Frequently Asked Questions
Use the Sinch SMS API with a Node.js framework like Fastify and a HTTP client such as Axios. This allows you to create an API endpoint that handles MMS sending requests, abstracting the direct interaction with the Sinch API. The provided guide offers a step-by-step approach for setting up such a service.
The Sinch SMS API enables sending SMS and MMS messages programmatically. It offers features like sending text, images, and other media through various channels. In this tutorial, we leverage the REST API directly for sending MMS messages.
Fastify is a high-performance Node.js web framework known for its speed and plugin ecosystem. It's a good choice for building efficient API endpoints and microservices. Features like built-in validation further enhance development and security for sending MMS with Sinch.
A2P 10DLC registration is crucial if you plan to send MMS messages to US phone numbers. This ensures compliance and better deliverability. You'll need to register your Sinch number with a 10-digit long code campaign through Sinch.
You need Node.js and npm installed, a Sinch account with a Service Plan ID, API Token, and an MMS-capable Sinch phone number. Basic command-line familiarity is helpful, and optionally `curl` or Postman for testing, and A2P 10DLC registration for US traffic are highly recommended.
Create a `.env` file in your project root and store your Sinch `SERVICE_PLAN_ID`, `API_TOKEN`, `FROM_NUMBER`, and `REGION`. Load these variables into your application using the `dotenv` package in Node.js. Never commit your `.env` file to version control.
Axios is used as the HTTP client to make requests to the Sinch REST API. It simplifies making API calls and handling responses within the Node.js environment. The Sinch Service module uses Axios to interact with the Sinch API for sending MMS messages.
The architecture supports optional handling of delivery statuses. This can be achieved by configuring a webhook in your Sinch account to receive delivery updates. These updates can be stored in a database and then retrieved through the API when needed.
The provided example uses `try...catch` blocks in both the route handler and the Sinch service to handle errors during the MMS sending process. The code checks response status codes and logs detailed error information, differentiating between client-side and server-side issues.
Use the `@fastify/rate-limit` plugin. Register the plugin with your Fastify app and configure the maximum number of requests allowed within a specific time window. This prevents abuse and protects your Sinch API usage.
`pino-pretty` enhances log readability during development. It formats the structured JSON logs generated by Pino into a more human-readable format. This is especially helpful during development and debugging.
While designed for sending multiple messages, the `/batches` endpoint is also used for single MMS messages. It provides a consistent interface for sending and supports media attachments, making it suitable for our needs.
Yes, you can include a text message with your MMS using the `parameters` object in the Sinch API payload. The specific key name and handling of text might vary by carrier. Ensure you add a text message within this object.
The recommended structure separates concerns by dividing the project into routes, services, and separate files for application configuration and server startup. This improves maintainability and testability. The service file handles interaction with the Sinch API, and the routes file defines the API endpoints.
This guide provides a comprehensive, step-by-step walkthrough for building a production-ready service to send Multimedia Messaging Service (MMS) messages using the Sinch SMS API, Node.js, and the Fastify web framework. We'll cover everything from initial project setup and core API integration to security, error handling, testing, and deployment.
Project Overview and Goals
What We're Building:
We will create a simple but robust Fastify API endpoint that accepts requests to send an MMS message (containing an image or other media hosted at a public URL) to a specified recipient via Sinch.
Problem Solved:
This service provides a straightforward way to integrate MMS sending capabilities into larger applications, abstracting the direct interaction with the Sinch API into a dedicated microservice or API layer. This is useful for applications needing to send media-rich notifications, alerts, or marketing messages.
Technologies Used:
axios
provides clarity and control for this specific task.axios
: A popular promise-based HTTP client for making requests to the Sinch API.dotenv
: To manage environment variables securely for API credentials and configuration.pino-pretty
: To enhance development logging readability.@fastify/rate-limit
: To protect the API endpoint from abuse.tap
: A simple, effective testing framework often used with Fastify.System Architecture:
Final Outcome & Prerequisites:
By the end of this guide, you will have a running Fastify application with a single API endpoint (
POST /send-mms
) capable of sending MMS messages via Sinch.Prerequisites:
curl
or Postman: For testing the API endpoint.1. Setting up the Project
Let's initialize our Node.js project and install the necessary dependencies using
npm
.Step 1: Create Project Directory
Open your terminal and create a new directory for the project, then navigate into it.
Step 2: Initialize npm Project
This creates a
package.json
file to manage project dependencies and scripts. The-y
flag accepts default settings.Step 3: Install Dependencies
We need Fastify,
axios
for HTTP requests,dotenv
for environment variables, and@fastify/rate-limit
for security.Step 4: Install Development Dependencies
We'll use
pino-pretty
for readable logs during development andtap
for testing.Step 5: Create Project Structure
Set up a basic structure for clarity:
Your structure should look like this:
Step 6: Configure
.gitignore
Prevent sensitive files and unnecessary folders from being committed to version control. Add the following to
.gitignore
:Step 7: Configure Environment Variables
Populate
.env.example
with the required variable names. This serves as a template..env.example
:Now, create your local
.env
file by copying.env.example
and fill in your actual credentials obtained from the Sinch dashboard. Never commit your.env
file..env
:Step 8: Add Run Scripts to
package.json
Add scripts for starting the server in development (with pretty logging) and production modes.
package.json
:Why this setup?
routes
,services
,app.js
, andserver.js
makes the application easier to understand, maintain, and test..env
keeps sensitive credentials out of the codebase and allows for different configurations per environment (dev, staging, prod)..gitignore
: Essential for preventing accidental commits of secrets or large directories.pino-pretty
: Improves developer experience by making logs human-readable during development.npm scripts
: Standardizes common tasks like starting the server.2. Implementing Core Functionality (Sinch Service)
Now, let's write the code that interacts directly with the Sinch API to send the MMS message.
