Multi_Ai_Agent_LangGraph.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "K53V0cwH-Btd",
        "outputId": "9cb03513-ed99-4f3d-cda7-b17de8fd9f0a"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: langsmith in /usr/local/lib/python3.10/dist-packages (0.1.147)\n",
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            "Collecting langgraph\n",
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            "Requirement already satisfied: annotated-types>=0.6.0 in /usr/local/lib/python3.10/dist-packages (from pydantic<3.0.0,>=2.5.2->langchain-core!=0.3.0,!=0.3.1,!=0.3.10,!=0.3.11,!=0.3.12,!=0.3.13,!=0.3.14,!=0.3.2,!=0.3.3,!=0.3.4,!=0.3.5,!=0.3.6,!=0.3.7,!=0.3.8,!=0.3.9,<0.4.0,>=0.2.43->langgraph) (0.7.0)\n",
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            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2->langsmith<0.2.0,>=0.1.125->langchain-core!=0.3.0,!=0.3.1,!=0.3.10,!=0.3.11,!=0.3.12,!=0.3.13,!=0.3.14,!=0.3.2,!=0.3.3,!=0.3.4,!=0.3.5,!=0.3.6,!=0.3.7,!=0.3.8,!=0.3.9,<0.4.0,>=0.2.43->langgraph) (3.4.0)\n",
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            "Requirement already satisfied: sniffio>=1.1 in /usr/local/lib/python3.10/dist-packages (from anyio->httpx>=0.25.2->langgraph-sdk<0.2.0,>=0.1.42->langgraph) (1.3.1)\n",
            "Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio->httpx>=0.25.2->langgraph-sdk<0.2.0,>=0.1.42->langgraph) (1.2.2)\n",
            "Downloading langgraph-0.2.56-py3-none-any.whl (126 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m126.8/126.8 kB\u001b[0m \u001b[31m6.2 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hDownloading langgraph_checkpoint-2.0.8-py3-none-any.whl (35 kB)\n",
            "Downloading langgraph_sdk-0.1.43-py3-none-any.whl (31 kB)\n",
            "Installing collected packages: langgraph-sdk, langgraph-checkpoint, langgraph\n",
            "Successfully installed langgraph-0.2.56 langgraph-checkpoint-2.0.8 langgraph-sdk-0.1.43\n",
            "Collecting faiss-cpu\n",
            "  Downloading faiss_cpu-1.9.0.post1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.metadata (4.4 kB)\n",
            "Requirement already satisfied: numpy<3.0,>=1.25.0 in /usr/local/lib/python3.10/dist-packages (from faiss-cpu) (1.26.4)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.10/dist-packages (from faiss-cpu) (24.2)\n",
            "Downloading faiss_cpu-1.9.0.post1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (27.5 MB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m27.5/27.5 MB\u001b[0m \u001b[31m50.9 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: faiss-cpu\n",
            "Successfully installed faiss-cpu-1.9.0.post1\n",
            "\u001b[31mERROR: Could not find a version that satisfies the requirement langchain-hub (from versions: none)\u001b[0m\u001b[31m\n",
            "\u001b[0m\u001b[31mERROR: No matching distribution found for langchain-hub\u001b[0m\u001b[31m\n",
            "\u001b[0mCollecting langchain_groq\n",
            "  Downloading langchain_groq-0.2.1-py3-none-any.whl.metadata (2.9 kB)\n",
            "Collecting groq<1,>=0.4.1 (from langchain_groq)\n",
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            "Downloading langchain_groq-0.2.1-py3-none-any.whl (14 kB)\n",
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            "\u001b[?25hInstalling collected packages: groq, langchain_groq\n",
            "Successfully installed groq-0.13.0 langchain_groq-0.2.1\n",
            "Collecting langchain_community\n",
            "  Downloading langchain_community-0.3.10-py3-none-any.whl.metadata (2.9 kB)\n",
            "Requirement already satisfied: PyYAML>=5.3 in /usr/local/lib/python3.10/dist-packages (from langchain_community) (6.0.2)\n",
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            "  Downloading dataclasses_json-0.6.7-py3-none-any.whl.metadata (25 kB)\n",
            "Collecting httpx-sse<0.5.0,>=0.4.0 (from langchain_community)\n",
            "  Downloading httpx_sse-0.4.0-py3-none-any.whl.metadata (9.0 kB)\n",
            "Collecting langchain<0.4.0,>=0.3.10 (from langchain_community)\n",
            "  Downloading langchain-0.3.10-py3-none-any.whl.metadata (7.1 kB)\n",
            "Collecting langchain-core<0.4.0,>=0.3.22 (from langchain_community)\n",
            "  Downloading langchain_core-0.3.22-py3-none-any.whl.metadata (6.3 kB)\n",
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            "  Downloading pydantic_settings-2.6.1-py3-none-any.whl.metadata (3.5 kB)\n",
