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import asyncio
import logging
from collections.abc import AsyncIterator
from contextlib import asynccontextmanager
from typing import Any, Literal, Self
from omegaconf import OmegaConf
from pydantic import BaseModel
from proxy_lite.environments import (
Action,
BaseEnvironment,
EnvironmentConfigTypes,
Environments,
EventType,
Observation,
)
from proxy_lite.logger import create_logger
from proxy_lite.recorder import DataRecorder, Run
from proxy_lite.solvers import (
BaseSolver,
SolverConfigTypes,
Solvers,
)
@asynccontextmanager
async def async_timeout(timeout: float, task_name: str = "timeout"):
try:
async with asyncio.TaskGroup() as tg:
async def timeout_task():
await asyncio.sleep(timeout)
raise TimeoutError(
f"Operation {task_name} timed out after {timeout} seconds",
)
# Create the timeout task
timeout_handle = tg.create_task(timeout_task())
try:
yield
finally:
timeout_handle.cancel()
except* asyncio.TimeoutError as eg:
for e in eg.exceptions:
raise e
except* Exception as eg:
for e in eg.exceptions:
raise e
class RunnerConfig(BaseModel):
environment: EnvironmentConfigTypes
solver: SolverConfigTypes
save_every_step: bool = True
max_steps: int = 50
action_timeout: float = 600.0
environment_timeout: float = 300.0
task_timeout: float = 1800.0
logger_level: Literal["DEBUG", "INFO", "WARNING", "ERROR"] = "INFO"
detailed_logger_name: bool = False
@classmethod
def from_dict(cls, config_dict: dict) -> Self:
conf = OmegaConf.create(config_dict)
config_dict = OmegaConf.to_container(conf, resolve=True)
return cls(**config_dict)
@classmethod
def from_yaml(cls, yaml_path: str) -> Self:
conf = OmegaConf.load(yaml_path)
config_dict = OmegaConf.to_container(conf, resolve=True)
return cls(**config_dict)
class Runner(BaseModel):
config: RunnerConfig
recorder: DataRecorder | None = None
environment: type[BaseEnvironment] | None = None
solver: type[BaseSolver] | None = None
logger: logging.Logger | None = None
_run: Run | None = None
class Config:
arbitrary_types_allowed = True
def model_post_init(self, __context: Any) -> None:
super().model_post_init(__context)
self.environment = Environments.get(self.config.environment.name)
self.solver = Solvers.get(self.config.solver.name)
self.recorder = DataRecorder()
self.logger = create_logger(
name=f"([bold purple]{self.config.solver.name}[/]-[bold blue]{self.config.environment.name}[/])",
level=self.config.logger_level,
detailed_name=self.config.detailed_logger_name,
)
async def run_generator(self, task: str) -> AsyncIterator[Run]:
async with (
async_timeout(self.config.task_timeout, "Task"),
):
if self.config.logger_level is not None:
self.logger.setLevel(self.config.logger_level)
run = self.recorder.initialise_run(task)
run.environment = self.config.environment
run.solver = self.config.solver
self.logger.debug(f"Run intialised: {run.run_id}")
event_queue = asyncio.Queue()
async with (
self.environment(
config=self.config.environment,
logger=self.logger,
) as environment,
self.solver(config=self.config.solver, logger=self.logger) as solver,
):
run.env_info = await environment.get_info()
await solver.initialise(
task,
environment.tools,
environment.info_for_user,
)
self.logger.debug("Solver initialised.")
run.solver_history = solver.history
observation: Observation = await environment.initialise()
await event_queue.put(observation)
self.logger.debug("Environment initialised.")
step_count = 0
while step_count < self.config.max_steps:
event = await event_queue.get()
self.logger.debug(f"🤖 [bold purple]Processing event:[/] {event.type}")
match event.type:
case EventType.OBSERVATION:
observation: Observation = event
run.record(
observation=observation,
solver_history=solver.history,
)
async with async_timeout(
self.config.action_timeout,
"Action decision",
):
action: Action = await solver.act(observation)
await event_queue.put(action)
case EventType.ACTION:
action: Action = event
self.logger.debug(f"Tool calls: {action.tool_calls}")
run.record(action=action, solver_history=solver.history)
run.complete = await solver.is_complete(observation)
if self.config.save_every_step:
await self.recorder.save(run)
if run.complete:
run.result = action.text
self.logger.info(f"🤖 [bold purple]Task complete.[/] ✨ \n{run.result}")
break
self.logger.debug(f"DEBUG: Using environment_timeout: {self.config.environment_timeout} seconds")
async with async_timeout(
self.config.environment_timeout,
"Environment response",
):
observation: Observation = await environment.execute_action(action)
step_count += 1
await event_queue.put(observation)
yield run
if not run.complete:
self.logger.warning("🤖 [bold purple]Ran out of steps!")
await self.recorder.terminate(run, save=True)
yield run
async def run(self, task: str) -> Run:
async for run in self.run_generator(task):
self._run = run
return run
def run_concurrent(self, tasks: list[str]) -> list[Run]:
async def gather_runs():
return await asyncio.gather(
*[self.run(task) for task in tasks],
return_exceptions=True,
)
return asyncio.run(gather_runs())
@property
def complete(self) -> bool:
if self._run is None:
raise RuntimeError("Run not initialised")
return self._run.complete
@property
def run_id(self) -> str:
if self._run is None:
raise RuntimeError("Run not initialised")
return self._run.run_id
@property
def run_result(self) -> str:
if self._run is None:
raise RuntimeError("Run not initialised")
return self._run.result
if __name__ == "__main__":
from proxy_lite.logger import logger
config = RunnerConfig.from_dict(
{
"environment": {
"name": "webbrowser",
"homepage": "https://www.google.com",
"viewport_width": 1280,
"viewport_height": 1920,
"screenshot_delay": 1,
"headless": False,
},
"solver": {
"name": "simple",
"agent": {
"name": "proxy_lite",
"client": {
"name": "convergence",
"model_id": "convergence-ai/proxy-lite",
"api_base": "https://convergence-ai-demo-api.hf.space/v1",
},
},
},
"max_steps": 150,
"action_timeout": 1800,
"environment_timeout": 1800,
"task_timeout": 18000,
"logger_level": "DEBUG",
},
)
logger.info(f"🤖 [bold purple]Config:[/] {config}")
runner = Runner(config=config)
result = asyncio.run(runner.run("Tell me the tesla stock price."))
print(runner.run_result)
print(runner.complete)
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