{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ymsq1Lw0VEqT"
      },
      "source": [
        "# Agents with Human-in-loop and Tool Approval from HumanLayer"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7V3aV16AmY0K"
      },
      "source": [
        "You can also check this cookbook in colab [here](https://colab.research.google.com/drive/1WF1Z6Ev6kTrifRLXXTTOZz6-QVRuj1uX?usp=sharing)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "OkOJ--aQqJQK"
      },
      "source": [
        "<div class=\"align-center\">\n",
        "  <a href=\"https://www.camel-ai.org/\"><img src=\"https://i.postimg.cc/KzQ5rfBC/button.png\"width=\"150\"></a>\n",
        "  <a href=\"https://discord.camel-ai.org\"><img src=\"https://i.postimg.cc/L4wPdG9N/join-2.png\"  width=\"150\"></a></a>\n",
        "  \n",
        "⭐ <i>Star us on [*Github*](https://github.com/camel-ai/camel), join our [*Discord*](https://discord.camel-ai.org) or follow our [*X*](https://x.com/camelaiorg)\n",
        "</div>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "G5gE04UuPUWj"
      },
      "source": [
        "This notebook demonstrates how to set up and leverage CAMEL's ability to interact with user (for approval or comments) during the execution of the tasks.\n",
        "\n",
        "In this notebook, you'll explore:\n",
        "\n",
        "*   **CAMEL**: A powerful multi-agent framework that enables Retrieval-Augmented Generation and multi-agent role-playing scenarios, allowing for sophisticated AI-driven tasks.\n",
        "*   **HumanLayer**: HumanLayer is an API and SDK that enables AI Agents to contact humans for feedback, input, and approvals.\n",
        "*   **Human-in-loop**: The ability for agent to consult human during the execution of the task.\n",
        "*   **Human approval**: The ability for agent ask approval to execute some tasks.\n",
        "\n",
        "This cookbook demonstrates how to use **HumanLayer** functionality within CAMEL framework."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "0J0_iW-YVcq2"
      },
      "source": [
        "## 📦 Installation"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7p-JjpyNVcCT"
      },
      "source": [
        "First, install the CAMEL package with all its dependencies:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "0GXs2pruU9Vl"
      },
      "outputs": [],
      "source": [
        "!pip install \"camel-ai[all]==0.2.16\""
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rnlxVTLs4spt"
      },
      "source": [
        "Next, install humanlayer python SDK:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "uEijqcLt4v1b"
      },
      "outputs": [],
      "source": [
        "!pip install humanlayer"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "lfNvFbhD6o8B"
      },
      "source": [
        "## 🔑 Setting Up API Keys"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "mf9iO_Haua-7"
      },
      "source": [
        "Your can go to [here](https://openai.com/index/openai-api/) to get API Key from OpenAI."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZhauVXPOua-8",
        "outputId": "f371a5dd-d8f9-4972-e666-b87cfc58453e"
      },
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Enter your API key: ··········\n"
          ]
        }
      ],
      "source": [
        "# Prompt for the API key securely\n",
        "import os\n",
        "from getpass import getpass\n",
        "\n",
        "openai_api_key = getpass('Enter your API key: ')\n",
        "os.environ[\"OPENAI_API_KEY\"] = openai_api_key"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "rdMup8dLuEJH"
      },
      "source": [
        "Your can go to [here](https://app.humanlayer.dev/auth) to get API Key from HumanLayer."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "qk-JofPGufux"
      },
      "outputs": [],
      "source": [
        "humanlayer_api_key = getpass('Enter your HumanLayer API key: ')\n",
        "os.environ[\"HUMANLAYER_API_KEY\"] = humanlayer_api_key"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "NEUciNquON9_"
      },
      "source": [
        "## 👨 Tools that requires human approval"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "6f64VOMMP93d"
      },
      "source": [
        "In this section, we'll demonstrate how to define tools for Camel agent to use, and use **HumanLayer** to make some tools require human approval. First define two functions for agent to use, one of them requires human approval."