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            "Collecting marshmallow<4.0.0,>=3.18.0 (from dataclasses-json<0.7,>=0.5.7->langchain_community)\n",
            "  Downloading marshmallow-3.23.1-py3-none-any.whl.metadata (7.5 kB)\n",
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            "Collecting python-dotenv>=0.21.0 (from pydantic-settings<3.0.0,>=2.4.0->langchain_community)\n",
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            "Downloading mypy_extensions-1.0.0-py3-none-any.whl (4.7 kB)\n",
            "Installing collected packages: python-dotenv, mypy-extensions, marshmallow, httpx-sse, typing-inspect, pydantic-settings, dataclasses-json, langchain-core, langchain, langchain_community\n",
            "  Attempting uninstall: langchain-core\n",
            "    Found existing installation: langchain-core 0.3.21\n",
            "    Uninstalling langchain-core-0.3.21:\n",
            "      Successfully uninstalled langchain-core-0.3.21\n",
            "  Attempting uninstall: langchain\n",
            "    Found existing installation: langchain 0.3.9\n",
            "    Uninstalling langchain-0.3.9:\n",
            "      Successfully uninstalled langchain-0.3.9\n",
            "Successfully installed dataclasses-json-0.6.7 httpx-sse-0.4.0 langchain-0.3.10 langchain-core-0.3.22 langchain_community-0.3.10 marshmallow-3.23.1 mypy-extensions-1.0.0 pydantic-settings-2.6.1 python-dotenv-1.0.1 typing-inspect-0.9.0\n"
          ]
        }
      ],
      "source": [
        "!pip install langsmith\n",
        "!pip install langchain\n",
        "!pip install langgraph\n",
        "!pip install faiss-cpu\n",
        "!pip install langchain-hub\n",
        "!pip install langchain_groq\n",
        "!pip install langchain_community"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install arxiv wikipedia langchain_community"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "NoUadztLFj9V",
        "outputId": "eb5c776a-fb12-42c4-bc9a-4e84e2d997fc"
      },
      "execution_count": 29,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
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            "Requirement already satisfied: yarl<2.0,>=1.17.0 in /usr/local/lib/python3.10/dist-packages (from aiohttp<4.0.0,>=3.8.3->langchain_community) (1.18.3)\n",
            "Requirement already satisfied: marshmallow<4.0.0,>=3.18.0 in /usr/local/lib/python3.10/dist-packages (from dataclasses-json<0.7,>=0.5.7->langchain_community) (3.23.1)\n",
            "Requirement already satisfied: typing-inspect<1,>=0.4.0 in /usr/local/lib/python3.10/dist-packages (from dataclasses-json<0.7,>=0.5.7->langchain_community) (0.9.0)\n",
            "Requirement already satisfied: sgmllib3k in /usr/local/lib/python3.10/dist-packages (from feedparser~=6.0.10->arxiv) (1.0.0)\n",
            "Requirement already satisfied: langchain-text-splitters<0.4.0,>=0.3.0 in /usr/local/lib/python3.10/dist-packages (from langchain<0.4.0,>=0.3.10->langchain_community) (0.3.2)\n",
            "Requirement already satisfied: pydantic<3.0.0,>=2.7.4 in /usr/local/lib/python3.10/dist-packages (from langchain<0.4.0,>=0.3.10->langchain_community) (2.10.3)\n",
            "Requirement already satisfied: jsonpatch<2.0,>=1.33 in /usr/local/lib/python3.10/dist-packages (from langchain-core<0.4.0,>=0.3.22->langchain_community) (1.33)\n",
            "Requirement already satisfied: packaging<25,>=23.2 in /usr/local/lib/python3.10/dist-packages (from langchain-core<0.4.0,>=0.3.22->langchain_community) (24.2)\n",
            "Requirement already satisfied: typing-extensions>=4.7 in /usr/local/lib/python3.10/dist-packages (from langchain-core<0.4.0,>=0.3.22->langchain_community) (4.12.2)\n",
            "Requirement already satisfied: httpx<1,>=0.23.0 in /usr/local/lib/python3.10/dist-packages (from langsmith<0.2.0,>=0.1.125->langchain_community) (0.28.0)\n",
            "Requirement already satisfied: orjson<4.0.0,>=3.9.14 in /usr/local/lib/python3.10/dist-packages (from langsmith<0.2.0,>=0.1.125->langchain_community) (3.10.12)\n",
            "Requirement already satisfied: requests-toolbelt<2.0.0,>=1.0.0 in /usr/local/lib/python3.10/dist-packages (from langsmith<0.2.0,>=0.1.125->langchain_community) (1.0.0)\n",
            "Requirement already satisfied: python-dotenv>=0.21.0 in /usr/local/lib/python3.10/dist-packages (from pydantic-settings<3.0.0,>=2.4.0->langchain_community) (1.0.1)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests~=2.32.0->arxiv) (3.4.0)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests~=2.32.0->arxiv) (3.10)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests~=2.32.0->arxiv) (2.2.3)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests~=2.32.0->arxiv) (2024.8.30)\n",
