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CLI for brain: setup, start, stop, logs, status","maintainers":[{"name":"louiswt","email":"louiswt@foxmail.com"}],"readme":"# Brain\r\n\r\nA unified CLI that turns Microsoft Teams into a personal AI assistant interface. Pick the agent backend per conversation: the [Claude Agent SDK](https://docs.anthropic.com/en/docs/claude-agent-sdk) (default — in-process, full MCP / hooks / sub-agents) or the [GitHub Copilot CLI](https://github.com/github/copilot-cli) (per-turn subprocess). One command connects to the shared gateway, another provisions your own — then you chat in Teams with full tool use, persistent sessions, and scheduled tasks.\r\n\r\n## How It Works\r\n\r\nBrain follows a 3-tier WebSocket relay architecture: a shared Cloud Gateway on Azure routes Teams messages over persistent WebSocket connections to each user's local machine, where Claude processes them.\r\n\r\n```mermaid\r\nflowchart TB\r\n subgraph teams [\"Microsoft Teams\"]\r\n user([\"User @mentions bot\"])\r\n end\r\n\r\n subgraph bfs [\"Azure Bot Service\"]\r\n bf[\"Bot Framework Service\\n(message routing)\"]\r\n end\r\n\r\n subgraph azure [\"Azure App Service (shared)\"]\r\n gw[\"Cloud Gateway (bot-app)\\nTeams SDK · WSS relay\\nOID routing · device binding\\nofflinebuffer · picker\"]\r\n end\r\n\r\n subgraph local [\"User's Machine(s)\"]\r\n cli[\"brainbotbeta CLI\\nMSAL auth · daemon\\ntoken refresh · LLM proxy\"]\r\n server[\"local-server\\nClaude SDK / Copilot CLI · device-id\\nSQLite · scheduler · MCP tools\"]\r\n end\r\n\r\n user -- \"message\" --> bf\r\n bf -- \"reply\" --> user\r\n bf -- \"POST /api/messages\" --> gw\r\n gw -- \"reply\\n(Managed Identity, no secrets)\" --> bf\r\n\r\n server -- \"WSS /connect\\n(Entra ID JWT + x-brain-device-id)\" --> gw\r\n gw -- \"MessageFrame\" --> server\r\n server -- \"ResponseFrame\\nTypingFrame · PushFrame\" --> gw\r\n\r\n cli -. \"spawns + manages\" .-> server\r\n cli -. \"refreshes tokens\\n(relay JWT · Graph token)\" .-> server\r\n```\r\n\r\n**Key insight**: the local-server connects *outbound* to the Gateway — no port forwarding, no tunnels, works behind any NAT/firewall. When the local-server is offline, the Gateway buffers messages (up to 100/user, 1h TTL) and replays them on reconnect.\r\n\r\n**Multi-device routing**: each `local-server` install carries a stable `deviceId` (UUIDv4 at `~/.brainbotbeta/device-id`). The Gateway can route the same OID to *different* devices for different Teams conversations — bound at first message (silent auto-bind if 1 device online, picker card if 2+). See [Multi-Device Routing](#multi-device-routing).\r\n\r\n## Prerequisites\r\n\r\n- **Node.js** >= 22.13.0 (for built-in `node:sqlite`)\r\n- **Azure CLI** (`az`) — logged in with `az login`\r\n- **Claude Code CLI** (`claude`) — installed via `winget install Anthropic.ClaudeCode` or `npm install -g @anthropic-ai/claude-code` (required for the default `claude` backend)\r\n- **GitHub CLI** (`gh`) — logged in with `gh auth login` (needed to download from private repo)\r\n- **GitHub Copilot CLI** (`copilot`) — optional, only required to use the `copilot` agent backend (`winget install GitHub.CopilotCLI` or `npm install -g @github/copilot`)\r\n- A Microsoft 365 account with Teams\r\n- A GitHub account (for Copilot LLM proxy authentication and the optional Copilot agent backend)\r\n\r\n> All prerequisites are auto-installed by the install script if missing (via `winget`).\r\n\r\n## Quick Start (End Users)\r\n\r\nInstall directly from npm:\r\n\r\n```bash\r\nnpm install -g @brain-ai/teams-bot\r\n```\r\n\r\nThen start the daemon:\r\n\r\n```bash\r\nbrainbotbeta start --gateway wss://brain-bot-beta.azurewebsites.net/connect\r\n```\r\n\r\nAlternatively, use the install script which also handles prerequisites and proxy setup. Requires `gh` CLI installed and authenticated:\r\n\r\n```powershell\r\nRemove-Item \"$env:TEMP\\*.ps1\" -ErrorAction SilentlyContinue; gh release download --repo liuwentong_microsoft/teamsclaw --pattern \"*.ps1\" --dir $env:TEMP; powershell -ExecutionPolicy Bypass -File \"$env:TEMP\\install.ps1\"\r\n```\r\n\r\nThe install script will:\r\n1. Check and auto-install missing prerequisites (Node.js, gh, Claude Code, Azure CLI)\r\n2. Download the latest release from GitHub\r\n3. Install `brainbotbeta` globally via npm\r\n4. Test Claude API access — start LLM proxy if needed\r\n5. Start the daemon and connect to the gateway\r\n\r\nFor upgrades, run the same command again — it auto-detects the old version, stops the daemon, and installs the new one.