examples/wordprocessor_tool_usage.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Wordprocessor usage example\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Failed to find custom config on: c:\\Users\\pdasilva\\OneDrive - Microsoft\\Git repositories\\tinytroupe\\tinytroupe-core-opensource\\examples\\config.ini\n",
      "Now switching to default config file...\n",
      "Looking for config on: c:\\Users\\pdasilva\\OneDrive - Microsoft\\Git repositories\\tinytroupe\\tinytroupe-core-opensource\\examples\\..\\tinytroupe\\config.ini\n",
      "\n",
      "!!!!\n",
      "DISCLAIMER: TinyTroupe relies on Artificial Intelligence (AI) models to generate content. \n",
      "The AI models are not perfect and may produce inappropriate or inacurate results. \n",
      "For any serious or consequential use, please review the generated content before using it.\n",
      "!!!!\n",
      "\n"
     ]
    }
   ],
   "source": [
    "import json\n",
    "import sys\n",
    "import csv\n",
    "sys.path.insert(0, '..') # ensures that the package is imported from the parent directory, not the Python installation\n",
    "\n",
    "\n",
    "import tinytroupe\n",
    "from tinytroupe.openai_utils import force_api_type\n",
    "from tinytroupe.factory import TinyPersonFactory\n",
    "from tinytroupe.agent import TinyPerson, TinyToolUse\n",
    "from tinytroupe.environment import TinyWorld\n",
    "from tinytroupe import control\n",
    "from tinytroupe.extraction import ResultsExtractor, ResultsReducer\n",
    "from tinytroupe.enrichment import TinyEnricher\n",
    "from tinytroupe.extraction import ArtifactExporter\n",
    "from tinytroupe.tools import TinyWordProcessor\n",
    "from tinytroupe.story import TinyStory\n",
    "import tinytroupe.utils as utils\n",
    "from tinytroupe.examples import create_lisa_the_data_scientist, create_oscar_the_architect, create_marcos_the_physician"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "data_export_folder = \"../data/extractions/wordprocessor\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "exporter = ArtifactExporter(base_output_folder=data_export_folder)\n",
    "enricher = TinyEnricher()\n",
    "tooluse_faculty = TinyToolUse(tools=[TinyWordProcessor(exporter=exporter, enricher=enricher)])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "lisa = create_lisa_the_data_scientist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "TinyPerson(name='Lisa')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lisa.add_mental_faculties([tooluse_faculty])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
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       "<pre style=\"margin:0px;;white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ffff; text-decoration-color: #00ffff; font-weight: bold; font-style: italic; text-decoration: underline\">USER</span><span style=\"color: #00ffff; text-decoration-color: #00ffff; font-weight: bold; font-style: italic\"> --&gt; </span><span style=\"color: #00ffff; text-decoration-color: #00ffff; font-weight: bold; font-style: italic; text-decoration: underline\">Lisa</span><span style=\"color: #00ffff; text-decoration-color: #00ffff; font-weight: bold; font-style: italic\">: [CONVERSATION] </span>\n",
       "<span style=\"color: #00ffff; text-decoration-color: #00ffff; font-weight: bold; font-style: italic\">          &gt; You have just been fired and need to find a new job. You decide to think about what you</span>\n",
       "<span style=\"color: #00ffff; text-decoration-color: #00ffff; font-weight: bold; font-style: italic\">          &gt; want in life and then write a resume.</span>\n",
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       "\u001b[1;3;4;38;5;51mUSER\u001b[0m\u001b[1;3;38;5;51m --> \u001b[0m\u001b[1;3;4;38;5;51mLisa\u001b[0m\u001b[1;3;38;5;51m: \u001b[0m\u001b[1;3;38;5;51m[\u001b[0m\u001b[1;3;38;5;51mCONVERSATION\u001b[0m\u001b[1;3;38;5;51m]\u001b[0m\u001b[1;3;38;5;51m \u001b[0m\n",
       "\u001b[1;3;38;5;51m          > You have just been fired and need to find a new job. You decide to think about what you\u001b[0m\n",
       "\u001b[1;3;38;5;51m          > want in life and then write a resume.\u001b[0m\n"