            "Requirement already satisfied: greenlet!=0.4.17 in /usr/local/lib/python3.10/dist-packages (from SQLAlchemy<3,>=1.4->langchain_community) (3.1.1)\n",
            "Requirement already satisfied: soupsieve>1.2 in /usr/local/lib/python3.10/dist-packages (from beautifulsoup4->wikipedia) (2.6)\n",
            "Requirement already satisfied: anyio in /usr/local/lib/python3.10/dist-packages (from httpx<1,>=0.23.0->langsmith<0.2.0,>=0.1.125->langchain_community) (3.7.1)\n",
            "Requirement already satisfied: httpcore==1.* in /usr/local/lib/python3.10/dist-packages (from httpx<1,>=0.23.0->langsmith<0.2.0,>=0.1.125->langchain_community) (1.0.7)\n",
            "Requirement already satisfied: h11<0.15,>=0.13 in /usr/local/lib/python3.10/dist-packages (from httpcore==1.*->httpx<1,>=0.23.0->langsmith<0.2.0,>=0.1.125->langchain_community) (0.14.0)\n",
            "Requirement already satisfied: jsonpointer>=1.9 in /usr/local/lib/python3.10/dist-packages (from jsonpatch<2.0,>=1.33->langchain-core<0.4.0,>=0.3.22->langchain_community) (3.0.0)\n",
            "Requirement already satisfied: annotated-types>=0.6.0 in /usr/local/lib/python3.10/dist-packages (from pydantic<3.0.0,>=2.7.4->langchain<0.4.0,>=0.3.10->langchain_community) (0.7.0)\n",
            "Requirement already satisfied: pydantic-core==2.27.1 in /usr/local/lib/python3.10/dist-packages (from pydantic<3.0.0,>=2.7.4->langchain<0.4.0,>=0.3.10->langchain_community) (2.27.1)\n",
            "Requirement already satisfied: mypy-extensions>=0.3.0 in /usr/local/lib/python3.10/dist-packages (from typing-inspect<1,>=0.4.0->dataclasses-json<0.7,>=0.5.7->langchain_community) (1.0.0)\n",
            "Requirement already satisfied: sniffio>=1.1 in /usr/local/lib/python3.10/dist-packages (from anyio->httpx<1,>=0.23.0->langsmith<0.2.0,>=0.1.125->langchain_community) (1.3.1)\n",
            "Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio->httpx<1,>=0.23.0->langsmith<0.2.0,>=0.1.125->langchain_community) (1.2.2)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "LyJlSEw8EYDj"
      },
      "execution_count": 36,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "wikipedia_tool.name,arxiv_tool.name"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "d5aTSbekH89J",
        "outputId": "2b4d6871-1676-47c1-8985-2b0025643f0f"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "('wikipedia', 'arxiv')"
            ]
          },
          "metadata": {},
          "execution_count": 39
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "from google.colab import userdata\n",
        "lamgsmith=userdata.get('LANG_CHAIN_SMITH')\n",
        "groq_api = userdata.get('groq_api_key')"
      ],
      "metadata": {
        "id": "MKsp2wzS-aEr"
      },
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#validate all the keys\n",
        "os.environ[\"LANGCHAIN_TRACING_V2\"] = \"true\"\n",
        "os.environ[\"LANGCHAIN_ENDPOINT\"] = \"https://api.smith.langchain.com\"\n",
        "os.environ[\"LANGCHAIN_API_KEY\"] = lamgsmith\n",
        "os.environ[\"LANGCHAIN_PROJECT\"] = \"langchain\""
      ],
      "metadata": {
        "id": "fG2WjGiw-p-g"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import langchain,langgraph,langchain_groq,langchain_community\n",
        "from langgraph.graph.message import add_messages\n",
        "from langgraph.graph import StateGraph, START, END\n",
        "from typing import TypedDict      #this is used for managing state class\n",
        "from typing_extensions import Annotated      #this is used for managing state class\n",
        "from langchain.memory import VectorStoreRetrieverMemory,ConversationBufferWindowMemory,ConversationBufferMemory\n",
        "from langchain_groq import ChatGroq\n",
        "from pydantic import BaseModel\n",
        "from pydantic.v1 import Field"
      ],
      "metadata": {
        "id": "Mmi3ZAT0-uaV"
      },
      "execution_count": 44,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#creating object of llm model\n",
        "llm = ChatGroq(\n",
        "    groq_api_key=groq_api,\n",
        "    model=\"gemma-7b-it\",\n",
        "    verbose=True,\n",
        ")"
      ],
      "metadata": {
        "id": "tA-rf-soDL6S"
      },
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "response = llm.invoke(\"Most difficult word in medical to read in the world?\")\n",
