OpenAIError
OpenAIError
Stack trace
OpenAIError: Request stuck in queued status: no response received after timeout period
File "app.py", line 42, in run_openai_call
response = client.chat.completions.create(model="gpt-4o-mini", messages=messages)
File "/usr/local/lib/python3.10/site-packages/openai/api_resources/chat.py", line 75, in create
raise OpenAIError("Request stuck in queued status: no response received after timeout period") Why it happens
OpenAI requests can remain stuck in queued status when the API backend is overloaded, your account hits concurrency limits, or network timeouts occur. This prevents the client from receiving a response and blocks further processing.
Detection
Monitor request durations and catch OpenAIError exceptions indicating queued status; log request IDs and timestamps to identify persistent queuing.
Causes & fixes
Exceeded OpenAI concurrency or rate limits causing requests to queue indefinitely
Reduce parallel request volume or upgrade your OpenAI plan to increase concurrency limits.
Network connectivity issues or firewall blocking streaming responses
Ensure stable internet connection and allow outbound traffic to OpenAI endpoints on required ports.
Using synchronous calls without timeout handling causing indefinite wait on queued requests
Implement request timeouts and retries with exponential backoff to avoid hanging on queued requests.
Incorrect or missing API key environment variable causing authentication delays and queuing
Set the OPENAI_API_KEY environment variable correctly before making API calls.
Code: broken vs fixed
from openai import OpenAI
client = OpenAI()
response = client.chat.completions.create(
model="gpt-4o-mini",
messages=[{"role": "user", "content": "Hello"}]
) # This call may hang stuck in queued statusimport os
from openai import OpenAI, OpenAIError
import time
os.environ["OPENAI_API_KEY"] = "your_api_key_here" # Set your API key in env
client = OpenAI(api_key=os.environ["OPENAI_API_KEY"])
max_retries = 3
for attempt in range(max_retries):
try:
response = client.chat.completions.create(
model="gpt-4o-mini",
messages=[{"role": "user", "content": "Hello"}],
timeout=30 # Set a 30-second timeout to avoid indefinite queuing
)
print(response.choices[0].message.content)
break
except OpenAIError as e:
print(f"Attempt {attempt+1} failed: {e}")
if attempt == max_retries - 1:
raise
time.sleep(2 ** attempt) # Exponential backoff retryWorkaround
Wrap the API call in try/except OpenAIError, log the error, and retry after a delay; fallback to a cached response if available to maintain UX.
Prevention
Architect your system to limit concurrent OpenAI requests, use asynchronous calls with timeouts, and monitor API usage to avoid hitting concurrency limits.