\r\n\r\n## Quick Start (Developers)\r\n\r\n```bash\r\n# Install dependencies and build all four packages (shared + CLI + bot-app + local-server)\r\nnpm install\r\nnpm run build\r\n\r\n# Link the CLI globally so `brainbotbeta` is available in your PATH\r\nnpm link\r\n\r\n# Connect to an existing shared gateway (first run opens browser for MSAL auth):\r\nbrainbotbeta start --gateway wss://brain-bot-beta.azurewebsites.net/connect\r\n\r\n# Or self-deploy your own gateway:\r\nbrainbotbeta deploy\r\n\r\n# Then message the bot in Teams!\r\n```\r\n\r\n> **Starting the daemon later** — if auth is cached, `brainbotbeta start` silently refreshes the token, reconnects, and starts the daemon. To also have it come back after a reboot, run `brainbotbeta start --auto-start` once: that opts in to OS login auto-start and sets up + bakes in the LLM proxy so the bot can still reply after boot.\r\n\r\n## CLI Commands\r\n\r\n| Command | Description |\r\n|---------|-------------|\r\n| `brainbotbeta start --gateway ` | First run: discover MSAL config, browser auth, start daemon |\r\n| `brainbotbeta start` | Subsequent runs: silent MSAL refresh, start daemon |\r\n| `brainbotbeta start --auto-start` | Opt in to OS login auto-start; also sets up + starts the LLM proxy and bakes `--proxy` into the boot launcher so the bot still replies after reboot |\r\n| `brainbotbeta start --no-auto-start` | Deprecated no-op (auto-start is opt-in); still accepted so existing boot launchers keep parsing |\r\n| `brainbotbeta start --name ` | Persist a display name for this device (1–64 chars). Shown in the device picker when you run multiple local-servers under one account. |\r\n| `brainbotbeta stop` | Stop the daemon and clean up state |\r\n| `brainbotbeta status` | Show gateway URL, PID, uptime, auth status, proxy status |\r\n| `brainbotbeta logs` | Tail real-time daemon log file |\r\n| `brainbotbeta proxy start` | GitHub device-flow auth, spawn LLM proxy, configure Claude |\r\n| `brainbotbeta proxy stop` | Stop proxy, restore Claude settings |\r\n| `brainbotbeta proxy status` | Show proxy PID, port, health |\r\n| `brainbotbeta proxy logs` | View proxy logs (`-f` for follow, `--err` for stderr) |\r\n| `brainbotbeta service install` | Auto-start `brainbotbeta start` on login (systemd/launchd/Windows Startup) and start it now |\r\n| `brainbotbeta service install --proxy` | Same, and also auto-start the LLM proxy on login |\r\n| `brainbotbeta service uninstall` | Remove auto-start (leaves a running daemon untouched) |\r\n| `brainbotbeta service status` | Show whether auto-start is installed |\r\n| `brainbotbeta deploy` | Self-deploy: provision Azure resources + register Teams app + auto-start |\r\n| `brainbotbeta upgrade` | Upgrade to the latest version from npm (restarts daemon if running) |\r\n| `brainbotbeta deploy --code-only` | Redeploy code only (skip provisioning) |\r\n\r\n> **Auto-start on login** — `brainbotbeta start` registers an OS launcher by default so the daemon reconnects to the gateway automatically after a reboot. It uses a **systemd** user unit on Linux, a **launchd** LaunchAgent on macOS, and a hidden **VBScript** launcher in the Startup folder on Windows. Use `brainbotbeta service install` to manage it explicitly (for example `--proxy`), or remove it with `brainbotbeta service uninstall`.\r\n\r\n## Project Structure\r\n\r\n```\r\nbrain/\r\n├── shared/ # Shared types & utilities (dual CJS/ESM, zero runtime deps)\r\n│ └── src/\r\n│ ├── relay-types.ts # Wire protocol frame types (canonical source)\r\n│ ├── config-types.ts # ClaudeConfig, SkillsConfig, DeepPartial\r\n│ ├── config-defaults.ts # DEFAULT_CLAUDE_CONFIG, DEFAULT_SKILLS_CONFIG\r\n│ ├── deep-merge.ts # deepMerge() — recursive config merge\r\n│ └── expand-tilde.ts # expandTilde() — ~ → homedir in object trees\r\n├── cli/ # CLI tool (runs locally, never deployed)\r\n│ ├── commands/ # start, stop, status, logs, proxy, deploy, upgrade\r\n│ ├── runtime/ # Daemon entry point + child processes\r\n│ │ ├── daemon-entry.ts # Orchestrator: tokens → server → health monitor\r\n│ │ ├── token-refresh.ts # Periodic relay JWT (50min) + Graph token refresh\r\n│ │ ├── server-env.ts # Builds env vars and spawns local-server\r\n│ │ └── llm-proxy/ # LLM proxy (Copilot → Anthropic translation)\r\n│ │ ├── server.ts # HTTP server (localhost:18976)\r\n│ │ ├── converters.ts # Anthropic ↔ OpenAI format conversion\r\n│ │ ├── stream-converter.ts # SSE event translation\r\n│ │ └── token-manager.ts # GitHub → Copilot token exchange\r\n│ ├── lib/ # Shared utilities (MSAL, config, paths)\r\n│ │ ├── msal.ts # MSAL PKCE auth (interactive + silent)\r\n│ │ ├── load-config.ts # BrainConfig read/write\r\n│ │ ├── proxy-lifecycle.ts # LLM proxy start/stop (detached spawn + PID file)\r\n│ │ └── process-utils.ts # isProcessAlive() for daemon health checks\r\n│ └── index.ts # CLI entry point (commander)\r\n├── bot-app/ # Cloud Gateway (deployed to Azure App Service)\r\n│ ├── deploy/ # Self-deploy scripts (Bicep, App Registration, Teams App)\r\n│ └── src/\r\n│ ├── app/app.ts # Teams message handler, image extraction, relay delivery\r\n│ ├── relay/ # WebSocket relay infrastructure\r\n│ │ ├── connect-endpoint.ts # /connect WSS upgrade + /connect/config\r\n│ │ ├── connection-handler.ts # Per-connection lifecycle, heartbeat, frame dispatch\r\n│ │ ├── jwt-validator.ts # Entra ID JWT validation (jose)\r\n│ │ ├── client-registry.ts # OID → connections map (max 5/user)\r\n│ │ ├── reply-context-store.ts# channel_id → ReplyContext (1h TTL, OID-guarded)\r\n│ │ ├── offline-buffer.ts # Message buffer for offline users (100/user, 1h TTL)\r\n│ │ ├── outbound-router.ts # Response/typing/push → Teams delivery\r\n│ │ ├── message-delivery.ts # Inbound message → best connection or buffer\r\n│ │ ├── teams-conversation-store.ts # In-memory conversation refs for push\r\n│ │ ├── client-connection.ts # WebSocket wrapper (serialized sends)\r\n│ │ └── wire-frames.ts # Server-side frame encode/decode\r\n│ ├── config.ts # Environment config\r\n│ └── index.ts # HTTP server entry point\r\n├── local-server/ # Local AI server (runs on your machine)\r\n│ └── src/\r\n│ ├── relay/ # WebSocket client to Gateway\r\n│ │ ├── cloud-channel.ts # WSS client, reconnection, send queue\r\n│ │ ├── html-to-markdown.ts # Teams HTML → Markdown conversion\r\n│ │ └── wire-frames.ts # Client-side frame encode/decode\r\n│ ├── agent/ # Agent backends (Claude SDK + Copilot CLI dispatcher)\r\n│ │ ├── index.ts # processMessage dispatcher + Claude SDK query path (resolveBackend, session resume, streaming)\r\n│ │ ├── copilot-runner.ts # GitHub Copilot CLI driver (spawns `copilot --output-format json`, parses JSONL)\r\n│ │ ├── context.ts # Builds conversation context from DB history\r\n│ │ ├── hooks.ts # PreCompact hook: archive transcripts before compaction (Claude backend only)\r\n│ │ └── system-prompt.ts # NECESSARY + OVERRIDABLE layers, composeSystemPrompt()\r\n│ ├── db/ # SQLite persistence (node:sqlite)\r\n│ │ ├── schema.ts # Tables: messages, sessions, tasks, dirs, images, workspaces\r\n│ │ ├── messages.ts # Message + image CRUD\r\n│ │ ├── sessions.ts # Session persistence\r\n│ │ ├── tasks.ts # Scheduled task CRUD\r\n│ │ ├── state.ts # KV store for router state\r\n│ │ └── directories.ts # Per-session directory CRUD\r\n│ ├── mcp/ # Custom MCP tools for Claude\r\n│ │ ├── push-message.ts # Proactive messaging to Teams\r\n│ │ ├── schedule-task.ts # Schedule recurring/one-shot tasks\r\n│ │ ├── list-tasks.ts # List scheduled tasks\r\n│ │ ├── manage-tasks.ts # Pause, resume, cancel, update tasks\r\n│ │ └── manage-dirs.ts # Add, remove, list per-session directories\r\n│ ├── scheduler/ # Task execution engine\r\n│ │ ├── index.ts # Polling loop (60s, setTimeout chain)\r\n│ │ ├── runner.ts # Execute task → push result to Teams\r\n│ │ └── next-run.ts # Compute next run time (cron/interval/once)\r\n│ ├── index.ts # Message routing, # commands, concurrency pipeline\r\n│ └── graph.ts # Graph API: channels, messages, threads\r\n├── scripts/\r\n│ ├── postinstall.js # Writes package paths to config, installs sub-project deps\r\n│ ├── pack.js # Build distributable .tgz (excludes bot-app)\r\n│ ├── pack-deploy.js # Build deploy-kit .zip for self-host\r\n│ └── install.ps1 # Full Windows installer (auto-installs prerequisites)\r\n├── docs/ # Debug & reference documentation\r\n├── tests/ # Graph API integration tests\r\n├── package.json # Root package: CLI dependencies + build scripts\r\n└── tsconfig.json # Root TypeScript config (CommonJS for CLI)\r\n```\r\n\r\n## Architecture\r\n\r\n### 3-Tier WebSocket Relay\r\n\r\nThe system has three independent tiers connected by a WebSocket relay protocol:\r\n\r\n```\r\nTeams User ──@bot──> Bot Framework Service ──POST──> Cloud Gateway (Azure App Service)\r\n ▲ │ Route by OID\r\n │ reply (Managed Identity) │\r\n └───────────────────────────┤\r\n WSS <┤ /connect (Entra ID JWT)\r\n └──> WSS\r\n User's local-server (runs locally)\r\n```\r\n\r\n1. **Cloud Gateway** (`bot-app/`) — Receives Teams messages, routes by user OID over WebSocket to the correct local-server. Deploys once, shared by all users.