Open computers from the chat, let bots ask for a take-over, show task progress
- Serve each computer to its owner under /computers/<id>/ (HTTP and websockets proxied to the AIO sandbox) and show it in a shared ComputerView with browser, terminal and code modes, opened from the computers modal or a take-over button in the thread. - ask_user_to_take_over lets a bot hand a computer to the user for a login or captcha; the message gets a take-over button and needs-you, and the viewer hands it back with a chat message. - While a task runs the thread shows "<bot> is working..." with the task's latest step; steps read as plain words, not tool names. - A coordinator with no workers no longer claims to delegate, and bots describe started tasks in the first person. Co-Authored-By: Claude Opus 5.5 <[email protected]>
This commit is contained in:
Claude Opus 5.5
@@ -88,15 +88,17 @@ Inspect live data with `bun llm-code-assistant/query-db.ts "<sql>"` - a read-onl
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- **Routes:** `/admin/bots` ensures the coordinator and redirects to its chat (`/admin/bots/1` on a fresh install); `/admin/bots/[bot_id]` renders the conversation (header, thread and composer, the last two held to 760px; there is no right panel); `/admin/bots/[bot_id]/models` is a worker bot's own model settings (the coordinator's redirects to its chat). Both render in the full-bleed `src/layouts/bots/` layout (rail of conversations + user popover), which `__root.tsx` uses for every `/admin/*` page.
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- **Server:** `src/functions/backend/db/bots/` (`grab-bots`, `grab-bot-messages`, `grab-active-bot-task`, `grab-user-bot`, `mark-bot-read`, `insert-user-message`). `api/admin/bots/send-message.ts` posts a user message to a bot owned by the session user (zod: `src/schemas/bot-schema.ts`), queues the bot's reply (`enqueueBotReply`) and wakes the queue (`src/bots-queue/wake-bots-queue.ts`; never import `src/bots-queue/index.ts` from a page or API route, it pulls the bunext runtime into the page bundles). `upload-attachment.ts` stores one file for the next message (private `media` row, paradigm `bot-attachment`, type from `attachmentFileKind`, documents get `text_content`, limits in `AppData.BotAttachment*`) and `send-message` takes their `media_ids` (checked to be the user's own by `grabAttachableMedia`), linked in `bot_message_media`; messages carry `attachments` (`BotMessageWithAttachments`). `mark-read.ts` clears unread for a message that arrives in the open conversation; `save-harness-settings.ts` saves a worker bot's models.
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- **Message rendering:** bot messages are markdown, rendered with `react-markdown` + `remark-gfm` (raw HTML never rendered) through the twui-based map in `[bot_id]/(data)/message-markdown-components.tsx` (`markdown-link`, `markdown-list`, `markdown-code-block` partials). User messages stay plain text.
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- **Attachments and thinking:** the composer uploads files as they're picked, pasted or dropped (`use-composer-attachments`), shows them as chips, and sends once none is still uploading; the thread shows images as thumbnails and other files as chips. Replies read the files of the last `BotReplyAttachmentMessages` messages with any (`load-attachment-parts.ts`: images and audio as parts, documents as their text up to `BotAttachmentMaxTextChars`, videos as a note); older ones are only named. Tasks don't get the files yet. While a reply runs (face `working`, status `BotReplyJobTitle`) or waits for a model (`BotWaitingStatusLine`), `BotThinkingRow` sits under the last message. Live notices come from the process that ran the job at once, and from every other process through the live relay.
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- **Attachments and thinking:** the composer uploads files as they're picked, pasted or dropped (`use-composer-attachments`), shows them as chips, and sends once none is still uploading; the thread shows images as thumbnails and other files as chips. Replies read the files of the last `BotReplyAttachmentMessages` messages with any (`load-attachment-parts.ts`: images and audio as parts, documents as their text up to `BotAttachmentMaxTextChars`, videos as a note); older ones are only named. Tasks don't get the files yet. While a reply runs (face `working`, status `BotReplyJobTitle`) or waits for a model (`BotWaitingStatusLine`), `BotThinkingRow` sits under the last message; while a task runs it reads "<name> is working…" with the task's latest step. A coordinator with no workers gets `CoordinatorSoloNote` instead of `CoordinatorReplyNote`, so it never claims to have handed work to a worker. Live notices come from the process that ran the job at once, and from every other process through the live relay.
