Deploy the sample ai servcie chat-agent, and explore the power of Azure Open AI service.

Step by step guidance

1. Run the following commands to deploy the sample chat-agent AI application to Azure Container App.

      
   APP_NAME=chat-agent
   UMI_ID=$(az identity show --resource-group $RESOURCE_GROUP --name $ACA_IDENTITY --query id --output tsv)
   CLIENT_ID=$(az identity show --resource-group $RESOURCE_GROUP --name $ACA_IDENTITY --query clientId  --output tsv)
      
   OPEN_AI_ENDPOINT=$(az cognitiveservices account show --name $OPEN_AI_SERVICE_NAME --resource-group $RESOURCE_GROUP --query properties.endpoint --output tsv)
   
   az containerapp create \
      --name $APP_NAME \
      --resource-group $RESOURCE_GROUP \
      --ingress internal \
      --target-port 8080 \
      --environment $ACA_ENVIRONMENT \
      --min-replicas 1 \
      --artifact ./spring-petclinic-chat-agent/target/spring-petclinic-chat-agent-$VERSION.jar \
      --user-assigned $UMI_ID \
      --env-vars SPRING_AI_AZURE_OPENAI_ENDPOINT=$OPEN_AI_ENDPOINT SPRING_AI_AZURE_OPENAI_CLIENT_ID=$CLIENT_ID \
      --bind $JAVA_CONFIG_COMP_NAME \
      --runtime java
   

2. Run the below command to get the FQDN of the api-gateway application.

   az containerapp show --name api-gateway \
      --resource-group $RESOURCE_GROUP \
      --query properties.configuration.ingress.fqdn \
      --output tsv
   

3. Workthrough the chat agent. Open your browser with above FQDN and navigate to the agent tab to chat with the AI agent.

   • You can talk with the agent, it can help to query all vets and their specialty.
   • The agent also can help to recommend the vet according to the symptoms of the pet.