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# OpenResponses Gateway 网关集成计划 ## 背景 OpenClaw Gateway 网关目前在 `/v1/chat/completions` 暴露了一个最小的 OpenAI 兼容 Chat Completions 端点（参见 [OpenAI Chat Completions](/gateway/openai-http-api)）。 Open Responses 是基于 OpenAI Responses API 的开放推理标准。它专为智能体工作流设计，使用基于项目的输入加语义流式事件。OpenResponses 规范定义的是 `/v1/responses`，而不是 `/v1/chat/completions`。 ## 目标 - 添加一个遵循 OpenResponses 语义的 `/v1/responses` 端点。 - 保留 Chat Completions 作为兼容层，易于禁用并最终移除。 - 使用隔离的、可复用的 schema 标准化验证和解析。 ## 非目标 - 第一阶段完全实现 OpenResponses 功能（图片、文件、托管工具）。 - 替换内部智能体执行逻辑或工具编排。 - 在第一阶段更改现有的 `/v1/chat/completions` 行为。 ## 研究摘要 来源：OpenResponses OpenAPI、OpenResponses 规范网站和 Hugging Face 博客文章。 提取的关键点： - `POST /v1/responses` 接受 `CreateResponseBody` 字段，如 `model`、`input`（字符串或 `ItemParam[]`）、`instructions`、`tools`、`tool\_choice`、`stream`、`max\_output\_tokens` 和 `max\_tool\_calls`。 - `ItemParam` 是以下类型的可区分联合： - 具有角色 `system`、`developer`、`user`、`assistant` 的 `message` 项 - `function\_call` 和 `function\_call\_output` - `reasoning` - `item\_reference` - 成功响应返回带有 `object: "response"`、`status` 和 `output` 项的 `ResponseResource`。 - 流式传输使用语义事件，如： - `response.created`、`response.in\_progress`、`response.completed`、`response.failed` - `response.output\_item.added`、`response.output\_item.done` - `response.content\_part.added`、`response.content\_part.done` - `response.output\_text.delta`、`response.output\_text.done` - 规范要求： - `Content-Type: text/event-stream` - `event:` 必须匹配 JSON `type` 字段 - 终止事件必须是字面量 `[DONE]` - Reasoning 项可能暴露 `content`、`encrypted\_content` 和 `summary`。 - HF 示例在请求中包含 `OpenResponses-Version: latest`（可选头部）。 ## 提议的架构 - 添加 `src/gateway/open-responses.schema.ts`，仅包含 Zod schema（无 gateway 导入）。 - 添加 `src/gateway/openresponses-http.ts`（或 `open-responses-http.ts`）用于 `/v1/responses`。 - 保持 `src/gateway/openai-http.ts` 不变，作为遗留兼容适配器。 - 添加配置 `gateway.http.endpoints.responses.enabled`（默认 `false`）。 - 保持 `gateway.http.endpoints.chatCompletions.enabled` 独立；允许两个端点分别切换。 - 当 Chat Completions 启用时发出启动警告，以表明其遗留状态。 ## Chat Completions 弃用路径 - 保持严格的模块边界：responses 和 chat completions 之间不共享 schema 类型。 - 通过配置使 Chat Completions 成为可选，这样无需代码更改即可禁用。 - 一旦 `/v1/responses` 稳定，更新文档将 Chat Completions 标记为遗留。 - 可选的未来步骤：将 Chat Completions 请求映射到 Responses 处理器，以便更简单地移除。 ## 第一阶段支持子集 - 接受 `input` 为字符串或带有消息角色和 `function\_call\_output` 的 `ItemParam[]`。 - 将 system 和 developer 消息提取到 `extraSystemPrompt` 中。 - 使用最近的 `user` 或 `function\_call\_output` 作为智能体运行的当前消息。 - 对不支持的内容部分（图片/文件）返回 `invalid\_request\_error` 拒绝。 - 返回带有 `output\_text` 内容的单个助手消息。 - 返回带有零值的 `usage`，直到 token 计数接入。 ## 验证策略（无 SDK） - 为以下支持子集实现 Zod schema： - `CreateResponseBody` - `ItemParam` + 消息内容部分联合 - `ResponseResource` - Gateway 网关使用的流式事件形状 - 将 schema 保存在单个隔离模块中，以避免漂移并允许未来代码生成。 ## 流式实现（第一阶段） - 带有 `event:` 和 `data:` 的 SSE 行。 - 所需序列（最小可行）： - `response.created` - `response.output\_item.added` - `response.content\_part.added` - `response.output\_text.delta`（根据需要重复） - `response.output\_text.done` - `response.content\_part.done` - `response.completed` - `[DONE]` ## 测试和验证计划 - 为 `/v1/responses` 添加端到端覆盖： - 需要认证 - 非流式响应形状 - 流式事件顺序和 `[DONE]` - 使用头部和 `user` 的会话路由 - 保持 `src/gateway/openai-http.e2e.test.ts` 不变。 - 手动：用 `stream: true` curl `/v1/responses` 并验证事件顺序和终止 `[DONE]`。 ## 文档更新（后续） - 为 `/v1/responses` 使用和示例添加新文档页面。 - 更新 `/gateway/openai-http-api`，添加遗留说明和指向 `/v1/responses` 的指针。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/experiments/plans/openresponses-gateway.md | main | opebclaw | [
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# Qwen Qwen 为 Qwen Coder 和 Qwen Vision 模型提供免费层 OAuth 流程（每天 2,000 次请求，受 Qwen 速率限制约束）。 ## 启用插件 ```bash openclaw plugins enable qwen-portal-auth ``` 启用后重启 Gateway 网关。 ## 认证 ```bash openclaw models auth login --provider qwen-portal --set-default ``` 这会运行 Qwen 设备码 OAuth 流程并将提供商条目写入你的 `models.json`（加上一个 `qwen` 别名以便快速切换）。 ## 模型 ID - `qwen-portal/coder-model` - `qwen-portal/vision-model` 切换模型： ```bash openclaw models set qwen-portal/coder-model ``` ## 复用 Qwen Code CLI 登录 如果你已经使用 Qwen Code CLI 登录，OpenClaw 会在加载认证存储时从 `~/.qwen/oauth\_creds.json` 同步凭证。你仍然需要一个 `models.providers.qwen-portal` 条目（使用上面的登录命令创建一个）。 ## 注意 - 令牌自动刷新；如果刷新失败或访问被撤销，请重新运行登录命令。 - 默认基础 URL：`https://portal.qwen.ai/v1`（如果 Qwen 提供不同的端点，使用 `models.providers.qwen-portal.baseUrl` 覆盖）。 - 参阅[模型提供商](/concepts/model-providers)了解提供商级别的规则。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/providers/qwen.md | main | opebclaw | [
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# Anthropic（Claude） Anthropic 构建了 \*\*Claude\*\* 模型系列，并通过 API 提供访问。 在 OpenClaw 中，你可以使用 API 密钥或 \*\*setup-token\*\* 进行认证。 ## 选项 A：Anthropic API 密钥 \*\*适用于：\*\* 标准 API 访问和按用量计费。 在 Anthropic Console 中创建你的 API 密钥。 ### CLI 设置 ```bash openclaw onboard # 选择：Anthropic API key # 或非交互式 openclaw onboard --anthropic-api-key "$ANTHROPIC\_API\_KEY" ``` ### 配置片段 ```json5 { env: { ANTHROPIC\_API\_KEY: "sk-ant-..." }, agents: { defaults: { model: { primary: "anthropic/claude-opus-4-5" } } }, } ``` ## 提示缓存（Anthropic API） OpenClaw 支持 Anthropic 的提示缓存功能。这是\*\*仅限 API\*\*；订阅认证不支持缓存设置。 ### 配置 在模型配置中使用 `cacheRetention` 参数： | 值 | 缓存时长 | 描述 | | ------- | -------- | -------------------------- | | `none` | 无缓存 | 禁用提示缓存 | | `short` | 5 分钟 | API 密钥认证的默认值 | | `long` | 1 小时 | 扩展缓存（需要 beta 标志） | ```json5 { agents: { defaults: { models: { "anthropic/claude-opus-4-5": { params: { cacheRetention: "long" }, }, }, }, }, } ``` ### 默认值 使用 Anthropic API 密钥认证时，OpenClaw 会自动为所有 Anthropic 模型应用 `cacheRetention: "short"`（5 分钟缓存）。