\r\n2. **Local AI Server** (`local-server/`) — Runs on the user's machine. Processes messages via the configured agent backend (Claude Agent SDK in-process or `copilot` CLI spawned per turn), sends replies back through the relay.\r\n3. **CLI** (`cli/`) — Manages the local lifecycle: `brainbotbeta start` authenticates via MSAL, starts the daemon (token refresh + local-server auto-respawn), optionally runs the LLM proxy.\r\n\r\n### Four Independent Packages\r\n\r\n| Package | Runs On | Module System | Target | Purpose |\r\n|---------|---------|---------------|--------|---------|\r\n| **shared** | Build-time | Dual CJS/ESM | ESNext | Wire protocol types, config types, pure utilities |\r\n| **cli** | Local machine | CommonJS | ES2022 | CLI commands, daemon, MSAL auth, LLM proxy |\r\n| **bot-app** | Azure App Service | ESM (NodeNext) | ESNext | Teams message routing, WSS relay, offline buffer, push delivery |\r\n| **local-server** | Local machine | ESM (NodeNext) | ESNext | Claude Agent SDK / Copilot CLI dispatcher, SQLite, MCP tools, task scheduler |\r\n\r\n**Isolation rules**: bot-app and local-server never import each other — they share types through `shared/` via `file:` dependency. bot-app must NOT depend on `@anthropic-ai/claude-agent-sdk`. local-server must NOT depend on `@microsoft/teams.*` or `@azure/identity`.\r\n\r\n### WebSocket Protocol\r\n\r\nJSON text frames, snake_case fields, discriminated by `type`. Protocol version: `1`.\r\n\r\n**Server → Client** (Gateway → local-server):\r\n\r\n| Frame | Purpose |\r\n|-------|---------|\r\n| `connected` | Handshake confirmation (`protocol_version`, `buffered_count`) |\r\n| `buffered_start` / `buffered_end` | Marks offline buffer replay boundaries |\r\n| `message` | User message from Teams (`channel_id`, `sender_id`, `content`, `attachments`, `session_key`, ...) |\r\n| `ping` | Heartbeat (every 45s; client must reply `pong` within 15s) |\r\n| `error` | Error notification |\r\n\r\n**Client → Server** (local-server → Gateway):\r\n\r\n| Frame | Purpose |\r\n|-------|---------|\r\n| `pong` | Heartbeat reply |\r\n| `response` | Final reply to a message (consumes ReplyContext) |\r\n| `typing` | Typing indicator (keeps ReplyContext alive) |\r\n| `push` | Proactive message (no ReplyContext needed, routed by `session_key` or most recent conversation) |\r\n| `notification` | Intermediate notification |\r\n| `chunk` | Streaming token chunk (reserved) |\r\n\r\n**Connection lifecycle:**\r\n1. Client opens `WSS /connect` with `Authorization: Bearer {jwt}`\r\n2. Gateway validates JWT, extracts OID, sends `connected`\r\n3. If offline buffer has messages: `buffered_start` → N × `message` → `buffered_end`\r\n4. Steady state: message/response/typing/push exchange\r\n5. Heartbeat: `ping` every 45s, `pong` within 15s or disconnect\r\n\r\n### Message Processing Pipeline\r\n\r\n```\r\nTeams @mention → Bot Framework → Gateway (bot-app)\r\n → OID extraction, image download, MessageFrame creation\r\n → Route by DeviceBindingStore[sessionKey]:\r\n ├─ bound + device online → deliver to bound device\r\n ├─ bound + device offline → buffer for that deviceId\r\n ├─ unbound + 1 device → auto-bind + deliver\r\n ├─ unbound + 2+ devices → post Adaptive Card picker (PendingMessageStore holds msg)\r\n └─ unbound + 0 devices → buffer untargeted (drain to first reconnect)\r\n ↓\r\nlocal-server receives MessageFrame\r\n → Strip @mentions, HTML → Markdown\r\n → Persist images to disk, store message in SQLite\r\n → Process in background:\r\n ├─ withConcurrencyLimit (max 5 parallel)\r\n ├─ withLock (per-conversation mutex)\r\n ├─ withRetry (3 attempts, exponential backoff)\r\n └─ processMessage → resolveBackend(conversationKey)\r\n ├─ claude → @anthropic-ai/claude-agent-sdk query() (in-process, MCP/hooks/sub-agents)\r\n └─ copilot → spawn `copilot --output-format json ...