SagemakerJobRuntimeServiceClient#
Index > SagemakerJobRuntimeService > SagemakerJobRuntimeServiceClient
Auto-generated documentation for SagemakerJobRuntimeService type annotations stubs module mypy-boto3-sagemakerjobruntime.
SagemakerJobRuntimeServiceClient#
Type annotations and code completion for boto3.client("sagemakerjobruntime").
boto3 documentation
# SagemakerJobRuntimeServiceClient usage example
from boto3.session import Session
from mypy_boto3_sagemakerjobruntime.client import SagemakerJobRuntimeServiceClient
def get_sagemakerjobruntime_client() -> SagemakerJobRuntimeServiceClient:
return Session().client("sagemakerjobruntime")
Exceptions#
boto3 client exceptions are generated in runtime.
This class provides code completion for boto3.client("sagemakerjobruntime").exceptions structure.
# Exceptions.exceptions usage example
client = boto3.client("sagemakerjobruntime")
try:
do_something(client)
except (
client.exceptions.AccessDeniedException,
client.exceptions.ClientError,
client.exceptions.ConflictException,
client.exceptions.InternalServiceError,
client.exceptions.ResourceNotFoundException,
client.exceptions.ServiceQuotaExceededException,
client.exceptions.ThrottlingException,
client.exceptions.ValidationException,
) as e:
print(e)
# Exceptions.exceptions type checking example
from mypy_boto3_sagemakerjobruntime.client import Exceptions
def handle_error(exc: Exceptions.AccessDeniedException) -> None:
...
Methods#
can_paginate#
Type annotations and code completion for boto3.client("sagemakerjobruntime").can_paginate method.
boto3 documentation
# can_paginate method definition
def can_paginate(
self,
operation_name: str,
) -> bool:
...
generate_presigned_url#
Type annotations and code completion for boto3.client("sagemakerjobruntime").generate_presigned_url method.
boto3 documentation
# generate_presigned_url method definition
def generate_presigned_url(
self,
ClientMethod: str,
Params: Mapping[str, Any] = ...,
ExpiresIn: int = 3600,
HttpMethod: str = ...,
) -> str:
...
complete_rollout#
Marks a rollout as complete, indicating that no further turns will be appended to the trajectory.
Type annotations and code completion for boto3.client("sagemakerjobruntime").complete_rollout method.
boto3 documentation
# complete_rollout method definition
def complete_rollout(
self,
*,
JobArn: str,
TrajectoryId: str,
Status: CompletionStatusType = ..., # (1)
ClientToken: str = ...,
) -> dict[str, Any]:
...
# complete_rollout method usage example with argument unpacking
kwargs: CompleteRolloutRequestTypeDef = { # (1)
"JobArn": ...,
"TrajectoryId": ...,
}
parent.complete_rollout(**kwargs)
sample#
Sends an inference request to the model during a job execution.
Type annotations and code completion for boto3.client("sagemakerjobruntime").sample method.
boto3 documentation
# sample method definition
def sample(
self,
*,
JobArn: str,
TrajectoryId: str,
Body: BlobTypeDef,
) -> SampleResponseTypeDef: # (1)
...
# sample method usage example with argument unpacking
kwargs: SampleRequestTypeDef = { # (1)
"JobArn": ...,
"TrajectoryId": ...,
"Body": ...,
}
parent.sample(**kwargs)
sample_with_response_stream#
Sends a streaming inference request to the model during a job execution.
Type annotations and code completion for boto3.client("sagemakerjobruntime").sample_with_response_stream method.
boto3 documentation
# sample_with_response_stream method definition
def sample_with_response_stream(
self,
*,
JobArn: str,
TrajectoryId: str,
Body: BlobTypeDef,
) -> SampleWithResponseStreamResponseTypeDef: # (1)
...
# sample_with_response_stream method usage example with argument unpacking
kwargs: SampleWithResponseStreamRequestTypeDef = { # (1)
"JobArn": ...,
"TrajectoryId": ...,
"Body": ...,
}
parent.sample_with_response_stream(**kwargs)
update_reward#
Updates the reward values for a trajectory and transitions it to reward-received status, signaling that it is eligible for processing.
Type annotations and code completion for boto3.client("sagemakerjobruntime").update_reward method.
boto3 documentation
# update_reward method definition
def update_reward(
self,
*,
JobArn: str,
TrajectoryId: str,
Rewards: Sequence[float],
ClientToken: str = ...,
) -> dict[str, Any]:
...
# update_reward method usage example with argument unpacking
kwargs: UpdateRewardRequestTypeDef = { # (1)
"JobArn": ...,
"TrajectoryId": ...,
"Rewards": ...,
}
parent.update_reward(**kwargs)