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Fuse consecutive sem_filters into one AND-ed LM call when safe, and suggest batched shard sizes for tiny multi-unit agentic corpora from length stats. Co-authored-by: Cursor <cursoragent@cursor.com>
ShauryaVM
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Two related planning tweaks:
OperatorFusionOptimizerAND-merges consecutive safesem_filters into one LM call (skips anything with cascades/examples).batched+ a char-budgeted shard size instead of always going per-unit.Neither path needs an LM to exercise; tests cover both.
How I tested
pytest tests/test_operator_fusion.py tests/test_agentic_map_reduce.py