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       "<pre style=\"margin:0px;;white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic; text-decoration: underline\">Lisa</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\"> --&gt; </span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic; text-decoration: underline\">Lisa</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\">: </span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-weight: bold; font-style: italic\">[</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\">THOUGHT</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-weight: bold; font-style: italic\">]</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\"> </span>\n",
       "<span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\">          &gt; I will now act a bit, and then issue DONE.</span>\n",
       "</pre>\n"
      ],
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       "\u001b[2;3;4;38;5;51mLisa\u001b[0m\u001b[2;3;38;5;51m --> \u001b[0m\u001b[2;3;4;38;5;51mLisa\u001b[0m\u001b[2;3;38;5;51m: \u001b[0m\u001b[1;2;3;38;5;51m[\u001b[0m\u001b[2;3;38;5;51mTHOUGHT\u001b[0m\u001b[1;2;3;38;5;51m]\u001b[0m\u001b[2;3;38;5;51m \u001b[0m\n",
       "\u001b[2;3;38;5;51m          > I will now act a bit, and then issue DONE.\u001b[0m\n"
      ]
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-10-27 14:14:24,746 - tinytroupe - INFO - Waiting 2.0 seconds before next API request (to avoid throttling)...\n"
     ]
    },
    {
     "data": {
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       "<pre style=\"margin:0px;;white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000; text-decoration: underline\">Lisa</span><span style=\"color: #008000; text-decoration-color: #008000\"> acts: </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">THINK</span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">]</span><span style=\"color: #008000; text-decoration-color: #008000\"> </span>\n",
       "<span style=\"color: #008000; text-decoration-color: #008000\">          &gt; I need to reflect on what I want in life and what kind of job would fulfill me. I should</span>\n",
       "<span style=\"color: #008000; text-decoration-color: #008000\">          &gt; consider my skills, interests, and values.</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[4;32mLisa\u001b[0m\u001b[32m acts: \u001b[0m\u001b[1;32m[\u001b[0m\u001b[32mTHINK\u001b[0m\u001b[1;32m]\u001b[0m\u001b[32m \u001b[0m\n",
       "\u001b[32m          > I need to reflect on what I want in life and what kind of job would fulfill me. I should\u001b[0m\n",
       "\u001b[32m          > consider my skills, interests, and values.\u001b[0m\n"
      ]
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     "output_type": "display_data"
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       "<pre style=\"margin:0px;;white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic; text-decoration: underline\">Lisa</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\"> --&gt; </span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic; text-decoration: underline\">Lisa</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\">: </span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-weight: bold; font-style: italic\">[</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\">THOUGHT</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-weight: bold; font-style: italic\">]</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\"> </span>\n",
       "<span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\">          &gt; I will now act a bit, and then issue DONE.</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;3;4;38;5;51mLisa\u001b[0m\u001b[2;3;38;5;51m --> \u001b[0m\u001b[2;3;4;38;5;51mLisa\u001b[0m\u001b[2;3;38;5;51m: \u001b[0m\u001b[1;2;3;38;5;51m[\u001b[0m\u001b[2;3;38;5;51mTHOUGHT\u001b[0m\u001b[1;2;3;38;5;51m]\u001b[0m\u001b[2;3;38;5;51m \u001b[0m\n",
       "\u001b[2;3;38;5;51m          > I will now act a bit, and then issue DONE.\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-10-27 14:14:29,730 - tinytroupe - INFO - Waiting 2.0 seconds before next API request (to avoid throttling)...\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"margin:0px;;white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000; text-decoration: underline\">Lisa</span><span style=\"color: #008000; text-decoration-color: #008000\"> acts: </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">THINK</span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">]</span><span style=\"color: #008000; text-decoration-color: #008000\"> </span>\n",
