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50cd4cca65
* Move from tomllib to tomli * added example code for magentic-one + code comments * remove added package * make checks pass * README for magentic-one examples * typo fix ---------
98 lines
3.7 KiB
Python
98 lines
3.7 KiB
Python
"""This example demonstrates MagenticOne performing a task given by the user and returning a final answer."""
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import asyncio
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import logging
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import os
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from autogen_core.application import SingleThreadedAgentRuntime
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from autogen_core.application.logging import EVENT_LOGGER_NAME
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from autogen_core.base import AgentId, AgentProxy
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from autogen_core.components.code_executor import CodeBlock
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from autogen_ext.code_executor.docker_executor import DockerCommandLineCodeExecutor
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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 RequestReplyMessage
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from autogen_magentic_one.utils import LogHandler, create_completion_client_from_env
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# NOTE: Don't forget to 'playwright install --with-deps chromium'
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async def confirm_code(code: CodeBlock) -> bool:
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response = await asyncio.to_thread(
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input,
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f"Executor is about to execute code (lang: {code.language}):\n{code.code}\n\nDo you want to proceed? (yes/no): ",
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)
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return response.lower() == "yes"
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async def main() -> None:
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# Create the runtime.
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runtime = SingleThreadedAgentRuntime()
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# Create an appropriate client
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client = create_completion_client_from_env(model="gpt-4o")
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async with DockerCommandLineCodeExecutor() as code_executor:
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# Register agents.
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await Coder.register(runtime, "Coder", lambda: Coder(model_client=client))
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coder = AgentProxy(AgentId("Coder", "default"), runtime)
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await Executor.register(
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runtime,
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"Executor",
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lambda: Executor("A agent for executing code", executor=code_executor, confirm_execution=confirm_code),
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)
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executor = AgentProxy(AgentId("Executor", "default"), runtime)
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# Register agents.
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await MultimodalWebSurfer.register(runtime, "WebSurfer", MultimodalWebSurfer)
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web_surfer = AgentProxy(AgentId("WebSurfer", "default"), runtime)
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await FileSurfer.register(runtime, "file_surfer", lambda: FileSurfer(model_client=client))
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file_surfer = AgentProxy(AgentId("file_surfer", "default"), runtime)
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await UserProxy.register(
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runtime,
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"UserProxy",
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lambda: UserProxy(description="The current user interacting with you."),
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)
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user_proxy = AgentProxy(AgentId("UserProxy", "default"), runtime)
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await LedgerOrchestrator.register(
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runtime,
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"Orchestrator",
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lambda: LedgerOrchestrator(
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agents=[web_surfer, user_proxy, coder, executor, file_surfer],
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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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return_final_answer=True,
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),
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)
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# orchestrator = AgentProxy(AgentId("Orchestrator", "default"), runtime)
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runtime.start()
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actual_surfer = await 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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)
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await runtime.send_message(RequestReplyMessage(), user_proxy.id)
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await runtime.stop_when_idle()
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if __name__ == "__main__":
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logger = logging.getLogger(EVENT_LOGGER_NAME)
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logger.setLevel(logging.INFO)
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log_handler = LogHandler()
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logger.handlers = [log_handler]
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asyncio.run(main())
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