phoenix-oss/llama-stack-mirror
0
0
Fork 1
mirror of https://github.com/meta-llama/llama-stack.git synced 2025-08-12 13:00:39 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions

deprecate

Browse source
This commit is contained in:
Xi Yan 2025-02-20 13:00:35 -08:00
parent eddef0b2ae
commit c26d1a9a28
7 changed files with 1359 additions and 2150 deletions
Download patch file Download diff file Expand all files Collapse all files

2027
docs/_static/llama-stack-spec.html vendored
View file

File diff suppressed because it is too large Load diff

1324
docs/_static/llama-stack-spec.yaml vendored
View file

File diff suppressed because it is too large Load diff

20
llama_stack/apis/benchmarks/benchmarks.py
View file

@ -64,23 +64,3 @@ class Benchmarks(Protocol):
provider_id: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
) -> None: ...
@webmethod(route="/eval-tasks", method="GET")
async def DEPRECATED_list_eval_tasks(self) -> ListBenchmarksResponse: ...
@webmethod(route="/eval-tasks/{eval_task_id}", method="GET")
async def DEPRECATED_get_eval_task(
self,
eval_task_id: str,
) -> Optional[Benchmark]: ...
@webmethod(route="/eval-tasks", method="POST")
async def DEPRECATED_register_eval_task(
self,
eval_task_id: str,
dataset_id: str,
scoring_functions: List[str],
provider_benchmark_id: Optional[str] = None,
provider_id: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
) -> None: ...

25
llama_stack/apis/eval/eval.py
View file

@ -84,28 +84,3 @@ class Eval(Protocol):
@webmethod(route="/eval/benchmarks/{benchmark_id}/jobs/{job_id}/result", method="GET")
async def job_result(self, benchmark_id: str, job_id: str) -> EvaluateResponse: ...
@webmethod(route="/eval/tasks/{task_id}/jobs", method="POST")
async def DEPRECATED_run_eval(
self,
task_id: str,
task_config: BenchmarkConfig,
) -> Job: ...
@webmethod(route="/eval/tasks/{task_id}/evaluations", method="POST")
async def DEPRECATED_evaluate_rows(
self,
task_id: str,
input_rows: List[Dict[str, Any]],
scoring_functions: List[str],
task_config: BenchmarkConfig,
) -> EvaluateResponse: ...
@webmethod(route="/eval/tasks/{task_id}/jobs/{job_id}", method="GET")
async def DEPRECATED_job_status(self, task_id: str, job_id: str) -> Optional[JobStatus]: ...
@webmethod(route="/eval/tasks/{task_id}/jobs/{job_id}", method="DELETE")
async def DEPRECATED_job_cancel(self, task_id: str, job_id: str) -> None: ...
@webmethod(route="/eval/tasks/{task_id}/jobs/{job_id}/result", method="GET")
async def DEPRECATED_job_result(self, task_id: str, job_id: str) -> EvaluateResponse: ...

42
llama_stack/distribution/routers/routers.py
View file

@ -411,48 +411,6 @@ class EvalRouter(Eval):
job_id,
)
async def DEPRECATED_run_eval(
self,
task_id: str,
task_config: BenchmarkConfig,
) -> Job:
return await self.run_eval(benchmark_id=task_id, task_config=task_config)
async def DEPRECATED_evaluate_rows(
self,
task_id: str,
input_rows: List[Dict[str, Any]],
scoring_functions: List[str],
task_config: BenchmarkConfig,
) -> EvaluateResponse:
return await self.evaluate_rows(
benchmark_id=task_id,
input_rows=input_rows,
scoring_functions=scoring_functions,
task_config=task_config,
)
async def DEPRECATED_job_status(
self,
task_id: str,
job_id: str,
) -> Optional[JobStatus]:
return await self.job_status(benchmark_id=task_id, job_id=job_id)
async def DEPRECATED_job_cancel(
self,
task_id: str,
job_id: str,
) -> None:
return await self.job_cancel(benchmark_id=task_id, job_id=job_id)
async def DEPRECATED_job_result(
self,
task_id: str,
job_id: str,
) -> EvaluateResponse:
return await self.job_result(benchmark_id=task_id, job_id=job_id)
class ToolRuntimeRouter(ToolRuntime):
class RagToolImpl(RAGToolRuntime):

29
llama_stack/distribution/routers/routing_tables.py
View file

@ -468,35 +468,6 @@ class BenchmarksRoutingTable(CommonRoutingTableImpl, Benchmarks):
)
await self.register_object(benchmark)
async def DEPRECATED_list_eval_tasks(self) -> ListBenchmarksResponse:
logger.warning("DEPRECATED: Use /eval/benchmarks instead")
return await self.list_benchmarks()
async def DEPRECATED_get_eval_task(
self,
eval_task_id: str,
) -> Optional[Benchmark]:
logger.warning("DEPRECATED: Use /eval/benchmarks instead")
return await self.get_benchmark(eval_task_id)
async def DEPRECATED_register_eval_task(
self,
eval_task_id: str,
dataset_id: str,
scoring_functions: List[str],
provider_benchmark_id: Optional[str] = None,
provider_id: Optional[str] = None,
metadata: Optional[Dict[str, Any]] = None,
) -> None:
logger.warning("DEPRECATED: Use /eval/benchmarks instead")
return await self.register_benchmark(
benchmark_id=eval_task_id,
dataset_id=dataset_id,
scoring_functions=scoring_functions,
metadata=metadata,
provider_benchmark_id=provider_benchmark_id,
)
class ToolGroupsRoutingTable(CommonRoutingTableImpl, ToolGroups):
async def list_tools(self, toolgroup_id: Optional[str] = None) -> ListToolsResponse:

42
llama_stack/providers/inline/eval/meta_reference/eval.py
View file

@ -234,45 +234,3 @@ class MetaReferenceEvalImpl(
raise ValueError(f"Job is not completed, Status: {status.value}")
return self.jobs[job_id]
async def DEPRECATED_run_eval(
self,
task_id: str,
task_config: BenchmarkConfig,
) -> Job:
return await self.run_eval(benchmark_id=task_id, task_config=task_config)
async def DEPRECATED_evaluate_rows(
self,
task_id: str,
input_rows: List[Dict[str, Any]],
scoring_functions: List[str],
task_config: BenchmarkConfig,
) -> EvaluateResponse:
return await self.evaluate_rows(
benchmark_id=task_id,
input_rows=input_rows,
scoring_functions=scoring_functions,
task_config=task_config,
)
async def DEPRECATED_job_status(
self,
task_id: str,
job_id: str,
) -> Optional[JobStatus]:
return await self.job_status(benchmark_id=task_id, job_id=job_id)
async def DEPRECATED_job_cancel(
self,
task_id: str,
job_id: str,
) -> None:
return await self.job_cancel(benchmark_id=task_id, job_id=job_id)
async def DEPRECATED_job_result(
self,
task_id: str,
job_id: str,
) -> EvaluateResponse:
return await self.job_result(benchmark_id=task_id, job_id=job_id)