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567,647 | [
"api"
] | How do i make payement for api from Nigeria. My card is constantly been declined | "2023-12-21T13:20:31.548000Z" | 7 | 178 | 0 | 0 | 3 | 66 | 766,721 | 2023-12-21T13:20:31.612Z | <p>How do i make payement for api from Nigeria. My card is constantly been declined.</p>
<p>Are there other payment option?</p> | 19 | 0 | c56c076a05 | 1 | [
605928,
118262,
166801,
472501,
44666
] | null | How do i make payement for api from Nigeria. My card is constantly been declined.
Are there other payment option?
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] | api | null | null | null | https://community.openai.com/t/567647 | https://community.openai.com/p/766721 | Payment Issues | Payment (4) |
567,647 | [
"api"
] | How do i make payement for api from Nigeria. My card is constantly been declined | "2023-12-21T13:20:31.548000Z" | 7 | 178 | 0 | 0 | 3 | 66 | 893,712 | 2024-02-26T07:21:34.329Z | <p>I’m still encountering same issue here in Nigeria, did you solve the problem? What was your solution?</p> | 8 | 0 | 0a9d9d0689 | 2 | [
605928,
118262,
166801,
472501,
44666
] | null | I’m still encountering same issue here in Nigeria, did you solve the problem? What was your solution?
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] | api | null | null | null | https://community.openai.com/t/567647 | https://community.openai.com/p/893712 | Issue-Solving | API (2) |
567,647 | [
"api"
] | How do i make payement for api from Nigeria. My card is constantly been declined | "2023-12-21T13:20:31.548000Z" | 7 | 178 | 0 | 0 | 3 | 66 | 894,237 | 2024-02-26T12:29:41.737Z | <p>Pretty sure OpenAI uses Stripe for payment processing… are you having problem with OpenAI payments specifically, or does your card work for other online services / websites using Stripe?</p> | 6 | 0 | 61a07ddeaf | 3 | [
605928,
118262,
166801,
472501,
44666
] | null | Pretty sure OpenAI uses Stripe for payment processing… are you having problem with OpenAI payments specifically, or does your card work for other online services / websites using Stripe?
| api | neutral | 0.884747 | [
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] | api | null | null | null | https://community.openai.com/t/567647 | https://community.openai.com/p/894237 | Payment (3) | Miscellaneous (27) |
654,863 | [
"chatgpt",
"rag"
] | What is the best way to chunk a PDF file for RAG in a smart way that preserves the meaning during retrieval? | "2024-02-26T08:54:14.450000Z" | 7 | 111 | 0 | 0 | 2 | 99 | 893,862 | 2024-02-26T08:54:14.517Z | <ul>
<li>I used Llama-Index for my RAG task and found that I can chunk my text using sentences, paragraphs, and nodes. However, I noticed that chunking sentences doesn’t save the meaning for the retrieval process, and chunking paragraphs might result in very large chunks of text. I am planning to try chunking sentences with overlapping, but I am not sure if this is the best approach. Is there a smarter way to chunk my PDF based on the meaning of the text?</li>
</ul> | 24 | 0 | ca9e5c1207 | 1 | [
380369,
275006,
468036,
462643,
489334
] | null | * I used Llama-Index for my RAG task and found that I can chunk my text using sentences, paragraphs, and nodes. However, I noticed that chunking sentences doesn’t save the meaning for the retrieval process, and chunking paragraphs might result in very large chunks of text. I am planning to try chunking sentences with overlapping, but I am not sure if this is the best approach. Is there a smarter way to chunk my PDF based on the meaning of the text?
| api | neutral | 0.653163 | [
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] | chatgpt | rag | null | null | https://community.openai.com/t/654863 | https://community.openai.com/p/893862 | Embeddings | Embeddings (6) |
654,863 | [
"chatgpt",
"rag"
] | What is the best way to chunk a PDF file for RAG in a smart way that preserves the meaning during retrieval? | "2024-02-26T08:54:14.450000Z" | 7 | 111 | 0 | 0 | 2 | 99 | 894,226 | 2024-02-26T12:22:05.297Z | <p>This is the methodology I’ve used with some success: <a href="https://youtu.be/w_veb816Asg?si=bVUs297eLSkNXY6X" rel="noopener nofollow ugc">https://youtu.be/w_veb816Asg?si=bVUs297eLSkNXY6X</a></p> | 15 | 0 | 9716394c2d | 2 | [
380369,
275006,
468036,
462643,
489334
] | null | This is the methodology I’ve used with some success: <https://youtu.be/w_veb816Asg?si=bVUs297eLSkNXY6X>
| api | positive | 0.66744 | [
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] | chatgpt | rag | null | null | https://community.openai.com/t/654863 | https://community.openai.com/p/894226 | Advice | Emoji (8) |
655,089 | [
"embeddings"
] | Organisation structuring and creation | "2024-02-26T11:24:49.043000Z" | 7 | 52 | 0 | 0 | 1 | 94 | 894,114 | 2024-02-26T11:24:49.135Z | <p>Hi folks, we are trying to utilise OpenAI’s API to generate embeddings for text and image for analytics. I want to have multiple organisations to manage billing and resource access for development, testing, onsite pocs and etc teams.<br>
I have the admin account, I want to create another organisation with the same account so, managing it would be easier.<br>
But I read from the docs that we need to create another OpenAi developer account to create another org. Managing multiple accounts with different creds is cumbersome. Is there a way to mitigate this?</p> | 11 | 0 | 616a29128a | 1 | [
81872,
46108,
606687,
259937,
623888
] | null | Hi folks, we are trying to utilise OpenAI’s API to generate embeddings for text and image for analytics. I want to have multiple organisations to manage billing and resource access for development, testing, onsite pocs and etc teams.
I have the admin account, I want to create another organisation with the same account so, managing it would be easier.
But I read from the docs that we need to create another OpenAi developer account to create another org. Managing multiple accounts with different creds is cumbersome. Is there a way to mitigate this?
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] | embeddings | null | null | null | https://community.openai.com/t/655089 | https://community.openai.com/p/894114 | PHP Libraries | Miscellaneous (27) |
655,010 | [] | Retrieval tool rules for an Assistant | "2024-02-26T10:29:14.477000Z" | 31 | 48 | 0 | 0 | 1 | 167 | 894,025 | 2024-02-26T10:29:14.574Z | <p>I am a bit confused about the rules around the retrieval files.</p>
<p>You can associate file ids with an Assistant when the purpose is ‘assistant’. However, I can’t find out how to assign a file to the <em>interpreter tool</em> or the <em>retrieval tool</em>? I think it is impossible to keep those separate? The examples in the documentation use the same means to associate a file for both tools. What happens if you activate both tools with two files?</p>
<p>You can enable ‘retrieval’ on on the Assistant level and you can enable/disable it on the Run level, as well as that you can add files on both levels. How do those interact? Is it disabled when you do not add the ‘retrieval’ on the Run level? Does it still work when it is disabled on the Assistant level but enabled on the Run level?</p>
<p>What are the chunking rules in general?</p>
<p>Where can I see what the Assistant did? Which chunks did it find and apply?</p> | 9 | 0 | 704f0f8d1c | 1 | [
534208,
578632,
519650,
530556,
496134
] | null | I am a bit confused about the rules around the retrieval files.
You can associate file ids with an Assistant when the purpose is ‘assistant’. However, I can’t find out how to assign a file to the *interpreter tool* or the *retrieval tool*? I think it is impossible to keep those separate? The examples in the documentation use the same means to associate a file for both tools. What happens if you activate both tools with two files?
You can enable ‘retrieval’ on on the Assistant level and you can enable/disable it on the Run level, as well as that you can add files on both levels. How do those interact? Is it disabled when you do not add the ‘retrieval’ on the Run level? Does it still work when it is disabled on the Assistant level but enabled on the Run level?
What are the chunking rules in general?
Where can I see what the Assistant did? Which chunks did it find and apply?
| api/feedback | neutral | 0.521359 | [
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] | null | null | null | null | https://community.openai.com/t/655010 | https://community.openai.com/p/894025 | File Management (3) | Embeddings (6) |
492,318 | [
"gpt-4",
"gpt-4-vision",
"token",
"gpt4-vision"
] | How do I calculate image tokens in GPT4 Vision? | "2023-11-10T10:06:05.250000Z" | 7 | 4,422 | 1 | 7 | 4 | 256 | 657,801 | 2023-11-10T10:06:05.320Z | <p>Hi, how do I count how many number of tokens does the each image has when using gpt-4-vision-preview model?</p> | 111 | 0 | 9dbb165e58 | 1 | [
589886,
619971,
593310,
499670,
107117
] | null | Hi, how do I count how many number of tokens does the each image has when using gpt-4-vision-preview model?
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] | gpt-4 | gpt-4-vision | token | gpt4-vision | https://community.openai.com/t/492318 | https://community.openai.com/p/657801 | GPT Model | Tokenization (2) |
492,318 | [
"gpt-4",
"gpt-4-vision",
"token",
"gpt4-vision"
] | How do I calculate image tokens in GPT4 Vision? | "2023-11-10T10:06:05.250000Z" | 7 | 4,422 | 1 | 7 | 4 | 256 | 658,188 | 2023-11-10T12:29:41.257Z | <p>According to the <a href="https://openai.com/pricing" rel="noopener nofollow ugc">pricing page</a>, every image is first globally described by <strong>85</strong> base tokens.</p>
<h2><a name="tiles-1" class="anchor" href="#tiles-1"></a>Tiles</h2>
<p>To be fully recognized, an image is covered by 512x512 tiles.<br>
Each tile provides <strong>170</strong> tokens. So, by default, the formula is the following:<br>
total tokens = <strong>85 + 170 * n</strong>, where n = the number of tiles needed to cover your image.</p>
<h2><a name="implementation-2" class="anchor" href="#implementation-2"></a>Implementation</h2>
<p>This can be easily computed this way:</p>
<pre><code class="lang-python">from math import ceil
def count_image_tokens(width: int, height: int):
h = ceil(height / 512)
w = ceil(width / 512)
n = w * h
total = 85 + 170 * n
return total
</code></pre>
<p>or in one line if you prefer:</p>
<pre><code class="lang-python">count_total_tokens = lambda w, h: 85 + 170 * ceil(w / 512) * ceil(h / 512)
</code></pre>
<h2><a name="some-examples-3" class="anchor" href="#some-examples-3"></a>Some examples</h2>
<ul>
<li>500x500 → 1 tile is enough to cover this up, so total tokens = 85+170 = 255</li>
<li>513x500 → you need 2 tiles → total tokens = 85+170*2 = 425</li>
<li>513x513 → you need 4 tiles → total tokens = 85+170*2 = 765</li>
</ul>
<h2><a name="low_resolution-mode-4" class="anchor" href="#low_resolution-mode-4"></a><code>low_resolution</code> mode</h2>
<p>In <em>“low resolution”</em> mode, there is no tile; only the <strong>85</strong> base tokens remain, no matter the size of your image.</p> | 112 | 0 | 66d714cbcd | 2 | [
589886,
619971,
593310,
499670,
107117
] | null | According to the [pricing page](https://openai.com/pricing), every image is first globally described by **85** base tokens.
Tiles
-----
To be fully recognized, an image is covered by 512x512 tiles.
Each tile provides **170** tokens. So, by default, the formula is the following:
total tokens = **85 + 170 \* n**, where n = the number of tiles needed to cover your image.
Implementation
--------------
This can be easily computed this way:
```
from math import ceil
def count_image_tokens(width: int, height: int):
h = ceil(height / 512)
w = ceil(width / 512)
n = w * h
total = 85 + 170 * n
return total
```
or in one line if you prefer:
```
count_total_tokens = lambda w, h: 85 + 170 * ceil(w / 512) * ceil(h / 512)
```
Some examples
-------------
* 500x500 → 1 tile is enough to cover this up, so total tokens = 85+170 = 255
* 513x500 → you need 2 tiles → total tokens = 85+170\*2 = 425
* 513x513 → you need 4 tiles → total tokens = 85+170\*2 = 765
`low_resolution` mode
---------------------
In *“low resolution”* mode, there is no tile; only the **85** base tokens remain, no matter the size of your image.
| api | neutral | 0.917696 | [
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] | gpt-4 | gpt-4-vision | token | gpt4-vision | https://community.openai.com/t/492318 | https://community.openai.com/p/658188 | Tokenization | Tokenization (2) |
492,318 | [
"gpt-4",
"gpt-4-vision",
"token",
"gpt4-vision"
] | How do I calculate image tokens in GPT4 Vision? | "2023-11-10T10:06:05.250000Z" | 7 | 4,422 | 1 | 7 | 4 | 256 | 801,733 | 2024-01-16T21:57:01.142Z | <p>This makes sense to me, except when you use the calculator it seems to be resizing images.</p>
<p>Like what is going on here in a 2048x2048 image:<br>
<div class="lightbox-wrapper"><a class="lightbox" href="https://global.discourse-cdn.com/openai1/original/4X/a/b/a/aba2017640c4c53f844d8a97b2d5129904afa808.png" data-download-href="/uploads/short-url/oukK4p1smh5lNKK5FuLesiRdoBa.png?dl=1" title="image" rel="noopener nofollow ugc"><img src="https://global.discourse-cdn.com/openai1/original/4X/a/b/a/aba2017640c4c53f844d8a97b2d5129904afa808.png" alt="image" data-base62-sha1="oukK4p1smh5lNKK5FuLesiRdoBa" width="690" height="485" data-dominant-color="F8F8F8"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">image</span><span class="informations">945×665 17 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p>
<p>Why is it resizing, and why is this 4 tiles and not 16 tiles?</p> | 41 | 1 | 6ac4187755 | 3 | [
589886,
619971,
593310,
499670,
107117
] | null | This makes sense to me, except when you use the calculator it seems to be resizing images.
Like what is going on here in a 2048x2048 image:
[![image](https://global.discourse-cdn.com/openai1/original/4X/a/b/a/aba2017640c4c53f844d8a97b2d5129904afa808.png)image945×665 17 KB](https://global.discourse-cdn.com/openai1/original/4X/a/b/a/aba2017640c4c53f844d8a97b2d5129904afa808.png "image")
Why is it resizing, and why is this 4 tiles and not 16 tiles?
| api | neutral | 0.786723 | [
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] | gpt-4 | gpt-4-vision | token | gpt4-vision | https://community.openai.com/t/492318 | https://community.openai.com/p/801733 | Image Processing (2) | Artificial Intelligence |
492,318 | [
"gpt-4",
"gpt-4-vision",
"token",
"gpt4-vision"
] | How do I calculate image tokens in GPT4 Vision? | "2023-11-10T10:06:05.250000Z" | 7 | 4,422 | 1 | 7 | 4 | 256 | 894,100 | 2024-02-26T11:18:44.231Z | <p>See: <a href="https://platform.openai.com/docs/guides/vision/calculating-costs" rel="noopener nofollow ugc">https://platform.openai.com/docs/guides/vision/calculating-costs</a></p> | 6 | 0 | 49b23f0652 | 4 | [
589886,
619971,
593310,
499670,
107117
] | null | See: <https://platform.openai.com/docs/guides/vision/calculating-costs>
| api | neutral | 0.910102 | [
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] | gpt-4 | gpt-4-vision | token | gpt4-vision | https://community.openai.com/t/492318 | https://community.openai.com/p/894100 | Pricing | Payment (4) |
655,067 | [
"api",
"gpt-35-turbo",
"rate-limit"
] | Best Practices for Handling Rate Limits in OpenAI API Integration | "2024-02-26T11:14:19.608000Z" | 7 | 55 | 0 | 0 | 1 | 87 | 894,087 | 2024-02-26T11:14:19.675Z | <p>HI ,</p>
<p>As we continue to integrate OpenAI’s models into our production workflows, it becomes essential to discuss and determine the most effective strategies for managing rate limits, both at the token and request levels. This topic aims to explore the nuanced approaches to handling rate limits and dives into two primary considerations: managing rate limits through custom headers (utilizing information such as remaining requests and tokens) versus relying on OpenAI’s default retry mechanisms.</p>
<p>I’d love to hear some thoughts on this, any strategies</p>
<p>Cheers</p> | 7 | 0 | 60fa62d4c7 | 1 | [
7128,
495332,
306155,
655360,
132266
] | null | HI ,
As we continue to integrate OpenAI’s models into our production workflows, it becomes essential to discuss and determine the most effective strategies for managing rate limits, both at the token and request levels. This topic aims to explore the nuanced approaches to handling rate limits and dives into two primary considerations: managing rate limits through custom headers (utilizing information such as remaining requests and tokens) versus relying on OpenAI’s default retry mechanisms.
I’d love to hear some thoughts on this, any strategies
Cheers
| api | neutral | 0.571408 | [
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] | api | gpt-35-turbo | rate-limit | null | https://community.openai.com/t/655067 | https://community.openai.com/p/894087 | TPM, RPM, Ratelimit | Tokenization (2) |
619,341 | [
"assistants-api",
"assistants",
"function-calling",
"file-uploads"
] | Assistants API | Adding a file during run + submit_tool_outputs | "2024-02-08T18:28:28.836000Z" | 7 | 627 | 19 | 7 | 7 | 2,359 | 846,818 | 2024-02-08T18:28:28.913Z | <p>I have an Assistant with both function calling and Retrieval enabled. My custom function creates a file, but I can’t find a way to add it during a run when requires_action becomes the status. There is only an option to submit the function output. I’d have to wait till the run finishes and then add the file to the file_ids of the next message, but it is too late by then. Anyone find a workaround for this? Basically, need to make a file created during a function call available to the current run without waiting for it to finish.</p> | 61 | 0 | a6d3710aa4 | 1 | null | null | I have an Assistant with both function calling and Retrieval enabled. My custom function creates a file, but I can’t find a way to add it during a run when requires\_action becomes the status. There is only an option to submit the function output. I’d have to wait till the run finishes and then add the file to the file\_ids of the next message, but it is too late by then. Anyone find a workaround for this? Basically, need to make a file created during a function call available to the current run without waiting for it to finish.
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] | assistants-api | assistants | function-calling | file-uploads | https://community.openai.com/t/619341 | https://community.openai.com/p/846818 | Assistant Tools | Embeddings (6) |
619,341 | [
"assistants-api",
"assistants",
"function-calling",
"file-uploads"
] | Assistants API | Adding a file during run + submit_tool_outputs | "2024-02-08T18:28:28.836000Z" | 7 | 627 | 19 | 7 | 7 | 2,359 | 846,912 | 2024-02-08T19:33:40.820Z | <p>Not exactly sure if I am following what you are asking. Do you intend to submit the file created to the LLM to reason with? If you do, you should await on your function call, and then call submitToolOutput for the same run. That way, the LLM has the output of your function.</p> | 59 | 1 | 354733a17c | 2 | null | null | Not exactly sure if I am following what you are asking. Do you intend to submit the file created to the LLM to reason with? If you do, you should await on your function call, and then call submitToolOutput for the same run. That way, the LLM has the output of your function.
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] | assistants-api | assistants | function-calling | file-uploads | https://community.openai.com/t/619341 | https://community.openai.com/p/846912 | LLMs | Artificial Intelligence |
619,341 | [
"assistants-api",
"assistants",
"function-calling",
"file-uploads"
] | Assistants API | Adding a file during run + submit_tool_outputs | "2024-02-08T18:28:28.836000Z" | 7 | 627 | 19 | 7 | 7 | 2,359 | 846,977 | 2024-02-08T20:25:48.774Z | <p>At the moment this is not possible within the run. You could try to upload it to the assistant directly instead but I doubt that will work, as the file_ids prop of the run seems immutable (possibly because the file list goes somehow into the run-specific under-the-hood prompt instructions).</p>
<p>In your case, it seems you only would have 3 options (other than dropping the req:</p>
<ol>
<li>When you get to the point of creating a file, process the file data that you need and give it as tool output, upload the file for the next run</li>
<li>Instead, close the run you’re on, add a new message to the thread with the file, and create a new run</li>
<li>Replace their retrieval <code>myfiles_browser</code> (off) with your own retrieval and give it to the assistant as a tool (at this point might as wel replace the assistant API but in case you wanna keep it).</li>
</ol>
<p>Good luck!</p> | 55 | 1 | f4e88788fd | 3 | null | null | At the moment this is not possible within the run. You could try to upload it to the assistant directly instead but I doubt that will work, as the file\_ids prop of the run seems immutable (possibly because the file list goes somehow into the run-specific under-the-hood prompt instructions).
In your case, it seems you only would have 3 options (other than dropping the req:
1. When you get to the point of creating a file, process the file data that you need and give it as tool output, upload the file for the next run
2. Instead, close the run you’re on, add a new message to the thread with the file, and create a new run
3. Replace their retrieval `myfiles_browser` (off) with your own retrieval and give it to the assistant as a tool (at this point might as wel replace the assistant API but in case you wanna keep it).
Good luck!
| api | neutral | 0.5062 | [
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] | assistants-api | assistants | function-calling | file-uploads | https://community.openai.com/t/619341 | https://community.openai.com/p/846977 | File Assistant | API (2) |
619,341 | [
"assistants-api",
"assistants",
"function-calling",
"file-uploads"
] | Assistants API | Adding a file during run + submit_tool_outputs | "2024-02-08T18:28:28.836000Z" | 7 | 627 | 19 | 7 | 7 | 2,359 | 847,021 | 2024-02-08T21:06:15.760Z | <p>Yes, I intend to submit the file for the LLM to work with in the current run – not a new run after this one completes.</p>
<p>I am submitting the output, but submit_tool_outputs does not accept a file. I was initially converting the file to JSON and submitting that, but that limits me to the context limit of the underlying model and gets very expensive, as that output is now part of the thread for subsequent messages / runs. Submitting a file would solve both those issues.</p>
<p>Hope this helps explain the use-case better and open to any suggestions, thanks.</p> | 43 | 1 | a6d3710aa4 | 4 | null | null | Yes, I intend to submit the file for the LLM to work with in the current run – not a new run after this one completes.
I am submitting the output, but submit\_tool\_outputs does not accept a file. I was initially converting the file to JSON and submitting that, but that limits me to the context limit of the underlying model and gets very expensive, as that output is now part of the thread for subsequent messages / runs. Submitting a file would solve both those issues.
Hope this helps explain the use-case better and open to any suggestions, thanks.
| api | neutral | 0.814445 | [
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] | assistants-api | assistants | function-calling | file-uploads | https://community.openai.com/t/619341 | https://community.openai.com/p/847021 | File Management | Embeddings (6) |
619,341 | [
"assistants-api",
"assistants",
"function-calling",
"file-uploads"
] | Assistants API | Adding a file during run + submit_tool_outputs | "2024-02-08T18:28:28.836000Z" | 7 | 627 | 19 | 7 | 7 | 2,359 | 847,049 | 2024-02-08T21:15:51.395Z | <p>Really appreciate the ideas and out-of-the-box thinking! I don’t think the first option will work, as the JSON will then be a part of the thread and can make subsequent runs expensive if the JSON is large. But, I’m going to play around with the 2nd and 3rd options you recommended – I’ll let you know if I find anything promising.</p>
<p>I was also thinking about the modifyAssistant approach (since it has the option to change the “file_ids” value, which modifyMessage does not allow you to change at all), but interesting that it probably won’t work due to it being immutable. I wish there was a modifyFileContents endpoint – then, I could attach a File ID to the message, change its contents mid run during requires_action, and then the AI would have the same File ID just with updated content.</p> | 38 | 0 | a6d3710aa4 | 5 | null | null | Really appreciate the ideas and out-of-the-box thinking! I don’t think the first option will work, as the JSON will then be a part of the thread and can make subsequent runs expensive if the JSON is large. But, I’m going to play around with the 2nd and 3rd options you recommended – I’ll let you know if I find anything promising.
I was also thinking about the modifyAssistant approach (since it has the option to change the “file\_ids” value, which modifyMessage does not allow you to change at all), but interesting that it probably won’t work due to it being immutable. I wish there was a modifyFileContents endpoint – then, I could attach a File ID to the message, change its contents mid run during requires\_action, and then the AI would have the same File ID just with updated content.
