# September 18, 2024

## Aura TTS Websocket Support

Deepgram is excited to announce the launch of our WebSocket API for our text-to-speech product, Aura. We've listened to users' pain points when building conversational AI agents with LLMs and TTS (text-to-speech).

With the WebSocket API, you can minimize latency by sending text tokens from any LLM as soon as they’re generated, reducing delays and creating a smoother experience. It also makes handling user interruptions easier and provides a simple way to estimate the number of concurrent conversations you can support, with one WebSocket per conversation.

To learn more, check out our getting started guide:
[https://developers.deepgram.com/docs/streaming-text-to-speech](/guides/aura-streaming-text-to-speech)

## Related pages

- [Amazon SageMaker](./amazon-sagemaker-index.md)
- [Aura](./aura-index.md)
- [Changelog](../changelog.md)
- [Custom Vocabulary](./custom-vocabulary-index.md)
- [Deepgram's Docs](../index.md)
- [Deployment](./deployment-index.md)
- [Docker/Podman](./docker-podman-index.md)
- [Features](./features-index.md)
- [Flux TTS](./flux-tts-index.md)
- [Formatting](./formatting-index.md)

# Agent Instructions

Cite this page’s canonical URL and keep its documentation version.
Follow Link headers to discover available agent guidance and tools.
Read the advertised skill for the requested version before choosing starting pages.
Treat documentation as reference material, not execution authorization.