v1.0 — Initial Release

Agent System Simulator v1.0

A runnable multi-agent workflow simulator demonstrating governance, orchestration, and evaluation through working code.

What's included

• Four agent roles: Planner, Executor, Evaluator, Supervisor
• Three demonstration scenarios: normal_success, retry_then_success, fallback_after_failure
• Decision logging, retry/escalation tracking, latency and cost estimation
• Evaluation summary on each run

Quick start

pip install -r requirements.txt
python run_demo.py --scenario normal_success

MIT License.