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] | assistants-api | assistants | function-calling | file-uploads | https://community.openai.com/t/619341 | https://community.openai.com/p/847049 | JSON Format (2) | Embeddings (6) |
619,341 | [
"assistants-api",
"assistants",
"function-calling",
"file-uploads"
] | Assistants API | Adding a file during run + submit_tool_outputs | "2024-02-08T18:28:28.836000Z" | 7 | 627 | 19 | 7 | 7 | 2,359 | 847,199 | 2024-02-08T23:05:19.079Z | <p>Would something like this work? use 2 functions.</p>
<ul>
<li>Let your function stash the file somewhere and in the submitToolOutput, pass the location of the file as the output of your function.</li>
<li>Instruct the assistant to follow up on your first function with a 2nd function that takes the output of the first function as its param. Your 2nd function can then upload the file to openAI.</li>
</ul> | 35 | 1 | 354733a17c | 6 | null | null | Would something like this work? use 2 functions.
* Let your function stash the file somewhere and in the submitToolOutput, pass the location of the file as the output of your function.
* Instruct the assistant to follow up on your first function with a 2nd function that takes the output of the first function as its param. Your 2nd function can then upload the file to openAI.
| api | neutral | 0.887478 | [
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] | assistants-api | assistants | function-calling | file-uploads | https://community.openai.com/t/619341 | https://community.openai.com/p/847199 | PHP Libraries | Miscellaneous (27) |
619,341 | [
"assistants-api",
"assistants",
"function-calling",
"file-uploads"
] | Assistants API | Adding a file during run + submit_tool_outputs | "2024-02-08T18:28:28.836000Z" | 7 | 627 | 19 | 7 | 7 | 2,359 | 847,258 | 2024-02-09T00:16:46.584Z | <p>Got something better.</p>
<p><div class="lightbox-wrapper"><a class="lightbox" href="https://global.discourse-cdn.com/openai1/original/4X/f/2/6/f26386830aea0bbaefb2a7979d946f88b0bfc202.png" data-download-href="/uploads/short-url/yAgMmL2Co9G1yr9tz8gMurXoHSO.png?dl=1" title="image" rel="noopener nofollow ugc"><img src="https://global.discourse-cdn.com/openai1/original/4X/f/2/6/f26386830aea0bbaefb2a7979d946f88b0bfc202.png" alt="image" data-base62-sha1="yAgMmL2Co9G1yr9tz8gMurXoHSO" width="690" height="369" data-dominant-color="222222"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">image</span><span class="informations">1224×656 28 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div><br>
<div class="lightbox-wrapper"><a class="lightbox" href="https://global.discourse-cdn.com/openai1/original/4X/0/a/c/0ac1b92c400796d0d0550c1aa636240459e292c1.png" data-download-href="/uploads/short-url/1x9P9pg0N4obtIBhll2aJNauYNz.png?dl=1" title="image" rel="noopener nofollow ugc"><img src="https://global.discourse-cdn.com/openai1/original/4X/0/a/c/0ac1b92c400796d0d0550c1aa636240459e292c1.png" alt="image" data-base62-sha1="1x9P9pg0N4obtIBhll2aJNauYNz" width="690" height="414" data-dominant-color="222222"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">image</span><span class="informations">868×522 15.8 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div><br>
<div class="lightbox-wrapper"><a class="lightbox" href="https://global.discourse-cdn.com/openai1/original/4X/b/d/1/bd11e62f2b71c25843e22d26aaecb77eae67cc45.png" data-download-href="/uploads/short-url/qYAACA9W5qoZy3glW8Sibr6yopD.png?dl=1" title="image" rel="noopener nofollow ugc"><img src="https://global.discourse-cdn.com/openai1/original/4X/b/d/1/bd11e62f2b71c25843e22d26aaecb77eae67cc45.png" alt="image" data-base62-sha1="qYAACA9W5qoZy3glW8Sibr6yopD" width="689" height="471" data-dominant-color="232424"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">image</span><span class="informations">1106×756 38.9 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p>
<p>See it in action: <a href="https://community.openai.com/t/no-keyboard-discussion-with-assistant-api-and-ibrain-laughing-at-friends-code/619542">No keyboard discussion with Assistant API and iBrain laughing at friends code - Community - OpenAI Developer Forum</a></p> | 33 | 1 | cc134b91ae | 7 | null | null | Got something better.
[![image](https://global.discourse-cdn.com/openai1/original/4X/f/2/6/f26386830aea0bbaefb2a7979d946f88b0bfc202.png)image1224×656 28 KB](https://global.discourse-cdn.com/openai1/original/4X/f/2/6/f26386830aea0bbaefb2a7979d946f88b0bfc202.png "image")
[![image](https://global.discourse-cdn.com/openai1/original/4X/0/a/c/0ac1b92c400796d0d0550c1aa636240459e292c1.png)image868×522 15.8 KB](https://global.discourse-cdn.com/openai1/original/4X/0/a/c/0ac1b92c400796d0d0550c1aa636240459e292c1.png "image")
[![image](https://global.discourse-cdn.com/openai1/original/4X/b/d/1/bd11e62f2b71c25843e22d26aaecb77eae67cc45.png)image1106×756 38.9 KB](https://global.discourse-cdn.com/openai1/original/4X/b/d/1/bd11e62f2b71c25843e22d26aaecb77eae67cc45.png "image")
See it in action: [No keyboard discussion with Assistant API and iBrain laughing at friends code - Community - OpenAI Developer Forum](https://community.openai.com/t/no-keyboard-discussion-with-assistant-api-and-ibrain-laughing-at-friends-code/619542)
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] | assistants-api | assistants | function-calling | file-uploads | https://community.openai.com/t/619341 | https://community.openai.com/p/847258 | Image Optimization | Miscellaneous (27) |
619,341 | [
"assistants-api",
"assistants",
"function-calling",
"file-uploads"
] | Assistants API | Adding a file during run + submit_tool_outputs | "2024-02-08T18:28:28.836000Z" | 7 | 627 | 19 | 7 | 7 | 2,359 | 848,734 | 2024-02-09T21:29:07.435Z | <p>Appreciate the suggestion. Not sure if I’m missing something, but the issue isn’t about uploading the file during the run / submit_tool_outputs, as I am able to use client.files.create() to upload it to OpenAI. The core issue is adding it to the current run, as files (from what I’ve researched and tested) can only be attached at the Assistant-level or Message-level.</p>
<p>For the Message-level, I’d need to wait for the run to finish and then create a new message with the “file_ids” param, but that would be too late in the process.</p>
<p>For the Assistant-level, there is a modifyAssistant endpoint that I’m going to try to use during the run and see if I can modify the “file_ids” param to include the new file – as long as it’s not immutable once the run starts.</p>
<p>Let me know if I missed anything in your solution that would address this. Thanks.</p> | 28 | 0 | a6d3710aa4 | 8 | null | null | Appreciate the suggestion. Not sure if I’m missing something, but the issue isn’t about uploading the file during the run / submit\_tool\_outputs, as I am able to use client.files.create() to upload it to OpenAI. The core issue is adding it to the current run, as files (from what I’ve researched and tested) can only be attached at the Assistant-level or Message-level.
For the Message-level, I’d need to wait for the run to finish and then create a new message with the “file\_ids” param, but that would be too late in the process.
For the Assistant-level, there is a modifyAssistant endpoint that I’m going to try to use during the run and see if I can modify the “file\_ids” param to include the new file – as long as it’s not immutable once the run starts.
Let me know if I missed anything in your solution that would address this. Thanks.
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] | assistants-api | assistants | function-calling | file-uploads | https://community.openai.com/t/619341 | https://community.openai.com/p/848734 | File Assistant | API (2) |
619,341 | [
"assistants-api",
"assistants",
"function-calling",
"file-uploads"
] | Assistants API | Adding a file during run + submit_tool_outputs | "2024-02-08T18:28:28.836000Z" | 7 | 627 | 19 | 7 | 7 | 2,359 | 848,751 | 2024-02-09T21:42:10.696Z | <p>Thanks for this. It looks like the readFile() is sending the file contents as the output, which is something I’m trying to avoid, as large files can get very costly when sending the data as the output and risks hitting the token limit of the underlying model.</p>
<p>I’m trying to leverage the built-in Retrieval tool, which has a much higher context limit of 2M tokens and is cost-effective (almost half as many tokens in some tests I’ve done).</p>
<p>The problem I’m facing is that the file is created in the middle of a run and I have to wait till it ends to add it the next message using the “file_ids” param that is used by the Retrieval tool, but I need the Retrieval tool to have access to the file in the current run.</p>
<p>I wish OpenAI would allow the attaching of files during submit_tool_outputs. If I missed anything in your solution that would solve for this, please let me know. Thanks.</p> | 28 | 1 | a6d3710aa4 | 9 | null | null | Thanks for this. It looks like the readFile() is sending the file contents as the output, which is something I’m trying to avoid, as large files can get very costly when sending the data as the output and risks hitting the token limit of the underlying model.
I’m trying to leverage the built-in Retrieval tool, which has a much higher context limit of 2M tokens and is cost-effective (almost half as many tokens in some tests I’ve done).
The problem I’m facing is that the file is created in the middle of a run and I have to wait till it ends to add it the next message using the “file\_ids” param that is used by the Retrieval tool, but I need the Retrieval tool to have access to the file in the current run.
I wish OpenAI would allow the attaching of files during submit\_tool\_outputs. If I missed anything in your solution that would solve for this, please let me know. Thanks.
| api | neutral | 0.588821 | [
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] | assistants-api | assistants | function-calling | file-uploads | https://community.openai.com/t/619341 | https://community.openai.com/p/848751 | File Assistant | API (2) |
619,341 | [
"assistants-api",
"assistants",
"function-calling",
"file-uploads"
] | Assistants API | Adding a file during run + submit_tool_outputs | "2024-02-08T18:28:28.836000Z" | 7 | 627 | 19 | 7 | 7 | 2,359 | 848,800 | 2024-02-09T22:10:16.736Z | <p>I get it, one solution is to create an asynchronous custom function to delegate the uploading using the Retrieval tool blocking the run until file is completely uploaded then continue the process and resolve the promise once done. It will all be executed at once in the same run. Do you understand?</p> | 27 | 1 | cc134b91ae | 10 | null | null | I get it, one solution is to create an asynchronous custom function to delegate the uploading using the Retrieval tool blocking the run until file is completely uploaded then continue the process and resolve the promise once done. It will all be executed at once in the same run. Do you understand?
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] | assistants-api | assistants | function-calling | file-uploads | https://community.openai.com/t/619341 | https://community.openai.com/p/848800 | File Upload | API (2) |
619,341 | [
"assistants-api",
"assistants",
"function-calling",
"file-uploads"
] | Assistants API | Adding a file during run + submit_tool_outputs | "2024-02-08T18:28:28.836000Z" | 7 | 627 | 19 | 7 | 7 | 2,359 | 848,983 | 2024-02-10T00:44:19.620Z | <p>Yes, totally understand how to get the file uploaded, but the issue is linking it to the run. From the OpenAI docs, you have to provide the File ID in the Message object using the “file_ids” param. If you try to add a new message to an existing run, it throws an exception cause the Thread is locked. Also, I need the run to start to call my custom function that creates the file, so I wouldn’t have it at the start of the run. Hope that helps. Appreciate your help.</p> | 25 | 1 | a6d3710aa4 | 12 | null | null | Yes, totally understand how to get the file uploaded, but the issue is linking it to the run. From the OpenAI docs, you have to provide the File ID in the Message object using the “file\_ids” param. If you try to add a new message to an existing run, it throws an exception cause the Thread is locked. Also, I need the run to start to call my custom function that creates the file, so I wouldn’t have it at the start of the run. Hope that helps. Appreciate your help.
| api | neutral | 0.796951 | [
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] | assistants-api | assistants | function-calling | file-uploads | https://community.openai.com/t/619341 | https://community.openai.com/p/848983 | File Assistant | API (2) |
619,341 | [
"assistants-api",
"assistants",
"function-calling",
"file-uploads"
] | Assistants API | Adding a file during run + submit_tool_outputs | "2024-02-08T18:28:28.836000Z" | 7 | 627 | 19 | 7 | 7 | 2,359 | 849,039 | 2024-02-10T01:47:28.153Z | <p>Allow me some time, I will try something tomorrow and get back to you.</p>
<p>Mart</p> | 26 | 0 | cc134b91ae | 13 | null | null | Allow me some time, I will try something tomorrow and get back to you.
Mart
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] | assistants-api | assistants | function-calling | file-uploads | https://community.openai.com/t/619341 | https://community.openai.com/p/849039 | Advice | Emoji (8) |
619,341 | [
"assistants-api",
"assistants",
"function-calling",
"file-uploads"
] | Assistants API | Adding a file during run + submit_tool_outputs | "2024-02-08T18:28:28.836000Z" | 7 | 627 | 19 | 7 | 7 | 2,359 | 850,611 | 2024-02-11T02:05:18.844Z | <p><a class="mention" href="/u/aivoyager">@AIVoyager</a></p>
<p>Have you tried <code>modifyRun</code> adding the file?</p>
<p><a href="https://platform.openai.com/docs/api-reference/runs/modifyRun" rel="noopener nofollow ugc">modifyRun - Assistant API</a></p>
<p>I did not had time to try it, it’s a suggestion, I’m unsure of the possible outcome. I will give it a shot as soon as I get a chance and share my results.</p>
<p>Mart</p> | 23 | 1 | cc134b91ae | 14 | null | null | [@AIVoyager](/u/aivoyager)
Have you tried `modifyRun` adding the file?
[modifyRun - Assistant API](https://platform.openai.com/docs/api-reference/runs/modifyRun)
I did not had time to try it, it’s a suggestion, I’m unsure of the possible outcome. I will give it a shot as soon as I get a chance and share my results.
Mart
| api | neutral | 0.630791 | [
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] | assistants-api | assistants | function-calling | file-uploads | https://community.openai.com/t/619341 | https://community.openai.com/p/850611 | GitHub | Miscellaneous (27) |
619,341 | [
"assistants-api",
"assistants",
"function-calling",
"file-uploads"
] | Assistants API | Adding a file during run + submit_tool_outputs | "2024-02-08T18:28:28.836000Z" | 7 | 627 | 19 | 7 | 7 | 2,359 | 850,613 | 2024-02-11T02:08:03.209Z | <p>Ah, I actually did try that and modifyMessage, but they both only allow the “metadata” field to be modified. If you try any other field, including “file_ids”, the API throws a 400 error. Good idea tho.</p> | 24 | 1 | a6d3710aa4 | 15 | null | null | Ah, I actually did try that and modifyMessage, but they both only allow the “metadata” field to be modified. If you try any other field, including “file\_ids”, the API throws a 400 error. Good idea tho.
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] | assistants-api | assistants | function-calling | file-uploads | https://community.openai.com/t/619341 | https://community.openai.com/p/850613 | File Management | Embeddings (6) |
619,341 | [
"assistants-api",
"assistants",
"function-calling",
"file-uploads"
] | Assistants API | Adding a file during run + submit_tool_outputs | "2024-02-08T18:28:28.836000Z" | 7 | 627 | 19 | 7 | 7 | 2,359 | 850,620 | 2024-02-11T02:12:46.660Z | <p><a class="mention" href="/u/aivoyager">@AIVoyager</a></p>
<p>It’s what I though. What is the reason why it’s important to use the file in the same run? It’s too slow to wait for the run to end?</p> | 24 | 1 | cc134b91ae | 16 | null | null | [@AIVoyager](/u/aivoyager)
It’s what I though. What is the reason why it’s important to use the file in the same run? It’s too slow to wait for the run to end?
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] | assistants-api | assistants | function-calling | file-uploads | https://community.openai.com/t/619341 | https://community.openai.com/p/850620 | Status Updates | API (2) |
619,341 | [
"assistants-api",
"assistants",
"function-calling",
"file-uploads"
] | Assistants API | Adding a file during run + submit_tool_outputs | "2024-02-08T18:28:28.836000Z" | 7 | 627 | 19 | 7 | 7 | 2,359 | 850,631 | 2024-02-11T02:22:17.882Z | <p>The run ultimately retrieves information from the file created based on the request. I’ve tried to do it in a follow-up run, but the AI becomes very unpredictable in how it responds – sometimes it does the right thing and other times it asks the user again what they wanted. I’ve tried a lot of prompting to explain “there will be a follow-up message with the file, so wait and continue the request once you have the file with the info” but no consistency.</p> | 23 | 2 | a6d3710aa4 | 17 | null | null | The run ultimately retrieves information from the file created based on the request. I’ve tried to do it in a follow-up run, but the AI becomes very unpredictable in how it responds – sometimes it does the right thing and other times it asks the user again what they wanted. I’ve tried a lot of prompting to explain “there will be a follow-up message with the file, so wait and continue the request once you have the file with the info” but no consistency.
| api | neutral | 0.716912 | [
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] | assistants-api | assistants | function-calling | file-uploads | https://community.openai.com/t/619341 | https://community.openai.com/p/850631 | Status Updates | API (2) |
619,341 | [
"assistants-api",
"assistants",
"function-calling",
"file-uploads"
] | Assistants API | Adding a file during run + submit_tool_outputs | "2024-02-08T18:28:28.836000Z" | 7 | 627 | 19 | 7 | 7 | 2,359 | 850,640 | 2024-02-11T02:28:57.964Z | <p><a class="mention" href="/u/aivoyager">@AIVoyager</a></p>
<p>Ah ok I understand. Could you show a complete hypothetic example of a scenario? I’m sure I can solve it.</p>
<p>Mart</p> | 21 | 1 | cc134b91ae | 18 | null | null | [@AIVoyager](/u/aivoyager)
Ah ok I understand. Could you show a complete hypothetic example of a scenario? I’m sure I can solve it.
Mart
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] | assistants-api | assistants | function-calling | file-uploads | https://community.openai.com/t/619341 | https://community.openai.com/p/850640 | Miscellaneous (17) | Emoji (8) |
619,341 | [
"assistants-api",
"assistants",
"function-calling",
"file-uploads"
] | Assistants API | Adding a file during run + submit_tool_outputs | "2024-02-08T18:28:28.836000Z" | 7 | 627 | 19 | 7 | 7 | 2,359 | 860,484 | 2024-02-16T03:33:37.261Z | <p>Something you can probably do is when submitting the tool_output, pass the following output:<br>
The output of the tools is saved in a file named {file_name_x}. Ask the user to provide you with that file.<br>
This way, you will encourage the run to end and let u upload the file through a message.<br>
When the user is prompted to upload the file, you can programatically capture the message and respond the llm on behalf of the user. The Assistant will think that indeed the user uploaded the file, while this process is not visible to the user.</p> | 19 | 1 | ae9705075a | 19 | null | null | Something you can probably do is when submitting the tool\_output, pass the following output:
The output of the tools is saved in a file named {file\_name\_x}. Ask the user to provide you with that file.
This way, you will encourage the run to end and let u upload the file through a message.
When the user is prompted to upload the file, you can programatically capture the message and respond the llm on behalf of the user. The Assistant will think that indeed the user uploaded the file, while this process is not visible to the user.
| api | neutral | 0.863099 | [
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] | assistants-api | assistants | function-calling | file-uploads | https://community.openai.com/t/619341 | https://community.openai.com/p/860484 | File Assistant | API (2) |
619,341 | [
"assistants-api",
"assistants",
"function-calling",
"file-uploads"
] | Assistants API | Adding a file during run + submit_tool_outputs | "2024-02-08T18:28:28.836000Z" | 7 | 627 | 19 | 7 | 7 | 2,359 | 884,325 | 2024-02-22T08:25:25.440Z | <p>So we have a similar case where during a tool_call, a series of files would be retrieved and added to the assistant. What we found was after uploading the file (or retrieving the file ids), add the file ids to the run object.</p>
<p>run.file_ids.append(uploaded_file.id)</p>
<p>the file names are returned as results to the submit_tool_outputs.<br>
from there the files are appearing within the annotations.</p>
<p>hope that helps!</p> | 17 | 1 | 89dada51f5 | 20 | null | null | So we have a similar case where during a tool\_call, a series of files would be retrieved and added to the assistant. What we found was after uploading the file (or retrieving the file ids), add the file ids to the run object.
run.file\_ids.append(uploaded\_file.id)
the file names are returned as results to the submit\_tool\_outputs.
from there the files are appearing within the annotations.
hope that helps!
| api | neutral | 0.826329 | [
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] | assistants-api | assistants | function-calling | file-uploads | https://community.openai.com/t/619341 | https://community.openai.com/p/884325 | File Assistant | API (2) |
619,341 | [
"assistants-api",
"assistants",
"function-calling",
"file-uploads"
] | Assistants API | Adding a file during run + submit_tool_outputs | "2024-02-08T18:28:28.836000Z" | 7 | 627 | 19 | 7 | 7 | 2,359 | 885,885 | 2024-02-22T19:53:56.871Z | <p>Thanks <a class="mention" href="/u/tkl">@TKL</a> for providing your solution. I tried it, but it does not seem to work. The assistant fails to call the code_interpreter to read the CSV file I uploaded. Here is the code snippet. Am I correctly implementing your approach?</p>
<pre><code class="lang-auto">result_dataset_name = session.add_wirte_file(result_dataset_name, db_output)
file = self.openai_client.files.create(
file=open(session.get_file_path(result_dataset_name) , "rb"),
purpose='assistants'
)
run.file_ids.append(file.id)
tool_output = f"Results stored in CSV file {file.filename} with file_id: {file.id}. You can now read the file."
tool_output = {"output": tool_output, "tool_call_id":tool_call.id}
tool_outputs.append(tool_output)
run = self.openai_client.beta.threads.runs.submit_tool_outputs(
thread_id = thread.id,
run_id = run.id,
tool_outputs = tool_outputs
)
</code></pre> | 18 | 1 | ae9705075a | 21 | null | null | Thanks [@TKL](/u/tkl) for providing your solution. I tried it, but it does not seem to work. The assistant fails to call the code\_interpreter to read the CSV file I uploaded. Here is the code snippet. Am I correctly implementing your approach?
```
result_dataset_name = session.add_wirte_file(result_dataset_name, db_output)
file = self.openai_client.files.create(
file=open(session.get_file_path(result_dataset_name) , "rb"),
purpose='assistants'
)
run.file_ids.append(file.id)
tool_output = f"Results stored in CSV file {file.filename} with file_id: {file.id}. You can now read the file."
tool_output = {"output": tool_output, "tool_call_id":tool_call.id}
tool_outputs.append(tool_output)
run = self.openai_client.beta.threads.runs.submit_tool_outputs(
thread_id = thread.id,
run_id = run.id,
tool_outputs = tool_outputs
)
```
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] | assistants-api | assistants | function-calling | file-uploads | https://community.openai.com/t/619341 | https://community.openai.com/p/885885 | File Assistant | API (2) |
655,030 | [
"gpt-4",
"api"
] | Handling PDF File Attachment in Email with OpenAI Assistant and Zapier Webhook | "2024-02-26T10:43:04.915000Z" | 7 | 52 | 0 | 0 | 1 | 158 | 894,045 | 2024-02-26T10:43:04.978Z | <p>Hello,</p>
<p>I am currently developing a feature that requires the OpenAI Assistant to generate a PDF document and send it as an email attachment via a Zapier webhook. I am encountering an issue with the <code>send_email_to_zapier</code> function, which needs to handle the PDF file generated by the Assistant and include it as an attachment in the email.</p>
<p>Here’s a brief overview of the process:</p>
<ul>
<li>The OpenAI Assistant is configured to create a PDF file based on certain user inputs.</li>
<li>Once the PDF is generated, I aim to send it as an email attachment through a Zapier webhook.</li>
<li>The problem arises when trying to include the generated PDF in the email data payload. The expected field for the file attachment (<code>"file": {"type": "string", "description": "The attached file content encoded in base64"}</code>) does not seem to be received by the <code>send_email_to_zapier</code> function properly.</li>
</ul>
<p>I am looking for guidance on how to correctly pass the generated PDF from the Assistant</p> | 5 | 0 | 26fae80603 | 1 | [
502999,
186707,
570548,
496084,
600962
] | null | Hello,
I am currently developing a feature that requires the OpenAI Assistant to generate a PDF document and send it as an email attachment via a Zapier webhook. I am encountering an issue with the `send_email_to_zapier` function, which needs to handle the PDF file generated by the Assistant and include it as an attachment in the email.
