Considerations for Agentforce Merchandising for B2B Stores

Keep these considerations in mind when using Agentforce Merchandising for B2B Stores.

Required Editions

Language and Locale Support

This feature supports English in these locales.

Locale Code
Locale1 en_LO
Locale2 en_LO

Large Language Model Support

This feature supports these models. For more information about LLM support for the AI agents platform and reasoning engine, see Consideration for Agents.

Model
OpenAI GPT-4 Turbo

Einstein Trust Layer Service Support

This feature supports these Trust Layer services.

Service Description
Dynamic Grounding with Secure Data Retrieval Not required

Prompt Defense (System policies and prompt injection detection)

Supported by the Platform (Employee Agent)
Data Masking Not supported
Toxicity Detection Supported (default from the platform)
Audit and Feedback Supported (default from the platform)

Region Support

Merchandising Agent doesn’t require geo-aware LLM request routing as described in Geo-Aware LLM Request Routing on the Einstein Generative AI Platform.

Feature and Einstein Requests Usage

Einstein Requests is a usage metric for generative AI. The use of generative AI capabilities in either a production or sandbox environment consumes Einstein Requests and possibly Data 360 credits. To learn more, see Einstein Usage.

Feature Limits

Rate Limits for LLM and LLM Credits are available for execution for an extra charge.