        "print(response.content)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "msdtrDM7D3aT",
        "outputId": "2759da42-2e97-4e1e-cd39-35ccdab427f9"
      },
      "execution_count": 25,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "**Hypopalatine**\n",
            "\n",
            "This word is considered one of the most difficult words in the medical field due to its complex structure, numerous syllables, and unusual spelling.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#install  external tools like wipediaapiwrapper,Arxivapiwrapper\n",
        "from langchain_community.utilities import WikipediaAPIWrapper,ArxivAPIWrapper\n",
        "from langchain_community.tools import ArxivQueryRun,WikipediaQueryRun\n",
        "\n",
        "#Arxiv and wikipidia\n",
        "arxiv_api = ArxivAPIWrapper(top_k_results=1,doc_content_chars_max=500)\n",
        "arxiv_tool = ArxivQueryRun(api_wrapper=arxiv_api) #for arxiv tools these are external tools\n",
        "\n",
        "api_wrapper = WikipediaAPIWrapper(top_k_results=1,doc_content_chars_max=400)\n",
        "wikipedia_tool = WikipediaQueryRun(api_wrapper=api_wrapper) #for wikipedia tool these are external tools\n",
        "\n",
        "print(F\"TOOLS ARE: {arxiv_tool.name} and {wikipedia_tool.name}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wS9NwYrbJH5M",
        "outputId": "b68a980e-8062-434a-d4c9-7072a61e84c4"
      },
      "execution_count": 41,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "TOOLS ARE: arxiv and wikipedia\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "wikipedia_tool.invoke(\"Most difficult word in medical to read in the world?\").split(\"\\n\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xDSH4C1XKUe3",
        "outputId": "878335bf-94ac-455d-a510-a639f54f5390"
      },
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Page: Reading',\n",
              " 'Summary: Reading is the process of taking in the sense or meaning of symbols, often specifically those of a written language, by means of sight or touch.',\n",
              " 'For educators and researchers, reading is a multifaceted process involving such areas as word recognition, orthography (spelling), alphabetics, phonics, phonemic awareness, vocabulary, comprehension, fluency, and motivation.',\n",
              " 'Other t']"
            ]
          },
          "metadata": {},
          "execution_count": 48
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "arxiv_tool.invoke(\"Attention is all you need\").split(\"\\n\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cfj46JcaKUbl",
        "outputId": "6864e7cb-294e-4eea-86a8-ea7c198ce880"
      },
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['Published: 2024-07-22',\n",
              " \"Title: Attention Is All You Need But You Don't Need All Of It For Inference of Large Language Models\",\n",
              " 'Authors: Georgy Tyukin, Gbetondji J-S Dovonon, Jean Kaddour, Pasquale Minervini',\n",
              " 'Summary: The inference demand for LLMs has skyrocketed in recent months, and serving',\n",
              " 'models with low latencies remains challenging due to the quadratic input length',\n",
              " 'complexity of the attention layers. In this work, we investigate the effect of',\n",
              " 'dropping MLP and attention layers at inference time o']"
            ]
          },
          "metadata": {},
          "execution_count": 52
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#1:Langraph_application\n",
        "from langgraph.prebuilt import ToolNode,tools_condition\n",
        "\n",
        "class State(TypedDict):\n",
        "  messages : Annotated[list,add_messages]  #append this message in the form of list\n",
        "\n",
        "graph_builder = StateGraph(State)\n",
        "\n",
        "#2: bind llm with the tools\n",
        "llm_with_tools=llm.bind_tools(tools=[arxiv_tool,wikipedia_tool])\n",
        "\n",
        "\n",
        "#3: define our chatbot\n",
        "def chatbot(state:State):\n",
        "  return {\"messages\":[llm_with_tools.invoke(state[\"messages\"])]}\n",
        "\n",
        "#entire flow of the execution\n",
        "graph_builder.add_node(\"chatbot\",chatbot)\n",
        "graph_builder.add_edge(START,\"chatbot\") #start node is connected with chabot\n",
        "tool_node=ToolNode(tools=[arxiv_tool,wikipedia_tool])\n",
        "graph_builder.add_node(\"tools\",tool_node)\n",
        "graph_builder.add_conditional_edges(\n",
