Getting Started with Azure Openai Api Key

To get started with Azure OpenAI API Key, you'll need to navigate to the Azure portal and sign in with your account credentials. This is the first step in accessing the OpenAI API.

Create a new resource by searching for "OpenAI" in the search bar, then select "OpenAI Service" from the results. This will guide you through the process of setting up your OpenAI API key.

Once you've created your OpenAI Service, you can find your API key by clicking on the "Keys" tab. From here, you can copy and paste your API key into your application or service.

To get started with Azure OpenAI API key, you'll need to meet some prerequisites.

First and foremost, you'll need an API Management instance. This is a must-have, so be sure to create one before proceeding.

You'll also need an Azure OpenAI resource and model added to your API Management instance. This will allow you to integrate OpenAI capabilities into your API.

Lastly, you'll need permissions to create an app registration in an identity provider such as a Microsoft Entra tenant associated with your Azure subscription. This is required for OAuth 2.0 authorization.

Here's a quick rundown of the prerequisites:

Authentication is crucial for accessing the Azure OpenAI API. You can authenticate using either API Keys or Microsoft Entra ID.

API Key authentication is a default way to authenticate to the Azure OpenAI API. To use this method, you must include a valid API key in the api-key HTTP header. API Management can manage the API key in a secure way using a named value, which can then be referenced in an API policy to set the api-key header in requests to the Azure OpenAI API.

You can also use Microsoft Entra ID authentication, which involves including a token in the Authorization header. The token must be preceded by Bearer, for example Bearer YOUR_AUTH_TOKEN.

There are two ways to get a token: using API Keys or Azure Active Directory (AAD). If you have complex security requirements, you may want to use AAD. To use AAD, you need to add a role an Azure role assignment Cognitive Services OpenAI User scoped to your Azure OpenAI resource.

The DefaultAzureCredential class is an easy way to get started with AAD authentication. You can also customize the credential chain if necessary. In the example shown below, we first try Managed Identity, then fall back to the Azure CLI.

Here are the authentication options for Azure OpenAI On Your Data when using an API key:

To use AAD in Python with LangChain, install the azure-identity package. Then, set OPENAI_API_TYPE to azure_ad. Next, use the DefaultAzureCredential class to get a token from AAD by calling get_token. Finally, set the OPENAI_API_KEY environment variable to the token value.

To set up your Azure OpenAI API key, you'll need to follow a few steps. First, create an Azure OpenAI resource by logging in to the Azure Portal and clicking on 'Create a resource' and searching for 'Azure OpenAI'.

Ensure you select the appropriate subscription and resource group. You can do this by following the prompts and making the necessary selections.

Next, you'll need to obtain and configure your API key. This key is essential for authenticating your requests to the service and ensuring secure access to the models provided by Azure.

To do this, refer to the official documentation for any updates or additional configurations that may be required.

The Azure OpenAI service requires you to set environment variables, particularly if you're using Node.js or Python. These variables need to be set for authentication and communication with the Azure platform.

Here's a list of the environment variables you'll need to set:

Make sure to install the necessary package before setting up your environment. This will ensure that you have the required libraries and dependencies to use the Azure OpenAI service.

To set up your environment, follow these steps:

By following these steps, you'll have successfully set up your Azure OpenAI API key and be ready to start integrating Azure OpenAI capabilities into your applications.

Setting up environment variables is a crucial step in using the Azure OpenAI service. You need to set the following environment variables, particularly if you're using Node.js or Python.

To use the Azure OpenAI service, you need to set environment variables. This is especially important if you're working with Node.js or Python.

You'll need to install the necessary package before setting up your environment. Make sure to do this step first.

Setting the environment variables is essential for authentication and ensuring your application can communicate with the Azure platform. This is crucial for accessing the Azure OpenAI service.

By setting the environment variables, you'll be able to authenticate your requests to the service and ensure secure access to the models provided by Azure.

To verify your setup, run a simple test to check if you can connect to the Azure OpenAI service.

Use the following code snippet to test your connection: it's a straightforward way to ensure everything is working correctly.

This test will help you identify any issues with your setup before moving forward with the Azure OpenAI API key.

You can run this test to verify your setup and ensure a smooth integration with the Azure OpenAI service.

To integrate Langchain with Azure OpenAI, you'll first need to ensure you have an Azure OpenAI instance deployed. This can be accomplished by following the guide available on the Azure documentation site.

Once your instance is set up, you can begin utilizing the Langchain library to interact with the Azure OpenAI API. To do this, you'll need to install the OpenAI SDK, which can be done by following the installation instructions provided in the OpenAI documentation.

You'll also need to configure your API key by setting your Azure OpenAI API key in your environment variables to authenticate your requests. This will allow you to make API calls to the Azure OpenAI instance.

The integration is made possible through the new Azure support in the OpenAI SDK. Here are the steps to get started:

With these steps, you'll be able to integrate Langchain with Azure OpenAI and start exploring the enhanced conversational AI capabilities available through this integration.

To integrate with Azure OpenAI, you can use the Portkey AI gateway with the following code snippet.

This code initializes the ChatOpenAI class with your Azure API key and endpoint, allowing you to send messages and receive responses from the Azure OpenAI models.

By leveraging the Portkey AI gateway with Azure OpenAI, developers can create powerful AI-driven applications that harness the strengths of both platforms.

You can also use PromptLayer to integrate with Azure-hosted OpenAI instances, but this requires setting up the model and invoking it to generate a response based on a prompt.

To do this, you'll need to replace the placeholders with your actual Azure OpenAI credentials and deployment details.

Here are the steps to integrate LangChain with Azure OpenAI: