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Feat: Ideas for docs based on top FAQ from discord

Open madjin opened this issue 2 months ago • 4 comments

From the discord chat logs I was able to extract these using https://github.com/ai16z/discord-summarizer as the most frequently asked questions. We should double check to see if documentation is sufficient on them, and if not, improve. Willing to throw a bounty on this.

These categories represent the most common themes and recurring questions in the chat logs. The setup/installation issues and Twitter integration questions seem to be particularly frequent, suggesting these might be areas where additional documentation or tooling could be helpful.

Setup & Installation Issues:

  • How to properly set up the .env file and handle environment variables?
  • What Node.js version should be used? (Many issues with version compatibility)
  • How to resolve pnpm build/install errors?
  • How to properly set up Twitter/Discord/Telegram integration?

Agent Configuration & Behavior:

  • How to configure the bot to respond/not respond to certain interactions?
  • How to control tweet frequency and intervals?
  • How to manage agent memory and database issues?
  • How to implement custom actions and plugins?

API & Models:

  • Which AI models are recommended (Claude, GPT-4, Llama, etc.)?
  • How to handle API keys and rate limits?
  • How to switch between different model providers?
  • What are the costs associated with running different models?

Twitter Integration:

  • How to handle Twitter cookies and authentication?
  • How to manage multiple Twitter accounts?
  • How to control bot posting behavior and intervals?
  • How to fix issues with tweet generation and responses?

Development & Contributing:

  • How to implement new features or plugins?
  • Where to find documentation and resources?
  • How to handle database issues (SQLite vs PostgreSQL)?
  • Best practices for code contribution and PR process?

Character/Agent Creation:

  • How to create and customize character files?
  • How to implement knowledge bases and training data?
  • How to fine-tune models for specific use cases?
  • How to manage character memory and context?

Infrastructure:

  • How to host agents (AWS, VPS, etc.)?
  • How to handle deployment issues?
  • How to manage Docker configurations?
  • How to scale and optimize performance?

madjin avatar Dec 13 '24 18:12 madjin