LanGgraph_Chatbot.ipynb

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            "Successfully installed langgraph-0.2.56 langgraph-checkpoint-2.0.8 langgraph-sdk-0.1.43\n"
          ]
        }
      ],
      "source": [
        "!pip install langchain\n",
        "!pip install langchain_community\n",
        "!pip install faiss-cpu\n",
        "!pip install langchain_google_genai\n",
        "!pip install langsmith\n",
        "!pip install langgraph"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from google.colab import userdata\n",
        "Langchain_smith = userdata.get('LANG_CHAIN_SMITH')\n",
        "llm = userdata.get('groq_api_key')"
      ],
      "metadata": {
        "id": "nCXlrX8k62yJ"
      },
      "execution_count": 34,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "os.environ[\"LANGCHAIN_TRACING_V2\"] = \"true\"\n",
        "os.environ[\"LANGCHAIN_ENDPOINT\"] = \"https://api.smith.langchain.com\"\n",
        "os.environ[\"LANGCHAIN_API_KEY\"] = Langchain_smith"
      ],
      "metadata": {
        "id": "r9qJZn36YJ0A"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#Chatbot with langgraph\n",
        "#start\n",
        "\n",
        "#chatbot----> llm\n",
        "\n",
        "#end\n",
        "\n",
        "#one state to another state called state management.\n",
        "#there are nodes like start chatbot and end"
      ],
      "metadata": {
        "id": "M_-L6L-6Viyz"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install langchain_groq"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "o2LqrGSteu0-",
        "outputId": "1382e2c2-35b2-4a23-b5c5-eba449e8084a"
      },
      "execution_count": 39,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Collecting 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",
            "  Downloading groq-0.13.0-py3-none-any.whl.metadata (13 kB)\n",
            "Requirement already satisfied: langchain-core<0.4.0,>=0.3.15 in /usr/local/lib/python3.10/dist-packages (from langchain_groq) (0.3.21)\n",
            "Requirement already satisfied: anyio<5,>=3.5.0 in /usr/local/lib/python3.10/dist-packages (from groq<1,>=0.4.1->langchain_groq) (3.7.1)\n",
            "Requirement already satisfied: distro<2,>=1.7.0 in /usr/local/lib/python3.10/dist-packages (from groq<1,>=0.4.1->langchain_groq) (1.9.0)\n",
            "Requirement already satisfied: httpx<1,>=0.23.0 in /usr/local/lib/python3.10/dist-packages (from groq<1,>=0.4.1->langchain_groq) (0.28.0)\n",
            "Requirement already satisfied: pydantic<3,>=1.9.0 in /usr/local/lib/python3.10/dist-packages (from groq<1,>=0.4.1->langchain_groq) (2.10.3)\n",
            "Requirement already satisfied: sniffio in /usr/local/lib/python3.10/dist-packages (from groq<1,>=0.4.1->langchain_groq) (1.3.1)\n",
            "Requirement already satisfied: typing-extensions<5,>=4.7 in /usr/local/lib/python3.10/dist-packages (from groq<1,>=0.4.1->langchain_groq) (4.12.2)\n",
            "Requirement already satisfied: PyYAML>=5.3 in /usr/local/lib/python3.10/dist-packages (from langchain-core<0.4.0,>=0.3.15->langchain_groq) (6.0.2)\n",
            "Requirement already satisfied: jsonpatch<2.0,>=1.33 in /usr/local/lib/python3.10/dist-packages (from langchain-core<0.4.0,>=0.3.15->langchain_groq) (1.33)\n",
            "Requirement already satisfied: langsmith<0.2.0,>=0.1.125 in /usr/local/lib/python3.10/dist-packages (from langchain-core<0.4.0,>=0.3.15->langchain_groq) (0.1.147)\n",
            "Requirement already satisfied: packaging<25,>=23.2 in /usr/local/lib/python3.10/dist-packages (from langchain-core<0.4.0,>=0.3.15->langchain_groq) (24.2)\n",
            "Requirement already satisfied: tenacity!=8.4.0,<10.0.0,>=8.1.0 in /usr/local/lib/python3.10/dist-packages (from langchain-core<0.4.0,>=0.3.15->langchain_groq) (9.0.0)\n",
            "Requirement already satisfied: idna>=2.8 in /usr/local/lib/python3.10/dist-packages (from anyio<5,>=3.5.0->groq<1,>=0.4.1->langchain_groq) (3.10)\n",
            "Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio<5,>=3.5.0->groq<1,>=0.4.1->langchain_groq) (1.2.2)\n",
            "Requirement already satisfied: certifi in /usr/local/lib/python3.10/dist-packages (from httpx<1,>=0.23.0->groq<1,>=0.4.1->langchain_groq) (2024.8.30)\n",
            "Requirement already satisfied: httpcore==1.* in /usr/local/lib/python3.10/dist-packages (from httpx<1,>=0.23.0->groq<1,>=0.4.1->langchain_groq) (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->groq<1,>=0.4.1->langchain_groq) (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,>=0.3.15->langchain_groq) (3.0.0)\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-core<0.4.0,>=0.3.15->langchain_groq) (3.10.12)\n",