你可以通过在配置中显式设置 `cacheRetention` 来覆盖此设置。 ### 旧版参数 为了向后兼容，仍支持旧版 `cacheControlTtl` 参数： - `"5m"` 映射到 `short` - `"1h"` 映射到 `long` 我们建议迁移到新的 `cacheRetention` 参数。 OpenClaw 在 Anthropic API 请求中包含 `extended-cache-ttl-2025-04-11` beta 标志； 如果你覆盖提供商头信息，请保留它（参见 [/gateway/configuration](/gateway/configuration)）。 ## 选项 B：Claude setup-token \*\*适用于：\*\* 使用你的 Claude 订阅。 ### 在哪里获取 setup-token setup-token 由 \*\*Claude Code CLI\*\* 创建，而不是 Anthropic Console。你可以在\*\*任何机器\*\*上运行： ```bash claude setup-token ``` 将令牌粘贴到 OpenClaw（向导：\*\*Anthropic token (paste setup-token)\*\*），或在 Gateway 网关主机上运行： ```bash openclaw models auth setup-token --provider anthropic ``` 如果你在不同的机器上生成了令牌，请粘贴它： ```bash openclaw models auth paste-token --provider anthropic ``` ### CLI 设置 ```bash # 在新手引导期间粘贴 setup-token openclaw onboard --auth-choice setup-token ``` ### 配置片段 ```json5 { agents: { defaults: { model: { primary: "anthropic/claude-opus-4-5" } } }, } ``` ## 注意事项 - 使用 `claude setup-token` 生成 setup-token 并粘贴，或在 Gateway 网关主机上运行 `openclaw models auth setup-token`。 - 如果你在 Claude 订阅上看到"OAuth token refresh failed …"，请使用 setup-token 重新认证。参见 [/gateway/troubleshooting#oauth-token-refresh-failed-anthropic-claude-subscription](/gateway/troubleshooting#oauth-token-refresh-failed-anthropic-claude-subscription)。 - 认证详情 + 重用规则在 [/concepts/oauth](/concepts/oauth)。 ## 故障排除 \*\*401 错误/令牌突然失效\*\* - Claude 订阅认证可能过期或被撤销。重新运行 `claude setup-token` 并将其粘贴到 \*\*Gateway 网关主机\*\*。 - 如果 Claude CLI 登录在不同的机器上，在 Gateway 网关主机上使用 `openclaw models auth paste-token --provider anthropic`。 \*\*No API key found for provider "anthropic"\*\* - 认证是\*\*按智能体\*\*的。新智能体不会继承主智能体的密钥。 - 为该智能体重新运行新手引导，或在 Gateway 网关主机上粘贴 setup-token / API 密钥， 然后使用 `openclaw models status` 验证。 \*\*No credentials found for profile `anthropic:default`\*\* - 运行 `openclaw models status` 查看哪个认证配置文件处于活动状态。 - 重新运行新手引导，或为该配置文件粘贴 setup-token / API 密钥。 \*\*No available auth profile (all in cooldown/unavailable)\*\* - 检查 `openclaw models status --json` 中的 `auth.unusableProfiles`。 - 添加另一个 Anthropic 配置文件或等待冷却期结束。 更多信息：[/gateway/troubleshooting](/gateway/troubleshooting) 和 [/help/faq](/help/faq)。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/providers/anthropic.md | main | opebclaw | [
