agentleFS
littlebearappslittlebearapps/untether/.claude/skills/telegram-bot-api/SKILL.md

telegram-bot-api

Skill72 starsChanged 37 days agoMITView on GitHub

Raw Telegram Bot API patterns used by Untether. Covers httpx async HTTP client, inline keyboards, callback queries, long polling, rate limiting, outbox model, forum topics, voice transcription, and media group coalescing. NOT aiogram, python-telegram-bot, or grammY — Untether uses raw HTTP.

2 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

9 rules. About 0 are common, 1 is distinctive, and 8 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 8

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    All calls go through TelegramClient.

    line 36
  2. Very specific:

    All responses decoded with msgspec.json.decode into typed structs

    line 49
  3. Very specific:

    Must call answerCallbackQuery promptly to clear the spinner

    line 70
  4. Very specific:

    No webhooks — Untether is designed for single-instance long polling

    line 86
  5. Very specific:

    All writes (send, edit, delete) go through TelegramOutbox:

    line 90
  6. Very specific:

    After transcription, correct_known_mishears() rewrites the known Claude mishears ("Clawde"/"Clawd" → Claude, "Clawed Code" → Claude Code, …

    line 132
  7. Very specific:

    After media_group_debounce_s seconds of quiet, buffer flushes

    line 146
  8. Very specific:

    Wait forward_coalesce_s seconds for additional forwards

    line 152
  9. Distinctive:

    Default: split across multiple messages with "continued (N/M)" headers (~3500 chars per chunk)

    line 159

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Telegram Bot API (Raw HTTP)

Untether uses a custom Telegram Bot API client built on httpx (async) and msgspec (JSON). There is no Telegram SDK dependency.

Key files

FilePurpose
src/untether/telegram/client.pyTelegramClient — Bot API facade over the outbox, per-chat pacing
src/untether/telegram/client_api.pyHttpBotClient — the httpx calls: 30 s message-call timeout, one safe retry (#861), benign-rejection classes (#746)
src/untether/telegram/outbox.pyTelegramOutbox — queued send/edit/delete with rate limiting
src/untether/telegram/bridge.pyTelegramPresenter — renders progress, inline keyboards, answers
src/untether/telegram/loop.pyLong polling loop (getUpdates), callback dispatch
src/untether/telegram/commands/Command and callback handlers
docs/reference/transports/telegram.mdFull transport reference

Bot API call pattern

All calls go through TelegramClient; the HTTP layer is HttpBotClient (client_api.py), which wraps httpx.AsyncClient:

# Typical Bot API call (simplified; HttpBotClient._post)
resp = await self._http.post(
    f"{self._base_url}/bot{self._token}/{method}",
    json=params,
)
data = msgspec.json.decode(resp.content, type=TelegramResponse)
  • Base URL: https://api.telegram.org
  • Auth: bot token in the URL path (/bot<token>/)
  • All responses decoded with msgspec.json.decode into typed structs
  • Error handling: check ok field, raise on HTTP or Telegram errors

Inline keyboards and callback queries

Permission requests and plan mode buttons use Telegram inline keyboards:

# reply_markup structure in RenderedMessage.extra
{
    "reply_markup": {
        "inline_keyboard": [
            [{"text": "Approve", "callback_data": "claude_control:approve:<request_id>"}],
            [{"text": "Deny", "callback_data": "claude_control:deny:<request_id>"}],
            [{"text": "Pause & Outline Plan", "callback_data": "claude_control:discuss:<request_id>"}],
        ]
    }
}
  • Callback data format: <prefix>:<action>:<id> (max 64 bytes)
  • Must call answerCallbackQuery promptly to clear the spinner
  • Early answering: set answer_early = True on the backend to clear the spinner immediately with a toast
  • approval_originator_only (#388, opt-in): a claude_control: / aq: tap from anyone but the run's originator gets answerCallbackQuery with "Only the person who started this run can answer this." and is dropped — checked before the early answer (telegram/approval_originator.py)

Long polling (getUpdates)

# In telegram/loop.py
updates = await client.get_updates(offset=last_offset + 1)  # timeout_s=50 long poll
for update in updates:
    last_offset = update.update_id
    await handle_update(update)
  • Bypasses the outbox (direct API call)
  • Retries on RetryAfter by sleeping for the provided delay
  • No webhooks — Untether is designed for single-instance long polling

Outbox model

All writes (send, edit, delete) go through TelegramOutbox:

  • Single worker processes one op at a time
  • Keyed deduplication: one pending op per key; new ops overwrite payload but preserve queued_at
  • Priority scheduling: (priority, queued_at) ordering
    • send=0 (highest), delete=1, edit=2 (lowest)
  • Coalescing: rapid edits to the same message naturally coalesce (only latest payload runs)

