forked from phoenix-oss/llama-stack-mirror
99 lines
2.7 KiB
Python
99 lines
2.7 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 typing import List, Protocol
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from pydantic import BaseModel
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from pyopenapi import webmethod
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from llama_models.llama3_1.api.datatypes import * # noqa: F403
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from .datatypes import * # noqa: F403
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from llama_toolchain.dataset.api.datatypes import * # noqa: F403
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from llama_toolchain.common.training_types import * # noqa: F403
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class EvaluateTaskRequestCommon(BaseModel):
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job_uuid: str
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dataset: TrainEvalDataset
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checkpoint: Checkpoint
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# generation params
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sampling_params: SamplingParams = SamplingParams()
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@json_schema_type
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class EvaluateTextGenerationRequest(EvaluateTaskRequestCommon):
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"""Request to evaluate text generation."""
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metrics: List[TextGenerationMetric]
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@json_schema_type
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class EvaluateQuestionAnsweringRequest(EvaluateTaskRequestCommon):
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"""Request to evaluate question answering."""
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metrics: List[QuestionAnsweringMetric]
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@json_schema_type
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class EvaluateSummarizationRequest(EvaluateTaskRequestCommon):
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"""Request to evaluate summarization."""
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metrics: List[SummarizationMetric]
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class EvaluationJobStatusResponse(BaseModel):
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job_uuid: str
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@json_schema_type
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class EvaluationJobArtifactsResponse(BaseModel):
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"""Artifacts of a evaluation job."""
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job_uuid: str
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class Evaluations(Protocol):
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@webmethod(route="/evaluate/text_generation/")
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def post_evaluate_text_generation(
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self,
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request: EvaluateTextGenerationRequest,
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) -> EvaluationJob: ...
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@webmethod(route="/evaluate/question_answering/")
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def post_evaluate_question_answering(
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self,
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request: EvaluateQuestionAnsweringRequest,
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) -> EvaluationJob: ...
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@webmethod(route="/evaluate/summarization/")
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def post_evaluate_summarization(
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self,
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request: EvaluateSummarizationRequest,
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) -> EvaluationJob: ...
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@webmethod(route="/evaluate/jobs")
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def get_evaluation_jobs(self) -> List[EvaluationJob]: ...
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@webmethod(route="/evaluate/job/status")
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def get_evaluation_job_status(
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self, job_uuid: str
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) -> EvaluationJobStatusResponse: ...
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# sends SSE stream of logs
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@webmethod(route="/evaluate/job/logs")
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def get_evaluation_job_logstream(self, job_uuid: str) -> EvaluationJobLogStream: ...
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@webmethod(route="/evaluate/job/cancel")
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def cancel_evaluation_job(self, job_uuid: str) -> None: ...
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@webmethod(route="/evaluate/job/artifacts")
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def get_evaluation_job_artifacts(
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self, job_uuid: str
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) -> EvaluationJobArtifactsResponse: ...
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