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Sub-Agents

Sub-agents let you run background tasks without blocking the main conversation. When you spawn a sub-agent, it runs in its own isolated session, does its work, and announces the result back to the chat when finished. Use cases:
  • Research a topic while the main agent continues answering questions
  • Run multiple long tasks in parallel (web scraping, code analysis, file processing)
  • Delegate tasks to specialized agents in a multi-agent setup

Quick Start

The simplest way to use sub-agents is to ask your agent naturally:
“Spawn a sub-agent to research the latest Node.js release notes”
The agent will call the sessions_spawn tool behind the scenes. When the sub-agent finishes, it announces its findings back into your chat. You can also be explicit about options:
“Spawn a sub-agent to analyze the server logs from today. Use gpt-5.2 and set a 5-minute timeout.”

How It Works

1

Main agent spawns

The main agent calls sessions_spawn with a task description. The call is non-blocking — the main agent gets back { status: "accepted", runId, childSessionKey } immediately.
2

Sub-agent runs in the background

A new isolated session is created (agent:<agentId>:subagent:<uuid>) on the dedicated subagent queue lane.
3

Result is announced

When the sub-agent finishes, it announces its findings back to the requester chat. The main agent posts a natural-language summary.
4

Session is archived

The sub-agent session is auto-archived after 60 minutes (configurable). Transcripts are preserved.
Each sub-agent has its own context and token usage. Set a cheaper model for sub-agents to save costs — see Setting a Default Model below.

Configuration

Sub-agents work out of the box with no configuration. Defaults:
  • Model: target agent’s normal model selection (unless subagents.model is set)
  • Thinking: no sub-agent override (unless subagents.thinking is set)
  • Max concurrent: 8
  • Auto-archive: after 60 minutes

Setting a Default Model

Use a cheaper model for sub-agents to save on token costs:
{
  agents: {
    defaults: {
      subagents: {
        model: "minimax/MiniMax-M2.1",
      },
    },
  },
}

Setting a Default Thinking Level

{
  agents: {
    defaults: {
      subagents: {
        thinking: "low",
      },
    },
  },
}

Per-Agent Overrides

In a multi-agent setup, you can set sub-agent defaults per agent:
{
  agents: {
    list: [
      {
        id: "researcher",
        subagents: {
          model: "anthropic/claude-sonnet-4",
        },
      },
      {
        id: "assistant",
        subagents: {
          model: "minimax/MiniMax-M2.1",
        },
      },
    ],
  },
}

Concurrency

Control how many sub-agents can run at the same time:
{
  agents: {
    defaults: {
      subagents: {
        maxConcurrent: 4, // default: 8
      },
    },
  },
}
Sub-agents use a dedicated queue lane (subagent) separate from the main agent queue, so sub-agent runs don’t block inbound replies.

Auto-Archive

Sub-agent sessions are automatically archived after a configurable period:
{
  agents: {
    defaults: {
      subagents: {
        archiveAfterMinutes: 120, // default: 60
      },
    },
  },
}
Archive renames the transcript to *.deleted.<timestamp> (same folder) — transcripts are preserved, not deleted. Auto-archive timers are best-effort; pending timers are lost if the gateway restarts.

The sessions_spawn Tool

This is the tool the agent calls to create sub-agents.

Parameters

ParameterTypeDefaultDescription
taskstring(required)What the sub-agent should do
labelstringShort label for identification
agentIdstring(caller’s agent)Spawn under a different agent id (must be allowed)
modelstring(optional)Override the model for this sub-agent
thinkingstring(optional)Override thinking level (off, low, medium, high, etc.)
runTimeoutSecondsnumber0 (no limit)Abort the sub-agent after N seconds
cleanup"delete" | "keep""keep""delete" archives immediately after announce

Model Resolution Order

The sub-agent model is resolved in this order (first match wins):
  1. Explicit model parameter in the sessions_spawn call
  2. Per-agent config: agents.list[].subagents.model
  3. Global default: agents.defaults.subagents.model
  4. Target agent’s normal model resolution for that new session
Thinking level is resolved in this order:
  1. Explicit thinking parameter in the sessions_spawn call
  2. Per-agent config: agents.list[].subagents.thinking
  3. Global default: agents.defaults.subagents.thinking
  4. Otherwise no sub-agent-specific thinking override is applied
Invalid model values are silently skipped — the sub-agent runs on the next valid default with a warning in the tool result.

Cross-Agent Spawning

By default, sub-agents can only spawn under their own agent id. To allow an agent to spawn sub-agents under other agent ids:
{
  agents: {
    list: [
      {
        id: "orchestrator",
        subagents: {
          allowAgents: ["researcher", "coder"], // or ["*"] to allow any
        },
      },
    ],
  },
}
Use the agents_list tool to discover which agent ids are currently allowed for sessions_spawn.

