Add Minimax chat model (#10776)

resolve the merging issues for
https://github.com/langchain-ai/langchain/pull/6757

---------

Co-authored-by: 何涛 <taohe@bytedance.com>

docs/extras/integrations/chat/minimax.ipynb

@@ -0,0 +1,70 @@
+{
+ "cells": [
+  {
+   "attachments": {},
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# MiniMax\n",
+    "\n",
+    "[Minimax](https://api.minimax.chat) is a Chinese startup that provides LLM service for companies and individuals.\n",
+    "\n",
+    "This example goes over how to use LangChain to interact with MiniMax Inference for Chat."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "\n",
+    "os.environ[\"MINIMAX_GROUP_ID\"] = \"MINIMAX_GROUP_ID\"\n",
+    "os.environ[\"MINIMAX_API_KEY\"] = \"MINIMAX_API_KEY\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain.chat_models import MiniMaxChat\n",
+    "from langchain.schema import HumanMessage"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "chat = MiniMaxChat()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "chat(\n",
+    "    [\n",
+    "        HumanMessage(\n",
+    "            content=\"Translate this sentence from English to French. I love programming.\"\n",
+    "        )\n",
+    "    ]\n",
+    ")"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

docs/extras/integrations/llms/minimax.ipynb

@@ -94,7 +94,8 @@
    "outputs": [],
    "source": [
     "from langchain.llms import Minimax\n",
-    "from langchain.prompts import PromptTemplate\nfrom langchain.chains import LLMChain"
+    "from langchain.prompts import PromptTemplate\n",
+    "from langchain.chains import LLMChain"
    ],
    "metadata": {
     "collapsed": false

docs/extras/integrations/llms/modal.ipynb

@@ -108,7 +108,8 @@
    "outputs": [],
    "source": [
     "from langchain.llms import Modal\n",
-    "from langchain.prompts import PromptTemplate\nfrom langchain.chains import LLMChain"
+    "from langchain.prompts import PromptTemplate\n",
+    "from langchain.chains import LLMChain"
    ]
   },
   {

docs/extras/integrations/providers/minimax.mdx

@@ -17,6 +17,14 @@ See a [usage example](/docs/modules/model_io/models/llms/integrations/minimax.ht
 from langchain.llms import Minimax
 ```
 
+## Chat Models
+
+See a [usage example](/docs/modules/model_io/models/chat/integrations/minimax.html)
+
+```python
+from langchain.chat_models import MiniMaxChat
+```
+
 ## Text Embedding Model
 
 There exists a Minimax Embedding model, which you can access with