A service extracts the invoice number, date and total from uploaded documents and passes the result to an accounting system. The output must be consistent, because a downstream parser depends on it. Which inference setting is most appropriate?

• AA temperature at or near zero, so the model consistently picks the likeliest continuation.
• BA high temperature, so the model considers more possible readings of the document.
• CA high top p value, to widen the set of tokens the model may choose from.
• DA raised maximum output length, so the model has room to correct itself.