Skip to content

Support Self-Hosted Adaptive Interruption / Krisp VIVA Integration for LiveKit Agents #6033

Description

@acharan-tech-200037

Feature Type

Nice to have

Feature Description

Problem

We are running LiveKit Agents in a fully self-hosted environment for SIP/telephony voice agents.
Our users are primarily Hindi and Telugu speakers. During calls, users frequently provide conversational backchannels such as:
haa, avunu,hmm,yeah, okay

These are acknowledgements rather than genuine interruptions.
With VAD-based interruption handling, these utterances often trigger unwanted agent interruptions, creating a poor conversational experience.

Current Limitation

Adaptive Interruption Handling works well but relies on LiveKit-hosted inference. Self-hosted deployments eventually fall back to VAD-based interruption handling.

For organizations that require fully self-hosted deployments, there is currently no equivalent local interruption model.

Feature Request

Please provide one or more of the following:

  • Self-hostable Adaptive Interruption model.
  • Official Krisp VIVA Turn Prediction / Interruption Prediction integration.
  • Pluggable interruption detector interface allowing custom interruption models.
  • Local inference option for adaptive interruption handling

Expected Outcome

Allow self-hosted LiveKit deployments to distinguish:

Backchannels:

  • hmm
  • yeah
  • haa
  • okay

from true interruptions:

  • wait
  • stop
  • actually
  • let me explain

without requiring LiveKit Cloud inference

Workarounds / Alternatives

No response

Additional Context

No response

Metadata

Metadata

Assignees

No one assigned

    Labels

    enhancementNew feature or request

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions