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I am really struggling getting paperless-ai up & running on an Azure gpt-40-mini deployment. Even with a simple one-pager I run into a 429/Rate Limit Exceeded error. The token rate limit is 1000 Token/min, which sure isn't a lot, but I wonder if anyone got such a setup running at all? How would I even increase the quota? I can go lower, but 1k is the max to configure seemingly for a standard deployment on the only available European server in Sweden. I also just suppose I've put in the right endpoint, deployment name, API key and API version, since the configuration went through w/o complaining. If anyone successfully running such a setup could sample a valid configuration (and from where exactly to pick all that information in the Azure portal) -- that would be greatly appreciated! This is the log for the simple one-pager:
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Replies: 4 comments 6 replies
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Never mind...upgraded from free tier to pay-as-you-go (actually thought with the initial $200 Budget it is not a free tier for at least the first month...). and now the rate limit is 8K tokens which seems sufficient and it works now. |
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![]() using this form of endpoint also does not work: https://xxxxxx.openai.azure.com/openai/deployments/gpt-4o/completions?api-version=2024-10-21 I read documentations and also asked gpt and this should be the right setting. |
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I am just using https://paperless-ai12345678.openai.azure.com/ as endpoint, and this works for me. I think when using a full qualified URL like you do Paperless will still append the model and API version from below, and whether that works and which API version is ultimately used is rather random then and depends on Azures mood of the day. So I would opt for the simple URL and let Paperless construct the final one (as it works for me, it will also for you, I believe…) |
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I am just using https://paperless-ai12345678.openai.azure.com/ as endpoint, and this works for me. I think when using a full qualified URL like you do Paperless will still append the model and API version from below, and whether that works and which API version is ultimately used is rather random then and depends on Azures mood of the day. So I would opt for the simple URL and let Paperless construct the final one (as it works for me, it will also for you, I believe…)