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 4,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "m14JurOf6mQr",
        "outputId": "3b853e66-6a3f-495e-ab99-f95b135476c2"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.11/dist-packages/pydantic/main.py:214: UserWarning: A custom validator is returning a value other than `self`.\n",
            "Returning anything other than `self` from a top level model validator isn't supported when validating via `__init__`.\n",
            "See the `model_validator` docs (https://docs.pydantic.dev/latest/concepts/validators/#model-validators) for more details.\n",
            "  warnings.warn(\n"
          ]
        }
      ],
      "source": [
        "from humanlayer.core.approval import HumanLayer\n",
        "hl = HumanLayer(api_key=humanlayer_api_key, verbose=True)\n",
        "\n",
        "\n",
        "# add can be called without approval\n",
        "def add(x: int, y: int) -> int:\n",
        "    \"\"\"Add two numbers together.\"\"\"\n",
        "    return x + y\n",
        "\n",
        "\n",
        "# but multiply must be approved by a human\n",
        "@hl.require_approval()\n",
        "def multiply(x: int, y: int) -> int:\n",
        "    \"\"\"multiply two numbers\"\"\"\n",
        "    return x * y"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "iTWKZwKp7UjO"
      },
      "source": [
        "Next we define the CAMEL agents, then run the computation commands. Here we will need to login HumanLayer cloud platform to approve for the agent to use the multiply function."
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "5KsiJlRisi4g"
      },
      "source": [
        "![Screenshot 2025-01-17 at 17.57.48.png](data:image/png;base64,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)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 6,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "3cW3hj3e7Y-1",
        "outputId": "167038a2-65c1-403e-f511-b576ebba6ba7"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "WARNING:camel.agents.chat_agent:Overriding the configured tools in `BaseModelBackend` with the tools from `ChatAgent`.\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "HumanLayer: waiting for approval for multiply via humanlayer cloud\n",
            "HumanLayer: human approved multiply\n",
            "\n",
            "\n",
            "----------Result----------\n",
            "\n",
            "\n",
            "The result of multiplying 2 and 5, then adding 32 to the result, is 42.\n"
          ]
        }
      ],
      "source": [
        "from camel.toolkits import FunctionTool\n",
        "from camel.agents import ChatAgent\n",
        "from camel.models import ModelFactory\n",
        "from camel.types import ModelPlatformType, ModelType\n",
        "\n",
        "model = ModelFactory.create(\n",
        "    model_platform=ModelPlatformType.OPENAI,\n",
        "    model_type=ModelType.GPT_4O,\n",
        ")\n",
        "\n",
        "tools = [FunctionTool(add), FunctionTool(multiply)]\n",
        "\n",
        "agent_with_tools = ChatAgent(\n",
        "    model = model,\n",
        "    tools=tools\n",
        ")\n",
        "\n",
        "# Interact with the agent\n",
        "response = agent_with_tools.step(\"multiply 2 and 5, then add 32 to the result\")\n",
        "print(\"\\n\\n----------Result----------\\n\\n\")\n",
        "print(response.msgs[0].content)\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Sx706ii3-PN2"
      },
      "source": [
        "## 🤖 Human-in-loop interaction"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "d1qi4mdb-d6P"
      },
      "source": [
        "Sometimes we want the agent to ask user during the working process, in this case, we can equip agent with human toolkits, and be able to ask human via console. This example demonstrates the human-in-loop function:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 10,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xyujYUzN_M8Y",
