base on A non-saturating, open-ended environment for evaluating LLMs in Factorio <h1 align="center">Factorio Learning Environment</h1> <p align="center"> <a href="https://jackhopkins.github.io/factorio-learning-environment/leaderboard">Leaderboard</a> | <a href="https://arxiv.org/abs/2503.09617">Paper</a> | <a href="https://jackhopkins.github.io/factorio-learning-environment/versions/0.3.0.html">Website</a> | <a href="https://jackhopkins.github.io/factorio-learning-environment/sphinx/build/html/">Documentation</a> | <a href="https://discord.gg/zKaV2skewa">Discord (#factorio-learning-env)</a> </p> <p align="center"> An open source framework for developing and evaluating LLM agents in the game of <a href="https://factorio.com/">Factorio</a>. </p> <p align="center"> <img src="https://github.com/JackHopkins/factorio-learning-environment/raw/main/docs/assets/videos/compressed_sulfuric_acid.webp" width="485" height="364" controls/> <img src="https://github.com/JackHopkins/factorio-learning-environment/raw/main/docs/assets/videos/compressed_red_science.webp" width="485" height="364" controls/> </p> <p align="center"><em>Claude Opus 4.1 Plays Factorio</em></p> ## Quick Links - [Installation](#installation) - [Environment](#environment) - [Contributing](#contributing) ## Installation ### Prerequisites - Docker - Python 3.10+ - [Factorio](https://www.factorio.com/) (version 1.1.110), only for optional rendering. ```bash # Core FLE SDK package pip install factorio-learning-environment # With optional features pip install factorio-learning-environment[eval] # For running experiments pip install factorio-learning-environment[mcp] # For MCP protocol support pip install factorio-learning-environment[psql] # For PostgreSQL support pip install factorio-learning-environment[eval,mcp,psql] # All features # Using uv (recommended) uv sync ``` ### Quickstart Use the CLI: ```bash # Activate venv source .venv/bin/activate # Start Factorio cluster fle cluster start # Run evaluation trajectories (requires [eval] dependencies) fle eval --config configs/gym_run_config.json ``` ## Environment FLE is an agent evaluation environment built on the game of Factorio, a popular resource management simulation game. Agents interact with **FLE** by code synthesis through a **REPL** (Read-Eval-Print-Loop) pattern: 1. **Observation**: The agent observes the world through the output streams (stderr/stdout) of their last program. 2. **Action**: The agent generates a Python program to perform their desired action. 3. **Feedback**: The environment executes the program, assigns variables, add classes/functions to the namespace, and provides an output stream. ## Contributing Join our team and contribute to one of the AI research community's most challenging problems - building open-ended / unsaturateable evals for post-AGI frontier models. If you want to contribute, please read [CONTRIBUTING.md](CONTRIBUTING.md) first. [](https://deepwiki.com/JackHopkins/factorio-learning-environment)", Assign "at most 3 tags" to the expected json: {"id":"13138","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"