Files
hapi/cli/src/runner

HAPI CLI Runner: Control Flow and Lifecycle

The runner is a persistent background process that manages HAPI sessions, enables remote control from the mobile app, and handles auto-updates when the CLI version changes.

1. Runner Lifecycle

Starting the Runner

Command: hapi runner start

Control Flow:

  1. src/index.ts receives runner start command
  2. Spawns detached process via spawnHappyCLI(['runner', 'start-sync'], { detached: true })
  3. New process calls startRunner() from src/runner/run.ts
  4. startRunner() performs startup:
    • Sets up shutdown promise and handlers (SIGINT, SIGTERM, uncaughtException, unhandledRejection)
    • Version check: isRunnerRunningCurrentlyInstalledHappyVersion() compares CLI binary mtime
    • If version mismatch: calls stopRunner() to kill old runner before proceeding
    • If same version running: exits with "Runner already running"
    • Lock acquisition: acquireRunnerLock() creates exclusive lock file to prevent multiple runners
    • Direct-connect setup: authAndSetupMachineIfNeeded() ensures CLI_API_TOKEN is set and machineId exists
    • State persistence: writes PID, version, HTTP port, mtime to runner.state.json
    • HTTP server: starts Fastify on random port for local CLI control (list, stop, spawn)
    • WebSocket: establishes persistent connection to backend via ApiMachineClient
    • RPC registration: exposes spawn-happy-session, stop-session, stop-runner handlers
    • Heartbeat loop: every 60s (or HAPI_RUNNER_HEARTBEAT_INTERVAL) checks for version updates, prunes dead sessions, verifies PID ownership
  5. Awaits shutdown promise which resolves when:
    • OS signal received (SIGINT/SIGTERM) - source: os-signal
    • HTTP /stop endpoint called - source: hapi-cli
    • RPC stop-runner invoked - source: hapi-app
    • Uncaught exception occurs - source: exception
  6. On shutdown, cleanupAndShutdown() performs:
    • Clears heartbeat interval
    • Updates runner state to "shutting-down" on backend with shutdown source
    • Disconnects WebSocket
    • Stops HTTP server
    • Deletes runner.state.json
    • Releases lock file
    • Exits process

Version Detection & Auto-Update

The runner detects when CLI binary changes (e.g., after npm upgrade hapi):

  1. At startup, records startedWithCliMtimeMs (file modification time of CLI binary)
  2. Heartbeat compares current CLI mtime with recorded mtime via getInstalledCliMtimeMs()
  3. If mtime changed:
    • Clears heartbeat interval
    • Spawns new runner via spawnHappyCLI(['runner', 'start'])
    • Waits 10 seconds to be killed by new runner
  4. New runner starts, sees old runner running with different mtime
  5. New runner calls stopRunner() which tries HTTP /stop, falls back to SIGKILL
  6. New runner takes over

Heartbeat System

Every 60 seconds (configurable via HAPI_RUNNER_HEARTBEAT_INTERVAL):

  1. Guard: Skips if previous heartbeat still running (prevents concurrent heartbeats)
  2. Session Pruning: Checks each tracked PID with isProcessAlive(pid), removes dead sessions
  3. Version Check: Compares CLI binary mtime, triggers self-restart if changed
  4. PID Ownership: Verifies runner still owns state file, self-terminates if another runner took over
  5. State Update: Writes lastHeartbeat timestamp to runner.state.json

Stopping the Runner

Command: hapi runner stop

Control Flow:

  1. stopRunner() in controlClient.ts reads runner.state.json
  2. Attempts graceful shutdown via HTTP POST to /stop
  3. Runner receives request, triggers shutdown with source hapi-cli
  4. cleanupAndShutdown() executes:
    • Updates backend status to "shutting-down"
    • Closes WebSocket connection
    • Stops HTTP server
    • Deletes runner.state.json
    • Releases lock file
  5. If HTTP fails, falls back to killProcess(pid, true) (uses taskkill /T /F on Windows)

2. Multi-Agent Support

The runner supports spawning sessions with different AI agents:

Agent Command Token Environment
claude (default) hapi claude CLAUDE_CODE_OAUTH_TOKEN
codex hapi codex CODEX_HOME (temp directory with auth.json)
gemini hapi gemini -
opencode hapi opencode OpenCode config (no token injection)

