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# What does this PR do? currently `RemoteProviderSpec` has an `AdapterSpec` embedded in it. Remove `AdapterSpec`, and put its leftover fields into `RemoteProviderSpec`. Additionally, many of the fields were duplicated between `InlineProviderSpec` and `RemoteProviderSpec`. Move these to `ProviderSpec` so they are shared. Fixup the distro codegen to use `RemoteProviderSpec` directly rather than `remote_provider_spec` which took an AdapterSpec and returned a full provider spec ## Test Plan existing distro tests should pass. Signed-off-by: Charlie Doern <cdoern@redhat.com>
46 lines
1.7 KiB
Python
46 lines
1.7 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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from llama_stack.providers.datatypes import Api, InlineProviderSpec, ProviderSpec, RemoteProviderSpec
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def available_providers() -> list[ProviderSpec]:
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return [
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InlineProviderSpec(
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api=Api.eval,
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provider_type="inline::meta-reference",
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pip_packages=["tree_sitter", "pythainlp", "langdetect", "emoji", "nltk"],
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module="llama_stack.providers.inline.eval.meta_reference",
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config_class="llama_stack.providers.inline.eval.meta_reference.MetaReferenceEvalConfig",
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api_dependencies=[
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Api.datasetio,
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Api.datasets,
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Api.scoring,
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Api.inference,
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Api.agents,
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],
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description="Meta's reference implementation of evaluation tasks with support for multiple languages and evaluation metrics.",
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),
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RemoteProviderSpec(
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api=Api.eval,
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adapter_type="nvidia",
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pip_packages=[
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"requests",
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],
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provider_type="remote::nvidia",
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module="llama_stack.providers.remote.eval.nvidia",
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config_class="llama_stack.providers.remote.eval.nvidia.NVIDIAEvalConfig",
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description="NVIDIA's evaluation provider for running evaluation tasks on NVIDIA's platform.",
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api_dependencies=[
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Api.datasetio,
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Api.datasets,
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Api.scoring,
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Api.inference,
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Api.agents,
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],
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),
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]
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