Azure Integration
Seamless Integration Azure OpenAI deployment
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Seamless Integration Azure OpenAI deployment
Last updated
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You can use GPTBoost with your Azure-OpenAI deployment, and it requires no additional code changes beyond replacing the azure_endpoint
with the GPTBoost URL. Similar to communicating with OpenAI API, GPTBoost between the client and your Azure OpenAI deployment.
To start, make sure you have an active Azure Subscription and that you've activated Azure OpenAI for it. If you haven't done this yet, check on how to .
In case, you already have your Azure deployments ready, you can proceed to .
Remember, you'll need Python version 3.7.1 or later to meet the minimum requirements.
Start by setting up your - there's a free tier available.
Access to Azure OpenAI Services is granted through an application. Apply for access by filling out the form at . They'll ask you a few questions, and then you just need to wait for Microsoft to approve your request.
Deploy the OpenAI model following the official
Setting up the monitoring of your Azure OpenAI model statistics in GPTBoost is pretty straightforward.
Head over to your GPTBoost account -> OpenAI API Keys.
Next, select Add Key.
For Provider choose Azure OpenAI from the drop-down menu.
Once your Azure OpenAI deployment is set and the Azure Key is authorized in GTPBoost, you can start monitoring all requests by replacing the azure_endpoint
with the GPTBoost URL.
Fill in your credentials. You'll need the Azure OpenAI API Key, the API version and the Azure endpoint. The Endpoint and Keys can be found in the Resource Management section of your Azure portal. More info on these credentials can be found .