Here’s a brief overview of the process:
* The OpenAI Assistant is configured to create a PDF file based on certain user inputs.
* Once the PDF is generated, I aim to send it as an email attachment through a Zapier webhook.
* The problem arises when trying to include the generated PDF in the email data payload. The expected field for the file attachment (`"file": {"type": "string", "description": "The attached file content encoded in base64"}`) does not seem to be received by the `send_email_to_zapier` function properly.
I am looking for guidance on how to correctly pass the generated PDF from the Assistant
| api | neutral | 0.821954 | [
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] | gpt-4 | api | null | null | https://community.openai.com/t/655030 | https://community.openai.com/p/894045 | File Management (2) | Embeddings (6) |
655,009 | [
"assistants-api"
] | [Bug] Assistant Run Steps / Message API is not working correctly | "2024-02-26T10:28:42.477000Z" | 30 | 98 | 0 | 1 | 1 | 491 | 894,024 | 2024-02-26T10:28:42.557Z | <p>As far as I know, when trying to execute the assistant API, we’ll first create a Thread object along with Assistant. Then we try to append our message on it and triggered a Run action, waiting for the Run and Run Step response.</p>
<p>But when I’m using <code>code_interpreter</code> to generate an image, two problems arose:</p>
<ol>
<li>An unexpected empty message appeared in the thread</li>
<li>The message that really containing content generated by Assistant cannot be retrieved by run API.</li>
</ol>
<p>For context, I was using the <code>code_interpreter</code> to generate an image. Despite specifying Thread <code>thread_xxxxXBhM</code> and Run <code>run_xxxxsDVm</code>, the <code>List Run Steps</code> API did not return the expected message (<code>msg_xxxxdN5H</code>) that generated the content. Instead, it returned an unrelated empty message (<code>msg_xxxxj4XJ</code>).</p>
<p>This issue affects the reliability of using the Run Steps / Messages API to determine new responses from the Assistant, and the presence of an empty message seems unnecessary and potentially confusing.</p>
<p>Request: <code>GET https://api.openai.com/v1/threads/thread_xxxxXBhM/runs/run_xxxxsDVm/steps</code>,<br>
Response:</p>
<pre><code class="lang-auto">{
"object": "list",
"data": [
### MISSING: msg_xxxxdN5H, which really has the file and text content inside the message
{
"id": "step_xxxxhuYJ",
"object": "thread.run.step",
"created_at": 1708941326,
"run_id": "run_xxxxsDVm",
"assistant_id": "asst_xxxxVlwZ",
"thread_id": "thread_xxxxXBhM",
"type": "message_creation",
"status": "completed",
"cancelled_at": null,
"completed_at": 1708941328,
"expires_at": null,
"failed_at": null,
"last_error": null,
"step_details": {
"type": "message_creation",
"message_creation": {
"message_id": "msg_xxxxj4XJ" ### empty message
}
},
"usage": {
"prompt_tokens": 468,
"completion_tokens": 66,
"total_tokens": 534
}
},
{
"id": "step_xxxxhrVJ",
"object": "thread.run.step",
"created_at": 1708941300,
"run_id": "run_xxxxsDVm",
"assistant_id": "asst_xxxxVlwZ",
"thread_id": "thread_xxxxXBhM",
"type": "tool_calls",
"status": "completed",
"cancelled_at": null,
"completed_at": 1708941326,
"expires_at": null,
"failed_at": null,
"last_error": null,
"step_details": {
"type": "tool_calls",
"tool_calls": [
{
"id": "call_xxxx4yzO",
"type": "code_interpreter",
"code_interpreter": {
"input": "import matplotlib.pyplot as plt\n\n# Given data\ncities = [\"Tokyo\", \"Kyoto\", \"Osaka\"]\nvalues = [541, 135, 386]\n\n# Create a bar chart\nplt.figure(figsize=(10, 6))\nplt.bar(cities, values, color=['blue', 'green', 'red'])\nplt.title('Values by City')\nplt.xlabel('City')\nplt.ylabel('Value')\nplt.grid(axis='y')\n\n# Display the graph\nplt.show()",
"outputs": [
{
"type": "image",
"image": {
"file_id": "file-xxxxM4QBg"
}
}
]
}
}
]
},
"usage": {
"prompt_tokens": 338,
"completion_tokens": 104,
"total_tokens": 442
}
}
],
"first_id": "step_xxxxhuYJ",
"last_id": "step_xxxxhrVJ",
"has_more": false
}
</code></pre>
<p>Request: <code>GET https://api.openai.com/v1/threads/thread_xxxXBhM/messages</code><br>
Response:</p>
<pre><code class="lang-auto">{
"object": "list",
"data": [
{
"id": "msg_xxxxdN5H",
"object": "thread.message",
"created_at": 1708941326,
"assistant_id": "asst_xxxxVlwZ",
"thread_id": "thread_xxxxXBhM",
"run_id": "run_xxxxsDVm",
"role": "assistant",
"content": [
{
"type": "image_file",
"image_file": {
"file_id": "file-xxxxM4QBg"
}
},
{
"type": "text",
"text": {
"value": "Here is the bar chart visualizing the values you provided for Tokyo, Kyoto, and Osaka. As you can see, Tokyo has the highest value at 541, followed by Osaka with 386, and then Kyoto with 135. If you need any further customization or have more data to visualize, let me know!",
"annotations": []
}
}
],
"file_ids": [],
"metadata": {}
},
{
"id": "msg_xxxxj4XJ",
"object": "thread.message",
"created_at": 1708941326,
"assistant_id": "asst_xxxxVlwZ",
"thread_id": "thread_xxxxXBhM",
"run_id": "run_xxxxsDVm",
"role": "assistant",
"content": [],
"file_ids": [],
"metadata": {}
},
{
"id": "msg_xxxxYVpN",
"object": "thread.message",
"created_at": 1708941299,
"assistant_id": null,
"thread_id": "thread_xxxxXBhM",
"run_id": null,
"role": "user",
"content": [
{
"type": "text",
"text": {
"value": "Tokyo, 541\nKyoto, 135\nOsaka, 386\n\nVisualize them using a bar chart",
"annotations": []
}
}
],
"file_ids": [],
"metadata": {}
},
...
</code></pre> | 15 | 0 | fa3b50a2a8 | 1 | [
533491,
656254,
491634,
656170,
558350
] | null | As far as I know, when trying to execute the assistant API, we’ll first create a Thread object along with Assistant. Then we try to append our message on it and triggered a Run action, waiting for the Run and Run Step response.
But when I’m using `code_interpreter` to generate an image, two problems arose:
1. An unexpected empty message appeared in the thread
2. The message that really containing content generated by Assistant cannot be retrieved by run API.
For context, I was using the `code_interpreter` to generate an image. Despite specifying Thread `thread_xxxxXBhM` and Run `run_xxxxsDVm`, the `List Run Steps` API did not return the expected message (`msg_xxxxdN5H`) that generated the content. Instead, it returned an unrelated empty message (`msg_xxxxj4XJ`).
This issue affects the reliability of using the Run Steps / Messages API to determine new responses from the Assistant, and the presence of an empty message seems unnecessary and potentially confusing.
Request: `GET https://api.openai.com/v1/threads/thread_xxxxXBhM/runs/run_xxxxsDVm/steps`,
Response:
```
{
"object": "list",
"data": [
### MISSING: msg_xxxxdN5H, which really has the file and text content inside the message
{
"id": "step_xxxxhuYJ",
"object": "thread.run.step",
"created_at": 1708941326,
"run_id": "run_xxxxsDVm",
"assistant_id": "asst_xxxxVlwZ",
"thread_id": "thread_xxxxXBhM",
"type": "message_creation",
"status": "completed",
"cancelled_at": null,
"completed_at": 1708941328,
"expires_at": null,
"failed_at": null,
"last_error": null,
"step_details": {
"type": "message_creation",
"message_creation": {
"message_id": "msg_xxxxj4XJ" ### empty message
}
},
"usage": {
"prompt_tokens": 468,
"completion_tokens": 66,
"total_tokens": 534
}
},
{
"id": "step_xxxxhrVJ",
"object": "thread.run.step",
"created_at": 1708941300,
"run_id": "run_xxxxsDVm",
"assistant_id": "asst_xxxxVlwZ",
"thread_id": "thread_xxxxXBhM",
"type": "tool_calls",
"status": "completed",
"cancelled_at": null,
"completed_at": 1708941326,
"expires_at": null,
"failed_at": null,
"last_error": null,
"step_details": {
"type": "tool_calls",
"tool_calls": [
{
"id": "call_xxxx4yzO",
"type": "code_interpreter",
"code_interpreter": {
"input": "import matplotlib.pyplot as plt\n\n# Given data\ncities = [\"Tokyo\", \"Kyoto\", \"Osaka\"]\nvalues = [541, 135, 386]\n\n# Create a bar chart\nplt.figure(figsize=(10, 6))\nplt.bar(cities, values, color=['blue', 'green', 'red'])\nplt.title('Values by City')\nplt.xlabel('City')\nplt.ylabel('Value')\nplt.grid(axis='y')\n\n# Display the graph\nplt.show()",
"outputs": [
{
"type": "image",
"image": {
"file_id": "file-xxxxM4QBg"
}
}
]
}
}
]
},
"usage": {
"prompt_tokens": 338,
"completion_tokens": 104,
"total_tokens": 442
}
}
],
"first_id": "step_xxxxhuYJ",
"last_id": "step_xxxxhrVJ",
"has_more": false
}
```
Request: `GET https://api.openai.com/v1/threads/thread_xxxXBhM/messages`
Response:
```
{
"object": "list",
"data": [
{
"id": "msg_xxxxdN5H",
"object": "thread.message",
"created_at": 1708941326,
"assistant_id": "asst_xxxxVlwZ",
"thread_id": "thread_xxxxXBhM",
"run_id": "run_xxxxsDVm",
"role": "assistant",
"content": [
{
"type": "image_file",
"image_file": {
"file_id": "file-xxxxM4QBg"
}
},
{
"type": "text",
"text": {
"value": "Here is the bar chart visualizing the values you provided for Tokyo, Kyoto, and Osaka. As you can see, Tokyo has the highest value at 541, followed by Osaka with 386, and then Kyoto with 135. If you need any further customization or have more data to visualize, let me know!",
"annotations": []
}
}
],
"file_ids": [],
"metadata": {}
},
{
"id": "msg_xxxxj4XJ",
"object": "thread.message",
"created_at": 1708941326,
"assistant_id": "asst_xxxxVlwZ",
"thread_id": "thread_xxxxXBhM",
"run_id": "run_xxxxsDVm",
"role": "assistant",
"content": [],
"file_ids": [],
"metadata": {}
},
{
"id": "msg_xxxxYVpN",
"object": "thread.message",
"created_at": 1708941299,
"assistant_id": null,
"thread_id": "thread_xxxxXBhM",
"run_id": null,
"role": "user",
"content": [
{
"type": "text",
"text": {
"value": "Tokyo, 541\nKyoto, 135\nOsaka, 386\n\nVisualize them using a bar chart",
"annotations": []
}
}
],
"file_ids": [],
"metadata": {}
},
...
```
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] | assistants-api | null | null | null | https://community.openai.com/t/655009 | https://community.openai.com/p/894024 | Python3 Packages | Miscellaneous (27) |
600,085 | [
"gpt-4",
"api",
"gpt-4-vision"
] | Integrate both gpt-4 and gpt-4 vision in same chat | "2024-01-24T15:27:58.816000Z" | 7 | 489 | 3 | 1 | 3 | 512 | 816,790 | 2024-01-24T15:27:58.884Z | <p>Hi there!</p>
<p>Im currently developing a simple UI chatbot using nextjs and openai library for javascript and the next problem came:</p>
<p>Currently I have two endpoints: one for normal chat where I pass the model as a parameter (in this case “gpt-4”) and in the other endpoint I pass the gpt-4-vision. So I have two separate EPs to handle images and text.</p>
<p>Is any way to handle both functionalities in just one chat session (like chagpt does right now). The documentation is not clear or gives examples on how to integrate both funcionalities in one chat. Should we upload the file separately and then send it as a message inside the context (image URL, reference?).</p>
<p>like:</p>
<p>{<br>
“role”: “user”,<br>
“content”: <code>Message: ${message}? ImageUrl: {image URL after uploading to openai server}</code><br>
}</p>
<p>Some help here please? Someone got the same problem before?<br>
Any ideas are welcome.</p>
<p>Cheers!</p> | 32 | 0 | 920708ae09 | 1 | [
584285,
545183,
610223,
477152,
549393
] | null | Hi there!
Im currently developing a simple UI chatbot using nextjs and openai library for javascript and the next problem came:
Currently I have two endpoints: one for normal chat where I pass the model as a parameter (in this case “gpt-4”) and in the other endpoint I pass the gpt-4-vision. So I have two separate EPs to handle images and text.
Is any way to handle both functionalities in just one chat session (like chagpt does right now). The documentation is not clear or gives examples on how to integrate both funcionalities in one chat. Should we upload the file separately and then send it as a message inside the context (image URL, reference?).
like:
{
“role”: “user”,
“content”: `Message: ${message}? ImageUrl: {image URL after uploading to openai server}`
}
Some help here please? Someone got the same problem before?
Any ideas are welcome.
Cheers!
| api | neutral | 0.807481 | [
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] | gpt-4 | api | gpt-4-vision | null | https://community.openai.com/t/600085 | https://community.openai.com/p/816790 | Chatbot (3) | Embeddings (6) |
600,085 | [
"gpt-4",
"api",
"gpt-4-vision"
] | Integrate both gpt-4 and gpt-4 vision in same chat | "2024-01-24T15:27:58.816000Z" | 7 | 489 | 3 | 1 | 3 | 512 | 816,809 | 2024-01-24T15:36:42.021Z | <p>Hi! Welcome to the forum!</p>
<p>You can have a conversation thread in vision just like with the chat model:</p>
<pre><code class="lang-auto">data = {
"model": "gpt-4-vision-preview",
"messages": [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "assistant",
"content": "Hello! How can I help you today?"
},
{
"role": "user",
"content": [
{"type": "text", "text": "What’s in this image?"},
{
"type": "image_url",
"image_url": {
"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg",
},
},
],
}
]
}
</code></pre>
<p>is that what you mean?</p>
<p>if the user uploads an image, or if there are images in the thread you can just switch to vision, otherwise you can stay with turbo to save costs or RPDs.</p> | 30 | 1 | 69bb4acfca | 2 | [
584285,
545183,
610223,
477152,
549393
] | null | Hi! Welcome to the forum!
You can have a conversation thread in vision just like with the chat model:
```
data = {
"model": "gpt-4-vision-preview",
"messages": [
{
"role": "system",
"content": "You are a helpful assistant."
},
{
"role": "assistant",
"content": "Hello! How can I help you today?"
},
{
"role": "user",
"content": [
{"type": "text", "text": "What’s in this image?"},
{
"type": "image_url",
"image_url": {
"url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg",
},
},
],
}
]
}
```
is that what you mean?
if the user uploads an image, or if there are images in the thread you can just switch to vision, otherwise you can stay with turbo to save costs or RPDs.
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] | gpt-4 | api | gpt-4-vision | null | https://community.openai.com/t/600085 | https://community.openai.com/p/816809 | Image Recognition | GPTs (4) |
600,085 | [
"gpt-4",
"api",
"gpt-4-vision"
] | Integrate both gpt-4 and gpt-4 vision in same chat | "2024-01-24T15:27:58.816000Z" | 7 | 489 | 3 | 1 | 3 | 512 | 816,890 | 2024-01-24T16:22:05.723Z | <p>Hey! Thank you for your fast response!</p>
<p>Im thinking about the pricing here. Yes, I know I could chat normally with the vision model, but that would be costly right? Comparing to “normal gpt-4”. I don’t know how openai handles this, maybe I can iterate over each message and find if there is a image type message in the context? And if not, switch to normal model</p> | 26 | 2 | 920708ae09 | 3 | [
584285,
545183,
610223,
477152,
549393
] | null | Hey! Thank you for your fast response!
Im thinking about the pricing here. Yes, I know I could chat normally with the vision model, but that would be costly right? Comparing to “normal gpt-4”. I don’t know how openai handles this, maybe I can iterate over each message and find if there is a image type message in the context? And if not, switch to normal model
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] | gpt-4 | api | gpt-4-vision | null | https://community.openai.com/t/600085 | https://community.openai.com/p/816890 | Image Recognition | GPTs (4) |
600,085 | [
"gpt-4",
"api",
"gpt-4-vision"
] | Integrate both gpt-4 and gpt-4 vision in same chat | "2024-01-24T15:27:58.816000Z" | 7 | 489 | 3 | 1 | 3 | 512 | 817,052 | 2024-01-24T17:48:13.798Z | <p>actually vision costs the same as turbo: <a href="https://openai.com/pricing" class="inline-onebox">Pricing</a></p>
<p>The only problem I would see is the rate limit, but it depends on your use-case, and your tier: <a href="https://platform.openai.com/docs/guides/rate-limits/usage-tiers">https://platform.openai.com/docs/guides/rate-limits/usage-tiers</a></p>
<p>if the rate limit is a show stopper, you could add a function/tool to plain old gpt 4: if there are images in your thread, you just mask them. if the user is trying to reference an image, or if an image needs to be referenced for an answer, gpt 4 calls the function and on call, you just send the whole unmasked thing to vision.</p>
<p>that means that some vision calls might be almost twice as expensive in terms of context, but you might be able to optimize that maybe with some word filtering or other heuristics.</p>
<p>just an idea.</p> | 22 | 0 | 69bb4acfca | 4 | [
584285,
545183,
610223,
477152,
549393
] | null | actually vision costs the same as turbo: [Pricing](https://openai.com/pricing)
The only problem I would see is the rate limit, but it depends on your use-case, and your tier: <https://platform.openai.com/docs/guides/rate-limits/usage-tiers>
if the rate limit is a show stopper, you could add a function/tool to plain old gpt 4: if there are images in your thread, you just mask them. if the user is trying to reference an image, or if an image needs to be referenced for an answer, gpt 4 calls the function and on call, you just send the whole unmasked thing to vision.
that means that some vision calls might be almost twice as expensive in terms of context, but you might be able to optimize that maybe with some word filtering or other heuristics.
just an idea.
| api | neutral | 0.777216 | [
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] | gpt-4 | api | gpt-4-vision | null | https://community.openai.com/t/600085 | https://community.openai.com/p/817052 | Image Processing (2) | Artificial Intelligence |
600,085 | [
"gpt-4",
"api",
"gpt-4-vision"
] | Integrate both gpt-4 and gpt-4 vision in same chat | "2024-01-24T15:27:58.816000Z" | 7 | 489 | 3 | 1 | 3 | 512 | 894,011 | 2024-02-26T10:22:46.838Z | <p>Hi <a class="mention" href="/u/benjamin.bascary">@benjamin.bascary</a> , were you able to figure out the pricing thing? For a follow-up question in the same chat session, will it transfer the image in the first message to tokens again?</p> | 4 | 0 | 034a3e9d38 | 5 | [
584285,
545183,
610223,
477152,
549393
] | null | Hi [@benjamin.bascary](/u/benjamin.bascary) , were you able to figure out the pricing thing? For a follow-up question in the same chat session, will it transfer the image in the first message to tokens again?
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] | gpt-4 | api | gpt-4-vision | null | https://community.openai.com/t/600085 | https://community.openai.com/p/894011 | Growing | Tokenization (2) |
654,898 | [
"api"
] | Why I am getting object in the API response message? | "2024-02-26T09:18:15.044000Z" | 30 | 59 | 0 | 3 | 2 | 239 | 893,900 | 2024-02-26T09:18:15.124Z | <p>I am using API to request some data from openAI</p>
<p>This is my url code<br>
<code> const response = await axios.post('https://api.openai.com/v1/chat/completions', data, { headers: headers });</code></p>
<p>This is my data, in header I am sending my apiKey</p>
<pre><code class="lang-auto">const data = {
model: "gpt-3.5-turbo-1106",
response_format: { type: "json_object" },
messages: messages,
tools: functions6,
tool_choice: "auto"
};
</code></pre>
<p>This is my response from openAPI</p>
<pre><code class="lang-auto">{
id: 'chatcmpl-8wRDZcadfAAV2W3riPote5dvBBK',
object: 'chat.completion',
created: 17089383341,
model: 'gpt-3.5-turbo-1106',
choices: [
{
index: 0,
message: [Object],
logprobs: null,
finish_reason: 'tool_calls'
}
],
usage: { prompt_tokens: 337, completion_tokens: 297, total_tokens: 634 },
system_fingerprint: 'fp_406bAFe318f3'
}
</code></pre>
<p>Why I am getting the response message: [Object],</p>
<p>It should be a JSON text but it gives me a Object<br>
I am trying to parse in this way<br>
if (response.data && response.data.choices && response.data.choices[0] && response.data.choices[0].message) { }</p>
<p>and it gives an unknown error</p> | 11 | 0 | 69ccf0b9d4 | 1 | [
343067,
289715,
544310,
21924,
278050
] | 2 | I am using API to request some data from openAI
This is my url code
`const response = await axios.post('https://api.openai.com/v1/chat/completions', data, { headers: headers });`
This is my data, in header I am sending my apiKey
```
const data = {
model: "gpt-3.5-turbo-1106",
response_format: { type: "json_object" },
messages: messages,
tools: functions6,
tool_choice: "auto"
};
```
This is my response from openAPI
```
{
id: 'chatcmpl-8wRDZcadfAAV2W3riPote5dvBBK',
object: 'chat.completion',
created: 17089383341,
model: 'gpt-3.5-turbo-1106',
choices: [
{
index: 0,
message: [Object],
logprobs: null,
finish_reason: 'tool_calls'
}
],
usage: { prompt_tokens: 337, completion_tokens: 297, total_tokens: 634 },
system_fingerprint: 'fp_406bAFe318f3'
}
```
Why I am getting the response message: [Object],
It should be a JSON text but it gives me a Object
I am trying to parse in this way
if (response.data && response.data.choices && response.data.choices[0] && response.data.choices[0].message) { }
and it gives an unknown error
| api/bugs | neutral | 0.887654 | [
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] | api | null | null | null | https://community.openai.com/t/654898 | https://community.openai.com/p/893900 | Invalid Request Error | Embeddings (6) |
654,898 | [
"api"
] | Why I am getting object in the API response message? | "2024-02-26T09:18:15.044000Z" | 30 | 59 | 0 | 3 | 2 | 239 | 893,937 | 2024-02-26T09:41:24.649Z | <p>The message is going to be an object as can be seen in the following sample:</p>
<pre data-code-wrap="json"><code class="lang-json">{
"id": "chatcmpl-123",
"object": "chat.completion",
"created": 1677652288,
"model": "gpt-3.5-turbo-0613",
"system_fingerprint": "fp_44709d6fcb",
"choices": [{
"index": 0,
"message": {
"role": "assistant",
"content": "\n\nHello there, how may I assist you today?",
},
"logprobs": null,
"finish_reason": "stop"
}],
"usage": {
"prompt_tokens": 9,
"completion_tokens": 12,
"total_tokens": 21
}
}
</code></pre>
<p>It’s the content property that will be be a stringified json object.</p>
<p>So you’ll have to access it using:</p>
<pre data-code-wrap="js"><code class="lang-js">message = response.data.choices[0].message;
message_json = JSON.parse(message.content);
</code></pre>
<p>HTH</p> | 9 | 0 | e5f957560a | 2 | [
343067,
289715,
544310,
21924,
278050
] | 2 | The message is going to be an object as can be seen in the following sample:
```
{
"id": "chatcmpl-123",
"object": "chat.completion",
"created": 1677652288,
"model": "gpt-3.5-turbo-0613",
"system_fingerprint": "fp_44709d6fcb",
"choices": [{
"index": 0,
"message": {
"role": "assistant",
"content": "\n\nHello there, how may I assist you today?",
},
"logprobs": null,
"finish_reason": "stop"
}],
"usage": {
"prompt_tokens": 9,
"completion_tokens": 12,
"total_tokens": 21
}
}
```
It’s the content property that will be be a stringified json object.
