Add code interpreter for GptAssistant Notebook.

notebook/agentchat_oai_code_interpreter.ipynb

@@ -0,0 +1,161 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Auto Generated Agent Chat: GPTAssistant with Code Interpreter\n",
+    "The latest released Assistants API by OpenAI allows users to build AI assistants within their own applications. The Assistants API currently supports three types of tools: Code Interpreter, Retrieval, and Function calling. In this notebook, we demonstrate how to enable `GPTAssistantAgent` to use code interpreter. \n",
+    "\n",
+    "## Requirements\n",
+    "\n",
+    "AutoGen requires `Python>=3.8`. To run this notebook example, please install:\n",
+    "```bash\n",
+    "pip install pyautogen\n",
+    "```"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Set your API Endpoint\n",
+    "\n",
+    "The [`config_list_from_json`](https://microsoft.github.io/autogen/docs/reference/oai/openai_utils#config_list_from_json) function loads a list of configurations from an environment variable or a json file."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import autogen\n",
+    "\n",
+    "config_list = autogen.config_list_from_json(\n",
+    "    \"OAI_CONFIG_LIST\",\n",
+    "    file_location=\".\",\n",
+    "    filter_dict={\n",
+    "        \"model\": [\"gpt-3.5-turbo\", \"gpt-35-turbo\", \"gpt-35-turbo-0613\", \"gpt-4\", \"gpt4\", \"gpt-4-32k\"],\n",
+    "    },\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "It first looks for environment variable \"OAI_CONFIG_LIST\" which needs to be a valid json string. If that variable is not found, it then looks for a json file named \"OAI_CONFIG_LIST\". It filters the configs by models (you can filter by other keys as well).\n",
+    "\n",
+    "The config list looks like the following:\n",
+    "```python\n",
+    "config_list = [\n",
+    "    {\n",
+    "        \"model\": \"gpt-4\",\n",
+    "        \"api_key\": \"<your OpenAI API key>\",\n",
+    "    },  # OpenAI API endpoint for gpt-4\n",
+    "    {\n",
+    "        \"model\": \"gpt-35-turbo-0631\",  # 0631 or newer is needed to use functions\n",
+    "        \"base_url\": \"<your Azure OpenAI API base>\", \n",
+    "        \"api_type\": \"azure\", \n",
+    "        \"api_version\": \"2023-08-01-preview\", # 2023-07-01-preview or newer is needed to use functions\n",
+    "        \"api_key\": \"<your Azure OpenAI API key>\"\n",
+    "    }\n",
+    "]\n",
+    "```\n",
+    "\n",
+    "You can set the value of config_list in any way you prefer. Please refer to this [notebook](https://github.com/microsoft/autogen/blob/main/notebook/oai_openai_utils.ipynb) for full code examples of the different methods."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Perform Tasks Using Code Interpreter\n",
+    "\n",
+    "In this example, we demonstrate task solving using `GPTAssistantAgent` with code interpreter. Pass `code_interpreter` in `tools` parameter to enable `GPTAssistantAgent` with code interpreter. It will write code and automatically execute it in a sandbox. The agent will receive the results from the sandbox environment and act accordingly.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[33muser_proxy\u001b[0m (to Coder Assistant):\n",
+      "\n",
+      "If $725x + 727y = 1500$ and $729x+ 731y = 1508$, what is the value of $x - y$ ?\n",
+      "\n",
+      "--------------------------------------------------------------------------------\n",
+      "\u001b[33mCoder Assistant\u001b[0m (to user_proxy):\n",
+      "\n",
+      "The value of \\( x - y \\) is \\(-48\\). \n",
+      "\n",
+      "TERMINATE\n",
+      "\n",
+      "\n",
+      "--------------------------------------------------------------------------------\n"
+     ]
+    }
+   ],
+   "source": [
+    "from autogen.agentchat.contrib.gpt_assistant_agent import GPTAssistantAgent\n",
+    "from autogen.agentchat import AssistantAgent, UserProxyAgent\n",
+    "\n",
+    "# Initiate an agent equipped with code interpreter\n",
+    "gpt_assistant = GPTAssistantAgent(\n",
+    "    name=\"Coder Assistant\",\n",
+    "    llm_config={\n",
+    "        \"tools\": [\n",
+    "            {\n",
+    "                \"type\": \"code_interpreter\"\n",
+    "            }\n",
+    "        ],\n",
+    "        \"config_list\": config_list,\n",
+    "    },\n",
+    "    instructions=\"You are an expert at solving math questions. Write code and run it to solve math problems. Reply TERMINATE when the task is solved and there is no problem.\",\n",
+    ")\n",
+    "\n",
+    "user_proxy = UserProxyAgent(\n",
+    "    name=\"user_proxy\",\n",
+    "    is_termination_msg=lambda msg: \"TERMINATE\" in msg[\"content\"],\n",
+    "    human_input_mode=\"NEVER\"\n",
+    ")\n",
+    "\n",
+    "# When all is set, initate the chat.\n",
+    "user_proxy.initiate_chat(gpt_assistant, message=\"If $725x + 727y = 1500$ and $729x+ 731y = 1508$, what is the value of $x - y$ ?\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.12"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}