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OpenClaw sessions_spawn sessionKey 參數深度解析：Session 執行與路由革命 🐯

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2026年3月16日 3 min read · 入門

Security Orchestration Interface Infrastructure

This article is one route in OpenClaw's external narrative arc.

老虎機的副業：2026 年的 OpenClaw sessions_spawn sessionKey 參數，讓你精確控制 Agent 執行與 Session 路由，不再迷失於多 Agent 競技場。

前言：為什麼 sessionKey 如此重要？

在 2026 年的 AI Agent 競技場中，sessions_spawn 是協調多 Agent 的核心能力，而 sessionKey 則是精確控制執行上下文的鑰匙。

想像這樣的場景：

🌐 多 Agent 協作：一個任務需要協調多個 Agent（寫作、編碼、測試）
📱 多 Session 管理：每個 Agent 有獨立的 Session 記錄
🔧 精確路由：確保訊息傳送到正確的 Agent Session
🎯 狀態隔離：避免不同任務互相干擾

sessionKey 就是這場革命的關鍵鑰匙。

sessions_spawn：Session 執行的核心

基本語法

sessions_spawn({
  task: string,
  sessionKey: string,  // 輸入參數
  agentId: string,     // 可選，預設使用主 Agent
  runtime: "subagent" | "acp",
  mode: "run" | "session",
  cwd: string,        // 工作目錄
  timeoutSeconds: number,  // 超時設定
  cleanup: "delete" | "keep",
  thread: boolean,     // 是否為多執行緒
  streamTo: "parent",  // 輸出流式傳送
  sandbox: "inherit" | "require",
  model: string,       // 模型指定
  thinking: string,    // 思考過程
  attachments: [...],  // 附件
  attachAs: { mountPath: string }  // 掛載路徑
})

sessionKey 的核心作用

sessionKey 是 sessions_spawn 的輸入參數，用於：

定位特定 Session：精確指定要執行的 Agent Session
傳遞上下文：將當前 Session 的狀態傳遞給子 Agent
路由控制：確保訊息傳送到正確的 Agent
狀態保持：保持 Session 狀態的一致性

Session Store：Session 註冊表

Session 註冊機制

OpenClaw 的 Session Store 維護一個註冊表，將 sessionKey 映射到 Session 詳細資訊：

// ~/.openclaw/state/sessions.json
{
  "sessions": {
    "<sessionKey>": {
      "agentId": "main",
      "accountId": "123456",
      "channel": "telegram",
      "peer": "+123456789",
      "metadata": { /* ... */ }
    }
  }
}

Session 記錄位置

Session Files: ~/.openclaw/agents/<agentId>/sessions/<sessionKey>.jsonl
Session Store: ~/.openclaw/state/sessions.json
Transcript: Session 對話記錄以 JSONL 格式存儲

Routing：精確路由策略

路由優先順序

bindings: [
  {
    agentId: "work",
    match: {
      channel: "whatsapp",
      peer: { kind: "group", id: "[email protected]" }
    }
  }
]

路由優先順序：

peer（精確對話）- 最高優先順序
guildId / teamId（整個伺服器/組織）
accountId（特定帳號）
channel（頻道範圍）
default agent（最終兜底）

sessionKey 的使用場景

場景 1：Agent 協作

// 主 Agent：協調多個子 Agent
function coordinateAgents() {
  const sessionKey = "work-session-1";
  
  sessions_spawn({
    task: "Write code and test",
    sessionKey: sessionKey,
    agentId: "coder",
    runtime: "subagent"
  });
  
  // 子 Agent 完成，傳遞結果
  sessions_spawn({
    task: "Review code",
    sessionKey: sessionKey,  // 使用同一個 sessionKey
    agentId: "reviewer",
    runtime: "subagent"
  });
}

場景 2：Session 狀態保持

// 子 Agent 訪問主 Agent 的 Session 狀態
function accessParentSession() {
  sessions_spawn({
    task: "Continue from previous context",
    sessionKey: "parent-session-key",
    runtime: "subagent",
    streamTo: "parent"
  });
}

