---
title: Azure OpenAI
---

<Snippet file="security-compliance.mdx" />

<Note> Mem0 Now Supports Azure OpenAI Models in TypeScript SDK </Note>

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/).

> **Note**: The following are currently unsupported with reasoning models `Parallel tool calling`,`temperature`, `top_p`, `presence_penalty`, `frequency_penalty`, `logprobs`, `top_logprobs`, `logit_bias`, `max_tokens`


## Usage

<CodeGroup>
```python Python
import os
from mem0 import Memory

os.environ["OPENAI_API_KEY"] = "your-api-key" # used for embedding model

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)
messages = [
    {"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
    {"role": "assistant", "content": "How about a thriller movies? They can be quite engaging."},
    {"role": "user", "content": "I’m not a big fan of thriller movies but I love sci-fi movies."},
    {"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."}
]
m.add(messages, user_id="alice", metadata={"category": "movies"})
```

```typescript TypeScript
import { Memory } from 'mem0ai/oss';

const config = {
  llm: {
    provider: 'azure_openai',
    config: {
      apiKey: process.env.AZURE_OPENAI_API_KEY || '',
      modelProperties: {
        endpoint: 'https://your-api-base-url',
        deployment: 'your-deployment-name',
        modelName: 'your-model-name',
        apiVersion: 'version-to-use',
        // Any other parameters you want to pass to the Azure OpenAI API
      },
    },
  },
};

const memory = new Memory(config);
const messages = [
    {"role": "user", "content": "I'm planning to watch a movie tonight. Any recommendations?"},
    {"role": "assistant", "content": "How about a thriller movies? They can be quite engaging."},
    {"role": "user", "content": "I’m not a big fan of thriller movies but I love sci-fi movies."},
    {"role": "assistant", "content": "Got it! I'll avoid thriller recommendations and suggest sci-fi movies in the future."}
]
await memory.add(messages, { userId: "alice", metadata: { category: "movies" } });
```
</CodeGroup>


We also support the new [OpenAI structured-outputs](https://platform.openai.com/docs/guides/structured-outputs/introduction) model. Typescript SDK does not support the `azure_openai_structured` model yet.

```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).