openclaw最新版本部署多agent - Leonardo

1.当前系统环境

• OS: Ubuntu 26.04
• Node:  v22.22.1
• 内存: 8GB RAM
• 网络: 可访问外网（用于调用 LLM API）

2.系统架构概览

• 本部署采用 单节点多 Agent​ 架构，通过 OpenClaw Gateway 统一对外提供服务，并接入飞书（Feishu）作为消息渠道。

3.openclaw目录结构

/root/.openclaw/
├── openclaw.json         # 主配置文件
├── workspace/            # 全局工作区
│   ├── manager/          # manager agent 数据
│   └── writer/           # writer agent 数据
├── agents/
│   ├── manager/agent/    # manager agent 配置
│   └── writer/agent/     # writer agent 配置

4. 核心配置详解 (openclaw.json)

4.1 Agents 定义

• 系统配置了 3 个 Agent，各自独立工作区与模型

"agents": {"defaults": {"workspace": "/root/.openclaw/workspace","models": {"deepseek/deepseek-v4-flash": {"alias": "DeepSeek"},"zai/glm-4.5-air": {"alias": "GLM"},"sensenova/sensenova-6.7-flash-lite": {"alias": "SenseNova"}},"model": {"primary": "deepseek/deepseek-v4-flash"}},"list": [{"id": "main","model": "sensenova/sensenova-6.7-flash-lite"},{"id": "manager","name": "manager","workspace": "/root/.openclaw/workspace/manager","agentDir": "/root/.openclaw/agents/manager/agent","model": "deepseek/deepseek-v4-flash"},{"id": "writer","name": "writer","workspace": "/root/.openclaw/workspace/writer","agentDir": "/root/.openclaw/agents/writer/agent","model": "zai/glm-4.5-air"}]},

4.2 Model Providers (模型服务)

• 已配置三个国产模型供应商，注：SenseNova 模型直接在openclaw.json配置文件中配置的，所以添加了apikey，DeepSeek 和 ZAI 是在openclaw setup配置的，apikey在auth profiles 中配置

"models": {"mode": "merge","providers": {"deepseek": {"baseUrl": "https://api.deepseek.com","api": "openai-completions","models": [{"id": "deepseek-v4-flash","name": "DeepSeek V4 Flash","reasoning": true,"input": ["text"],"cost": {"input": 0.14,"output": 0.28,"cacheRead": 0.028,"cacheWrite": 0},"contextWindow": 1000000,"maxTokens": 384000,"compat": {"supportsReasoningEffort": true,"supportsUsageInStreaming": true,"maxTokensField": "max_tokens"},"api": "openai-completions"},{"id": "deepseek-v4-pro","name": "DeepSeek V4 Pro","reasoning": true,"input": ["text"],"cost": {"input": 1.74,"output": 3.48,"cacheRead": 0.145,"cacheWrite": 0},"contextWindow": 1000000,"maxTokens": 384000,"compat": {"supportsReasoningEffort": true,"supportsUsageInStreaming": true,"maxTokensField": "max_tokens"},"api": "openai-completions"},{"id": "deepseek-chat","name": "DeepSeek Chat","reasoning": false,"input": ["text"],"cost": {"input": 0.28,"output": 0.42,"cacheRead": 0.028,"cacheWrite": 0},"contextWindow": 131072,"maxTokens": 8192,"compat": {"supportsUsageInStreaming": true,"maxTokensField": "max_tokens"},"api": "openai-completions"},{"id": "deepseek-reasoner","name": "DeepSeek Reasoner","reasoning": true,"input": ["text"],"cost": {"input": 0.28,"output": 0.42,"cacheRead": 0.028,"cacheWrite": 0},"contextWindow": 131072,"maxTokens": 65536,"compat": {"supportsReasoningEffort": false,"supportsUsageInStreaming": true,"maxTokensField": "max_tokens"},"api": "openai-completions"}]},"zai": {"baseUrl": "https://open.bigmodel.cn/api/paas/v4","api": "openai-completions","models": [{"id": "glm-4.5-air","name": "GLM-4.5 Air","reasoning": true,"input": ["text"],"cost": {"input": 0.2,"output": 1.1,"cacheRead": 0.03,"cacheWrite": 0},"contextWindow": 131072,"maxTokens": 98304}]},"sensenova": {"baseUrl": "https://token.sensenova.cn/v1","apiKey": "sk-huU1Nwjac611111XRVyyZo888pZgoBPhi","api": "openai-completions","models": [{"id": "sensenova-6.7-flash-lite","name": "SenseNova V6.7 Flash-Lite","reasoning": true,"input": ["text", "image"],"cost": {"input": 0, "output": 0, "cacheRead": 0, "cacheWrite": 0},"contextWindow": 128000,"maxTokens": 32000}]}}},

5. 飞书 (Feishu) 集成配置

5.1 账号映射

• 系统通过 bindings 将飞书机器人账号与内部 Agent 绑定

"channels": {"feishu": {"enabled": true,"defaultAccount": "main","accounts": {"main": {"appId": "cli_aa83f01aa59999cbd","appSecret": "CQ9pHgmikiJj99999991GsDtDEt0iQ","name": "Primary bot","tts": {"providers": {"openai": {"voice": "shimmer"}}}},"manager": {"appId": "cli_aa82222dbb78dcc4","appSecret": "7ThoS222222222222222g21WWBCriWN","name": "Manager bot"},"writer": {"appId": "cli_aa811119deb9dcc6","appSecret": "XCZq86IH31111111111d8cVkNNWTYY7s","name": "Writer bot"}},"domain": "feishu","dmPolicy": "allowlist","allowFrom": ["ou_75dce55c2f11111111152c8bc526c294","ou_89a264d331222222222e74f63be35f23","ou_01dac560d833333333317083ff49b741"],"groupPolicy": "open","requireMention": true}},"bindings": [{"agentId": "main","match": {"channel": "feishu","accountId": "main","peer": { "kind": "direct", "id": "ou_75dce55c2f11111111152c8bc526c294" }}},{"agentId": "manager","match": {"channel": "feishu","accountId": "manager"}},{"agentId": "writer","match": {"channel": "feishu","accountId": "writer"}}],

5.2 权限控制 (DM Policy)

• mainAgent 启用了严格的白名单机制：
• 允许的用户 Open IDs:

     "allowFrom": ["ou_75dce55c2f11111111152c8bc526c294","ou_89a264d331222222222e74f63be35f23","ou_01dac560d833333333317083ff49b741"],

• 群聊策略: open(允许群聊 @ 触发)

5.3 飞书情况

• 目前是三个角色，一二（main）、一四（manager）和一五（writer），他们可以分工干活。

 

至此，多agent就部署完了，下边把他们放到一个群聊中通过@对应的agent，分配不同的任务！！！