Managing Sub-Agents (/subagents)

Use the /subagents slash command to inspect and control sub-agent runs for the current session:
CommandDescription
/subagents listList all sub-agent runs (active and completed)
/subagents stop <id|#|all>Stop a running sub-agent
/subagents log <id|#> [limit] [tools]View sub-agent transcript
/subagents info <id|#>Show detailed run metadata
/subagents send <id|#> <message>Send a message to a running sub-agent
You can reference sub-agents by list index (1, 2), run id prefix, full session key, or last.
/subagents list
🧭 Subagents (current session)
Active: 1 · Done: 2
1) ✅ · research logs · 2m31s · run a1b2c3d4 · agent:main:subagent:...
2) ✅ · check deps · 45s · run e5f6g7h8 · agent:main:subagent:...
3) 🔄 · deploy staging · 1m12s · run i9j0k1l2 · agent:main:subagent:...
/subagents stop 3
⚙️ Stop requested for deploy staging.
/subagents info 1
ℹ️ Subagent info
Status: ✅
Label: research logs
Task: Research the latest server error logs and summarize findings
Run: a1b2c3d4-...
Session: agent:main:subagent:...
Runtime: 2m31s
Cleanup: keep
Outcome: ok
/subagents log 1 10
Shows the last 10 messages from the sub-agent’s transcript. Add tools to include tool call messages:
/subagents log 1 10 tools
/subagents send 3 "Also check the staging environment"
Sends a message into the running sub-agent’s session and waits up to 30 seconds for a reply.

Announce (How Results Come Back)

When a sub-agent finishes, it goes through an announce step:
  1. The sub-agent’s final reply is captured
  2. A summary message is sent to the main agent’s session with the result, status, and stats
  3. The main agent posts a natural-language summary to your chat
Announce replies preserve thread/topic routing when available (Slack threads, Telegram topics, Matrix threads).

Announce Stats

Each announce includes a stats line with:
  • Runtime duration
  • Token usage (input/output/total)
  • Estimated cost (when model pricing is configured via models.providers.*.models[].cost)
  • Session key, session id, and transcript path

Announce Status

The announce message includes a status derived from the runtime outcome (not from model output):
  • successful completion (ok) — task completed normally
  • error — task failed (error details in notes)
  • timeout — task exceeded runTimeoutSeconds
  • unknown — status could not be determined
If no user-facing announcement is needed, the main-agent summarize step can return NO_REPLY and nothing is posted. This is different from ANNOUNCE_SKIP, which is used in agent-to-agent announce flow (sessions_send).

Tool Policy

By default, sub-agents get all tools except a set of denied tools that are unsafe or unnecessary for background tasks:
Denied toolReason
sessions_listSession management — main agent orchestrates
sessions_historySession management — main agent orchestrates
sessions_sendSession management — main agent orchestrates
sessions_spawnNo nested fan-out (sub-agents cannot spawn sub-agents)
gatewaySystem admin — dangerous from sub-agent
agents_listSystem admin
whatsapp_loginInteractive setup — not a task
session_statusStatus/scheduling — main agent coordinates
cronStatus/scheduling — main agent coordinates
memory_searchPass relevant info in spawn prompt instead
memory_getPass relevant info in spawn prompt instead

Customizing Sub-Agent Tools

You can further restrict sub-agent tools:
{
  tools: {
    subagents: {
      tools: {
        // deny always wins over allow
        deny: ["browser", "firecrawl"],
      },
    },
  },
}
To restrict sub-agents to only specific tools:
{
  tools: {
    subagents: {
      tools: {
        allow: ["read", "exec", "process", "write", "edit", "apply_patch"],
        // deny still wins if set
      },
    },
  },
}
Custom deny entries are added to the default deny list. If allow is set, only those tools are available (the default deny list still applies on top).

Authentication

Sub-agent auth is resolved by agent id, not by session type:
  • The auth store is loaded from the target agent’s agentDir
  • The main agent’s auth profiles are merged in as a fallback (agent profiles win on conflicts)
  • The merge is additive — main profiles are always available as fallbacks
Fully isolated auth per sub-agent is not currently supported.

Context and System Prompt

Sub-agents receive a reduced system prompt compared to the main agent:
  • Included: Tooling, Workspace, Runtime sections, plus AGENTS.md and TOOLS.md
  • Not included: SOUL.md, IDENTITY.md, USER.md, HEARTBEAT.md, BOOTSTRAP.md
The sub-agent also receives a task-focused system prompt that instructs it to stay focused on the assigned task, complete it, and not act as the main agent.

Stopping Sub-Agents

MethodEffect
/stop in the chatAborts the main session and all active sub-agent runs spawned from it
/subagents stop <id>Stops a specific sub-agent without affecting the main session
runTimeoutSecondsAutomatically aborts the sub-agent run after the specified time
runTimeoutSeconds does not auto-archive the session. The session remains until the normal archive timer fires.

Full Configuration Example

{
  agents: {
    defaults: {
      model: { primary: "anthropic/claude-sonnet-4" },
      subagents: {
        model: "minimax/MiniMax-M2.1",
        thinking: "low",
        maxConcurrent: 4,
        archiveAfterMinutes: 30,
      },
    },
    list: [
      {
        id: "main",
        default: true,
        name: "Personal Assistant",
      },
      {
        id: "ops",
        name: "Ops Agent",
        subagents: {
          model: "anthropic/claude-sonnet-4",
          allowAgents: ["main"], // ops can spawn sub-agents under "main"
        },
      },
    ],
  },
  tools: {
    subagents: {
      tools: {
        deny: ["browser"], // sub-agents can't use the browser
      },
    },
  },
}

Limitations

  • Best-effort announce: If the gateway restarts, pending announce work is lost.
  • No nested spawning: Sub-agents cannot spawn their own sub-agents.
  • Shared resources: Sub-agents share the gateway process; use maxConcurrent as a safety valve.
  • Auto-archive is best-effort: Pending archive timers are lost on gateway restart.

See Also