Viewing Details About an AI Application

After an AI application is created, you can view its information on the details page.

Log in to the ModelArts management console. In the navigation pane on the left, choose AI Application Management > AI Applications. The AI Applications page is displayed.

Click the name of the target AI application. The application details page is displayed.

On the application details page, you can view the basic information and model precision of the AI application, and switch tab pages to view more information.

**Table 1** Basic information about an AI application
Parameter	Description
Name	Name of an AI application
Status	Status of an AI application
Version	Current version of an AI application
ID	ID of an AI application
Description	Click the edit button to add the description of an AI application.
Deployment Type	Types of the services that an AI application can be deployed
Meta Model Source	Source of the meta model, which can be training jobs, OBS, or container images.
Training Name	Associated training job if the meta model comes from a training job. Click the training job name to go to its details page.
Training Version	Training job version if the meta model comes from an old-version training job.
Storage path of the meta model	Path to the meta model if the meta model comes from OBS.
Container Image Storage Path	Path to the container image if the meta model comes from a container image.
AI Engine	AI engine if the meta model comes from a training job or OBS.
Engine Package Address	Engine package address if the meta model comes from OBS and AI Engine is Custom.
Runtime Environment	Runtime environment on which the meta model depends if the meta model comes from a training job or OBS and a preset AI engine is used.
Container API	Protocol and port number for starting the AI application if the meta model comes from OBS (AI Engine is Custom) or a container image.
Inference Code	Path to the inference code if the meta model comes from an olde-version training job.
Image Replication	Image replication status if the meta model comes from OBS or a container image.
Dynamic loading	Dynamic loading status if the meta model comes from a training job or OBS.
Size	Size of an AI application
Health Check	Health check status if the meta model comes from OBS or a container image. If health check is enabled, the following parameters are displayed: Check Mode, Health Check URL, Health Check Period, Delay, and Maximum Failures.
AI Application Description	Description document added during the creation of an AI application.
Instruction Set Architecture	System architecture.
Inference Accelerator	Type of inference accelerator cards.

**Table 2** Details page of an AI application
Parameter	Description
Model Precision	Model recall, precision, accuracy, and F1 score of an AI application
Parameter Configuration	API configuration, input parameters, and output parameters of an AI application
Runtime Dependency	Model dependency on the environment. If creating a job failed, edit the runtime dependency. After the modification is saved, the system will automatically use the original image to create the job again.
Events	The progress of key operations during AI application creation Events are stored for three months and will be automatically cleared then. For details about how to view events of an AI application, see Viewing Events of an AI Application.
Constraint	Displays the constraints of service deployment, such as the request mode, boot command, and model encryption, based on the settings during AI application creation. For AI applications in asynchronous request mode, parameters including the input mode, output mode, service startup parameters, and job configuration parameters can be displayed.
Associated Services	The list of services that an AI application was deployed. Click a service name to go to the service details page.