Langflow Azure ARM Quickstart

This repository provides a quickstart deployment of the Langflow project on Azure using Docker containers with Bicep templates. With a single click, you can deploy Langflow to Azure App Service.

Features

• Automated deployment of Langflow on Azure App Service using Docker
• Python 3.10 environment
• Integration with Application Insights for monitoring
• Custom configuration to expose port 7860 internally and 443 externally

Getting Started

Prerequisites

• Azure Subscription
• GitHub account
• Azure CLI installed
• Bicep CLI installed

Deployment

1. Create the Resource Group:

   az group create --name <YourResourceGroup> --location <location>
   

   Replace <YourResourceGroup> with the desired name for your Resource Group and <location> with the desired Azure region (e.g., EastUS, WestUS, NorthEurope, etc.).

2. Click the button below to deploy Langflow to Azure:

   

3. Follow the instructions in the Azure portal to complete the deployment.

Attention: The first deployment may take several minutes to complete. Please wait until the deployment process is finalized. Once completed, open the default domain provided on the Overview screen of the Web App to access Langflow.

4. To visualize the template, click the button below:

   

Performance Plans

Here are the different performance plans you can choose for your deployment:

Characteristic	Free (F1)	Standard (S1)	Premium (P1v2)	Premium (P2v2)
CPU	Shared	1 dedicated core	1 dedicated core	2 dedicated cores
Memory	Very limited	1.75 GB	3.5 GB	7 GB
Runtime	Limited	Unlimited	Unlimited	Unlimited
SSL/HTTPS	Limited	Full	Full	Full
Storage	Limited, no persistence	50 GB	250 GB	250 GB
Scalability	No	Up to 10 instances	Up to 30 instances	Up to 30 instances
Deployment Slots	No	5 slots	20 slots	20 slots
Automatic Backups	No	Yes	Yes	Yes
Advanced Monitoring	No	Yes (with Application Insights)	Yes (with Application Insights)	Yes (with Application Insights)
Virtual Network	No	Yes	Yes	Yes

Configuration Parameters

Here are the configuration parameters for the different plans:

Plan	SKU	SKU Code	Worker Size
Free	Free	F1	0
Standard	Standard	S1	1
Premium (P1v2)	PremiumV2	P1v2	1
Premium (P2v2)	PremiumV2	P2v2	2

Customization

If you need to customize the deployment, you can modify the azure-deploy.bicep file as needed. For example, to use the Premium (P1v2) plan, set the variables as follows:

var sku = 'PremiumV2'
var skuCode = 'P1v2'
var workerSize = 1

Using Azure CLI

To deploy the template using the Azure CLI, follow these steps:

1. Compile the Bicep file to an ARM template:

   bicep build azure-deploy.bicep
   

   This will generate an azure-deploy.json file.

2. Deploy the compiled ARM template:

   az deployment group create --resource-group <YourResourceGroup> --template-file azure-deploy.json
   

   Replace <YourResourceGroup> with the name of your Azure Resource Group.

Contributing

Contributions are welcome! Please fork the repository and submit a pull request.

License

This project is licensed under the MIT License.