            "Requirement already satisfied: requests<3,>=2 in /usr/local/lib/python3.10/dist-packages (from langsmith<0.2.0,>=0.1.125->langchain-core<0.4.0,>=0.3.15->langchain_groq) (2.32.3)\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-core<0.4.0,>=0.3.15->langchain_groq) (1.0.0)\n",
            "Requirement already satisfied: annotated-types>=0.6.0 in /usr/local/lib/python3.10/dist-packages (from pydantic<3,>=1.9.0->groq<1,>=0.4.1->langchain_groq) (0.7.0)\n",
            "Requirement already satisfied: pydantic-core==2.27.1 in /usr/local/lib/python3.10/dist-packages (from pydantic<3,>=1.9.0->groq<1,>=0.4.1->langchain_groq) (2.27.1)\n",
            "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<0.4.0,>=0.3.15->langchain_groq) (3.4.0)\n",
            "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests<3,>=2->langsmith<0.2.0,>=0.1.125->langchain-core<0.4.0,>=0.3.15->langchain_groq) (2.2.3)\n",
            "Downloading langchain_groq-0.2.1-py3-none-any.whl (14 kB)\n",
            "Downloading groq-0.13.0-py3-none-any.whl (108 kB)\n",
            "\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m108.8/108.8 kB\u001b[0m \u001b[31m4.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hInstalling collected packages: groq, langchain_groq\n",
            "Successfully installed groq-0.13.0 langchain_groq-0.2.1\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from langchain_groq import ChatGroq\n",
        "\n",
        "llm = ChatGroq(\n",
        "    groq_api_key=llm,\n",
        "    model=\"mixtral-8x7b-32768\",\n",
        "    temperature=0,\n",
        "    max_tokens=None,\n",
        "    timeout=None,\n",
        "    max_retries=2,\n",
        "    # other params...\n",
        ")"
      ],
      "metadata": {
        "id": "PpAyGrUcWgUg"
      },
      "execution_count": 40,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "llm #done with model"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "JmaxFHL-Ytd_",
        "outputId": "fd70c951-32f8-4bdc-e8c0-9ef0e8f9c3d4"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "ChatGoogleGenerativeAI(model='models/gemini-1.5-pro', temperature=0.0, max_retries=2, client=<google.ai.generativelanguage_v1beta.services.generative_service.client.GenerativeServiceClient object at 0x79c9525497e0>, default_metadata=())"
            ]
          },
          "metadata": {},
          "execution_count": 15
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#start building chatbot using langgraph\n",
        "from typing import Annotated\n",
        "from typing_extensions import TypedDict\n",
        "from langgraph.graph import StateGraph , START,END\n",
        "from langgraph.graph.message import add_messages"
      ],
      "metadata": {
        "id": "TAJ0eCp9Y3Yc"
      },
      "execution_count": 41,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "class State(TypedDict):\n",
        "\n",
        "\n",
        "  messages : Annotated[list,add_messages] #messages will not be overwrite\n",
        "\n",
        "\n",
        "graph_builder = StateGraph(State)"
      ],
      "metadata": {
        "id": "mrXyrnvsZnTk"
      },
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "graph_builder"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RhHp1_Jyabtg",
        "outputId": "1401fd91-b931-46dc-bb6f-4692bc6be444"
      },
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<langgraph.graph.state.StateGraph at 0x79c9329ddc90>"
            ]
          },
          "metadata": {},
          "execution_count": 43
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#cahtbot\n",
        "def chatbot(state:State):\n",
        "  return {\"messages\":llm.invoke(state[\"messages\"])}\n",
        ""
      ],
      "metadata": {
        "id": "IBWpS7ltaePJ"
      },
      "execution_count": 44,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "graph_builder.add_node(\"chatbot\",chatbot)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "rQxX7xVPa-qA",
        "outputId": "1c7d675f-0a33-4c79-b5f8-574361cde706"
      },
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<langgraph.graph.state.StateGraph at 0x79c9329ddc90>"
            ]
          },
          "metadata": {},
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "graph_builder"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hgKmcm_NbFyx",