       "<span style=\"color: #008000; text-decoration-color: #008000\">          &gt; I should start drafting my resume, focusing on my skills in data science, machine</span>\n",
       "<span style=\"color: #008000; text-decoration-color: #008000\">          &gt; learning, and my experience at Microsoft.</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[4;32mLisa\u001b[0m\u001b[32m acts: \u001b[0m\u001b[1;32m[\u001b[0m\u001b[32mTHINK\u001b[0m\u001b[1;32m]\u001b[0m\u001b[32m \u001b[0m\n",
       "\u001b[32m          > I should start drafting my resume, focusing on my skills in data science, machine\u001b[0m\n",
       "\u001b[32m          > learning, and my experience at Microsoft.\u001b[0m\n"
      ]
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     "metadata": {},
     "output_type": "display_data"
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       "<pre style=\"margin:0px;;white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic; text-decoration: underline\">Lisa</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\"> --&gt; </span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic; text-decoration: underline\">Lisa</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\">: </span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-weight: bold; font-style: italic\">[</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\">THOUGHT</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-weight: bold; font-style: italic\">]</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\"> </span>\n",
       "<span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\">          &gt; I will now act a bit, and then issue DONE.</span>\n",
       "</pre>\n"
      ],
      "text/plain": [
       "\u001b[2;3;4;38;5;51mLisa\u001b[0m\u001b[2;3;38;5;51m --> \u001b[0m\u001b[2;3;4;38;5;51mLisa\u001b[0m\u001b[2;3;38;5;51m: \u001b[0m\u001b[1;2;3;38;5;51m[\u001b[0m\u001b[2;3;38;5;51mTHOUGHT\u001b[0m\u001b[1;2;3;38;5;51m]\u001b[0m\u001b[2;3;38;5;51m \u001b[0m\n",
       "\u001b[2;3;38;5;51m          > I will now act a bit, and then issue DONE.\u001b[0m\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-10-27 14:14:34,415 - tinytroupe - INFO - Waiting 2.0 seconds before next API request (to avoid throttling)...\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"margin:0px;;white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #af00ff; text-decoration-color: #af00ff; text-decoration: underline\">Lisa</span><span style=\"color: #af00ff; text-decoration-color: #af00ff\"> acts: </span><span style=\"color: #af00ff; text-decoration-color: #af00ff; font-weight: bold\">[</span><span style=\"color: #af00ff; text-decoration-color: #af00ff\">WRITE_DOCUMENT</span><span style=\"color: #af00ff; text-decoration-color: #af00ff; font-weight: bold\">]</span><span style=\"color: #af00ff; text-decoration-color: #af00ff\"> </span>\n",
       "<span style=\"color: #af00ff; text-decoration-color: #af00ff\">          &gt; </span><span style=\"color: #af00ff; text-decoration-color: #af00ff; font-weight: bold\">{</span><span style=\"color: #af00ff; text-decoration-color: #af00ff\">\"title\"</span><span style=\"color: #af00ff; text-decoration-color: #af00ff\">: </span><span style=\"color: #af00ff; text-decoration-color: #af00ff\">\"Resume - Lisa\"</span><span style=\"color: #af00ff; text-decoration-color: #af00ff\">, </span><span style=\"color: #af00ff; text-decoration-color: #af00ff\">\"content\"</span><span style=\"color: #af00ff; text-decoration-color: #af00ff\">: \"# Lisa's Resume\\n\\n## Contact Information\\n-</span>\n",
       "<span style=\"color: #af00ff; text-decoration-color: #af00ff\">          &gt; Email: lisa@example.com\\n- Phone: </span><span style=\"color: #af00ff; text-decoration-color: #af00ff; font-weight: bold\">(</span><span style=\"color: #af00ff; text-decoration-color: #af00ff; font-weight: bold\">123</span><span style=\"color: #af00ff; text-decoration-color: #af00ff; font-weight: bold\">)</span><span style=\"color: #af00ff; text-decoration-color: #af00ff\"> </span><span style=\"color: #af00ff; text-decoration-color: #af00ff; font-weight: bold\">456</span><span style=\"color: #af00ff; text-decoration-color: #af00ff\">-</span><span style=\"color: #af00ff; text-decoration-color: #af00ff; font-weight: bold\">7890</span><span style=\"color: #af00ff; text-decoration-color: #af00ff\">\\n\\n## Objective\\nSeeking a challenging</span>\n",
