F1 Truncation

The answer stopped because it hit max_tokens, including reasoning models that spend the whole budget thinking and return an empty answer.

How counterfix finds it

Live, free: finish_reason of length / max_tokens; when the provider gives no stop reason, inferred from tokens used and an answer that ends mid-sentence (marked inferred, lower confidence).

Fixes it tries

In this order (a model profile can reorder them). Each one is kept only if it passes 2 of 3 re-runs.

Intervention	Change
raise_max_tokens	Raise max_tokens
raise_max_tokens_more	Raise max_tokens a lot (long answers, or reasoning that uses the budget)
ask_shorter	Ask for an answer short enough to fit the current max_tokens

When no fix verifies

• Ask for a shorter answer
• Split the task into parts