Proof assistants enable users to develop machine-checked proofs regarding software-related properties.Unfortunately, the interactive nature of these proof assistants imposes most of the proof burden on the user, making formal verification a complex, and time-consuming endeavor.Recent automation techniques based on neural methods address this issue, but require good programmatic support for collecting data and interacting with proof assistants.This paper presents CoqPyt, a Python tool for interacting with the Coq proof assistant.CoqPyt improves on other Coq-related tools by providing novel features, such as the extraction of rich premise data.We expect our work to aid development of tools and techniques, especially LLM-based, designed for proof synthesis and repair.A video describing and demonstrating CoqPyt is available at: https://youtu.be/fk74o0rePM8.
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Carrott et al. (2024) studied this question.
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