Student Advising Topics in Agentforce Considerations

To use Student Advising Topics in Agentforce, consider supported functionality, usage, limitations and allowances, limits, and other issues.

Required Editions

Available in: Lightning Experience
Available in: Enterprise, Performance, Unlimited, and Developer Editions with Education Cloud and the applicable Agentforce add-on license.

Language and Locale Support

Student Advising Topics in Agentforce supports English in these locales.

Language Locale Code
English English (United States) en_US
English English (United Kingdom) en_GB

Large Language Model Support

Student Advising Topics in Agentforce supports these geo-aware models.

Model
OpenAI and Azure OpenAI GPT-4o (GPT 4 Omni)
OpenAI and Azure OpenAI GPT-4o Mini

Agent actions can make calls to other predefined LLMs. Bring-Your-Own-Model isn’t supported, but custom actions that execute prompt templates can use any Salesforce-managed model. See Large Language Model Support.

Einstein Trust Layer Service Support

Student Advising Topics in Agentforce supports the Trust Layer services supported by the Agentforce Employee Agent type.

Data Cloud One Support

Student Advising Topics in Agentforce is supported in Data Cloud One companion orgs.

Other Limitations

  • Review objects that represent student information and update the records that are used to generate advising summaries.
  • Ensure compliance to institutional policies and data privacy requirements with appropriate access controls.
  • Configure the prompt for the Find Campus Resources agent action with the default search retriever that's based on a data model object.