Auto-Lookup > Amazon SageMaker

Access Token

Description:

Specifies the access token that connects to your data source.

Allowed Values:

A list of access tokens configured for your environment.

Default Value:

None

Accepts Variables:

No

Example:

This is a common configuration field that is used in many examples. Refer to:

• Examples - Step-by-step use case examples, information about what types of examples are provided in the AgilePoint NX Product Documentation, and other resources where you can find more examples.

Add New

Opens this Screen:

Access Token for Amazon Web Services

Function of this Screen:

Configure an access token to connect to Amazon Web Services..

Lookup Name

Description:

Specifies the name you want to give to your lookup procedure.

Allowed Values:

One line of text (a string).

Accepted:

• Letters
• Numbers
• Spaces

Default Value:

None

Accepts Variables:

No

Example:

Refer to:

• (Example) How Do I Configure a Pop-Up Select Control to Bind the Lookup Values to a Data Grid?
• (Example) Configure an Auto-Lookup Form Control with Microsoft Excel

Endpoint

Description:

Specifies the Amazon SageMaker endpoint to execute the AI model to use for predictions.

Allowed Values:

An endpoint from the list.

When you select the access token in the Amazon Web Services field, this field shows the endpoints associated with the access token.

Default Value:

None

Accepts Variables:

No

Example:

Refer to:

• (External) Supercharge Your end-to-end Orchestration with AI Control Tower: Real-Time Monitoring and Smart Decision Making

Limitations:

Some information about third-party integrations is outside the scope of the AgilePoint NX Product Documentation. It is the responsibility of the vendors who create and maintain these technologies to provide this information. This includes specific business use cases and examples; explanations for third-party concepts; details about the data models and input and output data formats for third-party technologies; and various types of IDs, URL patterns, connection string formats, or other technical information that is specific to the third-party technologies. For more information, refer to Where Can I Find Information and Examples for Third-Party Integrations?

Host Name

Description:

Specifies the host name of the target container to use for predictions.

If you select a multi-container endpoint in the Endpoint field, you can specify the container host name to invoke.

Allowed Values:

One line of text (a string) that represents a target container host name from Amazon SageMaker.

Default Value:

None

Accepts Variables:

Yes

Example:

• AmazonSagemaker-02101989
• Also refer to:
  • (External) Supercharge Your end-to-end Orchestration with AI Control Tower: Real-Time Monitoring and Smart Decision Making

Target Model

Description:

Specifies the name of the target model from the Amazon SageMaker endpoint to use for predictions.

This field enables when you select a multi-model endpoint in the Endpoint field.

Allowed Values:

A target model from the list.

When you select the endpoint from the Endpoint field, this field shows the target model names associated with the endpoint.

Default Value:

None

Example:

Refer to:

• (External) Supercharge Your end-to-end Orchestration with AI Control Tower: Real-Time Monitoring and Smart Decision Making

Limitations:

Some information about third-party integrations is outside the scope of the AgilePoint NX Product Documentation. It is the responsibility of the vendors who create and maintain these technologies to provide this information. This includes specific business use cases and examples; explanations for third-party concepts; details about the data models and input and output data formats for third-party technologies; and various types of IDs, URL patterns, connection string formats, or other technical information that is specific to the third-party technologies. For more information, refer to Where Can I Find Information and Examples for Third-Party Integrations?

Content Type

Description:

Specifies the format to send the request.

Allowed Values:

• CSV
• JSON

Default Value:

None

Accepts Variables:

No

Example:

Refer to:

• (External) Supercharge Your end-to-end Orchestration with AI Control Tower: Real-Time Monitoring and Smart Decision Making

Configure Request Mapping

Opens this Screen:

Configure Lookup > Request > Configure Request Mapping

To Open this Field:

1. In the Content Type field, select one of these:
   • CSV
   • JSON

Function of this Screen:

Connects the request payload from Amazon SageMaker to the process schema.

Variable / Schema Mapper / Grid View

Description:

Specifies how to connect the request data from Amazon SageMaker to your AgilePoint process schema.

Allowed Values:

• Variable - Specifies a variable that stores the payload. The value of the process data variable must be in a valid JSON format.
• Schema Mapper - Specifies a payload to use to connect to the AgilePoint process schema.

  Click the Map Schema button to open the Schema Mapper.

