update per comments

Author: NathanJBennett

articles/communication-services/quickstarts/router/job-router-azure-open-ai-integration.md renamed to articles/communication-services/quickstarts/router/job-router-azure-openai-integration.md

@@ -1,5 +1,5 @@
 ---
-title: Quickstart - Integrating Azure OpenAI with Job Router
+title: Quickstart - Integrate Azure OpenAI with Job Router
 titleSuffix: An Azure Communication Services quickstart
 description: In this quickstart, you learn how to integrate Azure OpenAI with ACS Job Router using an Azure Function App to match workers to jobs based on worker's performance.
 author: nabennet
@@ -13,7 +13,7 @@ ms.service: azure-communication-services
 
 # Quick Start: Integrating Azure OpenAI with ACS Job Router
 
-Integrate ACS Job Router with Azure Open AI. Use Azure Open AI to pair your jobs to agents.
+Integrate ACS Job Router with Azure OpenAI. Use Azure OpenAI to pair your jobs to agents.
 
 ### Prerequisites
 - Create an Azure OpenAI resource. [Setup Guide](../../../ai-services/openai/how-to/create-resource.md)
@@ -24,7 +24,7 @@ Integrate ACS Job Router with Azure Open AI. Use Azure Open AI to pair your jobs
 
 ### Overview
 
-This quick start demonstrates how to integrate Azure Open AI with ACS Job Router to intelligently choose the best-suited worker based on performance indicators for an incoming job.
+This quick start demonstrates how to integrate Azure OpenAI with ACS Job Router to intelligently choose the best-suited worker based on performance indicators for an incoming job.
 
 ### Console application
 - Manages ACS resources including policies and queues.
@@ -44,15 +44,16 @@ This quick start demonstrates how to integrate Azure Open AI with ACS Job Router
 - Five workers that are registered to a queue with three chosen performance indicator values populated as labels.
 - Creates a Job in ACS Job Router and lets the user know which worker Azure OpenAI scored the highest based on the performance indicator labels.
 
-   :::image type="content" source="./media/overview-sequence-diagram.png" alt-text="Screenshot of Job Router with Azure Open AI integration SequenceDiagram.":::
+   :::image type="content" source="./media/overview-sequence-diagram.png" alt-text="Screenshot of Job Router with Azure OpenAI integration SequenceDiagram."
+   lightbox="./media/overview-sequence-diagram-expanded.png":::
 
-#### The Azure Function project is set up to interact with a deployed Azure OpenAI model.
+#### The Azure Function project is set up to interact with a deployed Azure OpenAI model:
 - The Azure function receives a request from ACS Job Router with a payload containing the worker's labels (performance indicators).
 - The Azure function extracts those values from the request.
-- The Azure function was preconfigured with a prompt to explain to the Azure Open AI 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.
+- 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.
 > [!NOTE] 
 > 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.
-- 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 Open AI.
+- 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.
 - The Azure Function then sends these scores back to ACS Job Router.
 - ACS Job Router then sends an offer to the worker that was scored the highest by Azure OpenAI.
 
@@ -72,17 +73,17 @@ Workers are evaluated based on:
 - Learn about Azure Function Deployments. [Azure Function Deployments](../../../azure-functions/functions-deployment-technologies.md)
 
 ## Understanding Azure OpenAI prompts
-- Learn about Azure Open AI prompt Engineering Techniques. [Prompt Engineering Techniques](../../../ai-services/openai/concepts/advanced-prompt-engineering.md)
+- Learn about Azure OpenAI prompt Engineering Techniques. [Prompt Engineering Techniques](../../../ai-services/openai/concepts/advanced-prompt-engineering.md)
 
 ## Deployment and execution
 
 1. Open the OpenAiScoringFunction project in Visual Studio Code with the Azure Function Extension installed. Select 'Create Function App in Azure...'
 
-   :::image type="content" source="./media/create-azure-function-from-code.png" alt-text="Screenshot of CreateFunctionApp in VS Code.":::
+      :::image type="content" source="./media/create-azure-function-from-code.png" alt-text="Screenshot of CreateFunctionApp in VS Code.":::
 
 2. After selecting your Subscription, enter a unique name for your function app.
 
- :::image type="content" source="./media/function-select-subscription.png" alt-text="Screenshot of selecting subscription in VS Code.":::
+      :::image type="content" source="./media/function-select-subscription.png" alt-text="Screenshot of selecting subscription in VS Code.":::
 
 3. Once your Function App is created, right-click on your App and select 'Deploy Function App...'
 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"
@@ -91,15 +92,15 @@ Workers are evaluated based on:
     [Azure OpenAI Service models](../../../ai-services/openai/concepts/models.md)
     - b. Give your model a Deployment name and select “Create”
 
- :::image type="content" source="./media/azure-open-ai-model-creation.png" alt-text="Screenshot of creating azure open ai model.":::
+      :::image type="content" source="./media/azure-openai-model-creation.png" alt-text="Screenshot of creating azure OpenAI model.":::
 
 5. Once your Azure OpenAI Model is created, copy down the 'Endpoint', 'Keys', and 'Region'
 
- :::image type="content" source="./media/azure-open-ai-keys-and-endpoints.png" alt-text="Screenshot of of key and endpoint page for Azure Open AU.":::
+      :::image type="content" source="./media/azure-openai-keys-and-endpoints.png" alt-text="Screenshot of key and endpoint page for Azure OpenAI.":::
 
 6. In the Azure portal, navigate to your newly created Function App Environmental Variables blade and create the following variables:
 
- :::image type="content" source="./media/azure-function-enviornment-settings.png" alt-text="Screenshot of of Azure function enviornment settings example.":::
+      :::image type="content" source="./media/azure-function-environment-settings.png" alt-text="Screenshot of Azure function environment settings example.":::
 
 | Name            | Value            | Description                                                        |
 |-----------------|------------------|--------------------------------------------------------------------|
@@ -117,7 +118,7 @@ Workers are evaluated based on:
 8. Navigate to your ACS resource and copy down your connection string.
 9. Open the JR_AOAI_Integration Console application and open the `appsettings.json` file to update the following config settings.
 
- :::image type="content" source="./media/appsettings-configuration.png" alt-text="Screenshot of AppSettings.":::
+      :::image type="content" source="./media/appsettings-configuration.png" alt-text="Screenshot of AppSettings.":::
 
 10. Run the application and follow the on-screen instructions to Create a Job.
 

articles/communication-services/quickstarts/router/media/azure-function-enviornment-settings.png renamed to articles/communication-services/quickstarts/router/media/azure-function-environment-settings.png

@@ -199,8 +199,8 @@ items:
     items: 
       - name: Submit a job for queuing and routing
         href: quickstarts/router/get-started-router.md
-      - name: Integrating Azure OpenAI with Job Router
-        href: quickstarts/router/job-router-azure-open-ai-integration.md
+      - name: Integrate Azure OpenAI with Job Router
+        href: quickstarts/router/job-router-azure-openai-integration.md
   - name: Network Traversal
     items:
     - name: Access TURN relays