X (Twitter)

XTools allows an Agent to interact with X, providing functionality for posting, messaging, and searching tweets.

Prerequisites

Install the required library:

uv pip install tweepy openai

Tweepy is a Python library for interacting with the X API.

Setup

Create X Developer Account
- Visit developer.x.com and apply for developer access
- Create a new project and app in your developer portal
Generate API Credentials
- Navigate to your app’s “Keys and tokens” section
- Generate and copy these credentials:
  - API Key & Secret
  - Bearer Token
  - Access Token & Secret

Configure Environment

export X_CONSUMER_KEY=your_api_key
export X_CONSUMER_SECRET=your_api_secret
export X_ACCESS_TOKEN=your_access_token
export X_ACCESS_TOKEN_SECRET=your_access_token_secret
export X_BEARER_TOKEN=your_bearer_token

Example

cookbook/91_tools/x_tools.py

from agno.agent import Agent
from agno.tools.x import XTools

# Initialize the X toolkit
x_tools = XTools()

# Create an agent with the X toolkit
agent = Agent(
    instructions=[
        "Use your tools to interact with X (Twitter) as the authorized user @AgnoAgi",
        "When asked to create a post, generate appropriate content based on the request",
        "Do not actually post content unless explicitly instructed to do so",
        "Provide informative responses about the user's timeline and posts",
        "Respect X's usage policies and rate limits",
    ],
    tools=[x_tools],
)

# Get your home timeline
agent.print_response(
    "Can you return my x profile with my home timeline?", markdown=True
)

# Get information about a user
agent.print_response(
    "Can you retrieve information about this user https://x.com/AgnoAgi ",
    markdown=True,
)

# Reply to a post
agent.print_response(
    "Can you reply to this [post ID] post as a general message as to how great this project is: https://x.com/AgnoAgi",
    markdown=True,
)

# Send a direct message
agent.print_response(
    "Send direct message to the user @AgnoAgi telling them I want to learn more about them and a link to their community.",
    markdown=True,
)

# Create a new post
agent.print_response(
    "Create & post content about how 2025 is the year of the AI agent", markdown=True
)

Check out the Tweet Analysis Agent for a more advanced example.

Toolkit Params

Parameter	Type	Default	Description
`bearer_token`	`str`	`None`	Bearer token for authentication
`consumer_key`	`str`	`None`	Consumer key for authentication
`consumer_secret`	`str`	`None`	Consumer secret for authentication
`access_token`	`str`	`None`	Access token for authentication
`access_token_secret`	`str`	`None`	Access token secret for authentication
`include_post_metrics`	`bool`	`False`	Include post metrics (likes, retweets, etc.) in search results
`wait_on_rate_limit`	`bool`	`False`	Retry when rate limits are reached

Toolkit Functions

Function	Description
`create_post`	Creates and posts a new post
`reply_to_post`	Replies to an existing post
`send_dm`	Sends a direct message to a X user
`get_user_info`	Retrieves information about a X user
`get_home_timeline`	Gets the authenticated user’s home timeline
`search_posts`	Searches for tweets

You can use include_tools or exclude_tools to modify the list of tools the agent has access to. Learn more about selecting tools.

Developer Resources

Tools

​Prerequisites

​Setup

​Example

​Toolkit Params

​Toolkit Functions

​Developer Resources

Prerequisites

Setup

Example

Toolkit Params

Toolkit Functions

Developer Resources