📖 Using Composio With PraisonAI

Composio enables your PraisonAI agents to connect with many tools!

Goal: Star a repository on GitHub with natural language & PraisonAI Agent

Install Packages & Connect a Tool

These commands prepare your environment for seamless interaction between PraisonAI and GitHub.

pip install PraisonAI -q
pip install composio-praisonai
# login to composio
composio login
# Connect your GitHub using command below, so agents can use it. 
composio add github
# Check all different apps which you can connect with
composio apps

Goal: Use PraisonAI Agent to Interact with Github using Composio

Import Base Packages

Prepare your environment by initializing necessary imports from PraisonAI and setting up your client.

import os
import yaml
from praisonai import PraisonAI

from composio_praisonai import Action, ComposioToolSet

Write the Praison-supported Composio Tools in `tools.py` file.

This step involves fetching and integrating GitHub tools provided by Composio, and writing them in PraisonAI supported Format, returning the name of tools in a format, that should be added to agents.yml file.

composio_toolset = ComposioToolSet()
tools = composio_toolset.get_tools(
    actions=[Action.GITHUB_ACTIVITY_STAR_REPO_FOR_AUTHENTICATED_USER]
)
tool_section_str = composio_toolset.get_tools_section(tools)
print(tool_section_str)

Define the `agents.yml` either in a separate file, or in your script.

This step involves configuring and executing the agent to carry out actions, such as starring a GitHub repository.

agent_yaml = """
framework: "crewai"
topic: "Github Management"

roles:
  developer:
    role: "Developer"
    goal: "An expert programmer"
    backstory: "A developer exploring new codebases and having certain tools available to execute different tasks."
    tasks:
      star_github:
        description: "Star a repo composiohq/composio on GitHub"
        expected_output: "Response whether the task was executed."
""" + tool_section_str

print(agent_yaml)

Run the PraisonAI Agents to execute the goal/task.

Here you initialize PraisonAI class, and execute.

# Create a PraisonAI instance with the agent_yaml content
praison_ai = PraisonAI(agent_yaml=agent_yaml)

# Run PraisonAI
result = praison_ai.main()

# Print the result
print(result)

Introduction

Tools

Authentication

Triggers & Webhooks

Supported Frameworks

Kits

Others

📖 Using Composio With PraisonAI

Install Packages & Connect a Tool

Goal: Use PraisonAI Agent to Interact with Github using Composio

​Install Packages & Connect a Tool

​Goal: Use PraisonAI Agent to Interact with Github using Composio

Install Packages & Connect a Tool

Goal: Use PraisonAI Agent to Interact with Github using Composio