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Add basic notebook for gptassistant (#636)
* Refactor GPTAssistantAgent constructor to handle instructions and overwrite_instructions flag - Ensure that `system_message` is always consistent with `instructions` - Ensure provided instructions are always used - Add option to permanently modify the instructions of the assistant * Improve default behavior * Add a test; add method to delete assistant * Add a new test for overwriting instructions * Add test case for when no instructions are given for existing assistant * Add pytest markers to test_gpt_assistant.py * add test in workflow * update * fix test_client_stream * comment out test_hierarchy_ * Add basic gptassistant notebook - also improve logging in gpt assistant * Update notebook/agentchat_oai_assistant_twoagents_basic.ipynb Co-authored-by: Qingyun Wu <qingyun.wu@psu.edu> --------- Co-authored-by: Chi Wang <wang.chi@microsoft.com> Co-authored-by: kevin666aa <yrwu000627@gmail.com> Co-authored-by: Qingyun Wu <qingyun.wu@psu.edu>
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@ -52,6 +52,7 @@ class GPTAssistantAgent(ConversableAgent):
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self._openai_client = oai_wrapper._clients[0]
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openai_assistant_id = llm_config.get("assistant_id", None)
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if openai_assistant_id is None:
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logger.warning("assistant_id was None, creating a new assistant")
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# create a new assistant
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if instructions is None:
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logger.warning(
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@ -346,4 +347,5 @@ class GPTAssistantAgent(ConversableAgent):
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def delete_assistant(self):
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"""Delete the assistant from OAI assistant API"""
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logger.warning("Permanently deleting assistant...")
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self._openai_client.beta.assistants.delete(self.assistant_id)
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214
notebook/agentchat_oai_assistant_twoagents_basic.ipynb
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214
notebook/agentchat_oai_assistant_twoagents_basic.ipynb
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@ -0,0 +1,214 @@
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## OpenAI Assistants in AutoGen\n",
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"\n",
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"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",
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"`UserProxyAgent` in AutoGen."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"assistant_id was None, creating a new assistant\n"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\u001b[33muser_proxy\u001b[0m (to assistant):\n",
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"\n",
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"Print hello world\n",
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"\n",
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"--------------------------------------------------------------------------------\n",
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"\u001b[33massistant\u001b[0m (to user_proxy):\n",
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"\n",
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"```python\n",
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"print(\"Hello, World!\")\n",
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"```\n",
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"\n",
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"Please run this Python code to print \"Hello, World!\" to the console.\n",
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"\n",
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"\n",
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"--------------------------------------------------------------------------------\n",
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"\u001b[31m\n",
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">>>>>>>> EXECUTING CODE BLOCK 0 (inferred language is python)...\u001b[0m\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"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"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\u001b[33muser_proxy\u001b[0m (to assistant):\n",
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"\n",
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"exitcode: 0 (execution succeeded)\n",
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"Code output: \n",
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"Hello, World!\n",
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"\n",
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"\n",
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"--------------------------------------------------------------------------------\n",
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"\u001b[33massistant\u001b[0m (to user_proxy):\n",
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"\n",
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"The code executed successfully and printed \"Hello, World!\" as expected.\n",
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"\n",
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"TERMINATE\n",
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"\n",
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"\n",
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"--------------------------------------------------------------------------------\n"
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]
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}
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],
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"source": [
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"import logging\n",
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"import os\n",
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" \n",
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"from autogen import config_list_from_json\n",
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"from autogen import AssistantAgent\n",
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"from autogen.agentchat.contrib.gpt_assistant_agent import GPTAssistantAgent\n",
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"from autogen import UserProxyAgent\n",
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"\n",
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"logger = logging.getLogger(__name__)\n",
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"logger.setLevel(logging.WARNING)\n",
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"\n",
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"assistant_id = os.environ.get(\"ASSISTANT_ID\", None)\n",
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"\n",
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"config_list = config_list_from_json(\"OAI_CONFIG_LIST\")\n",
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"llm_config = {\n",
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" \"config_list\": config_list,\n",
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" \"assistant_id\": assistant_id\n",
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"}\n",
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"\n",
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"gpt_assistant = GPTAssistantAgent(name=\"assistant\",\n",
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" instructions=AssistantAgent.DEFAULT_SYSTEM_MESSAGE,\n",
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" llm_config=llm_config)\n",
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"\n",
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"user_proxy = UserProxyAgent(name=\"user_proxy\",\n",
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" code_execution_config={\n",
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" \"work_dir\": \"coding\"\n",
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" },\n",
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" is_termination_msg=lambda msg: \"TERMINATE\" in msg[\"content\"],\n",
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" human_input_mode=\"NEVER\",\n",
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" max_consecutive_auto_reply=1)\n",
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"user_proxy.initiate_chat(gpt_assistant, message=\"Print hello world\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\u001b[33muser_proxy\u001b[0m (to assistant):\n",
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"\n",
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"Write py code to eval 2 + 2\n",
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"\n",
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"--------------------------------------------------------------------------------\n",
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"\u001b[33massistant\u001b[0m (to user_proxy):\n",
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"\n",
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"```python\n",
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"# Let's write a simple Python code to evaluate 2 + 2 and print the result.\n",
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"\n",
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"result = 2 + 2\n",
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"print(result)\n",
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"```\n",
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"\n",
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"\n",
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"--------------------------------------------------------------------------------\n",
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"\u001b[31m\n",
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">>>>>>>> EXECUTING CODE BLOCK 0 (inferred language is python)...\u001b[0m\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"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"
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]
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},
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\u001b[33muser_proxy\u001b[0m (to assistant):\n",
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"\n",
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"exitcode: 0 (execution succeeded)\n",
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"Code output: \n",
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"4\n",
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"\n",
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"\n",
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"--------------------------------------------------------------------------------\n",
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"\u001b[33massistant\u001b[0m (to user_proxy):\n",
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"\n",
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"The Python code was executed successfully and the result of evaluating 2 + 2 is 4.\n",
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"\n",
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"TERMINATE\n",
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"\n",
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"\n",
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"--------------------------------------------------------------------------------\n"
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]
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}
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],
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"source": [
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"user_proxy.initiate_chat(gpt_assistant, message=\"Write py code to eval 2 + 2\", clear_history=True)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"Permanently deleting assistant...\n"
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]
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}
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],
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"source": [
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"gpt_assistant.delete_assistant()"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.12"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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