        "outputId": "a56ea666-97a5-46dc-9766-c515e92b3d79"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<langgraph.graph.state.StateGraph at 0x79c9329ddc90>"
            ]
          },
          "metadata": {},
          "execution_count": 46
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "graph_builder.add_edge(START,\"chatbot\")\n",
        "graph_builder.add_edge(\"chatbot\",END)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "1TYU4WzNbQPi",
        "outputId": "76780052-b559-4906-de55-a0383d73a0de"
      },
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<langgraph.graph.state.StateGraph at 0x79c9329ddc90>"
            ]
          },
          "metadata": {},
          "execution_count": 47
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "graph=graph_builder.compile()"
      ],
      "metadata": {
        "id": "b1xC4scgbfiY"
      },
      "execution_count": 48,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from IPython.display import Image, display\n",
        "\n",
        "try:\n",
        "    display(Image(graph.get_graph().draw_mermaid_png()))\n",
        "except Exception:\n",
        "    print(\"mermaid not installed\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 251
        },
        "id": "p3YM6NaObl8f",
        "outputId": "1cade705-36e3-4c50-cd22-529c65b44b5e"
      },
      "execution_count": 49,
      "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": [
        "while True:\n",
        "    user_input = input(\"User: \")\n",
        "    if user_input.lower() in [\"q\", \"Q\", \"quit\", \"Quit\"]:\n",
        "        break\n",
        "    for event in graph.stream({\"messages\": (\"user\", user_input)}):\n",
        "        print(event.values())\n",
        "        for value in event.values():\n",
        "            print(value[\"messages\"])  # Make sure this key exists\n",
        "            print(\"Assistant:\", value[\"messages\"].content)  # Corrected key name here\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lhO1xIz7b4QT",
        "outputId": "a99e1819-f40b-4631-8a1a-7a26178ed5e4"
      },
      "execution_count": 50,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "User: how are you?\n",
            "dict_values([{'messages': AIMessage(content=\"I'm just a computer program, so I don't have feelings or emotions. I'm here to help answer your questions to the best of my ability. Is there something specific you would like to know?\", additional_kwargs={}, response_metadata={'token_usage': {'completion_tokens': 45, 'prompt_tokens': 12, 'total_tokens': 57, 'completion_time': 0.07025205, 'prompt_time': 0.002173919, 'queue_time': 0.011404081, 'total_time': 0.072425969}, 'model_name': 'mixtral-8x7b-32768', 'system_fingerprint': 'fp_c5f20b5bb1', 'finish_reason': 'stop', 'logprobs': None}, id='run-3889e16e-4220-4ce7-9b2f-8c4bec2135a2-0', usage_metadata={'input_tokens': 12, 'output_tokens': 45, 'total_tokens': 57})}])\n",
            "content=\"I'm just a computer program, so I don't have feelings or emotions. I'm here to help answer your questions to the best of my ability. Is there something specific you would like to know?\" additional_kwargs={} response_metadata={'token_usage': {'completion_tokens': 45, 'prompt_tokens': 12, 'total_tokens': 57, 'completion_time': 0.07025205, 'prompt_time': 0.002173919, 'queue_time': 0.011404081, 'total_time': 0.072425969}, 'model_name': 'mixtral-8x7b-32768', 'system_fingerprint': 'fp_c5f20b5bb1', 'finish_reason': 'stop', 'logprobs': None} id='run-3889e16e-4220-4ce7-9b2f-8c4bec2135a2-0' usage_metadata={'input_tokens': 12, 'output_tokens': 45, 'total_tokens': 57}\n",
            "Assistant: I'm just a computer program, so I don't have feelings or emotions. I'm here to help answer your questions to the best of my ability. Is there something specific you would like to know?\n",
            "User: do you know who is imran khan?\n",
            "dict_values([{'messages': AIMessage(content=\"Yes, I can confirm that Imran Khan is a well-known public figure. He is a former Pakistani cricketer who led the national team to victory in the 1992 Cricket World Cup. After retiring from cricket, Imran Khan entered politics and founded the Pakistan Tehreek-e-Insaf (PTI) party in 1996.\\n\\nAfter many years of political campaigning, Imran Khan's party won the most seats in the 2018 Pakistani general election, and he was sworn in as the Prime Minister of Pakistan on August 18, 2018. Imran Khan has been a controversial figure, both in Pakistan and internationally, due to his political views and policies. However, there is no doubt that he is a significant figure in Pakistani politics and sports.\", additional_kwargs={}, response_metadata={'token_usage': {'completion_tokens': 183, 'prompt_tokens': 18, 'total_tokens': 201, 'completion_time': 0.292584004, 'prompt_time': 0.002153839, 'queue_time': 0.011309059, 'total_time': 0.294737843}, 'model_name': 'mixtral-8x7b-32768', 'system_fingerprint': 'fp_c5f20b5bb1', 'finish_reason': 'stop', 'logprobs': None}, id='run-305ef1f3-1d5c-42cc-ae77-db9653dbd163-0', usage_metadata={'input_tokens': 18, 'output_tokens': 183, 'total_tokens': 201})}])\n",
