continuous pipeline-error-azure-openai-llm-failed
# support
v
Hi there! 👋 I see you're encountering the "continuous pipeline-error-azure-openai-llm-failed" error. While I'm not entirely sure what you mean by "azure nedpoint," I can help troubleshoot this pipeline error. Based on the information I found, here are several potential solutions to resolve this error: ### 1. Check Model Availability and Region Configuration The error often occurs when the specified model is not available in your configured region. According to [documentation](https://discord.com/channels/1211482211119796234/1211483291191083018/threads/1343704609096601693), this can happen when the model (like
gpt-4o-2024-08-06
) isn't available in your specified region (such as
swedencentral
). ### 2. Verify Your Azure OpenAI Credentials Ensure your credentials are valid and properly configured: - Make sure the deployment name matches exactly the model name provided in the VAPI menu - Use the shorter resource endpoint, not the longer deployment endpoint - Microsoft recommends using the
api-key
header instead of
Ocp-Apim-Subscription-Key
for authentication ### 3. Check Your Endpoint URL Format The correct endpoint format should be up to
chat/completions?api-version=
without including the version number. Some users have resolved this by using the format:
"openai/deployments/<deployment_name>/chat/completions?api-version"
[according to user reports](https://discord.com/channels/1211482211119796234/1211483291191083018/threads/1336754090880798765). ### 4. Look for Credential Conflicts If you have both Azure OpenAI and regular OpenAI credentials configured, the system might favor OpenAI over Azure OpenAI. Try [removing the OpenAI credential](https://discord.com/channels/1211482211119796234/1211483291191083018/threads/1342900897914556467) if you want to exclusively use Azure OpenAI. ### 5. Verify Model Access
Ensure your project has access to the model you're trying to use. Check if there are any quota limits or access restrictions on your Azure subscription. ### 6. Try a Different Transcriber Some users resolved similar issues by changing their transcriber to Azure, as mentioned in [this discussion](https://discord.com/channels/1211482211119796234/1211483291191083018/threads/1344348669327184052). Is there any specific part of the configuration you'd like me to explain in more detail? Sources: - [Discord discussion about pipeline errors](https://discord.com/channels/1211482211119796234/1211483291191083018/threads/1343704609096601693) - [Discord thread about endpoint configuration](https://discord.com/channels/1211482211119796234/1211483291191083018/threads/1336754090880798765) - [Discord thread about credential conflicts](https://discord.com/channels/1211482211119796234/1211483291191083018/threads/1342900897914556467) - [Discord thread about transcriber issues](https://discord.com/channels/1211482211119796234/1211483291191083018/threads/1344348669327184052) - [Discord thread about authentication issues](https://discord.com/channels/1211482211119796234/1211483291191083018/threads/1339956981297057892)
k
a gentle reminder to continue this thread.
g
azure moved the version of the model, you guys have a bad dashboard to maintain provider keys, all went down, somehow thru the dashboard you can have multiple azure keys pointing to the same endpoint and different models at the same time because your front end does not render the data properly. so lesson learned, keeping 0 keys in your provider keys dashboard, passing keys thru API... please DOCUMENT THE CHANGES AND NOTIFY USERS...
k
Really sorry for your bad experience, and I have noted your feedback. I will forward this to the team.
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