nfactorial 0.1.29

A distributed task queue for building reliable multi-agent systems.

nFactorial

Build distributed agents that spawn more distributed sub-agents.

nFactorial is a distributed task queue for building reliable multi-agent systems. It makes the following trivial to implement:

• Agent Reliability: Automatic retries, backoff strategies, and recovery of dropped tasks from crashed workers.
• In-flight Task Management: Cancel, steer, and monitor running tasks.
• Spawning Sub Agents: Having an agent spawn multiple sub agents and wait for their completion before continuing.
• Deferred Tools: Pause the agent while it waits for long running tools to complete externally or wait for user approval before continuing.
• Observability: Built-in metrics dashboard and comprehensive logging

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()

Usage Examples:

IDE Coding Agent

/docs/examples/code_agent

Multi-Agent

/docs/examples/multi_agent

Deliberations.ai

Check it out