Reading or editing a file causes a large memory spike

[neubig]

When reading in a large file, we see a memory spike.

Probably this function would need to be made more general to read only the parts of the file that are necessary for the particular command:

openhands-aci/openhands_aci/editor/editor.py

Lines 381 to 388 in f9774a3

	def read_file(self, path: Path) -> str:
	"""
	Read the content of a file from a given path; raise a ToolError if an error occurs.
	"""
	try:
	return path.read_text()
	except Exception as e:
	raise ToolError(f'Ran into {e} while trying to read {path}') from None

We should:

1. write tests that measure the memory usage when reading in or editing large files and see that they fail currently (e.g. read in a 10MB file and see that it requires over 10MB of memory)
2. modify the existing implementation to reduce memory requirements when editing only a small part of a larger file
3. run tests to make sure that they pass