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In this guide, you build an AI chat application and iterate on the prompt using chat completion configuration dynamically loaded from Azure App Configuration.
The full sample source code is available in the Azure App Configuration GitHub repository.
Prerequisites
- Complete the tutorial to Create a chat completion configuration.
- Go 1.21 or later. Install Go.
Create a console app
Create a new directory for your project and navigate to it:
mkdir chatapp-quickstart cd chatapp-quickstartInitialize a new Go module:
go mod init chatapp-quickstartInstall the required Go packages:
go get github.com/Azure/AppConfiguration-GoProvider/azureappconfiguration go get github.com/Azure/azure-sdk-for-go/sdk/azidentity go get github.com/openai/openai-goCreate a file named
main.goand add the following import statements:package main import ( "bufio" "context" "fmt" "log" "os" "github.com/Azure/AppConfiguration-GoProvider/azureappconfiguration" "github.com/Azure/azure-sdk-for-go/sdk/azidentity" openai "github.com/openai/openai-go" "github.com/openai/openai-go/azure" )Define the configuration structures and create a global credential variable:
type AIConfig struct { ChatCompletion ChatCompletion AzureOpenAI AzureOpenAI } type ChatCompletion struct { Model string `json:"model"` Messages []Message `json:"messages"` MaxTokens int64 `json:"max_tokens"` Temperature float64 `json:"temperature"` TopP float64 `json:"top_p"` } type AzureOpenAI struct { Endpoint string APIVersion string APIKey string } type Message struct { Role string `json:"role"` Content string `json:"content"` } var aiConfig AIConfig var tokenCredential, _ = azidentity.NewDefaultAzureCredential(nil)Create a function to load configuration from Azure App Configuration.
You can connect to App Configuration using either Microsoft Entra ID (recommended) or a connection string. In this example, you use Microsoft Entra ID with
DefaultAzureCredentialto authenticate to your App Configuration store. Follow these instructions to assign the App Configuration Data Reader role to the identity represented byDefaultAzureCredential. Be sure to allow sufficient time for the permission to propagate before running your application.// Load configuration from Azure App Configuration func loadAzureAppConfiguration(ctx context.Context) (*azureappconfiguration.AzureAppConfiguration, error) { endpoint := os.Getenv("AZURE_APPCONFIGURATION_ENDPOINT") if endpoint == "" { return nil, fmt.Errorf("AZURE_APPCONFIGURATION_ENDPOINT environment variable is not set") } authOptions := azureappconfiguration.AuthenticationOptions{ Endpoint: endpoint, Credential: tokenCredential, } options := &azureappconfiguration.Options{ Selectors: []azureappconfiguration.Selector{ // Load all keys that start with "ChatApp:" and have no label { KeyFilter: "ChatApp:*", }, }, TrimKeyPrefixes: []string{"ChatApp:"}, // Reload configuration if any selected key-values have changed. // Use the default refresh interval of 30 seconds. It can be overridden via RefreshOptions.Interval RefreshOptions: azureappconfiguration.KeyValueRefreshOptions{ Enabled: true, }, KeyVaultOptions: azureappconfiguration.KeyVaultOptions{ Credential: tokenCredential, }, } return azureappconfiguration.Load(ctx, authOptions, options) }Create the main function that configures chat completion with AI configuration and registers a callback to refresh AI configuration on changes.
func main() { configProvider, err := loadAzureAppConfiguration(context.Background()) if err != nil { log.Fatal("Error loading Azure App Configuration:", err) } // Configure chat completion with AI configuration configProvider.Unmarshal(&aiConfig, &azureappconfiguration.ConstructionOptions{Separator: ":"}) // Register a callback to refresh AI configuration on changes configProvider.OnRefreshSuccess(func() { configProvider.Unmarshal(&aiConfig, &azureappconfiguration.ConstructionOptions{Separator: ":"}) }) }Create an instance of the
AzureOpenAIClientto connect to your Azure OpenAI resource. You can use either Microsoft Entra ID or API key for authentication.To access your Azure OpenAI resource with Microsoft Entra ID, you use
DefaultAzureCredential. Assign the Cognitive Services OpenAI User role to the identity represented byDefaultAzureCredential. For detailed steps, refer to the Role-based access control for Azure OpenAI service guide. Be sure to allow sufficient time for the permission to propagate before running your application.openAIClient := openai.NewClient(azure.WithEndpoint(aiConfig.AzureOpenAI.Endpoint, aiConfig.AzureOpenAI.APIVersion), azure.WithTokenCredential(tokenCredential))To access your Azure OpenAI resource with an API key, add the following code. If the key ChatApp:AzureOpenAI:ApiKey is a Key Vault reference in App Configuration, make sure to grant your app access to Key Vault.
