I want to build my ecchi empire on Tiktok. My usage is for E-com Digital Marketing, for now.
I got annoyed that ChatGPT gives me errors, I just want to make an aesthetic empire, Baka! ////
So I narrowed down to pick the latest error codes and some case studies.
Here is the list.
Open AI Staff handle IDs
Feburary
Extracted from:
https://community.openai.com/search?q=error code
It's my day 1 to check so later on I will separate the Case Studies and Timeline.
Those will go technical chats of developers more so here BHW the reader will change I guess.
So once I gather more info, I go separate this list into 3 parts:
1 Errors & Solutions list / 2 Case Studies & Timeline list / 3 Marketing Ideas list (after I listed up the errors part / case studies part)
Anyway my main thread is "My experiment with Tiktok FYP algorithms" and you can visit me to get more info by your interests
Or encourage me to finish my experiment on Tiktok then move next, step forward to go next social media or auto blogging or some passive income idea! 

Well yeah, I'd like to have some helps for my main thread, by good Tech guys
Then once I started building my ecchi empire on Tiktok & TO CONQUER other social media and media algorithms, I would like to have a decent dev team too!

I will update tomorrow here.
Didn't take so much time to check, just surface but yeah, kinda get it how it works and how it is like.
Anyway, I have 80% left to extract information off from there so see ya guys tomorrow!
I got annoyed that ChatGPT gives me errors, I just want to make an aesthetic empire, Baka! ////
So I narrowed down to pick the latest error codes and some case studies.
Here is the list.
- Timeline
- Jan 27 2023
- Developer Advocate (OpenAI Staff)
- just shipped a new guide in the docs on what all the different error codes you might get are along with how to handle them, check it out and please send feedback if you have any: OpenAI API
- Jan 28 2023
- Developer Advocate (OpenAI Staff)
- we have updated the model parameter 42 to make it clear that the edits API only works with text-davinci-edit-001 or the code-davinci-edit-001 model.
- Feb 5 2023
- OpenAI Staff for case study B
- Sorry you’re experiencing this! This sounds more like a client-specific or environment-specific error considering it works on your local machine, and I think this particular help article is more about error codes returned by the backend API itself. Can you open an issue in the openai-node repository 5? I agree with Paul it would be helpful to see a full stack trace.
- Feb 17 2023
- Developer Advocate (OpenAI Staff)
- We also now have a specific tutorial on doing this with files: openai-cookbook/apps/file-q-and-a at main · openai/openai-cookbook · GitHub
- General Understanding
- All network based services can have delays, errors, congestion, degraded performance etc.
When writing an application using an API, you should always trap errors by parsing the response from the API and taking action based on any error message.
In the case of these “server busy-ish” types of error messages, you can trap this error, back off a number of randomly generated seconds, and retransmit your request,
You can then have a default custom error message after some configurable number or retry attempts or time, or both.
You can also automatically send email to OpenAI support when this happens, with details so they will know you are having issues - GPT-3.5 series is a series of models that was trained on a blend of text and code from before Q4 2021. The following models are in the GPT-3.5 series:
code-davinci-002 is a base model, so good for pure code-completion tasks
text-davinci-002 is an InstructGPT model based on code-davinci-002
text-davinci-003 is an improvement on text-davinci-002 - 400 range - This class of status code is intended for situations in which the error seems to have been caused by the client.
500 range - Response status codes beginning with the digit “5” indicate cases in which the server is aware that it has encountered an error or is otherwise incapable of performing the request - The embeddings vs fine tuning is a great question, I think we should update the docs to give better guidance on this, I will add it to the queue but there’s a lot of other things that need to be updated before that so hang tight. (OpenAI Staff)
- All network based services can have delays, errors, congestion, degraded performance etc.
- Error 429
- Error: status code 429, Too Many Requests / 429 Too Many Requests
- 429 - The engine is currently overloaded. Please try again later.
- The 429 status code indicates that the user has sent too many requests in a given amount of time (“rate limiting”).
- Error message indicates it’s a server-side issue / 429 Error code is from Cloudflare, not the back end server
- The OpenAI is not describing a user error but instead calling out the server (as the “engine”) as the cause of the error. And rather than admonishing the user for making to many request, it suggests they try again later as if they have done nothing wrong.
{ "message": "The server had an error while processing your request. Sorry about that!", "type": "server_error" }
- Case studies
- System that I implemented is to summarize a text and then get keywords from the response. I am using model text-davinci-003. Maybe this model is overloaded right now but from last 2 days it was working fine.. now it’s giving me this error 429
- I’m way, way off the rate limit, and yet still experiencing problems. I occasionally get 500s, too, but recently 429s have been way more problematic, along with incredibly slow response times (some over 60s).