        "    \"chatbot\",\n",
        "    tools_condition  #bidirection itself with the chatbot\n",
        ")\n",
        "graph_builder.add_edge(\"tools\",\"chatbot\") #tools node is connected with chatbot\n",
        "graph_builder.add_edge(\"tools\",END) #end node is connected with tools\n",
        "\n",
        "graph_built = graph_builder.compile()\n",
        "\n",
        "\n",
        "from IPython.display import Image,display\n",
        "\n",
        "try:\n",
        "  display(Image(graph_built.get_graph().draw_mermaid_png()))\n",
        "except:\n",
        "  \"you may have some error\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 350
        },
        "id": "8kufIRveKUYN",
        "outputId": "f65f0b64-6c7e-46b7-917d-2a75f3f8d27a"
      },
      "execution_count": 64,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "user_input = \"write a c++ code to built a calcualtor?\"\n",
        "\n",
        "events = graph_built.stream(\n",
        "    {\"messages\" : [(\"user\" , user_input)]},stream_mode=\"values\"\n",
        ")\n",
        "\n",
        "for event in events:\n",
        "  event[\"messages\"][-1].pretty_print()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZCHPOd-HKUVG",
        "outputId": "d43dfd6b-55bf-4237-894b-3ef99216634b"
      },
      "execution_count": 85,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "================================\u001b[1m Human Message \u001b[0m=================================\n",
            "\n",
            "write a c++ code to built a calcualtor?\n",
            "==================================\u001b[1m Ai Message \u001b[0m==================================\n",
            "\n",
            "```c++\n",
            "#include <iostream>\n",
            "#include <string>\n",
            "\n",
            "using namespace std;\n",
            "\n",
            "int main() {\n",
            "  string operator;\n",
            "  float num1, num2;\n",
            "\n",
            "  cout << \"Enter the first number: \";\n",
            "  cin >> num1;\n",
            "  cout << \"Enter the operator (+ - * /): \";\n",
            "  cin >> operator;\n",
            "  cout << \"Enter the second number: \";\n",
            "  cin >> num2;\n",
            "\n",
            "  float result;\n",
            "\n",
            "  switch (operator[0]) {\n",
            "    case '+' :\n",
            "      result = num1 + num2;\n",
            "      break;\n",
            "    case '-' :\n",
            "      result = num1 - num2;\n",
            "      break;\n",
            "    case '*' :\n",
            "      result = num1 * num2;\n",
            "      break;\n",
            "    case '/' :\n",
            "      if (num2 == 0) {\n",
            "        cout << \"Division by zero is undefined.\" << endl;\n",
            "        return 1;\n",
            "      }\n",
            "      result = num1 / num2;\n",
            "      break;\n",
            "    default:\n",
            "      cout << \"Invalid operator.\" << endl;\n",
            "      return 1;\n",
            "  }\n",
            "\n",
            "  cout << \"The result is: \" << result << endl;\n",
            "\n",
            "  return 0;\n",
            "}\n",
            "```\n",
            "\n",
            "**Explanation:**\n",
            "\n",
            "* The code starts by prompting the user to enter the first number.\n",
            "* It then prompts the user to enter the operator (+, -, *, /).\n",
            "* Finally, it prompts the user to enter the second number.\n",
            "* It uses a switch statement to perform the appropriate operation based on the selected operator.\n",
            "* If the division operator is chosen and the denominator is 0, it displays an error message and exits the program.\n",
            "* Otherwise, it calculates the result and displays the output.\n",
            "\n",
            "**Example Output:**\n",
            "\n",
            "```\n",
            "Enter the first number: 10\n",
            "Enter the operator +\n",
            "Enter the second number: 5\n",
            "The result is: 15\n",
            "```\n",
            "\n",
            "**Note:**\n",
            "\n",
            "* This code only supports addition, subtraction, multiplication, and division.\n",
            "* It does not handle complex numbers or other data types.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "bjRswmqTQgaT"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}