meal" }
      ]
    },
    "stt": { "provider": "deepgram", "model": "nova-2" },
    "tts": { "provider": "cartesia", "voice_id": "..." },
    "llm": { "provider": "gemini", "model": "gemini-2.0-flash-exp" },
    "tools": ["save_meal", "get_meal_suggestions"],
    "handoffs": [
      { "target_agent": "glucose-agent", "conditions": ["meal_logged"] }
    ]
  }
}

Prompt System

System Prompt

The core personality and instructions for the agent.

Greeting

The first thing the agent says when activated. Supports variable interpolation.

Variables

Dynamic values that can be injected into prompts from the call context.

Provider Configuration

Each agent can specify which providers to use:

  • STT (Speech-to-Text): Deepgram, Sarvam
  • TTS (Text-to-Speech): Cartesia, Sarvam
  • LLM (Language Model): Gemini, OpenAI
  • VAD (Voice Activity Detection): Silero

If not specified, the agent inherits from tenant defaults.

Tools

Tools are functions the agent can invoke during conversation. See Tools for details.

Handoffs

Agents can transfer conversations to other agents based on conditions. See Workflows for multi-agent orchestration.

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