Issue: Request timeout

[Hamza091]

Issue you'd like to raise.

I am getting following error after a period of inactivity, However, the issue resolves itself when I restart the server and run the same query.

Retrying langchain.llms.openai.completion_with_retry.._completion_with_retry in 4.0 seconds as it raised Timeout: Request timed out: HTTPSConnectionPool(host='api.openai.com', port=443): Read timed out. (read timeout=600).

How can I fix this issue?

Suggestion:

No response

[dosubot]

🤖

Hello,

Thank you for reaching out with your issue. Based on the error message you provided, it seems like the request to the OpenAI API is timing out. This could be due to a number of reasons such as network issues, the server being down, or the server taking too long to respond.

Here are a few solutions that have worked for similar issues in the past:

1. Check your internet connection: Make sure you have a stable internet connection and you're able to access other websites.

2. Check the server status: If possible, check if 'api.openai.com' is up and running. You can do this by trying to access the URL in a web browser or using a tool like ping or curl from the command line.

3. Increase the timeout: If the server is slow to respond, you might need to increase the timeout. In the requests library, you can do this by passing the timeout parameter to the get method like so: requests.get(url, timeout=10). This will wait for 10 seconds before giving up. You can adjust the timeout value as per your requirements.

4. Increase the max retries: You can also increase the maximum number of retries by creating a custom session with a Retry object. Here's an example:

from requests.adapters import HTTPAdapter
from requests.packages.urllib3.util.retry import Retry

session = requests.Session()
retry = Retry(total=5, backoff_factor=0.1, status_forcelist=[ 500, 502, 503, 504 ])
adapter = HTTPAdapter(max_retries=retry)
session.mount('http://', adapter)
session.mount('https://', adapter)

response = session.get(url)

This will retry the request 5 times with a delay between retries that increases each time (0.1, 0.2, 0.4, 0.8, 1.6 seconds).

5. Use a proxy: If you are using a proxy, you can try adding OpenAI proxy in your main.py as follows:

import openai
openai.proxy = {
            "http": "http://127.0.0.1:7890",
            "https": "http://127.0.0.1:7890"
        }

6. Adjust the request_timeout option: There is a request_timeout option on the OpenAI providers. You can declare this when instantiating the provider:

TIMEOUT = 60 # <= timeout in seconds. default is 600 (set by OpenAI)
llm = OpenAI(temperature=0, openai_api_key=OPENAI_API_KEY, request_timeout=TIMEOUT)

Please try these solutions and let me know if any of them work for you. If you continue to experience issues, please provide more details about your setup and the exact steps you're taking when you encounter the error.

Best,
Dosu

Sources

• Connection Timeout and Max Retries Exceeded in HTTPS Request
• Frequent Request timed out
• chain.run threw 403 error
• libs/langchain/langchain/chat_models/openai.py
• libs/langchain/langchain/llms/openai.py

---

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[GilbertGomez94]

Hi, I see the same error in my project, but in my case it takes up to 10 minutes before I get the timeout error. It doesn't happen all the time, but I would like to know if it is possible that a hotfix could be made to fix this from Langchain or if it actually comes from OpenAI.

According to our trace, the error is from a request through aiohttp.

[dosubot]

Hi, @Hamza091,

I'm helping the LangChain team manage their backlog and am marking this issue as stale. The issue you reported is about a request timeout error that occurs after a period of inactivity and resolves itself when the server is restarted. Dosubot provided potential solutions, including checking the internet connection, increasing timeout, and using a proxy. GilbertGomez94 also reported a similar timeout error in their project and inquired about a potential hotfix from Langchain or if the issue originates from OpenAI. Jennylihan showed agreement with GilbertGomez94's comment.

Could you please confirm if this issue is still relevant to the latest version of the LangChain repository? If it is, please let the LangChain team know by commenting on the issue. Otherwise, feel free to close the issue yourself, or it will be automatically closed in 7 days. Thank you!