Token Authentication

When spawning a session with a token:

  • Claude: Sets CLAUDE_CODE_OAUTH_TOKEN environment variable
  • Codex: Creates temp directory at os.tmpdir()/hapi-codex-*, writes token to auth.json, sets CODEX_HOME
  • OpenCode: No token injection; relies on OpenCode's own configuration

3. Session Management

Runner-Spawned Sessions (Remote)

Initiated by mobile app via backend RPC:

  1. Backend forwards RPC spawn-happy-session to runner via WebSocket
  2. ApiMachineClient invokes spawnSession() handler
  3. spawnSession():
    • Validates/creates directory (with approval flow)
    • Configures agent-specific token environment
    • Spawns detached HAPI process with --hapi-starting-mode remote --started-by runner
    • Adds to pidToTrackedSession map
    • Sets up 15-second awaiter for session webhook
  4. New HAPI process:
    • Creates session with backend, receives happySessionId
    • Calls notifyRunnerSessionStarted() to POST to runner's /session-started
  5. Runner updates tracking with happySessionId, resolves awaiter
  6. RPC returns session info to mobile app

Terminal-Spawned Sessions

User runs hapi directly:

  1. CLI auto-starts runner if configured
  2. HAPI process calls notifyRunnerSessionStarted()
  3. Runner receives webhook, creates TrackedSession with startedBy: 'hapi directly - likely by user from terminal'
  4. Session tracked for health monitoring

Directory Creation Approval

When spawning a session, directory handling:

  1. Check if directory exists with fs.access()
  2. If missing and approvedNewDirectoryCreation = false: returns requestToApproveDirectoryCreation (HTTP 409)
  3. If missing and approved: creates directory with fs.mkdir({ recursive: true })
  4. Error handling for directory creation:
    • EACCES: Permission denied
    • ENOTDIR: File exists at path
    • ENOSPC: Disk full
    • EROFS: Read-only filesystem

Session Termination

Via RPC stop-session or HTTP /stop-session:

  1. stopSession() finds session by happySessionId or PID-{pid} format
  2. Sends termination request via killProcessByChildProcess() or killProcess() (Windows uses taskkill /T)
  3. on('exit') handler removes from tracking map

4. HTTP Control Server (Fastify)

Local HTTP server using Fastify with fastify-type-provider-zod for type-safe request/response validation.

Host: 127.0.0.1 (localhost only) Port: Dynamic (system-assigned)

Endpoints

POST /session-started

Session webhook - reports itself after creation.

Request:

{ "sessionId": "string", "metadata": { ... } }

Response (200):

{ "status": "ok" }

POST /list

Returns all tracked sessions.

Response (200):

{
  "children": [
    { "startedBy": "runner", "happySessionId": "uuid", "pid": 12345 }
  ]
}

POST /stop-session

Terminates a specific session.

Request:

{ "sessionId": "string" }

Response (200):

{ "success": true }

POST /spawn-session

Creates a new session.

Request:

{ "directory": "/path/to/dir", "sessionId": "optional-uuid" }

Response (200) - Success:

{
  "success": true,
  "sessionId": "uuid",
  "approvedNewDirectoryCreation": true
}

Response (409) - Requires Approval:

{
  "success": false,
  "requiresUserApproval": true,
  "actionRequired": "CREATE_DIRECTORY",
  "directory": "/path/to/dir"
}

Response (500) - Error:

{ "success": false, "error": "Error message" }

POST /stop

Graceful runner shutdown.

Response (200):

{ "status": "stopping" }

5. State Persistence

runner.state.json

{
  "pid": 12345,
  "httpPort": 50097,
  "startTime": "8/24/2025, 6:46:22 PM",
  "startedWithCliVersion": "0.9.0-6",
  "startedWithCliMtimeMs": 1724531182000,
  "lastHeartbeat": "8/24/2025, 6:47:22 PM",
  "runnerLogPath": "/path/to/runner.log"
}

Lock File

  • Created with O_EXCL flag for atomic acquisition
  • Contains PID for debugging
  • Prevents multiple runner instances
  • Cleaned up on graceful shutdown

6. WebSocket Communication

ApiMachineClient handles bidirectional communication:

Runner to Server:

  • machine-alive - 20-second heartbeat
  • machine-update-metadata - static machine info changes
  • machine-update-state - runner status changes

Server to Runner:

  • rpc-request with methods:
    • spawn-happy-session - spawn new session
    • stop-session - stop session by ID
    • stop-runner - request shutdown

All data is plain JSON over TLS; authentication is CLI_API_TOKEN (no end-to-end encryption).