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- **Avatars:** `BotStone` (`src/components/general/bot-stone.tsx`) renders the stone inline from `src/data/stone-geometry.ts`, hue as a fill token, face (`idle|working|done|asleep|needs-you`) drawn as eyes. The coordinator is hue-less (ink body, paper eyes; inverts in dark). Never put a stone in a circle/badge or add outline/shadow. Wordmark is vector (`Wordmark`, `src/data/wordmark-paths.ts`), never live text.
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- **Copy helpers:** `src/utils/crew-status.ts` (`3 working · 1 needs you`, "Three bots are working. One needs you."), `src/utils/relative-time.ts` (relative timestamps only).
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- **Prompt and memory (self-learning):** a bot has `system_prompt` (core instructions) and a separate `memory` (markdown, what it must always remember). The bot rewrites both as it adapts to the user (`update-bot-system-prompt`, `update-bot-memory` in `src/functions/backend/db/bots/`; whole-text replace, capped at `AppData.PromptMaxLength`). `grab-bot-prompt` builds the full prompt via `composeBotPrompt` (`src/utils/compose-bot-prompt.ts`): core instructions, then each non-archived workspace's `system_prompt` under `# Workspace: <name>`, then `# Memory`.
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- **Queue:** every bot job goes through `bots_queue`, with `kind` (`BotJobKinds`): `reply` (answers the user in chat, no task row) or `task` (long-running work, typically on a computer). Long-running work goes through `bots_queue`, a bun-sqlite `isQueue` table worked with the native `BunSQLite.queue` API (`status` pending|processing|completed|failed, `attempts`, `available_at`, `locked_at`/`locked_by`, `last_error`; options in `AppData.BotQueue*`). Not every message needs a job: the bot replies right away that it's on it and `enqueueBotJob` queues the brief (`instructions`, `params`, optional `message_id`/`computer_id`, the computer checked against the bot's access; a `bot_tasks` row is created unless `task_id` is given). DB helpers in `src/functions/backend/db/bots-queue/`: `claimBotJobs`, `updateBotJob` (renews the lock, saves `progress`/`checkpoint`; false once lost or cancelled), `completeBotJob` (result message, task done, face done/needs-you), `failBotJob` (backoff retry, or `fatal`; out of attempts posts a needs-you message via `notifyBotJobFailed`), `cancelBotJob` (failed with `BotJobCancelledError`, `src/dict/bot-queue-dict.ts`), `releaseWorkerBotJobs`. Every model turn of a job is a step in `bots_queue_updates` (`kind` tool|note, one-line `text`, JSON `metadata`; tool names, never arguments; `describe-job-step.ts`), written through the job context's `report` (the text loop's `onStep`), which also sets `progress` and pushes `server:bot-job-update` (`BotJobUpdateData`). Steps are deleted with their job when it's pruned. The active task's latest `AppData.BotJobUpdatesShown` steps ride on `BotTaskWithSteps.updates` (`grabBotJobUpdates`); nothing in the UI shows them since the working-on panel was removed.
