Loomr 0.1.3

Modular, event-driven messaging bot runtime with plugins, YAML flows, and built-in FastAPI.

Loomr — Modular Messaging Service

Loomr is a modular, event-driven messaging runtime for building bots and automations across channels. Start with Telegram today; add more platforms via adapters and plugins. Configure flows in YAML, integrate via HTTP or SDKs, and run anywhere (Docker, CLI, or code).

Why Loomr

• Multi-channel by design: Start with Telegram; add more via adapters.
• Modular: Drop-in plugins for features (admin tools, analytics, menus, products, support, ticker, etc.).
• Flows in YAML: Describe steps, prompts, validations, branches without code.
• Event-driven: Built-in bus to trigger HTTP or shell actions on events (payments, roles, deliveries).
• First-class API: FastAPI server with OpenAPI/Swagger for delivery and integrations.
• Ship fast: Use Docker one-liners or the CLI, customize when needed.

Quickstart

• Docker (API):

  docker build -t loomr/messaging .
  docker run --rm -p 8090:8090 -e MODE=api loomr/messaging
  # Open http://127.0.0.1:8090/docs
  

• Docker (Bot):

  docker run --rm --env-file messaging_service/.env -e MODE=bot loomr/messaging
  

• CLI (local):

  python3 -m venv messaging_service/.venv
  messaging_service/.venv/bin/pip install -r messaging_service/requirements.txt
  messaging_service/.venv/bin/python -m messaging_service.cli init
  messaging_service/.venv/bin/python -m messaging_service.cli run-api
  # or
  messaging_service/.venv/bin/python -m messaging_service.cli run-bot
  

Local LLM via Ollama (optional)

Run Loomr with a local model through Ollama. The built-in plugin ollama_assistant exposes two commands:

• /ask <question> — ask the local model a question.
• /coach <user reply> — evaluate if a user's reply answers the current question and get a clearer re-ask.

Setup

1. Install and pull a model

curl -fsSL https://ollama.com/install.sh | sh
ollama pull llama3:8b
curl -sS http://127.0.0.1:11434/api/tags

2. Environment

Copy .env.example to .env and set at least your Telegram token. Optional Ollama vars:

OLLAMA_HOST=http://127.0.0.1:11434
OLLAMA_MODEL=llama3:8b
QUESTIONARY_PATH=messaging_service/config/questionary.md

3. Enable plugin

messaging_service/config/config.yaml already includes ollama_assistant under plugins.enabled and an ollama: section.

4. Run

make venv && make install
make run-bot

Usage examples

DM or Group (with BotFather privacy ON, the bot only sees commands):

/ask What plugins are enabled?
/ask Summarize the last 5 messages.
/coach Why should I choice ?

Group privacy OFF allows the bot to receive normal messages, but by default this plugin only responds to /ask and /coach.

API overview

FastAPI app in messaging_service/api_server.py.

• Docs: GET /docs, GET /redoc
• Product delivery: POST /deliver
• TON verify (example): POST /ton/verify
• Group upgrade (example): POST /group/upgrade

Auth: set DELIVER_BEARER in .env and include Authorization: Bearer <token> for /deliver.

Roadmap

• Additional adapters (WhatsApp/Instagram/etc.)
• SDKs from OpenAPI (TypeScript + Python)
• More built-in plugins and flow blocks
• Docker image publish on tags (GHCR/Docker Hub)

License

Source-available and free for non‑commercial use under the Prosperity Public License 3.0.0.

• See: LICENSE (Prosperity-3.0.0)
• Commercial licensing: COMMERCIAL_LICENSE.md
• Third‑party notices: THIRD-PARTY-NOTICES.md

Contributing

See CONTRIBUTING.md. PRs and plugins welcome!

Community & Support

• Telegram Support Group: https://t.me/+i1RDBKJv0U01OTQ0
• Author: Kai Gartner — LinkedIn: https://linkedin.com/in/kaigartner — Instagram: https://instagram.com/kaigartner