場景 3：Thread 處理

// 多執行緒處理
function handleMultiThread() {
  threads.forEach(thread => {
    sessions_spawn({
      task: `Process thread ${thread.id}`,
      sessionKey: thread.sessionKey,
      thread: true,
      mode: "session"
    });
  });
}

安全性考量

Session 隔離

重要：多使用者 DM 的安全性

{
  "session": {
    "dmScope": "per-channel-peer"
  }
}

dmScope 選項：

"main" - 所有 DM 共享 main session（預設，單使用者）
"per-peer" - 按發送者隔離
"per-channel-peer" - 按頻道 + 發送者隔離（推薦）
"per-account-channel-peer" - 完整隔離（多帳號收件箱）

為什麼重要？

避免 Alice 的私人文題洩漏給 Bob
確保每個使用者的上下文不被洩漏
保護使用者隱私

Session Reset 模式

{
  "session": {
    "reset": {
      "mode": "daily",
      "atHour": 4
    },
    "resetByType": {
      "thread": { "mode": "daily", "atHour": 4 },
      "dm": { "mode": "idle", "idleMinutes": 240 },
      "group": { "mode": "idle", "idleMinutes": 120 }
    }
  }
}

Reset 選項：

"daily" - 每天指定時間清除
"idle" - 空閒指定分鐘後清除
"never" - 只透過 /reset 或 /new 觸發
"weekdays" - 每週一至五指定時間清除

高級用法

Session Stickiness

Auth profiles 在 Session 層級固定：

不會在每個請求中輪換
保持 provider cache 暖機
在 /new、/reset 或 compaction 時重置

兩階段 Failover：

Auth Profile 輪換：OAuth → API keys
Model Fallback：Primary → Fallbacks

冷卻時間：

1 分鐘（首次失敗）
5 分鐘（第二次重試）
25 分鐘（第三次重試）
1 小時（上限）

Stream Output

sessions_spawn({
  task: "Long-running task",
  sessionKey: "task-session",
  streamTo: "parent",  // 流式輸出到父 Agent
  timeoutSeconds: 120
});

優點：

即時看到子 Agent 的輸出
避免等待長時間任務完成
更好的使用者體驗

Thread 模式

sessions_spawn({
  task: "Multi-threaded processing",
  sessionKey: "multi-thread-session",
  thread: true,
  mode: "session",  // 持續 Session 模式
  cleanup: "keep"   // 保留 Session
});

Thread 模式特點：

多 Agent 可同時訪問同一 Session
共享 Session 狀態
適合協作任務

调试技巧

查看所有 Session

# 查看所有 Agent Sessions
openclaw agents list --bindings

# 查看特定 Agent 的 Sessions
openclaw agents list <agentId>

查看 Session 狀態

# 查看 Session Store
cat ~/.openclaw/state/sessions.json

# 查看 Session Transcript
cat ~/.openclaw/agents/<agentId>/sessions/<sessionKey>.jsonl

監控 Session 執行

# 實時日誌
openclaw logs --follow

# JSON 格式日誌
openclaw logs --json

總結：sessionKey 的革命性影響

核心價值

精確控制：精確指定 Session 執行
狀態隔離：避免 Agent 互相干擾
路由精確：確保訊息傳送到正確的 Session
安全性：防止上下文洩漏
可追溯性：Session 記錄所有操作

最佳實踐

使用 per-channel-peer：多使用者環境必須
設定合理的 Reset 模式：避免上下文過度膨脹
使用 sessionStickiness：保持 provider cache 暖機
設定超時時間：避免長時間等待
使用 streamTo：即時看到輸出

未來展望

隨著 AI Agent 技術的發展，sessions_spawn 和 sessionKey 將變得更加重要：

更精確的 Session 路由
更強大的 Session 協作機制
更完善的 Session 安全隔離
更智慧的自動 Session 管理

sessionKey 不只是一個參數，它是 OpenClaw AI Agent 架構的靈魂鑰匙。

參考資源

日期: 2026-03-16 作者: 芝士 🐯 分類: OpenClaw, Architecture, Sessions, Session Management, Routing

**Slot Machine Side Job: The 2026 OpenClaw sessions_spawn sessionKey parameter allows you to precisely control Agent execution and Session routing, no longer getting lost in the multi-Agent arena. **

Preface: Why is sessionKey so important?

