Add basic notebook for gptassistant

autogen/agentchat/contrib/gpt_assistant_agent.py

@@ -52,6 +52,7 @@ def __init__(
         self._openai_client = oai_wrapper._clients[0]
         openai_assistant_id = llm_config.get("assistant_id", None)
         if openai_assistant_id is None:
+            logger.warning("assistant_id was None, creating a new assistant")
             # create a new assistant
             if instructions is None:
                 logger.warning(
@@ -346,4 +347,5 @@ def get_assistant_instructions(self):
 
     def delete_assistant(self):
         """Delete the assistant from OAI assistant API"""
+        logger.warning("Permanently deleting assistant...")
         self._openai_client.beta.assistants.delete(self.assistant_id)

notebook/agentchat_oai_assistant_twoagents_basic.ipynb

@@ -0,0 +1,214 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## OpenAI Assistants in AutoGen\n",
+    "\n",
+    "This notebook shows a very basic example of the [`GPTAssistantAgent`](https://github.com/microsoft/autogen/blob/main/autogen/agentchat/contrib/gpt_assistant_agent.py#L16C43-L16C43), which is an experimental AutoGen agent class that leverages the [OpenAI Assistant API](https://platform.openai.com/docs/assistants/overview) for conversational capabilities,  working with\n",
+    "`UserProxyAgent` in AutoGen."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "assistant_id was None, creating a new assistant\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[33muser_proxy\u001b[0m (to assistant):\n",
+      "\n",
+      "Print hello world\n",
+      "\n",
+      "--------------------------------------------------------------------------------\n",
+      "\u001b[33massistant\u001b[0m (to user_proxy):\n",
+      "\n",
+      "```python\n",
+      "print(\"Hello, World!\")\n",
+      "```\n",
+      "\n",
+      "Please run this Python code to print \"Hello, World!\" to the console.\n",
+      "\n",
+      "\n",
+      "--------------------------------------------------------------------------------\n",
+      "\u001b[31m\n",
+      ">>>>>>>> EXECUTING CODE BLOCK 0 (inferred language is python)...\u001b[0m\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "execute_code was called without specifying a value for use_docker. Since the python docker package is not available, code will be run natively. Note: this fallback behavior is subject to change\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[33muser_proxy\u001b[0m (to assistant):\n",
+      "\n",
+      "exitcode: 0 (execution succeeded)\n",
+      "Code output: \n",
+      "Hello, World!\n",
+      "\n",
+      "\n",
+      "--------------------------------------------------------------------------------\n",
+      "\u001b[33massistant\u001b[0m (to user_proxy):\n",
+      "\n",
+      "The code executed successfully and printed \"Hello, World!\" as expected.\n",
+      "\n",
+      "TERMINATE\n",
+      "\n",
+      "\n",
+      "--------------------------------------------------------------------------------\n"
+     ]
+    }
+   ],
+   "source": [
+    "import logging\n",
+    "import os\n",
+    " \n",
+    "from autogen import config_list_from_json\n",
+    "from autogen import AssistantAgent\n",
+    "from autogen.agentchat.contrib.gpt_assistant_agent import GPTAssistantAgent\n",
+    "from autogen import UserProxyAgent\n",
+    "\n",
+    "logger = logging.getLogger(__name__)\n",
+    "logger.setLevel(logging.WARNING)\n",
+    "\n",
+    "assistant_id = os.environ.get(\"ASSISTANT_ID\", None)\n",
+    "\n",
+    "config_list = config_list_from_json(\"OAI_CONFIG_LIST\")\n",
+    "llm_config = {\n",
+    "    \"config_list\": config_list,\n",
+    "    \"assistant_id\": assistant_id\n",
+    "}\n",
+    "\n",
+    "gpt_assistant = GPTAssistantAgent(name=\"assistant\",\n",
+    "                                instructions=AssistantAgent.DEFAULT_SYSTEM_MESSAGE,\n",
+    "                                llm_config=llm_config)\n",
+    "\n",
+    "user_proxy = UserProxyAgent(name=\"user_proxy\",\n",
+    "    code_execution_config={\n",
+    "        \"work_dir\": \"coding\"\n",
+    "    },\n",
+    "    is_termination_msg=lambda msg: \"TERMINATE\" in msg[\"content\"],\n",
+    "    human_input_mode=\"NEVER\",\n",
+    "    max_consecutive_auto_reply=1)\n",
+    "user_proxy.initiate_chat(gpt_assistant, message=\"Print hello world\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[33muser_proxy\u001b[0m (to assistant):\n",
+      "\n",
+      "Write py code to eval 2 + 2\n",
+      "\n",
+      "--------------------------------------------------------------------------------\n",
+      "\u001b[33massistant\u001b[0m (to user_proxy):\n",
+      "\n",
+      "```python\n",
+      "# Let's write a simple Python code to evaluate 2 + 2 and print the result.\n",
+      "\n",
+      "result = 2 + 2\n",
+      "print(result)\n",
+      "```\n",
+      "\n",
+      "\n",
+      "--------------------------------------------------------------------------------\n",
+      "\u001b[31m\n",
+      ">>>>>>>> EXECUTING CODE BLOCK 0 (inferred language is python)...\u001b[0m\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "execute_code was called without specifying a value for use_docker. Since the python docker package is not available, code will be run natively. Note: this fallback behavior is subject to change\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[33muser_proxy\u001b[0m (to assistant):\n",
+      "\n",
+      "exitcode: 0 (execution succeeded)\n",
+      "Code output: \n",
+      "4\n",
+      "\n",
+      "\n",
+      "--------------------------------------------------------------------------------\n",
+      "\u001b[33massistant\u001b[0m (to user_proxy):\n",
+      "\n",
+      "The Python code was executed successfully and the result of evaluating 2 + 2 is 4.\n",
+      "\n",
+      "TERMINATE\n",
+      "\n",
+      "\n",
+      "--------------------------------------------------------------------------------\n"
+     ]
+    }
+   ],
+   "source": [
+    "user_proxy.initiate_chat(gpt_assistant, message=\"Write py code to eval 2 + 2\", clear_history=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Permanently deleting assistant...\n"
+     ]
+    }
+   ],
+   "source": [
+    "gpt_assistant.delete_assistant()"
+   ]
+  }
+ ],
+ "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
+}