AutoGPT/agbenchmark/agent_api_interface.py

54 lines
2.0 KiB
Python

import os
import time
from typing import Any, Dict
from agent_protocol_client import AgentApi, ApiClient, Configuration, TaskRequestBody
from agbenchmark.agent_interface import get_list_of_file_paths
from agbenchmark.utils.data_types import ChallengeData
async def run_api_agent(
task: ChallengeData, config: Dict[str, Any], artifacts_location: str, timeout: int
) -> None:
configuration = Configuration(host=config["host"])
async with ApiClient(configuration) as api_client:
api_instance = AgentApi(api_client)
task_request_body = TaskRequestBody(input=task.task)
start_time = time.time()
response = await api_instance.create_agent_task(
task_request_body=task_request_body
)
task_id = response.task_id
for file in get_list_of_file_paths(artifacts_location, "artifacts_in"):
print(f"[{task.name}] - Copy {file.split('/')[-1]} to agent")
await api_instance.upload_agent_task_artifacts(task_id=task_id, file=file)
i = 1
while step := await api_instance.execute_agent_task_step(task_id=task_id):
print(f"[{task.name}] - step {step.name} ({i}. request)")
i += 1
if step.is_last:
break
if time.time() - start_time > timeout:
raise TimeoutError("Time limit exceeded")
artifacts = await api_instance.list_agent_task_artifacts(task_id=task_id)
for artifact in artifacts:
print(f"[{task.name}] - Copy {artifact.file_name} from agent")
if artifact.relative_path:
folder_path = os.path.join(config["workspace"], artifact.relative_path)
else:
folder_path = os.path.join(config["workspace"])
with open(os.path.join(folder_path, artifact.file_name), "wb") as f:
content = await api_instance.download_agent_task_artifact(
task_id=task_id, artifact_id=artifact.artifact_id
)
f.write(content)