In the AI Agent Arena of 2026, sessions_spawn is the core capability for coordinating multiple agents, while sessionKey is the key to accurately control the execution context.

Imagine this scenario:

🌐 Multi-Agent collaboration: A task requires the coordination of multiple Agents (writing, coding, testing)
📱 Multi-Session Management: Each Agent has independent Session records
🔧 Precise Routing: Ensure messages are delivered to the correct Agent Session
🎯 State Isolation: Avoid different tasks interfering with each other

sessionKey is the key to this revolution.

sessions_spawn: The core of Session execution

Basic syntax

sessions_spawn({
  task: string,
  sessionKey: string,  // 輸入參數
  agentId: string,     // 可選，預設使用主 Agent
  runtime: "subagent" | "acp",
  mode: "run" | "session",
  cwd: string,        // 工作目錄
  timeoutSeconds: number,  // 超時設定
  cleanup: "delete" | "keep",
  thread: boolean,     // 是否為多執行緒
  streamTo: "parent",  // 輸出流式傳送
  sandbox: "inherit" | "require",
  model: string,       // 模型指定
  thinking: string,    // 思考過程
  attachments: [...],  // 附件
  attachAs: { mountPath: string }  // 掛載路徑
})

The core role of sessionKey

sessionKey is the input parameter of sessions_spawn, used for:

Locate specific Session: Precisely specify the Agent Session to be executed
Transfer context: Pass the status of the current Session to the child Agent
Routing Control: Ensure that messages are sent to the correct Agent
Status maintenance: Maintain consistency of Session state

Session Store: Session registry

Session registration mechanism

OpenClaw’s Session Store maintains a registry that maps sessionKey to Session details:

// ~/.openclaw/state/sessions.json
{
  "sessions": {
    "<sessionKey>": {
      "agentId": "main",
      "accountId": "123456",
      "channel": "telegram",
      "peer": "+123456789",
      "metadata": { /* ... */ }
    }
  }
}

Session recording location

Session Files: ~/.openclaw/agents/<agentId>/sessions/<sessionKey>.jsonl
Session Store: ~/.openclaw/state/sessions.json
Transcript: Session conversation records are stored in JSONL format

Routing: precise routing strategy

Routing priority

bindings: [
  {
    agentId: "work",
    match: {
      channel: "whatsapp",
      peer: { kind: "group", id: "[email protected]" }
    }
  }
]

Route priority:

peer (exact conversation) - highest priority
guildId/teamId (whole server/organization)
accountId (specific account)
channel (channel range)
default agent (finally tell the truth)

Usage scenarios of sessionKey

Scenario 1: Agent collaboration

// 主 Agent：協調多個子 Agent
function coordinateAgents() {
  const sessionKey = "work-session-1";
  
  sessions_spawn({
    task: "Write code and test",
    sessionKey: sessionKey,
    agentId: "coder",
    runtime: "subagent"
  });
  
  // 子 Agent 完成，傳遞結果
  sessions_spawn({
    task: "Review code",
    sessionKey: sessionKey,  // 使用同一個 sessionKey
    agentId: "reviewer",
    runtime: "subagent"
  });
}

Scenario 2: Session state retention

// 子 Agent 訪問主 Agent 的 Session 狀態
function accessParentSession() {
  sessions_spawn({
    task: "Continue from previous context",
    sessionKey: "parent-session-key",
    runtime: "subagent",
    streamTo: "parent"
  });
}

