langchain/docs/extras/integrations/chat/azure_chat_openai.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "38f26d7a",
   "metadata": {},
   "source": [
    "# Azure\n",
    "\n",
    "This notebook goes over how to connect to an Azure hosted OpenAI endpoint"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "96164b42",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.chat_models import AzureChatOpenAI\n",
    "from langchain.schema import HumanMessage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "8161278f",
   "metadata": {},
   "outputs": [],
   "source": [
    "BASE_URL = \"https://${TODO}.openai.azure.com\"\n",
    "API_KEY = \"...\"\n",
    "DEPLOYMENT_NAME = \"chat\"\n",
    "model = AzureChatOpenAI(\n",
    "    openai_api_base=BASE_URL,\n",
    "    openai_api_version=\"2023-05-15\",\n",
    "    deployment_name=DEPLOYMENT_NAME,\n",
    "    openai_api_key=API_KEY,\n",
    "    openai_api_type=\"azure\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "99509140",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "AIMessage(content=\"\\n\\nJ'aime programmer.\", additional_kwargs={})"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model(\n",
    "    [\n",
    "        HumanMessage(\n",
    "            content=\"Translate this sentence from English to French. I love programming.\"\n",
    "        )\n",
    "    ]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "3b6e9376",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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