Agentforce Testing Center: Scope, Cost, and Sandbox Constraints

Agentforce Testing Center is Salesforce’s sandbox-based tool for evaluating whether an agent selects the expected subagent, invokes the expected actions, and produces an acceptable response, using an LLM score of at least 3 out of 5 as a pass. It supports single-utterance and newer conversation-level tests, but is limited to English, does not validate deployed-channel behavior or downstream record outcomes, and consumes Agentforce requests and Flex Credits even in sandbox environments. Salesforce documentation presents differing limits, including up to 500 or 1,000 cases per job and varying job-rate caps, while sandbox selection is important because Developer environments contain metadata but not production records unless data is seeded. The text argues that end-to-end testing complements Testing Center by exercising real chat, messaging, or voice channels across multi-turn, multilingual conversations and checking outcomes such as created cases, changed records, external-system effects, and human handoffs. It recommends using Testing Center for rapid routing and action regression checks and end-to-end testing for channel launches, non-English support, action changes, and release approval, presenting TestMu AI as one platform for conducting multilingual endpoint-based end-to-end tests with automated scenario generation and multiple evaluators.

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