DebarghaG/proofofthought
Proof of thought : LLM-based reasoning using Z3 theorem proving with multiple backend support (SMT2 and JSON DSL)
This tool helps AI engineers and researchers working with large language models (LLMs) to improve their reasoning capabilities. It takes a natural language question, processes it through an LLM, and then verifies the logical consistency of the LLM's thought process using a theorem prover. The output is a more accurate and logically sound answer, especially for complex analytical tasks.
365 stars. Available on PyPI.
Use this if you are building LLM applications and need to ensure the logical correctness and reliability of their answers for critical reasoning problems.
Not ideal if your primary goal is simple text generation or summarization, as this tool is specifically designed for enhancing complex logical reasoning.
Stars
365
Forks
24
Language
Python
License
MIT
Category
Last pushed
Feb 08, 2026
Commits (30d)
0
Dependencies
5
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