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- **Queue:** every bot job goes through `bots_queue`, with `kind` (`BotJobKinds`): `reply` (answers the user in chat, no task row) or `task` (long-running work, typically on a computer). Long-running work goes through `bots_queue`, a bun-sqlite `isQueue` table worked with the native `BunSQLite.queue` API (`status` pending|processing|completed|failed, `attempts`, `available_at`, `locked_at`/`locked_by`, `last_error`; options in `AppData.BotQueue*`). Not every message needs a job: the bot replies right away that it's on it and `enqueueBotJob` queues the brief (`instructions`, `params`, optional `message_id`/`computer_id`, the computer checked against the bot's access; a `bot_tasks` row is created unless `task_id` is given). DB helpers in `src/functions/backend/db/bots-queue/`: `claimBotJobs`, `updateBotJob` (renews the lock, saves `progress`/`checkpoint`; false once lost or cancelled), `completeBotJob` (result message, task done, face done/needs-you), `failBotJob` (backoff retry, or `fatal`; out of attempts posts a needs-you message via `notifyBotJobFailed`), `cancelBotJob` (failed with `BotJobCancelledError`, `src/dict/bot-queue-dict.ts`), `releaseWorkerBotJobs`. Every model turn of a job is a step in `bots_queue_updates` (`kind` tool|note, one-line `text`, JSON `metadata`; tool names, never arguments; `describe-job-step.ts`), written through the job context's `report` (the text loop's `onStep`), which also sets `progress` and pushes `server:bot-job-update` (`BotJobUpdateData`). Steps are deleted with their job when it's pruned. The active task's latest `AppData.BotJobUpdatesShown` steps ride on `BotTaskWithSteps.updates` (`grabBotJobUpdates`); the conversation (`bot_task` page prop, `use-task-progress`) shows the latest one under `BotThinkingRow`'s "<name> is working…" while a task runs. Step text is the first line the model wrote, else plain labels for its tools (`JobStepToolLabels` in `src/dict/bot-queue-dict.ts`).
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- **Queue handler:** `src/bots-queue/index.ts`, started from `server.ts` after cron and gated the same way. It releases its own cut-off jobs on startup (stable worker `AppData.BotQueueWorker`), then polls every `BotQueuePollMs`: reports jobs bun-sqlite failed on a lock timeout (`report-lost-bot-jobs`), claims per kind (`claimBotJobs` mirrors bun-sqlite's atomic claim plus `kind`, since `queue.claim` has no filter) up to `BotQueueReplyConcurrency` replies and `BotQueueConcurrency` tasks on separate slots, and runs each with `processBotJob` (heartbeat at a quarter of the lock timeout, abort on cancel/loss, one task per computer and one reply per bot via `createKeyLock`, face `working` once it starts, outcome pushed live). The actual work is `run-bot-job.ts` (`BotJobRunner`, context in `types.ts`), which dispatches to `run-bot-reply.ts` and `run-bot-task.ts`. Throw `BotJobFatalError` for failures retrying can't fix. When every model is resting (`HarnessError.resting`, nothing was tried) the job is put back with `deferBotJob` until the first comes back, its attempt refunded and the bot's face `asleep`; other retryable harness errors retry no sooner than their `retry_at`. The `prune-bots-queue` cron deletes finished jobs after `BotQueueRetentionDays`.
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- **Live updates:** server push only. `sendToUser` (`src/websocket/(functions)/send-to-user.ts`) sends to one user's sockets; `pushBotNotice` sends `server:bot-message` (the message row, user messages too, for other tabs) and `server:bot-updated` (`BotUpdatedData`: face, status line, active task). The bots layout opens one socket (twui `useWebSocket`); components listen with `useServerEvent` (`src/hooks/`), and `useLiveBots` keeps the rail and header current. The conversation dedupes messages by id. Every process also runs `liveRelay` (`src/live-relay/`): every `AppData.LiveRelayPollMs` it reads new `bot_messages`, new `bots_queue_updates` and changed bots from the database and pushes them to its own sockets, so work done by another process still shows live; clients drop what they already have. `server:bot-updated` carries the bot's `computer_id` when known, which keeps the header's computer in step across tabs. A rail row's subtitle is the bot's status line while it has one, else (coordinator) the crew counts while a worker is busy or needs you, else its last message as plain text (`src/utils/message-preview.ts`).
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- **Workspaces:** `workspaces` (per user, `name`, `description`, `system_prompt` shared by every bot in it, `archived`), with bots assigned through `workspace_bots` and computers through `workspace_computers`. Helpers in `src/functions/backend/db/workspaces/` (`create-workspace`, `update-workspace`, `add/remove-bot-*`, `add/remove-computer-*`), all ownership-checked against the session user.