       "<span style=\"color: #af00ff; text-decoration-color: #af00ff\">          &gt; position in data science where I can utilize my skills in machine learning and natural</span>\n",
       "<span style=\"color: #af00ff; text-decoration-color: #af00ff\">          &gt; language processing to improve user experience and drive business success.\\n\\n##</span>\n",
       "<span style=\"color: #af00ff; text-decoration-color: #af00ff\">          &gt; Experience\\n### Data Scientist at Microsoft\\n- Analyzed user behavior and feedback data</span>\n",
       "<span style=\"color: #af00ff; text-decoration-color: #af00ff\">          &gt; to improve search relevance and quality.\\n- Built and tested machine learning models for</span>\n",
       "<span style=\"color: #af00ff; text-decoration-color: #af00ff\">          &gt; natural language understanding and query expansion.\\n- Ensured data and models were</span>\n",
       "<span style=\"color: #af00ff; text-decoration-color: #af00ff\">          &gt; compliant with privacy and security policies.\\n\\n## Skills\\n- Proficient in Python,</span>\n",
       "<span style=\"color: #af00ff; text-decoration-color: #af00ff\">          &gt; pandas, scikit-learn, TensorFlow, and Azure ML.\\n- Familiar with SQL and Power BI.\\n\\n##</span>\n",
       "<span style=\"color: #af00ff; text-decoration-color: #af00ff\">          &gt; Education\\n- Bachelor of Science in Computer Science, University of Toronto\\n\\n##</span>\n",
       "<span style=\"color: #af00ff; text-decoration-color: #af00ff\">          &gt; Interests\\n- Artificial intelligence, machine learning, and natural language</span>\n",
       "<span style=\"color: #af00ff; text-decoration-color: #af00ff\">          &gt; processing.\\n- Cooking, playing the piano, and watching movies.\\n\", </span><span style=\"color: #af00ff; text-decoration-color: #af00ff\">\"author\"</span><span style=\"color: #af00ff; text-decoration-color: #af00ff\">: </span><span style=\"color: #af00ff; text-decoration-color: #af00ff\">\"Lisa\"</span><span style=\"color: #af00ff; text-decoration-color: #af00ff; font-weight: bold\">}</span>\n",
       "</pre>\n"
      ],
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       "\u001b[4;38;5;129mLisa\u001b[0m\u001b[38;5;129m acts: \u001b[0m\u001b[1;38;5;129m[\u001b[0m\u001b[38;5;129mWRITE_DOCUMENT\u001b[0m\u001b[1;38;5;129m]\u001b[0m\u001b[38;5;129m \u001b[0m\n",
       "\u001b[38;5;129m          > \u001b[0m\u001b[1;38;5;129m{\u001b[0m\u001b[38;5;129m\"title\"\u001b[0m\u001b[38;5;129m: \u001b[0m\u001b[38;5;129m\"Resume - Lisa\"\u001b[0m\u001b[38;5;129m, \u001b[0m\u001b[38;5;129m\"content\"\u001b[0m\u001b[38;5;129m: \"# Lisa's Resume\\n\\n## Contact Information\\n-\u001b[0m\n",
       "\u001b[38;5;129m          > Email: lisa@example.com\\n- Phone: \u001b[0m\u001b[1;38;5;129m(\u001b[0m\u001b[1;38;5;129m123\u001b[0m\u001b[1;38;5;129m)\u001b[0m\u001b[38;5;129m \u001b[0m\u001b[1;38;5;129m456\u001b[0m\u001b[38;5;129m-\u001b[0m\u001b[1;38;5;129m7890\u001b[0m\u001b[38;5;129m\\n\\n## Objective\\nSeeking a challenging\u001b[0m\n",
       "\u001b[38;5;129m          > position in data science where I can utilize my skills in machine learning and natural\u001b[0m\n",
       "\u001b[38;5;129m          > language processing to improve user experience and drive business success.\\n\\n##\u001b[0m\n",
       "\u001b[38;5;129m          > Experience\\n### Data Scientist at Microsoft\\n- Analyzed user behavior and feedback data\u001b[0m\n",
       "\u001b[38;5;129m          > to improve search relevance and quality.\\n- Built and tested machine learning models for\u001b[0m\n",
       "\u001b[38;5;129m          > natural language understanding and query expansion.\\n- Ensured data and models were\u001b[0m\n",
       "\u001b[38;5;129m          > compliant with privacy and security policies.\\n\\n## Skills\\n- Proficient in Python,\u001b[0m\n",
       "\u001b[38;5;129m          > pandas, scikit-learn, TensorFlow, and Azure ML.\\n- Familiar with SQL and Power BI.\\n\\n##\u001b[0m\n",
