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t6_mem0/docs/components/llms/models/azure_openai.mdx

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---
title: Azure OpenAI
---
To use Azure OpenAI models, you have to set the `LLM_AZURE_OPENAI_API_KEY`, `LLM_AZURE_ENDPOINT`, `LLM_AZURE_DEPLOYMENT` and `LLM_AZURE_API_VERSION` environment variables. You can obtain the Azure API key from the [Azure](https://azure.microsoft.com/).
## Usage
```python
import os
from mem0 import Memory
os.environ["LLM_AZURE_OPENAI_API_KEY"] = "your-api-key"
os.environ["LLM_AZURE_DEPLOYMENT"] = "your-deployment-name"
os.environ["LLM_AZURE_ENDPOINT"] = "your-api-base-url"
os.environ["LLM_AZURE_API_VERSION"] = "version-to-use"
config = {
"llm": {
"provider": "azure_openai",
"config": {
"model": "your-deployment-name",
"temperature": 0.1,
"max_tokens": 2000,
"azure_kwargs": {
"azure_deployment": "",
"api_version": "",
"azure_endpoint": "",
"api_key": "",
"default_headers": {
"CustomHeader": "your-custom-header",
}
}
}
}
}
m = Memory.from_config(config)
m.add("Likes to play cricket on weekends", user_id="alice", metadata={"category": "hobbies"})
```
We also support the new [OpenAI structured-outputs](https://platform.openai.com/docs/guides/structured-outputs/introduction) model.
```python
import os
from mem0 import Memory
os.environ["LLM_AZURE_OPENAI_API_KEY"] = "your-api-key"
os.environ["LLM_AZURE_DEPLOYMENT"] = "your-deployment-name"
os.environ["LLM_AZURE_ENDPOINT"] = "your-api-base-url"
os.environ["LLM_AZURE_API_VERSION"] = "version-to-use"
config = {
"llm": {
"provider": "azure_openai_structured",
"config": {
"model": "your-deployment-name",
"temperature": 0.1,
"max_tokens": 2000,
"azure_kwargs": {
"azure_deployment": "",
"api_version": "",
"azure_endpoint": "",
"api_key": "",
"default_headers": {
"CustomHeader": "your-custom-header",
}
}
}
}
}
```
## Config
All available parameters for the `azure_openai` config are present in [Master List of All Params in Config](../config).