- I have the same issue, getting sporadically getting 429s since a few days. Seems to be getting more frequent too. Usage limit is fine, and I didn’t change the length or frequency of my requests. Happened during a demo for a VC … not ideal.
- Regarding trapping the error Ruby, I am doing this now. I call the API… and if I get a 500 or 429… call it again in a few seconds. That being said. it slows down the user experience to have to wait through multiple GPT API fails. Sometimes I get it failing three or four times in a row. That’s a long time for the users to sit there and twiddle their thumbs. I am worried that the team at Openai is not doing proper testing to allow maybe one fifth of all of their API calls to fail with 429 or 500.
- Error 403
- Case studies
- wrote a simple C# code to read chatAPI, got 403 error. Try to write a C# code to access https://api.openai.com/v1/engines/davinci/jobs2, but get 403 error. How do I know if my API key is legit?
- The endpoint is wrong. Your key is probably right. Look in the documentation for the completion endpoint instead
- Then it should be text-davinci-003? This is the code that ChatGPT gave me, I got 400 error, do I need use NET 4.8?
static void Main(string args) { string input = “Hello, how are you”; string apiKey = “MY key”; var client = new HttpClient(); client.DefaultRequestHeaders.Add("Authorization", $"Bearer {apiKey}"); var content = new StringContent("{\"prompt\": \"" + input + "\", \"model\": \"text-davinci-003\", \"max_tokens\":100,\"temperature\":0.5}", Encoding.UTF8, "application/json"); var response = client.PostAsync("https://api.openai.com/v1/engines/davinci/jobs", content).Result; var responseString = response.Content.ReadAsStringAsync().Result; dynamic responseJson = JsonConvert.DeserializeObject(responseString); string completion = responseJson.choices[0].text; Console.WriteLine("Completion: " + completion); }- Don’t use ChatGPT as it can get it wrong. The right docs are here. / it said, Chatgpt has lied to you. You have no choice but to read the online docs. Your API key and the model name is NOT the issue right now
- I finally got it, this is working code:
var client = new HttpClient(); client.DefaultRequestHeaders.Add(“Authorization”, $“Bearer {apiKey}”); { var content = new StringContent("{\"model\": \"text-davinci-003\", \"prompt\": \"Say this is a test\", \"temperature\": 0, \"max_tokens\":7}", Encoding.UTF8, "application/json"); var response = client.PostAsync("https://api.openai.com/v1/completions", content).Result; var responseString = response.Content.ReadAsStringAsync().Result; dynamic responseJson = JsonConvert.DeserializeObject(responseString); string completion = responseJson.choices[0].text; Console.WriteLine("Completion: " + completion); }
- wrote a simple C# code to read chatAPI, got 403 error. Try to write a C# code to access https://api.openai.com/v1/engines/davinci/jobs2, but get 403 error. How do I know if my API key is legit?
- Case studies
- Error 502
- I’m using the model: ‘text-davinci-003’ in a nextJS typescript project and it works perfect from localhost:3000 but when I deploy to github and Netlify deploys the site, I get this error:
react_devtools_backend.js:4012 Error: Request failed with status 502 - I checked devtools and I have “Break on warning” disabled. read in another forum that maybe application/JSON get’s converted to text/html on build and this could produce the error online but I haven’t been able to solve it
- seen one other Netlify GPT project, I think. Can you add “console.error,” so we can get more information? Was it a one-time thing or does it happen multiple times? Always the same prompt?
- I made sure it returned JSON with accept in header So that works but still I get the error when online. It happens on every call, it’s like the API is rejecting my post.
- .fulll stack tree . . . You can test the site here: https://blockdefi.netlify.app . .- left menu (You don’t need to connect to use the OpenAI
- Could it be an authentication issue? . . . I found that my APP_DOMAIN needs to be set to=domain.app while NEXTAUTH_URL must be= https://domain.app . . . Further more . . . Is it path specific in some way?
- As if request comes from domain.app/api/auth/script.ts but somewhere is set simply the domain? . . . I don’t know . . . I’m reaching . . . . I’ve been struggling with this issue for 2 weeks for an exam project and I feel I’ve tried everything
- I’m using the model: ‘text-davinci-003’ in a nextJS typescript project and it works perfect from localhost:3000 but when I deploy to github and Netlify deploys the site, I get this error:
- Error 524
- error- Failed to load resource: the server responded with a status of 524 ()
- Error 1020
- Access denied You do not have access to chat.openai.com. The site owner may have set restrictions that prevent you from accessing the site.
