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I just got started with LiteLLM as a proxy because I needed an OpenAI-compatible API for my Azure AI Service. I began by working with OpenAI models (gpt-4o and gpt-4o-mini), and everything worked perfectly. So I thought, why not try some other models? I attempted to use Mistral-large.
I tried a few variations of the model string (mistral-large,Mistral-large-latest,mistral-large), but nothing worked. I always receive the following error:
23:01:35 - LiteLLM Proxy:DEBUG: proxy_server.py:3494 - An error occurred: litellm.NotFoundError: NotFoundError: Azure_aiException - Error code: 404 - {'error': {'code': '404', 'message': 'Resource not found'}}
Received Model Group=Mistral-large
Available Model Group Fallbacks=None
Model: azure_ai/Mistral-large
API Base: `https://censored.services.ai.azure.com/`
Messages: `[{'role': 'user', 'content': '### Task:\nGenerate 1-3 broad tags categorizing the main themes of the'}`
model_group: `Mistral-large`
deployment: `azure_ai/Mistral-large`
I checked the Metrics of the deployment in the ai.azure.com and it has a few succesfull requests, bot no input nor output tokens measured.
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Hi Folks,
I just got started with LiteLLM as a proxy because I needed an OpenAI-compatible API for my Azure AI Service. I began by working with OpenAI models (
gpt-4o
andgpt-4o-mini
), and everything worked perfectly. So I thought, why not try some other models? I attempted to useMistral-large
.Here’s my configuration:
I tried a few variations of the model string (
mistral-large
,Mistral-large-latest
,mistral-large
), but nothing worked. I always receive the following error:I checked the Metrics of the deployment in the ai.azure.com and it has a few succesfull requests, bot no input nor output tokens measured.
Any ideas on what I might be doing wrong here?
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