big-AGIThe entire procedure takes about 5 minutes and involves creating an Azure account,
setting up the Azure OpenAI service, deploying models, and configuring big-AGI
to access these models.
Please note that Azure operates on a 'pay-as-you-go' pricing model and requires credit card information tied to a 'subscription' to the Azure service.
big-AGIIf you have an API Endpoint and API Key, you can configure big-AGI as follows:
big-AGI applicationThe deployed models are now available in the application. If you don't have a configured Azure OpenAI service instance, continue with the next section.
In addition to using the UI, configuration can also be done using environment variables.
For server deployments, set these environment variables:
AZURE_OPENAI_API_ENDPOINT=https://your-resource-name.openai.azure.com
AZURE_OPENAI_API_KEY=your-api-key
This enables Azure OpenAI for all users without requiring individual API keys. For more details, see environment-variables.md.
Azure OpenAI supports both traditional deployment-based API and the next-generation v1 API:
/openai/v1/responses endpoint without deployment IDsAZURE_OPENAI_DISABLE_V1=true/openai/deployments/{deployment-name}/... endpointsweb_search_preview tool that's available in OpenAI's API12345678-1234-1234-1234-123456789012)For more information, see Azure: Create and deploy OpenAI
Popular regions like East US, West Europe, and Australia East typically have the best model availability. For the latest model availability by region, see Azure OpenAI Model Availability
your-openai-api-1234)S0 for standard)After creating the resource, you can access the API Keys and Endpoints:
By default, Azure OpenAI resource instances don't have models available. You need to deploy the models you want to use.
Repeat as necessary for each model you want to deploy.
BIG-AGI
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