agent: | Auto Exec |
What is an "Expert"? How do we create our own expert?
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Managing workspaces and access control
DagKnows Architecture Overview
Setting up SSO via Azure AD for Dagknows
Enable "Auto Exec" and "Send Execution Result to LLM" in "Adjust Settings" if desired
(Optionally) Add ubuntu user to docker group and refresh group membership
Deployment of an EKS Cluster with Worker Nodes in AWS
Adding, Deleting, Listing DagKnows Proxy credentials or key-value pairs
Comprehensive AWS Security and Compliance Evaluation Workflow (SOC2 Super Runbook)
AWS EKS Version Update 1.29 to 1.30 via terraform
Instruction to allow WinRM connection
MSP Usecase: User Onboarding Azure + M365
Post a message to a Slack channel
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Open VPN Troubleshooting (Powershell)
Execute a simple task on the proxy
Assign the proxy role to a user
Create roles to access credentials in proxy
Install OpenVPN client on Windows laptop
Setup Kubernetes kubectl and Minikube on Ubuntu 22.04 LTS
Install Prometheus and Grafana on the minikube cluster on EC2 instance in the monitoring namespace
update the EKS versions in different clusters
AI agent session 2024-09-12T09:36:14-07:00 by Sarang Dharmapurikar
Parse EDN content and give a JSON out
Check whether a user is there on Azure AD and if the user account status is enabled
Get the input parameters of a Jenkins pipeline
Filter Out Unused AWS NAT Gateways
This task identifies AWS NAT gateways that have not transferred any data in the past week or threshold, deeming them as "unused", and filters them out for potential optimization or deletion.
- 1nzNVxfke9GGgKv1Fg687Delete AWS NAT Gateways
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There was a problem that the LLM was not able to address. Please rephrase your prompt and try again.This task removes specified NAT gateways in an AWS environment. This cleanup optimizes network infrastructure, enhances security, and reduces costs by eliminating unused resources.
inputsoutputsimport boto3 from botocore.exceptions import (ClientError,BotoCoreError) creds = _get_creds(cred_label)['creds'] access_key = creds['username'] secret_key = creds['password'] def delete_nat_gateways(nat_gateway_list): for nat_gateway_info in nat_gateway_list: region_name = nat_gateway_info['Region'] nat_gateway_id = nat_gateway_info['NatGatewayId'] nat_gateway_state = nat_gateway_info['State'] ec2_client = boto3.client('ec2', aws_access_key_id=access_key,aws_secret_access_key=secret_key,region_name=region_name) if nat_gateway_state == 'available': try: ec2_client.delete_nat_gateway(NatGatewayId=nat_gateway_id) print(f"Deleted NAT Gateway ID: {nat_gateway_id} in region {region_name}") except (ClientError, BotoCoreError, Exception) as e: print(f"Error deleting NAT Gateway {nat_gateway_id} in region {region_name}: {str(e)}") elif nat_gateway_state == 'pending': print(f"NAT Gateway ID: {nat_gateway_id} in region {region_name} is still in 'pending' state and cannot be deleted.") else: print(f"NAT Gateway ID: {nat_gateway_id} in region {region_name} is in '{nat_gateway_state}' state and was not deleted.") ''' unused_nat_gateways = [{'NatGatewayId': 'nat-0bc09626aff12105a', 'Region': 'us-east-1', 'State': 'available'}, {'NatGatewayId': 'nat-0cee3df0c034c58f8', 'Region': 'us-east-1', 'State': 'deleted'}, {'NatGatewayId': 'nat-0b5177c47df82bc51', 'Region': 'us-east-1', 'State': 'deleted'}] # passed down from previous task ''' if not unused_nat_gateways: print("No NAT gateways received for deletion.") else: delete_nat_gateways(unused_nat_gateways)copied1