Setup and installation of 'LangFlow & LangChain' on Azure

This section describes how to launch and connect to LangChain-LangFlow VM solution on Azure.

1. Open AI App Development using LangChain & LangFlow VM listing on Azure Marketplace.

2. Click on Get It Now

• Login with your credentials, provide the details here. Once done click on Continue.

-It will take you to the Product details page. Click on Create.

• Select a Resource group for your virtual machine
• Select a Region where you want to launch the VM(such as East US)

• Note: If you see “This image is not compatible with selected security type. To keep trusted launch virtual machines, select a compatible image. Otherwise change your security type back to Standard” error message below the Image name as shown in the screenshot below then please change the Security type to Standard.

• Optionally change the number of cores and amount of memory. Make sure to use instance size with 8GB or higher RAM for swift performance of the solution.

Select the Authentication type as Password and enter Username as ubuntu and Password of your choice.

• Optionally change the OS disk size and its type.

• Optionally change the network and subnetwork names. Be sure that whichever network you specify has ports 22 (for ssh), 3389 (for RDP) , 80 (for HTTP) and 443 (for HTTPS) exposed.

The VM comes with the preconfigured NSG rules. You can check them by clicking on Create New option available under the security group option.

• Optionally go to the Management, Advanced and Tags tabs for any advance settings you want for the VM.
• Click on Review + create and then click on Create when you are done.
  Virtual Machine will begin deploying.

3. A summary page displays when the virtual machine is successfully created. Click on Go to resource link to go to the resource page. It will open an overview page of virtual machine.

4. If you want to update your password then open up the left navigation pane, select Run command, select RunShellScript and enter following command to change the password of the vm .

sudo echo ubuntu:yourpassword | chpasswd

Now the password for ubuntu user is set, you can SSH to the VM. To do so, first note the public IP address of the VM from VM details page as highlighted below

Open putty, paste the IP address and click on Open.

login as ubuntu and provide the password for ‘ubuntu’ user.

5. You can also connect to the VM’s desktop environment from any local windows machine using RDP protocol or local linux machine using Remmina.

6. To connect using RDP via Windows Machine, first note the public IP address of the VM from VM details page as highlighted below

7. Then From your local windows machine, goto “start” menu, in the search box type and select “Remote desktop connection”.
   In the “Remote Desktop connection” wizard, copy the public IP address and click connect

8. This will connect you to the VM’s desktop environment. Provide the username (e.g “ubuntu”) and the password set in the step4 to authenticate. Click OK

9. Now you are connected to the out of box AI App Development using LangChain & LangFlow environment via Windows Machine.

10. To connect using RDP via Linux machine, first note the external IP of the VM from VM details page, then from your local Linux machine, goto menu, in the search box type and select “Remmina”.

Note: If you don’t have Remmina installed on your Linux machine, firstInstall Remmina as per your linux distribution.

11. In the “Remmina Remote Desktop Client” wizard, select the RDP option from dropdown and paste the external ip and click enter.

12. This will connect you to the VM’s desktop environment. Provide “ubuntu” as the userid and the password set in above reset password step to authenticate. Click OK

13. Now you are connected to out of box AI App Development using LangChain & LangFlow environment via Linux machine.

14. To access the Langflow User interface, open the terminal and run below command to create LangFlow superuser and provide the username and password for super user. This will be used for logging in to langflow.

sudo langflow superuser

15. Once Superuser is created, open https://vm-public-ip in your local browser, accept the SSL warning by clicking advanced and login using the superuser credentials used in above step.

16. Now you are logged in to LangFlow user interface using superuser.

17. On the home page, click on key icon at the top right to generate the new API keys.

18. On this page, click on “Create new secret key”.

19. A pop up will appear, provide a name to your secret key and hit “Create secret key”

20. It will generate a secret key for you. Make sure to copy and save it somewhere.

21. You can also create new user and make them active/superuser from this UI. To do so click on the circle icon at the top right of this page and select Admin page.

22. On Admin Page, click on New User. A pop up will appear, enter the details of the new user. You can also make it active or superuser from this page.

23. New user can also signup on their own by clicking on “Signup link” on login page. Provide the details on this page and it will create new user but admin/superuser has to activate the newly created user.

24. To activate the new user, Login with superuser, go to Admin page and check the activate checkbox or superuser checkbox if you want to make this user as superuser. Click confirm on the Confirmation popup. Now your new user is active. You can login and use LangFlow UI with this user.

• Please refer to our LangChain-LangFlow udemy course to get the hands on experience

• Follow the Official LangChain and LangFlow Documentation for more details