For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
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OverviewAPI ReferencePre-recorded STTStreaming STTVoice AgentsSpeech UnderstandingGuardrailsLLM GatewayFAQ
OverviewAPI ReferencePre-recorded STTStreaming STTVoice AgentsSpeech UnderstandingGuardrailsLLM GatewayFAQ
  • Overview
      • Can I use speaker diarization with Streaming Speech-to-Text?
      • How accurate is your Streaming transcription compared to Async transcription?
      • How does automatically scaling concurrency for Streaming STT work?
      • How does Universal Streaming session-based pricing work?
      • What languages are supported for Streaming Speech-to-text?
      • Resolving SSL Certificate Verification Error When Trying to Use Streaming STT
      • I am getting a "Model deprecated. See docs for new model information" error message. What does it mean?
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  • How to upgrade to a supported streaming model
OverviewStreaming audio

I am getting a "Model deprecated. See docs for new model information" error message. What does it mean?

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If you receive an error message indicating Model deprecated, see our docs for new model information: https://www.assemblyai.com/docs/streaming, it means you are using an older version of our Streaming STT feature that is no longer supported.

How to upgrade to a supported streaming model

You’ll need to update your implementation to use one of our current streaming models. We recommend Universal-3 Pro Streaming (u3-rt-pro) as the primary streaming model. It delivers the highest accuracy with sub-300ms latency and native code switching across English, Spanish, German, French, Portuguese, and Italian.

  1. Review the Streaming documentation for model selection and implementation guidance.

  2. For a quick start guide, see our Getting Started with Streaming Audio documentation.

Universal-3 Pro Streaming and the Universal-Streaming family of models offer improved accuracy and reliability compared to our legacy streaming implementation.