SWE-agent overview

SWE-agent implements an AI software engineering agent that uses language models to fix github issues. Here's what you need to know about the project structure:

• The main entry points to running are in the sweagent/run, in particular run_single.py and run_batch.py, where the latter is used for benchmarking.
• The main class that governs agent behavior is sweagent/agent/agents.py
• The AI agent proposes actions that are executed in sandboxed docker containers
• At the beginning of an agent class, we initialize a SWEEnv class from sweagent/environment/swe_env.py. This class interfaces with the SWE-ReX project to interface with the sandboxed docker containers
• Part of the SWE-agent project are tools in tools/. They are organized in bundles. These bundles are copied to the sandboxed container and made available in the $PATH variable.
• In addition we provide two "inspectors" that allow to inspect trajectories (the output files of agents), inspector_cli.py provides a command line interface and sweagent/inspector/server.py a web interface.