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Subagent Orchestration

面向 OpenClaw 的子代理编排参考:说明 Worker、Researcher、Council 三类代理的工具权限与生成方式,列出沙箱限制(无网页工具、不可内联 Python)、超时建议、常见失败模式与修复、配置项以及多模型 council 模式。

wahajahmed010
wahajahmed010
热度 46.59
最近更新 2026-05-11 17:45:54
分类:自动化依赖:代码执行 / 读写文件 / 内部调用大模型应用场景:工作流 / 任务管理 / 研究 / 自动化脚本

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add subagent-orchestration
Metadata
name
subagent-orchestration
description
Orchestrate OpenClaw subagents effectively. Covers all three agent types (Worker, Researcher, Council) with correct spawning patterns, sandbox constraints, timeout strategies, and failure mode fixes. Includes multi-model council pattern via the council-of-llms companion skill. Prevents common failures: context overflow, gateway timeouts, web tool access, inline Python restrictions. Triggers on: spawn, delegate, subagent, agent timeout, agent failure, orchestration, multi-agent, council.
tags
["subagent","orchestration","delegation","spawning","timeout","council","multi-agent","parallel","worker","researcher"]

Subagent Orchestration

Agent Types

Type Tools Use For
Worker Default (no web) File ops, script execution, git, code changes
Researcher ollama_web_search, ollama_web_fetch Web research, API lookups, live data
Council Default (no web) Analysis, review, decision-making with passed context

Sandbox Constraints

Default subagents (Worker/Council) cannot:

  • Use ollama_web_fetch or ollama_web_search
  • Run python3 -c "..." inline commands
  • Access the main session's conversation history

They can:

  • Read/write files
  • Run scripts from .py files (python3 /path/to/script.py)
  • Execute simple shell commands
  • Use exec, read, write, edit tools

Spawning Patterns

Researcher (Web-Enabled)

sessions_spawn(
  toolsAllow: ["ollama_web_fetch", "ollama_web_search"],
  runtime: "subagent",
  mode: "run",
  lightContext: true,
  runTimeoutSeconds: 600,
  task: "Research X. Return: findings, sources, key metrics."
)

Worker (File/Code Ops)

sessions_spawn(
  runtime: "subagent",
  mode: "run",
  lightContext: true,
  runTimeoutSeconds: 300,
  task: "Run python3 /path/to/script.py. Report output."
)

Council (Multi-Model Deliberation)

# Spawn 3 parallel subagents with different models and perspectives
# See skills/council-of-llms/SKILL.md for full details
sessions_spawn(model: "ollama/kimi-k2.6:cloud", label: "Council-Strategos", ...)
sessions_spawn(model: "ollama/deepseek-v4-pro:cloud", label: "Council-Analyticos", ...)
sessions_spawn(model: "ollama/gemma4:31b-cloud", label: "Council-Creativos", ...)
# Then synthesize all 3 outputs into a unified verdict

Single-Model Council (Legacy — Avoid)

# WARNING: Single-model councils cause context overflow and produce shallow analysis
# Use multi-model pattern above instead
sessions_spawn(
  runtime: "subagent",
  mode: "run",
  lightContext: true,
  runTimeoutSeconds: 900,
  task: "Review this data and decide: [data pasted inline]. Return: verdict, conditions, risks."
)

Timeout Strategy

Task Type Min Timeout Recommended
Simple file ops 120s 180s
Research (web) 300s 600s
Council/review 300s 600s
Complex multi-step 600s 900s

Never rush agents. Quality > speed. If an agent takes >60s, give the user a brief status update.

Delegation Rules

  1. Never run long scripts yourself. Write the script, hand the file path to a subagent.
  2. Pre-fetch web content yourself for Worker/Council agents — they can't browse.
  3. Use Researcher agents when you need web data that subagents can't access.
  4. Write .py files first — don't pass inline Python to subagents.
  5. Paste context inline — Council agents don't have your conversation history.

Common Failure Modes

Symptom Cause Fix
Agent times out Can't access web tools Use toolsAllow or pre-fetch content
Agent times out Can't run inline Python Write .py file, pass path
Agent times out runTimeoutSeconds too low Set runTimeoutSeconds: 900 in spawn call
Agent times out Gateway under load (10s spawn timeout) Kill zombie subagents, wait, retry
Agent returns nothing Missing context Paste data in task parameter
Agent stuck in loop Vague task Add explicit "return X" instruction
Gateway crashes Context overflow on spawn Use lightContext: true
Spawn fails (10s gateway timeout) Gateway CPU overload Kill stale subagents first, then retry

Anti-Patterns

  • ❌ Doing research yourself when a Researcher agent could handle it
  • ❌ Running python3 -c inline in task descriptions
  • ❌ Setting 120s timeouts on research tasks
  • ❌ Re-spawning an agent that's still running (>60s = be patient)
  • ❌ Not passing context because "the agent should know"

Config (openclaw.json)

Set subagent defaults in ~/.openclaw/openclaw.json:

{
  "agents": {
    "defaults": {
      "subagents": {
        "runTimeoutSeconds": 900,
        "maxConcurrent": 5
      }
    }
  }
}

Also set in ~/.openclaw/council-config.json:

{
  "default_timeout": 900,
  "max_tokens": 8192
}