autogen/python/packages/autogen-magentic-one/interface

• MagenticOne Interface
• • Usage
  • • MagenticOneHelper

MagenticOne Interface

This repository contains a preview interface for interacting with the MagenticOne system. It includes helper classes, and example usage.

Usage

MagenticOneHelper

The MagenticOneHelper class provides an interface to interact with the MagenticOne system. It saves logs to a user-specified directory and provides methods to run tasks, stream logs, and retrieve the final answer.

The class provides the following methods:

• async initialize(self) -> None: Initializes the MagenticOne system, setting up agents and runtime.
• async run_task(self, task: str) -> None: Runs a specific task through the MagenticOne system.
• get_final_answer(self) -> Optional[str]: Retrieves the final answer from the Orchestrator.
• async stream_logs(self) -> AsyncGenerator[Dict[str, Any], None]: Streams logs from the system as they are generated.
• get_all_logs(self) -> List[Dict[str, Any]]: Retrieves all logs that have been collected so far.

We show an example of how to use the MagenticOneHelper class to in example_magentic_one_helper.py.

from magentic_one_helper import MagenticOneHelper
import asyncio
import json

async def magentic_one_example():
    # Create and initialize MagenticOne
    magnetic_one = MagenticOneHelper(logs_dir="./logs")
    await magnetic_one.initialize()
    print("MagenticOne initialized.")
    
    # Start a task and stream logs
    task = "How many members are in the MSR HAX Team"
    task_future = asyncio.create_task(magnetic_one.run_task(task))

    # Stream and process logs
    async for log_entry in magnetic_one.stream_logs():
        print(json.dumps(log_entry, indent=2))

    # Wait for task to complete
    await task_future

    # Get the final answer
    final_answer = magnetic_one.get_final_answer()

    if final_answer is not None:
        print(f"Final answer: {final_answer}")
    else:
        print("No final answer found in logs.")