• agent.py contains the agent training code
• env.py contains the gymnasium supported integrated Kubernetes/OpenFaaS environment for interaction and feedback loop
• test_agent.py & test_env.py contains the code for evaluation of the trained agent and its environment
• requirements.txt contains the project requirements

Note:
To successfully run the agent please update the relevent placeholders marked with $PLACEHOLDER.