Toward PDDL Planning Copilot
Getting Started
We present the Planning Copilot, a chatbot that brings together multiple planning tools and lets users run them using natural language instructions. It’s built on the Model Context Protocol (MCP), which makes it easy for language models to interact with external tools and systems.
The Planning Copilot is modular, so each part can be swapped out, upgraded, or extended without affecting the rest of the system. In the current implementation, Solve uses FastDownward for classical planning and Metric-FF for numeric planning, Verify uses VAL to validate plans, and Execute relies on PDDL_Plus_Parser to simulate and track plan execution.
Dependencies
- Make sure that Python 3.10 is installed and active (via virtual environment or conda environment).
- Install the latest version of Ollama to run it locally.
- Install all project requirements:
python -m pip install -r requirements.txtUsage
How to use the environment:
- Update all the paths and settings in the config.py file.
- Run the LLM chat with:
