examples/SuperAgent_Autogen/main.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "lHFbPb4JU9xF"
   },
   "source": [
    "This notebook  illustrates how you can use the langchain with custom pdf data & chat it using autogen agent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "3poVgyh-bZJ-",
    "outputId": "7244e7cf-8eca-481d-fd05-d21a82460d47"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m88.8/88.8 kB\u001b[0m \u001b[31m1.1 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
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      "\u001b[?25h"
     ]
    }
   ],
   "source": [
    "%pip install pyautogen~=0.1.0  langchain langchain_community openai tiktoken lancedb pypdf -q -U"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "0tLTTT9ucFEb"
   },
   "outputs": [],
   "source": [
    "from langchain_community.embeddings import OpenAIEmbeddings\n",
    "from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
    "from langchain.document_loaders import PyPDFLoader\n",
    "from langchain.memory import ConversationBufferMemory\n",
    "from langchain.llms import OpenAI\n",
    "from langchain.chains import ConversationalRetrievalChain\n",
    "from langchain_community.vectorstores import LanceDB"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "ObNypsHRV3mz"
   },
   "source": [
    "Requirements\n",
    "AutoGen requires Python>=3.8. To run this notebook example, please install pyautogen:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "6RuVu12whCG0",
    "outputId": "1300d37d-65ae-4e24-cbfb-d1cc701db28d"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: pyautogen in /usr/local/lib/python3.10/dist-packages (0.1.14)\n",
      "Requirement already satisfied: diskcache in /usr/local/lib/python3.10/dist-packages (from pyautogen) (5.6.3)\n",
      "Requirement already satisfied: flaml in /usr/local/lib/python3.10/dist-packages (from pyautogen) (2.1.2)\n",
      "Requirement already satisfied: openai<1 in /usr/local/lib/python3.10/dist-packages (from pyautogen) (0.28.1)\n",
      "Requirement already satisfied: python-dotenv in /usr/local/lib/python3.10/dist-packages (from pyautogen) (1.0.1)\n",
      "Requirement already satisfied: termcolor in /usr/local/lib/python3.10/dist-packages (from pyautogen) (2.4.0)\n",
      "Requirement already satisfied: requests>=2.20 in /usr/local/lib/python3.10/dist-packages (from openai<1->pyautogen) (2.31.0)\n",
      "Requirement already satisfied: tqdm in /usr/local/lib/python3.10/dist-packages (from openai<1->pyautogen) (4.66.4)\n",
      "Requirement already satisfied: aiohttp in /usr/local/lib/python3.10/dist-packages (from openai<1->pyautogen) (3.9.5)\n",
      "Requirement already satisfied: NumPy>=1.17 in /usr/local/lib/python3.10/dist-packages (from flaml->pyautogen) (1.25.2)\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests>=2.20->openai<1->pyautogen) (3.3.2)\n",
      "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests>=2.20->openai<1->pyautogen) (3.7)\n",
      "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests>=2.20->openai<1->pyautogen) (2.0.7)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests>=2.20->openai<1->pyautogen) (2024.2.2)\n",
      "Requirement already satisfied: aiosignal>=1.1.2 in /usr/local/lib/python3.10/dist-packages (from aiohttp->openai<1->pyautogen) (1.3.1)\n",
      "Requirement already satisfied: attrs>=17.3.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->openai<1->pyautogen) (23.2.0)\n",
      "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from aiohttp->openai<1->pyautogen) (1.4.1)\n",
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      "Requirement already satisfied: yarl<2.0,>=1.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->openai<1->pyautogen) (1.9.4)\n",
      "Requirement already satisfied: async-timeout<5.0,>=4.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->openai<1->pyautogen) (4.0.3)\n"
     ]
    }
   ],
   "source": [
    "!pip install pyautogen"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "id": "sUFdvTyVh8xF"
   },
   "outputs": [],
   "source": [
    "import lancedb\n",
    "import os\n",
    "\n",
    "# setup OPENAI API KEY\n",
    "os.environ[\"OPENAI_API_KEY\"] = \"sk-....\"\n",
    "\n",
    "embeddings = OpenAIEmbeddings()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "ODKg12trdhX-",
    "outputId": "4736d14d-454c-4458-98c4-d2d0d2edceb9"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--2024-05-28 05:17:50--  https://pdf.usaid.gov/pdf_docs/PA00TBCT.pdf\n",
      "Resolving pdf.usaid.gov (pdf.usaid.gov)... 23.4.180.157, 2600:1408:5400:197::1923, 2600:1408:5400:183::1923\n",
      "Connecting to pdf.usaid.gov (pdf.usaid.gov)|23.4.180.157|:443... connected.\n",
      "HTTP request sent, awaiting response... 200 OK\n",
      "Length: 6419525 (6.1M) [application/pdf]\n",
      "Saving to: ‘food.pdf’\n",
      "\n",
      "food.pdf            100%[===================>]   6.12M  27.0MB/s    in 0.2s    \n",
      "\n",
      "2024-05-28 05:17:51 (27.0 MB/s) - ‘food.pdf’ saved [6419525/6419525]\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# !wget -O uniswap_v3.pdf https://uniswap.org/whitepaper-v3.pdf\n",
    "!wget -O food.pdf https://pdf.usaid.gov/pdf_docs/PA00TBCT.pdf"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "yV0pNPiRPy8h"
   },
   "source": [
    "# create file name with OAI_CONFIG_LIT.json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "id": "yWDhjTDMcFBi"
   },
   "outputs": [],
   "source": [
    "# create file name with OAI_CONFIG_LIT.\n",
    "import json\n",
    "\n",
    "config = [{\"model\": \"gpt-4\", \"api_key\": os.environ[\"OPENAI_API_KEY\"]}]\n",
    "\n",
    "with open(\"OAI_CONFIG_LIT.json\", \"w\") as fp:\n",
    "    json.dump(config, fp)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "1oC3NAFyd4Kb"
   },
   "source": [
    "**create OAI_CONFIG_LIST.json file in pwd & upload\n",
    "in it**\n",
    "\n",
    "\n",
    "[\n",
    "   {\n",
    "     \"model\": \"gpt-4\",\n",
    "     \"api_key\": \"sk-yourapikey\"\n",
    "   }\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "id": "H1bRXWu-cE_C"
   },
   "outputs": [],
   "source": [
    "import autogen\n",
    "\n",
    "config_list = autogen.config_list_from_json(\n",
    "    \"OAI_CONFIG_LIST.json\",\n",
    "    filter_dict={\n",
    "        \"model\": [\"gpt-4\"],\n",
    "    },\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "id": "5gapqmsscFG-"
   },
   "outputs": [],
   "source": [
    "loaders = [PyPDFLoader(\"./food.pdf\")]\n",
    "docs = []\n",
    "for l in loaders:\n",
    "    docs.extend(l.load())\n",
    "text_splitter = RecursiveCharacterTextSplitter(chunk_size=1000)\n",
    "docs = text_splitter.split_documents(docs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "id": "5dLkCqa0dLXV"
   },
   "outputs": [],
   "source": [
    "import lancedb\n",
    "\n",
    "embeddings = OpenAIEmbeddings()\n",
    "\n",
    "vectorstore = LanceDB.from_documents(documents=docs, embedding=embeddings)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "id": "YMBoF5kucFMJ"
   },
   "outputs": [],
   "source": [
    "qa = ConversationalRetrievalChain.from_llm(\n",
    "    OpenAI(\n",
    "        temperature=0,\n",
    "    ),\n",
    "    vectorstore.as_retriever(),\n",
    "    memory=ConversationBufferMemory(memory_key=\"chat_history\", return_messages=True),\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "id": "HjSVygLIcSEX"
   },
   "outputs": [],
   "source": [
    "def answer_food_question(question):\n",
    "    response = qa({\"question\": question})\n",
    "    return response[\"answer\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 90
    },
    "id": "XCqxSaQSepsW",
    "outputId": "309a74fe-05c6-4d78-ad3e-e720b77d6e3c"
   },
   "outputs": [
    {
     "data": {
      "application/vnd.google.colaboratory.intrinsic+json": {
       "type": "string"
      },
      "text/plain": [
       "' Good food is any type of food that provides the recommended amounts of nutrients for the body to perform its physiological activities. It should be eaten at the right time, in the right amounts, and prepared correctly. Good food is important for physical and cognitive development, and can help prevent health problems. Foods can also be classified according to their functions in the body, such as energy-giving foods, body-building foods, and protective foods.'"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "question = \"what is good food\"\n",
    "answer_food_question(question)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "BY4Fz-l7cUCA",
    "outputId": "e90c9b52-ab8e-4176-e249-fba0f20cae68"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
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      "Requirement already satisfied: frozenlist>=1.1.1 in /usr/local/lib/python3.10/dist-packages (from aiohttp->openai<1->pyautogen) (1.4.1)\n",
      "Requirement already satisfied: multidict<7.0,>=4.5 in /usr/local/lib/python3.10/dist-packages (from aiohttp->openai<1->pyautogen) (6.0.5)\n",
      "Requirement already satisfied: yarl<2.0,>=1.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->openai<1->pyautogen) (1.9.4)\n",
      "Requirement already satisfied: async-timeout<5.0,>=4.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp->openai<1->pyautogen) (4.0.3)\n"
     ]
    }
   ],
   "source": [
    "!pip install pyautogen"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "anvuLAIycaqb"
   },
   "source": [
    "#### 4. Set up AutoGen user agent and assistant agent with function calling enabled."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {
    "id": "Vca8Y_khcUID"
   },
   "outputs": [],
   "source": [
    "llm_config = {\n",
    "    \"request_timeout\": 600,\n",
    "    \"seed\": 42,\n",
    "    \"config_list\": config_list,\n",
