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You can indeed control the size of the tf buffer that your code uses. When creating the TransformListener, you can pass in a ros::Duration object that sets the length of the transform cache. See the TransformListener constructor docs for more info and the specific ordering of arguments and such.

This is assuming you are using the cpp version of the tf library. If you are using Python, feel free to examine the Code API for the Python version, as there is likely an analogous constructor for Python.