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43 lines
1.2 KiB
Python
43 lines
1.2 KiB
Python
import asyncio
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from agnext.application import SingleThreadedAgentRuntime
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from agnext.components.models import OpenAIChatCompletionClient, UserMessage
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from team_one.agents.coder import Coder, Executor
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from team_one.agents.orchestrator import RoundRobinOrchestrator
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from team_one.messages import BroadcastMessage
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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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client = OpenAIChatCompletionClient(model="gpt-4o")
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# Register agents.
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coder = runtime.register_and_get_proxy(
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"Coder",
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lambda: Coder(model_client=client),
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)
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executor = runtime.register_and_get_proxy("Executor", lambda: Executor("A agent for executing code"))
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runtime.register("orchestrator", lambda: RoundRobinOrchestrator([coder, executor]))
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task = input("Enter a task: ")
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run_context = runtime.start()
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await runtime.publish_message(
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BroadcastMessage(content=UserMessage(content=task, source="human")), namespace="default"
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)
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# Run the runtime until the task is completed.
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await run_context.stop_when_idle()
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if __name__ == "__main__":
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import logging
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logging.basicConfig(level=logging.WARNING)
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logging.getLogger("agnext").setLevel(logging.DEBUG)
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asyncio.run(main())
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