SuperCharged-Claude-Code-Upgrade/dexto/examples/discord-bot

Discord Bot Example

This is a reference implementation showing how to integrate DextoAgent with Discord using discord.js. It demonstrates:

• Connecting to Discord's WebSocket API
• Processing messages and commands
• Handling image attachments
• Managing per-user conversation sessions
• Integrating tool calls with Discord messages

⚠️ Important: This is a Reference Implementation

This example is provided to show how to build Discord integrations with Dexto. While it works, it's not a production-ready bot and may lack:

• Advanced error recovery and retry logic
• Comprehensive logging and monitoring
• Scalability features for large deployments
• Advanced permission management

Use this as a foundation to build your own customized Discord bot!

Quick Start

1. Get Your Discord Bot Token

1. Go to Discord Developer Portal
2. Click "New Application" and give it a name
3. In the sidebar, navigate to Bot → Click Add Bot
4. Under the TOKEN section, click Copy (or Reset Token if you need a new one)
5. Save this token - you'll need it in the next step

2. Set Up Your Environment Variables

Copy .env.example to .env:

cp .env.example .env

Edit .env and add:

1. Your Discord Bot Token (required):

   DISCORD_BOT_TOKEN=your_token_here
   

2. Your LLM API Key (required):

   For OpenAI (default):

   OPENAI_API_KEY=your_openai_api_key_here
   

   Or use a different provider and update agent-config.yml:

   # ANTHROPIC_API_KEY=your_key_here
   # GOOGLE_GENERATIVE_AI_API_KEY=your_key_here
   

Get API Keys:

• OpenAI: https://platform.openai.com/account/api-keys
• Anthropic: https://console.anthropic.com/account/keys
• Google: https://ai.google.dev

3. Invite Bot to Your Server

1. In Developer Portal, go to OAuth2 → URL Generator
2. Select scopes: bot
3. Select permissions: Send Messages, Read Messages, Read Message History, Attach Files
4. Copy the generated URL and visit it to invite your bot to your server

4. Install Dependencies

Install the required dependencies:

pnpm install

5. Run the Bot

Start the bot:

pnpm start

You should see:

🚀 Initializing Discord bot...
Discord bot logged in as YourBotName#1234
✅ Discord bot is running!

Usage

In DMs

Simply send a message to the bot - it will respond using the configured LLM.

In Server Channels

Use the !ask prefix:

!ask What is the capital of France?

The bot will respond with the agent's response, splitting long messages to respect Discord's 2000-character limit.

Image Support

Send an image attachment with or without text, and the bot will process it using the agent's vision capabilities.

Audio Support

Send audio files (MP3, WAV, OGG, etc.), and the bot will:

• Transcribe the audio (if model supports speech recognition)
• Analyze the audio content
• Use audio as context for responses

Simply attach an audio file to your message and the bot will process it using the agent's multimodal capabilities.

Reset Conversation

To start a fresh conversation session, DM the bot with:

/reset

Configuration

Switching LLM Providers

The bot comes configured with OpenAI by default. To use a different provider:

1. Update agent-config.yml - Change the llm section:

   # For Anthropic Claude:
   llm:
     provider: anthropic
     model: claude-sonnet-4-5-20250929
     apiKey: $ANTHROPIC_API_KEY
   
   # For Google Gemini:
   llm:
     provider: google
     model: gemini-2.0-flash
     apiKey: $GOOGLE_GENERATIVE_AI_API_KEY
   

2. Set the API key in .env:

   ANTHROPIC_API_KEY=your_key_here
   # or
   GOOGLE_GENERATIVE_AI_API_KEY=your_key_here
   

Environment Variables

Create a .env file with:

• DISCORD_BOT_TOKEN (Required): Your bot's authentication token
• OPENAI_API_KEY (Required for OpenAI): Your OpenAI API key
• ANTHROPIC_API_KEY (Optional): For using Claude models
• GOOGLE_GENERATIVE_AI_API_KEY (Optional): For using Gemini models
• DISCORD_RATE_LIMIT_ENABLED (Optional): Enable/disable rate limiting (default: true)
• DISCORD_RATE_LIMIT_SECONDS (Optional): Cooldown between messages per user (default: 5)

Features

Rate Limiting

By default, the bot enforces a 5-second cooldown per user to prevent spam. Adjust or disable via environment variables.

Tool Notifications

When the LLM calls a tool (e.g., making an API call), the bot sends a notification message so users can see what's happening:

🔧 Calling tool get_weather with args: {...}

Session Management

Each Discord user gets their own persistent conversation session during the bot's lifetime. Messages from different users don't interfere with each other.

Large Responses

Responses longer than Discord's 2000-character limit are automatically split into multiple messages.

Limitations

• No persistence across restarts: Sessions are lost when the bot restarts. For persistent sessions, implement a database layer.
• Simple message handling: Only responds to text and images. Doesn't support all Discord features like reactions, threads, etc.
• Per-deployment limits: The bot runs as a single instance. For horizontal scaling, implement clustering.

Architecture

Discord Message
    ↓
startDiscordBot() wires up event handlers
    ↓
agent.generate() processes the message
    ↓
Response sent back to Discord
    ↓
agentEventBus emits events (tool calls, etc.)
    ↓
Tool notifications sent to channel

Troubleshooting

Bot doesn't respond to messages

• Check that the bot has permission to send messages in the channel
• Ensure DISCORD_BOT_TOKEN is correct in .env
• Verify bot has Message Content Intent enabled in Developer Portal

"DISCORD_BOT_TOKEN is not set"

• Check that .env file exists in the example directory
• Verify the token is correctly copied from Developer Portal

Rate limiting errors

• Check DISCORD_RATE_LIMIT_SECONDS setting
• Set DISCORD_RATE_LIMIT_ENABLED=false to disable rate limiting

Image processing fails

• Ensure attachments are under 5MB
• Check network connectivity for downloading attachments

Next Steps

To customize this bot:

1. Modify agent-config.yml:

   • Change the LLM provider/model
   • Add MCP servers for additional capabilities
   • Customize the system prompt

2. Extend bot.ts:

   • Add new command handlers
   • Implement additional Discord features
   • Add logging/monitoring

3. Deploy:

   • Run on a server/VPS that stays online 24/7
   • Use process managers like PM2 to auto-restart on crashes
   • Consider hosting on platforms like Railway, Heroku, or AWS

Documentation

• Discord.js Documentation
• Discord Developer Portal
• Dexto Documentation
• Dexto Agent API

License

MIT