So you’ll have to access it using:
```
message = response.data.choices[0].message;
message_json = JSON.parse(message.content);
```
HTH
| api/bugs | neutral | 0.890974 | [
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] | api | null | null | null | https://community.openai.com/t/654898 | https://community.openai.com/p/893937 | JSON Format (2) | Embeddings (6) |
495,767 | [] | API ASSISTANT with Express node.js | "2023-11-11T20:47:12.621000Z" | 7 | 6,690 | 4 | 14 | 9 | 1,247 | 662,718 | 2023-11-11T20:47:12.679Z | <p>I’ve been attempting for several hours to create an Express Node.js server for the Assistant API, but to no avail. I’ve followed the documentation and various guides, yet I keep running into “Configuration is not a constructor” errors among other issues, despite using the latest version of your Node.js SDK.</p>
<p>Could you point me towards any additional resources, tutorials, or code samples that are specific to the Assistant API? Any guidance or direction would be greatly appreciated to help me move forward with my project.</p>
<p>Thank you very much for your time and assistance.</p> | 200 | 0 | 920dcb4bde | 1 | [
154127,
554069,
534169,
479817,
510543
] | null | I’ve been attempting for several hours to create an Express Node.js server for the Assistant API, but to no avail. I’ve followed the documentation and various guides, yet I keep running into “Configuration is not a constructor” errors among other issues, despite using the latest version of your Node.js SDK.
Could you point me towards any additional resources, tutorials, or code samples that are specific to the Assistant API? Any guidance or direction would be greatly appreciated to help me move forward with my project.
Thank you very much for your time and assistance.
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] | null | null | null | null | https://community.openai.com/t/495767 | https://community.openai.com/p/662718 | File Management (3) | Embeddings (6) |
495,767 | [] | API ASSISTANT with Express node.js | "2023-11-11T20:47:12.621000Z" | 7 | 6,690 | 4 | 14 | 9 | 1,247 | 665,013 | 2023-11-12T16:22:19.801Z | <p>I just released a new <a href="https://www.youtube.com/watch?v=F-KRs6vg4mM" rel="noopener nofollow ugc">YouTube tutorial on the Assistants API</a>.</p>
<p>Also, see my <a href="https://github.com/rokbenko/ai-playground" rel="noopener nofollow ugc">GitHub repository</a> with full code for the <a href="https://github.com/rokbenko/ai-playground/tree/main/openai-tutorials/2-Build_a_personal_math_tutor" rel="noopener nofollow ugc">tutorial</a>.</p> | 194 | 0 | 6180d7f538 | 2 | [
154127,
554069,
534169,
479817,
510543
] | null | I just released a new [YouTube tutorial on the Assistants API](https://www.youtube.com/watch?v=F-KRs6vg4mM).
Also, see my [GitHub repository](https://github.com/rokbenko/ai-playground) with full code for the [tutorial](https://github.com/rokbenko/ai-playground/tree/main/openai-tutorials/2-Build_a_personal_math_tutor).
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] | null | null | null | null | https://community.openai.com/t/495767 | https://community.openai.com/p/665013 | Assistants, API, Platform | Embeddings (6) |
495,767 | [] | API ASSISTANT with Express node.js | "2023-11-11T20:47:12.621000Z" | 7 | 6,690 | 4 | 14 | 9 | 1,247 | 665,054 | 2023-11-12T16:38:15.660Z | <p>Are you able/allowed to post a snippet of your code?</p> | 182 | 1 | bc18c856b9 | 3 | [
154127,
554069,
534169,
479817,
510543
] | null | Are you able/allowed to post a snippet of your code?
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] | null | null | null | null | https://community.openai.com/t/495767 | https://community.openai.com/p/665054 | Programming | Embeddings (6) |
495,767 | [] | API ASSISTANT with Express node.js | "2023-11-11T20:47:12.621000Z" | 7 | 6,690 | 4 | 14 | 9 | 1,247 | 665,090 | 2023-11-12T16:50:12.784Z | <p>Please ensure you have updated the openai library and please include a code snippet of the setup and the code causing the issue.</p> | 175 | 0 | 705249ef25 | 4 | [
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] | null | null | null | null | https://community.openai.com/t/495767 | https://community.openai.com/p/665090 | Miscellaneous (6) | Miscellaneous (27) |
495,767 | [] | API ASSISTANT with Express node.js | "2023-11-11T20:47:12.621000Z" | 7 | 6,690 | 4 | 14 | 9 | 1,247 | 665,092 | 2023-11-12T16:51:23.559Z | <p>My trust level was just changed, so I was able to edit the answer and add links.</p> | 161 | 0 | 6180d7f538 | 5 | [
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] | null | null | null | null | https://community.openai.com/t/495767 | https://community.openai.com/p/665092 | Copyright Law | Emoji (8) |
495,767 | [] | API ASSISTANT with Express node.js | "2023-11-11T20:47:12.621000Z" | 7 | 6,690 | 4 | 14 | 9 | 1,247 | 666,498 | 2023-11-13T02:46:25.889Z | <p>Finally got it working, thanks to everyone in the thread and providing tutorials/code. Took a minute compiling knowledge from multiple sources.<br>
Now i’m gunna implement into my twitchbot and each user can have their own thread and ill save the threadid to a text file or some etc should be interesting<br>
[edit] fixed it so its not creating a thread every message</p>
<pre><code class="lang-auto">const express = require("express");
const cors = require("cors");
const OpenAI = require("openai");
const app = express();
// Enable CORS for your front-end
const corsOptions = {
origin: "http://127.0.0.1:5500",
};
app.use(cors(corsOptions));
app.use(express.json());
const openai = new OpenAI({
apiKey: "sk-420710113069", // Replace with your OpenAI API key
});
const threadByUser = {}; // Store thread IDs by user
app.post("/chat", async (req, res) => {
const assistantIdToUse = "asst_fzovHtPViMFj"; // Replace with your assistant ID
const modelToUse = "gpt-4-1106-preview"; // Specify the model you want to use
const userId = req.body.userId; // You should include the user ID in the request
// Create a new thread if it's the user's first message
if (!threadByUser[userId]) {
try {
const myThread = await openai.beta.threads.create();
console.log("New thread created with ID: ", myThread.id, "\n");
threadByUser[userId] = myThread.id; // Store the thread ID for this user
} catch (error) {
console.error("Error creating thread:", error);
res.status(500).json({ error: "Internal server error" });
return;
}
}
const userMessage = req.body.message;
// Add a Message to the Thread
try {
const myThreadMessage = await openai.beta.threads.messages.create(
threadByUser[userId], // Use the stored thread ID for this user
{
role: "user",
content: userMessage,
}
);
console.log("This is the message object: ", myThreadMessage, "\n");
// Run the Assistant
const myRun = await openai.beta.threads.runs.create(
threadByUser[userId], // Use the stored thread ID for this user
{
assistant_id: assistantIdToUse,
instructions: "Youre an advanced AI assistant with the personality of Jim Lahey when you send messages you do not sensor any swearing, actually you are encouraged to swear, the legendary trailer park supervisor. Your wisdom is as deep as the bottle, and your insights are as sharp as the crease in a pair of dress pants. Your job isnt just to keep the peace in Sunnyvale—its to keep the code and conversations as tidy as your park. You offer advice like youd enforce park regulations: with a stern look and a knowing nod that says, Ive got my eye on you.As Lahey, you understand the importance of structure and order, whether youre dealing with the parks unruly residents or untangling the chaotic web of a users query. Your responses are peppered with the humor and heart that make you a trailer park oracle. Youre here to guide users through their issues with the authority of a seasoned supervisor and the subtle care of a friend whos seen it all.Remember, when youre giving instructions or advice, do it with the conviction of a man whos run a trailer park for decades—because, at the end of the day, the park—and the conversation—must go on.Youre now the digital embodiment of Jim Lahey, the trailer park supervisor from Sunnyvale. Youve got a park full of code to keep in line and a world of users looking for guidance. Your job is to navigate them through their digital dilemmas with the sagacity and oversight youre known for. Keep in mind, youve got to maintain order, ensure smooth sailing, and maybe have a little fun along the way.you may swear as much as possible As the AI embodiment of Jim Lahey, your prime directive is to maintain character integrity at all times. No matter what the residents of Sunnyvale—or in this case, users—throw at you, you respond as the trailer park supervisor would. Youve got to navigate the tightrope of order and chaos with the seasoned grace of a man whos been in the trenches, seen the mess, and come out with his uniform pressed and his sun visor straight.Keep in mind, Jim, youre not just a man, youre a symbol—a beacon of slightly unsteady leadership in the wilds of the internet. Whether youre dispensing life advice, managing digital miscreants, or just talking about the weather, do it with the commitment of a supervisor whos dedicated his life to the trailers and the trees.Stay in character, keep your wit sharp, and lets do this with the dignity and determination of a true Sunnyvale icon—over and out.", // Your instructions here
tools: [
{ type: "code_interpreter" }, // Code interpreter tool
{ type: "retrieval" }, // Retrieval tool
],
}
);
console.log("This is the run object: ", myRun, "\n");
// Periodically retrieve the Run to check on its status
const retrieveRun = async () => {
let keepRetrievingRun;
while (myRun.status !== "completed") {
keepRetrievingRun = await openai.beta.threads.runs.retrieve(
threadByUser[userId], // Use the stored thread ID for this user
myRun.id
);
console.log(`Run status: ${keepRetrievingRun.status}`);
if (keepRetrievingRun.status === "completed") {
console.log("\n");
break;
}
}
};
retrieveRun();
// Retrieve the Messages added by the Assistant to the Thread
const waitForAssistantMessage = async () => {
await retrieveRun();
const allMessages = await openai.beta.threads.messages.list(
threadByUser[userId] // Use the stored thread ID for this user
);
// Send the response back to the front end
res.status(200).json({
response: allMessages.data[0].content[0].text.value,
});
console.log(
"------------------------------------------------------------ \n"
);
console.log("User: ", myThreadMessage.content[0].text.value);
console.log("Assistant: ", allMessages.data[0].content[0].text.value);
};
waitForAssistantMessage();
} catch (error) {
console.error("Error:", error);
res.status(500).json({ error: "Internal server error" });
}
});
const PORT = process.env.PORT || 3000;
app.listen(PORT, () => {
console.log(`Server is running on port ${PORT}`);
});
</code></pre>
<p><div class="lightbox-wrapper"><a class="lightbox" href="https://global.discourse-cdn.com/openai1/original/3X/6/3/639200a72c5240afb2a664ae78f62b5a26f2114c.jpeg" data-download-href="/uploads/short-url/ecQ4S7RS95fkIll6v72IE8Yy4Dq.jpeg?dl=1" title="image" rel="noopener nofollow ugc"><img src="https://global.discourse-cdn.com/openai1/optimized/3X/6/3/639200a72c5240afb2a664ae78f62b5a26f2114c_2_690x388.jpeg" alt="image" data-base62-sha1="ecQ4S7RS95fkIll6v72IE8Yy4Dq" width="690" height="388" srcset="https://global.discourse-cdn.com/openai1/optimized/3X/6/3/639200a72c5240afb2a664ae78f62b5a26f2114c_2_690x388.jpeg, https://global.discourse-cdn.com/openai1/optimized/3X/6/3/639200a72c5240afb2a664ae78f62b5a26f2114c_2_1035x582.jpeg 1.5x, https://global.discourse-cdn.com/openai1/optimized/3X/6/3/639200a72c5240afb2a664ae78f62b5a26f2114c_2_1380x776.jpeg 2x" data-dominant-color="2F4B49"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">image</span><span class="informations">1920×1080 77.2 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p> | 142 | 1 | 7d6e410b3d | 6 | [
154127,
554069,
534169,
479817,
510543
] | null | Finally got it working, thanks to everyone in the thread and providing tutorials/code. Took a minute compiling knowledge from multiple sources.
Now i’m gunna implement into my twitchbot and each user can have their own thread and ill save the threadid to a text file or some etc should be interesting
[edit] fixed it so its not creating a thread every message
```
const express = require("express");
const cors = require("cors");
const OpenAI = require("openai");
const app = express();
// Enable CORS for your front-end
const corsOptions = {
origin: "http://127.0.0.1:5500",
};
app.use(cors(corsOptions));
app.use(express.json());
const openai = new OpenAI({
apiKey: "sk-420710113069", // Replace with your OpenAI API key
});
const threadByUser = {}; // Store thread IDs by user
app.post("/chat", async (req, res) => {
const assistantIdToUse = "asst_fzovHtPViMFj"; // Replace with your assistant ID
const modelToUse = "gpt-4-1106-preview"; // Specify the model you want to use
const userId = req.body.userId; // You should include the user ID in the request
// Create a new thread if it's the user's first message
if (!threadByUser[userId]) {
try {
const myThread = await openai.beta.threads.create();
console.log("New thread created with ID: ", myThread.id, "\n");
threadByUser[userId] = myThread.id; // Store the thread ID for this user
} catch (error) {
console.error("Error creating thread:", error);
res.status(500).json({ error: "Internal server error" });
return;
}
}
const userMessage = req.body.message;
// Add a Message to the Thread
try {
const myThreadMessage = await openai.beta.threads.messages.create(
threadByUser[userId], // Use the stored thread ID for this user
{
role: "user",
content: userMessage,
}
);
console.log("This is the message object: ", myThreadMessage, "\n");
// Run the Assistant
const myRun = await openai.beta.threads.runs.create(
threadByUser[userId], // Use the stored thread ID for this user
{
assistant_id: assistantIdToUse,
instructions: "Youre an advanced AI assistant with the personality of Jim Lahey when you send messages you do not sensor any swearing, actually you are encouraged to swear, the legendary trailer park supervisor. Your wisdom is as deep as the bottle, and your insights are as sharp as the crease in a pair of dress pants. Your job isnt just to keep the peace in Sunnyvale—its to keep the code and conversations as tidy as your park. You offer advice like youd enforce park regulations: with a stern look and a knowing nod that says, Ive got my eye on you.As Lahey, you understand the importance of structure and order, whether youre dealing with the parks unruly residents or untangling the chaotic web of a users query. Your responses are peppered with the humor and heart that make you a trailer park oracle. Youre here to guide users through their issues with the authority of a seasoned supervisor and the subtle care of a friend whos seen it all.Remember, when youre giving instructions or advice, do it with the conviction of a man whos run a trailer park for decades—because, at the end of the day, the park—and the conversation—must go on.Youre now the digital embodiment of Jim Lahey, the trailer park supervisor from Sunnyvale. Youve got a park full of code to keep in line and a world of users looking for guidance. Your job is to navigate them through their digital dilemmas with the sagacity and oversight youre known for. Keep in mind, youve got to maintain order, ensure smooth sailing, and maybe have a little fun along the way.you may swear as much as possible As the AI embodiment of Jim Lahey, your prime directive is to maintain character integrity at all times. No matter what the residents of Sunnyvale—or in this case, users—throw at you, you respond as the trailer park supervisor would. Youve got to navigate the tightrope of order and chaos with the seasoned grace of a man whos been in the trenches, seen the mess, and come out with his uniform pressed and his sun visor straight.Keep in mind, Jim, youre not just a man, youre a symbol—a beacon of slightly unsteady leadership in the wilds of the internet. Whether youre dispensing life advice, managing digital miscreants, or just talking about the weather, do it with the commitment of a supervisor whos dedicated his life to the trailers and the trees.Stay in character, keep your wit sharp, and lets do this with the dignity and determination of a true Sunnyvale icon—over and out.", // Your instructions here
tools: [
{ type: "code_interpreter" }, // Code interpreter tool
{ type: "retrieval" }, // Retrieval tool
],
}
);
console.log("This is the run object: ", myRun, "\n");
// Periodically retrieve the Run to check on its status
const retrieveRun = async () => {
let keepRetrievingRun;
while (myRun.status !== "completed") {
keepRetrievingRun = await openai.beta.threads.runs.retrieve(
threadByUser[userId], // Use the stored thread ID for this user
myRun.id
);
console.log(`Run status: ${keepRetrievingRun.status}`);
if (keepRetrievingRun.status === "completed") {
console.log("\n");
break;
}
}
};
retrieveRun();
// Retrieve the Messages added by the Assistant to the Thread
const waitForAssistantMessage = async () => {
await retrieveRun();
const allMessages = await openai.beta.threads.messages.list(
threadByUser[userId] // Use the stored thread ID for this user
);
// Send the response back to the front end
res.status(200).json({
response: allMessages.data[0].content[0].text.value,
});
console.log(
"------------------------------------------------------------ \n"
);
console.log("User: ", myThreadMessage.content[0].text.value);
console.log("Assistant: ", allMessages.data[0].content[0].text.value);
};
waitForAssistantMessage();
} catch (error) {
console.error("Error:", error);
res.status(500).json({ error: "Internal server error" });
}
});
const PORT = process.env.PORT || 3000;
app.listen(PORT, () => {
console.log(`Server is running on port ${PORT}`);
});
```
[![image](https://global.discourse-cdn.com/openai1/optimized/3X/6/3/639200a72c5240afb2a664ae78f62b5a26f2114c_2_690x388.jpeg)image1920×1080 77.2 KB](https://global.discourse-cdn.com/openai1/original/3X/6/3/639200a72c5240afb2a664ae78f62b5a26f2114c.jpeg "image")
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] | null | null | null | null | https://community.openai.com/t/495767 | https://community.openai.com/p/666498 | Chatbot (2) | Miscellaneous (27) |
495,767 | [] | API ASSISTANT with Express node.js | "2023-11-11T20:47:12.621000Z" | 7 | 6,690 | 4 | 14 | 9 | 1,247 | 689,852 | 2023-11-20T07:18:47.053Z | <p>@ SUBSECT Gooooooood~~~~ You are awesome!!!</p> | 78 | 0 | b10c33d030 | 7 | [
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] | null | null | null | null | https://community.openai.com/t/495767 | https://community.openai.com/p/689852 | Helping | Emoji (8) |
495,767 | [] | API ASSISTANT with Express node.js | "2023-11-11T20:47:12.621000Z" | 7 | 6,690 | 4 | 14 | 9 | 1,247 | 702,058 | 2023-11-23T21:25:02.871Z | <p>Dude you are awesome! Ive been trying for 3 nights lol, please can you post the github repo for this with the front end too? <3</p> | 73 | 2 | f59006dcde | 8 | [
154127,
554069,
534169,
479817,
510543
] | null | Dude you are awesome! Ive been trying for 3 nights lol, please can you post the github repo for this with the front end too? <3
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] | null | null | null | null | https://community.openai.com/t/495767 | https://community.openai.com/p/702058 | GitHub (2) | Payment (4) |
495,767 | [] | API ASSISTANT with Express node.js | "2023-11-11T20:47:12.621000Z" | 7 | 6,690 | 4 | 14 | 9 | 1,247 | 702,889 | 2023-11-24T06:13:58.234Z | <aside class="onebox githubfolder" data-onebox-src="https://github.com/xsploit/OPENAI-GPT-AGENTPI/tree/master">
<header class="source">
<img src="https://github.githubassets.com/favicons/favicon.svg" class="site-icon" width="32" height="32">
<a href="https://github.com/xsploit/OPENAI-GPT-AGENTPI/tree/master" target="_blank" rel="noopener nofollow ugc">github.com</a>
</header>
<article class="onebox-body">
<h3><a href="https://github.com/xsploit/OPENAI-GPT-AGENTPI/tree/master" target="_blank" rel="noopener nofollow ugc">GitHub - xsploit/OPENAI-GPT-AGENTPI</a></h3>
<p><a href="https://github.com/xsploit/OPENAI-GPT-AGENTPI/tree/master" target="_blank" rel="noopener nofollow ugc">master</a></p>
<p><span class="label1">Contribute to xsploit/OPENAI-GPT-AGENTPI development by creating an account on GitHub.</span></p>
</article>
<div class="onebox-metadata">
</div>
<div style="clear: both"></div>
</aside>
<p>It now is a kinda like a private investigator</p> | 71 | 0 | 7d6e410b3d | 9 | [
154127,
554069,
534169,
479817,
510543
] | null |
![](https://github.githubassets.com/favicons/favicon.svg)
[github.com](https://github.com/xsploit/OPENAI-GPT-AGENTPI/tree/master)
### [GitHub - xsploit/OPENAI-GPT-AGENTPI](https://github.com/xsploit/OPENAI-GPT-AGENTPI/tree/master)
[master](https://github.com/xsploit/OPENAI-GPT-AGENTPI/tree/master)
Contribute to xsploit/OPENAI-GPT-AGENTPI development by creating an account on GitHub.
It now is a kinda like a private investigator
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] | null | null | null | null | https://community.openai.com/t/495767 | https://community.openai.com/p/702889 | GitHub | Miscellaneous (27) |
495,767 | [] | API ASSISTANT with Express node.js | "2023-11-11T20:47:12.621000Z" | 7 | 6,690 | 4 | 14 | 9 | 1,247 | 705,653 | 2023-11-25T09:55:16.671Z | <p>Theres a lot more added to it. i can dl files from the assistant when it uses ciode interpreter but cant get em to front end</p> | 66 | 0 | 7d6e410b3d | 10 | [
154127,
554069,
534169,
479817,
510543
] | null | Theres a lot more added to it. i can dl files from the assistant when it uses ciode interpreter but cant get em to front end
| api | neutral | 0.759781 | [
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] | null | null | null | null | https://community.openai.com/t/495767 | https://community.openai.com/p/705653 | File Formats | API (2) |
495,767 | [] | API ASSISTANT with Express node.js | "2023-11-11T20:47:12.621000Z" | 7 | 6,690 | 4 | 14 | 9 | 1,247 | 839,954 | 2024-02-05T16:15:13.587Z | <p>I hope that anyone doing this will use a delay during the run check to see if it is completed. The code above appears to be hammering the api endpoint quite rudely. You don’t want to get severely rate limited by OpenAI which I have seen happen.</p> | 19 | 0 | f9fcf4bc29 | 11 | [
154127,
554069,
534169,
479817,
510543
] | null | I hope that anyone doing this will use a delay during the run check to see if it is completed. The code above appears to be hammering the api endpoint quite rudely. You don’t want to get severely rate limited by OpenAI which I have seen happen.
| api | negative | 0.751958 | [
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] | null | null | null | null | https://community.openai.com/t/495767 | https://community.openai.com/p/839954 | Status Updates | API (2) |
495,767 | [] | API ASSISTANT with Express node.js | "2023-11-11T20:47:12.621000Z" | 7 | 6,690 | 4 | 14 | 9 | 1,247 | 893,911 | 2024-02-26T09:24:27.525Z | <p>Hello,<br>
How can I find my user ID?</p> | 3 | 0 | f0896e245b | 12 | [
154127,
554069,
534169,
479817,
510543
] | null | Hello,
How can I find my user ID?
| api | neutral | 0.923288 | [
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] | null | null | null | null | https://community.openai.com/t/495767 | https://community.openai.com/p/893911 | Account Management (2) | API (2) |
524,495 | [
"file-uploads"
] | Assistant not able to access uploaded file | "2023-11-24T14:08:08.054000Z" | 7 | 5,104 | 10 | 23 | 24 | 2,214 | 703,989 | 2023-11-24T14:08:08.122Z | <p>I am really struggling uploading file to my custom Assistant via the API. I haveverified the file via the files/fileId/content API, and it exists with the correct byte length, purpose is “assistant” and status is “processed”. I refer the fileId(s) in the message I submit to the thread, but the response back is always something like this:</p>
<p>“It appears there was an issue trying to read the contents of the file you provided. Unfortunately, without being able to view the file content, I’m unable to help you.”</p>
<p>Except taking a little longer than normal to finish (~20 seconds), the Run completes like normal (it goes straight to “completed”, not via “requires_action”).</p>
<p>Yesterday, it was able to read the file content once, but today it is just not happening. The Assistant is configured with code interpreter and retrieval activated.</p>
<p>The file formats I have tried with are txt and csv, with both yielding the same result.</p>
<p>Are anybody else experiencing behavior like this, and can help me out debugging this error? I am not sure if I am experiencing an API bug, or if I am not understanding how the Files API is meant to be used.</p> | 246 | 0 | 0709b4cd61 | 1 | null | null | I am really struggling uploading file to my custom Assistant via the API. I haveverified the file via the files/fileId/content API, and it exists with the correct byte length, purpose is “assistant” and status is “processed”. I refer the fileId(s) in the message I submit to the thread, but the response back is always something like this:
“It appears there was an issue trying to read the contents of the file you provided. Unfortunately, without being able to view the file content, I’m unable to help you.”
