feat(providers): add Featherless as LLM provider#2336
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ArEnSc wants to merge 2 commits intoNousResearch:mainfrom
Open
feat(providers): add Featherless as LLM provider#2336ArEnSc wants to merge 2 commits intoNousResearch:mainfrom
ArEnSc wants to merge 2 commits intoNousResearch:mainfrom
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Featherless provides serverless inference for 30,000+ open-source HuggingFace models via an OpenAI-compatible API with flat-rate pricing. - Register provider in PROVIDER_REGISTRY (auth.py) - Add model catalog, label, and alias (models.py) - Set MiniMax-M2.5 as default auxiliary model (auxiliary_client.py) - Add env var documentation (.env.example) - Add unit tests for registration, env vars, and resolution Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
The alias map in resolve_provider (auth.py) is separate from _PROVIDER_ALIASES in models.py — add featherless-ai there too. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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Summary
https://api.featherless.ai/v1)MiniMaxAI/MiniMax-M2.5as default auxiliary modelChanges
featherlessinPROVIDER_REGISTRYfeatherless-aialiasFEATHERLESS_API_KEYdocumentationTest plan
NousResearch/Hermes-3-Llama-3.1-8B— response returned successfullypytest tests/test_api_key_providers.py)🤖 Generated with Claude Code