notebook/agentchat_oai_assistant_twoagents_basic.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# OpenAI Assistants in AG2\n",
    "\n",
    "This notebook shows a very basic example of the [`GPTAssistantAgent`](https://github.com/ag2ai/ag2/blob/main/autogen/agentchat/contrib/gpt_assistant_agent.py), which is an experimental AG2 agent class that leverages the [OpenAI Assistant API](https://platform.openai.com/docs/assistants/overview) for conversational capabilities,  working with\n",
    "`UserProxyAgent` in AG2."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import logging\n",
    "import os\n",
    "\n",
    "from autogen import AssistantAgent, LLMConfig, UserProxyAgent\n",
    "from autogen.agentchat.contrib.gpt_assistant_agent import GPTAssistantAgent\n",
    "\n",
    "logger = logging.getLogger(__name__)\n",
    "logger.setLevel(logging.WARNING)\n",
    "\n",
    "assistant_id = os.environ.get(\"ASSISTANT_ID\", None)\n",
    "\n",
    "llm_config = LLMConfig.from_json(path=\"OAI_CONFIG_LIST\")\n",
    "\n",
    "assistant_config = {\"assistant_id\": assistant_id}\n",
    "\n",
    "gpt_assistant = GPTAssistantAgent(\n",
    "    name=\"assistant\",\n",
    "    instructions=AssistantAgent.DEFAULT_SYSTEM_MESSAGE,\n",
    "    llm_config=llm_config,\n",
    "    assistant_config=assistant_config,\n",
    ")\n",
    "\n",
    "user_proxy = UserProxyAgent(\n",
    "    name=\"user_proxy\",\n",
    "    code_execution_config={\n",
    "        \"work_dir\": \"coding\",\n",
    "        \"use_docker\": False,\n",
    "    },  # Please set use_docker=True if docker is available to run the generated code. Using docker is safer than running the generated code directly.\n",
    "    is_termination_msg=lambda msg: \"TERMINATE\" in msg[\"content\"],\n",
    "    human_input_mode=\"NEVER\",\n",
    "    max_consecutive_auto_reply=1,\n",
    ")\n",
    "user_proxy.initiate_chat(gpt_assistant, message=\"Print hello world\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "user_proxy.initiate_chat(gpt_assistant, message=\"Write py code to eval 2 + 2\", clear_history=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "gpt_assistant.delete_assistant()"
   ]
  }
 ],
 "metadata": {
  "front_matter": {
   "description": "Two-agent chat with OpenAI assistants.",
   "tags": [
    "OpenAI Assistant"
   ]
  },
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