trio Best Practices
Trio is the definitive choice for new async-first Python projects in 2025, prioritizing usability and correctness through structured concurrency. Adhere to these guidelines for maintainable, high-performance code.
1. Structured Concurrency with Nurseries
Always manage concurrent tasks within a trio.open_nursery(). This guarantees that all spawned tasks complete or are cancelled together, preventing hidden task leaks and simplifying error handling.
❌ BAD: Fire-and-forget tasks
import trio
async def background_task():
await trio.sleep(100) # This task will run indefinitely, unmanaged
async def main():
# No nursery, no explicit management
trio.lowlevel.spawn_system_task(background_task)
print("Main task exiting, background task is orphaned.")
trio.run(main)
✅ GOOD: Tasks within a nursery
import trio
async def managed_task(task_id: int):
print(f"Task {task_id} started.")
await trio.sleep(1)
print(f"Task {task_id} finished.")
async def main():
async with trio.open_nursery() as nursery:
nursery.start_soon(managed_task, 1)
nursery.start_soon(managed_task, 2)
print("All tasks in nursery completed.")
trio.run(main)
2. Explicit Cancellation and Timeouts
Trio's cancellation model is robust. Use cancel_scope for explicit control over task lifetimes and trio.Cancelled for graceful cleanup.
❌ BAD: Ignoring cancellation or using raw try...except
import trio
async def long_running_operation():
try:
await trio.sleep(10)
print("Operation completed.")
except Exception: # Too broad, doesn't specifically handle cancellation
print("Operation failed somehow.")
async def main():
with trio.move_on_after(0.1) as cancel_scope:
await long_running_operation()
if cancel_scope.cancelled_caught:
print("Operation was cancelled.")
trio.run(main)
✅ GOOD: Handling trio.Cancelled for cleanup
import trio
async def long_running_operation():
try:
print("Starting long operation...")
await trio.sleep(10)
print("Operation completed.")
except trio.Cancelled:
print("Operation was cancelled, performing cleanup.")
# Perform necessary cleanup here
raise # Re-raise to propagate cancellation
async def main():
async with trio.open_nursery() as nursery:
nursery.start_soon(long_running_operation)
await trio.sleep(0.1)
nursery.cancel_scope.cancel() # Explicitly cancel the nursery
trio.run(main)
3. I/O Hygiene: Never Block the Event Loop
Blocking calls (e.g., time.sleep(), synchronous file I/O, requests.get()) will starve the event loop and halt all other concurrent tasks. Use Trio-aware alternatives or offload to a thread.
❌ BAD: Blocking call in an async def function
import time
import trio
async def fetch_data_blocking():
print("Fetching data (blocking)...")
time.sleep(2) # Blocks the entire event loop!
print("Data fetched.")
return {"data": "example"}
async def main():
async with trio.open_nursery() as nursery:
nursery.start_soon(fetch_data_blocking)
nursery.start_soon(fetch_data_blocking) # These will run sequentially
trio.run(main)
✅ GOOD: Offloading blocking calls with trio.to_thread.run_sync
import time
import trio
def _blocking_fetch_data(): # This is a regular sync function
print("Fetching data (blocking in thread)...")
time.sleep(2)
print("Data fetched in thread.")
return {"data": "example"}
async def fetch_data_non_blocking():
return await trio.to_thread.run_sync(_blocking_fetch_data)
async def main():
async with trio.open_nursery() as nursery:
nursery.start_soon(fetch_data_non_blocking)
nursery.start_soon(fetch_data_non_blocking) # These will run concurrently
trio.run(main)
For network I/O, use trio.socket, trio-http-client, or httpx (with trio backend).
4. Type Safety and Linting
Mandate type hints for all async def functions, variables, and return types. Use mypy --strict and flake8-async (or Ruff with ASYNC rules) to catch common async-related errors early.
❌ BAD: Missing type hints, potential runtime errors
import trio
async def process_item(item): # 'item' has no type hint
await trio.sleep(0.1)
return item * 2
async def main():
result = await process_item("text") # Will fail at runtime if 'item' is str
print(result)
trio.run(main)
✅ GOOD: Comprehensive type hints
import trio
async def process_item(item: int) -> int:
await trio.sleep(0.1)
return item * 2
async def main():
result = await process_item(5) # Type checker will catch incorrect usage
print(result)
trio.run(main)
Configure ruff to enable ASYNC rules (e.g., select = ["E", "F", "ASYNC"] in pyproject.toml).
5. Interoperability with AnyIO
When building libraries or applications that need to be framework-agnostic (e.g., compatible with FastAPI, which uses AnyIO), write your async code using AnyIO primitives. This keeps your codebase portable across Trio, asyncio, and Curio.
# Using AnyIO for portable async code
import anyio
async def do_something_concurrently():
async with anyio.create_task_group() as tg:
tg.start_soon(anyio.sleep, 1)
tg.start_soon(anyio.sleep, 2)
print("AnyIO tasks completed.")
async def main():
await do_something_concurrently()
# Run with Trio backend
anyio.run(main, backend="trio")
6. Testing Approaches
Leverage trio.testing for reliable and deterministic tests of your asynchronous code.
import trio
import trio.testing
import pytest
async def worker(value: int) -> int:
await trio.sleep(0.01)
return value * 2
@pytest.mark.trio
async def test_worker_doubles_value():
# Use trio.testing.wait_all_tasks_blocked() for deterministic execution
async with trio.open_nursery() as nursery:
send_channel, receive_channel = trio.open_memory_channel(0)
nursery.start_soon(lambda: nursery.start_soon(worker, 5)) # Example task
await trio.testing.wait_all_tasks_blocked() # Ensures tasks yield
# Assertions about task state or results
assert await worker(3) == 6