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Docs: Updating Microsoft Provider Documentation to Include Azure AI (#31467)

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This PR adds documentation to our Microsft Provider page for LangChain
Azure AI. This PR does not add any extra dependencies or require any
tests besides passing CI.
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@ -4,9 +4,15 @@ keywords: [azure]
# Microsoft # Microsoft
All functionality related to `Microsoft Azure` and other `Microsoft` products. All functionality related to [Microsoft Azure](https://portal.azure.com) and other [Microsoft](https://www.microsoft.com) products.
## Chat Models ## Chat Models
Microsoft offers three main options for accessing chat models through Azure:
1. [Azure OpenAI](https://learn.microsoft.com/en-us/azure/ai-services/openai/) - Provides access to OpenAI's powerful models like o3, 4.1, and other models through Microsoft Azure's secure enterprise platform.
2. [Azure AI](https://learn.microsoft.com/en-us/azure/ai-studio/how-to/deploy-models) - Offers access to a variety of models from different providers including Anthropic, DeepSeek, Cohere, Phi and Mistral through a unified API.
3. [Azure ML](https://learn.microsoft.com/en-us/azure/machine-learning/) - Allows deployment and management of your own custom models or fine-tuned open-source models with Azure Machine Learning.
### Azure OpenAI ### Azure OpenAI
@ -29,11 +35,36 @@ os.environ["AZURE_OPENAI_API_KEY"] = "your AzureOpenAI key"
See a [usage example](/docs/integrations/chat/azure_chat_openai) See a [usage example](/docs/integrations/chat/azure_chat_openai)
```python ```python
from langchain_openai import AzureChatOpenAI from langchain_openai import AzureChatOpenAI
``` ```
### Azure AI
>[Azure AI Foundry](https://learn.microsoft.com/en-us/azure/developer/python/get-started) provides access to a wide range of models from various providers including Azure OpenAI, DeepSeek R1, Cohere, Phi and Mistral through the `AzureAIChatCompletionsModel` class.
```bash
pip install -U langchain-azure-ai
```
Configure your API key and Endpoint.
```bash
export AZURE_INFERENCE_CREDENTIAL=your-api-key
export AZURE_INFERENCE_ENDPOINT=your-endpoint
```
```python
from langchain_azure_ai.chat_models import AzureAIChatCompletionsModel
llm = AzureAIChatCompletionsModel(
model_name="gpt-4o",
api_version="2024-05-01-preview",
)
```
See a [usage example](/docs/integrations/chat/azure_ai)
### Azure ML Chat Online Endpoint ### Azure ML Chat Online Endpoint
See the documentation [here](/docs/integrations/chat/azureml_chat_endpoint) for accessing chat See the documentation [here](/docs/integrations/chat/azureml_chat_endpoint) for accessing chat
@ -59,6 +90,9 @@ from langchain_openai import AzureOpenAI
``` ```
## Embedding Models ## Embedding Models
Microsoft offers two main options for accessing embedding models through Azure:
### Azure OpenAI ### Azure OpenAI
See a [usage example](/docs/integrations/text_embedding/azureopenai) See a [usage example](/docs/integrations/text_embedding/azureopenai)
@ -67,6 +101,27 @@ See a [usage example](/docs/integrations/text_embedding/azureopenai)
from langchain_openai import AzureOpenAIEmbeddings from langchain_openai import AzureOpenAIEmbeddings
``` ```
### Azure AI
```bash
pip install -U langchain-azure-ai
```
Configure your API key and Endpoint.
```bash
export AZURE_INFERENCE_CREDENTIAL=your-api-key
export AZURE_INFERENCE_ENDPOINT=your-endpoint
```
```python
from langchain_azure_ai.embeddings import AzureAIEmbeddingsModel
embed_model = AzureAIEmbeddingsModel(
model_name="text-embedding-ada-002"
)
```
## Document loaders ## Document loaders
### Azure AI Data ### Azure AI Data