Use MetaGPT

Introduction

MetaGPT is a multi-agent framework. We made it so that agent applications developed with MetaGPT can run on AIOS by adding just one line of code.

Quick start

For installation and usage of open-interpreter, please refer to the official metagpt documentation.

If you want to run an application developed with MetaGPT on AIOS, please add prepare_framework() before you use MetaGPT, and select a framework type through FrameworkType. When you want to use MetaGPT, you should use FrameworkType.MetaGPT.

Then nothing needs to change, use MetaGPT as usual.

with aios_starter(**vars(args)):
    prepare_framework(FrameworkType.MetaGPT)

    repo: ProjectRepo = generate_repo("Create a 2048 game")  # or ProjectRepo("<path>")
    print(repo)

or use Data Interpreter to write code:

with aios_starter(**vars(args)):
    prepare_framework(FrameworkType.MetaGPT)

    async def di_main():
        di = DataInterpreter()
        await di.run("Run data analysis on sklearn Iris dataset, include a plot")

    asyncio.run(di_main())  # or await main() in a jupyter notebook setting

aios_starter will start the scheduler so that AIOS can manage llm call. Details and More examples can be found in agiresearch/AIOS

MetaGPT requires a longer output context to generate longer code, so you may need to use --max_new_tokens to set a larger output token length.

python scripts/aios-metagpt/example_aios_metagpt.py --llm_name gpt-4o-mini --max_new_tokens 4000