        "outputId": "bbec9944-ecd9-42ee-d26e-27920a24b823"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "WARNING:camel.agents.chat_agent:Overriding the configured tools in `BaseModelBackend` with the tools from `ChatAgent`.\n"
          ]
        },
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "Question: What is the capital of France?\n",
            "Your reply: Paris\n",
            "Correct! The capital of France is indeed Paris. It's a beautiful city known for its art, fashion, and culture. Well done!\n"
          ]
        }
      ],
      "source": [
        "from camel.toolkits import HumanToolkit\n",
        "human_toolkit = HumanToolkit()\n",
        "\n",
        "agent = ChatAgent(\n",
        "    system_message=\"You are a helpful assistant.\",\n",
        "    model=model,\n",
        "    tools=[*human_toolkit.get_tools()],\n",
        ")\n",
        "\n",
        "response = agent.step(\n",
        "    \"Test me on the capital of some country, and comment on my answer.\"\n",
        ")\n",
        "\n",
        "print(response.msgs[0].content)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "flYNal6-R4yR"
      },
      "source": [
        "## 🌟 Highlights"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SmkXhy4JR726"
      },
      "source": [
        "This notebook has guided you through setting up chat agents with the ability of **Human-in-loop** and **Human approval**.\n",
        "\n",
        "Key tools utilized in this notebook include:\n",
        "\n",
        "*   **CAMEL**: A powerful multi-agent framework that enables Retrieval-Augmented Generation and multi-agent role-playing scenarios, allowing for sophisticated AI-driven tasks.\n",
        "*   **HumanLayer**: HumanLayer is an API and SDK that enables AI Agents to contact humans for feedback, input, and approvals.\n",
        "*   **Human-in-loop**: The ability for agent to consult human during the execution of the task.\n",
        "*   **Human approval**: The ability for agent ask approval to execute some tasks.\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "7EZd8sutqorD"
      },
      "source": [
        "That's everything: Got questions about 🐫 CAMEL-AI? Join us on [Discord](https://discord.camel-ai.org)! Whether you want to share feedback, explore the latest in multi-agent systems, get support, or connect with others on exciting projects, we’d love to have you in the community! 🤝\n",
        "\n",
        "Check out some of our other work:\n",
        "\n",
        "1. 🐫 Creating Your First CAMEL Agent [free Colab](https://docs.camel-ai.org/cookbooks/create_your_first_agent.html)\n",
        "\n",
        "2.  Graph RAG Cookbook [free Colab](https://colab.research.google.com/drive/1uZKQSuu0qW6ukkuSv9TukLB9bVaS1H0U?usp=sharing)\n",
        "\n",
        "3. 🧑‍⚖️ Create A Hackathon Judge Committee with Workforce [free Colab](https://colab.research.google.com/drive/18ajYUMfwDx3WyrjHow3EvUMpKQDcrLtr?usp=sharing)\n",
        "\n",
        "4. 🔥 3 ways to ingest data from websites with Firecrawl & CAMEL [free Colab](https://colab.research.google.com/drive/1lOmM3VmgR1hLwDKdeLGFve_75RFW0R9I?usp=sharing)\n",
        "\n",
        "5. 🦥 Agentic SFT Data Generation with CAMEL and Mistral Models, Fine-Tuned with Unsloth [free Colab](https://colab.research.google.com/drive/1lYgArBw7ARVPSpdwgKLYnp_NEXiNDOd-?usp=sharingg)\n",
        "\n",
        "Thanks from everyone at 🐫 CAMEL-AI\n",
        "\n",
        "\n",
        "<div class=\"align-center\">\n",
        "  <a href=\"https://www.camel-ai.org/\"><img src=\"https://i.postimg.cc/KzQ5rfBC/button.png\"width=\"150\"></a>\n",
        "  <a href=\"https://discord.camel-ai.org\"><img src=\"https://i.postimg.cc/L4wPdG9N/join-2.png\"  width=\"150\"></a></a>\n",
        "  \n",
        "⭐ <i>Star us on [*Github*](https://github.com/camel-ai/camel), join our [*Discord*](https://discord.camel-ai.org) or follow our [*X*](https://x.com/camelaiorg)\n",
        "</div>"
      ]
    }
  ],
  "metadata": {
    "colab": {
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
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  "nbformat_minor": 0
}