Replace deterministic fallbacks with explicit abstention states

[sudoantonio]

Objective

Remove silent inference fallbacks and distinguish uncertainty from negative answers.

Acceptance criteria

• The AI client and algorithms expose an explicit abstention/error state.
• A failed extraction cannot silently become the first allowed answer.
• Logs identify model output, validation failure and fallback policy.
• Tests verify fail-closed behaviour for malformed and incomplete responses.