The Documentation Builder Agent is a specialized AI tool designed to automatically generate, maintain, and improve project documentation. It analyzes your codebase and creates comprehensive, well-structured documentation that follows best practices.

Key Features

• Automated Documentation Generation: Creates documentation from code and comments
• Multiple Format Support: Generates documentation in various formats (Markdown, HTML, PDF)
• API Documentation: Automatically documents APIs and endpoints
• Code Examples: Provides relevant code examples and usage patterns
• Documentation Testing: Validates documentation accuracy and completeness

Usage

1. Basic Documentation Generation

from prometheus_swarm.clients import AnthropicClient
from prometheus_swarm.workflows import DocsBuilderWorkflow
from prometheus_swarm.types import WorkflowConfig

config = WorkflowConfig(
    model="claude-3-opus-20240229",
    output_format="markdown",
    include_examples=True
)

workflow = DocsBuilderWorkflow(config)
docs = workflow.generate_docs("./src")

2. API Documentation

# Generate API documentation
workflow = DocsBuilderWorkflow(config)
api_docs = workflow.generate_api_docs({
    "include_endpoints": True,
    "add_examples": True,
    "test_endpoints": True
})

3. Documentation Update

# Update existing documentation
workflow = DocsBuilderWorkflow(config)
updates = workflow.update_docs({
    "check_outdated": True,
    "add_missing": True,
    "verify_examples": True
})

Documentation Types

1. Code Documentation

• Function and class documentation
• Module documentation
• Type hints and signatures
• Usage examples
• Implementation notes

2. API Documentation

• Endpoint descriptions
• Request/response formats
• Authentication methods
• Rate limits
• Error handling

3. User Documentation

• Installation guides
• Getting started tutorials
• Configuration guides
• Troubleshooting guides
• FAQs

Example Workflow

Here’s a complete example of using the Documentation Builder Agent:

from prometheus_swarm.workflows import DocsBuilderWorkflow
from prometheus_swarm.types import WorkflowConfig, DocsSpec

# Define documentation specification
docs_spec = DocsSpec(
    project_name="My Project",
    version="1.0.0",
    source_dirs=["./src", "./api"],
    output_format="markdown",
    sections=[
        "installation",
        "quickstart",
        "api_reference",
        "examples",
        "configuration"
    ],
    options={
        "include_toc": True,
        "add_examples": True,
        "check_links": True,
        "validate_code": True
    }
)

# Configure workflow
config = WorkflowConfig(
    model="claude-3-opus-20240229",
    temperature=0.7
)

# Create and run workflow
workflow = DocsBuilderWorkflow(config)
result = workflow.build_docs(docs_spec)

# Generate site
workflow.generate_site({
    "theme": "material",
    "deploy": True,
    "check_links": True
})

Output Formats

Markdown

• GitHub Flavored Markdown
• MkDocs compatibility
• Jekyll compatibility
• Hugo compatibility

HTML

• Static site generation
• Custom themes
• Interactive examples
• Search functionality

PDF

• Professional formatting
• Table of contents
• Cross-references
• Print optimization

Features

1. Content Generation

• Automatic structure creation
• Code analysis and documentation
• Example generation
• Cross-referencing

2. Validation

• Link checking
• Code example testing
• API endpoint validation
• Style consistency

3. Maintenance

• Outdated content detection
• Missing documentation alerts
• Broken link detection
• Version tracking

Best Practices

1. Regular Updates: Keep documentation in sync with code changes
2. Consistent Style: Maintain consistent documentation style
3. Examples: Include practical examples for complex features
4. Testing: Validate documentation accuracy regularly
5. Versioning: Maintain documentation versions with code

Error Handling

try:
    workflow = DocsBuilderWorkflow(config)
    result = workflow.build_docs(docs_spec)
except DocsBuilderError as e:
    if e.error_type == "ContentError":
        print("Content generation failed:", e.details)
    elif e.error_type == "ValidationError":
        print("Validation failed:", e.details)
    else:
        print("Unknown error:", str(e))

Integration

The Documentation Builder Agent integrates with:

Documentation Platforms

• ReadTheDocs
• GitHub Pages
• GitBook
• MkDocs
• Sphinx

Version Control

• Git
• GitHub
• GitLab
• Bitbucket

CI/CD

• GitHub Actions
• GitLab CI
• Jenkins
• CircleCI

Contributing

To contribute to the Documentation Builder Agent:

1. Fork the repository
2. Create a feature branch
3. Add new documentation features
4. Add tests for new functionality
5. Submit a pull request

Future Developments

Planned features include:

• AI-powered content improvement suggestions
• More output format support
• Enhanced API documentation
• Interactive documentation features
• Multilingual support
• Advanced search capabilities