feat: Updating files/content response to return additional fields

Signed-off-by: Francisco Javier Arceo <farceo@redhat.com>
This commit is contained in:
Francisco Javier Arceo 2025-08-06 16:55:14 -04:00
parent e12524af85
commit a19c16428f
143 changed files with 6907 additions and 15104 deletions

View file

@ -23,12 +23,8 @@ from llama_stack.apis.post_training import (
from llama_stack.providers.inline.post_training.torchtune.config import (
TorchtunePostTrainingConfig,
)
from llama_stack.providers.inline.post_training.torchtune.recipes.lora_finetuning_single_device import (
LoraFinetuningSingleDevice,
)
from llama_stack.providers.utils.scheduler import JobArtifact, Scheduler
from llama_stack.providers.utils.scheduler import JobStatus as SchedulerJobStatus
from llama_stack.schema_utils import webmethod
class TrainingArtifactType(Enum):
@ -84,6 +80,10 @@ class TorchtunePostTrainingImpl:
if isinstance(algorithm_config, LoraFinetuningConfig):
async def handler(on_log_message_cb, on_status_change_cb, on_artifact_collected_cb):
from llama_stack.providers.inline.post_training.torchtune.recipes.lora_finetuning_single_device import (
LoraFinetuningSingleDevice,
)
on_log_message_cb("Starting Lora finetuning")
recipe = LoraFinetuningSingleDevice(
@ -144,7 +144,6 @@ class TorchtunePostTrainingImpl:
data = cls._get_artifacts_metadata_by_type(job, TrainingArtifactType.RESOURCES_STATS.value)
return data[0] if data else None
@webmethod(route="/post-training/job/status")
async def get_training_job_status(self, job_uuid: str) -> PostTrainingJobStatusResponse | None:
job = self._scheduler.get_job(job_uuid)
@ -171,11 +170,9 @@ class TorchtunePostTrainingImpl:
resources_allocated=self._get_resources_allocated(job),
)
@webmethod(route="/post-training/job/cancel")
async def cancel_training_job(self, job_uuid: str) -> None:
self._scheduler.cancel(job_uuid)
@webmethod(route="/post-training/job/artifacts")
async def get_training_job_artifacts(self, job_uuid: str) -> PostTrainingJobArtifactsResponse | None:
job = self._scheduler.get_job(job_uuid)
return PostTrainingJobArtifactsResponse(job_uuid=job_uuid, checkpoints=self._get_checkpoints(job))