> ## Documentation Index
> Fetch the complete documentation index at: https://langchain.idochub.dev/llms.txt
> Use this file to discover all available pages before exploring further.

# Azure AI

All functionality related to [Azure AI Foundry](https://learn.microsoft.com/en-us/azure/developer/python/get-started) and its related projects.

Integration packages for Azure AI, Dynamic Sessions, SQL Server are maintained in
the [langchain-azure](https://github.com/langchain-ai/langchain-azure) repository.

## Chat models

We recommend developers start with the (`langchain-azure-ai`) to access all the models available in [Azure AI Foundry](https://learn.microsoft.com/en-us/azure/ai-studio/how-to/model-catalog-overview).

### Azure AI Chat Completions Model

Access models like Azure OpenAI, DeepSeek R1, Cohere, Phi and Mistral using the `AzureAIChatCompletionsModel` class.

<CodeGroup>
  ```bash pip theme={null}
  pip install -U langchain-azure-ai
  ```

  ```bash uv theme={null}
  uv add langchain-azure-ai
  ```
</CodeGroup>

Configure your API key and Endpoint.

```bash theme={null}
export AZURE_INFERENCE_CREDENTIAL=your-api-key
export AZURE_INFERENCE_ENDPOINT=your-endpoint
```

```python theme={null}
from langchain_azure_ai.chat_models import AzureAIChatCompletionsModel

llm = AzureAIChatCompletionsModel(
    model_name="gpt-4o",
    api_version="2024-05-01-preview",
)

llm.invoke('Tell me a joke and include some emojis')
```

## Embedding models

### Azure AI model inference for embeddings

<CodeGroup>
  ```bash pip theme={null}
  pip install -U langchain-azure-ai
  ```

  ```bash uv theme={null}
  uv add langchain-azure-ai
  ```
</CodeGroup>

Configure your API key and Endpoint.

```bash theme={null}
export AZURE_INFERENCE_CREDENTIAL=your-api-key
export AZURE_INFERENCE_ENDPOINT=your-endpoint
```

```python theme={null}
from langchain_azure_ai.embeddings import AzureAIEmbeddingsModel

embed_model = AzureAIEmbeddingsModel(
    model_name="text-embedding-ada-002"
)
```