# NAS Telegram Codex Bridge Telegram bridge for a NAS-hosted Codex app-server. The bot does not interpret normal chat messages. It forwards them to Codex and only keeps connection-management commands. ## Commands ```text /start /help /whoami /repo /ask /work /usage /new /status /settings /set_model /set_effort /set_speed /fast /models /schedules /records /todos /purchases /birthdays /sessions /sessions archived /use_session /archive_session [thread_id] /unarchive_session ``` `ALLOW_PLAIN_TEXT=true` forwards regular Telegram messages to Codex. Set `WORK_TELEGRAM_CHAT_IDS` to one or more group chat ids to split the bot into profiles: listed chats run as `work` chats with full-access repository turns, and every other chat runs as a personal `assistant` chat for schedules, reminders, saved records, briefings, and lightweight Gitea/status lookup. In Telegram groups, disable bot privacy with BotFather if you want the bot to receive normal non-command messages. In `work` chats, normal messages are routed to the Codex work session by default. The bridge only handles narrow operational intents directly, such as usage checks, cancellation, or conversational status questions like "지금 뭐해?". Messages sent while a work turn is still running are queued and forwarded as follow-up instructions after the current turn completes. On Synology/NAS Docker deployments, keep `CODEX_WRITE_SANDBOX` set to `danger-full-access`. The stricter `workspace-write` sandbox may fail with bubblewrap namespace errors inside the container. Personal assistant chats use `CODEX_ASSISTANT_SANDBOX`, which defaults to `read-only`. If no `/repo` is set, the bridge tries to auto-select a workspace folder when a Telegram prompt mentions an exact folder name such as `card_game` or `nas_connection`. Use `/repo ` when you want to pin the workspace explicitly. `/settings`, `/models`, `/schedules`, `/records`, and `/sessions` return inline buttons, so you can change speed/model/reasoning settings, delete schedules, manage personal records, and switch or archive sessions without copying ids. `/usage` asks the local Codex app-server for account, plan, rate-limit, and credit information when the installed Codex version exposes it. ## Runtime settings Runtime settings are stored in `BOT_STATE_PATH` and applied to new turns: - `model`, for example `gpt-5.5` - `reasoning_effort`: `minimal`, `low`, `medium`, `high`, or `xhigh` - `speed_mode`: `standard` or `fast` Changing these settings closes existing persistent WebSocket clients. The next Telegram message reconnects with the updated settings. Fast mode requires a supported model/account; if the local Codex app-server rejects an override, the bridge retries with narrower settings rather than failing the whole turn. The model picker first tries `codex debug models` inside the NAS container and builds buttons from the model catalog Codex sees. If that fails, it falls back to a short built-in list. ## Scheduling The bridge registers a local MCP server named `telegram_bridge` in `$CODEX_HOME/config.toml`. Codex can call these tools when the user asks for scheduled Telegram notifications: - `telegram_create_schedule` - `telegram_list_schedules` - `telegram_delete_schedule` ## Personal assistant records Codex can persist personal assistant records to the same NAS-backed state file. Use natural language in Telegram, for example: ```text 이건 업무 이력으로 저장해줘. 2025-09-15부터 2026-04-15까지 전국통합데이터 개방확대 사업에 참여했어. 이건 할 일로 기억해줘. 다음 주까지 신세계 TV쇼핑 채팅 연동 QA 정리. 구매 후보로 저장해줘. 모니터암 가격 8만원 이하가 되면 사고 싶어. 어머니 생일은 5월 12일이야. 기억해줘. ``` Codex uses these MCP tools: - `telegram_save_personal_record` - `telegram_list_personal_records` - `telegram_update_personal_record` - `telegram_delete_personal_record` Record categories are `work_log`, `todo`, `purchase`, `birthday`, `contact`, `note`, and `preference`. Telegram commands `/records`, `/todos`, `/purchases`, and `/birthdays` show records with management buttons. The bridge scheduler runs inside the Telegram bot process. When a schedule is due, it calls Codex app-server and sends the result back to the stored Telegram chat id. ## Gitea integration Set these optional values in `.env` to let Codex manage Gitea repositories, commits, issues, pull requests, and HTTPS git authentication from Telegram: ```env GITEA_BASE_URL=https://gitea.example.com GITEA_USERNAME=your-gitea-user GITEA_EMAIL=you@example.com GITEA_TOKEN=your-personal-access-token GITEA_DEFAULT_OWNER=your-gitea-user-or-org GITEA_DEFAULT_REPO=your-default-repo GITEA_GIT_AUTH_ENABLED=true ``` Codex receives Gitea MCP tools for repository, commit, issue, branch, and pull-request metadata. The container also configures `GIT_ASKPASS` so HTTPS `git clone`, `fetch`, and `push` can use the token without embedding it in command lines. Example Telegram workflow: ```text /repo nas_connection /work 이슈 #3을 확인하고 코드 수정 후 테스트해. 변경사항을 codex/gitea-tools 브랜치로 커밋하고 push한 뒤 PR을 열어줘. ``` ## Deployment 1. Copy `.env.example` to `.env`. 2. Fill `TELEGRAM_BOT_TOKEN`. 3. Use `/whoami` to find your Telegram user id and set `ALLOWED_TELEGRAM_USER_IDS`. 4. Run `docker compose up -d --build`, or use `deploy/deploy.ps1` for the NAS. ## Notes - Codex state and auth live under the mounted `codex-home` volume. - The app-server listens on `ws://127.0.0.1:4500` inside the container. - Normal chat messages use full-access Codex turns with a persistent app-server WebSocket per Telegram chat when available. - Idle persistent WebSockets are closed after `PERSISTENT_WS_IDLE_SECONDS`. - Session commands call app-server thread APIs.