litellm - 💡(How to fix) Fix [Feature]: Add support for voxtral TTS [1 participants]

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BerriAI/litellm#24780Fetched 2026-04-08 01:54:02
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Check for existing issues

  • I have searched the existing issues and checked that my issue is not a duplicate.

The Feature

add support for recently released voxtral TTS model

Motivation, pitch

Would love be able to use voxtral with litellm

What part of LiteLLM is this about?

Proxy

LiteLLM is hiring a founding backend engineer, are you interested in joining us and shipping to all our users?

No

Twitter / LinkedIn details

No response

extent analysis

Fix Plan

To add support for the recently released VoxTral TTS model, we need to integrate it into the LiteLLM proxy.

Steps:

  • Update dependencies to include the VoxTral TTS library
  • Create a new class to handle VoxTral TTS model interactions
  • Modify the proxy to use the new VoxTral TTS class

Example Code:

# Import the VoxTral TTS library
import voxtral

# Create a new class to handle VoxTral TTS model interactions
class VoxTralTTS:
    def __init__(self):
        self.model = voxtral.Model()

    def synthesize(self, text):
        return self.model.synthesize(text)

# Modify the proxy to use the new VoxTral TTS class
class Proxy:
    def __init__(self):
        self.tts = VoxTralTTS()

    def handle_request(self, text):
        audio = self.tts.synthesize(text)
        return audio

Verification

To verify that the fix worked, test the proxy with a sample text input and check that the output audio is generated correctly using the VoxTral TTS model.

Extra Tips

  • Make sure to handle any errors that may occur during the integration process
  • Consider adding support for multiple TTS models to allow for flexibility and customization
  • Refer to the VoxTral TTS documentation for any specific requirements or guidelines for integration.

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litellm - 💡(How to fix) Fix [Feature]: Add support for voxtral TTS [1 participants]