Dify AI Build, Deploy & Manage GenAI Apps pre configured by Miri Infotech

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About

This is a repackaged open source Product. Dify AI is a powerful open-source AI application development platform designed to simplify the creation of LLM-powered products. It enables developers, startups, and enterprises to build AI applications such as chatbots, agents, and workflows using an intuitive interface combined with robust backend capabilities.

With support for multiple large language models, prompt engineering, dataset management, and API-first deployment, Dify AI bridges the gap between experimentation and production. It allows teams to iterate faster, scale reliably, and maintain full control over their AI systems while reducing development time and operational complexity.

Dify AI is ideal for organizations looking to integrate AI into real-world applications with flexibility, transparency, and scalability.

Highlights

  • Open-source LLM application development platform

  • Build chatbots, AI agents, and workflows easily

  • Supports multiple large language models

  • Visual prompt and workflow management

  • API-first design for easy integration

  • Dataset and knowledge base management

  • Scalable and production-ready

  • Designed for developers and businesses

You can subscribe to Mautic, an AWS Marketplace product and launch an instance from the product’s AMI using the Amazon EC2 launch wizard.

To launch an instance from the AWS Marketplace using the launch wizard

  • Open the Amazon EC2 console at https://console.aws.amazon.com/ec2/
  • From the Amazon EC2 dashboard, choose Launch Instance. On the Choose an Amazon Machine Image (AMI) page, choose the AWS Marketplace category on the left. Find a suitable AMI by browsing the categories, or using the search functionality. Choose Select to choose your product.
  • A dialog displays an overview of the product you’ve selected. You can view the pricing information, as well as any other information that the vendor has provided. When you’re ready, choose Continue.
  • On the Choose an Instance Type page, select the hardware configuration and size of the instance to launch. When you’re done, choose Next: Configure Instance Details.
  • On the next pages of the wizard, you can configure your instance, add storage, and add tags. For more information about the different options you can configure, see Launching an Instance. Choose Next until you reach the Configure Security Group page.
  • The wizard creates a new security group according to the vendor’s specifications for the product. The security group may include rules that allow all IP addresses (0.0.0.0/0) access on SSH (port 22) on Linux or RDP (port 3389) on Windows. We recommend that you adjust these rules to allow only a specific address or range of addresses to access your instance over those ports
  • When you are ready, choose Review and Launch.
  • On the Review Instance Launch page, check the details of the AMI from which you’re about to launch the instance, as well as the other configuration details you set up in the wizard. When you’re ready, choose Launch to select or create a key pair, and launch your instance.
  • Depending on the product you’ve subscribed to, the instance may take a few minutes or more to launch. You are first subscribed to the product before your instance can launch. If there are any problems with your credit card details, you will be asked to update your account details. When the launch confirmation page displays.

Usage/Deployment Instructions

Step 1: SSH into your instance with username ubuntu and key pair to start the application

Username: ubuntu

ssh -i ssh_key.pem ubuntu@instance-IP

Dify – a visual, low-code AI app / workflow / agent builder

Both run as Docker services on Ubuntu 24.04 and start automatically when the server boots
You connect to everything from your browser. SSH is only needed for advanced administration.

First Login – Dify (AI App Studio)

Initial Setup

  1. Open the EC2 Console and note the public IP address of your instance.

  2. In a web browser, visit:

    http://<PUBLIC_IP>/install

  3. The Dify setup screen will appear.

    • Enter an admin email address

    • Create an admin password

    • Click Create or Continue to finish setup

  4. Once setup is complete, go to:

    http://<PUBLIC_IP>/

  5. Sign in using the admin credentials you just created.

Configure AI Model Providers (API Keys)

After logging into Dify:

  1. Open the Dify dashboard at:

    http://<PUBLIC_IP>/

  2. Navigate to Settings → Model Providers / LLM Providers
    (menu names may vary slightly depending on the version).

  3. Add API credentials for the providers you plan to use, such as:

    • OpenAI – enter your OpenAI API key

    • Anthropic – add your Claude API key

    • AWS Bedrock – configure region and access credentials

    • Any other supported model provider

  4. Save your configuration.

What You Can Do Next

With Dify configured, you can now:

  • Build and deploy AI chatbots

  • Create agents and automated workflows

  • Set up RAG / knowledge base applications

  • Test and refine everything directly from the Dify interface

View running containers

docker ps

Restart Dify services

cd /home/ubuntu/dify/docker
docker compose restart

Stop all Dify services (maintenance mode)

cd /home/ubuntu/dify/docker
docker compose down

All your queries are important to us. Please feel free to connect.

24X7 support provided for all the customers.

We are happy to help you.

Submit your Query: https://miritech.com/contact-us/

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    Highlights

    • icon

      Open-source LLM application development platform

    • icon

      Build chatbots, AI agents, and workflows easily

    • icon

      Supports multiple large language models

    • icon

      Scalable and production-ready

    Application Installed

    • icon Linux