abi-core-ai 0.1.0b1

Agent-Based Infrastructure Core - Runtime and CLI

ABI-Core 🤖

Agent-Based Infrastructure Core - A comprehensive framework for building, deploying, and managing AI agent systems with semantic layers and security policies.

⚠️ Beta Release: This is a beta version. APIs may change and some features are experimental.

🚀 Quick Start

Installation

pip install abi-core-ai

Create Your First Project

# Create a new ABI project
abi-core create project my-ai-system

# Navigate to your project
cd my-ai-system

# Create an agent
abi-core create agent my-agent

# Run your project
docker-compose up

🎯 What is ABI-Core?

ABI-Core is a production-ready framework for building Agent-Based Infrastructure systems that combine:

• 🤖 AI Agents: LangChain-powered agents with A2A (Agent-to-Agent) communication
• 🧠 Semantic Layer: Vector embeddings and knowledge management
• 🔒 Security: OPA-based policy enforcement and access control
• 🌐 Web Interfaces: FastAPI-based REST APIs and real-time dashboards
• 📦 Containerization: Docker-ready deployments with orchestration

🏗️ Architecture

┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│   AI Agents     │◄──►│ Semantic Layer  │◄──►│   Guardian      │
│                 │    │                 │    │   Security      │
│ • LangChain     │    │ • Vector DB     │    │ • OPA Policies  │
│ • A2A Protocol  │    │ • Embeddings    │    │ • Access Control│
│ • Custom Logic  │    │ • Knowledge     │    │ • Monitoring    │
└─────────────────┘    └─────────────────┘    └─────────────────┘
         │                       │                       │
         └───────────────────────┼───────────────────────┘
                                 │
                    ┌─────────────────┐
                    │  Web Interface  │
                    │                 │
                    │ • FastAPI       │
                    │ • Real-time UI  │
                    │ • Monitoring    │
                    └─────────────────┘

📋 Features

🤖 Agent System

• Multi-Agent Architecture: Create specialized agents for different tasks
• A2A Communication: Agents can communicate and collaborate
• LangChain Integration: Leverage the full LangChain ecosystem
• Custom Tools: Extend agents with domain-specific capabilities

🧠 Semantic Layer

• Vector Storage: Weaviate integration for semantic search
• Embedding Management: Automatic text-to-vector conversion
• Knowledge Graphs: NetworkX-based relationship modeling
• Context Awareness: Agents understand semantic relationships

🔒 Security & Governance

• Policy Engine: Open Policy Agent (OPA) integration
• Access Control: Fine-grained permissions and roles
• Audit Logging: Complete activity tracking
• Compliance: Built-in security best practices

🌐 Web & APIs

• REST APIs: FastAPI-based service endpoints
• Real-time Updates: WebSocket support for live data
• Admin Dashboard: Monitor and manage your agent system
• Custom UIs: Build domain-specific interfaces

🛠️ CLI Commands

Project Management

# Create new project
abi-core create project <name>

# Project status
abi-core status

# Run project services
abi-core run

Agent Development

# Create new agent
abi-core create agent <name>

# List agents
abi-core info agents

# Agent-specific operations
abi-core agent <name> status

Services

# Create semantic layer service
abi-core create service semantic-layer

# Create security guardian
abi-core create service guardian

📁 Project Structure

When you create a new project, you get:

my-project/
├── agents/                 # Your AI agents
│   └── my-agent/
│       ├── agent.py       # Agent implementation
│       ├── main.py        # Entry point
│       └── models.py      # Data models
├── services/              # Supporting services
│   ├── semantic-layer/    # Vector DB & embeddings
│   └── guardian/          # Security & policies
├── config/                # Configuration
│   └── config.py
├── docker-compose.yml     # Container orchestration
└── README.md             # Project documentation

🔧 Configuration

ABI-Core uses environment variables and YAML configuration:

# .abi/runtime.yaml
agents:
  my-agent:
    model: "llama3.2:3b"
    port: 8000
    
semantic_layer:
  provider: "weaviate"
  host: "localhost:8080"
  
security:
  opa_enabled: true
  policies_path: "./policies"

🚀 Deployment

Docker (Recommended)

# Build and run all services
docker-compose up --build

# Scale specific services
docker-compose up --scale my-agent=3

Kubernetes

# Generate K8s manifests
abi-core deploy kubernetes

# Apply to cluster
kubectl apply -f ./k8s/

🧪 Examples

Simple Agent

from abi_core.agent.agent import AbiAgent
from abi_core.common.utils import abi_logging

class MyAgent(AbiAgent):
    def __init__(self):
        super().__init__(
            agent_name='my-agent',
            description='A helpful AI assistant'
        )
    
    async def stream(self, query: str, context_id: str, task_id: str):
        abi_logging(f"Processing: {query}")
        
        # Your agent logic here
        response = await self.llm.ainvoke(query)
        
        yield {
            'content': response.content,
            'response_type': 'text',
            'is_task_completed': True
        }

Agent Communication

# Agent A sends message to Agent B
await self.send_message(
    target_agent="agent-b",
    message="Process this data",
    data={"items": [1, 2, 3]}
)

📚 Documentation

• Getting Started Guide
• Agent Development
• Semantic Layer
• Security & Policies
• API Reference

🤝 Contributing

We welcome contributions! This is a beta release, so your feedback is especially valuable.

Development Setup

git clone https://github.com/Joselo-zn/abi-core
cd abi-core
uv sync --dev

Running Tests

uv run pytest

📄 License

Apache 2.0 License - see LICENSE file for details.

🆘 Support

• Issues: GitHub Issues
• Discussions: GitHub Discussions
• Email: [e-mail]

🗺️ Roadmap

• v0.2.0: Enhanced agent orchestration
• v0.3.0: Advanced semantic search
• v0.4.0: Multi-cloud deployment
• v1.0.0: Production-ready stable release

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Built with ❤️ by the ABI-Core Team