nfactorial 0.1.2

A Python framework for building AI agents with advanced orchestration capabilities

nFactorial

Factorial is a Python framework for reliably running high-concurrency agents asynchronously. It's designed for production workloads where you need to process thousands of agent tasks concurrently with built-in retries, monitoring, and distributed execution.

Features

• Distributed execution: Run agents across multiple workers and machines with Redis-based coordination
• Fault tolerance: Automatic retries, backoff strategies, and recovery of dropped tasks from crashed workers
• Real-time events: Stream progress updates and results via WebSocket or Redis pub/sub
• In-flight agent task management: Cancel, steer, and monitor running tasks
• Observability: Built-in metrics dashboard and comprehensive logging
• Deferred tools: Support for long-running operations that complete outside the agent execution

Installation

pip install nfactorial

Quick Start

from factorial import Agent, Orchestrator, AgentWorkerConfig, gpt_41


def get_weather(location: str) -> str:
    return f"The weather in {location} is sunny and 72°F"


agent = Agent(
    instructions="You help users get weather information.",
    model=gpt_41,
    tools=[get_weather],
)

# Create orchestrator
orchestrator = Orchestrator(
    redis_host="localhost",
    redis_port=6379,
    redis_db=0,
    redis_max_connections=50,
)
orchestrator.register_runner(
    agent=agent, agent_worker_config=AgentWorkerConfig(workers=1)
)

# Run the system
if __name__ == "__main__":
    orchestrator.run()