This repository is a fork of the original badlogic/pi-telegram. It started from upstream commit cb34008460b6c1ca036d92322f69d87f626be0fc and has since diverged substantially.

Start Here

What Changed In This Fork

Compared to upstream commit cb34008, this fork significantly extends and hardens the extension.

Better Telegram control UI, including an improved /status view with inline buttons for model and thinking selection
Interactive model selection improvements, including scoped model lists, thinking-level control for reasoning-capable models, and in-flight restart on a newly selected model for active Telegram-owned runs
Queueing and interaction upgrades, including queue previews, reaction-based prioritization/removal, media-group handling, high-priority control actions, and safer dispatch behavior
Markdown and reply rendering improvements, with richer formatting support, narrow-client-friendly table/list rendering, quote compatibility fixes, and multiple fixes for incorrect Telegram rendering and chunking edge cases
Streaming, attachment, and delivery workflow hardening, including more robust preview updates and file handling
General runtime polish, bug fixes, and refactors across pairing, command handling, and Telegram session behavior
Cleaner internal domain layout, with flat /lib/*.ts modules and mirrored /tests/*.test.ts suites that use repo-scoped domain names

In short: this fork is no longer just a repackaged copy of upstream; it is a feature-expanded and bug-fixed Telegram frontend for pi.

Install

From npm:

pi install npm:@llblab/pi-telegram

From git:

pi install git:github.com/llblab/pi-telegram

Or for a single run:

pi -e @llblab/pi-telegram

Configure

Open @BotFather
Run /newbot
Pick a name and username
Copy the bot token

pi

Start pi, then run:

/telegram-setup

Paste the bot token when prompted. If a bot token is already saved in ~/.pi/agent/telegram.json, /telegram-setup shows that stored value by default. Otherwise it pre-fills from the first configured environment variable in TELEGRAM_BOT_TOKEN, TELEGRAM_BOT_KEY, TELEGRAM_TOKEN, or TELEGRAM_KEY.

The extension stores config in:

~/.pi/agent/telegram.json

Connect a pi session

The Telegram bridge is session-local. Connect it only in the pi session that should own the bot:

/telegram-connect

To stop polling in the current session:

/telegram-disconnect

Check status:

/telegram-status

Pair your Telegram account

After token setup and /telegram-connect:

Open the DM with your bot in Telegram
Send /start

The first DM user becomes the allowed Telegram user for the bridge. The extension only accepts messages from that user.

Usage

Chat with your bot in Telegram DMs.

Additional fork-specific controls:

/status now has a richer view with inline buttons for model and thinking controls, and joins the high-priority control queue when pi is busy
/model opens the interactive model selector, applies idle selections immediately, joins the high-priority control queue when pi is busy, and can restart the active Telegram-owned run on the newly selected model, waiting for the current tool call to finish when needed
/compact starts session compaction when pi and the Telegram queue are idle
Queue reactions: 👍 prioritizes a waiting turn, 👎 removes it

Send text

Send any message in the bot DM. It is forwarded into pi with a [telegram] prefix.

Send images and files

Send images, albums, or files in the DM.

The extension:

downloads them to ~/.pi/agent/tmp/telegram
includes local file paths in the prompt
forwards inbound images as image inputs to pi

Ask for files back

If you ask pi for a file or generated artifact, pi should call the telegram_attach tool. The extension then sends those files with the next Telegram reply.

Examples:

summarize this image
read this README and summarize it
write me a markdown file with the plan and send it back
generate a shell script and attach it

Stop a run

In Telegram, send:

stop

or:

/stop

That aborts the active pi turn.

Queue follow-ups

If you send more Telegram messages while pi is busy, they are queued and processed in order.

The pi status bar shows queued Telegram turns as compact previews, for example:

+3: [⬆ write a shell script…, summarize this image…, 📎 2 attachments]

Priority turns promoted with 👍 are marked with ⬆ in that queue preview.

Each preview is limited to at most 4 words or 32 characters.

Reprioritize or discard queued messages

While a message is still waiting in the queue:

React with 👍 to move it into the priority block
React with 👎 to remove it from the queue

Priority is stable:

The first liked queued message stays ahead of later liked messages
Removing 👍 sends the message back to its normal queue position
Adding 👍 again gives it a fresh priority position

For media groups, a reaction on any message in the group applies to the whole queued turn.

Message reactions depend on Telegram delivering message_reaction updates for your bot and chat type.

Streaming

The extension streams assistant text previews back to Telegram while pi is generating.

It tries Telegram draft streaming first with sendMessageDraft. If that is not supported for your bot, it falls back to sendMessage plus editMessageText.

Notes

Only one pi session should be connected to the bot at a time
Replies are sent as normal Telegram messages, not quote-replies
Long replies are split below Telegram's 4096 character limit
Outbound files are sent via telegram_attach

License

MIT