       "\u001b[38;5;129m          > Education\\n- Bachelor of Science in Computer Science, University of Toronto\\n\\n##\u001b[0m\n",
       "\u001b[38;5;129m          > Interests\\n- Artificial intelligence, machine learning, and natural language\u001b[0m\n",
       "\u001b[38;5;129m          > processing.\\n- Cooking, playing the piano, and watching movies.\\n\", \u001b[0m\u001b[38;5;129m\"author\"\u001b[0m\u001b[38;5;129m: \u001b[0m\u001b[38;5;129m\"Lisa\"\u001b[0m\u001b[1;38;5;129m}\u001b[0m\n"
      ]
     },
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    },
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     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-10-27 14:14:41,823 - tinytroupe - INFO - Waiting 2.0 seconds before next API request (to avoid throttling)...\n"
     ]
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       "<pre style=\"margin:0px;;white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic; text-decoration: underline\">Lisa</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\"> --&gt; </span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic; text-decoration: underline\">Lisa</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\">: </span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-weight: bold; font-style: italic\">[</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\">THOUGHT</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-weight: bold; font-style: italic\">]</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\"> </span>\n",
       "<span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\">          &gt; I will now act a bit, and then issue DONE.</span>\n",
       "</pre>\n"
      ],
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       "\u001b[2;3;4;38;5;51mLisa\u001b[0m\u001b[2;3;38;5;51m --> \u001b[0m\u001b[2;3;4;38;5;51mLisa\u001b[0m\u001b[2;3;38;5;51m: \u001b[0m\u001b[1;2;3;38;5;51m[\u001b[0m\u001b[2;3;38;5;51mTHOUGHT\u001b[0m\u001b[1;2;3;38;5;51m]\u001b[0m\u001b[2;3;38;5;51m \u001b[0m\n",
       "\u001b[2;3;38;5;51m          > I will now act a bit, and then issue DONE.\u001b[0m\n"
      ]
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     "output_type": "stream",
     "text": [
      "2024-10-27 14:14:59,498 - tinytroupe - INFO - Waiting 2.0 seconds before next API request (to avoid throttling)...\n"
     ]
    },
    {
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      "text/html": [
       "<pre style=\"margin:0px;;white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d0d0d0; text-decoration-color: #d0d0d0; text-decoration: underline\">Lisa</span><span style=\"color: #d0d0d0; text-decoration-color: #d0d0d0\"> acts: </span><span style=\"color: #d0d0d0; text-decoration-color: #d0d0d0; font-weight: bold\">[</span><span style=\"color: #d0d0d0; text-decoration-color: #d0d0d0\">DONE</span><span style=\"color: #d0d0d0; text-decoration-color: #d0d0d0; font-weight: bold\">]</span><span style=\"color: #d0d0d0; text-decoration-color: #d0d0d0\"> </span>\n",
       "\n",
       "</pre>\n"
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       "\u001b[4;38;5;252mLisa\u001b[0m\u001b[38;5;252m acts: \u001b[0m\u001b[1;38;5;252m[\u001b[0m\u001b[38;5;252mDONE\u001b[0m\u001b[1;38;5;252m]\u001b[0m\u001b[38;5;252m \u001b[0m\n",
       "\n"
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   "source": [
    "lisa.listen_and_act(\"You have just been fired and need to find a new job. You decide to think about what you want in life and then write a resume.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<pre style=\"margin:0px;;white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00ffff; text-decoration-color: #00ffff; font-weight: bold; font-style: italic; text-decoration: underline\">USER</span><span style=\"color: #00ffff; text-decoration-color: #00ffff; font-weight: bold; font-style: italic\"> --&gt; </span><span style=\"color: #00ffff; text-decoration-color: #00ffff; font-weight: bold; font-style: italic; text-decoration: underline\">Lisa</span><span style=\"color: #00ffff; text-decoration-color: #00ffff; font-weight: bold; font-style: italic\">: [CONVERSATION] </span>\n",
       "<span style=\"color: #00ffff; text-decoration-color: #00ffff; font-weight: bold; font-style: italic\">          &gt; What did I just told you?</span>\n",
       "</pre>\n"
