big-AGI
The 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-AGI
If 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.
12345678-1234-1234-1234-123456789012
)We'll now be creating "OpenAI"-specific resources on Azure. This requires to 'apply', and acceptance should be quick (even as low as minutes).
Once your application is accepted, you can create OpenAI resources on Azure.
For more information, see Azure: Create and deploy OpenAI
For instance, Canada East offers GPT-4-32k models, For the full list, see GPT-4 models
your-openai-api-1234
)S0
for standard)After creating the resource, you can access the API Keys and Endpoints. At any point, you can go to the OpenAI Service instance page to get this information.
Endpoint
, called "Language API", e.g. 'https://your-openai-api-1234.openai.azure.com/'KEY 1
By default, Azure OpenAI resource instances don't have models available. You need to deploy the models you want to use.
gpt4-32k-0613
Repeat as necessary for each model you want to deploy.