Async vs Sync Usage#

OpenEnv supports both asynchronous and synchronous usage patterns.

When to Use Each#

Pattern	Best For	Performance
Async	Production, multiple environments, high throughput	⚡ Best
Sync	Scripts, notebooks, quick experiments	🐢 Good enough

Sync Usage#

For simple scripts and notebooks, use the .sync() wrapper:

from openenv import AutoEnv

env = AutoEnv.from_env("echo")

with env.sync() as client:
    result = client.reset()
    result = client.step(action)

Async Usage (Recommended)#

For production and parallel environments, use async directly:

import asyncio
from openenv import AutoEnv

async def main():
    env = AutoEnv.from_env("echo")

    async with env as client:
        result = await client.reset()
        result = await client.step(action)

asyncio.run(main())

Parallel Environments#

Run multiple environments concurrently:

import asyncio
from openenv import AutoEnv

async def run_episode(env_name: str):
    env = AutoEnv.from_env(env_name)
    async with env as client:
        result = await client.reset()
        # ... run episode
        return result

async def main():
    # Run 4 environments in parallel
    results = await asyncio.gather(
        run_episode("echo"),
        run_episode("echo"),
        run_episode("echo"),
        run_episode("echo"),
    )

asyncio.run(main())

Next Steps#

RL Framework Integration - Using async with RL training
Auto-Discovery - Discover and load environments