- Sample)
Error code: 1020
Ray ID: 78df220cbcd16a54
Country: AU
Data center: syd01
IP: 3.106.60.147 - error code 1020 might occur on ChatGPT due to incorrect login credentials. Apart from that, corrupted cookies, network problems, and DNS server inconsistency can be the causes of this error code. Now, if you are experiencing the error 1020 when using ChatGPT, try rebooting your computer first. If that doesn’t help, you can use the following solutions to fix this error:
- Sample)
- Access denied You do not have access to chat.openai.com. The site owner may have set restrictions that prevent you from accessing the site.
- Error: You exceeded your current OpenAI API quota
- getting “You exceeded your current OpenAI API quota, please check your OpenAI plan and billing details.” trying to use ChatGPT via Zapier
- OpenAI Staff) You are getting this issue because you are on a free trial account. You need to add a payment method to proceed with more API calls
- getting “You exceeded your current OpenAI API quota, please check your OpenAI plan and billing details.” trying to use ChatGPT via Zapier
- Error: read_any_format validator
- I am trying to finetune the model but everytime gets ERROR in read_any_format validator: Your file data.json does not appear to be in valid JSON format. Please ensure your file is formatted as a valid JSON file.. I have checked the file it is in valid format. Get does not appear to be in valid JSON format. Please ensure your file is formatted as a valid JSON file. every time
- I’m getting the same error. I validated the JSON file using https://jsonlint.com/ 1 and https://codebeautify.org/jsonvalidator.
See below a sample from the dataset:[{ “prompt”: “1AOFJE36”, “completion”: “Can assist firms in organizational challenges” }, { “prompt”: “1AOFJE35”, “completion”: “Offers assistance to growing companies with their sales” }, { “prompt”: “1AOFJE34”, “completion”: “Specializes in supporting start-ups with their communication and public relations strategy” }]- Your data is not in JSONL format.
Please check the JSONL formatting specs and try again. https://manifold.net/doc/mfd9/jsonl.htm
- I’m getting the same error. I validated the JSON file using https://jsonlint.com/ 1 and https://codebeautify.org/jsonvalidator.
- I am trying to finetune the model but everytime gets ERROR in read_any_format validator: Your file data.json does not appear to be in valid JSON format. Please ensure your file is formatted as a valid JSON file.. I have checked the file it is in valid format. Get does not appear to be in valid JSON format. Please ensure your file is formatted as a valid JSON file. every time
- Error: ChatGPT Plus
- serious bug that is related to a limitation
- I have conducted numerous tests with the free version and now with the PLUS version there is a pretty serious bug that is related to a limitation. When the chat responds, for example, to a query about CODE, it always stops at some point and gets stuck. We are not talking about many lines of code, we are talking about something small of 50 or 60 lines. It always stops, and even though it indicates that it should continue, it never does so, neither where it left off nor in the context it was in. This makes its use frustrating. I thought that this would change in the paid version, but it is the same. I have proved that it is capable of responding wonderfully to code queries, but this BUG is causing me and other coders to hesitate to continue using it in the future, even for payment."
- Others with a similar issue in the past have reported (here in this community) that replying with the prompt “continue” solves this problem. You might give it a try and see if that approach works for you.
- I have been conducting several hours of testing for weeks now, and the most frustrating thing is that sometimes it works perfectly fine by continuing where it left off or by picking up the response from where it stopped. However, more than 70% of the time, it gives the same response or simply picks up a thread from wherever it feels like. For text, it may be easy to pick up a thread, but for code, it is terrible! Everything must follow a certain syntax order, and honestly, after conducting thousands of tests, when it works well, I feel that it is the best tool that could have been given to coders. However, when errors occur consistently, I feel like we are being deceived by paying for something that works so poorly.
- I have noticed this too. Specially in busy time, it does that.
The way to get around of this, is to prompt “continue” if its last message was cut in the middle. With “continue” it continues from where it left. - Usually, it does not return to where it left off, instead, it goes to a different context or answers things that do not make sense. For instance, I was resolving a class in C# but it picked up Python code. However, I have witnessed that sometimes it does not generate such conflict and it is a wonderful tool. But, I feel that this error could be present in the trial version, and it is frustrating that we are not allowed to use it to its full extent in the paid version, especially with this dramatic error
- 2I’ve been testing the “continue” theme for 4 days now and the thing goes like this: it doesn’t always answer where it left off, sometimes it puts the whole code back in, other times it will answer in another context which is terribly frustrating for a coder, other times it just goes wonderful, it’s something that bothers me, it’s a wonderful tool but these 3 bugs ruin it completely
- You should use ChatGPT to help with code by breaking your code requirements into small functional code blocks or methods. In this way, you will not require ChatGPT to try to complete long blocks of code (which increases the chances of errors anyway) and it is also a basic good coding practice to have modular code with many functions and methods and short code blocks. This approach is much easier to debug as well. In other words, the “secret sauce” of coding is short, well-defined, reusable code blocks, methods, functions and modules. This is how I code, and I never have any problems with ChatGPT “running out of steam” when I prompt ChatGPT to write a method for me.
