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[Inference Providers] deepinfra: add feature-extraction support - #4656
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hanouticelina merged 1 commit intoAug 17, 2026
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…support Adds `feature-extraction` support to the **deepinfra** inference provider. - New `DeepInfraFeatureExtractionTask(TaskProviderHelper)` in `src/huggingface_hub/inference/_providers/deepinfra.py`. - Targets DeepInfra's OpenAI-compatible endpoint `POST /v1/openai/embeddings` and returns the list of embedding vectors. - The mapped provider model (`provider_mapping_info.provider_id`) is applied last in the payload so caller parameters cannot override it (consistent with the deepinfra ASR/TTS integrations, huggingface#4382 / huggingface#4559). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## main #4656 +/- ##
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+ Coverage 75.00% 76.09% +1.09%
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Files 145 179 +34
Lines 13978 23401 +9423
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+ Hits 10484 17807 +7323
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This PR has been shipped as part of the v1.28.0 release. |
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What
Adds
feature-extractionsupport to the deepinfra inference provider.Details
DeepInfraFeatureExtractionTask(TaskProviderHelper)insrc/huggingface_hub/inference/_providers/deepinfra.py.POST /v1/openai/embeddingsand returns the list of embedding vectors ([item["embedding"] for item in response["data"]]).provider_mapping_info.provider_id) is applied last in the payload so caller parameters cannot override it (consistent with the deepinfra ASR/TTS integrations, [Inference Providers] deepinfra: add automatic-speech-recognition support #4382 / [Inference Providers] deepinfra: add text-to-speech support #4559)."deepinfra" -> "feature-extraction"in_providers/__init__.py.This is the Python counterpart of the huggingface.js change (companion PR).
Tests
Added
TestDeepInfraProvidercases mirroring the TTS ones: URL, payload, model-not-overridable, and response parsing.🤖 Generated with Claude Code
Note
Low Risk
Additive provider task support following existing patterns; no auth, routing, or core inference client changes.
Overview
Adds feature-extraction (embeddings) support for the DeepInfra inference provider.
New
DeepInfraFeatureExtractionTaskcalls DeepInfra's OpenAI-compatible/v1/openai/embeddingsendpoint and returns embedding vectors from the response. The mapped provider model is applied last in the payload so callers cannot override it, matching existing DeepInfra ASR/TTS behavior.Registers the task under
deepinfraand adds unit tests for URL, payload, model override protection, and response parsing.Reviewed by Cursor Bugbot for commit 50e0c45. Bugbot is set up for automated code reviews on this repo. Configure here.