    "    \"temperature\": 0,\n",
    "    \"functions\": [\n",
    "        {\n",
    "            \"name\": \"answer_food_question\",\n",
    "            \"description\": \"Answer to any quetion related to food & provided answer_food_question \",\n",
    "            \"parameters\": {\n",
    "                \"type\": \"object\",\n",
    "                \"properties\": {\n",
    "                    \"question\": {\n",
    "                        \"type\": \"string\",\n",
    "                        \"description\": \"The question to ask in relation to food\",\n",
    "                    }\n",
    "                },\n",
    "                \"required\": [\"question\"],\n",
    "            },\n",
    "        }\n",
    "    ],\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "id": "1XHjzIYAcfE7"
   },
   "outputs": [],
   "source": [
    "# create an AssistantAgent instance named \"assistant\"\n",
    "assistant = autogen.AssistantAgent(\n",
    "    name=\"assistant\",\n",
    "    llm_config=llm_config,\n",
    ")\n",
    "# create a UserProxyAgent instance named \"user_proxy\"\n",
    "user_proxy = autogen.UserProxyAgent(\n",
    "    name=\"user_proxy\",\n",
    "    human_input_mode=\"NEVER\",\n",
    "    max_consecutive_auto_reply=10,\n",
    "    code_execution_config={\"work_dir\": \".\"},\n",
    "    llm_config=llm_config,\n",
    "    system_message=\"\"\"Reply TERMINATE if the task has been solved at full satisfaction.\n",
    "Otherwise, reply CONTINUE, or the reason why the task is not solved yet.\"\"\",\n",
    "    function_map={\"answer_food_question\": answer_food_question},\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "hOZKxakHchZ4",
    "outputId": "20693c38-773a-47d2-bfc4-8311c7ef4d1d"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "user_proxy (to assistant):\n",
      "\n",
      "\n",
      "what is good food?\n",
      "\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "assistant (to user_proxy):\n",
      "\n",
      "***** Suggested function Call: answer_food_question *****\n",
      "Arguments: \n",
      "{\n",
      "  \"question\": \"what is good food?\"\n",
      "}\n",
      "*********************************************************\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\n",
      ">>>>>>>> EXECUTING FUNCTION answer_food_question...\n",
      "user_proxy (to assistant):\n",
      "\n",
      "***** Response from calling function \"answer_food_question\" *****\n",
      " Good food is food that is able to provide the recommended amounts of nutrients for the body to perform all its physiological activities. It is important because it helps with physical and cognitive development, promotes good health, and improves the quality of life. Good food should be eaten at the right time, in the right amounts, and prepared correctly. It can also be classified into different categories based on its function in the body, such as energy-giving foods, body-building foods, and protective foods.\n",
      "*****************************************************************\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "assistant (to user_proxy):\n",
      "\n",
      "Good food is food that provides the recommended amounts of nutrients for the body to perform all its physiological activities. It is important because it helps with physical and cognitive development, promotes good health, and improves the quality of life. Good food should be eaten at the right time, in the right amounts, and prepared correctly. It can also be classified into different categories based on its function in the body, such as energy-giving foods, body-building foods, and protective foods.\n",
      "\n",
      "TERMINATE\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "user_proxy (to assistant):\n",
      "\n",
      "TERMINATE\n",
      "\n",
      "--------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "# the assistant receives a message from the user, which contains the task description\n",
    "user_proxy.initiate_chat(\n",
    "    assistant,\n",
    "    message=\"\"\"\n",
    "what is good food?\n",
    "\"\"\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "UDXo2V06fNjz",
    "outputId": "057425b5-f0c1-4132-cdc6-fd03197e95c3"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "user_proxy (to assistant):\n",
      "\n",
      "\n",
      "please explain me essential minerals, sources, functions and symptoms of\n",
      "deficiency?\n",
      "\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "assistant (to user_proxy):\n",
      "\n",
      "Sure, here are some essential minerals, their sources, functions, and symptoms of deficiency:\n",
      "\n",
      "1. Calcium:\n",
      "   - Sources: Dairy products, leafy green vegetables, fish with edible bones (like sardines and salmon), fortified foods.\n",
      "   - Functions: Necessary for bone health, muscle function, nerve transmission, blood clotting.\n",
