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feat(api): define a more coherent jobs api across different flows
Signed-off-by: Ihar Hrachyshka <ihar.hrachyshka@gmail.com>
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parent
71ed47ea76
commit
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15 changed files with 1864 additions and 1670 deletions
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@ -4,15 +4,14 @@
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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, Union
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from typing import Dict, Literal, Optional, Protocol, Union
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from pydantic import BaseModel, Field
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from typing_extensions import Annotated
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from llama_stack.apis.agents import AgentConfig
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from llama_stack.apis.common.job_types import Job
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from llama_stack.apis.common.job_types import BaseJob
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from llama_stack.apis.inference import SamplingParams, SystemMessage
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from llama_stack.apis.scoring import ScoringResult
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from llama_stack.apis.scoring_functions import ScoringFnParams
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from llama_stack.schema_utils import json_schema_type, register_schema, webmethod
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@ -47,6 +46,14 @@ EvalCandidate = Annotated[Union[ModelCandidate, AgentCandidate], Field(discrimin
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register_schema(EvalCandidate, name="EvalCandidate")
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class EvaluateJob(BaseJob, BaseModel):
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type: Literal["eval"] = "eval"
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class ListEvaluateJobsResponse(BaseModel):
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data: list[EvaluateJob]
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@json_schema_type
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class BenchmarkConfig(BaseModel):
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"""A benchmark configuration for evaluation.
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@ -68,76 +75,30 @@ class BenchmarkConfig(BaseModel):
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# we could optinally add any specific dataset config here
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@json_schema_type
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class EvaluateResponse(BaseModel):
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"""The response from an evaluation.
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:param generations: The generations from the evaluation.
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:param scores: The scores from the evaluation.
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"""
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generations: List[Dict[str, Any]]
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# each key in the dict is a scoring function name
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scores: Dict[str, ScoringResult]
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class Eval(Protocol):
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"""Llama Stack Evaluation API for running evaluations on model and agent candidates."""
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@webmethod(route="/eval/benchmarks/{benchmark_id}/jobs", method="POST")
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async def run_eval(
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@webmethod(route="/eval/benchmarks/{benchmark_id}/evaluate", method="POST")
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async def evaluate(
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self,
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benchmark_id: str,
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benchmark_config: BenchmarkConfig,
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) -> Job:
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"""Run an evaluation on a benchmark.
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) -> EvaluateJob: ...
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:param benchmark_id: The ID of the benchmark to run the evaluation on.
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:param benchmark_config: The configuration for the benchmark.
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:return: The job that was created to run the evaluation.
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"""
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# CRUD operations on running jobs
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@webmethod(route="/evaluate/jobs/{job_id:path}", method="GET")
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async def get_evaluate_job(self, job_id: str) -> EvaluateJob: ...
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@webmethod(route="/eval/benchmarks/{benchmark_id}/evaluations", method="POST")
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async def evaluate_rows(
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self,
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benchmark_id: str,
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input_rows: List[Dict[str, Any]],
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scoring_functions: List[str],
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benchmark_config: BenchmarkConfig,
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) -> EvaluateResponse:
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"""Evaluate a list of rows on a benchmark.
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@webmethod(route="/evaluate/jobs", method="GET")
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async def list_evaluate_jobs(self) -> ListEvaluateJobsResponse: ...
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:param benchmark_id: The ID of the benchmark to run the evaluation on.
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:param input_rows: The rows to evaluate.
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:param scoring_functions: The scoring functions to use for the evaluation.
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:param benchmark_config: The configuration for the benchmark.
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:return: EvaluateResponse object containing generations and scores
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"""
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@webmethod(route="/evaluate/jobs/{job_id:path}", method="POST")
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async def update_evaluate_job(self, job: EvaluateJob) -> EvaluateJob: ...
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@webmethod(route="/eval/benchmarks/{benchmark_id}/jobs/{job_id}", method="GET")
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async def job_status(self, benchmark_id: str, job_id: str) -> Job:
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"""Get the status of a job.
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@webmethod(route="/evaluate/job/{job_id:path}", method="DELETE")
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async def delete_evaluate_job(self, job_id: str) -> None: ...
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:param benchmark_id: The ID of the benchmark to run the evaluation on.
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:param job_id: The ID of the job to get the status of.
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:return: The status of the evaluationjob.
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"""
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...
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@webmethod(route="/eval/benchmarks/{benchmark_id}/jobs/{job_id}", method="DELETE")
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async def job_cancel(self, benchmark_id: str, job_id: str) -> None:
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"""Cancel a job.
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:param benchmark_id: The ID of the benchmark to run the evaluation on.
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:param job_id: The ID of the job to cancel.
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"""
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...
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@webmethod(route="/eval/benchmarks/{benchmark_id}/jobs/{job_id}/result", method="GET")
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async def job_result(self, benchmark_id: str, job_id: str) -> EvaluateResponse:
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"""Get the result of a job.
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:param benchmark_id: The ID of the benchmark to run the evaluation on.
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:param job_id: The ID of the job to get the result of.
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:return: The result of the job.
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"""
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# Note: pause/resume/cancel are achieved as follows:
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# - POST with status=paused
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# - POST with status=resuming
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# - POST with status=cancelled
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