(docs) use azure ai studio + mistral litellm

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ishaan-jaff 2024-02-26 14:33:21 -08:00
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# Azure AI Studio
## Using Mistral models deployed on Azure AI Studio
**Ensure you have the `/v1` in your api_base**
### Sample Usage
```python
from litellm import completion
import os
response = completion(
model="mistral/Mistral-large-dfgfj",
api_base="https://Mistral-large-dfgfj-serverless.eastus2.inference.ai.azure.com/v1",
api_key = "JGbKodRcTp****"
messages=[
{"role": "user", "content": "hello from litellm"}
],
)
print(response)
```
### [LiteLLM Proxy] Using Mistral Models
Set this on your litellm proxy config.yaml
**Ensure you have the `/v1` in your api_base**
```yaml
model_list:
- model_name: mistral
litellm_params:
model: mistral/Mistral-large-dfgfj
api_base: https://Mistral-large-dfgfj-serverless.eastus2.inference.ai.azure.com/v1
api_key: JGbKodRcTp****
```

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@ -120,6 +120,7 @@ const sidebars = {
"providers/openai",
"providers/openai_compatible",
"providers/azure",
"providers/azure_ai",
"providers/huggingface",
"providers/ollama",
"providers/vertex",