Skip to content

implementation-plan.md

Latest commit

 

History

History
217 lines (186 loc) · 6.84 KB

implementation-plan.md

File metadata and controls

217 lines (186 loc) · 6.84 KB

Big Book of Agent Ops - Quarto Implementation Plan

Overview

This plan outlines the setup of Quarto for collaborative development of "The Big Book of Agent Ops" - a comprehensive guide covering the evolution from MLOps to LLMOps to AgentOps, focusing on deploying quality agentic applications safely and reliably.

Repository Structure

Based on the content outline in agentops-info, the book will be organized into three main parts:

big-book-of-agent-ops/
├── _quarto.yml                    # Main Quarto configuration
├── index.qmd                      # Book homepage/introduction
├── README.md                      # Setup and contribution guide
├── requirements.txt               # Python dependencies for examples
├── environment.yml                # Conda environment file
├── .gitignore                     # Git ignore file
├── part1/                         # Background and Context
│   ├── index.qmd
│   ├── 01-evolving-trends.qmd
│   ├── 02-reference-architecture.qmd
│   └── 03-deployment-pipeline.qmd
├── part2/                         # Principles of Agent Ops
│   ├── index.qmd
│   ├── 01-devops-principles.qmd
│   ├── 02-flow-principles.qmd
│   ├── 03-feedback-principles.qmd
│   └── 04-continuous-learning.qmd
├── part3/                         # People, Process and Technology
│   ├── index.qmd
│   ├── 01-hidden-technical-debt.qmd
│   ├── 02-stakeholder-management.qmd
│   ├── 03-roles-responsibilities.qmd
│   └── 04-value-streams.qmd
├── examples/                      # Code examples and demos
│   ├── etl-pipeline/
│   ├── multi-agent-architecture/
│   ├── evaluation-frameworks/
│   └── deployment-patterns/
├── assets/                        # Images, diagrams, etc.
└── references/                    # Bibliography and external resources

Implementation Steps

Phase 1: Initial Setup (Week 1)

1.1 Core Quarto Configuration

  • Create _quarto.yml with book configuration
  • Set up basic book structure and navigation
  • Configure output formats (HTML, PDF)
  • Set up GitHub Pages for publishing

1.2 Development Environment

  • Create environment.yml for conda environment with:
    • Quarto CLI
    • Python dependencies for code examples
    • Jupyter for interactive notebooks
    • Key libraries: MLflow, LangChain, Databricks SDK
  • Create requirements.txt as alternative for pip users
  • Set up .gitignore for Quarto projects

1.3 Contribution Guidelines

  • Create comprehensive README.md with:
    • Installation instructions for multiple platforms
    • Local development setup
    • Contribution workflow
    • Writing style guide
  • Document chapter authoring process
  • Set up issue templates for content suggestions

Phase 2: Content Structure (Week 2)

2.1 Chapter Templates

  • Create template .qmd files for each chapter
  • Include standard frontmatter and structure
  • Add placeholder sections based on agentops-info outline

2.2 Cross-References and Navigation

  • Set up cross-referencing system
  • Create consistent linking between chapters
  • Implement glossary and index

2.3 Code Integration

  • Configure Jupyter notebook integration
  • Set up code execution environments
  • Create reusable code block templates

Phase 3: Collaboration Features (Week 3)

3.1 GitHub Workflow

  • Set up GitHub Actions for:
    • Automatic book building on PR
    • Deployment to GitHub Pages
    • Link checking and validation
  • Create branch protection rules
  • Set up review process for content

3.2 Multi-Author Support

  • Configure author attribution system
  • Set up collaborative editing guidelines
  • Create content review workflow

3.3 Asset Management

  • Set up image and diagram storage
  • Create style guide for visual assets
  • Implement version control for binary assets

Technical Requirements

Dependencies

# environment.yml
name: agentops-book
channels:
  - conda-forge
  - defaults
dependencies:
  - python=3.11
  - jupyter
  - notebook
  - pip
  - pip:
    - quarto-cli
    - mlflow>=2.10.0
    - langchain
    - databricks-sdk
    - matplotlib
    - plotly
    - pandas
    - numpy
    - pydantic
    - fastapi
    - uvicorn

Quarto Configuration

# _quarto.yml
project:
  type: book
  output-dir: _book

book:
  title: "The Big Book of Agent Ops"
  subtitle: "From MLOps to LLMOps to AgentOps"
  author: "Multiple Contributors"
  date: today
  chapters:
    - index.qmd
    - part: "Background and Context"
      chapters:
        - part1/01-evolving-trends.qmd
        - part1/02-reference-architecture.qmd
        - part1/03-deployment-pipeline.qmd
    # ... additional parts

format:
  html:
    theme: cosmo
    toc: true
    toc-depth: 3
    code-fold: false
    code-tools: true
  pdf:
    documentclass: scrbook
    toc: true

Collaboration Workflow

For Contributors

  1. Environment Setup: Clone repo, create conda environment
  2. Content Creation: Create branch, write in .qmd format
  3. Local Testing: Build book locally to verify formatting
  4. Submission: Create PR with clear description
  5. Review Process: Address feedback, iterate

For Maintainers

  1. Review Standards: Technical accuracy, writing quality, consistency
  2. Build Validation: Ensure all code examples work
  3. Integration Testing: Verify cross-references and links
  4. Publication: Merge to main triggers auto-deployment

Success Criteria

Technical

  • Book builds successfully in multiple formats
  • All code examples execute without errors
  • Cross-references and navigation work correctly
  • Mobile-responsive HTML output

Collaboration

  • Multiple contributors can work simultaneously
  • Clear contribution guidelines and onboarding
  • Automated quality checks prevent broken builds
  • Easy local development setup (< 15 minutes)

Content

  • Comprehensive coverage of Agent Ops topics
  • Practical, actionable examples
  • Clear progression from basics to advanced topics
  • Integration with real-world tools (MLflow, Databricks)

Timeline

  • Week 1: Core infrastructure and basic setup
  • Week 2: Content structure and templates
  • Week 3: Collaboration features and automation
  • Week 4: Documentation, testing, and contributor onboarding

Next Steps

  1. Create initial Quarto configuration files
  2. Set up development environment
  3. Create README with setup instructions
  4. Begin converting agentops-info outline to structured chapters
  5. Set up GitHub Pages for live preview

This implementation ensures other contributors can easily install dependencies, build the book locally, and collaborate effectively on creating comprehensive Agent Ops documentation.