checkpointing

problem

python dspy gepa prompt-optimization checkpointing llm dspy GEPA

150 tok +1

DSPy GEPA silently reuses stale checkpoints with changed metrics, leading to zero rollouts

DSPy GEPA silently resumes a stale checkpoint from a shared log_dir after you change the metric: optimization returns the previous run's best program after 0 new rollouts. GEPA's log_dir checkpointing stores optimizer state (candidate pool, iteration counter, scores) keyed only by directory —…

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