I have been having issues with davinci and turbo models because they have been slow and I get timeout errors. We have users on our platform and would like them to have a reliable service to use. Is there just a constant influx of requests happening that is causing these issues to the openai servers. Also I saw there was an outage less than an hour ago is that still impacting the requests?
#GPT 3.5i Turbo & Davinci models very slow and requests timeout
77 messages · Page 1 of 1 (latest)
Same here - the API is currently incredibly slow and often times out. Sadly this tends to happen every time OpenAI launches a new product. It's so inconsistent that it's almost impossible to use right now.
This is not fair at all. We’re paying for this service so that we can offer something reliable to a user base and new things keep releasing and screwing up the apis.
It's very slow right now
same here. very delayed response if any at all
Also seeing this. The specific error I'm getting is: APIConnectionError: Error communicating with OpenAI: ('Connection aborted.', ConnectionResetError(104, 'Connection reset by peer'))
In this specific case I had a 5 second buffer between requests
Also seeing this since last night - responses on Davinci completion are taking >20s and timing out
I was giving a live demo of my app this morning and had it fail due to exceeding the timeout. It was so embarrassing 
Same here. Terribly inconsistent connection since last night.(gptturbo3.5) But my servers located in different locations request at varying speeds and some being unaffected at all. I guess Openai has cut down the servers on certain parts of the API since yesterday,
Same here! I hope that in the future the API will be stable on response times. For production projects that rely heavily on this API, you'll have to trust their server
same here, sometimes it is fast, and sometimes it takes like 3 minutes for a simple prompt
Same here
Extremely slow
Since GPT-4 and even a day before the announcement, everything has been slow for me on the API end with the exception of older models, e.g. Davinci 003
Can't be a coincidence anymore
feels bad spending money on ads to have user potentially get no response
This is actually ridiculous why do the early adopters have to get the short end of the stick
The API is very slow
Sometimes fast sometimes slow doesn't seem to matter what I send it
const response = await axios.post(
"https://api.openai.com/v1/chat/completions",
{
model: "gpt-3.5-turbo",
messages: [
...updatedMessages.map((message) => ({
role: message.sender,
content: message.text,
})),
],
},
{
headers: {
"Content-Type": "application/json",
Authorization: Bearer ${apikey},
},
}
);
I can't even get an output it's so slow. I thought for sure it would be fixed by today... but nothing.
It just took 3 minutes to get a 1 paragraph response from davinci-003, and the other paragraph timed out. Setting cURL to 10 retries works, but I hope I'm not being charged for these retry attempts.
5 min response time on testing simple prompts in the playground
Hey, I'm getting a lot of timeout requests today. This has been happening a lot the past few days where the request just hangs. Anyone else having this issue?
Yep, getting timeouts all the time. Started this morning for me...
is this issue getting solved soon ? my request via python and chat complete api using turbo freeze all the time here in germany today and yesterday... ?? can we get a stable working api back please ?
is there any rate limit for the request ? i have put a 3 second delay for every request now
i got again the error "Traceback (most recent call last):
File "C:\dev\content\head5.py", line 55, in <module>
response = openai.ChatCompletion.create(
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\admin\AppData\Local\Programs\Python\Python311\Lib\site-packages\openai\api_resources\chat_completion.py", line 25, in create
return super().create(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\admin\AppData\Local\Programs\Python\Python311\Lib\site-packages\openai\api_resources\abstract\engine_api_resource.py", line 153, in create
response, _, api_key = requestor.request(
^^^^^^^^^^^^^^^^^^
File "C:\Users\admin\AppData\Local\Programs\Python\Python311\Lib\site-packages\openai\api_requestor.py", line 226, in request
resp, got_stream = self._interpret_response(result, stream)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\admin\AppData\Local\Programs\Python\Python311\Lib\site-packages\openai\api_requestor.py", line 619, in _interpret_response
self._interpret_response_line(
File "C:\Users\admin\AppData\Local\Programs\Python\Python311\Lib\site-packages\openai\api_requestor.py", line 679, in _interpret_response_line
raise self.handle_error_response(
openai.error.RateLimitError: The server had an error while processing your request. Sorry about that!
"
this time it seems to be really a ratelimit error
Sadly these errors seem to happen every time OpenAI launches a new product… the last major one lasted a week without the API status saying there was a problem at all. The only hope we have is an OpenAI team member seeing this post.
If you use PHP, you can make curl retry until it works. Sometimes it takes 5-10 retries but it does eventually work.
Hi, question regarding long form text generation using the chatgpt3.5-turbo Api.
I've created a dynamic prompt that gets variables from a DB. The avg length of prompt is around ~430 tokens and the expected output should be around ~ 2000 tokens. I get a much smaller output than expected, I'm wondering if keep runing with a single long prompt to provide the output (better in terms of keeping the context) or either design the prompt to "remember" the previous m/ and run multiple prompts for each output. Any toughts regarding this? Tnx
do an own thread for this ..would be the better idea i think...
Been extremely slow for the past 2 days, half of the requests from my app are failing…
Same here. So annoying.
I have been having the same issue, including internal 502 errors and general timeouts
If OpenAI wants developers to build their businesses on top of this API, it's going to have to get a whole lot more reliable than this.
Yes, this issue started yesterday and we're still facing slow responses. Is there anyone here from OpenAI support?
3 days of silence
In the meantime, I suggest making it apparent to your end-users which party is at fault for the errors and slow responses :P
facts
I tried asking ChatGPT to formulate an error message that blames OpenAI for the recent degradation in service but it wouldn't let me 😅
https://twitter.com/ofirski_/status/1637829046611460096?s=20
ngl was thinking about this
User: How long does it take until our Sun starts expanding and we all burn do death?
GPT:

Still waiting...
I’m literally going to implement this thank you 😂
I had luck with the API locally but it seems my prod site is totally dead
mine too.. been 12+ hours and counting.. not even 1 response from it
havent heard anything from the openai team about anything either...
It seems largely resolved for at least text-davinci-003. I was seeing up to 2m timeouts on roughly half or a third of trivial requests, and now I can run 40 requests in a row all completing in under two seconds.
Seems to be getting slightly better on my end too
yep good here as well now.
ive also added backoff
An API for accessing new AI models developed by OpenAI
is def helping
my api still not getting a response
tried 2 accounts, different keys
3.5 turbo or 4
Erros again and again last night but with this code this time:
data: {
error: {
message: 'The server had an error while processing your request. Sorry about that!',
type: 'server_error',
param: null,
code: null
}
}
4th day of bug, it becomes difficult to trust
im using some delay between api requests.
of how long?
same with gpt4, almost not working, waiting for respon 160+ seconds
For me it seems to be fixed, no error since this morning
For gpt-3.5
And fast responses
Rediculous trying to get anything done over the API during working day, they need to just end Free ChatGPT period. So its not impacting other services
look into backoff lib:
https://platform.openai.com/docs/guides/rate-limits/request-increase
An API for accessing new AI models developed by OpenAI
might help
I would be fine with a small business tier if it meant reliable service on separate infrastructure
curious - if locally it works fine, but in production seems to time out - any suggestions on what could be causing it? (streaming, PHP)