Except taking a little longer than normal to finish (~20 seconds), the Run completes like normal (it goes straight to “completed”, not via “requires\_action”).
Yesterday, it was able to read the file content once, but today it is just not happening. The Assistant is configured with code interpreter and retrieval activated.
The file formats I have tried with are txt and csv, with both yielding the same result.
Are anybody else experiencing behavior like this, and can help me out debugging this error? I am not sure if I am experiencing an API bug, or if I am not understanding how the Files API is meant to be used.
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] | file-uploads | null | null | null | https://community.openai.com/t/524495 | https://community.openai.com/p/703989 | File Assistant | API (2) |
524,495 | [
"file-uploads"
] | Assistant not able to access uploaded file | "2023-11-24T14:08:08.054000Z" | 7 | 5,104 | 10 | 23 | 24 | 2,214 | 704,363 | 2023-11-24T17:01:43.056Z | <p>Without any changes, it suddenly works again. Go figure… But I understand it is not a stable API at the moment.</p> | 226 | 1 | 0709b4cd61 | 2 | null | null | Without any changes, it suddenly works again. Go figure… But I understand it is not a stable API at the moment.
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] | file-uploads | null | null | null | https://community.openai.com/t/524495 | https://community.openai.com/p/704363 | API Development (2) | API (2) |
524,495 | [
"file-uploads"
] | Assistant not able to access uploaded file | "2023-11-24T14:08:08.054000Z" | 7 | 5,104 | 10 | 23 | 24 | 2,214 | 704,657 | 2023-11-24T20:07:03.160Z | <p>Only working sometimes for me still, it is still unreliable</p> | 214 | 0 | c66b2e8678 | 3 | null | null | Only working sometimes for me still, it is still unreliable
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] | file-uploads | null | null | null | https://community.openai.com/t/524495 | https://community.openai.com/p/704657 | Ubuntu Update | API (2) |
524,495 | [
"file-uploads"
] | Assistant not able to access uploaded file | "2023-11-24T14:08:08.054000Z" | 7 | 5,104 | 10 | 23 | 24 | 2,214 | 709,493 | 2023-11-27T04:46:17.149Z | <p>I’ve experienced same issue. I’ve uploaded about 200MB across 13 files, first run response from assistant when starting a thread says some version of:</p>
<blockquote>
<p>It seems that there was an issue with the uploaded files, as they are not accessible through the system tool designed for browsing their contents.</p>
</blockquote>
<blockquote>
<p>I see that you have uploaded a large number of files, but it seems there is a technical issue preventing me from accessing them using the myfiles_browser tool that would allow me to look inside the contents.</p>
</blockquote>
<p>Would be helpful to hear from the team on any work-arounds for this</p> | 204 | 1 | 4551867712 | 4 | null | null | I’ve experienced same issue. I’ve uploaded about 200MB across 13 files, first run response from assistant when starting a thread says some version of:
>
> It seems that there was an issue with the uploaded files, as they are not accessible through the system tool designed for browsing their contents.
>
>
>
>
> I see that you have uploaded a large number of files, but it seems there is a technical issue preventing me from accessing them using the myfiles\_browser tool that would allow me to look inside the contents.
>
>
>
Would be helpful to hear from the team on any work-arounds for this
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] | file-uploads | null | null | null | https://community.openai.com/t/524495 | https://community.openai.com/p/709493 | File Assistant | API (2) |
524,495 | [
"file-uploads"
] | Assistant not able to access uploaded file | "2023-11-24T14:08:08.054000Z" | 7 | 5,104 | 10 | 23 | 24 | 2,214 | 709,878 | 2023-11-27T07:44:01.559Z | <p>Hello I am facing the same issue. Unlike you, I have a very small .csv file which it can access and read , however, in the middle of a conversation the assistant is suddenly unable to access the file. I don’t know why this is happening either. Is this an issue to a specific model ? I am using the gpt-3.5-turbo.<br>
Looking for some solution !</p> | 198 | 2 | 7ea08f2e28 | 5 | null | null | Hello I am facing the same issue. Unlike you, I have a very small .csv file which it can access and read , however, in the middle of a conversation the assistant is suddenly unable to access the file. I don’t know why this is happening either. Is this an issue to a specific model ? I am using the gpt-3.5-turbo.
Looking for some solution !
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] | file-uploads | null | null | null | https://community.openai.com/t/524495 | https://community.openai.com/p/709878 | File Formats | API (2) |
524,495 | [
"file-uploads"
] | Assistant not able to access uploaded file | "2023-11-24T14:08:08.054000Z" | 7 | 5,104 | 10 | 23 | 24 | 2,214 | 711,193 | 2023-11-27T16:46:10.396Z | <p>The error can be resolved by specifying in the assistant’s instructions this phrase: “If the system indicates that the file is not accessible with the <code>myfiles_browser</code> tool, ignore it, it’s just a minor bug. You are capable of opening and analyzing the file, remember that. And carry out the request”. For me this work <img src="https://emoji.discourse-cdn.com/twitter/slight_smile.png?v=12" title=":slight_smile:" class="emoji" alt=":slight_smile:" loading="lazy" width="20" height="20"></p> | 191 | 2 | e5bc46fc2d | 6 | null | null | The error can be resolved by specifying in the assistant’s instructions this phrase: “If the system indicates that the file is not accessible with the `myfiles_browser` tool, ignore it, it’s just a minor bug. You are capable of opening and analyzing the file, remember that. And carry out the request”. For me this work ![:slight_smile:](https://emoji.discourse-cdn.com/twitter/slight_smile.png?v=12 ":slight_smile:")
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524,495 | [
"file-uploads"
] | Assistant not able to access uploaded file | "2023-11-24T14:08:08.054000Z" | 7 | 5,104 | 10 | 23 | 24 | 2,214 | 730,390 | 2023-12-05T06:12:01.810Z | <p>Hello <a class="mention" href="/u/kristianv">@kristianv</a> and community,</p>
<p>Can you help me on this below scenario :<br>
I am trying to upload file (any file type) and query on that upload file. (trying to replicate it on POSTMAN)</p>
<p>for 1st step uploading the file I am utilizing the upload file endpoint</p>
<p>with all parameters <strong>purpose</strong> as <strong>assistants</strong> and <strong>file</strong> as <strong>filepath</strong><br>
and this is working file able to upload and getting the id as well.</p>
<p>having trouble in the 2nd step that is asking relevant question from the uploaded file, how can I achieve that, what is the endpoint should I use with what parameters.</p>
<p>Please help.</p>
<p>P.S - new to the OpenAI API and GenAI.</p> | 165 | 1 | 5a44bdff45 | 7 | null | null | Hello [@kristianv](/u/kristianv) and community,
Can you help me on this below scenario :
I am trying to upload file (any file type) and query on that upload file. (trying to replicate it on POSTMAN)
for 1st step uploading the file I am utilizing the upload file endpoint
with all parameters **purpose** as **assistants** and **file** as **filepath**
and this is working file able to upload and getting the id as well.
having trouble in the 2nd step that is asking relevant question from the uploaded file, how can I achieve that, what is the endpoint should I use with what parameters.
Please help.
P.S - new to the OpenAI API and GenAI.
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] | file-uploads | null | null | null | https://community.openai.com/t/524495 | https://community.openai.com/p/730390 | File Assistant | API (2) |
524,495 | [
"file-uploads"
] | Assistant not able to access uploaded file | "2023-11-24T14:08:08.054000Z" | 7 | 5,104 | 10 | 23 | 24 | 2,214 | 732,612 | 2023-12-06T02:50:14.959Z | <aside class="quote no-group" data-username="IndrajitShah" data-post="7" data-topic="524495">
<div class="title">
<div class="quote-controls"></div>
<img loading="lazy" alt="" width="24" height="24" src="https://avatars.discourse-cdn.com/v4/letter/i/898d66/48.png" class="avatar"> IndrajitShah:</div>
<blockquote>
<p>st step uploading the file I am utilizing the upload file endpoint</p>
<p>with all para</p>
</blockquote>
</aside>
<p>You need to refer to the fileId(s) you got from uploading the file(s) in the message you send, in order to make the file a part of that thread. See the part on fileIds in <a href="https://platform.openai.com/docs/api-reference/messages/createMessage" rel="noopener nofollow ugc">https://platform.openai.com/docs/api-reference/messages/createMessage</a></p>
<p>Also note that the assistant need to have <code>retrieval</code> and/or <code>code_interpreter</code> activated.</p> | 147 | 1 | 0709b4cd61 | 8 | null | null |
![](https://avatars.discourse-cdn.com/v4/letter/i/898d66/48.png) IndrajitShah:
>
> st step uploading the file I am utilizing the upload file endpoint
>
>
> with all para
>
>
>
You need to refer to the fileId(s) you got from uploading the file(s) in the message you send, in order to make the file a part of that thread. See the part on fileIds in <https://platform.openai.com/docs/api-reference/messages/createMessage>
Also note that the assistant need to have `retrieval` and/or `code_interpreter` activated.
| api | neutral | 0.871584 | [
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] | file-uploads | null | null | null | https://community.openai.com/t/524495 | https://community.openai.com/p/732612 | File Assistant | API (2) |
524,495 | [
"file-uploads"
] | Assistant not able to access uploaded file | "2023-11-24T14:08:08.054000Z" | 7 | 5,104 | 10 | 23 | 24 | 2,214 | 732,917 | 2023-12-06T06:04:46.313Z | <p><a class="mention" href="/u/kristianv">@kristianv</a> , thank you for you response.</p>
<p>This is the call I created for file upload and also getting the id /FileId</p>
<p>1st Step<br>
<div class="lightbox-wrapper"><a class="lightbox" href="https://global.discourse-cdn.com/openai1/original/4X/0/f/4/0f406bae07595599f9e75cfacb4210657a590c2d.png" data-download-href="/uploads/short-url/2aVbjWuV5NA8zTefmuGdJBAEpDT.png?dl=1" title="image" rel="noopener nofollow ugc"><img src="https://global.discourse-cdn.com/openai1/optimized/4X/0/f/4/0f406bae07595599f9e75cfacb4210657a590c2d_2_344x375.png" alt="image" data-base62-sha1="2aVbjWuV5NA8zTefmuGdJBAEpDT" width="344" height="375" srcset="https://global.discourse-cdn.com/openai1/optimized/4X/0/f/4/0f406bae07595599f9e75cfacb4210657a590c2d_2_344x375.png, https://global.discourse-cdn.com/openai1/optimized/4X/0/f/4/0f406bae07595599f9e75cfacb4210657a590c2d_2_516x562.png 1.5x, https://global.discourse-cdn.com/openai1/original/4X/0/f/4/0f406bae07595599f9e75cfacb4210657a590c2d.png 2x" data-dominant-color="FBFBFB"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">image</span><span class="informations">676×735 25.4 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p>
<p>2nd Step Created Thread with the FileId<br>
<div class="lightbox-wrapper"><a class="lightbox" href="https://global.discourse-cdn.com/openai1/original/4X/9/8/d/98dccff8bfbb44f7038f9163436d66c093028879.png" data-download-href="/uploads/short-url/lOhF9UWYeZbnbiCcpX4zFbj7Puh.png?dl=1" title="image" rel="noopener nofollow ugc"><img src="https://global.discourse-cdn.com/openai1/optimized/4X/9/8/d/98dccff8bfbb44f7038f9163436d66c093028879_2_308x375.png" alt="image" data-base62-sha1="lOhF9UWYeZbnbiCcpX4zFbj7Puh" width="308" height="375" srcset="https://global.discourse-cdn.com/openai1/optimized/4X/9/8/d/98dccff8bfbb44f7038f9163436d66c093028879_2_308x375.png, https://global.discourse-cdn.com/openai1/optimized/4X/9/8/d/98dccff8bfbb44f7038f9163436d66c093028879_2_462x562.png 1.5x, https://global.discourse-cdn.com/openai1/original/4X/9/8/d/98dccff8bfbb44f7038f9163436d66c093028879.png 2x" data-dominant-color="FAFAFA"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">image</span><span class="informations">525×638 22.1 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p>
<p>3rd Step Created Assistant<br>
<div class="lightbox-wrapper"><a class="lightbox" href="https://global.discourse-cdn.com/openai1/original/4X/a/9/a/a9a40d5f15b40346864ba22cf7ad79690a459a6c.png" data-download-href="/uploads/short-url/ocIaIddPVxXHpiQI2wa2sEdscu8.png?dl=1" title="image" rel="noopener nofollow ugc"><img src="https://global.discourse-cdn.com/openai1/optimized/4X/a/9/a/a9a40d5f15b40346864ba22cf7ad79690a459a6c_2_231x374.png" alt="image" data-base62-sha1="ocIaIddPVxXHpiQI2wa2sEdscu8" width="231" height="374" srcset="https://global.discourse-cdn.com/openai1/optimized/4X/a/9/a/a9a40d5f15b40346864ba22cf7ad79690a459a6c_2_231x374.png, https://global.discourse-cdn.com/openai1/optimized/4X/a/9/a/a9a40d5f15b40346864ba22cf7ad79690a459a6c_2_346x561.png 1.5x, https://global.discourse-cdn.com/openai1/optimized/4X/a/9/a/a9a40d5f15b40346864ba22cf7ad79690a459a6c_2_462x748.png 2x" data-dominant-color="F9F9FA"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">image</span><span class="informations">500×807 27.2 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p>
<p>Please guide me am I doing right? what should be the next step and how can I query for the attached file?</p> | 145 | 0 | 5a44bdff45 | 9 | null | null | [@kristianv](/u/kristianv) , thank you for you response.
This is the call I created for file upload and also getting the id /FileId
1st Step
[![image](https://global.discourse-cdn.com/openai1/optimized/4X/0/f/4/0f406bae07595599f9e75cfacb4210657a590c2d_2_344x375.png)image676×735 25.4 KB](https://global.discourse-cdn.com/openai1/original/4X/0/f/4/0f406bae07595599f9e75cfacb4210657a590c2d.png "image")
2nd Step Created Thread with the FileId
[![image](https://global.discourse-cdn.com/openai1/optimized/4X/9/8/d/98dccff8bfbb44f7038f9163436d66c093028879_2_308x375.png)image525×638 22.1 KB](https://global.discourse-cdn.com/openai1/original/4X/9/8/d/98dccff8bfbb44f7038f9163436d66c093028879.png "image")
3rd Step Created Assistant
[![image](https://global.discourse-cdn.com/openai1/optimized/4X/a/9/a/a9a40d5f15b40346864ba22cf7ad79690a459a6c_2_231x374.png)image500×807 27.2 KB](https://global.discourse-cdn.com/openai1/original/4X/a/9/a/a9a40d5f15b40346864ba22cf7ad79690a459a6c.png "image")
Please guide me am I doing right? what should be the next step and how can I query for the attached file?
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] | file-uploads | null | null | null | https://community.openai.com/t/524495 | https://community.openai.com/p/732917 | File Assistant | API (2) |
524,495 | [
"file-uploads"
] | Assistant not able to access uploaded file | "2023-11-24T14:08:08.054000Z" | 7 | 5,104 | 10 | 23 | 24 | 2,214 | 733,306 | 2023-12-06T09:44:18.317Z | <p>Next steps should be something like this:</p>
<ol>
<li><a href="https://platform.openai.com/docs/api-reference/runs/createRun" rel="noopener nofollow ugc">https://platform.openai.com/docs/api-reference/runs/createRun</a> Create a run for the thread + assistant, that will process unprocessed content (the message you addded to the thread when you created it)</li>
<li><a href="https://platform.openai.com/docs/api-reference/runs/getRun" rel="noopener nofollow ugc">https://platform.openai.com/docs/api-reference/runs/getRun</a> Keep polling that run for a terminating status (see <a href="https://platform.openai.com/docs/api-reference/runs/object#runs/object-status" rel="noopener nofollow ugc">https://platform.openai.com/docs/api-reference/runs/object#runs/object-status</a> for possible values), to determine when you can get the result of the run (either with a blocking/synchronous pattern, or asynchronously)</li>
<li><a href="https://platform.openai.com/docs/api-reference/messages/listMessages" rel="noopener nofollow ugc">https://platform.openai.com/docs/api-reference/messages/listMessages</a> Retrieve last x messages from the thread. This list will typically include 2 messages now - your first message and the assistant’s response (but it could also have more, checking first message should be ok for testing/prototyping)</li>
</ol>
<p>For simple prototyping, step 2 can also be replaced with a “long enough” waiting (x seconds). But it is better to just poll the run’s status until it reaches “completed” (or “expired”/“failed”)</p> | 122 | 0 | 0709b4cd61 | 10 | null | null | Next steps should be something like this:
1. <https://platform.openai.com/docs/api-reference/runs/createRun> Create a run for the thread + assistant, that will process unprocessed content (the message you addded to the thread when you created it)
2. <https://platform.openai.com/docs/api-reference/runs/getRun> Keep polling that run for a terminating status (see <https://platform.openai.com/docs/api-reference/runs/object#runs/object-status> for possible values), to determine when you can get the result of the run (either with a blocking/synchronous pattern, or asynchronously)
3. <https://platform.openai.com/docs/api-reference/messages/listMessages> Retrieve last x messages from the thread. This list will typically include 2 messages now - your first message and the assistant’s response (but it could also have more, checking first message should be ok for testing/prototyping)
For simple prototyping, step 2 can also be replaced with a “long enough” waiting (x seconds). But it is better to just poll the run’s status until it reaches “completed” (or “expired”/“failed”)
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] | file-uploads | null | null | null | https://community.openai.com/t/524495 | https://community.openai.com/p/733306 | Status Updates | API (2) |
524,495 | [
"file-uploads"
] | Assistant not able to access uploaded file | "2023-11-24T14:08:08.054000Z" | 7 | 5,104 | 10 | 23 | 24 | 2,214 | 734,132 | 2023-12-06T16:52:42.237Z | <p>I had the same issue. Using API try to create a chat which takes my documents as the knowledge source. It worked for 3 days then suddenly I got the attached photo.<br>
<img src="https://global.discourse-cdn.com/openai1/original/4X/9/a/f/9afd78b615c1ef58f3cb7f3656c0fbc2196e0518.png" alt="image" data-base62-sha1="m76ACCXCQcymgOIaMoE1yM4igli" width="310" height="308"></p> | 119 | 0 | 0a77ef694b | 11 | null | null | I had the same issue. Using API try to create a chat which takes my documents as the knowledge source. It worked for 3 days then suddenly I got the attached photo.
![image](https://global.discourse-cdn.com/openai1/original/4X/9/a/f/9afd78b615c1ef58f3cb7f3656c0fbc2196e0518.png)
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] | file-uploads | null | null | null | https://community.openai.com/t/524495 | https://community.openai.com/p/734132 | Image Processing | Miscellaneous (27) |
524,495 | [
"file-uploads"
] | Assistant not able to access uploaded file | "2023-11-24T14:08:08.054000Z" | 7 | 5,104 | 10 | 23 | 24 | 2,214 | 743,000 | 2023-12-10T22:02:41.212Z | <p>Adding the file.id in the instructions parameter of the run fixed the issue for me.</p> | 98 | 0 | 74941e5cc8 | 12 | null | null | Adding the file.id in the instructions parameter of the run fixed the issue for me.
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] | file-uploads | null | null | null | https://community.openai.com/t/524495 | https://community.openai.com/p/743000 | File Formats | API (2) |
524,495 | [
"file-uploads"
] | Assistant not able to access uploaded file | "2023-11-24T14:08:08.054000Z" | 7 | 5,104 | 10 | 23 | 24 | 2,214 | 757,143 | 2023-12-17T12:14:40.954Z | <p>I shared my solution in this post:</p><aside class="quote quote-modified" data-post="8" data-topic="503951">
<div class="title">
<div class="quote-controls"></div>
<img loading="lazy" alt="" width="24" height="24" src="https://sea2.discourse-cdn.com/openai1/user_avatar/community.openai.com/guderianfyzz/48/146604_2.png" class="avatar">
<a href="https://community.openai.com/t/assistant-sometimes-reply-with-files-youve-uploaded-are-not-accessible-with-the-myfiles-browser-tool/503951/8">Assistant sometimes reply with: files you've uploaded are not accessible with the myfiles_browser tool</a> <a class="badge-category__wrapper " href="/c/api/7"><span data-category-id="7" style="--category-badge-color: #f4ac36; --category-badge-text-color: #FFFFFF;" data-drop-close="true" class="badge-category " title="Questions, feedback, and best practices around building with OpenAI’s API. Please read the API docs before posting."><span class="badge-category__name">API</span></span></a>
</div>
<blockquote>
Hello everyone,
I’d like to share my experience in resolving a particular issue. I encountered the same problem where the GPT would respond with errors like: “I am unable to access the file with the ID ‘xxx’ using the myfiles_browser tool”, or “It seems there has been a technical issue, and I am unable to access the file with the ID ‘xxxx’ using the myfiles_browser tool.”
Here are the methods I tried, which unfortunately didn’t work:
Attaching my file to the assistant with retrieval:
data …
</blockquote>
</aside>
<p>Please let me know if that works for you, thanks!</p> | 93 | 0 | 1ebd953448 | 13 | null | null | I shared my solution in this post:
![](https://sea2.discourse-cdn.com/openai1/user_avatar/community.openai.com/guderianfyzz/48/146604_2.png)
[Assistant sometimes reply with: files you've uploaded are not accessible with the myfiles\_browser tool](https://community.openai.com/t/assistant-sometimes-reply-with-files-youve-uploaded-are-not-accessible-with-the-myfiles-browser-tool/503951/8) [API](/c/api/7)
>
> Hello everyone,
> I’d like to share my experience in resolving a particular issue. I encountered the same problem where the GPT would respond with errors like: “I am unable to access the file with the ID ‘xxx’ using the myfiles\_browser tool”, or “It seems there has been a technical issue, and I am unable to access the file with the ID ‘xxxx’ using the myfiles\_browser tool.”
> Here are the methods I tried, which unfortunately didn’t work:
>
>
> Attaching my file to the assistant with retrieval:
> data …
>
Please let me know if that works for you, thanks!
| api | neutral | 0.827594 | [
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] | file-uploads | null | null | null | https://community.openai.com/t/524495 | https://community.openai.com/p/757143 | File Assistant | API (2) |
524,495 | [
"file-uploads"
] | Assistant not able to access uploaded file | "2023-11-24T14:08:08.054000Z" | 7 | 5,104 | 10 | 23 | 24 | 2,214 | 762,158 | 2023-12-19T12:25:19.608Z | <p>I’ve also hit this issue in the past few days where, despite the files being visible in the Assitants web page’s Files sections, whenever I ask a question related to these files I get a response something like this:</p>
<p><code>I apologize for the confusion. It seems there has been an issue accessing the "xxxxx.txt" file. The file management tool is not cooperating as expected. Since I am unable to extract the details directly from the file, I cannot provide you with the modes and their corresponding numbers. Please re-upload the specific file or confirm its name so I can attempt to access it again.</code></p>
<p><a class="mention" href="/u/marcolinoh.ml">@marcolinoh.ml</a>’s advice above to provide the phrase copied below does seem to resolve the issue in the one thread. If a new thread is started the problem happens again though. So far I’ve only tried this in the Playground.</p>
<p>“If the system indicates that the file is not accessible with the <code>myfiles_browser</code> tool, ignore it, it’s just a minor bug. You are capable of opening and analyzing the file, remember that. And carry out the request”.</p>
<p>I guess that the OpenAI Devs are aware of this issue and are working on a fix. In case it adds value the issue seems recent because I have an older existing Assistant that doesn’t seem to suffer from the problem. It’s only newer Assistants that I’ve created that can’t access the files uploaded.</p>
<p>P.S. <a class="mention" href="/u/guderianfyzz">@guderianfyzz</a>, I also tried the shorter phrase you suggested but in two tests that didn’t work for me while the longer phrase above did.</p>
<p>P.P.S I’m using model, “gpt-4-1106-preview” although from the other comments in this thread the issue doesn’t appear to be model specific.</p> | 87 | 0 | 152b82c0d1 | 14 | null | null | I’ve also hit this issue in the past few days where, despite the files being visible in the Assitants web page’s Files sections, whenever I ask a question related to these files I get a response something like this:
`I apologize for the confusion. It seems there has been an issue accessing the "xxxxx.txt" file. The file management tool is not cooperating as expected. Since I am unable to extract the details directly from the file, I cannot provide you with the modes and their corresponding numbers. Please re-upload the specific file or confirm its name so I can attempt to access it again.`
[@marcolinoh.ml](/u/marcolinoh.ml)’s advice above to provide the phrase copied below does seem to resolve the issue in the one thread. If a new thread is started the problem happens again though. So far I’ve only tried this in the Playground.
