StartBuildWorkflowResponse

pydantic model openapi_client.models.start_build_workflow_response.StartBuildWorkflowResponse

Response from POST /ai/reasoning-policies/{policy_id}/build-workflows. When starting a workflow, returns Message, BuildWorkflowId, Status, and optionally StepFunctionExecutionArn. When action=generate_presigned_url, returns Message and PresignedUrl.

Fields:
field message: StrictStr [Required] (alias 'Message')
Constraints:
  • strict = True

field build_workflow_id: Optional[StrictStr] = None (alias 'BuildWorkflowId')

Present when a build workflow was started.

field status: Optional[StrictStr] = None (alias 'Status')

Initial Bedrock workflow status when a build workflow was started.

field step_function_execution_arn: Optional[StrictStr] = None (alias 'StepFunctionExecutionArn')

Optional ARN of the polling state machine execution when start succeeded.

field presigned_url: Optional[StrictStr] = None (alias 'PresignedUrl')

Present when action=generate_presigned_url.

to_str()

Returns the string representation of the model using alias

Return type:

str

to_json()

Returns the JSON representation of the model using alias

Return type:

str

classmethod from_json(json_str)

Create an instance of StartBuildWorkflowResponse from a JSON string

Return type:

Optional[Self]

to_dict()

Return the dictionary representation of the model using alias.

This has the following differences from calling pydantic’s self.model_dump(by_alias=True):

  • None is only added to the output dict for nullable fields that were set at model initialization. Other fields with value None are ignored.

Return type:

Dict[str, Any]

classmethod from_dict(obj)

Create an instance of StartBuildWorkflowResponse from a dict

Return type:

Optional[Self]