---
title: "Why am I getting intermittent httpx.ReadTimeout errors when streaming OpenAI API responses in Python?"  
description: "Why am I getting intermittent httpx.ReadTimeout errors when streaming OpenAI API responses in Python?"  
author: "Uttam Misra"  
published: 2026-09-22  
canonical: https://answers.mindstick.com/qa/117263/why-am-i-getting-intermittent-httpx-readtimeout-errors-when-streaming-openai-api-responses-in-python  
category: "Artificial Intelligence"  
tags: ["openai", "Python", "api", "troubleshooting", "HTTPX"]  
reading_time: 2 minutes  

---

# Why am I getting intermittent httpx.ReadTimeout errors when streaming OpenAI API responses in Python?

I am using the Python `openai` SDK to stream chat responses from `gpt-4o` for a web application. Randomly, during longer output generations, the response stream breaks and raises an `httpx.ReadTimeout` error.

## What causes read timeouts during streaming?

By default, the `openai` client uses HTTPX under the hood with default timeout settings (typically around 60 seconds). When streaming complex responses, if the model pauses briefly between tokens or if network latency spikes, HTTPX detects no incoming data and closes the socket.

### How to override default timeouts in the client

You can customize the `httpx.Timeout` parameters directly when instantiating the client to handle long streaming sessions without unexpected disconnects.

```python
import httpx
from openai import OpenAI

# Configure custom timeout thresholds using httpx.Timeout
custom_timeout = httpx.Timeout(
    connect=10.0,  # Time allowed to establish server connection
    read=180.0,    # Max allowed gap between streamed chunks (in seconds)
    write=10.0,    # Time allowed to transmit payload
    pool=5.0       # Time allowed to acquire connection from pool
)

# Pass the configured timeout to the OpenAI client instance
client = OpenAI(
    timeout=custom_timeout
)

# Stream completions using the custom client configuration
response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Write a detailed architectural design document."}],
    stream=True
)
```

Is adjusting the read timeout the best way to handle this, or should client applications also implement chunk-level reconnect logic?


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Original Source: https://answers.mindstick.com/qa/117263/why-am-i-getting-intermittent-httpx-readtimeout-errors-when-streaming-openai-api-responses-in-python

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