feat(prebuilt): support DynamicRunnable in _get_model
#5955
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- Add efficient PyArrow IPC serialization for pandas DataFrames and Series - Implement intelligent fallback to pickle for complex object types (lists, dicts) - Support both msgpack and JSON serialization modes - Preserve all pandas features: MultiIndex, dtypes, structure - Add comprehensive test coverage (122 tests) - Add pyarrow>=20.0.0 dependency to langgraph-checkpoint Performance benefits: - ~45% smaller serialized size - Sub-millisecond serialization/deserialization - Better cross-language compatibility Handles pandas nuances: - MultiIndex (both row and column) - All pandas dtypes including nullable, categorical, datetime - Arbitrary objects in cells with graceful fallback - Complete structure preservation
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Description
Currently, the
_get_modelfunction to fetch the model for structured output binding does not supportDynamicRunnable. Using the providedpreparemethod, we can simply fetch to configured runnable which can then be processed.Tests
Added three more asserts to
test_get_model.