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import json
import logging
import os
import traceback
import uuid
from abc import abstractmethod
from typing import List, AsyncGenerator, Any
from aworld.config import AgentConfig, TaskConfig, ContextRuleConfig, OptimizationConfig
from aworld.agents.llm_agent import Agent
from aworld.core.task import Task
from aworld.output import WorkSpace, AworldUI, Outputs
from aworld.output.ui.markdown_aworld_ui import MarkdownAworldUI
from aworld.output.utils import load_workspace
from aworld.runner import Runners
from client.aworld_client import AworldTask
class AworldBaseAgent:
def pipes(self) -> list[dict]:
return [{"id": self.agent_name(), "name": self.agent_name()}]
@abstractmethod
def agent_name(self) -> str:
pass
async def pipe(
self,
user_message: str,
model_id: str,
messages: List[dict],
body: dict
):
try:
logging.info(f"🤖{self.agent_name()} received user_message is {user_message}, form-data = {body}")
task = await self.get_task_from_body(body)
if task:
logging.info(f"🤖{self.agent_name()} received task is {task.task_id}_{task.client_id}_{task.user_id}")
task_id = task.task_id
else:
task_id = str(uuid.uuid4())
session_id = task_id
if body.get('metadata'):
# user_id = body.get('metadata').get('user_id')
session_id = body.get('metadata').get('chat_id', task_id)
task_id = body.get('metadata').get('message_id', task_id)
user_input = await self.get_custom_input(user_message, model_id, messages, body)
if task and task.llm_custom_input:
user_input = task.llm_custom_input
logging.info(f"🤖{self.agent_name()} call llm input is [{user_input}]")
# build agent task read from config
swarm = await self.build_swarm(body=body)
agent = None
if not swarm:
# build single agent task read from config
agent = await self.build_agent(body=body)
logging.info(f"🤖{self.agent_name()} build agent finished")
# return task
task = await self.build_task(agent=agent, task_id=task_id, user_input=user_input, user_message=user_message, body=body)
logging.info(f"🤖{self.agent_name()} build task finished, task_id is {task_id}")
workspace_type = os.environ.get("WORKSPACE_TYPE", "local")
workspace_path = os.environ.get("WORKSPACE_PATH", "./data/workspaces")
workspace = await load_workspace(session_id, workspace_type, workspace_path)
# render output
async_generator = await self.parse_task_output(session_id, task, workspace)
return async_generator()
except Exception as e:
return await self._format_exception(e)
async def _format_exception(self, e: Exception) -> str:
traceback.print_exc()
# tb_lines = traceback.format_exception(type(e), e, e.__traceback__)
# detailed_error = "".join(tb_lines)
# logging.error(e)
# return json.dumps({"error": detailed_error}, ensure_ascii=False)
return "💥💥💥process failed💥💥💥"
async def _format_error(self, status_code: int, error: bytes) -> str:
if isinstance(error, str):
error_str = error
else:
error_str = error.decode(errors="ignore")
try:
err_msg = json.loads(error_str).get("message", error_str)[:200]
except Exception:
err_msg = error_str[:200]
return json.dumps(
{"error": f"HTTP {status_code}: {err_msg}"}, ensure_ascii=False
)
async def get_custom_input(self, user_message: str,
model_id: str,
messages: List[dict],
body: dict) -> Any:
user_input = body["messages"][-1]["content"]
return user_input
@abstractmethod
async def get_history_messages(self, body) -> int:
task = await self.get_task_from_body(body)
if task:
return task.history_messages
return 100
@abstractmethod
async def get_agent_config(self, body) -> AgentConfig:
pass
@abstractmethod
async def get_mcp_servers(self, body) -> list[str]:
pass
async def build_agent(self, body: dict):
agent_config =await self.get_agent_config(body)
mcp_servers = await self.get_mcp_servers(body)
agent = Agent(
conf=agent_config,
name=agent_config.name,
system_prompt=agent_config.system_prompt,
mcp_servers=mcp_servers,
mcp_config=await self.load_mcp_config(),
history_messages=await self.get_history_messages(body),
context_rule=ContextRuleConfig(
optimization_config=OptimizationConfig(
enabled=False,
)
)
)
return agent
async def build_task(self, agent, task_id, user_input, user_message, body):
aworld_task = await self.get_task_from_body(body)
task = Task(
id=task_id,
name=task_id,
input=user_input,
agent=agent,
conf=TaskConfig(
task_id=task_id,
stream=False,
ext={
"origin_message": user_message
},
max_steps=aworld_task.max_steps if aworld_task else 100
)
)
return task
async def parse_task_output(self, chat_id, task: Task, workspace: WorkSpace):
_SENTINEL = object()
async def async_generator():
from asyncio import Queue
queue = Queue()
async def consume_all():
openwebui_ui = MarkdownAworldUI(
session_id=chat_id,
workspace=workspace
)
# get outputs
outputs = Runners.streamed_run_task(task)
# output hooks
await self.custom_output_before_task(outputs, chat_id, task)
# render output
try:
async for output in outputs.stream_events():
res = await AworldUI.parse_output(output, openwebui_ui)
if res:
if isinstance(res, AsyncGenerator):
async for item in res:
await queue.put(item)
else:
await queue.put(res)
custom_output = await self.custom_output_after_task(outputs, chat_id, task)
if custom_output:
await queue.put(custom_output)
await queue.put(task)
finally:
await queue.put(_SENTINEL)
# Start the consumer in the background
import asyncio
consumer_task = asyncio.create_task(consume_all())
while True:
item = await queue.get()
if item is _SENTINEL:
break
yield item
await consumer_task
logging.info(f"🤖{self.agent_name()} task#{task.id} output finished🔚🔚🔚")
return async_generator
async def custom_output_before_task(self, outputs: Outputs, chat_id: str, task: Task) -> str | None:
return None
async def custom_output_after_task(self, outputs: Outputs, chat_id: str, task: Task):
pass
async def get_task_from_body(self, body: dict) -> AworldTask | None:
try:
if not body.get("user") or not body.get("user").get("aworld_task"):
return None
return AworldTask.model_validate_json(body.get("user").get("aworld_task"))
except Exception as err:
logging.error(f"Error parsing AworldTask: {err}; data: {body.get('user_message')}")
traceback.print_exc()
return None
@abstractmethod
async def load_mcp_config(self) -> dict:
pass
async def build_swarm(self, body):
return None
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