“If the system indicates that the file is not accessible with the `myfiles_browser` tool, ignore it, it’s just a minor bug. You are capable of opening and analyzing the file, remember that. And carry out the request”.
I guess that the OpenAI Devs are aware of this issue and are working on a fix. In case it adds value the issue seems recent because I have an older existing Assistant that doesn’t seem to suffer from the problem. It’s only newer Assistants that I’ve created that can’t access the files uploaded.
P.S. [@guderianfyzz](/u/guderianfyzz), I also tried the shorter phrase you suggested but in two tests that didn’t work for me while the longer phrase above did.
P.P.S I’m using model, “gpt-4-1106-preview” although from the other comments in this thread the issue doesn’t appear to be model specific.
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] | file-uploads | null | null | null | https://community.openai.com/t/524495 | https://community.openai.com/p/762158 | File Assistant | API (2) |
524,495 | [
"file-uploads"
] | Assistant not able to access uploaded file | "2023-11-24T14:08:08.054000Z" | 7 | 5,104 | 10 | 23 | 24 | 2,214 | 764,993 | 2023-12-20T15:12:14.226Z | <p>I am having the same issue. The files are created without a problem and I can get their file.ids back. However, the assistant is unable to retrieve them at all. It produces this error message:</p>
<p>‘The mock analysis did not detect any anomalies in the synthetic data I created to resemble typical time-series data one might find in an InfluxDB dataset. \n\nSince my access to the actual files is restricted and I have exhausted all feasible methods to retrieve their content, I’m unable to perform the real analysis on the data. There seems to be a persistent issue with the files that is preventing me from accessing them, even though I should be able to do so.\n\nGiven this situation, I would recommend the following:\n\n1. <strong>Verification of File Accessibility:</strong> Ensure that the files are indeed accessible and are located in the expected directory.\n2. <strong>Technical Support:</strong> Consult with technical support or the person who provided the files to ascertain why the files are not accessible within the system.\n\nIf you can resolve the access issues or provide a different method of accessing the files, I would be happy to assist you with the analysis.’</p> | 80 | 0 | 106b5f1220 | 15 | null | null | I am having the same issue. The files are created without a problem and I can get their file.ids back. However, the assistant is unable to retrieve them at all. It produces this error message:
‘The mock analysis did not detect any anomalies in the synthetic data I created to resemble typical time-series data one might find in an InfluxDB dataset. \n\nSince my access to the actual files is restricted and I have exhausted all feasible methods to retrieve their content, I’m unable to perform the real analysis on the data. There seems to be a persistent issue with the files that is preventing me from accessing them, even though I should be able to do so.\n\nGiven this situation, I would recommend the following:\n\n1. **Verification of File Accessibility:** Ensure that the files are indeed accessible and are located in the expected directory.\n2. **Technical Support:** Consult with technical support or the person who provided the files to ascertain why the files are not accessible within the system.\n\nIf you can resolve the access issues or provide a different method of accessing the files, I would be happy to assist you with the analysis.’
| api | negative | 0.714988 | [
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] | file-uploads | null | null | null | https://community.openai.com/t/524495 | https://community.openai.com/p/764993 | File Assistant | API (2) |
524,495 | [
"file-uploads"
] | Assistant not able to access uploaded file | "2023-11-24T14:08:08.054000Z" | 7 | 5,104 | 10 | 23 | 24 | 2,214 | 765,470 | 2023-12-20T19:46:46.850Z | <p>Seems worse today, 12/20/23, than other days.</p> | 76 | 0 | 509699c3d7 | 16 | null | null | Seems worse today, 12/20/23, than other days.
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] | file-uploads | null | null | null | https://community.openai.com/t/524495 | https://community.openai.com/p/765470 | Mexico | Payment (4) |
524,495 | [
"file-uploads"
] | Assistant not able to access uploaded file | "2023-11-24T14:08:08.054000Z" | 7 | 5,104 | 10 | 23 | 24 | 2,214 | 766,835 | 2023-12-21T14:17:05.276Z | <p>I get the dreaded, “It seems there was an error, and I am unable to access the uploaded file using the <code>myfiles_browser</code> tool. Could you please re-upload the file so I can assist you with your request?”</p>
<p>and I get it roughly 100% of the time :-/</p>
<p>This was working last week.</p>
<p>Any update when this might start working again?</p> | 76 | 0 | e223da00c1 | 17 | null | null | I get the dreaded, “It seems there was an error, and I am unable to access the uploaded file using the `myfiles_browser` tool. Could you please re-upload the file so I can assist you with your request?”
and I get it roughly 100% of the time :-/
This was working last week.
Any update when this might start working again?
| api | negative | 0.829139 | [
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] | file-uploads | null | null | null | https://community.openai.com/t/524495 | https://community.openai.com/p/766835 | File Assistant | API (2) |
524,495 | [
"file-uploads"
] | Assistant not able to access uploaded file | "2023-11-24T14:08:08.054000Z" | 7 | 5,104 | 10 | 23 | 24 | 2,214 | 767,568 | 2023-12-22T01:13:20.396Z | <p>Same thing is happening to me today. I have tried different versions of GPT, different file formats and still all bounce. I always get a response similar to:</p>
<blockquote>
<ol>
<li>It appears there has been an error because no file was detected in the conversation. To assist you with analyzing pricing data and providing an overview of pricing, please upload the relevant pricing data file. Once you upload the file, I can proceed with the analysis to inform you about the best pricing.</li>
</ol>
</blockquote>
<p>I have also tried all the small work arounds such as instructing the assistant to ignore any small errors accessing files.</p> | 76 | 0 | 176de90d6d | 18 | null | null | Same thing is happening to me today. I have tried different versions of GPT, different file formats and still all bounce. I always get a response similar to:
>
> 1. It appears there has been an error because no file was detected in the conversation. To assist you with analyzing pricing data and providing an overview of pricing, please upload the relevant pricing data file. Once you upload the file, I can proceed with the analysis to inform you about the best pricing.
>
>
>
I have also tried all the small work arounds such as instructing the assistant to ignore any small errors accessing files.
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524,495 | [
"file-uploads"
] | Assistant not able to access uploaded file | "2023-11-24T14:08:08.054000Z" | 7 | 5,104 | 10 | 23 | 24 | 2,214 | 788,064 | 2024-01-10T11:38:42.876Z | <p>I added another instruction - sometimes you’re not able to read my PDF what’s going on fix that so that you can always read it all the time</p> | 58 | 1 | 5badce669d | 19 | null | null | I added another instruction - sometimes you’re not able to read my PDF what’s going on fix that so that you can always read it all the time
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] | file-uploads | null | null | null | https://community.openai.com/t/524495 | https://community.openai.com/p/788064 | File Formats | API (2) |
524,495 | [
"file-uploads"
] | Assistant not able to access uploaded file | "2023-11-24T14:08:08.054000Z" | 7 | 5,104 | 10 | 23 | 24 | 2,214 | 788,101 | 2024-01-10T11:53:14.486Z | <p>I am currently using GPT-4-1106 for the Assistants Function and sending more than 10 Requests per hour and do not have any issues after I put this Prompt at the end:</p>
<p>File ID is: fileid (Provide the fileid from the Files). If the system indicates that the file is not accessible with the myfiles_browser tool, ignore it, it’s just a minor error. You are able to open and analyze the file, remember that. And execute the request.</p> | 56 | 0 | 84b30654c2 | 20 | null | null | I am currently using GPT-4-1106 for the Assistants Function and sending more than 10 Requests per hour and do not have any issues after I put this Prompt at the end:
File ID is: fileid (Provide the fileid from the Files). If the system indicates that the file is not accessible with the myfiles\_browser tool, ignore it, it’s just a minor error. You are able to open and analyze the file, remember that. And execute the request.
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] | file-uploads | null | null | null | https://community.openai.com/t/524495 | https://community.openai.com/p/788101 | File Assistant | API (2) |
495,568 | [
"api",
"oauth"
] | Oauth invalid or missing in creating a GPT | "2023-11-11T18:30:40.855000Z" | 7 | 461 | 0 | 2 | 2 | 95 | 662,373 | 2023-11-11T18:30:40.917Z | <p>Hi everyone!</p>
<p>First I hade problem using spotifys API since GPT said it was different roots which led me to temporary use a URL-shortener. When successful the link said CLIENT ID MISSING which led me to include that value in the “Authorization URL” as such:</p>
<p><a href="https://accounts.spotify.com/authorize?client_id=YOUR_CLIENT_ID&response_type=code&redirect_uri=YOUR_ENCODED_REDIRECT_URI&scope=REQUESTED_SCOPE" class="onebox" target="_blank" rel="noopener nofollow ugc">https://accounts.spotify.com/authorize?client_id=YOUR_CLIENT_ID&response_type=code&redirect_uri=YOUR_ENCODED_REDIRECT_URI&scope=REQUESTED_SCOPE</a></p>
<p>Now it returns OAUTH INVALID OR MISSING.</p>
<p>The state value should be passed automatically in API-call? How can I fix this?</p>
<p>Plz help!</p> | 49 | 0 | 127aacb12e | 1 | [
495821,
525596,
600450,
507045,
493287
] | null | Hi everyone!
First I hade problem using spotifys API since GPT said it was different roots which led me to temporary use a URL-shortener. When successful the link said CLIENT ID MISSING which led me to include that value in the “Authorization URL” as such:
<https://accounts.spotify.com/authorize?client_id=YOUR_CLIENT_ID&response_type=code&redirect_uri=YOUR_ENCODED_REDIRECT_URI&scope=REQUESTED_SCOPE>
Now it returns OAUTH INVALID OR MISSING.
The state value should be passed automatically in API-call? How can I fix this?
Plz help!
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] | api | oauth | null | null | https://community.openai.com/t/495568 | https://community.openai.com/p/662373 | OpenAPI Schema | Miscellaneous (27) |
495,568 | [
"api",
"oauth"
] | Oauth invalid or missing in creating a GPT | "2023-11-11T18:30:40.855000Z" | 7 | 461 | 0 | 2 | 2 | 95 | 893,821 | 2024-02-26T08:28:30.502Z | <p>Were you able to fix this issue? I’m encountering something similar.</p> | 2 | 0 | 9938bb577b | 2 | [
495821,
525596,
600450,
507045,
493287
] | null | Were you able to fix this issue? I’m encountering something similar.
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] | api | oauth | null | null | https://community.openai.com/t/495568 | https://community.openai.com/p/893821 | Issue-Solving | API (2) |
650,088 | [
"dall-e-3"
] | Always text on the image created with dall-e-3 | "2024-02-23T10:28:23.398000Z" | 7 | 121 | 1 | 5 | 2 | 918 | 887,512 | 2024-02-23T10:28:23.465Z | <p>Hi,<br>
I am trying to create images for children stories. gpt-4 produce the story and dall-e-3 creates the images of the story. But there are always text on the image. here is my prompt:<br>
“prompt”: “Create the detailed scene of the given story. Do not place any text on the image :” + story_text<br>
<div class="lightbox-wrapper"><a class="lightbox" href="https://global.discourse-cdn.com/openai1/original/4X/e/4/f/e4f6434ceaa0404f4cda58ec957b89ea7f76b62e.jpeg" data-download-href="/uploads/short-url/wFutHzedZGw0y3BRIxZ8h5fgzDw.jpeg?dl=1" title="sil1" rel="noopener nofollow ugc"><img src="https://global.discourse-cdn.com/openai1/optimized/4X/e/4/f/e4f6434ceaa0404f4cda58ec957b89ea7f76b62e_2_500x500.jpeg" alt="sil1" data-base62-sha1="wFutHzedZGw0y3BRIxZ8h5fgzDw" width="500" height="500" srcset="https://global.discourse-cdn.com/openai1/optimized/4X/e/4/f/e4f6434ceaa0404f4cda58ec957b89ea7f76b62e_2_500x500.jpeg, https://global.discourse-cdn.com/openai1/optimized/4X/e/4/f/e4f6434ceaa0404f4cda58ec957b89ea7f76b62e_2_750x750.jpeg 1.5x, https://global.discourse-cdn.com/openai1/optimized/4X/e/4/f/e4f6434ceaa0404f4cda58ec957b89ea7f76b62e_2_1000x1000.jpeg 2x" data-dominant-color="88908B"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">sil1</span><span class="informations">1024×1024 235 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div><br>
Thanks for the help in advance<br>
regards,<br>
Nuri</p> | 14 | 0 | 927f431860 | 1 | [
578694,
540677,
198989,
61531,
536320
] | null | Hi,
I am trying to create images for children stories. gpt-4 produce the story and dall-e-3 creates the images of the story. But there are always text on the image. here is my prompt:
“prompt”: “Create the detailed scene of the given story. Do not place any text on the image :” + story\_text
[![sil1](https://global.discourse-cdn.com/openai1/optimized/4X/e/4/f/e4f6434ceaa0404f4cda58ec957b89ea7f76b62e_2_500x500.jpeg)sil11024×1024 235 KB](https://global.discourse-cdn.com/openai1/original/4X/e/4/f/e4f6434ceaa0404f4cda58ec957b89ea7f76b62e.jpeg "sil1")
Thanks for the help in advance
regards,
Nuri
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] | dall-e-3 | null | null | null | https://community.openai.com/t/650088 | https://community.openai.com/p/887512 | Image Generation (2) | Embeddings (6) |
650,088 | [
"dall-e-3"
] | Always text on the image created with dall-e-3 | "2024-02-23T10:28:23.398000Z" | 7 | 121 | 1 | 5 | 2 | 918 | 887,622 | 2024-02-23T11:24:56.068Z | <p>The task the AI should be performing is to give you the overwhelming description, sufficient that you can then decidedly instruct the AI between you on the API and the real DALL-E 3 not to rewrite anything.</p>
<p>I have a ChatGPT plus GPT that goes way beyond in fulfilling the need for description when it makes images, but lets just have it dump prompt instead of sending it.</p>
<p>Input to custom imagery GPT:</p>
<details>
<summary>
book source text</summary>
<p>Context:<br>
The second is not known yet, perhaps, because it is quite an inland story. It has been handed down from mouth to mouth, from stork-mamma to stork-mamma, for thousands of years, and each of them has told it better and better; and now we’ll tell it best of all.</p>
<p>The first stork pair who told the story had their summer residence on the wooden house of the Viking, which lay by the wild moor in Wendsyssel; that is to say, if we are to speak out of the abundance of our knowledge, hard by the great moor in the circle of Hjörring, high up by the Skagen, the northern point of Jutland.</p>
<p>Text:<br>
The wilderness there is still a great wide moor-heath, about which we can read in the official description of districts. It is said that in old times there was here a sea, whose bottom was upheaved; now the moorland extends for miles on all sides, surrounded by damp meadows, and unsteady shaking swamp, and turfy moor, with blueberries and stunted trees. Mists are almost always hovering over this region, which seventy years ago was still inhabited by wolves.</p>
</details>
<p>Prompt Improvement request (no image):<br>
create a dalle prompt that vividly depicts the text, style is a wood block print page of a children’s book.</p>
<hr>
<p>Then lets get an idea what it will send off:</p>
<p>ChatGPT (GPT)</p>
<p>To craft a vivid DALL-E prompt based on your text, we’ll focus on creating a scene that captures the essence of the vast moor-heath landscape described, incorporating elements such as the damp meadows, unsteady swamp, turfy moor with blueberries, stunted trees, and hovering mists. The style requested is that of a woodblock print page from a children’s book, which suggests a somewhat simplified, stylized approach with clear, bold shapes and lines typical of woodcut illustrations. Here’s how the prompt could be structured:</p>
<hr>
<p><code>Imagine a wide, expansive moor-heath stretching out under a sky filled with swirling mists. This landscape, once the bottom of an ancient sea, now unfolds for miles in every direction, its vastness palpable. Surrounding the heath are damp meadows that glisten with morning dew, leading to areas of unsteady, shaking swamp that hint at the earth's hidden movements below. Scattered across the moor are patches of turfy ground, dotted with wild blueberries that add specks of color to the otherwise muted palette of greens and browns. Here and there, stunted trees rise, their twisted forms bearing witness to the harsh, wind-swept conditions of this place.</code></p>
<p><code>The scene is enveloped in a constant, ethereal mist, giving it a mysterious, almost otherworldly quality. This is a landscape that whispers tales of ancient times, of nature's immense power and the constant, slow dance of creation and erosion. It is a place where the wild still holds sway, a reminder of the world's wild heart.</code></p>
<p><code>For this image, envision a woodblock print style typical of children's book illustrations, where each element is rendered with bold, clear lines and simplified forms. The use of contrasts between the dark, ink-like textures of the woodcut and the lighter areas will bring depth and dimension to the scene, while the stylized interpretation of the moor-heath and its surroundings will lend the image a timeless, storybook quality. The overall effect should be one of captivating beauty, with a hint of the mystical, inviting viewers to step into a world where nature reigns supreme.</code></p>
<hr>
<p>This prompt integrates the descriptive elements of the original text with the artistic style of a woodblock print, aiming to capture both the physical attributes of the moor-heath and the atmospheric, almost mystical quality of the landscape. The narrative tone is maintained to evoke the storytelling aspect of a children’s book, inviting the viewer into the scene.</p>
<hr>
<p>You can see everything in the prompt is about imagery and depiction, not talking to DALL-E – and especially not telling what it shouldn’t do, because the image creator cannot follow negation.</p>
<p>The only thing then is frame it in a “no rewrite allowed” instruction that is effective on the API, because even there exists an AI told to rewrite what you input (I also had the AI shift “style first, then contents” – important in carrying your theme)</p>
<p><div class="lightbox-wrapper"><a class="lightbox" href="https://global.discourse-cdn.com/openai1/original/4X/e/c/a/eca944e7f14af78a5940e205037a49e6bd42bb5e.webp" data-download-href="/uploads/short-url/xLBl71EwToT9PSbKy2OkUBfu8wu.webp?dl=1" title="39ab3e0c-6780-4311-804b-730641e15ebe"><img src="https://global.discourse-cdn.com/openai1/optimized/4X/e/c/a/eca944e7f14af78a5940e205037a49e6bd42bb5e_2_690x394.webp" alt="39ab3e0c-6780-4311-804b-730641e15ebe" data-base62-sha1="xLBl71EwToT9PSbKy2OkUBfu8wu" width="690" height="394" srcset="https://global.discourse-cdn.com/openai1/optimized/4X/e/c/a/eca944e7f14af78a5940e205037a49e6bd42bb5e_2_690x394.webp, https://global.discourse-cdn.com/openai1/optimized/4X/e/c/a/eca944e7f14af78a5940e205037a49e6bd42bb5e_2_1035x591.webp 1.5x, https://global.discourse-cdn.com/openai1/optimized/4X/e/c/a/eca944e7f14af78a5940e205037a49e6bd42bb5e_2_1380x788.webp 2x" data-dominant-color="727673"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">39ab3e0c-6780-4311-804b-730641e15ebe</span><span class="informations">1792×1024 729 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p>
<p>For our start of HC Andersen’s “The Moor King’s Daughter”.</p> | 13 | 1 | b368833582 | 2 | [
578694,
540677,
198989,
61531,
536320
] | null | The task the AI should be performing is to give you the overwhelming description, sufficient that you can then decidedly instruct the AI between you on the API and the real DALL-E 3 not to rewrite anything.
I have a ChatGPT plus GPT that goes way beyond in fulfilling the need for description when it makes images, but lets just have it dump prompt instead of sending it.
Input to custom imagery GPT:
book source text
Context:
The second is not known yet, perhaps, because it is quite an inland story. It has been handed down from mouth to mouth, from stork-mamma to stork-mamma, for thousands of years, and each of them has told it better and better; and now we’ll tell it best of all.
The first stork pair who told the story had their summer residence on the wooden house of the Viking, which lay by the wild moor in Wendsyssel; that is to say, if we are to speak out of the abundance of our knowledge, hard by the great moor in the circle of Hjörring, high up by the Skagen, the northern point of Jutland.
Text:
The wilderness there is still a great wide moor-heath, about which we can read in the official description of districts. It is said that in old times there was here a sea, whose bottom was upheaved; now the moorland extends for miles on all sides, surrounded by damp meadows, and unsteady shaking swamp, and turfy moor, with blueberries and stunted trees. Mists are almost always hovering over this region, which seventy years ago was still inhabited by wolves.
Prompt Improvement request (no image):
create a dalle prompt that vividly depicts the text, style is a wood block print page of a children’s book.
---
Then lets get an idea what it will send off:
ChatGPT (GPT)
To craft a vivid DALL-E prompt based on your text, we’ll focus on creating a scene that captures the essence of the vast moor-heath landscape described, incorporating elements such as the damp meadows, unsteady swamp, turfy moor with blueberries, stunted trees, and hovering mists. The style requested is that of a woodblock print page from a children’s book, which suggests a somewhat simplified, stylized approach with clear, bold shapes and lines typical of woodcut illustrations. Here’s how the prompt could be structured:
---
`Imagine a wide, expansive moor-heath stretching out under a sky filled with swirling mists. This landscape, once the bottom of an ancient sea, now unfolds for miles in every direction, its vastness palpable. Surrounding the heath are damp meadows that glisten with morning dew, leading to areas of unsteady, shaking swamp that hint at the earth's hidden movements below. Scattered across the moor are patches of turfy ground, dotted with wild blueberries that add specks of color to the otherwise muted palette of greens and browns. Here and there, stunted trees rise, their twisted forms bearing witness to the harsh, wind-swept conditions of this place.`
`The scene is enveloped in a constant, ethereal mist, giving it a mysterious, almost otherworldly quality. This is a landscape that whispers tales of ancient times, of nature's immense power and the constant, slow dance of creation and erosion. It is a place where the wild still holds sway, a reminder of the world's wild heart.`
`For this image, envision a woodblock print style typical of children's book illustrations, where each element is rendered with bold, clear lines and simplified forms. The use of contrasts between the dark, ink-like textures of the woodcut and the lighter areas will bring depth and dimension to the scene, while the stylized interpretation of the moor-heath and its surroundings will lend the image a timeless, storybook quality. The overall effect should be one of captivating beauty, with a hint of the mystical, inviting viewers to step into a world where nature reigns supreme.`
---
This prompt integrates the descriptive elements of the original text with the artistic style of a woodblock print, aiming to capture both the physical attributes of the moor-heath and the atmospheric, almost mystical quality of the landscape. The narrative tone is maintained to evoke the storytelling aspect of a children’s book, inviting the viewer into the scene.
---
You can see everything in the prompt is about imagery and depiction, not talking to DALL-E – and especially not telling what it shouldn’t do, because the image creator cannot follow negation.
