# Overview CoFHE offers a seamless integration with PyTorch-like APIs to provide encrypted computation capabilities directly within your Python code. The following are the currently supported API features available in the Python bindings for CoFHE. This API closely mirrors the PyTorch functionality, ensuring an easy transition for PyTorch users to CoFHE for privacy-preserving machine learning. We are actively working on expanding this documentation, and will provide a more detailed guide once the Python bindings for CoFHE are publicly released. This section covers some of the already supported API. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://openvector.gitbook.io/docs/python-api-references/overview.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.