openAIClient := openai.NewClient(azure.WithAPIKey(aiConfig.AzureOpenAI.APIKey), azure.WithEndpoint(aiConfig.AzureOpenAI.Endpoint, aiConfig.AzureOpenAI.APIVersion))Create a function to get AI responses from the OpenAI client:
func getAIResponse(openAIClient openai.Client, chatConversation []openai.ChatCompletionMessageParamUnion) (string, error) { var completionMessages []openai.ChatCompletionMessageParamUnion for _, msg := range aiConfig.ChatCompletion.Messages { switch msg.Role { case "system": completionMessages = append(completionMessages, openai.SystemMessage(msg.Content)) case "user": completionMessages = append(completionMessages, openai.UserMessage(msg.Content)) case "assistant": completionMessages = append(completionMessages, openai.AssistantMessage(msg.Content)) } } // Add the chat conversation history completionMessages = append(completionMessages, chatConversation...) // Create chat completion parameters params := openai.ChatCompletionNewParams{ Messages: completionMessages, Model: aiConfig.ChatCompletion.Model, MaxTokens: openai.Int(aiConfig.ChatCompletion.MaxTokens), Temperature: openai.Float(aiConfig.ChatCompletion.Temperature), TopP: openai.Float(aiConfig.ChatCompletion.TopP), } if completion, err := openAIClient.Chat.Completions.New(context.Background(), params); err != nil { return "", err } else { return completion.Choices[0].Message.Content, nil } }Next, update the main function to add the chat loop:
func main() { // ...Existing code... // Initialize chat conversation var chatConversation []openai.ChatCompletionMessageParamUnion fmt.Println("Chat started! What's on your mind?") reader := bufio.NewReader(os.Stdin) for { // Refresh the configuration from Azure App Configuration configProvider.Refresh(context.Background()) // Get user input fmt.Print("You: ") userInput, _ := reader.ReadString('\n') // Exit if user input is empty if userInput == "" { fmt.Println("Exiting Chat. Goodbye!") break } // Add user message to chat conversation chatConversation = append(chatConversation, openai.UserMessage(userInput)) // Get AI response and add it to chat conversation response, _ := getAIResponse(openAIClient, chatConversation) fmt.Printf("AI: %s\n", response) chatConversation = append(chatConversation, openai.AssistantMessage(response)) fmt.Println() } }After completing the previous steps, your
main.gofile should now contain the complete implementation as shown below:package main import ( "bufio" "context" "fmt" "log" "os" "github.com/Azure/AppConfiguration-GoProvider/azureappconfiguration" "github.com/Azure/azure-sdk-for-go/sdk/azidentity" openai "github.com/openai/openai-go" "github.com/openai/openai-go/azure" ) type AIConfig struct { ChatCompletion ChatCompletion AzureOpenAI AzureOpenAI } type ChatCompletion struct { Model string `json:"model"` Messages []Message `json:"messages"` MaxTokens int64 `json:"max_tokens"` Temperature float64 `json:"temperature"` TopP float64 `json:"top_p"` } type AzureOpenAI struct { Endpoint string APIVersion string APIKey string } type Message struct { Role string `json:"role"` Content string `json:"content"` } var aiConfig AIConfig var tokenCredential, _ = azidentity.NewDefaultAzureCredential(nil) func main() { configProvider, err := loadAzureAppConfiguration(context.Background()) if err != nil { log.Fatal("Error loading Azure App Configuration:", err) } // Configure chat completion with AI configuration configProvider.Unmarshal(&aiConfig, &azureappconfiguration.ConstructionOptions{Separator: ":"}) // Register a callback to refresh AI configuration on changes configProvider.OnRefreshSuccess(func() { configProvider.Unmarshal(&aiConfig, &azureappconfiguration.ConstructionOptions{Separator: ":"}) }) // Create a chat client using API key if available, otherwise use the DefaultAzureCredential var openAIClient openai.Client if aiConfig.AzureOpenAI.APIKey != "" { openAIClient = openai.NewClient(azure.WithAPIKey(aiConfig.AzureOpenAI.APIKey), azure.WithEndpoint(aiConfig.AzureOpenAI.Endpoint, aiConfig.AzureOpenAI.APIVersion)) } else { openAIClient = openai.NewClient(azure.WithEndpoint(aiConfig.AzureOpenAI.Endpoint, aiConfig.AzureOpenAI.APIVersion), azure.WithTokenCredential(tokenCredential)) } // Initialize chat conversation var chatConversation []openai.ChatCompletionMessageParamUnion fmt.Println("Chat started! What's on your mind?") reader := bufio.NewReader(os.Stdin) for { // Refresh the configuration from Azure App Configuration configProvider.Refresh(context.Background()) // Get user input fmt.Print("You: ") userInput, _ := reader.ReadString('\n') // Exit