FRAKTIΛ agents can be configured for full duplex voice interaction, allowing them to process spoken input and respond with synthetic speech. The voice interface supports multi-turn conversations, custom personas and fine-tuned control over tone, prosody and fallback logic.

Voice I/O is fully supported across web, mobile, IoT and hardware endpoints, enabling FRAKTIΛ agents to behave like intelligent assistants, not just scripts.

Voice I/O Stack

Voice Configuration Example

"persona": {
  "voice": "elevenlabs::sophia",
  "language": "en-US",
  "tone": "neutral",
  "fallback": {
    "onSilence": "repeatLast",
    "onInterrupt": "pauseAgent"
  }
}

Real-Time Voice Flow

User speaks → STT processes input.
Text is routed to the runtime + cognitive engine.
Output is generated.
TTS engine plays response.
Loop continues until command ends or conversation exits

Supported Engines

You can swap engines or voice models at runtime.

Use Case Examples

✦ Conversational DeFi agents. ("What's my LP balance?")
✦ In-field robotics controllers. ("Deploy drone swarm 3")
✦ Retail assistants or smart building controllers.
✦ Accessibility tools. (voice input for hands-free agent access)

Safety & Filtering

✦ Speech filters. (profanity, restricted commands)
✦ Interrupt triggers. (hand gestures, wake words, silence threshold)
✦ Voice override to text fallback if signal is noisy.

Strategic Role

The Voice Interface transforms FRAKTIΛ agents from chatbots into autonomous, voice-driven entities capable of ambient computing, real-time command execution and multimodal reasoning.

This enables truly seamless interfaces across human, machine and environment.