Key formats (include chat_id to avoid cross-chat collisions):

  • ("edit", chat_id, message_id) for edits
  • ("delete", chat_id, message_id) for deletes
  • ("send", chat_id, replace_message_id) when replacing a progress message
  • Unique key for normal sends

Rate limiting

  • Per-chat pacing: private_chat_rps (default 1.0 msg/s), group_chat_rps (default 20/60 msg/s)
  • Per-chat _next_at[chat_id] timestamps — worker picks from unblocked chats; global retry_at blocks all on 429
  • On 429: RetryAfter raised using parameters.retry_after; op requeued if no newer op superseded it
  • Non-429 errors: logged and dropped. The HTTP layer retries a message call once on a fresh connection only when the request never left (edits/deletes/callback answers also after a read timeout; a sendMessage that may have arrived is never repeated, #861); error logs carry chat_id/message_id and kind — the surface (progress, final, bg_status, approval_surface, …) set by a with message_kind("…") block around the transport call (transport.py); the outbox op captures it at enqueue and re-applies it on the worker (#823)

Replace progress messages

send_message(replace_message_id=...):

  1. Drops any pending edit for the progress message
  2. Enqueues the send at highest priority
  3. On success, queues a delete for the old progress message without awaiting it (wait=False, #928) — a slow delete must not hold a final past its delivery bound

Voice transcription

[transports.telegram]
voice_transcription = true
voice_transcription_model = "gpt-4o-mini-transcribe"
  1. Download voice payload from Telegram (getFile + HTTP fetch)
  2. Transcribe with OpenAI-compatible API (or local Whisper server)
  3. Route transcript through same command/directive pipeline as typed text

Optional voice_transcription_language (ISO-639-1 hint) and voice_transcription_prompt (vocabulary bias). Unset prompt → DEFAULT_VOICE_TRANSCRIPTION_PROMPT in telegram/voice.py (Claude, Claude Code, CLAUDE.md, AGENTS.md, Codex, OpenCode and product terms — no deprecated or out-of-scope engine names, #703/#789); a value replaces it, "" disables it.

After transcription, correct_known_mishears() rewrites the known Claude mishears ("Clawde"/"Clawd" → Claude, "Clawed Code" → Claude Code, "Claw.md" → CLAUDE.md; whole words only, a bare "clawed" is kept) and logs voice.transcript.corrected with a count, never the text (#789).

Forum topics

Topics bind Telegram forum threads to a project/branch:

  • Scope modes: auto, main, projects, all
  • /topic <project> @branch creates and binds a topic
  • Resume tokens persist per topic
  • Bot needs Manage Topics permission

Media group coalescing

Multiple documents sent as an album share a media_group_id:

  • MediaGroupBuffer collects messages with the same media_group_id
  • After media_group_debounce_s seconds of quiet, buffer flushes
  • Processed as a single batch via handle_media_group

Forwarded message coalescing

Comment + forwarded messages arrive as separate updates:

  • Wait forward_coalesce_s seconds for additional forwards
  • Forwards appended to the prompt; don't start their own runs
  • Forwarded messages alone don't start runs
  • A second plain prompt in the window is merged into the pending one (texts joined in order), never replacing it (#794); an unmergeable one (different reply target, voice vs text, leading directive, changed context) flushes the pending prompt as its own run first

Message overflow

  • Default: split across multiple messages with "continued (N/M)" headers (~3500 chars per chunk)
  • Trim mode: truncate to single message (~3500 chars)
  • Configure via message_overflow = "split" | "trim"

Markdown rendering quirks (telegram/render.py)

render_markdown() rewrites markdown-it text tokens before rendering (code spans/blocks untouched):

  • Bare <br>, <br/>, <br /> → line break (a space inside a table row); other tags stay escaped text (#786)
  • Bare filenames ending .md, .sh, .py (country-code TLDs) → inline code, so neither linkify nor Telegram clients turn CLAUDE.md into http://claude.md/ (#788)
  • GFM pipe tables keep one row per line with a bold header, repeated across split chunks (#797); single newlines in line-structured text are kept while wrapped prose reflows (#870); an ordered list keeps its own start number (#886)

Approval push notifications

edit_message_text doesn't trigger phone push notifications. Untether sends a separate notify=True message ("Action required -- approval needed") when approval buttons appear. The _approval_notified flag resets when buttons disappear.

Ephemeral message cleanup

Approval-related messages auto-delete:

  • "Action required" notification — deleted when user clicks a button
  • "Approved/Denied" feedback — deleted when the run finishes
  • Tracked via _approval_notify_ref (in ProgressEdits) and _EPHEMERAL_MSGS (in runner_bridge.py)

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.