---
summary: "Sub-agents: spawning isolated agent runs that announce results back to the requester chat"
read_when:
- You want background/parallel work via the agent
- You are changing sessions_spawn or sub-agent tool policy
title: "Sub-Agents"
---
# 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
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.
A new isolated session is created (`agent::subagent:`) on the dedicated `subagent` queue lane.
When the sub-agent finishes, it announces its findings back to the requester chat. The main agent posts a natural-language summary.
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](#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:
```json5
{
agents: {
defaults: {
subagents: {
model: "minimax/MiniMax-M2.1",
},
},
},
}
```
### Setting a Default Thinking Level
```json5
{
agents: {
defaults: {
subagents: {
thinking: "low",
},
},
},
}
```
### Per-Agent Overrides
In a multi-agent setup, you can set sub-agent defaults per agent:
```json5
{
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:
```json5
{
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:
```json5
{
agents: {
defaults: {
subagents: {
archiveAfterMinutes: 120, // default: 60
},
},
},
}
```
Archive renames the transcript to `*.deleted.` (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
| Parameter | Type | Default | Description |
| ------------------- | ---------------------- | ------------------ | -------------------------------------------------------------- |
| `task` | string | _(required)_ | What the sub-agent should do |
| `label` | string | — | Short label for identification |
| `agentId` | string | _(caller's agent)_ | Spawn under a different agent id (must be allowed) |
| `model` | string | _(optional)_ | Override the model for this sub-agent |
| `thinking` | string | _(optional)_ | Override thinking level (`off`, `low`, `medium`, `high`, etc.) |
| `runTimeoutSeconds` | number | `0` (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:
```json5
{
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:
| Command | Description |
| ---------------------------------------- | ---------------------------------------------- |
| `/subagents list` | List all sub-agent runs (active and completed) |
| `/subagents stop ` | Stop a running sub-agent |
| `/subagents log [limit] [tools]` | View sub-agent transcript |
| `/subagents info ` | Show detailed run metadata |
| `/subagents send ` | 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 tool | Reason |
|-------------|--------|
| `sessions_list` | Session management — main agent orchestrates |
| `sessions_history` | Session management — main agent orchestrates |
| `sessions_send` | Session management — main agent orchestrates |
| `sessions_spawn` | No nested fan-out (sub-agents cannot spawn sub-agents) |
| `gateway` | System admin — dangerous from sub-agent |
| `agents_list` | System admin |
| `whatsapp_login` | Interactive setup — not a task |
| `session_status` | Status/scheduling — main agent coordinates |
| `cron` | Status/scheduling — main agent coordinates |
| `memory_search` | Pass relevant info in spawn prompt instead |
| `memory_get` | Pass relevant info in spawn prompt instead |
### Customizing Sub-Agent Tools
You can further restrict sub-agent tools:
```json5
{
tools: {
subagents: {
tools: {
// deny always wins over allow
deny: ["browser", "firecrawl"],
},
},
},
}
```
To restrict sub-agents to **only** specific tools:
```json5
{
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
| Method | Effect |
| ---------------------- | ------------------------------------------------------------------------- |
| `/stop` in the chat | Aborts the main session **and** all active sub-agent runs spawned from it |
| `/subagents stop ` | Stops a specific sub-agent without affecting the main session |
| `runTimeoutSeconds` | Automatically 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
```json5
{
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
- [Session Tools](/concepts/session-tool) — details on `sessions_spawn` and other session tools
- [Multi-Agent Sandbox and Tools](/tools/multi-agent-sandbox-tools) — per-agent tool restrictions and sandboxing
- [Configuration](/gateway/configuration) — `agents.defaults.subagents` reference
- [Queue](/concepts/queue) — how the `subagent` lane works