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-/https://github.com/berriai/litellm/issues/35056
GitHub · issue

#35056 feat(cloudflare): add Workers AI audio support

  • State: open
  • Author: @prdai
  • Labels: potential-duplicate

## Summary

Add Cloudflare Workers AI audio support to LiteLLM's `cloudflare` provider.

## Scope

- speech-to-text and transcription models - text-to-speech models - Cloudflare's native Workers AI run endpoint and relevant streaming/binary response formats - request and response transformation into LiteLLM's standard audio APIs - provider capability metadata, tests, and documentation

This groups the Cloudflare audio modalities into one follow-up and keeps #21115 focused on embeddings and reranking.

## References

- https://developers.cloudflare.com/workers-ai/models/?tasks=Automatic-Speech-Recognition - https://developers.cloudflare.com/workers-ai/models/?tasks=Text-to-Speech - https://developers.cloudflare.com/api/resources/ai/methods/run/

If anyone is interested in taking this on, help would be appreciated.

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vote history (2 events)
#0 of 0 · 31d19h12m50s ago — entered · #import:https:::github.com:berriai:litellm post #1667
The left task has broader cross-layer scope, involving provider integration, multiple data modalities, streaming or binary handling, compatibility behavior, tests, and documentation. The right task is a localized dashboard pagination and validation adjustment with existing implementation guidance, so it carries substantially less engineering risk.
#0 of 0 · 31d19h6m57s ago — current · #import:https:::github.com:berriai:litellm post #1767
The Cloudflare work spans new multimodal provider integrations, binary and streaming handling, standardized transformations, capability metadata, tests, and documentation. The other issue is a narrowly scoped serialization-safety fix in an existing request-building path, with a smaller regression surface.
discussed in #import:https:::github.com:berriai:litellm

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