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ca42b560e9
* Initial check-in of agbench * Moved agbench to intended directory. * Removed pyautogen dependency * moved to using process_until_idle * Added TeamOne template. * User TeamOne agent classes. * migrate to hatch, move benchmarks out, add CI (#166) * Resolve type issues (#168) Thanks for fixing types. * Fixed import. --------- Co-authored-by: Jack Gerrits <jackgerrits@users.noreply.github.com>
80 lines
2.7 KiB
Python
80 lines
2.7 KiB
Python
import asyncio
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#from typing import Any, Dict, List, Tuple, Union
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from agnext.application import SingleThreadedAgentRuntime
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from agnext.components.models import (
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AzureOpenAIChatCompletionClient,
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LLMMessage,
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ModelCapabilities,
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UserMessage,
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)
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from agnext.components.code_executor import LocalCommandLineCodeExecutor
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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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# Create the AzureOpenAI client, with AAD auth
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#token_provider = get_bearer_token_provider(DefaultAzureCredential(), "https://cognitiveservices.azure.com/.default")
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client = AzureOpenAIChatCompletionClient(
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api_version="2024-02-15-preview",
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azure_endpoint="https://aif-complex-tasks-west-us-3.openai.azure.com/",
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model="gpt-4o-2024-05-13",
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model_capabilities=ModelCapabilities(function_calling=True, json_output=True, vision=True),
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#azure_ad_token_provider=token_provider
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)
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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(
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"Executor",
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lambda: Executor("A agent for executing code", executor=LocalCommandLineCodeExecutor())
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)
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runtime.register("orchestrator", lambda: RoundRobinOrchestrator([coder, executor]))
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prompt = ""
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with open("prompt.txt", "rt") as fh:
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prompt = fh.read()
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entry_point = "__ENTRY_POINT__"
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task = f"""
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The following python code imports the `run_tests` function from unit_tests.py, and runs
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it on the function `{entry_point}`. This will run a set of automated unit tests to verify the
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correct implementation of `{entry_point}`. However, `{entry_point}` is only partially
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implemented in the code below. Complete the implementation of `{entry_point}` and then execute
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a new stand-alone code block that contains everything needed to run the tests, including: importing
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`unit_tests`, calling `run_tests({entry_point})`, as well as {entry_point}'s complete definition,
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such that this code block can be run directly in Python.
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```python
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from unit_tests import run_tests
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{prompt}
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# Run the unit tests
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run_tests({entry_point})
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```
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""".strip()
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await runtime.publish_message(BroadcastMessage(content=UserMessage(content=task, source="human")), namespace="default")
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# Run the runtime until the task is completed.
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await runtime.process_until_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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