Azure openai calls started throwing 500 errors since Apr 28, 2026 at 2:30:13.876 am IST

Hi Harpinder Singh,

Thanks for sharing this issue. Getting 500 errors suddenly without any change can be confusing, but this usually relates to service side behavior rather than your code.

Let me explain in a simple way and share what you can check.

First, what this error means A 500 error means the request reached Azure OpenAI successfully, but something failed internally on the service side.

In most cases, this is not caused by your request or configuration. It usually indicates

• temporary service interruption
• backend issues in the region
• infrastructure or capacity problem

In your case, since it started at a specific time and affected working calls, it is very likely a temporary backend issue in that region.

Second, why the status page may not show it. The public Azure status page only shows major incidents that affect many customers globally.

If the issue is

• limited to a region
• affecting only some deployments

then it may not appear there.

For more detailed information, Service Health in Azure portal usually shows region level or subscription level alerts.

Third, common causes of 500 errors Based on similar cases, 500 errors usually fall into two categories

Service side issues

• temporary outages
• model serving disruptions
• high load or capacity constraints

Request related triggers

• very large prompts or responses
• malformed or invalid output from model
• content filtering silently blocking some inputs

These are known patterns seen in Azure OpenAI scenarios.

Fourth, things you can do to handle this

Add retry logic This is the most important practice

500 errors are often temporary, so retrying after a short delay usually works

Using exponential retry makes your application more stable for these cases.

Check Service Health in Azure portal

• go to Service Health
• check health alerts and history

This gives more accurate insight compared to public status pages.

Validate your requests Even though this looks like a service issue, still check

• input size is not too large
• prompt is not overly long
• output format is valid

Sometimes specific inputs can trigger internal failures.

Test with simple request Try a small and simple prompt

• if simple requests work but large ones fail, then it may be input related
• if nothing works, it is likely service side

Use multi region setup if possible If your application is critical, using another region as fallback helps reduce impact when one region has issues

Fifth, important point When errors start suddenly without any changes and affect multiple requests, it strongly points to a backend or regional issue, not something from your code

This matches your scenario where it started at a specific time and continued for some time.

Official reference for monitoring You can check Service Health:

https://learn.microsoft.com/en-us/azure/service-health/

In short

• 500 error usually means temporary server issue
• often not caused by your configuration
• retry logic is the best immediate handling
• check Service Health for region level details

This type of issue usually resolves automatically once the backend stabilizes

Hope this helps clarify the situation and gives you a clear way. Do let me know if you have any further queries.

Thankyou!

Hello Harpinder Singh,

We haven’t heard from you on the last response and was just checking back to see if you have a resolution yet. In case if you have any resolution, please do share that same with the community as it can be helpful to others. Otherwise, will respond with more details and we will try to help.

Thankyou!