cli
The LobeHub CLI (`@lobehub/cli`) is a command-line tool for managing LobeHub services, built with Commander.js and TypeScript. Use it to perform operations like agent CRUD, knowledge base management, authentication, device gateway connection, and AI model interactions, supporting commands like `lh agent run`, `lobe config whoami`, and `lobehub login` with encrypted credential storage and token auto-refresh capabilities.
git clone --depth 1 https://github.com/lobehub/lobehub /tmp/cli && cp -r /tmp/cli/.agents/skills/cli ~/.claude/skills/cliSKILL.md
# LobeHub CLI Development Guide
## Overview
LobeHub CLI (`@lobehub/cli`) is a command-line tool for managing and interacting with LobeHub services. Built with Commander.js + TypeScript.
- **Package**: `apps/cli/`
- **Entry**: `apps/cli/src/index.ts`
- **Binaries**: `lh`, `lobe`, `lobehub` (all aliases for the same CLI)
- **Build**: tsup
- **Runtime**: Node.js / Bun
## Architecture
```
apps/cli/src/
├── index.ts # Entry point, registers all commands
├── api/
│ ├── client.ts # tRPC client (type-safe backend API)
│ └── http.ts # Raw HTTP utilities
├── auth/
│ ├── credentials.ts # Encrypted credential storage (AES-256-GCM)
│ ├── refresh.ts # Token auto-refresh
│ └── resolveToken.ts # Token resolution (flag > stored)
├── commands/ # All CLI commands (one file per command group)
│ ├── agent.ts # Agent CRUD + run
│ ├── config.ts # whoami, usage
│ ├── connect.ts # Device gateway connection + daemon
│ ├── doc.ts # Document management
│ ├── file.ts # File management
│ ├── generate/ # Content generation (text/image/video/tts/asr)
│ ├── kb.ts # Knowledge base management
│ ├── login.ts # OIDC Device Code Flow auth
│ ├── logout.ts # Clear credentials
│ ├── memory.ts # User memory management
│ ├── message.ts # Message management
│ ├── model.ts # AI model management
│ ├── plugin.ts # Plugin management
│ ├── provider.ts # AI provider management
│ ├── search.ts # Global search
│ ├── skill.ts # Agent skill management
│ ├── status.ts # Gateway connectivity check
│ └── topic.ts # Conversation topic management
├── daemon/
│ └── manager.ts # Background daemon process management
├── tools/
│ ├── shell.ts # Shell command execution (for gateway)
│ └── file.ts # File operations (for gateway)
├── settings/
│ └── index.ts # Persistent settings (~/.lobehub/)
├── utils/
│ ├── logger.ts # Logging (verbose mode)
│ ├── format.ts # Table output, JSON, timeAgo, truncate
│ └── agentStream.ts # SSE streaming for agent runs
└── constants/
└── urls.ts # Official server & gateway URLs
```
## Command Groups
| Command | Alias | Description |
| ------------- | ----- | ----------------------------------------------------------- |
| `lh login` | - | Authenticate via OIDC Device Code Flow |
| `lh logout` | - | Clear stored credentials |
| `lh connect` | - | Device gateway connection & daemon management |
| `lh status` | - | Quick gateway connectivity check |
| `lh agent` | - | Agent CRUD, run, status |
| `lh generate` | `gen` | Content generation (text, image, video, tts, asr, download) |
| `lh doc` | - | Document CRUD, batch-create, parse, topic linking |
| `lh file` | - | File list, view, delete, recent |
| `lh kb` | - | Knowledge base CRUD, folders, docs, upload, tree view |
| `lh memory` | - | User memory CRUD + extraction |
| `lh message` | - | Message list, search, delete, count, heatmap |
| `lh topic` | - | Topic CRUD + search + recent |
| `lh skill` | - | Skill CRUD + import (GitHub/URL/market) |
| `lh model` | - | Model CRUD, toggle, batch-toggle, clear |
| `lh provider` | - | Provider CRUD, config, test, toggle |
| `lh plugin` | - | Plugin install, uninstall, update |
| `lh search` | - | Global search across all types |
| `lh whoami` | - | Current user info |
| `lh usage` | - | Monthly/daily usage statistics |
## Adding a New Command
### 1. Create Command File
Create `apps/cli/src/commands/<name>.ts`:
```typescript
import type { Command } from 'commander';
import { getTrpcClient } from '../api/client';
import { outputJson, printTable, truncate } from '../utils/format';
export function register<Name>Command(program: Command) {
const cmd = program.command('<name>').description('...');
// Subcommands
cmd
.command('list')
.description('List items')
.option('-L, --limit <n>', 'Maximum number of items', '30')
.option('--json [fields]', 'Output JSON, optionally specify fields')
.action(async (options) => {
const client = await getTrpcClient();
const result = await client.<router>.<procedure>.query({ ... });
// Handle output
});
}
```
### 2. Register in Entry Point
In `apps/cli/src/index.ts`:
```typescript
import { registerNewCommand } from './commands/new';
// ...
registerNewCommand(program);
```
### 3. Add Tests
Create `apps/cli/src/commands/<name>.test.ts` alongside the command file.
## Conventions
### Output Patterns
All list/view commands follow consistent patterns:
- `--json [fields]` - JSON output with optional field filtering
- `--yes` - Skip confirmation for destructive ops
- `-L, --limit <n>` - Pagination limit (default: 30)
- `-v, --verbose` - Verbose logging
### Table Output
```typescript
const rows = items.map((item) => [item.id, truncate(item.title, 40), timeAgo(item.updatedAt)]);
printTable(rows, ['ID', 'TITLE', 'UPDATED']);
```
### JSON Output
```typescript
if (options.json !== undefined) {
const fields = typeof options.json === 'string' ? options.json : undefined;
outputJsoAdd documentation for a new AI provider — usage docs, env vars, Docker config, image resources.
Add server-side environment variables that control default values for user settings.
Agent runtime lifecycle hooks. Use for before/after tool or step hooks, tool mocks, human intervention, sub-agent calls, context compression, evals, tracing, callAgent, or lifecycle events.
Build or extend LobeHub Agent Signal pipelines. Use for signal sources, signal/action types, policies, middleware, workflow handoff, dedupe, scope behavior, or observability.
Agent tracing CLI for execution snapshots. Use for agent-tracing, traces, snapshots, LLM call inspection, context engine data, agent step analysis, or execution debugging.
Build LobeHub builtin tool packages. Use when adding agent-callable tools, manifests, executors, runtimes, inspectors, renders, placeholders, streaming, interventions, portals, or tool registries.
Build multi-platform chat bots with the chat SDK. Use for Slack, Teams, Google Chat, Discord, GitHub, Linear bots, webhooks, mentions, slash commands, cards, modals, or streaming responses.
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