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0a50eee5a7
The goal is to promote the minimal set of dependencies the project needs to run, this includes: * dependencies needed to work with the CLI * dependencies needed for the server to run with no providers This also: * Relocate redundant dependencies out of the core project and into the individual providers that actually require them. * Include all necessary server dependencies so the project can run standalone, even without any providers. Signed-off-by: Sébastien Han <seb@redhat.com>
48 lines
1.7 KiB
Python
48 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
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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.scoring,
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provider_type="inline::basic",
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pip_packages=["requests"],
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module="llama_stack.providers.inline.scoring.basic",
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config_class="llama_stack.providers.inline.scoring.basic.BasicScoringConfig",
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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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InlineProviderSpec(
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api=Api.scoring,
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provider_type="inline::llm-as-judge",
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pip_packages=[],
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module="llama_stack.providers.inline.scoring.llm_as_judge",
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config_class="llama_stack.providers.inline.scoring.llm_as_judge.LlmAsJudgeScoringConfig",
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api_dependencies=[
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Api.datasetio,
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Api.datasets,
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Api.inference,
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],
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),
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InlineProviderSpec(
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api=Api.scoring,
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provider_type="inline::braintrust",
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pip_packages=["autoevals", "openai"],
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module="llama_stack.providers.inline.scoring.braintrust",
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config_class="llama_stack.providers.inline.scoring.braintrust.BraintrustScoringConfig",
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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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provider_data_validator="llama_stack.providers.inline.scoring.braintrust.BraintrustProviderDataValidator",
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),
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]
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