Open Source Ecosystems

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

Features

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.

llmcord.py supports remote models from:

Or run a local model with:

Or use any other OpenAI compatible API server.

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

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

Install Python requirements: pip install -U discord.py openai
Create a copy of "config-example.json" named "config.json" and set it up (see below)
Run the bot: python llmcord.py (the invite URL will print to the console)

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/llama3.2`-`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! Leave blank for no system prompt.

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`)

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 :)