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- **Computers:** a computer is an AIO sandbox in its own docker container on the `AppData.DockerNetworkName` network. `containers` records every docker container the app knows about except the main app container (`name` doubles as the hostname, plus `docker_id`, `image`, `network`, `port`, `status`, `metadata`). `computers` (per user, `kind` main|sandbox, `container_id`) and `bot_computers` (direct access). Each user has one main computer, recorded with the account (signup, `bun run seed`) and as a fallback by `/admin/bots` via `ensureMainComputer` (`src/functions/backend/db/computers/ensure-main-computer.ts`, idempotent), which also records its container (`AppData.MainComputerContainerName`, created by the installer) and grants the coordinator access. That one grant can't be removed (`isLockedComputerAccess`, enforced in `remove-bot-from-computer` and the `bot_computers` CRUD handler); every other grant can. A bot's effective computers (`grab-bot-computers`) are its direct grants plus every computer assigned to a non-archived workspace it's in (the coordinator's are all of the user's computers), the one it's on first: `bots.computer_id` (not a foreign key; null or a lost grant means its main one), so `computers[0]` is where its tasks run by default. The user switches it from the chat header (`(partials)/bot-computers-modal.tsx`, a ghost icon beside the model icon; the header names the current computer and the text model and provider under the bot's name) or by clicking a computer the bot named in a message: bots write `[computer:ID]` (`src/utils/computer-ref.ts`, turned into `#computer-ID` links by `link-computer-refs.ts`, rendered by `(partials)/computer-ref-chip.tsx`), both sharing `BotComputersContext` / `use-bot-computers`, saved by `api/admin/bots/set-computer.ts` (`setBotComputer`). Enums in `src/dict/computer-dict.ts`.
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- **Opening a computer:** the app serves each computer to its owner under `/computers/<id>/` (`ComputerProxyPrefix`): `src/server.ts` hands those paths to `handleComputerProxy` (`src/functions/server/computers/`: `userAuth`, ownership via `grabUserComputer`, then the sandbox's address from `grabComputerMcpUrl`), which fetches plain requests (app session cookies dropped, `X-Forwarded-Host/Proto/Prefix` set so the sandbox builds its links and CDP address under the prefix, framing headers and redirects fixed) and bridges websockets (`computerProxySocket`, dispatched from `src/websocket/` when `ws.data.proxy` is set). `ComputerView` (`src/components/general/computer-view.tsx`) shows a computer in one of `ComputerViewModes` (browser `/browser-ui`, terminal `/terminal`, code `/code-server/`; more of the sandbox's apps can be added there), keeping visited modes loaded. In the chat, `(partials)/computer-viewer-modal.tsx` shows it, opened from a computer card's open button in the computers modal or a take-over button (`openComputer` on `BotComputersContext`).
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- **Take-over:** a bot asks the user to take over a computer with `ask_user_to_take_over` (`src/harness/tools/computer/ask-to-take-over-tool.ts`, chat replies and tasks, defaulting to the task's computer). It writes `[take-over:ID:mode]` (`src/utils/take-over-ref.ts`; `withTakeOverRefs` adds it if the bot left it out and flags the message needs-you), linked by `link-computer-refs.ts` and rendered by `(partials)/take-over-chip.tsx`. The viewer then offers "Hand back to <bot>", which sends a chat message so the bot carries on; a task stops and reports instead of waiting.
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- **Not built yet:** add-bot flow, routines, help, task steps (nothing writes `bot_task_steps` yet).
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### Envs
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@@ -117,7 +119,7 @@ Envs are set in Settings, under Environment (super admin only), not in `.env`. T
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- **Automatic picks** (`rank-auto-models`): free models that can do the job (on the setting's provider when it has one; a provider without free models needs a picked model) (`model-serves-harness`: text needs tools), by vendor `AutoModelVendorPreference` (DeepSeek, Qwen, NVIDIA, Liquid), then other vendors that look competent (`AppData.HarnessAutoMin*`), then routers; within a vendor by intelligence index, then full-size before small, newest first. Transcription puts real speech-to-text models first.