7. Process Discovery and Cleanup

Doctor Command

hapi doctor uses ps aux | grep to find all HAPI processes:

  • Production: matches hapi binary, happy-coder
  • Development: matches src/index.ts (run via bun)
  • Categorizes by command args: runner, runner-spawned, user-session, doctor

Clean Runaway Processes

hapi doctor clean:

  1. findRunawayHappyProcesses() filters for likely orphans
  2. killRunawayHappyProcesses():
    • Sends SIGTERM
    • Waits 1 second
    • Sends SIGKILL if still alive

8. Integration Testing

Test Environment

  • Requires .env.integration-test
  • Uses local hapi-hub (http://localhost:3006)
  • Separate ~/.hapi-dev-test home directory

Key Test Scenarios

  • Session listing, spawning, stopping
  • External session webhook tracking
  • Graceful SIGTERM/SIGKILL shutdown
  • Multiple runner prevention
  • Version mismatch detection
  • Directory creation approval flow
  • Concurrent session stress tests

Machine Sync Architecture - Separated Metadata & Runner State

Direct-connect note: the "hub" is hapi-hub, payloads are plain JSON (no base64/encryption), and authentication uses CLI_API_TOKEN (REST Authorization: Bearer ... + Socket.IO handshake.auth.token).

Data Structure (Similar to Session's metadata + agentState)

// Static machine information (rarely changes)
interface MachineMetadata {
  host: string;              // hostname
  platform: string;          // darwin, linux, win32
  happyCliVersion: string;
  homeDir: string;
  happyHomeDir: string;
  happyLibDir: string;       // runtime path
}

// Dynamic runner state (frequently updated)
interface RunnerState {
  status: 'running' | 'shutting-down' | 'offline';
  pid?: number;
  httpPort?: number;
  startedAt?: number;
  shutdownRequestedAt?: number;
  shutdownSource?: 'hapi-app' | 'hapi-cli' | 'os-signal' | 'exception';
}

1. CLI Startup Phase

Checks if machine ID exists in settings:

  • If not: creates ID locally only (so sessions can reference it)
  • Does NOT create machine on hub - that's runner's job
  • CLI doesn't manage machine details - all API & schema live in runner subpackage

2. Runner Startup - Initial Registration

REST Request: POST /cli/machines

{
  "id": "machine-uuid-123",
  "metadata": {
    "host": "MacBook-Pro.local",
    "platform": "darwin",
    "happyCliVersion": "1.0.0",
    "homeDir": "/Users/john",
    "happyHomeDir": "/Users/john/.hapi",
    "happyLibDir": "/usr/local/lib/node_modules/hapi"
  },
  "runnerState": {
    "status": "running",
    "pid": 12345,
    "httpPort": 8080,
    "startedAt": 1703001234567
  }
}

Server Response:

{
  "machine": {
    "id": "machine-uuid-123",
    "metadata": { "host": "...", "platform": "...", "happyCliVersion": "..." },
    "metadataVersion": 1,
    "runnerState": { "status": "running", "pid": 12345 },
    "runnerStateVersion": 1,
    "active": true,
    "activeAt": 1703001234567,
    "createdAt": 1703001234567,
    "updatedAt": 1703001234567
  }
}

3. WebSocket Connection & Real-time Updates

Connection Handshake:

io(`${botUrl}/cli`, {
  auth: {
    token: "CLI_API_TOKEN",
    clientType: "machine-scoped",
    machineId: "machine-uuid-123"
  },
  path: "/socket.io/",
  transports: ["websocket"]
})

Heartbeat (every 20s):

// Client -> Server
socket.emit('machine-alive', {
  "machineId": "machine-uuid-123",
  "time": 1703001234567
})

4. Runner State Updates (via WebSocket)

When runner status changes:

