mirror of
https://github.com/meta-llama/llama-stack.git
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6192bf43a4
* wip * scoring fn api * eval api * eval task * evaluate api update * pre commit * unwrap context -> config * config field doc * typo * naming fix * separate benchmark / app eval * api name * rename * wip tests * wip * datasetio test * delete unused * fixture * scoring resolve * fix scoring register * scoring test pass * score batch * scoring fix * fix eval * test eval works * remove type ignore * api refactor * add default task_eval_id for routing * add eval_id for jobs * remove type ignore * only keep 1 run_eval * fix optional * register task required * register task required * delete old tests * delete old tests * fixture return impl
43 lines
1.3 KiB
Python
43 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 typing import Any, Dict, List, Literal, Optional, Protocol, runtime_checkable
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from llama_models.schema_utils import json_schema_type, webmethod
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from pydantic import BaseModel, Field
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@json_schema_type
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class EvalTaskDef(BaseModel):
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identifier: str
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dataset_id: str
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scoring_functions: List[str]
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metadata: Dict[str, Any] = Field(
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default_factory=dict,
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description="Metadata for this evaluation task",
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)
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@json_schema_type
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class EvalTaskDefWithProvider(EvalTaskDef):
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type: Literal["eval_task"] = "eval_task"
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provider_id: str = Field(
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description="ID of the provider which serves this dataset",
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)
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@runtime_checkable
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class EvalTasks(Protocol):
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@webmethod(route="/eval_tasks/list", method="GET")
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async def list_eval_tasks(self) -> List[EvalTaskDefWithProvider]: ...
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@webmethod(route="/eval_tasks/get", method="GET")
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async def get_eval_task(self, name: str) -> Optional[EvalTaskDefWithProvider]: ...
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@webmethod(route="/eval_tasks/register", method="POST")
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async def register_eval_task(
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self, eval_task_def: EvalTaskDefWithProvider
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) -> None: ...
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