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Launch Aspire (if it's not already running). See:
To add a Azure OpenAI Chat Completions application, drag it from the Applications a Azure OpenAI Embedding rule from the Workflow Library and drop to the Workflow Tree where you want to add itsection to the desired Workflow event. This will automatically open the Azure OpenAI Embeddings window for the configuration of the Azure OpenAI Chat Completions configuration for the application.
In the Azure OpenAI Embeddings window, specify the information required.
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"General" configuration section, specify the type of prompt to use. Currently, "User", "System" and "Assistant" types are supported.
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In the "General" configuration section, specify the text for your prompt. It can be plain text or a groovy script that must have text as its final output.
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Optionally, in the "General" section, you can add as many prompts as desired. You must then again, specify a prompt type and a prompt text for each of them.
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In the "Endpoint Configuration" section, specify the API version and Model to be used.
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In the "Model Parameters" section, specify parameters to be used with the Model specified in the previous step.
After this, you can press the add button to finish the workflow.
Now the workflow is ready to be used in your Aspire Seeds.
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Here is an example of the output. The application will add a "chatCompletionsResponse" object to the document which in turn will have the response content in a "content" field, a "responseProperties" field with response properties, including usage statistics, a "requestProperties" field, with the corresponding request properites and finally, a "modelProperties" field with the properties with which the model was configured.
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For details on using the Workflow section, please refer to Workflow introduction. |