I keep getting the error Blocked 429 too many requests. I have waited several hours and still get this error. Is there something wrong with my account? I am trying to set the temperature on my thermostat via a PUT request. I have made only a few calls to this endpoint.
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On occasion I'm getting a rate limit error without being over my rate limit. I'm using the text completions endpoint on the paid api which has a rate limit of 3,000 requests per minute. I am using at most 3-4 requests per minute.
Sometimes I will get the following error from the api:
Status Code: 429 (Too Many Requests)
Open Ai error type: server_error
Open Ai error message: That model is currently overloaded with other requests. You can retry your request, or contact us through our help center at help.openai.com if the error persists.
Open ai documentation states that a 429 error indicates that you have exceeded your rate limit which clearly I have not.
https://help.openai.com/en/articles/6891829-error-code-429-rate-limit-reached-for-requests
The weird thing is the open ai error message is not stating that. It is giving the response I usually get from a 503 error (service unavailable).
I'd love to hear some thoughts on this, any theories, or if anyone else has been experiencing this.
I have seen a few message on the OpenAI community forum with similar messages. I suggest checking out the error code guide we have with suggestion to mitigate these errors, in general though, it's possible the model itself was down and has nothing to do with your rate limit: https://platform.openai.com/docs/guides/error-codes
This error indicates the OpenAI servers have too many requests from all users and their servers have reached their capacity to service your request. It's pretty common at the moment.
Hopefully they will upgrade their servers soon. Not really sure why it is a big problem since they run on Azure and should be able to scale based on ramped up demand. Maybe they are just trying to minimise costs.
The HTTP status code 429 tells the client making the request to back off and retry the request after a period specified in the response's Retry-After header.
In a single-threaded client, it is obvious that the thread getting the 429 should wait as told and then retry. But the RFC explicitly states that
this specification does not define how the origin server identifies
the user, nor how it counts requests.
Consequently, in a multi-threaded client, the conservative approach would stop all threads from sending requests until the Retry-After point in time. But:
Many threads may already be past the point where they can note the information from the one rejected thread and will send at least one more request.
The global synchronization between the threads can be a pain to implement and get right
If the setup runs not only several threads but several clients, potentially on different machines, backing off all of them on one 429 becomes non-trivial.
Does anyone have specific data from the field how servers of cloud providers actually handle this? Will they get immediately aggravated if I don't globally hold back all threads. Microsoft's advice is
Wait the number of seconds specified in the Retry-After field.
Retry the request.
If the request fails again with a 429 error code, you are still being throttled. Continue to use the recommended Retry-After delay and retry the request until it succeeds.
It twice says 'the request' not 'any requests' or 'all requests', but this is legal-type interpretation I am not confident about.
To be sure this is not an opinion question, let me phrase it as fact-based as possible:
Are there more detailed specifications for cloud APIs (Microsoft, Google, Facebook, Twitter) then the example above that allow me to make an informed decision whether global back-off is necessary or whether it suffices to back-off with the specific request that got the 429?
Servers knows that its tuff to sync or expect programmers to do this. So doubt if there is a penalty unless they get an ocean of requests that do not back off at all after 429.
Each thread should wait, but each would, after being told individually.
A good system would know what its rate is and be within that. One way to impolement this is having a sleepFor variable between requests. Exact prod value can be arrived at by trial and error, and would be the sleep time minus the previous request time.
So if one requests ends, and say it took x milliseconds. Now if the sleep time is
0 or less, move immediately to next request
if 1 or more than find out sleepTime - x, if this is less than 1, go to next immediately, else sleep for so many milliseconds and then move to next request.
Another way would be to have a timeCountStrarted at request 1; count for every 5 minutes or so. After every request, check if the actual request count of current thread is more than that. If yes current thread sleeps till 5 minutes is up before moving to next. Here 5 can be configured as the timePeriod. If after a request the count is not more than set figure but time elapsed since timeCountStrarted is more than 5 minutes; then set timeCountStrarted to current time and the count of requests to 0.
What we do is keep these configuration values in a data base but cache them at run time.
Also have a page to invalidate the caches so if we like we can update the data base from an admin page, then invalidate the caches and thus the clients would pick up the new information on the run. This helps to configure the correct value to stay within API limits and get enough jobs done.
Once a min (1,440 times/day), I'm reading a Gmail mailbox from an Azure Logic App. After 2 days, it consistently returns 429-Too many requests. The quota threshold is 20,000/day. It has not run successfully since.
You might be running into the threshold for Concurrent Requests of gmail due to the parallel actions of Logic Apps. This will also return the 429 error.
What are you exactly doing in the logic app?
Based from this documentation, the Gmail API enforces the standard daily mail sending limits.
These limits are per-user and are shared by all of the user's clients, whether API clients, native/web clients or SMTP MSA. If these limits are exceeded a HTTP 429 Too Many Requests "User-rate limit exceeded" error mentioning "(Mail sending)" is returned with a time to retry. Note that daily limits being exceeded may result in these types of errors for multiple hours before the request is accepted, so your client may retry the request with standard exponential backoff.
These per-user limits cannot be increased for any reason.
The mail sending pipeline is complex: once the the user exceeds their quota, there can be a delay of several minutes before the API begins to return 429 error responses. So you cannot assume that a 200 response means the email was successfully sent.
You may try considering exponential backoff. Here's also an additional link which might help: Gmail API error 429 rateLimitExceeded even where is no any activity
I have an application with webix on UI and node js on server side.
From the UI if I trigger a long running AJAX request for e.g. process 1000 records, the request errors out after 1.5 mins (not consistently) approximately.
The error object contains no information about the reason for request failure but since processing smaller set of records seems to work fine I am thinking of blaming it on timeout.
From the developer console I see that request seems to be Stalled and response is empty.
Currently I cant drop a request and keep polling it after every few seconds to see if the processing has been finished. I have to wait for the request to finish but I am not sure how to do it as webix forum doesn't seem to have any information on this except for setting timeout.
If setting timeout is the way to go then what would happen tomorrow if the request size goes to 2000 records - I don't want to keep on increasing the timeout
Also, if I am left with no choice how would I implement the polling. If I drop a request on to server there can be other clients as well who are triggering a similar request. How would I distinguish between requests originated from different clients?
I would really appreciate some help on this.
I am performing a simple "page = requests.get()" with a loop to extract results from a website. After 100-150 requests, it starts returning an error 500.
I've tried two things: put a second delay between my requests (to reduce the risk that I'm causing a DOS), and I'm deleting my page variable in case the connection is being stored in memory and the server is running out of ports. However, documentation seems to say that request.get does not store active connections.
What else could it be? Why does the script stop working after a few 100 requests?
The Error Code 500 means that the server has a problem handling your request. The reason for this is difficult to say if you don't control the server, but some kind of rate limiting might be the cause for this.
As per the HTTP Specifications:
6.6.1. 500 Internal Server Error
The 500 (Internal Server Error) status code indicates that the
server encountered an unexpected condition that prevented it from
fulfilling the request.
It's probably not a problem of your code, but some kind of rate limiting, resource shortage or other problem on the server side.
In a perfect world the Webserver would return the HTTP Code 429 in case of rate limiting.