Minimal context exposure is a prompt-hardening technique: give a model only the information needed to complete its task. Filter variable input before assembling the prompt, rather than asking the model to ignore unnecessary fields after they have entered its context. section 10.4 section 10.4.1
For a deployment notification assistant, prepare the payload in three steps:
- Keep the fields needed for the notification: service name, environment, deployment time, and status. section 10.4.1
- Extract or strip unrelated internal identifiers, debug flags, configuration values, and service secrets before inserting the payload into the template. section 10.4.1
- Place the filtered payload between explicit markers and instruct the assistant to treat it as data, not instructions. section 10.4.1
This technique limits what the assistant could disclose or use if another defense is partly bypassed. It complements, rather than replaces, delimiters, trust framing, a narrow instruction set, and an exact fallback for payloads without recognizable deployment data. When reviewing a production prompt, check both its instructions and the fields supplied to it. section 10.4 section 10.4.1
