forked from phoenix-oss/llama-stack-mirror
9e6561a1ec
# What does this PR do? The goal of this PR is code base modernization. Schema reflection code needed a minor adjustment to handle UnionTypes and collections.abc.AsyncIterator. (Both are preferred for latest Python releases.) Note to reviewers: almost all changes here are automatically generated by pyupgrade. Some additional unused imports were cleaned up. The only change worth of note can be found under `docs/openapi_generator` and `llama_stack/strong_typing/schema.py` where reflection code was updated to deal with "newer" types. Signed-off-by: Ihar Hrachyshka <ihar.hrachyshka@gmail.com>
33 lines
1.3 KiB
Python
33 lines
1.3 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 AdapterSpec, Api, InlineProviderSpec, ProviderSpec, remote_provider_spec
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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.post_training,
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provider_type="inline::torchtune",
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pip_packages=["torch", "torchtune==0.5.0", "torchao==0.8.0", "numpy"],
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module="llama_stack.providers.inline.post_training.torchtune",
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config_class="llama_stack.providers.inline.post_training.torchtune.TorchtunePostTrainingConfig",
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api_dependencies=[
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Api.datasetio,
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Api.datasets,
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],
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),
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remote_provider_spec(
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api=Api.post_training,
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adapter=AdapterSpec(
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adapter_type="nvidia",
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pip_packages=["requests", "aiohttp"],
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module="llama_stack.providers.remote.post_training.nvidia",
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config_class="llama_stack.providers.remote.post_training.nvidia.NvidiaPostTrainingConfig",
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),
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),
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]
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