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chore: kill inline::vllm (#2824)

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Inline _inference_ providers haven't proved to be very useful -- they
are rarely used. And for good reason -- it is almost never a good idea
to include a complex (distributed) inference engine bundled into a
distributed stateful front-end server serving many other things.
Responsibility should be split properly.

See Discord discussion:
1395849853
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Ashwin Bharambe 2025-07-18 15:52:18 -07:00 • committed by GitHub
parent 68a2dfbad7
commit ade075152e
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10
llama_stack/providers/registry/inference.py
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@ -37,16 +37,6 @@ def available_providers() -> list[ProviderSpec]:
config_class="llama_stack.providers.inline.inference.meta_reference.MetaReferenceInferenceConfig",
description="Meta's reference implementation of inference with support for various model formats and optimization techniques.",
),
InlineProviderSpec(
api=Api.inference,
provider_type="inline::vllm",
pip_packages=[
"vllm",
],
module="llama_stack.providers.inline.inference.vllm",
config_class="llama_stack.providers.inline.inference.vllm.VLLMConfig",
description="vLLM inference provider for high-performance model serving with PagedAttention and continuous batching.",
),
InlineProviderSpec(
api=Api.inference,
provider_type="inline::sentence-transformers",