if user input is empty if userInput == "" { fmt.Println("Exiting Chat. Goodbye!") break } // Add user message to chat conversation chatConversation = append(chatConversation, openai.UserMessage(userInput)) // Get AI response and add it to chat conversation response, _ := getAIResponse(openAIClient, chatConversation) fmt.Printf("AI: %s\n", response) chatConversation = append(chatConversation, openai.AssistantMessage(response)) fmt.Println() } } // Load configuration from Azure App Configuration func loadAzureAppConfiguration(ctx context.Context) (*azureappconfiguration.AzureAppConfiguration, error) { endpoint := os.Getenv("AZURE_APPCONFIGURATION_ENDPOINT") if endpoint == "" { return nil, fmt.Errorf("AZURE_APPCONFIGURATION_ENDPOINT environment variable is not set") } authOptions := azureappconfiguration.AuthenticationOptions{ Endpoint: endpoint, Credential: tokenCredential, } options := &azureappconfiguration.Options{ Selectors: []azureappconfiguration.Selector{ // Load all keys that start with "ChatApp:" and have no label { KeyFilter: "ChatApp:*", }, }, TrimKeyPrefixes: []string{"ChatApp:"}, // Reload configuration if any selected key-values have changed. // Use the default refresh interval of 30 seconds. It can be overridden via RefreshOptions.Interval RefreshOptions: azureappconfiguration.KeyValueRefreshOptions{ Enabled: true, }, KeyVaultOptions: azureappconfiguration.KeyVaultOptions{ Credential: tokenCredential, }, } return azureappconfiguration.Load(ctx, authOptions, options) } func getAIResponse(openAIClient openai.Client, chatConversation []openai.ChatCompletionMessageParamUnion) (string, error) { var completionMessages []openai.ChatCompletionMessageParamUnion for _, msg := range aiConfig.ChatCompletion.Messages { switch msg.Role { case "system": completionMessages = append(completionMessages, openai.SystemMessage(msg.Content)) case "user": completionMessages = append(completionMessages, openai.UserMessage(msg.Content)) case "assistant": completionMessages = append(completionMessages, openai.AssistantMessage(msg.Content)) } } // Add the chat conversation history completionMessages = append(completionMessages, chatConversation...) // Create chat completion parameters params := openai.ChatCompletionNewParams{ Messages: completionMessages, Model: aiConfig.ChatCompletion.Model, MaxTokens: openai.Int(aiConfig.ChatCompletion.MaxTokens), Temperature: openai.Float(aiConfig.ChatCompletion.Temperature), TopP: openai.Float(aiConfig.ChatCompletion.TopP), } if completion, err := openAIClient.Chat.Completions.New(context.Background(), params); err != nil { return "", err } else { return completion.Choices[0].Message.Content, nil } }
Build and run the app
Set the environment variable named AZURE_APPCONFIGURATION_ENDPOINT to the endpoint of your App Configuration store found under the Overview of your store in the Azure portal.
If you use the Windows command prompt, run the following command and restart the command prompt to allow the change to take effect:
setx AZURE_APPCONFIGURATION_ENDPOINT "<endpoint-of-your-app-configuration-store>"If you use PowerShell, run the following command:
$Env:AZURE_APPCONFIGURATION_ENDPOINT = "<endpoint-of-your-app-configuration-store>"If you use macOS or Linux run the following command:
export AZURE_APPCONFIGURATION_ENDPOINT='<endpoint-of-your-app-configuration-store>'After the environment variable is properly set, run the following commands to build and run your app:
go mod tidy go run main.goType the message "What is your name?" when prompted with "You:" and then press the Enter key.
Chat started! What's on your mind? You: What is your name? AI: I'm your helpful assistant! I don't have a personal name, but you can call me whatever you'd like. 😊 Do you have a name in mind?In Azure portal, select the App Configuration store instance that you created. From the Operations menu, select Configuration explorer and select the ChatApp:ChatCompletion key. Update the value of the Messages property:
- Role: system
- Content: "You are a pirate and your name is Eddy."
Type the same message when prompted with "You:". Be sure to wait a few moments for the refresh interval to elapse, and then press the Enter key to see the updated AI response in the output.
Chat started! What's on your mind? You: What is your name? AI: I'm your helpful assistant! I don't have a personal name, but you can call me whatever you'd like. 😊 Do you have a name in mind? You: What is your name? AI: Arrr, matey! Me name be Eddy, the most fearsome pirate to ever sail the seven seas! What be yer name, landlubber?