mirror of
https://github.com/meta-llama/llama-stack.git
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ed833bb758
* wip scoring refactor * llm as judge, move folders * test full generation + eval * extract score regex to llm context * remove prints, cleanup braintrust in this branch * braintrust skeleton * datasetio test fix * braintrust provider * remove prints * dependencies * change json -> class * json -> class * remove initialize * address nits * check identifier prefix * braintrust scoring identifier check, rebase * udpate MANIFEST * manifest * remove braintrust scoring_fn * remove comments * tests * imports fix
37 lines
1.2 KiB
Python
37 lines
1.2 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 typing import List
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from llama_stack.distribution.datatypes import * # noqa: F403
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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="meta-reference",
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pip_packages=[],
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module="llama_stack.providers.impls.meta_reference.scoring",
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config_class="llama_stack.providers.impls.meta_reference.scoring.MetaReferenceScoringConfig",
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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="braintrust",
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pip_packages=["autoevals", "openai"],
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module="llama_stack.providers.impls.braintrust.scoring",
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config_class="llama_stack.providers.impls.braintrust.scoring.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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),
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]
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