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📋 Table of contents

• 📋 Table of contents
• 🤔 Why Composio?
• 🔥 Key Features
• 🚀 Getting Started with Python
  • 1. Installation
  • 2. Testing Composio in Action
• 🚀 Getting Started with Javascript
  • 1. Install the Composio SDK:
  • 2. Setup the OpenAI and Composio Tool Set:
  • 3. Run your script:
• 💡 Examples
  • Python Examples
  • Javascript Examples
• Star History
• 📋 Read Our Code Of Conduct
• 🤗 Contributions
• 🔗 Links
• 🛡️ License
• 💪 Thanks To All Contributors

🤔 Why Composio?

We believe AI Based Agents/Workflows are the future. Composio is the best toolset to integrate AI Agents to best Agentic Tools and use them to accomplish tasks.

🔥 Key Features

• 100+ Tools: Support for a range of different categories

  • Software: Do anything on GitHub, Notion, Linear, Gmail, Slack, Hubspot, Salesforce, & 90 more.
  • OS: Click anywhere, Type anything, Copy to Clipboard, & more.
  • Browser: Smart Search, Take a screenshot, MultiOn, Download, Upload, & more.
  • Search: Google Search, Perplexity Search, Tavily, Exa & more.
  • SWE: Ngrok, Database, Redis, Vercel, Git, etc.
  • RAG: Agentic RAG for any type of data on the fly!

• Frameworks: Use tools with agent frameworks like OpenAI, Groq (OpenAI compatible), Claude, LlamaIndex, Langchain, CrewAI, Autogen, Gemini, Julep, Lyzr, and more in a single line of code.

• Managed Authorisation: Supports six different auth protocols. Access Token, Refresh token, OAuth, API Keys, JWT, and more abstracted out so you can focus on the building agents.

• Accuracy: Get up to 40% better agentic accuracy in your tool calls due to better tool designs.

• Embeddable: Whitelabel in the backend of your applications managing Auth & Integrations for all your users & agents and maintain a consistent experience.

• Pluggable: Designed to be extended with additional Tools, Frameworks and Authorisation Protocols very easily.

🚀 Getting Started with Python

1. Installation

To get started, type the following command in your Terminal.

pip install composio-core

If you want to install the 'composio' package along with its openai plugin: pip install composio-openai.

2. Testing Composio in Action

Let's use Composio to create an AI Agent that can star a Github Repo.

composio add github # Connect your Github - Run this in terminal

from openai import OpenAI
from composio_openai import ComposioToolSet, App, Action

openai_client = OpenAI(
    api_key="{{OPENAIKEY}}"
)

# Initialise the Composio Tool Set

composio_tool_set = ComposioToolSet()

# Get GitHub tools that are pre-configured
actions = composio_tool_set.get_actions(
    actions=[Action.GITHUB_STAR_A_REPOSITORY_FOR_THE_AUTHENTICATED_USER]
)

my_task = "Star a repo composiodev/composio on GitHub"

# Setup openai assistant
assistant_instruction = "You are a super intelligent personal assistant"

assistant = openai_client.beta.assistants.create(
    name="Personal Assistant",
    instructions=assistant_instruction,
    model="gpt-4-turbo",
    tools=actions,
)

# create a thread
thread = openai_client.beta.threads.create()

message = openai_client.beta.threads.messages.create(
    thread_id=thread.id,
    role="user",
    content=my_task
)

# Execute Agent with integrations
run = openai_client.beta.threads.runs.create(
    thread_id=thread.id,
    assistant_id=assistant.id
)


# Execute Function calls
response_after_tool_calls = composio_tool_set.wait_and_handle_assistant_tool_calls(
    client=openai_client,
    run=run,
    thread=thread,
)

print(response_after_tool_calls)

🚀 Getting Started with Javascript

To get started with the Composio SDK in Javascript, follow these steps:

1. Install the Composio SDK:

npm install composio-core

2. Setup the OpenAI and Composio Tool Set:

import { OpenAI } from "openai";
import { OpenAIToolSet } from "composio-core";

const toolset = new OpenAIToolSet({
    apiKey: process.env.COMPOSIO_API_KEY,
});

async function setupUserConnectionIfNotExists(entityId) {
    const entity = await toolset.client.getEntity(entityId);
    const connection = await entity.getConnection('github');

    if (!connection) {
        // If this entity/user hasn't already connected the account
        const connection = await entity.initiateConnection(appName);
        console.log("Log in via: ", connection.redirectUrl);
        return connection.waitUntilActive(60);
    }

    return connection;
}

async function executeAgent(entityName) {
    const entity = await toolset.client.getEntity(entityName)
    await setupUserConnectionIfNotExists(entity.id);

    const tools = await toolset.get_actions({ actions: ["github_issues_create"] }, entity.id);
    const instruction = "Make an issue with sample title in the repo - himanshu-dixit/custom-repo-breaking"

    const client = new OpenAI({ apiKey: process.env.OPEN_AI_API_KEY })
    const response = await client.chat.completions.create({
        model: "gpt-4-turbo",
        messages: [{
            role: "user",
            content: instruction,
        }],
        tools: tools,
        tool_choice: "auto",
    })

    console.log(response.choices[0].message.tool_calls);
    await toolset.handle_tool_call(response, entity.id);
}

executeAgent("your-entity-name");

3. Run your script:

node your_script.js

This will set up the Composio SDK and execute an agent that creates a GitHub issue using the provided instructions.

For more details, refer to the Composio SDK Documentation.

💡 Examples

Python Examples

Javascript Examples

Star History

📋 Read Our Code Of Conduct

As part of our open-source community, we hold ourselves and other contributors to a high standard of communication. As a participant and contributor to this project, you agree to abide by our Code of Conduct.

🤗 Contributions

Composio is open-source and we welcome contributions. Please fork the repository, create a new branch for your feature, add your feature or improvement, and send a pull request.

Also go through our Contribution Guidelines and Code of Conduct before you start.

🔗 Links

• Home page
• Contribution Guidelines
• Docs

🛡️ License

Composio is licensed under the Elastic License - see the LICENSE file for details.

💪 Thanks To All Contributors