๐ง AI Agents for AutomationMay 25, 2026โ
Tests passing
Agent Workflow Simulator
A Python library and CLI tool that allows developers to simulate AI agent workflows before deploying them. It provides interactive feedback on agent decisions, logs, and potential bottlenecks, enabling rapid debugging and optimization of automation processes.
What It Does
- Simulate agent workflows step-by-step.
- Log simulation details to a file or standard output.
- Identify potential bottlenecks and errors in workflows.
Installation
Install the required dependencies using pip:
pip install clickUsage
CLI Usage
Run the tool from the command line:
python agent_workflow_simulator.py --workflow <path_to_workflow_file> [--log-file <path_to_log_file>]--workflow: Path to the workflow file (JSON format).--log-file: (Optional) Path to a log file to save simulation logs.
Example Workflow File
{
"steps": [
{"name": "Step 1", "action": "Action 1", "execution_time": 1},
{"name": "Step 2", "action": "Action 2", "execution_time": 2}
]
}Library Usage
You can also use the simulator as a Python library:
from agent_workflow_simulator import simulate_workflow
workflow = {
"steps": [
{"name": "Step 1", "action": "Action 1", "execution_time": 1},
{"name": "Step 2", "action": "Action 2", "execution_time": 2}
]
}
simulate_workflow(workflow, log_file="simulation.log")Source Code
import json
import logging
import time
import click
def simulate_workflow(workflow, log_file=None):
"""
Simulates the agent workflow step-by-step.
Args:
workflow (dict): The workflow definition.
log_file (str): Optional log file to write simulation logs.
Returns:
None
"""
logger = logging.getLogger("AgentWorkflowSimulator")
logger.setLevel(logging.INFO)
handler = logging.FileHandler(log_file) if log_file else logging.StreamHandler()
formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s')
handler.setFormatter(formatter)
logger.handlers = [handler] # Ensure no duplicate handlers
logger.info("Starting workflow simulation...")
steps = workflow.get("steps", [])
if not steps:
logger.error("No steps found in the workflow.")
return
for step in steps:
step_name = step.get("name", "Unnamed Step")
action = step.get("action", "No action defined")
logger.info(f"Executing step: {step_name}")
logger.info(f"Action: {action}")
try:
# Simulate execution time
execution_time = float(step.get("execution_time", 1))
time.sleep(execution_time)
logger.info(f"Step '{step_name}' completed in {execution_time} seconds.")
except Exception as e:
logger.error(f"Error during step '{step_name}': {e}")
logger.info("Workflow simulation completed.")
@click.command()
@click.option('--workflow', type=click.Path(exists=True), required=True, help='Path to the workflow file (JSON or Python script).')
@click.option('--log-file', type=click.Path(), default=None, help='Optional log file to write simulation logs.')
def main(workflow, log_file):
"""
CLI entry point for the Agent Workflow Simulator.
"""
try:
with open(workflow, 'r') as f:
workflow_data = json.load(f)
simulate_workflow(workflow_data, log_file)
except json.JSONDecodeError:
click.echo("Error: Invalid JSON format in workflow file.", err=True)
except FileNotFoundError:
click.echo("Error: Workflow file not found.", err=True)
except Exception as e:
click.echo(f"An error occurred: {e}", err=True)
if __name__ == "__main__":
main()
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Details
- Tool Name
- agent_workflow_simulator
- Category
- AI Agents for Automation
- Generated
- May 25, 2026
- Tests
- Passing โ
- 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/2026-05-25/agent_workflow_simulator cd generated_tools/2026-05-25/agent_workflow_simulator pip install -r requirements.txt 2>/dev/null || true python agent_workflow_simulator.py