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       "\u001b[1;3;4;38;5;51mUSER\u001b[0m\u001b[1;3;38;5;51m --> \u001b[0m\u001b[1;3;4;38;5;51mLisa\u001b[0m\u001b[1;3;38;5;51m: \u001b[0m\u001b[1;3;38;5;51m[\u001b[0m\u001b[1;3;38;5;51mCONVERSATION\u001b[0m\u001b[1;3;38;5;51m]\u001b[0m\u001b[1;3;38;5;51m \u001b[0m\n",
       "\u001b[1;3;38;5;51m          > What did I just told you?\u001b[0m\n"
      ]
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     "output_type": "display_data"
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    {
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      "text/html": [
       "<pre style=\"margin:0px;;white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic; text-decoration: underline\">Lisa</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\"> --&gt; </span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic; text-decoration: underline\">Lisa</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\">: </span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-weight: bold; font-style: italic\">[</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\">THOUGHT</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-weight: bold; font-style: italic\">]</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\"> </span>\n",
       "<span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\">          &gt; I will now act a bit, and then issue DONE.</span>\n",
       "</pre>\n"
      ],
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       "\u001b[2;3;4;38;5;51mLisa\u001b[0m\u001b[2;3;38;5;51m --> \u001b[0m\u001b[2;3;4;38;5;51mLisa\u001b[0m\u001b[2;3;38;5;51m: \u001b[0m\u001b[1;2;3;38;5;51m[\u001b[0m\u001b[2;3;38;5;51mTHOUGHT\u001b[0m\u001b[1;2;3;38;5;51m]\u001b[0m\u001b[2;3;38;5;51m \u001b[0m\n",
       "\u001b[2;3;38;5;51m          > I will now act a bit, and then issue DONE.\u001b[0m\n"
      ]
     },
     "metadata": {},
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    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "2024-10-27 14:15:46,914 - tinytroupe - INFO - Waiting 2.0 seconds before next API request (to avoid throttling)...\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"margin:0px;;white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #008000; text-decoration-color: #008000; text-decoration: underline\">Lisa</span><span style=\"color: #008000; text-decoration-color: #008000\"> acts: </span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">[</span><span style=\"color: #008000; text-decoration-color: #008000\">THINK</span><span style=\"color: #008000; text-decoration-color: #008000; font-weight: bold\">]</span><span style=\"color: #008000; text-decoration-color: #008000\"> </span>\n",
       "<span style=\"color: #008000; text-decoration-color: #008000\">          &gt; I need to recall the recent conversation to respond accurately.</span>\n",
       "</pre>\n"
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       "\u001b[4;32mLisa\u001b[0m\u001b[32m acts: \u001b[0m\u001b[1;32m[\u001b[0m\u001b[32mTHINK\u001b[0m\u001b[1;32m]\u001b[0m\u001b[32m \u001b[0m\n",
       "\u001b[32m          > I need to recall the recent conversation to respond accurately.\u001b[0m\n"
      ]
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     "data": {
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       "<pre style=\"margin:0px;;white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic; text-decoration: underline\">Lisa</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\"> --&gt; </span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic; text-decoration: underline\">Lisa</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\">: </span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-weight: bold; font-style: italic\">[</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\">THOUGHT</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-weight: bold; font-style: italic\">]</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\"> </span>\n",
       "<span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\">          &gt; I will now act a bit, and then issue DONE.</span>\n",
       "</pre>\n"
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       "\u001b[2;3;4;38;5;51mLisa\u001b[0m\u001b[2;3;38;5;51m --> \u001b[0m\u001b[2;3;4;38;5;51mLisa\u001b[0m\u001b[2;3;38;5;51m: \u001b[0m\u001b[1;2;3;38;5;51m[\u001b[0m\u001b[2;3;38;5;51mTHOUGHT\u001b[0m\u001b[1;2;3;38;5;51m]\u001b[0m\u001b[2;3;38;5;51m \u001b[0m\n",
