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eval api
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2 changed files with 85 additions and 5 deletions
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@ -14,6 +14,8 @@ from llama_stack.apis.scoring_functions import * # noqa: F403
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from llama_stack.apis.agents import AgentConfig
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from llama_stack.apis.common.job_types import Job, JobStatus
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from llama_stack.apis.scoring import * # noqa: F403
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from llama_stack.apis.scoring_functions import * # noqa: F403
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from llama_stack.apis.eval_tasks import * # noqa: F403
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@json_schema_type
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@ -34,11 +36,27 @@ EvalCandidate = Annotated[
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Union[ModelCandidate, AgentCandidate], Field(discriminator="type")
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]
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# @json_schema_type
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# class EvalTaskDef(BaseModel):
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# dataset_id: str
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# candidate: EvalCandidate
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# scoring_functions: List[str]
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@json_schema_type
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class BenchmarkEvalTaskConfig(BaseModel):
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type: Literal["benchmark"] = "benchmark"
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eval_candidate: EvalCandidate # type: ignore
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@json_schema_type
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class AppEvalTaskConfig(BaseModel):
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type: Literal["app"] = "app"
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eval_candidate: EvalCandidate # type: ignore
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scoring_functions_config: Dict[str, ScoringFnConfig] = Field(
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description="Map between scoring function id and parameters",
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default_factory=dict,
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)
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# we could optinally add any GenEval specific dataset config here
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EvalTaskConfig = Annotated[
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Union[BenchmarkEvalTaskConfig, AppEvalTaskConfig], Field(discriminator="type")
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]
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@json_schema_type
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@ -50,6 +68,13 @@ class EvaluateResponse(BaseModel):
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class Eval(Protocol):
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@webmethod(route="/eval/evaluate_batch", method="POST")
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async def evaluate_task(
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self,
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eval_task_def: Union[str, EvalTaskDef], # type: ignore
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eval_task_config: EvalTaskConfig, # type: ignore
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) -> Job: ...
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@webmethod(route="/eval/evaluate_batch", method="POST")
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async def evaluate_batch(
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self,
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