File:
src/services/sinchService.js
Explanation:
dotenv
and immediately check if the essential ones (SERVICE_PLAN_ID
,API_TOKEN
,SINCH_FROM_NUMBER
) are present. The application exits if they are missing, preventing runtime errors later.SINCH_REGION
environment variable, defaulting tous
.axios
Instance: We create a dedicatedaxios
instance (sinchApiClient
) pre-configured with thebaseURL
,Authorization
header (using the Bearer token), and standard JSON headers. Setting a timeout prevents requests from hanging indefinitely.sendMms
Function:to
), themediaUrl
, and optionaltext
as arguments./batches
endpoint. While sending a single message, the/batches
endpoint is commonly used and supports MMS.payload
according to the Sinch API specification for sending MMS via the batches endpoint:to
: An array containing the recipient number(s).from
: The Sinch number loaded from environment variables.body
: An object containing theurl
of the media.parameters
: Iftext
is provided, it's added within theparameters
object. This is a common way to include text alongside media in the/batches
endpoint. (Note: Carrier handling of text alongside MMS can vary, consult latest Sinch docs).async/await
to callsinchApiClient.post
.console.info
/console.error
logging for this service module. The Fastify route handler uses the framework's structured logger (fastify.log
).axios
error types (response error, request error, setup error).error.response.data
) if available.3. Building the API Layer (Fastify Route)
Now, let's create the Fastify route that will receive requests and use our
sinchService
to send the MMS.File:
src/routes/mms.js
Explanation:
sendMmsBodySchema
,successResponseSchema
,errorResponseSchema
) for the request body and possible responses. Fastify uses these schemas to:sendMmsBodySchema
, Fastify automatically sends back a 400 Bad Request error before our handler code even runs. This is efficient and secure. We validateto
(E.164 pattern),mediaUrl
(must be a valid URL format), andtext
(optional, max length).additionalProperties: false
prevents unexpected fields.@fastify/swagger
to generate API docs.fastify.post('/send-mms', { schema }, async (request, reply) => { ... })
defines thePOST
endpoint.schema
option attaches our validation and response schemas to the route.to
,mediaUrl
,text
) fromrequest.body
.request.log.info
(Fastify's request-bound logger) for logging within the handler context.sinchService.sendMms
within atry...catch
block.batch_id
received from Sinch.request.log.error
(including the error object for more context) and sends an appropriate error response (attempting to distinguish between 400 Bad Request for likely client/Sinch input errors and 500 Internal Server Error for other issues) with a standardized error payload.4. Integrating Third-Party Services (Sinch - Already Done) & Configuring Fastify App
The core Sinch integration was handled in
src/services/sinchService.js
. Now let's configure our main Fastify application (app.js
) to load environment variables, set up logging, register plugins (like rate limiting), and register our MMS route.File:
src/app.js
File:
src/server.js
Explanation:
src/app.js
(Configuration):dotenv
, therateLimit
plugin, and ourmmsRoutes
.buildApp
Function: Encapsulates app creation and configuration. This pattern is useful for testing, allowing tests to import and build the app without automatically starting the server.app
instance.LOG_LEVEL
from environment variables. It smartly enablespino-pretty
only whenNODE_ENV
is notproduction
, ensuring structured JSON logs in production (better for log aggregation tools) and readable logs in development/testing.@fastify/rate-limit
: Registered usingapp.register
. We set a basic limit (e.g., 100 requests per minute). Comments indicate how to use Redis for distributed limiting or customize the error response.app.register(mmsRoutes, { prefix: '/api/v1' })
: Registers all routes defined inmms.js
under the/api/v1
path prefix. This versions the API.SIGINT
andSIGTERM
signals. This ensures that when the server is asked to stop (e.g., by Ctrl+C, Docker, or Kubernetes), it attempts to finish processing existing requests and close connections cleanly usingapp.close()
before exiting.src/server.js
(Startup):buildApp
function.startServer
Function:buildApp()
to get the configured Fastify instance.app.listen()
to start the HTTP server, listening on thePORT
andHOST
defined in environment variables (or defaults).app.log.info
after the server has successfully started listening. It correctly handles getting the address information.app.log
if available, otherwise falling back toconsole.error
.5. Implementing Error Handling, Logging, and Retry Mechanisms
mms.js
).try...catch
blocks in the route handler (mms.js
) and the service layer (sinchService.js
).request.log
in the route,console.error
in the service), including Sinch API responses when available in the service layer logs.app.js
.pino-pretty
for readable development logs.NODE_ENV
).info
,error
,warn
) providing context. Request-bound logging (request.log
) in the route handler automatically includes request IDs.grep
or log management tools like Datadog, Splunk in production) to diagnose issues. Look for error messages, stack traces, and context like request IDs.axios-retry
integrated with thesinchApiClient
insinchService.js
.npm install axios-retry
src/services/sinchService.js
):/batches
endpoint, especially if using a uniqueclient_reference
(not shown here) for idempotency. Avoid retrying on non-recoverable errors like 4xx client errors (e.g., invalid number format).