` (per-turn subprocess, JSONL stdout)\r\n → Typing indicators every 3s while the backend works\r\n → Result: sendResponse → Gateway → Teams reply\r\n```\r\n\r\n### Daemon Lifecycle\r\n\r\nWhen you run `brainbotbeta start`, the daemon:\r\n\r\n1. Acquires relay JWT via MSAL (interactive on first run, silent thereafter)\r\n2. Acquires Graph API token via Azure CLI\r\n3. Writes tokens to `~/.brainbotbeta/auth/` (mode `0o600`)\r\n4. Spawns the local-server process with `GATEWAY_URL` + token file paths\r\n5. Starts periodic token refresh (relay JWT + Graph token every 50 min)\r\n6. Monitors local-server health (auto-respawn with exponential backoff, max 5 retries)\r\n7. Writes state to `~/.brainbotbeta/config/state.json`\r\n\r\nOn `brainbotbeta stop`: CLI sends SIGTERM to the daemon PID → daemon stops refresh loops, kills local-server, removes state file.\r\n\r\n### LLM Proxy (Copilot → Anthropic)\r\n\r\nAn optional local HTTP proxy that lets the Claude Agent SDK use GitHub Copilot as its LLM backend:\r\n\r\n```\r\nClaude Agent SDK → POST /v1/messages (Anthropic format)\r\n → LLM Proxy (localhost:18976)\r\n → Convert Anthropic → OpenAI Chat Completions format\r\n → POST api.githubcopilot.com/chat/completions (with Copilot JWT)\r\n → Convert OpenAI → Anthropic format\r\n ← Return to Claude Agent SDK\r\n```\r\n\r\nManaged independently via `brainbotbeta proxy start/stop`. Uses GitHub OAuth device flow for auth. Runs as a detached process tracked by PID file.\r\n\r\n## Security\r\n\r\n### Authentication Chain\r\n\r\nEvery hop is independently authenticated. No link relies on \"being internal\" for security.\r\n\r\n| Hop | Mechanism |\r\n|-----|-----------|\r\n| Teams → Bot Framework | Bot Framework JWT (validated by Teams SDK); bot authenticates via User-Assigned Managed Identity (no secrets) |\r\n| Bot Framework → Gateway | Channel validation: rejects non-`msteams` channels to prevent DirectLine OID spoofing |\r\n| Gateway → local-server | Entra ID JWT validated at WebSocket handshake (JWKS, issuer, audience checks via `jose`) |\r\n| local-server → Gateway | Same JWT (presented at connection time); OID extracted and used for all routing |\r\n| Response routing | ReplyContext OID validation: Gateway only routes responses to the OID that sent the original message |\r\n| Push routing | TeamsConversationStore OID validation: proactive messages only reach conversations owned by the sender's OID |\r\n\r\n### Key Security Properties\r\n\r\n- **Zero secrets**: MSAL PKCE flow with Entra ID JWTs — no client secrets stored anywhere\r\n- **Cross-user isolation**: OID-based routing with validation at every hop\r\n- **Ephemeral tokens**: Relay JWT refreshed every 50 min, Graph token refreshed every 50 min\r\n- **File permissions**: All token files written with `0o600`\r\n- **Dev bypass**: Triple-guarded (`NODE_ENV=development` + `RELAY_BYPASS_TOKEN` non-empty + exact match)\r\n\r\n### Azure App Service Hardening\r\n\r\n- **IP restrictions**: Only `AzureBotService` + `AzureCloud` Service Tags allowed; default deny\r\n- **SCM lockdown**: `scmIpSecurityRestrictionsDefaultAction: Deny` — no public Kudu access\r\n- **HTTPS only**: Enforced at App Service level\r\n- **Managed Identity**: User-Assigned — no client secrets to rotate\r\n\r\n## Multi-Device Routing\r\n\r\nYou can run `local-server` on more than one machine under the same Microsoft 365 account (e.g. work laptop + Cloud PC). Each Teams conversation binds to **one** of those devices; subsequent messages in the same conversation always go to the bound device.\r\n\r\n### How a Teams conversation gets bound\r\n\r\nWhen the first message of a new conversation arrives:\r\n\r\n| Devices online | Behavior |\r\n|---|---|\r\n| 0 | Buffered (`💤 queued`). When the first device reconnects, the message drains to it **and the conversation binds to that device's `deviceId`** |\r\n| 1 | Silent auto-bind to the sole device. No picker. Indistinguishable from single-device use. |\r\n| 2+ | Gateway posts an Adaptive Card listing every online device by name. Original message held in `PendingMessageStore`. User clicks → binding recorded → held message delivered. |\r\n\r\nSubsequent messages in the same conversation always go to the bound device. If the bound device is offline, the message is buffered for that specific `deviceId` and drained when it reconnects.\r\n\r\n### Device identity\r\n\r\n- **`deviceId`**: opaque UUIDv4 persisted at `~/.brainbotbeta/device-id` (mode `0o600`) on first start. Stable across restarts; survives `brainbotbeta upgrade`. Regenerated if the file is missing (e.g. fresh install or wiped `~/.brainbotbeta/`).