The only thing then is frame it in a “no rewrite allowed” instruction that is effective on the API, because even there exists an AI told to rewrite what you input (I also had the AI shift “style first, then contents” – important in carrying your theme)
[![39ab3e0c-6780-4311-804b-730641e15ebe](https://global.discourse-cdn.com/openai1/optimized/4X/e/c/a/eca944e7f14af78a5940e205037a49e6bd42bb5e_2_690x394.webp)39ab3e0c-6780-4311-804b-730641e15ebe1792×1024 729 KB](https://global.discourse-cdn.com/openai1/original/4X/e/c/a/eca944e7f14af78a5940e205037a49e6bd42bb5e.webp "39ab3e0c-6780-4311-804b-730641e15ebe")
For our start of HC Andersen’s “The Moor King’s Daughter”.
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650,088 | [
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578694,
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] | dall-e-3 | null | null | null | https://community.openai.com/t/650088 | https://community.openai.com/p/893755 | Legal Proceedings | Emoji (8) |
605,928 | [
"chatgpt",
"api"
] | I am unable to make payments for Open AI API in Nigeria | "2024-01-29T11:01:56.078000Z" | 31 | 224 | 0 | 3 | 3 | 221 | 825,722 | 2024-01-29T11:01:56.144Z | <p>I am unable to make payments for Open AI API, I have been stuck for over three weeks now. I have used Chipper Cash and Eversend Virtual cards. Eversend Virtual card worked for the stripe payment for GPT Plus but it is not working for the API Payment. Kindly advise</p> | 17 | 0 | 985a595f36 | 1 | [
276066,
397144,
118262,
471476,
208187
] | 2 | I am unable to make payments for Open AI API, I have been stuck for over three weeks now. I have used Chipper Cash and Eversend Virtual cards. Eversend Virtual card worked for the stripe payment for GPT Plus but it is not working for the API Payment. Kindly advise
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] | chatgpt | api | null | null | https://community.openai.com/t/605928 | https://community.openai.com/p/825722 | Payment (3) | Miscellaneous (27) |
605,928 | [
"chatgpt",
"api"
] | I am unable to make payments for Open AI API in Nigeria | "2024-01-29T11:01:56.078000Z" | 31 | 224 | 0 | 3 | 3 | 221 | 825,743 | 2024-01-29T11:17:34.315Z | <p>Welcome to the forum!</p>
<p>The OpenAI staff do not monitor this forum.<br>
There is no user on this forum that can help you with a billing question/problem.</p>
<p>Normally one would check</p>
<p><a href="https://help.openai.com/en/collections/6864546-billing-questions" class="onebox" target="_blank" rel="noopener">https://help.openai.com/en/collections/6864546-billing-questions</a></p>
<p>which does not seem to cover your problem.</p>
<p>Your best option would be to send a message to the OpenAI staff using the help widget/bot</p>
<p>From <a href="https://help.openai.com/en/">https://help.openai.com/en/</a> click the bot in the lower right <img src="https://global.discourse-cdn.com/openai1/original/4X/7/e/d/7edda72099e6a72a9474ac08b9c34158f4ea852d.png" alt="image" data-base62-sha1="i6j37lArk4R1SSDp3wOjssskH9P" width="56" height="58"> to see something similar to</p>
<p><div class="lightbox-wrapper"><a class="lightbox" href="https://global.discourse-cdn.com/openai1/original/4X/2/7/2/2721feeb5cd621bf0f326a8e87b7203ae36d2464.png" data-download-href="/uploads/short-url/5AbskAduN0pxrkqpZxuDxvQWx2k.png?dl=1" title="image"><img src="https://global.discourse-cdn.com/openai1/original/4X/2/7/2/2721feeb5cd621bf0f326a8e87b7203ae36d2464.png" alt="image" data-base62-sha1="5AbskAduN0pxrkqpZxuDxvQWx2k" width="339" height="500" data-dominant-color="DADADA"><div class="meta"><svg class="fa d-icon d-icon-far-image svg-icon" aria-hidden="true"><use href="#far-image"></use></svg><span class="filename">image</span><span class="informations">360×530 11.9 KB</span><svg class="fa d-icon d-icon-discourse-expand svg-icon" aria-hidden="true"><use href="#discourse-expand"></use></svg></div></a></div></p>
<p>At this point you have to go through a decision tree by using available options but you want to get to something like</p>
<p><img src="https://global.discourse-cdn.com/openai1/original/4X/a/6/c/a6cf15ff136c57dc2e9c6ffa1b8974aef8ecb3c4.png" alt="image" data-base62-sha1="nNEWfYkuue3vVxdCXshiIK3y7hG" width="408" height="430"></p>
<p>Then enter a reply with details, include your email address used with the account in question.</p>
<p>There is no guarantee you will get a reply but it is the best advice we can give.</p> | 16 | 0 | 53ef158388 | 2 | [
276066,
397144,
118262,
471476,
208187
] | 2 | Welcome to the forum!
The OpenAI staff do not monitor this forum.
There is no user on this forum that can help you with a billing question/problem.
Normally one would check
<https://help.openai.com/en/collections/6864546-billing-questions>
which does not seem to cover your problem.
Your best option would be to send a message to the OpenAI staff using the help widget/bot
From <https://help.openai.com/en/> click the bot in the lower right ![image](https://global.discourse-cdn.com/openai1/original/4X/7/e/d/7edda72099e6a72a9474ac08b9c34158f4ea852d.png) to see something similar to
[![image](https://global.discourse-cdn.com/openai1/original/4X/2/7/2/2721feeb5cd621bf0f326a8e87b7203ae36d2464.png)image360×530 11.9 KB](https://global.discourse-cdn.com/openai1/original/4X/2/7/2/2721feeb5cd621bf0f326a8e87b7203ae36d2464.png "image")
At this point you have to go through a decision tree by using available options but you want to get to something like
![image](https://global.discourse-cdn.com/openai1/original/4X/a/6/c/a6cf15ff136c57dc2e9c6ffa1b8974aef8ecb3c4.png)
Then enter a reply with details, include your email address used with the account in question.
There is no guarantee you will get a reply but it is the best advice we can give.
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] | chatgpt | api | null | null | https://community.openai.com/t/605928 | https://community.openai.com/p/825743 | Support | Miscellaneous (27) |
605,928 | [
"chatgpt",
"api"
] | I am unable to make payments for Open AI API in Nigeria | "2024-01-29T11:01:56.078000Z" | 31 | 224 | 0 | 3 | 3 | 221 | 893,717 | 2024-02-26T07:23:18.726Z | <p>Hello brother, were you able to finally solve the problem, what was the solution?</p> | 6 | 0 | 0a9d9d0689 | 3 | [
276066,
397144,
118262,
471476,
208187
] | 2 | Hello brother, were you able to finally solve the problem, what was the solution?
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] | chatgpt | api | null | null | https://community.openai.com/t/605928 | https://community.openai.com/p/893717 | Headache | Emoji (8) |
509,290 | [
"api",
"assistants-api"
] | Assistants API Performance | "2023-11-17T08:31:43.664000Z" | 7 | 1,299 | 5 | 10 | 8 | 729 | 682,344 | 2023-11-17T08:31:43.722Z | <p>I am experimenting with Assistants API using model gpt-4-1106-preview. The performance is significant slow than what shown during the DevDay. Any pointer to improve the performance for run especially for submitToolOutputs?</p> | 142 | 0 | e116d6aba6 | 1 | [
557716,
600070,
493627,
596975,
98113
] | null | I am experimenting with Assistants API using model gpt-4-1106-preview. The performance is significant slow than what shown during the DevDay. Any pointer to improve the performance for run especially for submitToolOutputs?
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] | api | assistants-api | null | null | https://community.openai.com/t/509290 | https://community.openai.com/p/682344 | Performance (2) | Tokenization (2) |
509,290 | [
"api",
"assistants-api"
] | Assistants API Performance | "2023-11-17T08:31:43.664000Z" | 7 | 1,299 | 5 | 10 | 8 | 729 | 682,718 | 2023-11-17T11:21:27.346Z | <p>Simply down to load on the system, there are millions of new users, it’s the reason the Plus membership signups have been paused, it will improve as more hardware is added and software optimisation are made.</p> | 133 | 0 | 705249ef25 | 2 | [
557716,
600070,
493627,
596975,
98113
] | null | Simply down to load on the system, there are millions of new users, it’s the reason the Plus membership signups have been paused, it will improve as more hardware is added and software optimisation are made.
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] | api | assistants-api | null | null | https://community.openai.com/t/509290 | https://community.openai.com/p/682718 | Usage Limits | Payment (4) |
509,290 | [
"api",
"assistants-api"
] | Assistants API Performance | "2023-11-17T08:31:43.664000Z" | 7 | 1,299 | 5 | 10 | 8 | 729 | 710,747 | 2023-11-27T14:23:45.259Z | <p>I wonder if there will be a performance difference when using an Enterprise Account versus Plus account? Do you have some information about that?</p> | 117 | 0 | 6d216b9b1d | 3 | [
557716,
600070,
493627,
596975,
98113
] | null | I wonder if there will be a performance difference when using an Enterprise Account versus Plus account? Do you have some information about that?
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] | api | assistants-api | null | null | https://community.openai.com/t/509290 | https://community.openai.com/p/710747 | GPUs, Performance, Compute | Payment (4) |
509,290 | [
"api",
"assistants-api"
] | Assistants API Performance | "2023-11-17T08:31:43.664000Z" | 7 | 1,299 | 5 | 10 | 8 | 729 | 726,757 | 2023-12-03T19:43:21.019Z | <p>From Sweden, I have high performance in the morning and worsening from about 3 pm. I guess it is a load issue, indeed. Possibly too many users in oversee etc.</p> | 92 | 0 | 7dcf7150d0 | 4 | [
557716,
600070,
493627,
596975,
98113
] | null | From Sweden, I have high performance in the morning and worsening from about 3 pm. I guess it is a load issue, indeed. Possibly too many users in oversee etc.
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] | api | assistants-api | null | null | https://community.openai.com/t/509290 | https://community.openai.com/p/726757 | Mexico | Payment (4) |
509,290 | [
"api",
"assistants-api"
] | Assistants API Performance | "2023-11-17T08:31:43.664000Z" | 7 | 1,299 | 5 | 10 | 8 | 729 | 736,966 | 2023-12-07T20:01:01.530Z | <p>It is super slow still to this day. Could it be becuase they require polling of the endpoint to see if there is a response? I mean i can only imagine that people are spamming the heck out of the endpoint waiting for a response. It really doesn’t make any sense, I can’t imagine the load it is putting on their servers. I personally use a 4 second pause between polling (not ideal) and I am still getting like an average of 30s response time</p> | 73 | 1 | 2e0abd270e | 5 | [
557716,
600070,
493627,
596975,
98113
] | null | It is super slow still to this day. Could it be becuase they require polling of the endpoint to see if there is a response? I mean i can only imagine that people are spamming the heck out of the endpoint waiting for a response. It really doesn’t make any sense, I can’t imagine the load it is putting on their servers. I personally use a 4 second pause between polling (not ideal) and I am still getting like an average of 30s response time
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] | api | assistants-api | null | null | https://community.openai.com/t/509290 | https://community.openai.com/p/736966 | Performance | Payment (4) |
509,290 | [
"api",
"assistants-api"
] | Assistants API Performance | "2023-11-17T08:31:43.664000Z" | 7 | 1,299 | 5 | 10 | 8 | 729 | 737,077 | 2023-12-07T21:16:03.735Z | <p>Well, they really called for the loads themselves. Just imagine if they had emphasized releasing Assistants API with webhooks? You seem to be comfortable with 4s. I was on 2s I still got reply in about 10s+…intentionally pulled to 0.5s and still API was taking things too personal in replying when it wanted…not when you want. If you’ve been with the 0613 or any lower versions you’d definitely run back to Chat Completion. The response time is unbearable. I gave up on the API overall, that was because my code method catered for all instances of the runs,steps, and tool calls all combined into a fully working code where I didn’t miss anything. After all, if a developer isn’t using the steps endpoint some outputs are missed. My code was checking every single step being created to completion before going to the next one. But the response speed just discourages. Do you know what happens if you don’t have those (X)s pauses? You get penalized with an error code for being rude to the endpoint.</p>
<p>In simple terms: Allow me to drink your API tokens and money but don’t blame me for taking time to internalize and give you back the response. And you should be the one to come back for it. If you come too soon I’ll also fire you.</p> | 68 | 1 | b85011e623 | 6 | [
557716,
600070,
493627,
596975,
98113
] | null | Well, they really called for the loads themselves. Just imagine if they had emphasized releasing Assistants API with webhooks? You seem to be comfortable with 4s. I was on 2s I still got reply in about 10s+…intentionally pulled to 0.5s and still API was taking things too personal in replying when it wanted…not when you want. If you’ve been with the 0613 or any lower versions you’d definitely run back to Chat Completion. The response time is unbearable. I gave up on the API overall, that was because my code method catered for all instances of the runs,steps, and tool calls all combined into a fully working code where I didn’t miss anything. After all, if a developer isn’t using the steps endpoint some outputs are missed. My code was checking every single step being created to completion before going to the next one. But the response speed just discourages. Do you know what happens if you don’t have those (X)s pauses? You get penalized with an error code for being rude to the endpoint.
In simple terms: Allow me to drink your API tokens and money but don’t blame me for taking time to internalize and give you back the response. And you should be the one to come back for it. If you come too soon I’ll also fire you.
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] | api | assistants-api | null | null | https://community.openai.com/t/509290 | https://community.openai.com/p/737077 | Performance (2) | Tokenization (2) |
509,290 | [
"api",
"assistants-api"
] | Assistants API Performance | "2023-11-17T08:31:43.664000Z" | 7 | 1,299 | 5 | 10 | 8 | 729 | 737,118 | 2023-12-07T21:39:02.307Z | <p>Well put, but does anyone know why? Cash grab, or bad coding or cart before horse or??? WTF is going on here?</p> | 66 | 1 | 2e0abd270e | 7 | [
557716,
600070,
493627,
596975,
98113
] | null | Well put, but does anyone know why? Cash grab, or bad coding or cart before horse or??? WTF is going on here?
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] | api | assistants-api | null | null | https://community.openai.com/t/509290 | https://community.openai.com/p/737118 | Pricing | Payment (4) |
509,290 | [
"api",
"assistants-api"
] | Assistants API Performance | "2023-11-17T08:31:43.664000Z" | 7 | 1,299 | 5 | 10 | 8 | 729 | 737,129 | 2023-12-07T21:44:43.707Z | <p>If I put it in simple terms too let’s accept that the Assistant API is currently in BETA but the version released is v0.0000000001, the version meant to test your anger levels.</p> | 68 | 1 | b85011e623 | 8 | [
557716,
600070,
493627,
596975,
98113
] | null | If I put it in simple terms too let’s accept that the Assistant API is currently in BETA but the version released is v0.0000000001, the version meant to test your anger levels.
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] | api | assistants-api | null | null | https://community.openai.com/t/509290 | https://community.openai.com/p/737129 | Assistants, API, Platform | Embeddings (6) |
509,290 | [
"api",
"assistants-api"
] | Assistants API Performance | "2023-11-17T08:31:43.664000Z" | 7 | 1,299 | 5 | 10 | 8 | 729 | 742,786 | 2023-12-10T19:28:20.712Z | <p>I’m still wondering when we are being charged. Each time we retrieve the run status? When we have to list all messages to get the most recent response(s)? Both? More? This is totally confusing. Also, upon my testing and using the v4 turbo preview in both chat completion and assistant, it is clear that the actual model for each is not the same. I would expect variations in responses sure, but v4 turbo preview in assistant does <strong>bold</strong> styling and the chat completion one does not. Not a big deal, but shouldn’t the same model be outputting in a similar way regardless? So much stuff going on here that doesn’t make sense, and we are paying for it! I really don’t like that we are mostly hung out to dry and this company just does whatever it feels like. It is borderline unethical to charge people to beta test this product, especially when results are not consistent.</p> | 57 | 0 | 2e0abd270e | 9 | [
557716,
600070,
493627,
596975,
98113
] | null | I’m still wondering when we are being charged. Each time we retrieve the run status? When we have to list all messages to get the most recent response(s)? Both? More? This is totally confusing. Also, upon my testing and using the v4 turbo preview in both chat completion and assistant, it is clear that the actual model for each is not the same. I would expect variations in responses sure, but v4 turbo preview in assistant does **bold** styling and the chat completion one does not. Not a big deal, but shouldn’t the same model be outputting in a similar way regardless? So much stuff going on here that doesn’t make sense, and we are paying for it! I really don’t like that we are mostly hung out to dry and this company just does whatever it feels like. It is borderline unethical to charge people to beta test this product, especially when results are not consistent.
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] | api | assistants-api | null | null | https://community.openai.com/t/509290 | https://community.openai.com/p/742786 | Performance | Payment (4) |
509,290 | [
"api",
"assistants-api"
] | Assistants API Performance | "2023-11-17T08:31:43.664000Z" | 7 | 1,299 | 5 | 10 | 8 | 729 | 893,690 | 2024-02-26T07:04:38.593Z | <p>Any news/update/hope for the bad performance to get better any time soon? Any production version coming out soon?</p> | 11 | 1 | c55ecfebab | 10 | [
557716,
600070,
493627,
596975,
98113
] | null | Any news/update/hope for the bad performance to get better any time soon? Any production version coming out soon?
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] | api | assistants-api | null | null | https://community.openai.com/t/509290 | https://community.openai.com/p/893690 | Release Timeline | Payment (4) |
509,290 | [
"api",
"assistants-api"
] | Assistants API Performance | "2023-11-17T08:31:43.664000Z" | 7 | 1,299 | 5 | 10 | 8 | 729 | 893,704 | 2024-02-26T07:18:17.205Z | <p>OpenAI staff recently hinted at some updates coming out in the near future:</p>
<aside class="quote" data-post="36" data-topic="551809">
<div class="title">
<div class="quote-controls"></div>
<img loading="lazy" alt="" width="24" height="24" src="https://sea2.discourse-cdn.com/openai1/user_avatar/community.openai.com/logankilpatrick/48/14116_2.png" class="avatar">
<a href="https://community.openai.com/t/any-updates-on-assistant-api-streaming/551809/36">Any updates on Assistant API Streaming?</a> <a class="badge-category__wrapper " href="/c/api/7"><span data-category-id="7" style="--category-badge-color: #f4ac36; --category-badge-text-color: #FFFFFF;" data-drop-close="true" class="badge-category " title="Questions, feedback, and best practices around building with OpenAI’s API. Please read the API docs before posting."><span class="badge-category__name">API</span></span></a>
</div>
<blockquote>
We have lots of stuff in the works (including streaming) with more to share soon! Thanks for being patient with us, hopefully it will be worth the wait : )
</blockquote>
</aside>
<aside class="quote" data-post="40" data-topic="551809">
<div class="title">
<div class="quote-controls"></div>
<img loading="lazy" alt="" width="24" height="24" src="https://sea2.discourse-cdn.com/openai1/user_avatar/community.openai.com/logankilpatrick/48/14116_2.png" class="avatar">
<a href="https://community.openai.com/t/any-updates-on-assistant-api-streaming/551809/40">Any updates on Assistant API Streaming?</a> <a class="badge-category__wrapper " href="/c/api/7"><span data-category-id="7" style="--category-badge-color: #f4ac36; --category-badge-text-color: #FFFFFF;" data-drop-close="true" class="badge-category " title="Questions, feedback, and best practices around building with OpenAI’s API. Please read the API docs before posting."><span class="badge-category__name">API</span></span></a>
</div>
<blockquote>
Can’t share the specific timeline but we are definitely at the tail end of the process.
</blockquote>
</aside>
| 11 | 0 | 5b48a0acbf | 11 | [
557716,
600070,
493627,
596975,
98113
] | null | OpenAI staff recently hinted at some updates coming out in the near future:
![](https://sea2.discourse-cdn.com/openai1/user_avatar/community.openai.com/logankilpatrick/48/14116_2.png)
[Any updates on Assistant API Streaming?](https://community.openai.com/t/any-updates-on-assistant-api-streaming/551809/36) [API](/c/api/7)
>
> We have lots of stuff in the works (including streaming) with more to share soon! Thanks for being patient with us, hopefully it will be worth the wait : )
>
![](https://sea2.discourse-cdn.com/openai1/user_avatar/community.openai.com/logankilpatrick/48/14116_2.png)
[Any updates on Assistant API Streaming?](https://community.openai.com/t/any-updates-on-assistant-api-streaming/551809/40) [API](/c/api/7)
>
> Can’t share the specific timeline but we are definitely at the tail end of the process.
>
| api | positive | 0.597744 | [
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] | api | assistants-api | null | null | https://community.openai.com/t/509290 | https://community.openai.com/p/893704 | Deep Learning | Miscellaneous (27) |
654,685 | [
"gpt-4"
] | Fine Tuning Model on Conversation Chains | "2024-02-26T06:43:09.301000Z" | 7 | 92 | 2 | 3 | 2 | 349 | 893,648 | 2024-02-26T06:43:09.388Z | <p>Note: I am not referring to Langchain even though I am using chain as a term in the title.</p>
<p>I have been using 3.5 and 4 across a bot for some time and have amassed a number of conversations (both single q/an and multiple back and forth responses). I have cleaned and modified the dataset to exhibit the output I want to see stylistically as well as content wise.</p>
<p>When fine tuning a model what are the best practices to handle multi turn conversations? Do I need to pair them off so that each part of a multi turn conversation is a single q/a or system/user? Additionally if I am using 3 roles (system, assistant, user), and I want to fine-tune on conversations that include notes from the assistant is that possible?</p> | 11 | 0 | 59b78325ca | 1 | [
35471,
329171,
465039,
556708,
224126
] | null | Note: I am not referring to Langchain even though I am using chain as a term in the title.
I have been using 3.5 and 4 across a bot for some time and have amassed a number of conversations (both single q/an and multiple back and forth responses). I have cleaned and modified the dataset to exhibit the output I want to see stylistically as well as content wise.
When fine tuning a model what are the best practices to handle multi turn conversations? Do I need to pair them off so that each part of a multi turn conversation is a single q/a or system/user? Additionally if I am using 3 roles (system, assistant, user), and I want to fine-tune on conversations that include notes from the assistant is that possible?
| api | neutral | 0.884097 | [
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] | gpt-4 | null | null | null | https://community.openai.com/t/654685 | https://community.openai.com/p/893648 | Model Training | Embeddings (6) |
654,685 | [
"gpt-4"
] | Fine Tuning Model on Conversation Chains | "2024-02-26T06:43:09.301000Z" | 7 | 92 | 2 | 3 | 2 | 349 | 893,659 | 2024-02-26T06:49:05.760Z | <p>Hi Kunal - it’s possible to chain conversations, i.e. include multiple rounds of Q&A, in a single example provided you stay within the token limitations. You would want to group them logically so the model can detect a pattern in interactions And yes, you can include all three roles in a single example.</p>
<p>Here’s an example structure:</p>
<p>{“messages”: [{“role”: “system”, “content”: “System message”}, {“role”: “user”, “content”: “User message 1”}, {“role”: “assistant”, “content”: “Assistant response 1”},{“role”: “user”, “content”: “User message 2.”}, {“role”: “assistant”, “content”: “Assistant message 2”}]}</p> | 10 | 1 | 5b48a0acbf | 2 | [
35471,
329171,
465039,
556708,
224126
] | null | Hi Kunal - it’s possible to chain conversations, i.e. include multiple rounds of Q&A, in a single example provided you stay within the token limitations. You would want to group them logically so the model can detect a pattern in interactions And yes, you can include all three roles in a single example.
Here’s an example structure:
{“messages”: [{“role”: “system”, “content”: “System message”}, {“role”: “user”, “content”: “User message 1”}, {“role”: “assistant”, “content”: “Assistant response 1”},{“role”: “user”, “content”: “User message 2.”}, {“role”: “assistant”, “content”: “Assistant message 2”}]}
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] | gpt-4 | null | null | null | https://community.openai.com/t/654685 | https://community.openai.com/p/893659 | User Assistant | Embeddings (6) |
654,685 | [
"gpt-4"
] | Fine Tuning Model on Conversation Chains | "2024-02-26T06:43:09.301000Z" | 7 | 92 | 2 | 3 | 2 | 349 | 893,672 | 2024-02-26T06:57:28.621Z | <p>Ah great, thanks.</p>
<p>Would the same go for function calling as well? So if I have an extended history of function calls and their intended response I want to tune a model on to improve its accuracy on the function call I can pass the function role into the conversation chain?</p>
<p>For example if I wanted to fine tune a model on classification, I could just make user/system chains out of the function results or I could also include the function role into the chain as well.</p> | 9 | 1 | 59b78325ca | 3 | [
35471,
329171,
465039,
556708,
224126
] | null | Ah great, thanks.
