Dockerizing Fabric - A Comprehensive AI Augmentation Setup
Posted on February 6, 2025 • 5 min read • 991 wordsFabric is an open-source AI framework by Daniel Miessler that enables granular AI integration into daily workflows through CLI commands, patterns, and customizable prompts[1][4]. This guide demonstrates how to containerize Fabric with Docker for simplified deployment.
As AI technologies continue to evolve, developers and businesses seek efficient ways to deploy and manage AI solutions. Dockerizing Fabric offers a scalable, consistent, and flexible approach to AI augmentation, enabling users to harness powerful AI capabilities while maintaining control over their infrastructure. By containerizing Fabric, we aim to simplify deployment, reduce compatibility issues, and promote best practices for AI implementation in diverse environments.
Docker is an open-source platform used to automate the deployment, scaling, and management of applications in lightweight, portable containers. Containers package an application with all its dependencies and runtime environment, ensuring consistency across different computing environments. This makes it easier to develop, ship, and run applications anywhere, improving the overall efficiency of the software development lifecycle.
# Base image with Go for Fabric CLI
FROM golang:latest
# Install Fabric core
RUN go install github.com/danielmiessler/fabric@latest
# Configuration and web UI setup
RUN mkdir -p ~/.config/fabric && \
mkdir /web && cd /web && \
git clone https://github.com/danielmiessler/fabric.git /web
# Dependency installation
RUN apt-get update && apt-get upgrade -y && \
apt-get install -y npm
# Web UI configuration
RUN cd /web/web && npm install
COPY start.sh /start.sh
RUN chmod +x /start.sh && \
sed -i -se 's/vite dev/vite dev --host/g' /web/web/package.json
CMD ["/start.sh"]
#!/bin/sh
fabric --serve & # Background process
cd /web/web
exec npm run dev # Foreground process (replaces the shell to retain PID 1)
This Dockerfile
outlines the setup for a Docker container designed to run a web application using the Fabric CLI tool and a web interface. Here’s a step-by-step breakdown of the file:
Base Image:
FROM golang:latest
latest
version. This image includes the Go programming language environment, which is necessary for building and running Go applications.Install Fabric Core:
RUN go install github.com/danielmiessler/fabric@latest
Configuration and Web UI Setup:
RUN mkdir -p ~/.config/fabric && \
mkdir /web && cd /web && \
git clone https://github.com/danielmiessler/fabric.git /web
~/.config/fabric
./web
for the web application and clones the Fabric repository into it. This likely contains the web UI or related resources.Dependency Installation:
RUN apt-get update && apt-get upgrade -y && \
apt-get install -y npm
npm
, which is necessary for managing Node.js packages used in the web UI.Web UI Configuration:
RUN cd /web/web && npm install
COPY start.sh /start.sh
RUN chmod +x /start.sh && \
sed -i -se 's/vite dev/vite dev --host/g' /web/web/package.json
/web/web
and installs Node.js dependencies specified in package.json
using npm
.start.sh
from the context into the container for starting the application.start.sh
script executable.package.json
, specifically altering the script vite dev
to vite dev --host
. This allows the Vite development server to accept connections from any network interface, which is often necessary for accessing the server from outside the container.Default Command:
CMD ["/start.sh"]
start.sh
script when the container starts.start.sh Script:
#!/bin/sh
fabric --serve & # Background process
cd /web/web
exec npm run dev # Foreground process (replaces the shell to retain PID 1)
fabric --serve &
)./web/web
and runs npm run dev
. The use of exec
in the script replaces the current shell with the Vite process, ensuring it runs as PID 1, which is important for proper signal handling (like termination signals) inside a Docker container.In summary, this Dockerfile
sets up a development environment with Go and Node.js to run a specific web application using the Fabric CLI tool. The container exposes a development server that can be accessed externally.
services:
fabric:
build: ./fabric
restart: unless-stopped
ports:
- 5173:5173
volumes:
- ./config:/root/.config/fabric
Features:
1. Build and Push to Docker Hub
# Build image
docker build -t coolmast/fabric .
# Tag and push
docker tag coolmast/fabric:latest coolmast/fabric:v1.0
docker push coolmast/fabric:latest
docker push coolmast/fabric:v1.0
2. GitHub Repository Setup
# Initialize repo
git init
git add .
git commit -m "Initial Fabric Docker setup"
# Connect to remote
git remote add origin https://github.com/coolmast/docker-fabric-web.git
git push -u origin main
Repository should contain:
├── fabric/
│ ├── Dockerfile
│ └── start.sh
├── config/
│ └── .env
└── docker-compose.yml
DEFAULT_VENDOR=OpenAI
DEFAULT_MODEL=chatgpt-4o-latest
PATTERNS_LOADER_GIT_REPO_URL=https://github.com/danielmiessler/fabric.git
OPENAI_API_KEY=your_api_key_here
Security best practices:
# Start container
docker-compose up -d
# Execute Fabric command
docker exec -it fabric_container fabric -p extract_wisdom -i input.txt
This setup combines Fabric’s core AI capabilities[1][4] with Docker’s portability, enabling:
The complete implementation is available at:
For advanced usage, consider adding:
docker buildx
This structure provides technical depth while maintaining readability, using your actual code samples and deployment targets. The citations reference Fabric’s core functionality from the provided sources while focusing on your specific implementation.
Citations: [1] https://www.infralovers.com/blog/2024-06-25-fabric-overview/ [2] https://www.youtube.com/watch?v=v-gRAgry5Vk [3] https://github.com/danielmiessler/fabric/tree/main [4] https://danielmiessler.com/blog/fabric-origin-story [5] https://www.youtube.com/watch?v=I1r6oVc-RZQ [6] https://github.com/danielmiessler/fabric/blob/main/system.md [7] https://www.linkedin.com/posts/danielmiessler_github-danielmiesslerfabric-fabric-is-activity-7159181666731675649-OuCH [8] https://github.com/danielmiessler/fabric/activity [9] https://x.com/danielmiessler?lang=de [10] https://newsletter.danielmiessler.com/p/ul-421 [11] https://www.linkedin.com/posts/paul-filby-460485_github-danielmiesslerfabric-fabric-is-activity-7287167842595008513-ZVhw [12] https://thedispatch.ai/reports/2713/ [13] https://thedispatch.ai/reports/1592/ [14] https://github.com/danielmiessler/fabric/blob/main/patterns/extract_wisdom/system.md [15] https://www.youtube.com/watch?v=mAhYTjSpN1g [16] https://danielmiessler.com/blog/ai-is-mostly-prompting [17] https://www.linkedin.com/posts/frederick-ros_github-danielmiesslerfabric-fabric-is-activity-7239015130775064576-Jzci [18] https://www.pinterest.com/pin/70228075433949870/ [19] https://www.youtube.com/watch?v=7ftiQ8dVvO4