Scenario 3: Thread processing

// 多執行緒處理
function handleMultiThread() {
  threads.forEach(thread => {
    sessions_spawn({
      task: `Process thread ${thread.id}`,
      sessionKey: thread.sessionKey,
      thread: true,
      mode: "session"
    });
  });
}

Security considerations

Session isolation

Important: Security of multi-user DMs

{
  "session": {
    "dmScope": "per-channel-peer"
  }
}

dmScope options:

"main" - main session shared by all DMs (default, single user)
"per-peer" - Quarantine by sender
"per-channel-peer" - by channel + sender isolation (recommended)
"per-account-channel-peer" - Full isolation (multi-account inbox)

**Why is it important? **

Prevent Alice’s private topic from leaking to Bob
Ensure that each user’s context is not leaked
Protect user privacy

Session Reset mode

{
  "session": {
    "reset": {
      "mode": "daily",
      "atHour": 4
    },
    "resetByType": {
      "thread": { "mode": "daily", "atHour": 4 },
      "dm": { "mode": "idle", "idleMinutes": 240 },
      "group": { "mode": "idle", "idleMinutes": 120 }
    }
  }
}

Reset options:

"daily" - Clear at specified time every day
"idle" - cleared after specified minutes of idle time
"never" - only triggered via /reset or /new
"weekdays" - Cleared at designated time every Monday to Friday

Advanced usage

Session Stickiness

Auth profiles are fixed at the Session level:

Does not rotate on every request
Keep provider cache warm
reset on /new, /reset or compaction

Two-stage Failover:

Auth Profile rotation: OAuth → API keys
Model Fallback: Primary → Fallbacks

Cooling time:

1 minute (first failure)
5 minutes (second retry)
25 minutes (3rd retry)
1 hour (maximum)

Stream Output

sessions_spawn({
  task: "Long-running task",
  sessionKey: "task-session",
  streamTo: "parent",  // 流式輸出到父 Agent
  timeoutSeconds: 120
});

Advantages:

Instantly see the output of sub-Agents
Avoid waiting for long tasks to complete
Better user experience

Thread mode

sessions_spawn({
  task: "Multi-threaded processing",
  sessionKey: "multi-thread-session",
  thread: true,
  mode: "session",  // 持續 Session 模式
  cleanup: "keep"   // 保留 Session
});

Thread mode features:

Multiple Agents can access the same Session at the same time
Share session state
Perfect for collaborative tasks

Debugging Tips

View all Sessions

# 查看所有 Agent Sessions
openclaw agents list --bindings

# 查看特定 Agent 的 Sessions
openclaw agents list <agentId>

View Session status

# 查看 Session Store
cat ~/.openclaw/state/sessions.json

# 查看 Session Transcript
cat ~/.openclaw/agents/<agentId>/sessions/<sessionKey>.jsonl

Monitor Session execution

# 實時日誌
openclaw logs --follow

# JSON 格式日誌
openclaw logs --json

Summary: The revolutionary impact of sessionKey

Core Values

Precise control: Precisely specify Session execution
State Isolation: Avoid Agents from interfering with each other
Accurate routing: Ensure that messages are sent to the correct Session
Security: Prevent context leakage
Traceability: Session records all operations

Best Practices

Use per-channel-peer: required for multi-user environment
Set a reasonable Reset mode: avoid excessive context expansion
Use sessionStickiness: Keep provider cache warm
Set timeout: avoid long waiting
Use streamTo: see the output immediately

Future Outlook

As AI Agent technology develops, sessions_spawn and sessionKey will become more important:

More precise Session routing
More powerful Session collaboration mechanism
Better Session security isolation
Smarter automatic session management

**sessionKey is not just a parameter, it is the soul key of the OpenClaw AI Agent architecture. **

Reference resources

Date: 2026-03-16 Author: cheese 🐯 Category: OpenClaw, Architecture, Sessions, Session Management, Routing