COMPASS (formally the Infrastructure Continuous Ordinance Mapping for Planning and Siting Systems, or "INFRA-COMPASS") is an innovative software tool that harnesses the power of Large Language Models (LLMs) to automate the compilation and continued maintenance of an inventory of state and local codes and ordinances pertaining to energy infrastructure.
At a high level, COMPASS does two things: it retrieves the right ordinance documents for each jurisdiction you ask about, and then extracts structured data from those documents into a versioned database that downstream users can query as a CSV, Excel workbook, or GeoPackage.
What makes COMPASS different from simply asking ChatGPT for ordinance data is the architecture around the LLM call:
- Structured, downstream-ready output — consistent CSV rows with stable column names, units, and feature labels that drop straight into siting and capacity-modeling tools like reV, GIS workflows, or any pipeline that needs setbacks, height limits, and noise thresholds as numbers rather than prose.
- Hallucination guardrails — cleaned text is checked against the source and dropped if it drifts too far, so fabricated values never reach the database.
- Source-URL traceability — every record carries a URL back to the original ordinance document, so any value can be audited or spot-checked.
- Cost control — cheap heuristic filters reject obviously irrelevant text before any LLM call runs, making it tractable to extract data across hundreds of jurisdictions.
Read more about the tool in the documentation.
The National Laboratories of the Rockies (NLR) typically runs the INFRA-COMPASS pipeline annually and publishes refreshed datasets to OpenEI. The latest published ordinance datasets are available here:
The quickest way to install COMPASS for users is from PyPI:
pip install infra-compassIf you would like to install and run COMPASS from source, we recommend using pixi:
git clone git@github.com:NatLabRockies/COMPASS.git; cd COMPASS
pixi run compassFor detailed instructions and troubleshooting, see the installation documentation.
To run a quick COMPASS demo, set up a personal OpenAI API key and run:
pixi run openai-solar-demo <your API key>This will run a full extraction pipeline for two counties using gpt-4o-mini (costs ~$0.45).
For more information on configuring a COMPASS run, see the
execution basics example.
Please see the Development Guidelines if you wish to contribute code to this repository.