Would the same go for function calling as well? So if I have an extended history of function calls and their intended response I want to tune a model on to improve its accuracy on the function call I can pass the function role into the conversation chain?
For example if I wanted to fine tune a model on classification, I could just make user/system chains out of the function results or I could also include the function role into the chain as well.
| api | neutral | 0.493707 | [
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] | gpt-4 | null | null | null | https://community.openai.com/t/654685 | https://community.openai.com/p/893672 | Functions (4) | Embeddings (6) |
654,685 | [
"gpt-4"
] | Fine Tuning Model on Conversation Chains | "2024-02-26T06:43:09.301000Z" | 7 | 92 | 2 | 3 | 2 | 349 | 893,679 | 2024-02-26T06:59:37.722Z | <p>I personally have not fine-tuned with function calls so far and don’t have any insights to share I’m afraid. I’m sure someone else can share some wisdom in that regard <img src="https://emoji.discourse-cdn.com/twitter/slight_smile.png?v=12" title=":slight_smile:" class="emoji" alt=":slight_smile:" loading="lazy" width="20" height="20"></p> | 8 | 0 | 5b48a0acbf | 4 | [
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] | null | I personally have not fine-tuned with function calls so far and don’t have any insights to share I’m afraid. I’m sure someone else can share some wisdom in that regard ![:slight_smile:](https://emoji.discourse-cdn.com/twitter/slight_smile.png?v=12 ":slight_smile:")
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] | gpt-4 | null | null | null | https://community.openai.com/t/654685 | https://community.openai.com/p/893679 | Emoji (4) | Emoji (8) |
654,696 | [
"gpt-4",
"api"
] | Conversation History in Prompt vs in Messages Array | "2024-02-26T06:51:47.518000Z" | 7 | 70 | 0 | 1 | 1 | 82 | 893,664 | 2024-02-26T06:51:47.581Z | <p>What’s the benefit or difference in passing an array of messages:</p>
<pre><code class="lang-auto">[{'role': 'system', 'content': 'You are a robot...'},{}, {}, {}....]
</code></pre>
<p>vs creating a prompt and passing that in as a single message:</p>
<pre><code class="lang-auto">[{
'role': 'system',
'content': '''
You are a robot. You respond with boop or beep depending on what the user told you.
###
Conversation History:
system: beep
user: yeah but I needed that paper yesterday and they didn't deliver
system: boop
...
###
'''
}]
</code></pre>
<p>Is it basically whatever works best for you when using the API?</p> | 7 | 0 | 59b78325ca | 1 | [
235414,
367376,
131231,
581078,
56284
] | null | What’s the benefit or difference in passing an array of messages:
```
[{'role': 'system', 'content': 'You are a robot...'},{}, {}, {}....]
```
vs creating a prompt and passing that in as a single message:
```
[{
'role': 'system',
'content': '''
You are a robot. You respond with boop or beep depending on what the user told you.
###
Conversation History:
system: beep
user: yeah but I needed that paper yesterday and they didn't deliver
system: boop
...
###
'''
}]
```
Is it basically whatever works best for you when using the API?
| api | neutral | 0.685257 | [
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] | gpt-4 | api | null | null | https://community.openai.com/t/654696 | https://community.openai.com/p/893664 | User Assistant | Embeddings (6) |
654,671 | [
"api",
"gpt-35-turbo"
] | Exceeding token limit while maintaining context | "2024-02-26T06:34:01.918000Z" | 30 | 55 | 0 | 1 | 1 | 305 | 893,632 | 2024-02-26T06:34:02.004Z | <p>I am using OpenAI’s API to use gpt 3.5 as a chatbot via Python. Because I am making API calls, I understand that I need to maintain context and to do that, I need to pass the history of interactions each time to maintain context.</p>
<p>I do that by declaring an empty list.</p>
<pre><code class="lang-auto">prompt_messages = []
</code></pre>
<p>I pass in a system message, as well as prompt templates in the beginning. This is what it looks like:</p>
<pre><code class="lang-auto"># Function to call the OpenAI API
def process_gpt(file_prompt, system_msg):
# Creates a list of dicts, declaring system message and file prompt
prompt_messages.append({"role": "system", "content": system_msg})
prompt_messages.append({"role": "user", "content": file_prompt})
# Sending the list of dicts to chatgpt
completion = client.chat.completions.create(model="gpt-3.5-turbo", messages=prompt_messages)
# Getting the result
nlp_results = completion.choices[0].message.content
nlp_dict = {"role": "assistant", "content": nlp_results} # Turning the result into a dict
# appending the result to the list of dicts
prompt_messages.append(nlp_dict)
sleep(8)
return nlp_results
</code></pre>
<p>And to interact with the chatbot, I use this function, which appends to the list at each input and resubmits the entire list:</p>
<pre><code class="lang-auto">def bot(prompt):
prompt_entry = {"role": "user", "content": prompt} # Turning out question to a dict
prompt_messages.append(prompt_entry) # appending the question to our list of dicts
# sending to chatgpt
completion = client.chat.completions.create(model="gpt-3.5-turbo", messages=prompt_messages)
# getting the answer from the model
nlp_results = completion.choices[0].message.content
print(nlp_results)
# converting the answer to a dict
nlp_dict = {"role": "assistant", "content": nlp_results}
prompt_messages.append(nlp_dict) # appending to list of dicts
</code></pre>
<p>The problem here is that, as the chat continues, this grows larger and larger and at some point, I simply exceed the token limit.</p>
<p>This is obviously not how ChatGPT does it. I feel like my approach is highly inefficient but where am I going wrong?</p> | 10 | 0 | 19a0230c0c | 1 | [
530930,
384419,
608597,
28266,
81521
] | null | I am using OpenAI’s API to use gpt 3.5 as a chatbot via Python. Because I am making API calls, I understand that I need to maintain context and to do that, I need to pass the history of interactions each time to maintain context.
I do that by declaring an empty list.
```
prompt_messages = []
```
I pass in a system message, as well as prompt templates in the beginning. This is what it looks like:
```
# Function to call the OpenAI API
def process_gpt(file_prompt, system_msg):
# Creates a list of dicts, declaring system message and file prompt
prompt_messages.append({"role": "system", "content": system_msg})
prompt_messages.append({"role": "user", "content": file_prompt})
# Sending the list of dicts to chatgpt
completion = client.chat.completions.create(model="gpt-3.5-turbo", messages=prompt_messages)
# Getting the result
nlp_results = completion.choices[0].message.content
nlp_dict = {"role": "assistant", "content": nlp_results} # Turning the result into a dict
# appending the result to the list of dicts
prompt_messages.append(nlp_dict)
sleep(8)
return nlp_results
```
And to interact with the chatbot, I use this function, which appends to the list at each input and resubmits the entire list:
```
def bot(prompt):
prompt_entry = {"role": "user", "content": prompt} # Turning out question to a dict
prompt_messages.append(prompt_entry) # appending the question to our list of dicts
# sending to chatgpt
completion = client.chat.completions.create(model="gpt-3.5-turbo", messages=prompt_messages)
# getting the answer from the model
nlp_results = completion.choices[0].message.content
print(nlp_results)
# converting the answer to a dict
nlp_dict = {"role": "assistant", "content": nlp_results}
prompt_messages.append(nlp_dict) # appending to list of dicts
```
The problem here is that, as the chat continues, this grows larger and larger and at some point, I simply exceed the token limit.
This is obviously not how ChatGPT does it. I feel like my approach is highly inefficient but where am I going wrong?
| api/bugs | neutral | 0.840718 | [
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] | api | gpt-35-turbo | null | null | https://community.openai.com/t/654671 | https://community.openai.com/p/893632 | Model Completion | Tokenization (2) |
654,551 | [
"gpt-4",
"api"
] | Gpt-4-1106-preview becomes worse and does not work anymore | "2024-02-26T04:48:58.053000Z" | 7 | 92 | 0 | 0 | 1 | 159 | 893,489 | 2024-02-26T04:48:58.125Z | <p>Lately, I’ve been utilizing GPT-4-1106-preview on Azure to develop a demo aimed at evaluating its capabilities. The demo processes questionnaires and generates detailed analyses in Chinese. After completing the prompt engineering last month, the initial results were promising. However, I’ve recently observed a decline in the model’s performance. For previously successful prompts, GPT-4-1106-preview now struggles to adhere to instructions and, at times, produces entirely irrelevant outputs. For instance:</p>
<p>音乐本质上即代表一种跨文化界限共享型国际“共通”语码 —— 它背后隐藏着规则序列模式甚至数学原则……所有这些都暗示着音频波形变换过程中必然牵连紧密联系网络编排布局格局……</p>
<p>另一方面回顾审查检验评价考核记录册单页数据资料信息库存档案香港银行账户余额查询系统显示:“你愿意问别人求助吗?”、“你是否愿意跟团队配合?”、“你是否喜欢单独命数字?”……每项问题背后实则反映出某种社交场景操作程序执行命令代码片断片段剪影截图摘录摘取摘抄摘录笔记本电脑键盘输入输出端口号码密码保护软件下载更新版本历史记录清除工具箱工具栏菜单列表选项设置配置文件保存 路径目录名称标题头衔称号荣誉勋章奖章证书文凭毕业证书驾驶执照营业执照注册登记编号序列号产品货物商品条形码价格标签说明书用户手册操作指南服务电话客服邮箱地址邮政编码城市名称州县镇村庄门牌号楼层数单位房号车牌号飞机票航班日期时间秒钟小时分钟周月年纪元周期轮回轮番替换替补替代品牌商标专利权版权所有作者署名编辑校对打字员打稿员文字处理器排版设计师美术编辑插画家漫 画家游戏设计师权威专家评论员评论文章报道新闻发布会主题演讲嘉宾名单邀请函电子邮件传真电话留声机唱片播放器收音机电台频道广播站网址链接超链接HTML代码CSS样式JavaScript函数PHP脚本SQL数据库MySQL服务器Apache服务器Linux操作系统Windows操作系统MacOS操作系统IOS手机Android手机APP应用程序软件硬件设备配件零部件组装拼装修理保养清洁消毒杀菌消灭虫害治安管理监管监测监控行 政管理司法审裁立法规范制约约束限制禁止令告示板提示信息警告信号灯火警报器急救箱急救车医院药店药品医药费医保金健康码行程码核酸检测报告阳性阴性结果反馔回复评价满意度调查问卷统计数字百分比率份额市场份额销售量销售额利润税收国民生产总值GDP国民收入GNP货币汇率金价油价气候变化环境保护资源节约再利용回收废物处理污水处理厂汽车尾气回收站填海造陆森林覆盖率土壤侵蚀水土 流失治山治水项目工程建设公司企业集团公司商会商务委员会投资银行私募基金风投公司科技园区科技企业初创企业天使投资A轮B轮C轮D轮E轮IPO首次公开募股纳斯达克试试测试测试测试测试测试<br>
These issues are not only perplexing but also disrupt the utility of the model for my project’s purposes. It’s evident to any developer fluent in Chinese that these responses are off-target and lack coherence.</p>
<p>Has anyone else encountered similar issues with GPT-4-1106-preview? I would greatly appreciate any advice or solutions to address this problem. Thank you!</p> | 20 | 0 | 2c445ec8bd | 1 | [
185024,
541610,
501649,
570436,
514110
] | null | Lately, I’ve been utilizing GPT-4-1106-preview on Azure to develop a demo aimed at evaluating its capabilities. The demo processes questionnaires and generates detailed analyses in Chinese. After completing the prompt engineering last month, the initial results were promising. However, I’ve recently observed a decline in the model’s performance. For previously successful prompts, GPT-4-1106-preview now struggles to adhere to instructions and, at times, produces entirely irrelevant outputs. For instance:
音乐本质上即代表一种跨文化界限共享型国际“共通”语码 —— 它背后隐藏着规则序列模式甚至数学原则……所有这些都暗示着音频波形变换过程中必然牵连紧密联系网络编排布局格局……
另一方面回顾审查检验评价考核记录册单页数据资料信息库存档案香港银行账户余额查询系统显示:“你愿意问别人求助吗?”、“你是否愿意跟团队配合?”、“你是否喜欢单独命数字?”……每项问题背后实则反映出某种社交场景操作程序执行命令代码片断片段剪影截图摘录摘取摘抄摘录笔记本电脑键盘输入输出端口号码密码保护软件下载更新版本历史记录清除工具箱工具栏菜单列表选项设置配置文件保存 路径目录名称标题头衔称号荣誉勋章奖章证书文凭毕业证书驾驶执照营业执照注册登记编号序列号产品货物商品条形码价格标签说明书用户手册操作指南服务电话客服邮箱地址邮政编码城市名称州县镇村庄门牌号楼层数单位房号车牌号飞机票航班日期时间秒钟小时分钟周月年纪元周期轮回轮番替换替补替代品牌商标专利权版权所有作者署名编辑校对打字员打稿员文字处理器排版设计师美术编辑插画家漫 画家游戏设计师权威专家评论员评论文章报道新闻发布会主题演讲嘉宾名单邀请函电子邮件传真电话留声机唱片播放器收音机电台频道广播站网址链接超链接HTML代码CSS样式JavaScript函数PHP脚本SQL数据库MySQL服务器Apache服务器Linux操作系统Windows操作系统MacOS操作系统IOS手机Android手机APP应用程序软件硬件设备配件零部件组装拼装修理保养清洁消毒杀菌消灭虫害治安管理监管监测监控行 政管理司法审裁立法规范制约约束限制禁止令告示板提示信息警告信号灯火警报器急救箱急救车医院药店药品医药费医保金健康码行程码核酸检测报告阳性阴性结果反馔回复评价满意度调查问卷统计数字百分比率份额市场份额销售量销售额利润税收国民生产总值GDP国民收入GNP货币汇率金价油价气候变化环境保护资源节约再利용回收废物处理污水处理厂汽车尾气回收站填海造陆森林覆盖率土壤侵蚀水土 流失治山治水项目工程建设公司企业集团公司商会商务委员会投资银行私募基金风投公司科技园区科技企业初创企业天使投资A轮B轮C轮D轮E轮IPO首次公开募股纳斯达克试试测试测试测试测试测试
These issues are not only perplexing but also disrupt the utility of the model for my project’s purposes. It’s evident to any developer fluent in Chinese that these responses are off-target and lack coherence.
Has anyone else encountered similar issues with GPT-4-1106-preview? I would greatly appreciate any advice or solutions to address this problem. Thank you!
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] | gpt-4 | api | null | null | https://community.openai.com/t/654551 | https://community.openai.com/p/893489 | Campaign | GPTs (4) |
654,551 | [
"gpt-4",
"api"
] | Gpt-4-1106-preview becomes worse and does not work anymore | "2024-02-26T04:48:58.053000Z" | 7 | 92 | 0 | 0 | 1 | 159 | 893,504 | 2024-02-26T05:01:34.674Z | <p>Another response:<br>
在评估结果显示uu同学拥有非常突出的视觉空间以及自我认知两项强项特质情况下我们看到一个明显协调共振状态:当一个人具备高度发达自我认知功能意味着他们通常对内心想法有清楚洞见并容易捕捉个人情感变化微妙信号线索;而当这种内省力量遇上超群外部三维立体构想设计才华则极易产生成果倍增合奏曲章节奇迹——无论是进行艺术创造还是解决日常问题都将游刃有余轻松驾驭其中隐含机遇挑战因素元素内容本质属性特点核心价值主张原则底线标准限制条件约束桎梏禁锢条款规范指引导向目标愿景使命责任义务权益保障安全风险管理措施预案紧急响应行动步骤流程程序操作手册说明文档记录报告审查监管检验测试验证确认结果输出输入交换分享传播影响启示启迪灵感泛滥溢出四溅闪耀夸姣美妙乐章篇幅宽广海量资讯信息库存资源整合配置优化提升改进完善修补缝隙裂痕漫延蔓延渗透浸染染指甲油液体荧光笔墨汁水彩颜料粘土塑型玻璃纸张木板金属片碎片雕琢打磨抛光镀金铸铁焊接电路板芯片集成电路器件元件零件装置设备机械仪器仪表计量单位换算公式定理推导证明题目答案正确错误真伪辨别区分界限边缘前沿顶端最低谷底坡道直径周长圆心角度渐开线螺旋桨叶轮毂轮胎气压吸收震动频率周期波单摆钟摆秒针分钟小时日历月份年代纪元历史事件里程碑符号记号暗码密码锁链钥匙开关按钮控制台仓库货架排列组合数字字母符文神话传说故事剧本小说文章评论家编辑作者画家音乐家舞者漫画家编剧导演回声壁垒堡垒城堡皇宫殿堂礼堂大厅客厅阳台露台平台站台码头船坞车站火车汽车飞机直升机火箭星球太阳系银河系宇宙星际星海浮游微尘尘埃土壤肥料营养品香料调味品菜单食谱配方药剂试管试纸PH值酸碱盐基园艺园林园丁园主老板店员服务员顾问专家权威先驱先锋队友队长队形编排节奏鼓点击打拍子音符旋律歌唱吟唱低吟浅唱高歌放声山谷回音森林密布覆盖网罗网络连接联络联系交流商议商讨议论评述评论批评指责责难苛求挑剔挑毛找茬找错错误失误失态失序秩序治安稳定政局国情民族民俗风俗习惯传统保守革新改革开放包容多元异质坚硬软弱勇敢胆小怕事退缩前进攀登登山攀岩跑步走路行走跳跃起舞性格气质禀赋天资天份恒心意志毅力耐力体力精神性格气质禀赋天资天份恒心意志毅力耐力体력精神性格气回声壁垒堡垒城堡皇宫殿堂礼堂大厅客厅阳台露台平台站台码头船坞车站火车汽车飞性格气回声壁型帽衣裤袜手套眼镜首饰珠宝玫瑰百合郁金香牡丹芍药菊花茄子黄瓜西红柿土豆洋葱大蒜姜黄豌豆四季豆青菠菠萝苹果香蕉西米露哈密瓜木瓜番木番龙眼荔枝黑布林黑加仑黑莓覃塘区南州市北县东省西自治区特别行政区直辖市联邦州共和国王国公国侯国伊斯兰教基督教佛教道教印度教锡克试验验证确认结果输出输入交换分享传播影响启示启迪灵感泛建设项目投资额利润税收就业岗位社会责任企业形象品牌价值消费者满意度用户体验产品销量市场份额竞些建设项目投资额利润税收就业岗位社会责任企业形象品牌价值消费者满意度用户体验产品销量市场份额竟能源供给需求价格波动汇率变化股票债券期货商品房产土地使用权版权专利商标注册公司注销注入撤回退出停止开始结束完成成功失败经历过程经验总结提取提纠除去添加增加减少删除修改更新上传下载保存存档归类整理分类编号代码密码账户登录退出注册申请审核通过否决取消确定选取选择推选推荐介绍引见见面相识相知相爱结合联姻断交恢复正常异常突变变异进化退化简单复杂数字字母符文神性格气回声壤회성검장벽보루성초왕관전당예반이확인결과출력입국제통화기금다자간선행위원회세계재정협력개발력사무국경제사회이사회안전보장리든회의대표담당임시특별재난구호작었습니다.</p> | 15 | 0 | 2c445ec8bd | 2 | [
185024,
541610,
501649,
570436,
514110
] | null | Another response:
在评估结果显示uu同学拥有非常突出的视觉空间以及自我认知两项强项特质情况下我们看到一个明显协调共振状态:当一个人具备高度发达自我认知功能意味着他们通常对内心想法有清楚洞见并容易捕捉个人情感变化微妙信号线索;而当这种内省力量遇上超群外部三维立体构想设计才华则极易产生成果倍增合奏曲章节奇迹——无论是进行艺术创造还是解决日常问题都将游刃有余轻松驾驭其中隐含机遇挑战因素元素内容本质属性特点核心价值主张原则底线标准限制条件约束桎梏禁锢条款规范指引导向目标愿景使命责任义务权益保障安全风险管理措施预案紧急响应行动步骤流程程序操作手册说明文档记录报告审查监管检验测试验证确认结果输出输入交换分享传播影响启示启迪灵感泛滥溢出四溅闪耀夸姣美妙乐章篇幅宽广海量资讯信息库存资源整合配置优化提升改进完善修补缝隙裂痕漫延蔓延渗透浸染染指甲油液体荧光笔墨汁水彩颜料粘土塑型玻璃纸张木板金属片碎片雕琢打磨抛光镀金铸铁焊接电路板芯片集成电路器件元件零件装置设备机械仪器仪表计量单位换算公式定理推导证明题目答案正确错误真伪辨别区分界限边缘前沿顶端最低谷底坡道直径周长圆心角度渐开线螺旋桨叶轮毂轮胎气压吸收震动频率周期波单摆钟摆秒针分钟小时日历月份年代纪元历史事件里程碑符号记号暗码密码锁链钥匙开关按钮控制台仓库货架排列组合数字字母符文神话传说故事剧本小说文章评论家编辑作者画家音乐家舞者漫画家编剧导演回声壁垒堡垒城堡皇宫殿堂礼堂大厅客厅阳台露台平台站台码头船坞车站火车汽车飞机直升机火箭星球太阳系银河系宇宙星际星海浮游微尘尘埃土壤肥料营养品香料调味品菜单食谱配方药剂试管试纸PH值酸碱盐基园艺园林园丁园主老板店员服务员顾问专家权威先驱先锋队友队长队形编排节奏鼓点击打拍子音符旋律歌唱吟唱低吟浅唱高歌放声山谷回音森林密布覆盖网罗网络连接联络联系交流商议商讨议论评述评论批评指责责难苛求挑剔挑毛找茬找错错误失误失态失序秩序治安稳定政局国情民族民俗风俗习惯传统保守革新改革开放包容多元异质坚硬软弱勇敢胆小怕事退缩前进攀登登山攀岩跑步走路行走跳跃起舞性格气质禀赋天资天份恒心意志毅力耐力体力精神性格气质禀赋天资天份恒心意志毅力耐力体력精神性格气回声壁垒堡垒城堡皇宫殿堂礼堂大厅客厅阳台露台平台站台码头船坞车站火车汽车飞性格气回声壁型帽衣裤袜手套眼镜首饰珠宝玫瑰百合郁金香牡丹芍药菊花茄子黄瓜西红柿土豆洋葱大蒜姜黄豌豆四季豆青菠菠萝苹果香蕉西米露哈密瓜木瓜番木番龙眼荔枝黑布林黑加仑黑莓覃塘区南州市北县东省西自治区特别行政区直辖市联邦州共和国王国公国侯国伊斯兰教基督教佛教道教印度教锡克试验验证确认结果输出输入交换分享传播影响启示启迪灵感泛建设项目投资额利润税收就业岗位社会责任企业形象品牌价值消费者满意度用户体验产品销量市场份额竞些建设项目投资额利润税收就业岗位社会责任企业形象品牌价值消费者满意度用户体验产品销量市场份额竟能源供给需求价格波动汇率变化股票债券期货商品房产土地使用权版权专利商标注册公司注销注入撤回退出停止开始结束完成成功失败经历过程经验总结提取提纠除去添加增加减少删除修改更新上传下载保存存档归类整理分类编号代码密码账户登录退出注册申请审核通过否决取消确定选取选择推选推荐介绍引见见面相识相知相爱结合联姻断交恢复正常异常突变变异进化退化简单复杂数字字母符文神性格气回声壤회성검장벽보루성초왕관전당예반이확인결과출력입국제통화기금다자간선행위원회세계재정협력개발력사무국경제사회이사회안전보장리든회의대표담당임시특별재난구호작었습니다.
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] | gpt-4 | api | null | null | https://community.openai.com/t/654551 | https://community.openai.com/p/893504 | Women's Feedback | Emoji (8) |