      "   - Deficiency Symptoms: Osteoporosis, rickets in children, muscle cramps, dental problems.\n",
      "\n",
      "2. Iron:\n",
      "   - Sources: Red meat, poultry, fish, legumes, fortified cereals.\n",
      "   - Functions: Essential for the production of red blood cells, carries oxygen in the blood.\n",
      "   - Deficiency Symptoms: Anemia, fatigue, weakness, pale skin, shortness of breath.\n",
      "\n",
      "3. Potassium:\n",
      "   - Sources: Bananas, oranges, cantaloupes, raisins, nuts, fish, chicken, beef, and pork.\n",
      "   - Functions: Helps maintain fluid balance, nerve transmission, muscle contractions.\n",
      "   - Deficiency Symptoms: Weakness, fatigue, muscle cramps, constipation.\n",
      "\n",
      "4. Magnesium:\n",
      "   - Sources: Green leafy vegetables, nuts, seeds, whole grains, fish.\n",
      "   - Functions: Involved in over 300 enzymatic reactions in the body including energy production, protein synthesis, muscle and nerve function.\n",
      "   - Deficiency Symptoms: Loss of appetite, nausea, fatigue, weakness, muscle cramps, numbness and tingling.\n",
      "\n",
      "5. Zinc:\n",
      "   - Sources: Meat, shellfish, legumes, seeds, nuts, dairy, eggs.\n",
      "   - Functions: Supports immune function, protein synthesis, wound healing, DNA synthesis, and cell division.\n",
      "   - Deficiency Symptoms: Loss of appetite, impaired immune function, hair loss, diarrhea, delayed sexual maturation.\n",
      "\n",
      "Please note that this is not an exhaustive list and there are many other essential minerals that the body needs. It's also important to remember that while these minerals are essential for health, they should be consumed in moderation as too much can also lead to health problems. Always consult with a healthcare provider or a registered dietitian for personalized advice.\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "user_proxy (to assistant):\n",
      "\n",
      "TERMINATE\n",
      "\n",
      "--------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "# the assistant receives a message from the user, which contains the task description\n",
    "user_proxy.initiate_chat(\n",
    "    assistant,\n",
    "    message=\"\"\"\n",
    "please explain me essential minerals, sources, functions and symptoms of\n",
    "deficiency?\n",
    "\"\"\",\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "id": "UrlFGYW0g0sJ",
    "outputId": "0fbf3ed8-0103-4904-9737-2a41e6e1cf0d"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "user_proxy (to assistant):\n",
      "\n",
      "\n",
      "which food Keeps eyes healthy ?\n",
      "\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "assistant (to user_proxy):\n",
      "\n",
      "***** Suggested function Call: answer_food_question *****\n",
      "Arguments: \n",
      "\n",
      "{\n",
      "  \"question\": \"which food Keeps eyes healthy ?\"\n",
      "}\n",
      "*********************************************************\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "\n",
      ">>>>>>>> EXECUTING FUNCTION answer_food_question...\n",
      "user_proxy (to assistant):\n",
      "\n",
      "***** Response from calling function \"answer_food_question\" *****\n",
      " Fruits and vegetables, particularly dark green leafy vegetables and yellow fruits, are considered protective and can help keep eyes healthy.\n",
      "*****************************************************************\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "assistant (to user_proxy):\n",
      "\n",
      "Fruits and vegetables, particularly dark green leafy vegetables and yellow fruits, are considered protective and can help keep eyes healthy. These foods are rich in vitamins A, C, E, and minerals like Copper and Zinc which are essential for eye health. Foods like carrots, sweet potatoes, spinach, kale, and other dark green leafy vegetables; and fish like salmon and tuna are good for eye health.\n",
      "\n",
      "TERMINATE\n",
      "\n",
      "--------------------------------------------------------------------------------\n",
      "user_proxy (to assistant):\n",
      "\n",
      "TERMINATE\n",
      "\n",
      "--------------------------------------------------------------------------------\n"
     ]
    }
   ],
   "source": [
    "# the assistant receives a message from the user, which contains the task description\n",
    "user_proxy.initiate_chat(\n",
    "    assistant,\n",
    "    message=\"\"\"\n",
    "which food Keeps eyes healthy ?\n",
    "\"\"\",\n",
    ")"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "provenance": []
  },
  "kernelspec": {
   "display_name": "Python 3",
   "name": "python3"
  },
  "language_info": {
   "name": "python"
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 },
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