Integrate with agentprotocol.ai

[AntonOsika]

gpt-engineer is proud to be supporting AEIF, the foundation behind agent protocol.

Would be nice to be integrated! 🚀

It's quite straightforward, and gives an API and automatic evaluation for gpt-engineer:

1. Create a file called api.py
2. Set up a "create task" handler and "access step" handler in there
3. Only support one "step" in the beginning: Generate a codebase
4. See below pseudocode for how to do it

from agent_protocol import Agent, Step, Task

def generate_code(task: Task, step: Step) -> Step:
    # only this is gpt-engineer specific
    path = Agent.get_workspace(task.task_id)
    
    dbs = DBs(DB(path / "input"), DB(path / "memory"), ...)
    ai = AI(...)
    for gpte_step in STEPS[StepConfig.simple]:
         gpte_step(ai, dbs)
         
    path = Path("./" + file_path)
    files = chat_to_files(dbs.workspace['all_output.txt'])
    for f, _ in files:
        await Agent.db.create_artifact(
            task_id=task.task_id,
            step_id=step.step_id,
            relative_path= (Path('workspace') / f).parent,
            file_name=Path(f).name
        )
    return step


async def task_handler(task: Task) -> None:
    await Agent.db.create_step(task.task_id, "generate_code")


async def step_handler(step: Step):
    task = await Agent.db.get_task(step.task_id)
    generate_code(task, step)


Agent.setup_agent(task_handler, step_handler).start()

[AntonOsika]

🚀