  Use this screen to connect the payload values to the AgilePoint process schema.

• Grid View - Sends a request in specified key-value pairs.

Default Value:

Variable

Accepts Variables:

Yes

Limitations:

Some information about third-party integrations is outside the scope of the AgilePoint NX Product Documentation. It is the responsibility of the vendors who create and maintain these technologies to provide this information. This includes specific business use cases and examples; explanations for third-party concepts; details about the data models and input and output data formats for third-party technologies; and various types of IDs, URL patterns, connection string formats, or other technical information that is specific to the third-party technologies. For more information, refer to Where Can I Find Information and Examples for Third-Party Integrations?

Column Name

Description:

Specifies the name of the column to use for predictions.

To Open this Field:

1. On the Configure Request Mapping screen, select Grid View.

Allowed Values:

A column name from Amazon SageMaker.

Default Value:

None

Accepts Variables:

No

Limitations:

Some information about third-party integrations is outside the scope of the AgilePoint NX Product Documentation. It is the responsibility of the vendors who create and maintain these technologies to provide this information. This includes specific business use cases and examples; explanations for third-party concepts; details about the data models and input and output data formats for third-party technologies; and various types of IDs, URL patterns, connection string formats, or other technical information that is specific to the third-party technologies. For more information, refer to Where Can I Find Information and Examples for Third-Party Integrations?

Column Value

Description:

Specifies a value for the column in a key-value pair.

To Open this Field:

1. On the Configure Request Mapping screen, select Grid View.

Allowed Values:

A number or a text string that can contain spaces.

Default Value:

None

Accepts Variables:

Yes

Limitations:

Some information about third-party integrations is outside the scope of the AgilePoint NX Product Documentation. It is the responsibility of the vendors who create and maintain these technologies to provide this information. This includes specific business use cases and examples; explanations for third-party concepts; details about the data models and input and output data formats for third-party technologies; and various types of IDs, URL patterns, connection string formats, or other technical information that is specific to the third-party technologies. For more information, refer to Where Can I Find Information and Examples for Third-Party Integrations?

Add

Function:

Adds a row for the Column Name and Column Value.

To Open this Field:

1. On the Configure Request Mapping screen, select Grid View.

Delete

Function:

Deletes the selected row.

To Open this Field:

1. On the Configure Request Mapping screen, select Grid View.

Endpoint

Description:

Specifies the Amazon SageMaker endpoint to execute the AI model to use for predictions.

Allowed Values:

An endpoint from the list.

When you select the access token in the Amazon Web Services field, this field shows the endpoints associated with the access token.

Default Value:

None

Accepts Variables:

No

Example:

Refer to:

• (External) Supercharge Your end-to-end Orchestration with AI Control Tower: Real-Time Monitoring and Smart Decision Making

Limitations:

Some information about third-party integrations is outside the scope of the AgilePoint NX Product Documentation. It is the responsibility of the vendors who create and maintain these technologies to provide this information. This includes specific business use cases and examples; explanations for third-party concepts; details about the data models and input and output data formats for third-party technologies; and various types of IDs, URL patterns, connection string formats, or other technical information that is specific to the third-party technologies. For more information, refer to Where Can I Find Information and Examples for Third-Party Integrations?

Host Name

Description:

Specifies the host name of the target container to use for predictions.

If you select a multi-container endpoint in the Endpoint field, you can specify the container host name to invoke.

Allowed Values:

One line of text (a string) that represents a target container host name from Amazon SageMaker.

Default Value:

None

Accepts Variables:

Yes

Example:

• AmazonSagemaker-02101989
• Also refer to:
  • (External) Supercharge Your end-to-end Orchestration with AI Control Tower: Real-Time Monitoring and Smart Decision Making

Target Model

Description:

Specifies the name of the target model from the Amazon SageMaker endpoint to use for predictions.

This field enables when you select a multi-model endpoint in the Endpoint field.

Allowed Values:

A target model from the list.

When you select the endpoint from the Endpoint field, this field shows the target model names associated with the endpoint.

