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Twitter(X) User Connector Setup Guide

This guide provides step-by-step instructions for creating and configuring a Twitter(X) connector with Abacus.AI's ChatLLM platform.

Use Twitter(X) directly in chat — no Custom Chatbot required

Once Twitter(X) is connected from Profile → User Connectors, it works straight away in ChatLLM Teams chats with RouteLLM selected, and with the Abacus AI Agent.

  1. In ChatLLM Teams, click Connectors on the home page (or go to Profile → User Connectors) and connect Twitter(X).
  2. Open a new chat and select RouteLLM (route-llm) from the model selector.
  3. Ask a question about your Twitter(X) data — for example "Show me my latest posts on X". The first time you query it you may be asked to authorize the connector; complete the sign-in once and the request continues automatically.

The Custom Chatbot steps below are only needed when you want a purpose-built bot with its own instructions and a restricted set of tools. See the User Connectors guide for the full walkthrough.

Prerequisites​

Before starting, ensure you have access to:

  • Abacus.AI platform
  • A valid Twitter(X) account
  • Administrative access to create connectors and projects

Step-by-Step Instructions​

1. Navigate to Projects Page​

Navigate to the projects page by clicking on the ABACUS.AI logo.

2. Create New Project​

Click on "Create a new project" to begin setting up your ChatLLM project.

3. Select Project Type​

Choose GenAI --> Custom Chatbot option from the available project types.

4. Configure Project Name​

Enter a descriptive name for your project that reflects its purpose.

5. Skip to Dashboard​

Select "Skip to project dashboard" to proceed directly to the project configuration.

6. Access Model Training​

  1. Click on the Model option in the left toolbar
  2. Select "Train Model" in the top right corner of the page

7. Configure Advanced Options​

Navigate through the following menu structure:

  • Select Advanced Option
  • Choose Tool Use
  • Select Twitter_tool

8. Initiate Model Training​

Click on "Train Model" to begin the training process.

9. Access Trained Model​

Once training is complete:

  1. Click on Models in the navigation
  2. Select your newly trained model

10. Create Deployment​

Click on "Create a new deployment" to make your model available for use.

11. Configure Deployment Type​

  1. Select "Offline Batch + Realtime" deployment option
  2. Click "Next" to proceed

12. Name Your Deployment​

Enter a user-friendly name that your end users will see, then click "Deploy".

13. Monitor Deployment Status​

  1. Return to your model by clicking Models → [Your Model Name]
  2. Wait for the deployment status to show as "Active"
  3. Click on the deployment name once active

14. Access Prediction Dashboard​

Click on the "Prediction Dash" option under the Deployment section.

15. Test Your Bot​

Click on "Go to Abacus.AI Chat" to access the testing interface.

16. Start Using the Chatbot​

  • Enter your questions or prompts in the chat interface
  • Note: Each user will be prompted to log in to Twitter(X) once for authentication

Important Notes​

  • Authentication: Users will need to authenticate with Twitter(X) on their first interaction
  • Permissions: Ensure proper Twitter(X) permissions are configured
  • Testing: Thoroughly test the connector with various Twitter(X) operations before deploying to end users

Troubleshooting​

If you encounter issues:

  1. Check deployment status is "Active"
  2. Ensure proper authentication credentials
  3. Review Twitter(X) permissions and access rights