How To Fix ISLM_API136 - Failed to retrieve model deployment

SAP Error Message - Details

• Message type: E = Error

• Message class: ISLM_API - API Messages

• Message number: 136

• Message text: Failed to retrieve model deployment

Self-Explanatory Message

Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

Unfortunately, there isn't any extra information in this error notice.

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Smart SAP Assistant

• What is the cause and solution for SAP error message ISLM_API136 - Failed to retrieve model deployment ?

  The SAP error message ISLM_API136, which indicates "Failed to retrieve model deployment," typically occurs in the context of SAP's machine learning or predictive analytics services. This error can arise due to various reasons, and understanding the cause is essential for troubleshooting and resolving the issue.
  Possible Causes:
  
  Model Not Deployed: The model you are trying to access may not have been deployed successfully or at all.
  Authorization Issues: The user or service account may not have the necessary permissions to access the model deployment.
  Network Issues: There could be connectivity problems between the SAP system and the service where the model is deployed.
  Configuration Errors: Incorrect configuration settings in the SAP system or the machine learning service can lead to this error.
  Service Availability: The machine learning service or the specific endpoint may be down or experiencing issues.
  
  Solutions:
  
  
  Check Model Deployment:
  
  Verify that the model has been deployed correctly. You can do this by checking the deployment status in the relevant SAP interface or using APIs to list deployed models.
  
  
  
  Review Permissions:
  
  Ensure that the user or service account has the necessary permissions to access the model deployment. This may involve checking roles and authorizations in the SAP system.
  
  
  
  Network Connectivity:
  
  Test the network connection to ensure that there are no issues reaching the machine learning service. This can include checking firewalls, proxies, or VPN settings.
  
  
  
  Configuration Review:
  
  Review the configuration settings related to the machine learning service. Ensure that all required parameters are set correctly and that the service is configured to point to the correct model.
  
  
  
  Service Status:
  
  Check the status of the machine learning service. If the service is down, you may need to wait until it is restored or contact SAP support for assistance.
  
  
  
  Logs and Traces:
  
  Review logs and traces for more detailed error messages that can provide additional context about the failure. This can help identify specific issues that need to be addressed.
  
  
  
  Related Information:
  
  SAP Documentation: Refer to the official SAP documentation for the specific machine learning service you are using. This can provide insights into common issues and troubleshooting steps.
  SAP Community: Engage with the SAP Community forums where other users may have encountered similar issues. You can find solutions or workarounds shared by other users.
  SAP Support: If the issue persists after trying the above solutions, consider reaching out to SAP Support for further assistance. They can provide more in-depth analysis and support.
  
  By following these steps, you should be able to diagnose and resolve the ISLM_API136 error effectively.