Default Value:

None

Example:

Refer to:

• (External) Supercharge Your end-to-end Orchestration with AI Control Tower: Real-Time Monitoring and Smart Decision Making

Limitations:

Some information about third-party integrations is outside the scope of the AgilePoint NX Product Documentation. It is the responsibility of the vendors who create and maintain these technologies to provide this information. This includes specific business use cases and examples; explanations for third-party concepts; details about the data models and input and output data formats for third-party technologies; and various types of IDs, URL patterns, connection string formats, or other technical information that is specific to the third-party technologies. For more information, refer to Where Can I Find Information and Examples for Third-Party Integrations?

Map Response To App Schema / Store Response In This Variable

Description:

Specifies where to store the response from Amazon SageMaker.

Allowed Values:

• Map Response To App Schema – Select this option if you want to map the information from the Amazon SageMaker data model to your process schema.

  Click the Schema Mapping button to open the Schema Mapper.

  Use this screen to connect the response to the data model for your process.

• Store Response In This Variable – Select this option if you want to store the information from Amazon SageMaker to a variable in the AgilePoint NX app.

  In the text field, specify a variable that accepts an alphanumeric string in JSON format.

Default Value:

Map Response To App Schema

Accepts Variables:

Yes

Example:

Refer to:

• (External) Supercharge Your end-to-end Orchestration with AI Control Tower: Real-Time Monitoring and Smart Decision Making

Limitations:

Some information about third-party integrations is outside the scope of the AgilePoint NX Product Documentation. It is the responsibility of the vendors who create and maintain these technologies to provide this information. This includes specific business use cases and examples; explanations for third-party concepts; details about the data models and input and output data formats for third-party technologies; and various types of IDs, URL patterns, connection string formats, or other technical information that is specific to the third-party technologies. For more information, refer to Where Can I Find Information and Examples for Third-Party Integrations?

Endpoint

Description:

Specifies the Amazon SageMaker endpoint to execute the AI model to use for predictions.

Allowed Values:

An endpoint from the list.

When you select the access token in the Amazon Web Services field, this field shows the endpoints associated with the access token.

Default Value:

None

Accepts Variables:

No

Example:

Refer to:

• (External) Supercharge Your end-to-end Orchestration with AI Control Tower: Real-Time Monitoring and Smart Decision Making

Limitations:

Some information about third-party integrations is outside the scope of the AgilePoint NX Product Documentation. It is the responsibility of the vendors who create and maintain these technologies to provide this information. This includes specific business use cases and examples; explanations for third-party concepts; details about the data models and input and output data formats for third-party technologies; and various types of IDs, URL patterns, connection string formats, or other technical information that is specific to the third-party technologies. For more information, refer to Where Can I Find Information and Examples for Third-Party Integrations?

Host Name

Description:

Specifies the host name of the target container to use for predictions.

If you select a multi-container endpoint in the Endpoint field, you can specify the container host name to invoke.

Allowed Values:

One line of text (a string) that represents a target container host name from Amazon SageMaker.

Default Value:

None

Accepts Variables:

Yes

Example:

• AmazonSagemaker-02101989
• Also refer to:
  • (External) Supercharge Your end-to-end Orchestration with AI Control Tower: Real-Time Monitoring and Smart Decision Making

Target Model

Description:

Specifies the name of the target model from the Amazon SageMaker endpoint to use for predictions.

This field enables when you select a multi-model endpoint in the Endpoint field.

Allowed Values:

A target model from the list.

When you select the endpoint from the Endpoint field, this field shows the target model names associated with the endpoint.

Default Value:

None

Example:

Refer to:

• (External) Supercharge Your end-to-end Orchestration with AI Control Tower: Real-Time Monitoring and Smart Decision Making

Limitations:

Some information about third-party integrations is outside the scope of the AgilePoint NX Product Documentation. It is the responsibility of the vendors who create and maintain these technologies to provide this information. This includes specific business use cases and examples; explanations for third-party concepts; details about the data models and input and output data formats for third-party technologies; and various types of IDs, URL patterns, connection string formats, or other technical information that is specific to the third-party technologies. For more information, refer to Where Can I Find Information and Examples for Third-Party Integrations?

No Items Retrieved

Description:

Specifies the error message to show if the lookup does not return any data.

Allowed Values:

One line of text (a string).

Accepted:

• Letters
• Numbers
• Spaces

Default Value:

None

Lookup Failed

Description:

Specifies the message to show if the data fails to load.

Allowed Values:

More than one line of text.

Default Value:

Failed to load data.