wip: Twitter Plus

[Freytes]

Twitter Plus

Background

Twitter plus framework built with TypeScript that enables AI-driven social media interactions. The system handles automated posting, interactions, and specialized content generation while maintaining rate limits and natural behavior patterns.

Core Components

1. base.ts

• Core client functionality for Twitter interactions
• Handles authentication and session management
• Manages tweet caching and retrieval
• Implements rate limiting and request queuing
• Maintains user profile information

2. environment.ts

• Configuration schema definitions using Zod
• Handles environment variable validation
• Defines posting behavior configurations
• Sets up interaction limits
• Manages special interaction rules
• Template customization settings

3. index.ts

• Main entry point for the Twitter bot
• Initializes and manages different client components
• Handles configuration loading
• Coordinates between posting, searching, and interaction components
• Error handling and cleanup procedures

4. interactions.ts

• Manages bot interactions with other users
• Implements reply logic and conversation threading
• Handles rate limiting for interactions
• Processes special interaction cases
• Tracks interaction history

5. post.ts

• Handles automated tweet creation and posting
• Manages posting schedule
• Implements content generation rules
• Handles special post types
• Maintains posting history

6. search.ts

• Implements Twitter search functionality
• Processes search results
• Manages engagement with search results
• Handles conversation threading from search

7. template-enhanced-client.ts

• Enhanced Twitter client with template support
• Manages content generation using templates
• Handles different types of responses
• Implements content deduplication
• Manages context-aware responses

8. template-manager.ts

• Manages tweet templates and variations
• Handles hashtag and emoji insertion
• Implements style configurations
• Manages engagement rules
• Handles template selection based on context

9. templates.ts

• Defines base templates for different tweet types
• Provides specialized templates for various scenarios
• Implements template combination utilities
• Defines response templates
• Manages template selection logic

Key Features

• Rate limiting and request queuing
• Templated content generation
• Context-aware responses
• Special interaction handling
• Comprehensive configuration system
• Caching and optimization
• Error handling and recovery
• Natural behavior patterns

Testing Steps

1. Configure environment variables
2. Initialize the Twitter client
3. Test authentication
4. Verify rate limiting
5. Test content generation
6. Verify interaction handling
7. Check template processing
8. Test search functionality
9. Verify posting schedule
10. Check error handling

Documentation Changes Needed

• Update configuration documentation
• Add template creation guide
• Document new interaction patterns
• Update deployment instructions
• Add troubleshooting guide

Risks

• Rate limiting from Twitter API
• Content generation quality
• Authentication token management
• Database load from caching
• Memory usage from queue management

Socials

• Discord: @neodotneo
• Twitter: @filteredthought
• Github: @Freytes