            "content=\"Yes, I can confirm that Imran Khan is a well-known public figure. He is a former Pakistani cricketer who led the national team to victory in the 1992 Cricket World Cup. After retiring from cricket, Imran Khan entered politics and founded the Pakistan Tehreek-e-Insaf (PTI) party in 1996.\\n\\nAfter many years of political campaigning, Imran Khan's party won the most seats in the 2018 Pakistani general election, and he was sworn in as the Prime Minister of Pakistan on August 18, 2018. Imran Khan has been a controversial figure, both in Pakistan and internationally, due to his political views and policies. However, there is no doubt that he is a significant figure in Pakistani politics and sports.\" additional_kwargs={} response_metadata={'token_usage': {'completion_tokens': 183, 'prompt_tokens': 18, 'total_tokens': 201, 'completion_time': 0.292584004, 'prompt_time': 0.002153839, 'queue_time': 0.011309059, 'total_time': 0.294737843}, 'model_name': 'mixtral-8x7b-32768', 'system_fingerprint': 'fp_c5f20b5bb1', 'finish_reason': 'stop', 'logprobs': None} id='run-305ef1f3-1d5c-42cc-ae77-db9653dbd163-0' usage_metadata={'input_tokens': 18, 'output_tokens': 183, 'total_tokens': 201}\n",
            "Assistant: Yes, I can confirm that Imran Khan is a well-known public figure. He is a former Pakistani cricketer who led the national team to victory in the 1992 Cricket World Cup. After retiring from cricket, Imran Khan entered politics and founded the Pakistan Tehreek-e-Insaf (PTI) party in 1996.\n",
            "\n",
            "After many years of political campaigning, Imran Khan's party won the most seats in the 2018 Pakistani general election, and he was sworn in as the Prime Minister of Pakistan on August 18, 2018. Imran Khan has been a controversial figure, both in Pakistan and internationally, due to his political views and policies. However, there is no doubt that he is a significant figure in Pakistani politics and sports.\n",
            "User: i am waris\n",
            "dict_values([{'messages': AIMessage(content=\"Hello Waris! It's nice to meet you. Is there something specific you would like to talk about or ask me? I'm here to help with any questions you might have to the best of my ability. Just let me know how I can assist you.\", additional_kwargs={}, response_metadata={'token_usage': {'completion_tokens': 56, 'prompt_tokens': 12, 'total_tokens': 68, 'completion_time': 0.087456581, 'prompt_time': 0.001934891, 'queue_time': 0.012730479000000001, 'total_time': 0.089391472}, 'model_name': 'mixtral-8x7b-32768', 'system_fingerprint': 'fp_c5f20b5bb1', 'finish_reason': 'stop', 'logprobs': None}, id='run-03f3a77d-0d5e-42a4-8710-f167eb1980bc-0', usage_metadata={'input_tokens': 12, 'output_tokens': 56, 'total_tokens': 68})}])\n",
            "content=\"Hello Waris! It's nice to meet you. Is there something specific you would like to talk about or ask me? I'm here to help with any questions you might have to the best of my ability. Just let me know how I can assist you.\" additional_kwargs={} response_metadata={'token_usage': {'completion_tokens': 56, 'prompt_tokens': 12, 'total_tokens': 68, 'completion_time': 0.087456581, 'prompt_time': 0.001934891, 'queue_time': 0.012730479000000001, 'total_time': 0.089391472}, 'model_name': 'mixtral-8x7b-32768', 'system_fingerprint': 'fp_c5f20b5bb1', 'finish_reason': 'stop', 'logprobs': None} id='run-03f3a77d-0d5e-42a4-8710-f167eb1980bc-0' usage_metadata={'input_tokens': 12, 'output_tokens': 56, 'total_tokens': 68}\n",
            "Assistant: Hello Waris! It's nice to meet you. Is there something specific you would like to talk about or ask me? I'm here to help with any questions you might have to the best of my ability. Just let me know how I can assist you.\n",
            "User: quit\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "VTKrDjbXdNmu"
      },
      "execution_count": null,
      "outputs": []
    }
  ]
}