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

Introduction

Hey there, fellow Go enthusiast! Ready to supercharge your app with some AI goodness? Let's dive into integrating the Seamless AI API into your Go project. This powerhouse API will help you tap into a wealth of contact and company data, making your app smarter and more efficient.

Prerequisites

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

• Go installed (I know, obvious, right?)
• A Seamless AI API key (grab one from their website if you haven't already)

Setting up the project

Let's kick things off:

mkdir seamless-ai-integration
cd seamless-ai-integration
go mod init github.com/yourusername/seamless-ai-integration

Now, let's grab the HTTP client we'll need:

go get github.com/go-resty/resty/v2

Configuring the API client

Time to set up our client:

package main

import (
    "github.com/go-resty/resty/v2"
)

const baseURL = "https://api.seamless.ai/v1"

func newClient(apiKey string) *resty.Client {
    return resty.New().
        SetBaseURL(baseURL).
        SetHeader("Authorization", "Bearer "+apiKey).
        SetHeader("Content-Type", "application/json")
}

Implementing core functionality

Let's create a function to make API requests:

func makeRequest(client *resty.Client, method, endpoint string, body interface{}) ([]byte, error) {
    resp, err := client.R().
        SetBody(body).
        Execute(method, endpoint)

    if err != nil {
        return nil, err
    }

    if resp.IsError() {
        return nil, fmt.Errorf("API error: %s", resp.Status())
    }

    return resp.Body(), nil
}

Building specific features

Now for the fun part! Let's implement a contact search:

func searchContacts(client *resty.Client, query string) ([]byte, error) {
    body := map[string]string{"query": query}
    return makeRequest(client, "POST", "/contacts/search", body)
}

And how about fetching company info?

func getCompanyInfo(client *resty.Client, companyID string) ([]byte, error) {
    return makeRequest(client, "GET", "/companies/"+companyID, nil)
}

Optimizing performance

To keep things smooth, let's add some rate limiting:

import "golang.org/x/time/rate"

var limiter = rate.NewLimiter(rate.Every(time.Second), 5)

func makeRequest(client *resty.Client, method, endpoint string, body interface{}) ([]byte, error) {
    if err := limiter.Wait(context.Background()); err != nil {
        return nil, err
    }
    // ... rest of the function
}

Testing the integration

Don't forget to test! Here's a quick example:

func TestSearchContacts(t *testing.T) {
    client := newClient("your-api-key")
    result, err := searchContacts(client, "John Doe")
    if err != nil {
        t.Fatalf("Search failed: %v", err)
    }
    // Add assertions here
}

Best practices and considerations

Remember to:

• Log errors comprehensively
• Keep your API key safe (use environment variables!)
• Handle API rate limits gracefully

Conclusion

And there you have it! You've just built a solid Seamless AI API integration in Go. Pretty cool, right? From here, you can expand on this foundation to create even more awesome features. The AI-powered sky's the limit!

Happy coding, and may your Go programs be ever seamless!