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A Discord LLM chat bot that supports any OpenAI compatible API (OpenAI, Mistral, Groq, OpenRouter, ollama, oobabooga, Jan, LM Studio and more)

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jakobdylanc/llmcord.py

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llmcord.py

Talk to LLMs with your friends!

llmcord.py lets you (and your friends) chat with LLMs directly in Discord. It works with practically any LLM, remote or locally hosted.

Features

Reply-based chat system

Just @ the bot to start a conversation and reply to continue. Build conversations with reply chains!

You can do things like:

  • Continue your own conversation or someone else's
  • "Rewind" a conversation by simply replying to an older message
  • @ the bot while replying to any message in your server to ask a question about it

Additionally:

  • Back-to-back messages from the same user are automatically chained together. Just reply to the latest one and the bot will see all of them.
  • You can seamlessly move any conversation into a thread. Just create a thread from any message and @ the bot inside to continue.

Choose any LLM

llmcord.py supports remote models from:

Or run a local model with:

Or use any other OpenAI compatible API server.

And more:

  • Supports image attachments when using a vision model (like gpt-4o, claude-3, llava, etc.)
  • Supports text file attachments (.txt, .py, .c, etc.)
  • Customizable system prompt
  • DM for private access (no @ required)
  • User identity aware (OpenAI API only)
  • Streamed responses (turns green when complete, automatically splits into separate messages when too long)
  • Displays helpful warning messages when appropriate (like "⚠️ Only using last 25 messages" when the customizable message limit is exceeded)
  • Caches message data in a size-managed (no memory leaks) and mutex-protected (no race conditions) global dictionary to maximize efficiency and minimize Discord API calls
  • Fully asynchronous
  • 1 Python file, ~200 lines of code

Instructions

Before you start, install Python and clone this git repo.

  1. Install Python requirements: pip install -U discord.py openai

  2. Create a copy of "config-example.json" named "config.json" and set it up (see below)

  3. Run the bot: python llmcord.py (the invite URL will print to the console)

LLM settings:

Setting Description
providers Add the LLM providers you want to use, each with a base_url and optional api_key entry. Common providers (openai, ollama, etc.) are already included. Only supports OpenAI compatible APIs.
model Set to <provider name>/<model name>, e.g:

-openai/gpt-4o
-ollama/llama3.1
-openrouter/anthropic/claude-3.5-sonnet
extra_api_parameters Extra API parameters for your LLM. Add more entries as needed.
(Default: max_tokens=4096, temperature=1.0)
system_prompt Write anything you want to customize the bot's behavior!

Discord settings:

Setting Description
bot_token Create a new Discord bot at discord.com/developers/applications and generate a token under the "Bot" tab. Also enable "MESSAGE CONTENT INTENT".
client_id Found under the "OAuth2" tab of the Discord bot you just made.
status_message Set a custom message that displays on the bot's Discord profile. Max 128 characters.
allowed_channel_ids A list of Discord channel IDs where the bot can be used. Leave empty to allow all channels.
allowed_role_ids A list of Discord role IDs that can use the bot. Leave empty to allow everyone. Specifying at least one role also disables DMs.
max_text The maximum amount of text allowed in a single message, including text from file attachments.
(Default: 100,000)
max_images The maximum number of image attachments allowed in a single message. Only applicable when using a vision model.
(Default: 5)
max_messages The maximum number of messages allowed in a reply chain.
(Default: 25)
use_plain_responses When set to true the bot will use plaintext responses instead of embeds. Also, streamed responses and warning messages will be disabled.
(Default: false)

Notes

  • If you're having issues, try my suggestions here

  • Only models from OpenAI are "user identity aware" because only OpenAI API supports the message "name" property. Hopefully others support this in the future.

  • PRs are welcome :)

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