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articles/communication-services/quickstarts/router/job-router-azure-openai-integration.md

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@@ -50,8 +50,8 @@ This quick start demonstrates how to integrate Azure OpenAI with ACS Job Router
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- The Azure function receives a request from ACS Job Router with a payload containing the worker's labels (performance indicators).
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- The Azure function extracts those values from the request.
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- The Azure function was preconfigured with a prompt to explain to the Azure OpenAI model how to interpret each one of these performance indicators and to ask Azure OpenAI to score each worker based on these values to find the most suitable agent for a new job.
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> [!NOTE]
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> The prompt can be updated for any desired outcome. For example, you could modify the prompt to weigh the Average Handling Time as the most important data point or ask the model to optimize for customer satisfaction.
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> [!NOTE]
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> The prompt can be updated for any desired outcome. For example, you could modify the prompt to weigh the Average Handling Time as the most important data point or ask the model to optimize for customer satisfaction.
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- The Azure Function sends a request with the configured prompts and worker performance indicators, and Azure OpenAI responds back with a JSON Object containing the scores generated by Azure OpenAI.
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- The Azure Function then sends these scores back to ACS Job Router.
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- ACS Job Router then sends an offer to the worker that was scored the highest by Azure OpenAI.
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4. Open the Azure portal and go to your Azure OpenAI resource, then go to Azure AI Studio. From here, navigate to the Deployments tab and select "+ Create new deployment"
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- a. Select a model that can perform completions
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[Azure OpenAI Service models](../../../ai-services/openai/concepts/models.md)
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[Azure OpenAI Service models](../../../ai-services/openai/concepts/models.md)
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- b. Give your model a Deployment name and select “Create”
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:::image type="content" source="./media/azure-openai-model-creation.png" alt-text="Screenshot of creating azure OpenAI model.":::

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