       "\u001b[2;3;38;5;51m          > I will now act a bit, and then issue DONE.\u001b[0m\n"
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     "text": [
      "2024-10-27 14:15:50,860 - tinytroupe - INFO - Waiting 2.0 seconds before next API request (to avoid throttling)...\n"
     ]
    },
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       "<pre style=\"margin:0px;;white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #00d700; text-decoration-color: #00d700; font-weight: bold; text-decoration: underline\">Lisa</span><span style=\"color: #00d700; text-decoration-color: #00d700; font-weight: bold\"> acts: [TALK] </span>\n",
       "<span style=\"color: #00d700; text-decoration-color: #00d700; font-weight: bold\">          &gt; You mentioned that I have just been fired and need to find a new job. You suggested that</span>\n",
       "<span style=\"color: #00d700; text-decoration-color: #00d700; font-weight: bold\">          &gt; I think about what I want in life and then write a resume.</span>\n",
       "</pre>\n"
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       "\u001b[1;4;38;5;40mLisa\u001b[0m\u001b[1;38;5;40m acts: \u001b[0m\u001b[1;38;5;40m[\u001b[0m\u001b[1;38;5;40mTALK\u001b[0m\u001b[1;38;5;40m]\u001b[0m\u001b[1;38;5;40m \u001b[0m\n",
       "\u001b[1;38;5;40m          > You mentioned that I have just been fired and need to find a new job. You suggested that\u001b[0m\n",
       "\u001b[1;38;5;40m          > I think about what I want in life and then write a resume.\u001b[0m\n"
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       "<pre style=\"margin:0px;;white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic; text-decoration: underline\">Lisa</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\"> --&gt; </span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic; text-decoration: underline\">Lisa</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\">: </span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-weight: bold; font-style: italic\">[</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\">THOUGHT</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-weight: bold; font-style: italic\">]</span><span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\"> </span>\n",
       "<span style=\"color: #7fffff; text-decoration-color: #7fffff; font-style: italic\">          &gt; I will now act a bit, and then issue DONE.</span>\n",
       "</pre>\n"
      ],
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       "\u001b[2;3;4;38;5;51mLisa\u001b[0m\u001b[2;3;38;5;51m --> \u001b[0m\u001b[2;3;4;38;5;51mLisa\u001b[0m\u001b[2;3;38;5;51m: \u001b[0m\u001b[1;2;3;38;5;51m[\u001b[0m\u001b[2;3;38;5;51mTHOUGHT\u001b[0m\u001b[1;2;3;38;5;51m]\u001b[0m\u001b[2;3;38;5;51m \u001b[0m\n",
       "\u001b[2;3;38;5;51m          > I will now act a bit, and then issue DONE.\u001b[0m\n"
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     "text": [
      "2024-10-27 14:15:54,856 - tinytroupe - INFO - Waiting 2.0 seconds before next API request (to avoid throttling)...\n"
     ]
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       "<pre style=\"margin:0px;;white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #d0d0d0; text-decoration-color: #d0d0d0; text-decoration: underline\">Lisa</span><span style=\"color: #d0d0d0; text-decoration-color: #d0d0d0\"> acts: </span><span style=\"color: #d0d0d0; text-decoration-color: #d0d0d0; font-weight: bold\">[</span><span style=\"color: #d0d0d0; text-decoration-color: #d0d0d0\">DONE</span><span style=\"color: #d0d0d0; text-decoration-color: #d0d0d0; font-weight: bold\">]</span><span style=\"color: #d0d0d0; text-decoration-color: #d0d0d0\"> </span>\n",
       "\n",
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       "\u001b[4;38;5;252mLisa\u001b[0m\u001b[38;5;252m acts: \u001b[0m\u001b[1;38;5;252m[\u001b[0m\u001b[38;5;252mDONE\u001b[0m\u001b[1;38;5;252m]\u001b[0m\u001b[38;5;252m \u001b[0m\n",
       "\n"
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    }
   ],
   "source": [
    "lisa.listen_and_act(\"What did I just told you?\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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