- I have noticed this too. Specially in busy time, it does that.
- I have conducted numerous tests with the free version and now with the PLUS version there is a pretty serious bug that is related to a limitation. When the chat responds, for example, to a query about CODE, it always stops at some point and gets stuck. We are not talking about many lines of code, we are talking about something small of 50 or 60 lines. It always stops, and even though it indicates that it should continue, it never does so, neither where it left off nor in the context it was in. This makes its use frustrating. I thought that this would change in the paid version, but it is the same. I have proved that it is capable of responding wonderfully to code queries, but this BUG is causing me and other coders to hesitate to continue using it in the future, even for payment."
- serious bug that is related to a limitation
- Error: Timeout error
- My Article writer tool started showing Timeout error since last 2-3 days. Earlier it was generating awesome results on davinci-003. Any resolution to this apart from moving back to davinci-002? Other tools working fine on davinci-003 however, being generating a longer output, the Article writer tool is experiencing Timeout.
- There’s infrequent periods of interruption, I’ve noticed.
- Having the same issue since yesterday. Using davinci-003 with { max_token : 1000 }
- My Article writer tool started showing Timeout error since last 2-3 days. Earlier it was generating awesome results on davinci-003. Any resolution to this apart from moving back to davinci-002? Other tools working fine on davinci-003 however, being generating a longer output, the Article writer tool is experiencing Timeout.
- Other Case Studies
- Is Edit endpoint Documentation incorrect?
- I realized that only some models are allowed to use with “Edit API”. Neither documentation nor error response doesn’t include information about this limitation. “Invalid URL (POST /v1/edits)” error disappeared after I started to use “text-davinci-edit-001” model. The error message was misleading. I think it should be more clear which models are good to use (or I couldn’t read the documentation properly, please help me find where it is
- I don’t use edit endpoint a lot at this time. With that said, the documentation does lag behind sometimes because OpenAI is moving as such a quick speed (even with all the safeguards they have in place). I know we just had someone using the wrong answers endpoint
- I get the below response whenever I want to use the endpoint.
{ "error": { "message": "Invalid URL (POST /v1/edits)", "type": "invalid_request_error", "param": null, "code": null } } - make it shorter
404 { error: { message: 'Invalid URL (POST /v1/edits)'. type: 'invalid_request_error' , param: null, code: null }- Open AI Developer) thanks for calling this out and being patient, we have updated the model parameter 42 to make it clear that the edits API only works with text-davinci-edit-001 or the code-davinci-edit-001 model.
- I’ve specified the model as text-davinci-edit-001 but i’m still getting the { “error”: { “message”: “Invalid URL (POST /v1/edits)”, “type”: “invalid_request_error”, “param”: null, “code”: null
- I realized that only some models are allowed to use with “Edit API”. Neither documentation nor error response doesn’t include information about this limitation. “Invalid URL (POST /v1/edits)” error disappeared after I started to use “text-davinci-edit-001” model. The error message was misleading. I think it should be more clear which models are good to use (or I couldn’t read the documentation properly, please help me find where it is
- Is Edit endpoint Documentation incorrect?
Open AI Staff handle IDs
Feburary
- logankilpatrick
- dschnurr
- hallacy
- luke
Extracted from:
https://community.openai.com/search?q=error code
It's my day 1 to check so later on I will separate the Case Studies and Timeline.
Those will go technical chats of developers more so here BHW the reader will change I guess.
So once I gather more info, I go separate this list into 3 parts:
1 Errors & Solutions list / 2 Case Studies & Timeline list / 3 Marketing Ideas list (after I listed up the errors part / case studies part)
Anyway my main thread is "My experiment with Tiktok FYP algorithms" and you can visit me to get more info by your interests
Well yeah, I'd like to have some helps for my main thread, by good Tech guys
Then once I started building my ecchi empire on Tiktok & TO CONQUER other social media and media algorithms, I would like to have a decent dev team too!
I will update tomorrow here.
Didn't take so much time to check, just surface but yeah, kinda get it how it works and how it is like.
Anyway, I have 80% left to extract information off from there so see ya guys tomorrow!