讯飞星火大模型最新4.0Ultra版本api调用教程python代码（超详细教程，1分钟学会）

1.首先进入讯飞星火大模型官网

 

 

 2.点击左下角“api接入”，点击“在线调试”，随后注册账号，领取免费的token

实名认证后就可以直接领取

 

3.进入后找到最新的spark4.0Ultra

 

 4.记录右上服务器APPID APISecret APIKey的值，将值添加到下面的代码中

# coding: utf-8
import _thread as thread
import os
import time
import base64

import base64
import datetime
import hashlib
import hmac
import json
from urllib.parse import urlparse
import ssl
from datetime import datetime
from time import mktime
from urllib.parse import urlencode
from wsgiref.handlers import format_date_time

import websocket
import openpyxl
from concurrent.futures import ThreadPoolExecutor, as_completed
import os


class Ws_Param(object):
    # 初始化
    def __init__(self, APPID, APIKey, APISecret, gpt_url):
        self.APPID = APPID
        self.APIKey = APIKey
        self.APISecret = APISecret
        self.host = urlparse(gpt_url).netloc
        self.path = urlparse(gpt_url).path
        self.gpt_url = gpt_url

    # 生成url
    def create_url(self):
        # 生成RFC1123格式的时间戳
        now = datetime.now()
        date = format_date_time(mktime(now.timetuple()))

        # 拼接字符串
        signature_origin = "host: " + self.host + "\n"
        signature_origin += "date: " + date + "\n"
        signature_origin += "GET " + self.path + " HTTP/1.1"

        # 进行hmac-sha256进行加密
        signature_sha = hmac.new(self.APISecret.encode('utf-8'), signature_origin.encode('utf-8'),
                                 digestmod=hashlib.sha256).digest()

        signature_sha_base64 = base64.b64encode(signature_sha).decode(encoding='utf-8')

        authorization_origin = f'api_key="{self.APIKey}", algorithm="hmac-sha256", headers="host date request-line", signature="{signature_sha_base64}"'

        authorization = base64.b64encode(authorization_origin.encode('utf-8')).decode(encoding='utf-8')

        # 将请求的鉴权参数组合为字典
        v = {
            "authorization": authorization,
            "date": date,
            "host": self.host
        }
        # 拼接鉴权参数，生成url
        url = self.gpt_url + '?' + urlencode(v)
        # 此处打印出建立连接时候的url,参考本demo的时候可取消上方打印的注释，比对相同参数时生成的url与自己代码生成的url是否一致
        return url


# 收到websocket错误的处理
def on_error(ws, error):
    print("### error:", error)


# 收到websocket关闭的处理
def on_close(ws):
    print("### closed ###")


# 收到websocket连接建立的处理
def on_open(ws):
    thread.start_new_thread(run, (ws,))


def run(ws, *args):
    data = json.dumps(gen_params(appid=ws.appid, query=ws.query, domain=ws.domain))
    ws.send(data)


# 收到websocket消息的处理
def on_message(ws, message):
    # print(message)
    data = json.loads(message)
    code = data['header']['code']
    if code != 0:
        print(f'请求错误: {code}, {data}')
        ws.close()
    else:
        choices = data["payload"]["choices"]
        status = choices["status"]
        content = choices["text"][0]["content"]
        print(content,end='')
        if status == 2:
            print("#### 关闭会话")
            ws.close()


def gen_params(appid, query, domain):
    """
    通过appid和用户的提问来生成请参数
    """

    data = {
        "header": {
            "app_id": appid,
            "uid": "1234",           
            # "patch_id": []    #接入微调模型，对应服务发布后的resourceid          
        },
        "parameter": {
            "chat": {
                "domain": domain,
                "temperature": 0.5,
                "max_tokens": 4096,
                "auditing": "default",
            }
        },
        "payload": {
            "message": {
                "text": [{"role": "user", "content": query}]
            }
        }
    }
    return data


def main(appid, api_secret, api_key, gpt_url, domain, query):
    wsParam = Ws_Param(appid, api_key, api_secret, gpt_url)
    websocket.enableTrace(False)
    wsUrl = wsParam.create_url()

    ws = websocket.WebSocketApp(wsUrl, on_message=on_message, on_error=on_error, on_close=on_close, on_open=on_open)
    ws.appid = appid
    ws.query = query
    ws.domain = domain
    ws.run_forever(sslopt={"cert_reqs": ssl.CERT_NONE})


if __name__ == "__main__":
    main(
        appid="",
        api_secret="",
        api_key="",
        #appid、api_secret、api_key三个服务认证信息请前往开放平台控制台查看（https://console.xfyun.cn/services/bm35）
        gpt_url="wss://spark-api.xf-yun.com/v4.0/chat",
        # Spark_url = "ws://spark-api.xf-yun.com/v3.1/chat"  # v3.0环境的地址
        # Spark_url = "ws://spark-api.xf-yun.com/v2.1/chat"  # v2.0环境的地址
        # Spark_url = "ws://spark-api.xf-yun.com/v1.1/chat"  # v1.5环境的地址
        domain="4.0Ultra",
        # domain = "generalv3"    # v3.0版本
        # domain = "generalv2"    # v2.0版本
        # domain = "general"    # v2.0版本
        query="你和3.5版本有什么区别"
    )

5.运行代码时，可能会报错，注意把未添加的库添加好，如果都添加好了还报错，可以尝试以下调试代码

pip install --upgrade websocket-client  

 6.祝大家都能用上顺手的大模型~