feat: add serialization of numpy ndarray

[marcklingen]

Add serialization for NumPy ndarray objects to allow them in span input/output.

This implements the simple list conversion approach, transforming np.ndarray instances into standard Python lists for JSON serialization.

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Important

Adds support for serializing NumPy arrays in EventSerializer by converting them to lists, with tests for various array types.

• Behavior:
  • Adds support for serializing np.ndarray objects in EventSerializer by converting them to lists.
  • Handles 1D, 2D, float, empty, and mixed-type arrays.
• Tests:
  • Adds test_numpy_arrays() in test_serializer.py to verify serialization of various np.ndarray types.

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Greptile Summary

Disclaimer: Experimental PR review

Added NumPy array serialization support to langfuse/_utils/serializer.py, enabling ndarray objects to be used in span input/output by converting them to Python lists.

• Added ndarray serialization to EventSerializer using tolist() method for JSON compatibility
• Added comprehensive test coverage in tests/test_serializer.py for various array types (1D, 2D, float, empty, mixed)
• Builds on existing NumPy support that was already handling float32 types
• Implementation follows established pattern for handling numpy.generic types

[greptile-apps]

LGTM

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