Listing Thumbnail

    Self-Hosted Dify & Langfuse AI App Studio by Code Creator

     Info
    Deployed on AWS
    This product has charges associated with it for the provision and deployment of the application and AMI support. Self hosted Dify and Langfuse AI app studio on Ubuntu that lets you build AI workflows and agents in the browser and observe every request in your own AWS account using your own LLM provider keys.

    Overview

    This is a repackaged open source software product wherein additional charges are applied for the deployment of the application and AMI support and compliance. This product launches a complete AI application studio on a single Ubuntu 24.04 instance powered by Dify and Langfuse. Dify gives you a visual workspace in the browser to design and run AI chatbots agents tools and document workflows without having to manage complex infrastructure. Langfuse adds deep observability so you can trace every request measure cost and latency and compare different prompts and models.

    Everything runs with Docker on your EC2 instance inside your AWS account so your data and logs remain under your control. After launch you visit the public IP address to create the first Dify admin account then open the Langfuse URL to create your first observability project. From there you can connect your preferred model providers by adding API keys for services such as OpenAI Anthropic AWS Bedrock Azure OpenAI or other supported LLM and embedding providers.

    Use this studio to prototype internal assistants knowledge base search tools and custom AI workflows then monitor how they behave in real time. Dify lets you define prompts tools data sources and knowledge bases through a friendly web interface while Langfuse records traces metrics and evaluations so you can debug prompts tune quality and manage cost.

    This AMI is ideal for teams that want an easy starting point for private AI app development and observability without using external SaaS platforms. You bring your own EC2 instance VPC and model API keys and this image provides the ready to use AI studio environment on top.

    Highlights

    • Build AI apps agents and workflows entirely in the browser with Dify using your own model API keys in your AWS account
    • Gain deep visibility into every request with Langfuse including traces metrics and evaluations to debug prompts and control cost
    • Runs fully self hosted on a single Ubuntu EC2 instance using Docker so your data logs and configurations remain under your control

    Details

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 24.04

    Deployed on AWS
    New

    Introducing multi-product solutions

    You can now purchase comprehensive solutions tailored to use cases and industries.

    Multi-product solutions

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Self-Hosted Dify & Langfuse AI App Studio by Code Creator

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (12)

     Info
    Dimension
    Cost/hour
    t2.xlarge
    Recommended
    $0.02
    m6i.4xlarge
    $0.02
    m6i.8xlarge
    $0.02
    t3.large
    $0.02
    m6i.2xlarge
    $0.02
    t3.2xlarge
    $0.02
    m6i.xlarge
    $0.02
    m6i.32xlarge
    $0.02
    m6i.24xlarge
    $0.02
    m6i.12xlarge
    $0.02

    Vendor refund policy

    No contracts. We do not currently support refunds, but you can cancel at any time.

    How can we make this page better?

    We'd like to hear your feedback and ideas on how to improve this page.
    We'd like to hear your feedback and ideas on how to improve this page.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Version release notes

    n/a

    Resources

    Support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

    Similar products

    Customer reviews

    Ratings and reviews

     Info
    0 ratings
    5 star
    4 star
    3 star
    2 star
    1 star
    0%
    0%
    0%
    0%
    0%
    0 reviews
    No customer reviews yet
    Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.