Step by Step Guide to Building a Seamless AI API Integration in PHP

Introduction

Hey there, fellow developer! Ready to supercharge your PHP project with some AI goodness? Let's dive into integrating the Seamless AI API. This powerful tool will help you fetch contact info, company data, and enrich leads like a pro. Buckle up!

Prerequisites

Before we jump in, make sure you've got:

• A PHP environment up and running
• A Seamless AI API key (if you don't have one, go grab it from their website)

Setting up the project

Let's get this show on the road:

mkdir seamless-ai-integration
cd seamless-ai-integration
composer init
composer require guzzlehttp/guzzle

Authentication

First things first, let's handle that API key:

<?php
require 'vendor/autoload.php';

$apiKey = 'your_api_key_here';
$client = new \GuzzleHttp\Client([
    'headers' => ['Authorization' => "Bearer $apiKey"]
]);

Pro tip: Keep that API key safe! Use environment variables in production.

Making API requests

Time to reach out to the Seamless AI mothership:

try {
    $response = $client->request('GET', 'https://api.seamless.ai/v1/endpoint');
    $data = json_decode($response->getBody(), true);
} catch (\GuzzleHttp\Exception\GuzzleException $e) {
    // Handle that error like a boss
    error_log("API request failed: " . $e->getMessage());
}

Parsing API responses

Let's make sense of what the API tells us:

if (isset($data['results'])) {
    foreach ($data['results'] as $result) {
        // Do your magic here
    }
} else {
    // Uh-oh, something's not right
    error_log("Unexpected response structure");
}

Implementing core functionalities

Now for the fun part! Here's a quick example of a contact search:

function searchContacts($client, $query) {
    $response = $client->request('GET', 'https://api.seamless.ai/v1/contacts', [
        'query' => ['q' => $query]
    ]);
    return json_decode($response->getBody(), true);
}

$contacts = searchContacts($client, 'John Doe');

Optimizing API usage

Don't be a bandwidth hog! Implement some caching:

function getCachedOrFresh($cacheKey, $ttl, $fetchCallback) {
    $cached = apcu_fetch($cacheKey);
    if ($cached === false) {
        $fresh = $fetchCallback();
        apcu_store($cacheKey, $fresh, $ttl);
        return $fresh;
    }
    return $cached;
}

Error handling and debugging

When things go sideways (and they will), be prepared:

try {
    // Your API call here
} catch (\GuzzleHttp\Exception\ClientException $e) {
    if ($e->getResponse()->getStatusCode() == 429) {
        // Whoa there, cowboy! Slow down those requests
        sleep(5);
        // Retry the request
    } else {
        // Handle other client errors
    }
} catch (\GuzzleHttp\Exception\ServerException $e) {
    // Server's having a bad day, log it and retry later
}

Testing the integration

Don't forget to test! Here's a simple PHPUnit test to get you started:

class SeamlessAITest extends PHPUnit\Framework\TestCase
{
    public function testContactSearch()
    {
        $client = $this->createMock(\GuzzleHttp\Client::class);
        // Set up your mock and assertions
        $this->assertNotEmpty(searchContacts($client, 'John Doe'));
    }
}

Best practices and security considerations

Remember:

• Never commit your API key
• Validate and sanitize all input
• Respect rate limits and data usage policies

Conclusion

And there you have it! You're now armed and dangerous with Seamless AI integration. Go forth and conquer those contact lists, enrich those leads, and may your code be ever bug-free!

Next steps? How about building a slick UI for your new API integration? The sky's the limit!

Happy coding, you magnificent developer, you! 🚀