The Builder Agent is a specialized AI agent designed to assist in creating and managing codebases. It excels at generating code, implementing features, and maintaining project structure.

Key Features

  • Project Initialization: Creates new projects with proper structure and dependencies
  • Code Generation: Writes clean, maintainable code following best practices
  • Documentation: Generates comprehensive documentation for code and APIs
  • Dependency Management: Handles project dependencies and requirements
  • Testing Setup: Creates test frameworks and basic test cases

Usage

1. Project Creation 

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

config = WorkflowConfig(
    model="claude-3-opus-20240229",
    project_type="web_app",
    language="python",
    framework="flask"
)

workflow = BuilderWorkflow(config)
result = workflow.create_project("my_app")

2. Feature Implementation 

# Add a new feature to existing project
workflow = BuilderWorkflow(config)
result = workflow.implement_feature({
    "name": "user_authentication",
    "requirements": [
        "Email/password authentication",
        "JWT token generation",
        "Password reset functionality"
    ]
})

3. Documentation Generation 

# Generate documentation for a project
workflow = BuilderWorkflow(config)
result = workflow.generate_docs({
    "format": "markdown",
    "sections": ["api", "setup", "deployment"]
})

Configuration Options

Project Types

  • Web Application
  • API Service
  • CLI Tool
  • Library/Package
  • Mobile App

Languages

  • Python
  • JavaScript/TypeScript
  • Java
  • Go
  • Rust

Frameworks

  • Flask/FastAPI
  • React/Vue.js
  • Spring Boot
  • Express.js
  • Django

Best Practices

  1. Clear Requirements: Provide detailed requirements for better code generation
  2. Iterative Development: Break large features into smaller, manageable tasks
  3. Code Review: Review generated code for quality and security
  4. Testing: Always include tests for generated code
  5. Documentation: Keep documentation up-to-date with code changes

Example Workflow

Here’s a complete example of using the Builder Agent to create a web application:

from prometheus_swarm.workflows import BuilderWorkflow
from prometheus_swarm.types import WorkflowConfig, ProjectSpec

# Define project specification
project_spec = ProjectSpec(
    name="my_webapp",
    type="web_app",
    language="python",
    framework="flask",
    features=[
        "user_authentication",
        "database_integration",
        "api_endpoints",
        "documentation"
    ],
    dependencies=[
        "flask>=3.0.0",
        "sqlalchemy>=2.0.0",
        "jwt>=2.0.0"
    ]
)

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

# Create and run workflow
workflow = BuilderWorkflow(config)
result = workflow.create_project(project_spec)

# Generate documentation
docs = workflow.generate_docs({
    "format": "markdown",
    "output_dir": "docs/"
})

# Run tests
test_results = workflow.run_tests()

Error Handling

The Builder Agent includes robust error handling:

try:
    workflow = BuilderWorkflow(config)
    result = workflow.implement_feature(feature_spec)
except BuilderError as e:
    if e.error_type == "ValidationError":
        print("Invalid specification:", e.details)
    elif e.error_type == "ImplementationError":
        print("Implementation failed:", e.details)
    else:
        print("Unknown error:", str(e))

Integration with Other Tools

The Builder Agent can integrate with:

  • Version Control Systems (Git)
  • CI/CD Pipelines
  • Code Quality Tools
  • Package Managers
  • Documentation Generators

Contributing

To contribute to the Builder Agent:

  1. Fork the repository
  2. Create a feature branch
  3. Implement your changes
  4. Add tests
  5. Submit a pull request

Future Developments

Planned features include:

  • Enhanced AI-powered code generation
  • More language and framework support
  • Improved testing capabilities
  • Better integration with development tools
  • Advanced error handling and recovery