A context engineer is debugging a Databricks agent that staffs an internal IT help desk. The agent is already connected to a retrieval pipeline over a live, continuously updated knowledge base, and relevant KB passages are retrieved and placed in its context on every request. Its system prompt has three parts: a 400-token persona preamble, a 600-token list of every supported software title, and a 200-token closing instruction block – none of which says how to weigh retrieved passages against the model’s own training knowledge. Observed behavior: the agent identifies the user’s intent correctly, and the correct KB passages are present in context, but for version-specific questions, it answers from its training knowledge and recommends releases that the knowledge base marks as deprecated. The team will accept only a change that does not rewrite the full prompt and does not add or modify retrieval infrastructure. Which system-prompt revision corrects the version-accuracy behavior?
Select one answer.
Marked answer: B
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