\r\n- **`deviceName`**: human-readable display string sent in the picker. Resolution order:\r\n 1. `--name ` passed to `brainbotbeta start` (persisted to config)\r\n 2. `BRAIN_DEVICE_NAME` env var\r\n 3. `os.hostname()`\r\n\r\n Display only — never used for routing.\r\n\r\n### Switching devices\r\n\r\nThe only way to (re)bind a conversation to a different device is to start a new Teams conversation with `#new` — switching mid-conversation would orphan the Claude session, SQLite history, and any open workspace state on the original device.\r\n\r\n### Legacy clients (older `local-server` versions)\r\n\r\nA `local-server` build that predates the multi-device feature does not send `x-brain-device-id` / `x-brain-device-name` headers on the WSS upgrade. Such connections are accepted (Gateway generates an ephemeral per-connection UUID and marks the connection `isLegacy = true`), but they are **never** included in the picker and **never** bound. Messages are delivered to legacy connections only when no non-legacy device is online — MRU by last pong. Upgrade `local-server` to participate in routing.\r\n\r\n## Local Server Features\r\n\r\n### Agent Backends\r\n\r\nThe local server drives **one of two agent backends per conversation**. Both return the same `AgentResult`, so the rest of the pipeline (typing indicators, `sendResponse`, push notifications, session persistence in SQLite) is unchanged.\r\n\r\n- **`claude` (default)** — `@anthropic-ai/claude-agent-sdk` in-process. Full MCP servers, PreCompact hooks, Agent Teams sub-agent orchestration, additional directories, session resume.\r\n- **`copilot`** — Spawns `copilot --output-format json --allow-all -s ...` per turn (`@github/copilot` npm package, separate binary). Prompt via stdin (avoids Windows arg-length limits); JSONL stdout parsed for `assistant.message_delta` (buffered into the final reply) and `result` (session id persisted for `--resume` next turn). Trades the MCP / hooks / sub-agents extension surface for Copilot's fully managed agent loop and Copilot-side model routing.\r\n\r\n**Resolution order** (per call): per-conversation `router_state['backend:']` → global `router_state['global:defaultBackend']` → `config.claude.backend` → fallback `'claude'`. Switch with `#backend` (per-conversation) or `#default-backend` (global). Switching backends clears the persisted session id because Claude and Copilot session IDs are not interchangeable.\r\n\r\n**Binary resolution** (Copilot only): `COPILOT_CLI_PATH` env var wins; otherwise PATH-based lookup, cached for process lifetime. 15-minute per-turn timeout.\r\n\r\n### Claude Agent SDK Capabilities (`claude` backend)\r\n\r\nWhen `backend = 'claude'`, the agent has access to:\r\n\r\n- **Full tool access**: File I/O (Read, Write, Edit), Bash, Glob, Grep, WebSearch, WebFetch, NotebookEdit, and more\r\n- **Agent Teams**: Sub-agent orchestration for parallel work (Task, TaskOutput, SendMessage, etc.)\r\n- **Session persistence**: Sessions are stored in SQLite and resumed across server restarts\r\n- **Conversation context**: History built from stored messages in the database\r\n- **Transcript archiving**: PreCompact hooks archive transcripts to markdown before context compaction\r\n- **Per-workspace isolation**: Each conversation gets its own working directory\r\n\r\n### Copilot CLI Capabilities (`copilot` backend)\r\n\r\nWhen `backend = 'copilot'`, the agent has access to Copilot's built-in tool set (file edits, shell, web fetch, the bundled `github-mcp-server`, etc.) and Copilot-side model routing. The custom MCP servers, PreCompact hooks, and Agent Teams sub-agents from the Claude backend are **not** available in this mode. Image attachments are forwarded via `--attachment `; session resume uses `--resume ` and the `result` event's session id, persisted in the same `sessions` table.