RuntimeError: This event loop is already running — asyncio Loop Conflict
Symptom
RuntimeError: This event loop is already running- Happens when calling
asyncio.run()inside an async context - Common in: Jupyter notebooks, FastAPI routes, pytest-asyncio tests
- Error:
asyncio.run() cannot be called when another event loop is running - Wrapping async code with
asyncio.get_event_loop().run_until_complete()also fails
Root Cause
asyncio.run() creates a new event loop and runs the coroutine. But if you’re already inside an async context (FastAPI request handler, Jupyter cell, existing async code), there’s already a running event loop. Python doesn’t allow nested event loops by default.
Fix
Option 1: Use await instead of asyncio.run()
# BAD — trying to run async function from sync context inside async
async def handle_request():
result = asyncio.run(some_async_function()) # Crashes!
# GOOD — just await it
async def handle_request():
result = await some_async_function() # Works
Option 2: Jupyter notebooks — use nest_asyncio
# Jupyter already has a running event loop
# nest_asyncio patches asyncio to allow nested loops
import nest_asyncio
nest_asyncio.apply() # Call once at the top of your notebook
import asyncio
result = asyncio.run(your_async_agent()) # Now works in Jupyter
Option 3: FastAPI / Starlette — use async route handlers
from fastapi import FastAPI
app = FastAPI()
# BAD — sync route calling async code
@app.post("/chat")
def chat(message: str):
result = asyncio.run(agent.process(message)) # Crashes in FastAPI
return result
# GOOD — async route handler
@app.post("/chat")
async def chat(message: str):
result = await agent.process(message) # Works
return result
Option 4: Get or create event loop (for library code)
import asyncio
def run_async_safely(coro):
"""Run async code safely regardless of whether loop is running"""
try:
loop = asyncio.get_running_loop()
# Already in async context — schedule the coroutine
import concurrent.futures
future = asyncio.ensure_future(coro)
return future # Caller must await this
except RuntimeError:
# No running loop — safe to use asyncio.run()
return asyncio.run(coro)
Option 5: Thread-based workaround for sync contexts
import asyncio
import threading
def run_async_in_thread(coro):
"""Run async coroutine from a sync context safely"""
result = [None]
exception = [None]
def target():
try:
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
result[0] = loop.run_until_complete(coro)
except Exception as e:
exception[0] = e
finally:
loop.close()
thread = threading.Thread(target=target)
thread.start()
thread.join()
if exception[0]:
raise exception[0]
return result[0]
# Use when you MUST call async from sync and can't use await
response = run_async_in_thread(agent.process(message))
Diagnostic Quick Check
import asyncio
def check_event_loop_state():
try:
loop = asyncio.get_running_loop()
print(f"Event loop IS running: {loop}")
print("Use 'await' or 'asyncio.ensure_future()' — NOT asyncio.run()")
except RuntimeError:
print("No event loop running — asyncio.run() is safe to use")
Expected Token Savings
Debugging asyncio event loop errors: ~4,000 tokens Understanding root cause once: prevents all future occurrences
Environment
- Python 3.7+ with asyncio
- Common in: Jupyter notebooks, FastAPI, Starlette, pytest-asyncio
- Source: Python asyncio documentation, direct experience
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