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- **Calling:** `resolveHarnessCandidates` (pinned, then automatic) -> `withCandidates` tries them in order with process-wide cooldowns (`resolve/harness-cooldowns.ts`): rate limits and outages rest the model (until `Retry-After` when given), 401/402 rest the whole provider, 403/404 rest the model for an hour. Errors are `HarnessError` (`code` provider|unavailable|aborted, `retryable`), classified in `to-harness-error.ts`. Entry points: `text/generate-text.ts` (one turn), `text/run-text-loop.ts` (tool loop, sticks to one model, wraps up after `HarnessMaxToolSteps`, trims the oldest tool output before each turn to fit the model's context, `fit-transcript-to-context.ts`), `media/read-image.ts`, `media/read-media.ts` (documents locally via `fileToText`, images and audio through their harnesses), `audio/transcribe-audio.ts`, `audio/speak-text.ts`, `image/generate-image.ts`. A text model that can't take an image or audio part gets it read by the vision/transcription harness first (`prepare-messages-for-model.ts`).
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- **Per-bot models:** a worker bot inherits the defaults per harness unless it has a `bot_harness_settings` row (same fields as `harness_settings`, unique per bot and harness). `grabHarnessSetting({ harness, bot_id })` returns the bot's row (`source: "bot"`) or the default; the coordinator always gets the default. Every entry point takes `bot_id` and passes it on (text loop -> media reading/transcription), so a bot's run uses its own models throughout. Saved by `saveBotHarnessSetting` (`inherit` deletes the row); the page data is `grabBotHarnessOverview`. A bot's chat header has a ghost model icon (`(partials)/header-icon-button.tsx`; the text model and provider show under the bot's name) that opens a modal with every harness (`(partials)/bot-models-modal.tsx`); the modal and `/admin/bots/[bot_id]/models` both use `(partials)/bot-harness-form.tsx`. On the coordinator the modal edits the defaults themselves (`api/admin/harness/save-settings`, the same settings as Settings, under Models, without the providers): super admins only, the icon is disabled for everyone else. Every one of these wraps `settings/models/(partials)/harness-settings-form.tsx`: per harness a provider select first (`harness-provider-select.tsx`: any provider, one provider, or on a bot "Same as the default"), then the model select narrowed to it. Removing a provider (`deleteHarnessProvider`) puts default and bot settings that picked it or its models back on any provider (`save` prop; "Same as the default" shows when the overview item has `default`).
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- **Tools:** `HarnessTool` (built per run with its bot bound): own tools validate with a zod `schema`; tools described elsewhere pass a JSON schema as `parameters` and validate themselves. `run-tool-call.ts` reports bad calls and failures back to the model as `Error: ...`. Bot tools in `src/harness/tools/bot/`: `update_memory`, `update_instructions` (`grabBotTools`, every run), `start_task` and, for the coordinator with workers, `delegate_task` (`grabBotChatTools`, chat replies only; the job's `requested_by_bot_id` is the coordinator, and `relayJobToRequester` posts the worker's result or failure in its conversation, pushed as `relay` by `pushBotNotice`), plus for the coordinator `assign_computer` (grant or revoke a worker's direct access, `add/remove-bot-to/from-computer`; access through a workspace stays and the result says so). `search_computers` (`src/harness/tools/computer/search-computers-tool.ts`, chat replies and tasks) runs one read-only command on all of a bot's computers at once over the sandbox REST API (`run-computer-command.ts`), each output under its `[computer:ID]`, secrets redacted, capped by `AppData.ComputerSearch*`.
