pilottai 0.2.7.33

A powerful Python framework for building scalable multi-agent systems with built-in orchestration, LLM integration, and intelligent task processing. Features dynamic scaling, fault tolerance, and advanced load balancing.

PilottAI

Build Intelligent Multi-Agent Systems with Python

Scale your AI applications with orchestrated autonomous agents

Overview

PilottAI is a Python framework for building autonomous multi-agent systems with advanced orchestration capabilities. It provides enterprise-ready features for building scalable AI applications.

Key Features

• 🤖 Hierarchical Agent System

  • Manager and worker agent hierarchies
  • Intelligent task routing
  • Context-aware processing
  • Specialized agent implementations

• 🚀 Production Ready

  • Asynchronous processing
  • Dynamic scaling
  • Load balancing
  • Fault tolerance
  • Comprehensive logging

• 🧠 Advanced Memory

  • Semantic storage
  • Task history tracking
  • Context preservation
  • Knowledge retrieval

• 🔌 Integrations

  • Multiple LLM providers (OpenAI, Anthropic, Google)
  • Document processing
  • WebSocket support
  • Custom tool integration

Installation

pip install pilottai

Quick Start

from pilottai import Pilott
from pilottai.core import AgentConfig, AgentRole, LLMConfig

# Configure LLM
llm_config = LLMConfig(
  model_name="gpt-4",
  provider="openai",
  api_key="your-api-key"
)

# Setup agent configuration
config = AgentConfig(
  role="processor",
  role_type=AgentRole.WORKER,
  goal="Process documents efficiently",
  description="Document processing worker",
  max_queue_size=100
)


async def main():
  # Initialize system
  pilott = Pilott(name="DocumentProcessor")

  try:
    # Start system
    await pilott.start()

    # Add agent
    agent = await pilott.add_agent(
      agent_type="processor",
      config=config,
      llm_config=llm_config
    )

    # Process document
    result = await pilott.execute_task({
      "type": "process_document",
      "file_path": "document.pdf"
    })

    print(f"Processing result: {result}")

  finally:
    await pilott.stop()


if __name__ == "__main__":
  import asyncio

  asyncio.run(main())

Specialized Agents

PilottAI includes ready-to-use specialized agents:

• 🎫 Customer Service Agent: Ticket and support management
• 📄 Document Processing Agent: Document analysis and extraction
• 📧 Email Agent: Email handling and template management
• 🧠 Learning Agent: Knowledge acquisition and pattern recognition
• 📢 Marketing Expert Agent: Campaign management and content creation
• 📊 Research Analyst Agent: Data analysis and research synthesis
• 💼 Sales Representative Agent: Lead management and proposals
• 🌐 Social Media Agent: Content scheduling and engagement
• 🔍 Web Search Agent: Search operations and analysis

Documentation

Visit our documentation for:

• Detailed guides
• API reference
• Examples
• Best practices

Example Use Cases

• 📄 Document Processing

  # Process PDF documents
  result = await pilott.execute_task({
      "type": "process_pdf",
      "file_path": "document.pdf"
  })
  

• 🤖 AI Agents

  # Create specialized agents
  researcher = await pilott.add_agent(
      agent_type="researcher",
      config=researcher_config
  )
  

• 🔄 Task Orchestration

  # Orchestrate complex workflows
  task_result = await manager_agent.execute_task({
      "type": "complex_workflow",
      "steps": ["extract", "analyze", "summarize"]
  })
  

Advanced Features

Memory Management

# Store and retrieve context
await agent.enhanced_memory.store_semantic(
    text="Important information",
    metadata={"type": "research"}
)

Load Balancing

# Configure load balancing
config = LoadBalancerConfig(
    check_interval=30,
    overload_threshold=0.8
)

Fault Tolerance

# Configure fault tolerance
config = FaultToleranceConfig(
    recovery_attempts=3,
    heartbeat_timeout=60
)

Project Structure

pilott/
├── core/            # Core framework components
├── agents/          # Agent implementations
├── memory/          # Memory management
├── orchestration/   # System orchestration
├── tools/           # Tool integrations
└── utils/           # Utility functions

Contributing

We welcome contributions! See our Contributing Guide for details on:

• Development setup
• Coding standards
• Pull request process

Support

• 📚 Documentation
• 💬 Discord
• 📝 GitHub Issues
• 📧 Email Support

License

PilottAI is MIT licensed. See LICENSE for details.

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_{Built with ❤️ by the PilottAI Team}