以下是一个简单的Golang代码示例,展示如何使用Go Wechaty和chatGPT API在微信中进行聊天:

package main

import (
    "fmt"
    "github.com/wechaty/go-wechaty/wechaty"
    "github.com/wechaty/go-wechaty/wechaty/user"
    "github.com/wechaty/go-wechaty/wechaty/user/message"
    "net/http"
    "net/url"
    "bytes"
    "io/ioutil"
)

// chatGPT API endpoint
const chatGPTApiEndpoint = "http://your-chatgpt-api-endpoint.com/chat"

func main() {
    // create a Wechaty instance
    bot, err := wechaty.NewWechaty()
    if err != nil {
        panic(err)
    }

    // register message event handler
    bot.OnMessage(func(m *message.Message) {
        // ignore non-text messages and messages sent by self
        if !m.IsText() || m.Self() {
            return
        }

        // send message to chatGPT API
        chatgptResponse, err := sendToChatGPTApi(m.Text())
        if err != nil {
            fmt.Println(err)
            return
        }

        // reply to message with chatGPT response
        _, err = m.Say(chatgptResponse)
        if err != nil {
            fmt.Println(err)
            return
        }
    })

    // start Wechaty bot
    bot.Start()
}

// send message to chatGPT API
func sendToChatGPTApi(message string) (string, error) {
    // create HTTP POST request
    reqData := url.Values{}
    reqData.Set("message", message)
    reqBody := bytes.NewBufferString(reqData.Encode())
    req, err := http.NewRequest("POST", chatGPTApiEndpoint, reqBody)
    if err != nil {
        return "", err
    }

    // set HTTP headers
    req.Header.Add("Content-Type", "application/x-www-form-urlencoded")

    // send HTTP request
    httpClient := http.Client{}
    resp, err := httpClient.Do(req)
    if err != nil {
        return "", err
    }
    defer resp.Body.Close()

    // read HTTP response
    respBody, err := ioutil.ReadAll(resp.Body)
    if err != nil {
        return "", err
    }

    // extract chatGPT response from HTTP response
    chatgptResponse := string(respBody)

    return chatgptResponse, nil
}

在上面的代码中,我们使用Go Wechaty来监听微信的消息事件,并将收到的消息发送到chatGPT API。然后,我们将chatGPT API的响应发送回微信,以便与用户进行聊天。