\r\n\r\n### Custom MCP Tools\r\n\r\n| Tool | Description |\r\n|------|-------------|\r\n| `push_message` | Send proactive messages to any Teams conversation |\r\n| `schedule_task` | Create scheduled tasks (cron/interval/once, local timezone) |\r\n| `list_tasks` | View all scheduled tasks for the current conversation |\r\n| `pause_task` / `resume_task` / `cancel_task` / `update_task` | Full task lifecycle management |\r\n| `add_dir` / `remove_dir` / `list_dirs` | Manage per-session directories for the Claude agent |\r\n\r\n### Task Scheduler\r\n\r\nThe scheduler runs a polling loop (60-second interval, `setTimeout` chain) that:\r\n\r\n- Finds due tasks from SQLite\r\n- Executes them through the same Claude Agent SDK pipeline (with concurrency limits)\r\n- Pushes results to Teams via the push mechanism\r\n- Logs execution details to `task_run_logs`\r\n- Supports cron expressions, fixed intervals (minutes), and one-shot execution\r\n- Tasks can run in conversation context (shared session) or isolated (fresh session each time)\r\n\r\n### SQLite Database\r\n\r\nAll persistent data lives in `~/.brainbotbeta/data/brain.db`:\r\n\r\n| Table | Purpose |\r\n|-------|---------|\r\n| `messages` | Conversation history (keyed by activity ID) |\r\n| `message_images` | Image attachments linked to messages |\r\n| `sessions` | Agent session IDs for resume (one row per conversation; stores either a Claude SDK session ID or a Copilot CLI session ID depending on the active backend at write time) |\r\n| `scheduled_tasks` | Task definitions with schedule, status, and next run time |\r\n| `task_run_logs` | Execution history for each task run |\r\n| `router_state` | KV store for serviceUrl persistence, agent timestamps, default workspace |\r\n| `session_directories` | Per-session additional directories |\r\n| `workspace_overrides` | Per-conversation cwd override |\r\n\r\n### Special Commands\r\n\r\n| Command | Description |\r\n|---------|-------------|\r\n| `#new [topic]` | Create a dedicated Teams channel for conversation isolation |\r\n| `#add-dir ` | Register an additional directory for Claude (takes effect next message) |\r\n| `#remove-dir ` | Unregister a directory |\r\n| `#list-dirs` | Show all active directories for this session |\r\n| `#workspace ` | Set per-conversation working directory |\r\n| `#default-workspace ` | Set global default working directory |\r\n| `#list-sessions [\\|next\\|prev]` | List Claude sessions in this workspace (40/page). If [AgentLink](https://github.com/yilee/agentlink) is running locally, each row also gets an `[open]` link into AgentLink's web UI for that exact session. |\r\n| `#session ` | Resume the Nth session from the most recent `#list-sessions` page |\r\n| `#system-prompt [prompt]` | Override the per-conversation system prompt (no arg clears). Overrides only the style/guidelines layer; identity and tool knowledge are preserved. |\r\n| `#default-system-prompt ` | Replace the global default overridable layer |\r\n| `#reset-system-prompt` | Restore the built-in default overridable layer |\r\n| `#backend [claude\\|copilot\\|reset]` | Show / switch the agent backend for this conversation (`reset` clears the override). Switching clears the persisted session id. |\r\n| `#default-backend [claude\\|copilot]` | Show / set / clear the global default agent backend (no arg clears it; falls back to `config.claude.backend`, default `claude`). |\r\n\r\n### Memory System (3-Layer)\r\n\r\n1. **Per-conversation** (`CLAUDE.md` in workspace dir) — auto-discovered by SDK, seeded on first use\r\n2. **Global** (`~/.brainbotbeta/global/CLAUDE.md`) — shared across all conversations\r\n3. **Auto-memory** — SDK-managed automatic pattern extraction\r\n\r\nPlus `history.md` (auto-generated session summaries) and full transcript archives in `conversations/`.\r\n\r\n### BrainCore Integration (Local HTTP API)\r\n\r\nThe local-server exposes a REST endpoint for external tools (e.g. BrainCore) to proactively push messages to Teams channels.\r\n\r\n**Discovery**: on startup, the local-server writes `~/.brainbotbeta/local-server.json`:\r\n\r\n```json\r\n{\r\n \"host\": \"127.0.0.1\",\r\n \"port\": 3978,\r\n \"pid\": 12345,\r\n \"tokenPath\": \"C:\\\\Users\\\\you\\\\.brainbotbeta\\\\api-token\"\r\n}\r\n```\r\n\r\n**Usage**:\r\n\r\n1. Read `~/.brainbotbeta/local-server.json` to discover host, port, and token path\r\n2. Read the file at `tokenPath` to get the bearer token\r\n3. Call the API:\r\n\r\n```bash\r\ncurl -X POST http://127.0.0.1:3978/api/push \\\r\n -H \"Authorization: Bearer $(cat ~/.brainbotbeta/api-token)\" \\\r\n -H \"Content-Type: application/json\" \\\r\n -d '{\r\n \"content\": \"Hello from BrainCore!\",\r\n \"targetChannelId\": \"19:xxx@thread.tacv2\",\r\n \"conversationKey\": \"cloud_teams:oid:...\",\r\n \"threadId\": \"1781062301786\",\r\n \"sessionId\": \"uuid\",\r\n \"workspace\": \"D:\\\\my-project\",\r\n \"format\": \"markdown\"\r\n }'\r\n```\r\n\r\n**Response**: `202 Accepted` — message is queued in the send buffer, not confirmed delivered.