# Social Post Writer Bot — development

The bot prepares social-media posts only when the user explicitly asks. It transcribes Russian voice notes with APInex STT, classifies intent with an LLM, and uses Gemini 3.8 Flash via APInex to write/revise posts or infer Tone of Voice from a screenshot. A post request/revision returns three separate messages. The bot shows the Telegram typing indicator while classifying, transcribing, reading images, and generating. It stores no conversation history.

- Runtime: Python 3.12, aiogram 3.x
- Release version is stored in `VERSION` and incremented for each code change; dev sends a version notice on boot.
- In development, processing errors are returned to the user with a concise, secret-redacted reason.
- Coolify: project `Social Post Writer Bot`, environment `development`, server `spb-easy-dale`
- Gitea: `admin/social-post-writer-bot`, branch `dev`
- API key and model variables are stored only in Coolify: `APINEX_API_KEY`, `APINEX_STT_MODEL`, `APINEX_INTENT_CLASSIFIER_MODEL`, `APINEX_POST_WRITER_MODEL`, `APINEX_IMAGE_TONE_MODEL`.
- LLM model env defaults are `gemini-3.8-flash`; STT model defaults to APInex `nova-2`.
- Per-user Tone of Voice lives in SQLite at `/app/data/social_writer.sqlite3`; persistent Coolify storage must be mounted at `/app/data`.
- The Tone of Voice response shows the extracted style instructions.
- Each generated post is sent as its own message containing only the post text; retain the model's line breaks, paragraphs and emojis, without headings or explanations.
- A screenshot gallery is processed once as one update; screenshots are analyzed together into a single ToV profile.
- Telegram screenshots are sent to APInex as inline base64 data URLs; images and full source text are not persisted.

## Local tests

Run `python -m unittest discover -s tests -v`.