GitHub user xintongsong added a comment to the discussion: WIP: Replay-based 
Per Action State Consistency

Adding to the problem section: Model inference / generation is 
non-deterministic. Repeating model calls multiple times with identical inputs 
may result in different outputs. This creates inconsistency, especially when we 
rely on the model outputs to decide what to do next (reasoning, tool calls, 
etc.). What should we do with the half performed actions when the model makes a 
different decision after recovery? I think the best way is to never ask the 
model to make a decision twice.

GitHub link: 
https://github.com/apache/flink-agents/discussions/108#discussioncomment-14082088

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