\r\n\r\n**Security** (3 layers):\r\n- **Loopback-only**: rejects non-`127.0.0.1`/`::1` requests (403)\r\n- **Bearer token**: auto-generated at `~/.brainbotbeta/api-token` (mode `0600`), required via `Authorization` header (401)\r\n- **Origin check**: rejects requests with an `Origin` header to block browser CSRF (403)\r\n\r\n## Runtime Data\r\n\r\nAll runtime data lives under `~/.brainbotbeta/`:\r\n\r\n| Path | Purpose |\r\n|------|---------|\r\n| `config/config.json` | Gateway URL, MSAL params, team ID, claude/skills config |\r\n| `config/state.json` | Running daemon state (PID, uptime, auth status, server status) |\r\n| `config/proxy-state.json` | LLM proxy state (PID, port) |\r\n| `auth/relay-token` | Entra ID JWT for gateway auth (0o600) |\r\n| `auth/graph-token` | Graph API access token (0o600) |\r\n| `auth/github-token` | GitHub PAT for LLM proxy (0o600) |\r\n| `auth/token_cache_*.json` | MSAL token cache (0o600) |\r\n| `api-token` | Bearer token for local HTTP API (0o600, auto-generated) |\r\n| `local-server.json` | Discovery file for BrainCore: host, port, pid, tokenPath (0o600) |\r\n| `data/brain.db` | SQLite database |\r\n| `global/CLAUDE.md` | Global memory shared across conversations |\r\n| `global/system-prompt.md` | System prompt (user-editable) |\r\n| `data/workspace//` | Per-conversation workspaces |\r\n| `logs/` | Daemon + proxy logs (out.log, err.log) |\r\n| `deploy/provision.json` | Self-deploy output (app name, domain, client IDs) |\r\n\r\n## Development\r\n\r\n### Build\r\n\r\n```bash\r\n# Build everything (shared → CLI → bot-app → local-server)\r\nnpm run build\r\n\r\n# Watch mode for CLI development\r\nnpm run dev\r\n\r\n# Build individual packages\r\ncd shared && npm run build\r\ncd bot-app && npm run build\r\ncd local-server && npm run build\r\n```\r\n\r\n### Test\r\n\r\n```bash\r\n# Run local-server tests (vitest)\r\nnpm test\r\n\r\n# Watch mode\r\ncd local-server && npm run test:watch\r\n\r\n# Coverage\r\ncd local-server && npm run test:coverage\r\n```\r\n\r\n### Packaging\r\n\r\n```bash\r\n# Build distributable .tgz (excludes bot-app, for end users)\r\nnpm run pack:dist\r\n\r\n# Build deploy-kit .zip (bot-app + shared, for self-host)\r\nnpm run pack:deploy\r\n```\r\n\r\n### Module Systems\r\n\r\n| Package | Module | Target | Notes |\r\n|---------|--------|--------|-------|\r\n| **shared** | Dual CJS/ESM | ESNext | Conditional exports: import → ESM, require → CJS |\r\n| **Root / CLI** | CommonJS | ES2022 | |\r\n| **bot-app** | NodeNext (ESM) | ESNext | `.js` extensions in imports |\r\n| **local-server** | NodeNext (ESM) | ESNext | `.js` extensions in imports |\r\n\r\n## Design Principles\r\n\r\n1. **3-tier WebSocket relay**: Cloud Gateway is a thin message router — no AI logic, no tunnel dependencies. Local-server connects outbound, works behind any NAT/firewall.\r\n\r\n2. **Strict runtime isolation**: bot-app and local-server share no code, no dependencies, and never import each other. Types flow through `shared/` only.\r\n\r\n3. **Owner-only by design**: This is a personal assistant, not a multi-tenant service. Every message is validated against the owner's Entra OID.\r\n\r\n4. **Defense in depth**: Every hop is independently authenticated — Managed Identity for Bot Framework, JWT for WebSocket relay, OID validation for routing. Zero secrets stored.\r\n\r\n5. **Local-first AI**: All AI processing stays on your machine. The cloud Gateway is a thin message router. Your data, tools, and file system remain under your control.\r\n\r\n6. **No silent failures**: Every error must leave a trace. Empty `catch {}` blocks are not permitted.\r\n\r\n7. **Session continuity**: Both agent backends (Claude SDK and Copilot CLI) persist session IDs to SQLite so conversations survive server restarts. Offline messages are buffered by the Gateway and replayed on reconnect.\r\n\r\n8. **Deterministic naming**: Azure resource names are derived from the user's alias (`brain-beta-{alias}`), making them predictable and idempotent.\r\n\r\n## Uninstall\r\n\r\n```bash\r\n# 1. Stop the daemon\r\nbrainbotbeta stop\r\n\r\n# 2. Stop the LLM proxy (if running)\r\nbrainbotbeta proxy stop\r\n\r\n# 3. Remove the global CLI link\r\nnpm unlink -g brain\r\n\r\n# 4. Delete all runtime data\r\nrm -rf ~/.brainbotbeta\r\n\r\n# 5. (Optional) Delete Azure resources created by deploy\r\naz group delete --name --yes\r\n```\r\n","readmeFilename":"README.md"}