analogai-foundation 0.1.248

AnalogAI Foundation - A foundation framework for AI agents

AnalogAI Foundation

A comprehensive Python package for building AI agent systems with advanced capabilities including emotional intelligence, inference mechanisms, and multi-database support.

Installation

Install the package in editable mode:

pip install -e .

Install with development dependencies:

pip install -e ".[dev]"

Project Structure

Foundation/
├── src/
│   ├── common/         # Shared utilities and design patterns
│   ├── core/           # Core domain entities and services
│   ├── infrastructure/ # Infrastructure implementations
│   └── libs/           # Library modules (auth, metrics, etc.)
├── pyproject.toml       # Unified package configuration
├── setup.py             # Setup helper
├── MANIFEST.in          # Package manifest
└── README.md

Modules

Common (src/common/)

• Design Patterns: Chain of responsibility, singleton, state machine
• Logging: Application logging utilities
• Utils: Dictionary utilities and helpers

Core (src/core/)

• Entities: Domain entities (Agent, Belief, Conversation, etc.)
• Services: Business logic services
• Repositories: Data access interfaces
• Enums: Domain enumerations
• Mappings: Emotion and activation mappings

Infrastructure (src/infrastructure/core/)

• Repositories: Concrete repository implementations
  • In-memory storage
  • MongoDB storage
  • Neo4j graph database
• Storage Adapters: Vector store and query storage adapters
  • FAISS
  • Pinecone
  • In-memory implementations
• Gateways: Database gateways

Libs (src/libs/)

• Authentication: JWT and authentication services
• Authorization: Authorization services
• Metrics: Metrics recording and reporting
• Dev Tools: Development utilities

Requirements

• Python >= 3.12
• See pyproject.toml for complete dependency list

Development

Running Tests

The project uses Python's built-in unittest framework:

python -m unittest discover -s src -p "test_*.py"

Code Quality

Format code with black:

black src/

Lint with ruff:

ruff check src/

Type check with mypy:

mypy src/

Coverage

Run coverage report:

coverage run -m unittest discover -s src -p "test_*.py"
coverage report
coverage html

License

MIT