mirror of
https://github.com/microsoft/autogen.git
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221 lines
8.0 KiB
Python
221 lines
8.0 KiB
Python
import asyncio
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import logging
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import os
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from typing import Optional, AsyncGenerator, Dict, Any, List
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from datetime import datetime
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import json
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from dataclasses import asdict
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from autogen_core import SingleThreadedAgentRuntime
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from autogen_core import EVENT_LOGGER_NAME
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from autogen_core import AgentId, AgentProxy
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from autogen_core import DefaultTopicId
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from autogen_core.models._model_client import ChatCompletionClient
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from autogen_ext.code_executors.local import LocalCommandLineCodeExecutor
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from autogen_ext.code_executors.docker import DockerCommandLineCodeExecutor
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from autogen_core.code_executor import CodeBlock
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from autogen_magentic_one.agents.coder import Coder, Executor
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from autogen_magentic_one.agents.file_surfer import FileSurfer
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from autogen_magentic_one.agents.multimodal_web_surfer import MultimodalWebSurfer
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from autogen_magentic_one.agents.orchestrator import LedgerOrchestrator
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from autogen_magentic_one.agents.user_proxy import UserProxy
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from autogen_magentic_one.messages import BroadcastMessage
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from autogen_magentic_one.utils import LogHandler
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from autogen_core.models import UserMessage
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from threading import Lock
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async def confirm_code(code: CodeBlock) -> bool:
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return True
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class MagenticOneHelper:
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def __init__(self, logs_dir: str = None, save_screenshots: bool = False) -> None:
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"""
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A helper class to interact with the MagenticOne system.
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Initialize MagenticOne instance.
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Args:
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logs_dir: Directory to store logs and downloads
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save_screenshots: Whether to save screenshots of web pages
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"""
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self.logs_dir = logs_dir or os.getcwd()
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self.runtime: Optional[SingleThreadedAgentRuntime] = None
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self.log_handler: Optional[LogHandler] = None
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self.save_screenshots = save_screenshots
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if not os.path.exists(self.logs_dir):
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os.makedirs(self.logs_dir)
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async def initialize(self) -> None:
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"""
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Initialize the MagenticOne system, setting up agents and runtime.
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"""
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# Create the runtime
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self.runtime = SingleThreadedAgentRuntime()
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# Set up logging
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logger = logging.getLogger(EVENT_LOGGER_NAME)
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logger.setLevel(logging.INFO)
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self.log_handler = LogHandler(filename=os.path.join(self.logs_dir, "log.jsonl"))
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logger.handlers = [self.log_handler]
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# Create client
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client = ChatCompletionClient.load_component(json.loads(os.environ["CHAT_COMPLETION_CLIENT_CONFIG"]))
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assert client.model_info["family"] == "gpt-4o", "This example requires the gpt-4o model"
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# Set up code executor
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self.code_executor = DockerCommandLineCodeExecutor(work_dir=self.logs_dir)
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await self.code_executor.__aenter__()
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await Coder.register(self.runtime, "Coder", lambda: Coder(model_client=client))
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coder = AgentProxy(AgentId("Coder", "default"), self.runtime)
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await Executor.register(
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self.runtime,
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"Executor",
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lambda: Executor("A agent for executing code", executor=self.code_executor, confirm_execution=confirm_code),
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)
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executor = AgentProxy(AgentId("Executor", "default"), self.runtime)
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# Register agents.
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await MultimodalWebSurfer.register(self.runtime, "WebSurfer", MultimodalWebSurfer)
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web_surfer = AgentProxy(AgentId("WebSurfer", "default"), self.runtime)
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await FileSurfer.register(self.runtime, "file_surfer", lambda: FileSurfer(model_client=client))
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file_surfer = AgentProxy(AgentId("file_surfer", "default"), self.runtime)
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agent_list = [web_surfer, coder, executor, file_surfer]
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await LedgerOrchestrator.register(
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self.runtime,
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"Orchestrator",
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lambda: LedgerOrchestrator(
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agents=agent_list,
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model_client=client,
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max_rounds=30,
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max_time=25 * 60,
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max_stalls_before_replan=10,
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return_final_answer=True,
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),
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)
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self.runtime.start()
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actual_surfer = await self.runtime.try_get_underlying_agent_instance(web_surfer.id, type=MultimodalWebSurfer)
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await actual_surfer.init(
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model_client=client,
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downloads_folder=os.getcwd(),
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start_page="https://www.bing.com",
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browser_channel="chromium",
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headless=True,
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debug_dir=self.logs_dir,
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to_save_screenshots=self.save_screenshots,
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)
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async def __aexit__(self, exc_type, exc_value, traceback) -> None:
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"""
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Clean up resources.
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"""
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if self.code_executor:
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await self.code_executor.__aexit__(exc_type, exc_value, traceback)
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async def run_task(self, task: str) -> None:
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"""
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Run a specific task through the MagenticOne system.
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Args:
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task: The task description to be executed
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"""
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if not self.runtime:
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raise RuntimeError("MagenticOne not initialized. Call initialize() first.")
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task_message = BroadcastMessage(content=UserMessage(content=task, source="UserProxy"))
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await self.runtime.publish_message(task_message, topic_id=DefaultTopicId())
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await self.runtime.stop_when_idle()
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def get_final_answer(self) -> Optional[str]:
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"""
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Get the final answer from the Orchestrator.
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Returns:
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The final answer as a string
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"""
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if not self.log_handler:
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raise RuntimeError("Log handler not initialized")
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for log_entry in self.log_handler.logs_list:
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if (
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log_entry.get("type") == "OrchestrationEvent"
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and log_entry.get("source") == "Orchestrator (final answer)"
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):
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return log_entry.get("message")
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return None
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async def stream_logs(self) -> AsyncGenerator[Dict[str, Any], None]:
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"""
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Stream logs from the system as they are generated. Stops when it detects both
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the final answer and termination condition from the Orchestrator.
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Yields:
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Dictionary containing log entry information
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"""
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if not self.log_handler:
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raise RuntimeError("Log handler not initialized")
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last_index = 0
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found_final_answer = False
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found_termination = False
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found_termination_no_agent = False
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while True:
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current_logs = self.log_handler.logs_list
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while last_index < len(current_logs):
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log_entry = current_logs[last_index]
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yield log_entry
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# Check for termination condition
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if (
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log_entry.get("type") == "OrchestrationEvent"
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and log_entry.get("source") == "Orchestrator (final answer)"
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):
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found_final_answer = True
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if (
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log_entry.get("type") == "OrchestrationEvent"
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and log_entry.get("source") == "Orchestrator (termination condition)"
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):
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found_termination = True
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if (
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log_entry.get("type") == "OrchestrationEvent"
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and log_entry.get("source") == "Orchestrator (termination condition)"
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and log_entry.get("message") == "No agent selected."
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):
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found_termination_no_agent = True
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if self.runtime._run_context is None:
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return
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if found_termination_no_agent and found_final_answer:
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return
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elif found_termination and not found_termination_no_agent:
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return
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last_index += 1
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await asyncio.sleep(0.1) # Small delay to prevent busy waiting
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def get_all_logs(self) -> List[Dict[str, Any]]:
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"""
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Get all logs that have been collected so far.
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Returns:
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List of all log entries
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"""
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if not self.log_handler:
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raise RuntimeError("Log handler not initialized")
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return self.log_handler.logs_list
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