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- **Tools:** `HarnessTool` (built per run with its bot bound): own tools validate with a zod `schema`; tools described elsewhere pass a JSON schema as `parameters` and validate themselves. `run-tool-call.ts` reports bad calls and failures back to the model as `Error: ...`. Bot tools in `src/harness/tools/bot/`: `update_memory`, `update_instructions` (`grabBotTools`, every run), `start_task` and, for the coordinator with workers, `delegate_task` (`grabBotChatTools`, chat replies only; the job's `requested_by_bot_id` is the coordinator, and `relayJobToRequester` posts the worker's result or failure in its conversation, pushed as `relay` by `pushBotNotice`), `ask_user_to_take_over` (see Take-over), plus for the coordinator `assign_computer` (grant or revoke a worker's direct access, `add/remove-bot-to/from-computer`; access through a workspace stays and the result says so). `search_computers` (`src/harness/tools/computer/search-computers-tool.ts`, chat replies and tasks) runs one read-only command on all of a bot's computers at once over the sandbox REST API (`run-computer-command.ts`), each output under its `[computer:ID]`, secrets redacted, capped by `AppData.ComputerSearch*`.
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- **MCP:** `src/harness/mcp/`: `connectMcpServer` (Streamable HTTP, SSE fallback), `grabMcpTools` (each server tool becomes a `HarnessTool` with its JSON schema), `mcpResultToText` (text as is, images read by the vision harness, `isError` thrown). Computers are reached this way: `openComputerTools` (`src/harness/tools/computer/`) connects to the computer's AIO sandbox at `grabComputerMcpUrl` (container `metadata.mcp_url`, else the `MAIN_COMPUTER_URL` app setting for the main computer, for a dev server outside docker, e.g. `http://localhost:8170`, else `http://<hostname>:<port>/mcp`), leaves out `ComputerMcpExcludedTools`, and sets the computer's envs (see Envs).
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- **Replies and tasks:** `run-bot-reply.ts` answers from the last `BotReplyHistoryMessages` messages (`botMessagesToHarness`) with `ChatReplyNote`, the bot's computers (`compose-computers-note.ts`: what they are and that they're reached through `start_task`) and the chat tools, at most `BotReplyMaxToolSteps` steps, and finishes silently if the bot already had the last word (`enqueueBotReply` reuses a pending reply, so a burst of messages gets one). `run-bot-task.ts` runs the brief (`compose-job-brief.ts`) with `TaskRunNote`, the bot tools and the job's computer tools, closing the MCP connection after. Retryable harness errors go back to the queue's backoff, the rest are `BotJobFatalError`.
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- **API:** `api/admin/harness/` (`save-provider` also syncs, `sync-provider`, `delete-provider`, `save-settings`), super admin only, each returning the fresh `grabHarnessOverview()` page data.
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@@ -171,7 +173,7 @@ Server functions use `index.server.ts` alongside `index.tsx` (e.g. `single-docum
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| Directory | Description |
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| ---------------------------- | ----------------------------------------------------------------------------------------------------------------------------------------------------------- |
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| `@moduletrace/twui` | **The** design system - external package. Contains layout primitives, elements, editors (TinyMCE), form components, hooks, SVGs, and utilities. Import from `@moduletrace/twui` or a deep path such as `@moduletrace/twui/layout/Button` |
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| `src/components/general/` | Shared page components built on twui: `logo`, `logo-icon`, `wordmark`, `bot-stone` (+ `bot-stone-face`, `stone-eye-*`), `inner-page-hero-section`, `main-hero-section`, `admin-hero`, `login-shell`, `tagline-section`, media/image helpers |
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| `src/components/general/` | Shared page components built on twui: `logo`, `logo-icon`, `wordmark`, `bot-stone` (+ `bot-stone-face`, `stone-eye-*`), `user-avatar` (round photo or initials, `sm|md|lg`), `computer-view` (+ `computer-view-frame`, `computer-view-mode-button`), `inner-page-hero-section`, `main-hero-section`, `admin-hero`, `login-shell`, `tagline-section`, media/image helpers |
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## UI & Styling Rules (MANDATORY)
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Reference in New Issue
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