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You can also check this cookbook in colab here ⭐ Star us on Github, join our Discord or follow our X Goal: Star a repository on GitHub with natural language & CAMEL Agent

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Install Packages & Connect a Tool

Integrate Composio with CAMEL agents to let them seamlessly interact with external apps Ensure you have the necessary packages installed and connect your GitHub account to allow your CAMEL-AI agents to utilize GitHub functionalities. 
%pip install "camel-ai[all]==0.1.6.5"
%pip install "composio-camel -U"

import composio


# Login to Composio
!composio login

# Connect your Github account (this is a shell command, so it should be run in your terminal or with '!' prefix in a Jupyter Notebook)
!composio add github

# Check all different apps which you can connect with
!composio apps

# Update Composio apps
! composio apps update

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Prepare your environment by initializing necessary imports from CAMEL & Composio.

from typing import List

from colorama import Fore
from composio_camel import Action, ComposioToolSet

from camel.agents.chat_agent import FunctionCallingRecord
from camel.configs import ChatGPTConfig
from camel.models import ModelFactory
from camel.societies import RolePlaying
from camel.types import ModelPlatformType, ModelType
from camel.utils import print_text_animated

import os
from getpass import getpass

# Prompt for the API key securely
openai_api_key = getpass('Enter your API key: ')
os.environ["OPENAI_API_KEY"] = openai_api_key
Alternatively, if running on Colab, you could save your API keys and tokens as Colab Secrets, and use them across notebooks. To do so, comment out the above manual API key prompt code block(s), and uncomment the following codeblock. ⚠️ Don’t forget granting access to the API key you would be using to the current notebook. 
# import os
# from google.colab import userdata

# os.environ["OPENAI_API_KEY"] = userdata.get("OPENAI_API_KEY")

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Let’s run CAMEL agents with tools from Composio!

# Set your task

task_prompt = (
    "I have created a new Github Repo,"
    "Please star my github repository: camel-ai/camel"
)

# Set Toolset

composio_toolset = ComposioToolSet()

tools = composio_toolset.get_actions(
    actions=[Action.GITHUB_STAR_A_REPOSITORY_FOR_THE_AUTHENTICATED_USER]
)

# Set models for user agent and assistant agent, give tool to the assistant

assistant_agent_model = ModelFactory.create(
    model_platform=ModelPlatformType.OPENAI,
    model_type=ModelType.GPT_3_5_TURBO,
    model_config_dict=ChatGPTConfig(tools=tools).as_dict(),
)

user_agent_model = ModelFactory.create(
    model_platform=ModelPlatformType.OPENAI,
    model_type=ModelType.GPT_3_5_TURBO,
    model_config_dict=ChatGPTConfig().as_dict(),
)

# Set RolePlaying session

role_play_session = RolePlaying(
    assistant_role_name="Developer",
    user_role_name="CAMEL User",
    assistant_agent_kwargs=dict(
        model=assistant_agent_model,
        tools=tools,
    ),
    user_agent_kwargs=dict(
        model=user_agent_model,
    ),
    task_prompt=task_prompt,
    with_task_specify=False,
)

# Print the system message and task prompt

print(
    Fore.GREEN
    + f"AI Assistant sys message:\n{role_play_session.assistant_sys_msg}\n"
)
print(Fore.BLUE + f"AI User sys message:\n{role_play_session.user_sys_msg}\n")

print(Fore.YELLOW + f"Original task prompt:\n{task_prompt}\n")
print(
    Fore.CYAN
    + "Specified task prompt:"
    + f"\n{role_play_session.specified_task_prompt}\n"
)
print(Fore.RED + f"Final task prompt:\n{role_play_session.task_prompt}\n")

# Set terminate rule and print the chat message

n = 0
input_msg = role_play_session.init_chat()
while n < 50:
    n += 1
    assistant_response, user_response = role_play_session.step(input_msg)

    if assistant_response.terminated:
        print(
            Fore.GREEN
            + (
                "AI Assistant terminated. Reason: "
                f"{assistant_response.info['termination_reasons']}."
            )
        )
        break
    if user_response.terminated:
        print(
            Fore.GREEN
            + (
                "AI User terminated. "
                f"Reason: {user_response.info['termination_reasons']}."
            )
        )
        break

    # Print output from the user
    print_text_animated(
        Fore.BLUE + f"AI User:\n\n{user_response.msg.content}\n"
    )

    # Print output from the assistant, including any function
    # execution information
    print_text_animated(Fore.GREEN + "AI Assistant:")
    tool_calls: List[FunctionCallingRecord] = assistant_response.info[
        'tool_calls'
    ]
    for func_record in tool_calls:
        print_text_animated(f"{func_record}")
    print_text_animated(f"{assistant_response.msg.content}\n")

    if "CAMEL_TASK_DONE" in user_response.msg.content:
        break

    input_msg = assistant_response.msg