// Client -> Server
socket.emit('machine-update-state', {
  "machineId": "machine-uuid-123",
  "runnerState": {
    "status": "shutting-down",
    "pid": 12345,
    "httpPort": 8080,
    "startedAt": 1703001234567,
    "shutdownRequestedAt": 1703001244567,
    "shutdownSource": "hapi-app"
  },
  "expectedVersion": 1
}, callback)

// Server -> Client (callback)
// Success:
{
  "result": "success",
  "version": 2,
  "runnerState": { "status": "shutting-down" }
}

// Version mismatch:
{
  "result": "version-mismatch",
  "version": 3,
  "runnerState": { "status": "running" }
}

Machine metadata update (rare):

// Client -> Server
socket.emit('machine-update-metadata', {
  "machineId": "machine-uuid-123",
  "metadata": {
    "host": "MacBook-Pro.local",
    "platform": "darwin",
    "happyCliVersion": "1.0.1",
    "homeDir": "/Users/john",
    "happyHomeDir": "/Users/john/.hapi"
  },
  "expectedVersion": 1
}, callback)

5. Mini App RPC Calls (via hapi-hub)

The Telegram Mini App calls REST endpoints on hapi-hub (for example POST /api/machines/:id/spawn). hapi-hub then relays those requests to the runner via Socket.IO rpc-request on the /cli namespace.

RPC method naming (machine-scoped) uses a ${machineId}: prefix, for example:

  • ${machineId}:spawn-happy-session

6. Server Broadcasts to Clients

When runner state changes:

// Server -> Mobile/Web clients
socket.emit('update', {
  "id": "update-id-xyz",
  "seq": 456,
  "body": {
    "t": "update-machine",
    "machineId": "machine-uuid-123",
    "runnerState": {
      "value": { "status": "shutting-down" },
      "version": 2
    }
  },
  "createdAt": 1703001244567
})

When metadata changes:

socket.emit('update', {
  "id": "update-id-abc",
  "seq": 457,
  "body": {
    "t": "update-machine",
    "machineId": "machine-uuid-123",
    "metadata": {
      "value": { "host": "MacBook-Pro.local" },
      "version": 2
    }
  },
  "createdAt": 1703001244567
})

7. GET Machine Status (REST)

Request: GET /cli/machines/machine-uuid-123

Authorization: Bearer <CLI_API_TOKEN>

Response:

{
  "machine": {
    "id": "machine-uuid-123",
    "metadata": { "host": "...", "platform": "...", "happyCliVersion": "..." },
    "metadataVersion": 2,
    "runnerState": { "status": "running", "pid": 12345 },
    "runnerStateVersion": 3,
    "active": true,
    "activeAt": 1703001244567,
    "createdAt": 1703001234567,
    "updatedAt": 1703001244567
  }
}

Key Design Decisions

  1. Separation of Concerns:

    • metadata: Static machine info (host, platform, versions)
    • runnerState: Dynamic runtime state (status, pid, ports)
  2. Independent Versioning:

    • metadataVersion: For machine metadata updates
    • runnerStateVersion: For runner state updates
    • Allows concurrent updates without conflicts
  3. Security: No end-to-end encryption (TLS only); CLI auth is a shared secret CLI_API_TOKEN

  4. Update Events: Server broadcasts use same pattern as sessions:

    • t: 'update-machine' with optional metadata and/or runnerState fields
    • Clients only receive updates for fields that changed
  5. RPC Pattern: Machine-scoped RPC methods prefixed with machineId (like sessions)


Improvements

  • runner.state.json file is getting hard removed when runner exits or is stopped. We should keep it around and have 'state' field and 'stateReason' field that will explain why the runner is in that state

  • If the file is not found - we assume the runner was never started or was cleaned out by the user or doctor

  • If the file is found and corrupted - we should try to upgrade it to the latest version? or simply remove it if we have write access

  • posts helpers for runner do not return typed results

  • I don't like that runnerPost returns either response from runner or { error: ... }. We should have consistent envelope type

  • we loose track of children processes when runner exits / restarts - we should write them to the same state file? At least the pids should be there for doctor & cleanup

  • the runner control server binds to 127.0.0.1 on a random port; if we ever expose it beyond localhost, require an explicit auth token/header