AI-Planning/l2p
Library for LLM-driven action model acquisition via natural language
This library helps developers working with AI planning systems to automatically translate natural language descriptions of tasks and environments into formal planning models. You input a plain English description of a task (like 'stacking blocks') and its rules, and it outputs a PDDL (Planning Domain Definition Language) file, ready to be solved by an automated planner. It's for AI researchers and developers building systems that need to reason about actions and states from human-readable inputs.
Available on PyPI.
Use this if you need to rapidly convert natural language task descriptions into standardized PDDL planning models for automated AI planning systems.
Not ideal if you are looking for a ready-to-use planning application that doesn't require programming or understanding of AI planning concepts.
Stars
48
Forks
11
Language
Python
License
MIT
Category
Last pushed
Feb 18, 2026
Commits (30d)
0
Dependencies
4
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