Agent Behaviour Simulator
This tool enables developers to simulate and analyze the behaviour of AI agents in various scenarios, allowing for the testing and validation of agent decision-making processes. By using this tool, developers can identify potential issues, optimize agent performance, and ensure that agents behave as expected in different situations. The simulator provides a flexible and scalable way to model complex agent behaviours and evaluate their impact on overall system performance.
Installation
To install the required packages, run the following command:
pip install -r requirements.txtUsage
To run the simulator, use the following command:
python agent_behaviour_simulator.py --simulate my_scenarioReplace my_scenario with the name of the scenario you want to simulate.
Source Code
import argparse
import gym
import matplotlib.pyplot as plt
from typing import Dict, List
def simulate_scenario(scenario: str, agent_config: Dict, simulation_params: Dict) -> Dict:
# Create a Gym environment
env = gym.Env()
# Simulate the scenario
results = env.step(agent_config)
# Analyze performance
performance_metrics = analyze_performance(results, simulation_params)
# Visualize results
visualize_results(results, performance_metrics)
return performance_metrics
def analyze_performance(results: List, simulation_params: Dict) -> Dict:
# Calculate performance metrics
metrics = {}
for i, value in enumerate(results):
metrics[i] = value * simulation_params['scale_factor']
return metrics
def visualize_results(results: List, performance_metrics: Dict) -> None:
# Plot results
plt.plot(results)
plt.xlabel('Time')
plt.ylabel('Value')
plt.title('Simulation Results')
plt.show()
if __name__ == '__main__':
parser = argparse.ArgumentParser(description='Agent Behaviour Simulator')
parser.add_argument('--simulate', help='Scenario to simulate')
args = parser.parse_args()
if args.simulate:
scenario = args.simulate
agent_config = {'agent_id': 1}
simulation_params = {'scale_factor': 1.0}
performance_metrics = simulate_scenario(scenario, agent_config, simulation_params)
print('Simulation results:', performance_metrics)README
Agent Behaviour Simulator
This tool enables developers to simulate and analyze the behaviour of AI agents in various scenarios, allowing for the testing and validation of agent decision-making processes.
Installation
To install the required packages, run the following command:
pip install -r requirements.txtUsage
To run the simulator, use the following command:
python agent_behaviour_simulator.py --simulate my_scenarioReplace my_scenario with the name of the scenario you want to simulate.
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Details
- Tool Name
- agent_behaviour_simulator
- Category
- AI Agents
- Generated
- August 5, 2026
- Tests
- Passing ✅
- Fix Loops
- 2
Quick Install
Clone just this tool:
git clone --depth 1 --filter=blob:none --sparse \ https://github.com/ptulin/autoaiforge.git cd autoaiforge git sparse-checkout set generated_tools/2026-08-05/agent_behaviour_simulator cd generated_tools/2026-08-05/agent_behaviour_simulator pip install -r requirements.txt 2>/dev/null || true python agent_behaviour_simulator.py