add fine_tuning.jobs.list_events

Author: aanaseer

src/openai/cli/_api/fine_tuning/jobs.py

@@ -9,6 +9,7 @@
 from ....pagination import SyncCursorPage
 from ....types.fine_tuning import (
     FineTuningJob,
+    FineTuningJobEvent,
 )
 
 if TYPE_CHECKING:
@@ -55,6 +56,26 @@ def register(subparser: _SubParsersAction[ArgumentParser]) -> None:
     )
 
     sub = subparser.add_parser("fine_tuning.jobs.list_events")
+    sub.add_argument(
+        "-i",
+        "--id",
+        help="The ID of the fine-tuning job to list events for.",
+        required=True,
+    )
+    sub.add_argument(
+        "-a",
+        "--after",
+        help="Identifier for the last event from the previous pagination request. If provided, only events created after this event will be returned.",
+    )
+    sub.add_argument(
+        "-l",
+        "--limit",
+        help="Number of fine-tuning job events to retrieve.",
+        type=int,
+    )
+    sub.set_defaults(
+        func=CLIFineTuningJobs.list_events, args_model=CLIFineTuningJobsListEventsArgs
+    )
 
 
 class CLIFineTuningJobsRetrieveArgs(BaseModel):
@@ -67,6 +88,12 @@ class CLIFineTuningJobsListArgs(BaseModel):
 class CLIFineTuningJobsCancelArgs(BaseModel):
     id: str
 
+class CLIFineTuningJobsListEventsArgs(BaseModel):
+    id: str
+    after: NotGivenOr[str] = NOT_GIVEN
+    limit: NotGivenOr[int] = NOT_GIVEN
+
+
 class CLIFineTuningJobs:
     @staticmethod
     def retrieve(args: CLIFineTuningJobsRetrieveArgs) -> None:
@@ -89,4 +116,15 @@ def cancel(args: CLIFineTuningJobsCancelArgs) -> None:
         fine_tuning_job: FineTuningJob = get_client().fine_tuning.jobs.cancel(
             fine_tuning_job_id=args.id
         )
-        print_model(fine_tuning_job)
+        print_model(fine_tuning_job)
+    
+    @staticmethod
+    def list_events(args: CLIFineTuningJobsListEventsArgs) -> None:
+        fine_tuning_job_events: SyncCursorPage[
+            FineTuningJobEvent
+        ] = get_client().fine_tuning.jobs.list_events(
+            fine_tuning_job_id=args.id,
+            after=args.after or NOT_GIVEN,
+            limit=args.limit or NOT_GIVEN,
+        )
+        print_model(fine_tuning_job_events)