{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from wenxin_llm import Wenxin_LLM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from dotenv import find_dotenv, load_dotenv\n",
    "import os\n",
    "\n",
    "# 读取本地/项目的环境变量。\n",
    "\n",
    "# find_dotenv()寻找并定位.env文件的路径\n",
    "# load_dotenv()读取该.env文件，并将其中的环境变量加载到当前的运行环境中\n",
    "# 如果你设置的是全局的环境变量，这行代码则没有任何作用。\n",
    "_ = load_dotenv(find_dotenv())\n",
    "\n",
    "# 获取环境变量 OPENAI_API_KEY\n",
    "wenxin_api_key = os.environ[\"wenxin_api_key\"]\n",
    "wenxin_secret_key = os.environ[\"wenxin_secret_key\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "llm = Wenxin_LLM(model = \"ERNIE-Bot-turbo\", api_key=wenxin_api_key, secret_key=wenxin_secret_key)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'您好，我是百度研发的知识增强大语言模型，中文名是文心一言，英文名是ERNIE Bot。我能够与人对话互动，回答问题，协助创作，高效便捷地帮助人们获取信息、知识和灵感。\\n\\n如果您有任何问题，请随时告诉我。'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "llm(\"你是谁\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from spark_llm import Spark_LLM"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "from dotenv import find_dotenv, load_dotenv\n",
    "import os\n",
    "\n",
    "# 读取本地/项目的环境变量。\n",
    "\n",
    "# find_dotenv()寻找并定位.env文件的路径\n",
    "# load_dotenv()读取该.env文件，并将其中的环境变量加载到当前的运行环境中\n",
    "# 如果你设置的是全局的环境变量，这行代码则没有任何作用。\n",
    "_ = load_dotenv(find_dotenv())\n",
    "#填写控制台中获取的 APPID 信息\n",
    "appid = os.environ[\"spark_appid\"]\n",
    "#填写控制台中获取的 APISecret 信息\n",
    "api_secret = os.environ[\"spark_api_secret\"]\n",
    "#填写控制台中获取的 APIKey 信息\n",
    "api_key = os.environ[\"spark_api_key\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "llm = Spark_LLM(model = \"spark\", appid=appid, api_secret=api_secret, api_key=api_key)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\n\\n我是一个AI语言模型，可以回答你的问题和提供帮助。'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "llm(\"你是谁\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "from zhipuai_llm import ZhipuAILLM\n",
    "\n",
    "from dotenv import find_dotenv, load_dotenv\n",
    "import os\n",
    "\n",
    "# 读取本地/项目的环境变量。\n",
    "\n",
    "# find_dotenv()寻找并定位.env文件的路径\n",
    "# load_dotenv()读取该.env文件，并将其中的环境变量加载到当前的运行环境中\n",
    "# 如果你设置的是全局的环境变量，这行代码则没有任何作用。\n",
    "_ = load_dotenv(find_dotenv())\n",
    "\n",
    "api_key = os.environ[\"ZHIPUAI_API_KEY\"]    #填写控制台中获取的 APIKey 信息"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'我是一个名为 ChatGLM 的人工智能助手，由智谱 AI 公司于2023年训练的语言模型开发而成。我的任务是针对用户的问题和要求提供适当的答复和支持。'"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "llm = ZhipuAILLM(model=\"chatglm_pro\", zhipuai_api_key=api_key, temperature=0.1)\n",
    "llm(\"你是谁\") "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "测试原生接口"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "from call_llm import get_completion"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "from dotenv import find_dotenv, load_dotenv\n",
    "import os\n",
    "\n",
    "# 读取本地/项目的环境变量。\n",
    "\n",
    "# find_dotenv()寻找并定位.env文件的路径\n",
    "# load_dotenv()读取该.env文件，并将其中的环境变量加载到当前的运行环境中\n",
    "# 如果你设置的是全局的环境变量，这行代码则没有任何作用。\n",
    "_ = load_dotenv(find_dotenv())\n",
    "\n",
    "# 获取环境变量 OPENAI_API_KEY\n",
    "openai_api_key = os.environ[\"OPENAI_API_KEY\"]\n",
    "wenxin_api_key = os.environ[\"wenxin_api_key\"]\n",
    "wenxin_secret_key = os.environ[\"wenxin_secret_key\"]\n",
    "spark_appid = os.environ[\"spark_appid\"]\n",
    "spark_api_secret = os.environ[\"spark_api_secret\"]\n",
    "spark_api_key = os.environ[\"spark_api_key\"]\n",
    "zhipu_api_key = os.environ[\"ZHIPUAI_API_KEY\"]\n",
    "\n",
    "# os.environ['HTTPS_PROXY'] = 'http://127.0.0.1:7890'\n",
    "# os.environ[\"HTTP_PROXY\"] = 'http://127.0.0.1:7890'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'我是一个人工智能助手，可以回答你的问题并提供帮助。有什么可以帮到你的吗？'"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_completion(\"你是谁\",model=\"gpt-3.5-turbo\", api_key=openai_api_key)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'您好，我是百度研发的知识增强大语言模型，中文名是文心一言，英文名是ERNIE Bot。我能够与人对话互动，回答问题，协助创作，高效便捷地帮助人们获取信息、知识和灵感。'"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_completion(\"你是谁\",model=\"ERNIE-Bot-turbo\", api_key=wenxin_api_key, secret_key=wenxin_secret_key)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\n\\n我是一个AI语言模型，可以回答你的问题和提供帮助。'"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_completion(\"你是谁\",model=\"Spark-1.5\", appid=spark_appid, api_key=spark_api_key, api_secret=spark_api_secret)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'我是一个名为 ChatGLM 的人工智能助手，由智谱 AI 公司于2023年训练的语言模型开发而成。我的任务是针对用户的问题和要求提供适当的答复和支持。'"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "get_completion(\"你是谁\",model=\"chatglm_std\", api_key=zhipu_api_key)"
   ]
  }
 ],
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