High severity intermediate · Fix: 5-10 min

TimeoutError

asyncio.exceptions.TimeoutError

What this error means
Together AI inference timeout error occurs when the model server does not respond within the expected time limit during a request.

Stack trace

traceback
Traceback (most recent call last):
  File "app.py", line 42, in <module>
    response = client.inference.create(model="together/gpt-neox-20b", prompt="Hello")
  File "/usr/local/lib/python3.9/site-packages/togetherai/client.py", line 88, in create
    return asyncio.run(self._send_request(payload))
  File "/usr/lib/python3.9/asyncio/runners.py", line 44, in run
    return loop.run_until_complete(main)
  File "/usr/lib/python3.9/asyncio/base_events.py", line 616, in run_until_complete
    return future.result()
  File "/usr/local/lib/python3.9/site-packages/togetherai/client.py", line 75, in _send_request
    await asyncio.wait_for(self._session.post(self._url, json=payload), timeout=10)
asyncio.exceptions.TimeoutError
QUICK FIX
Increase the timeout parameter in the Together AI client inference call or add retry logic with backoff to handle transient delays.

Why it happens

Together AI inference timeout error happens when the request to the Together AI model server exceeds the configured timeout limit, often due to network latency, server overload, or large prompt processing time. The client SDK uses asyncio with a timeout parameter that triggers this exception if the server does not respond in time.

Detection

Monitor your inference calls for asyncio TimeoutError exceptions and log request durations; set alerts on repeated timeouts to catch network or server issues early.

Causes & fixes

1

Network latency or connectivity issues causing delayed server response

✓ Fix

Check your network connection and retry the request with exponential backoff to handle transient network delays.

2

Together AI server overloaded or slow due to high traffic or large prompt size

✓ Fix

Reduce prompt size or complexity, or implement retry logic with increased timeout to accommodate longer processing times.

3

Client-side timeout parameter set too low for the inference request

✓ Fix

Increase the timeout value in the client SDK call to allow more time for the server to respond.

Code: broken vs fixed

Broken - triggers the error
python
from togetherai import TogetherAI
client = TogetherAI(api_key="my_api_key")
response = client.inference.create(model="together/gpt-neox-20b", prompt="Hello")  # This line raises TimeoutError
Fixed - works correctly
python
import os
from togetherai import TogetherAI
import asyncio

os.environ["TOGETHERAI_API_KEY"] = "your_api_key_here"
client = TogetherAI(api_key=os.environ["TOGETHERAI_API_KEY"])

async def run_inference():
    try:
        response = await asyncio.wait_for(
            client.inference.create(model="together/gpt-neox-20b", prompt="Hello"),
            timeout=30  # Increased timeout from default
        )
        print(response)
    except asyncio.TimeoutError:
        print("Inference request timed out. Consider retrying with backoff.")

asyncio.run(run_inference())  # Added async call with increased timeout and error handling
Added asyncio.wait_for with increased timeout and try/except to catch TimeoutError, allowing longer wait and graceful handling of inference delays.

Workaround

Wrap the inference call in a try/except block catching asyncio.TimeoutError, then retry the request with exponential backoff or fallback to a cached response if available.

Prevention

Implement robust retry logic with exponential backoff and increase client-side timeout settings; monitor network health and Together AI server status to avoid hitting timeouts.

Python 3.9+ · togetherai >=0.1.0 · tested on 0.2.5
Verified 2026-04
Verify ↗

Community Notes

No notes yetBe the first to share a version-specific fix or tip.