# Update a model package stage and status example (boto3)
<a name="model-registry-staging-construct-update-boto3"></a>

To update a model package stage and status, you will need to assume an execution role with the relevant permissions. The following provides an example on how you can update the stage status using the [https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateModelPackage.html](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateModelPackage.html) API using AWS SDK for Python (Boto3).

In this example, the `ModelLifeCycle` stage `"Development"` and stage status `"Approved"` condition keys for the [https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateModelPackage.html](https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_UpdateModelPackage.html) API action has been granted to the your execution role. You can include a description in `stage-description`. See [Set up Staging Construct Examples](model-registry-staging-construct-set-up.md) for more information. 

```
from sagemaker import get_execution_role, session 
import boto3 

region = boto3.Session().region_name role = get_execution_role() 
sm_client = boto3.client('sagemaker', region_name=region)

model_package_update_input_dict = {
    "ModelLifeCycle" : { 
        "stage" : "Development",
        "stageStatus" : "Approved",
        "stageDescription" : "stage-description"
    }
} 
model_package_update_response = sm_client.update_model_package(**model_package_update_input_dict)
```