Learn how to integrate Bolt.new AI with Sinch in our step-by-step guide. Follow best practices for seamless implementation and enhanced AI communications.
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In your Bolt.new AI project, start by creating a new file to manage all Sinch-related functions. Name this file sinchService.ts
. This file will contain the TypeScript code that initializes and makes calls to Sinch APIs.
/* Import the Sinch SDK module.
Note: Since Bolt.new does not have a terminal, add the dependency manually by editing your project's
package.json. Under "dependencies", add:
"sinch-rtc": "^1.0.0"
(Use the appropriate version as recommended in Sinch documentation.)
*/
import Sinch from 'sinch-rtc';
export class SinchService {
private sinchClient: any;
// Initialize the Sinch client with your credentials.
constructor(appKey: string, appSecret: string) {
// The init method may vary depending on the Sinch SDK version.
this.sinchClient = Sinch({
applicationKey: appKey,
applicationSecret: appSecret,
// Additional configuration, like log level, if needed.
logLevel: 'debug'
});
}
// A method to start your Sinch client. Typically used to initialize services.
public async start() {
try {
await this.sinchClient.start();
console.log('Sinch client started successfully.');
} catch (error) {
console.error('Error starting Sinch client:', error);
}
}
// Example method: sending a message using Sinch.
public async sendMessage(recipient: string, message: string) {
try {
const result = await this.sinchClient.messaging.send({
to: recipient,
message: message
});
console.log('Message sent successfully:', result);
} catch (error) {
console.error('Error sending message:', error);
}
}
}
Next, open the main TypeScript file of your Bolt.new AI project (for example, main.ts
or a similar entry point). In this file, import the SinchService you just created and initialize it with your Sinch credentials. Insert the following code snippet in an appropriate location (for example, near the top where you set up your services):
import { SinchService } from './sinchService';
// Replace these with your actual Sinch application key and secret.
const sinchAppKey = 'YOURSINCHAPP_KEY';
const sinchAppSecret = 'YOURSINCHAPP_SECRET';
// Initialize the Sinch Service.
const sinchService = new SinchService(sinchAppKey, sinchAppSecret);
// Start the Sinch client when your application loads.
sinchService.start();
// Example usage: sending a message once your app is ready.
// You can trigger this from an event handler or API request.
async function exampleSendMessage() {
const recipient = 'recipient_identifier';
const message = 'Hello, this is a test message from Bolt.new AI integration!';
await sinchService.sendMessage(recipient, message);
}
export { sinchService, exampleSendMessage };
Since Bolt.new AI does not have a terminal available, you must manually specify any dependency required by your project. Open your package.json
file (usually located at the root of your project) and add the Sinch dependency inside the "dependencies" section. It should look similar to this:
{
"name": "your-bolt-project",
"version": "1.0.0",
"dependencies": {
"sinch-rtc": "^1.0.0",
// Add other dependencies here as needed
}
}
When you save this file, Bolt.new AI will use the updated dependency list to load the Sinch module accordingly.
Review your application flow to decide where you need to use Sinch functionality. For example, if you have an API endpoint for messaging, import and call exampleSendMessage()
from your API handler. Here is an example of how you might integrate it:
import { exampleSendMessage } from './main';
// This function might be triggered by an incoming request or event in your application.
async function onUserActionTrigger() {
try {
await exampleSendMessage();
console.log('Triggered Sinch message sending.');
} catch (error) {
console.error('Error during triggered action:', error);
}
}
// Call your trigger function as needed
onUserActionTrigger();
After inserting the above code snippets:
main.ts
file.package.json
to confirm the dependency is listed accurately.By following these steps, you integrate Sinch into your Bolt.new AI project with detailed instructions and code snippets that can be inserted directly into your project files.
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