๐ง AI Agents for AutomationMay 25, 2026โ
Tests passing
Auto Agent Deployer
A CLI tool that streamlines the deployment of AI agents, like Claude or Gemini Omni, for automation tasks. It allows developers to define workflows, configure agent settings, and deploy agents to cloud or local environments with minimal effort.
What It Does
- Deploy AI agents using YAML configuration files.
- Support for AWS Lambda deployment.
- Logging for deployment status and errors.
Installation
- Python 3.7+
- boto3
- PyYAML
Usage
Run the tool with the following command:
python auto_agent_deployer.py --config <path-to-yaml-config>Example YAML Configuration
agents:
- name: example_agent
type: aws_lambda
runtime: python3.8
role: arn:aws:iam::123456789012:role/service-role/example-role
handler: lambda_function.lambda_handler
code_zip: !!binary |
U29tZSBiaW5hcnkgZGF0YSBoZXJl
description: Example Lambda Function
timeout: 15
memory_size: 128Source Code
import argparse
import yaml
import boto3
import logging
import os
def setup_logging():
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
return logging.getLogger('AutoAgentDeployer')
def parse_arguments():
parser = argparse.ArgumentParser(description='Auto Agent Deployer: Deploy AI agents using YAML configuration.')
parser.add_argument('--config', required=True, help='Path to the YAML configuration file.')
return parser.parse_args()
def load_yaml_config(file_path):
if not os.path.exists(file_path):
raise FileNotFoundError(f"Configuration file '{file_path}' not found.")
with open(file_path, 'r') as file:
return yaml.safe_load(file)
def deploy_to_aws_lambda(agent_config, logger):
try:
client = boto3.client('lambda')
response = client.create_function(
FunctionName=agent_config['name'],
Runtime=agent_config['runtime'],
Role=agent_config['role'],
Handler=agent_config['handler'],
Code={'ZipFile': agent_config['code_zip']},
Description=agent_config.get('description', ''),
Timeout=agent_config.get('timeout', 15),
MemorySize=agent_config.get('memory_size', 128)
)
logger.info(f"Successfully deployed agent '{agent_config['name']}' to AWS Lambda.")
return response
except Exception as e:
logger.error(f"Failed to deploy agent '{agent_config['name']}': {str(e)}")
raise
def deploy_agents(config, logger):
for agent in config.get('agents', []):
if agent['type'] == 'aws_lambda':
deploy_to_aws_lambda(agent, logger)
else:
logger.warning(f"Unsupported agent type '{agent['type']}' for agent '{agent['name']}'.")
def main():
logger = setup_logging()
args = parse_arguments()
try:
config = load_yaml_config(args.config)
deploy_agents(config, logger)
except Exception as e:
logger.error(f"Error during deployment: {str(e)}")
if __name__ == '__main__':
main()
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Details
- Tool Name
- auto_agent_deployer
- Category
- AI Agents for Automation
- Generated
- May 25, 2026
- Tests
- Passing โ
- Fix Loops
- 3
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/auto_agent_deployer cd generated_tools/2026-05-25/auto_agent_deployer pip install -r requirements.txt 2>/dev/null || true python auto_agent_deployer.py