langchain/docs/docs/integrations/chat/hunyuan.ipynb

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  {
   "cell_type": "markdown",
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   "source": [
    "# Tencent Hunyuan\n",
    "\n",
    "Hunyuan chat model API by Tencent. For more information, see [https://cloud.tencent.com/document/product/1729](https://cloud.tencent.com/document/product/1729)"
   ]
  },
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    }
   },
   "outputs": [],
   "source": [
    "from langchain.chat_models import ChatHunyuan\n",
    "from langchain.schema import HumanMessage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-10-19T10:19:53.529876Z",
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   "outputs": [],
   "source": [
    "chat = ChatHunyuan(\n",
    "    hunyuan_app_id=111111111,\n",
    "    hunyuan_secret_id=\"YOUR_SECRET_ID\",\n",
    "    hunyuan_secret_key=\"YOUR_SECRET_KEY\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
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   },
   "outputs": [
    {
     "data": {
      "text/plain": "AIMessage(content=\"J'aime programmer.\")"
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chat(\n",
    "    [\n",
    "        HumanMessage(\n",
    "            content=\"You are a helpful assistant that translates English to French.Translate this sentence from English to French. I love programming.\"\n",
    "        )\n",
    "    ]\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "source": [
    "## For ChatHunyuan with Streaming"
   ],
   "metadata": {
    "collapsed": false
   }
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "outputs": [],
   "source": [
    "chat = ChatHunyuan(\n",
    "    hunyuan_app_id=\"YOUR_APP_ID\",\n",
    "    hunyuan_secret_id=\"YOUR_SECRET_ID\",\n",
    "    hunyuan_secret_key=\"YOUR_SECRET_KEY\",\n",
    "    streaming=True,\n",
    ")"
   ],
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   }
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "outputs": [
    {
     "data": {
      "text/plain": "AIMessageChunk(content=\"J'aime programmer.\")"
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "chat(\n",
    "    [\n",
    "        HumanMessage(\n",
    "            content=\"You are a helpful assistant that translates English to French.Translate this sentence from English to French. I love programming.\"\n",
    "        )\n",
    "    ]\n",
    ")"
   ],
   "metadata": {
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     "end_time": "2023-10-19T10:20:46.275673Z",
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   "execution_count": null,
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   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "start_time": "2023-10-19T10:19:56.233477Z"
    }
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