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# Claude Max API 代理 \*\*claude-max-api-proxy\*\* 是一个社区工具，将你的 Claude Max/Pro 订阅暴露为 OpenAI 兼容的 API 端点。这使你可以将订阅与任何支持 OpenAI API 格式的工具配合使用。 ## 为什么使用它？ | 方式 | 费用 | 适用场景 | | --------------- | ----------------------------------------------- | ------------------------ | | Anthropic API | 按 token 计费（Opus 约 $15/M 输入，$75/M 输出） | 生产应用、高流量场景 | | Claude Max 订阅 | 每月固定 $200 | 个人使用、开发、无限用量 | 如果你有 Claude Max 订阅并希望与 OpenAI 兼容工具配合使用，这个代理可以帮你节省大量费用。 ## 工作原理 ``` 你的应用 → claude-max-api-proxy → Claude Code CLI → Anthropic（通过订阅） （OpenAI 格式） （转换格式） （使用你的登录凭据） ``` 该代理： 1. 在 `http://localhost:3456/v1/chat/completions` 接受 OpenAI 格式的请求 2. 将其转换为 Claude Code CLI 命令 3. 以 OpenAI 格式返回响应（支持流式传输） ## 安装 ```bash # 需要 Node.js 20+ 和 Claude Code CLI npm install -g claude-max-api-proxy # 验证 Claude CLI 已认证 claude --version ``` ## 使用方法 ### 启动服务器 ```bash claude-max-api # 服务器运行在 http://localhost:3456 ``` ### 测试 ```bash # 健康检查 curl http://localhost:3456/health # 列出模型 curl http://localhost:3456/v1/models # 聊天补全 curl http://localhost:3456/v1/chat/completions \ -H "Content-Type: application/json" \ -d '{ "model": "claude-opus-4", "messages": [{"role": "user", "content": "Hello!"}] }' ``` ### 与 OpenClaw 配合使用 你可以将 OpenClaw 指向该代理作为自定义 OpenAI 兼容端点： ```json5 { env: { OPENAI\_API\_KEY: "not-needed", OPENAI\_BASE\_URL: "http://localhost:3456/v1", }, agents: { defaults: { model: { primary: "openai/claude-opus-4" }, }, }, } ``` ## 可用模型 | 模型 ID | 对应模型 | | ----------------- | --------------- | | `claude-opus-4` | Claude Opus 4 | | `claude-sonnet-4` | Claude Sonnet 4 | | `claude-haiku-4` | Claude Haiku 4 | ## macOS 自动启动 创建 LaunchAgent 以自动运行代理： ```bash cat > ~/Library/LaunchAgents/com.claude-max-api.plist << 'EOF' xml version="1.0" encoding="UTF-8"? Label com.claude-max-api RunAtLoad KeepAlive ProgramArguments /usr/local/bin/node /usr/local/lib/node\_modules/claude-max-api-proxy/dist/server/standalone.js EnvironmentVariables PATH /usr/local/bin:/opt/homebrew/bin:~/.local/bin:/usr/bin:/bin EOF launchctl bootstrap gui/$(id -u) ~/Library/LaunchAgents/com.claude-max-api.plist ``` ## 链接 - \*\*npm:\*\* https://www.npmjs.com/package/claude-max-api-proxy - \*\*GitHub:\*\* https://github.com/atalovesyou/claude-max-api-proxy - \*\*Issues:\*\* https://github.com/atalovesyou/claude-max-api-proxy/issues ## 注意事项 - 这是一个\*\*社区工具\*\*，并非由 Anthropic 或 OpenClaw 官方支持 - 需要有效的 Claude Max/Pro 订阅并已认证 Claude Code CLI - 代理在本地运行，不会将数据发送到任何第三方服务器 - 完全支持流式响应 ## 另请参阅 - [Anthropic 提供商](/providers/anthropic) - OpenClaw 与 Claude 的原生集成，使用 setup-token 或 API 密钥 - [OpenAI 提供商](/providers/openai) - 适用于 OpenAI/Codex 订阅 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/providers/claude-max-api-proxy.md | main | opebclaw | [
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# OpenAI OpenAI 提供 GPT 模型的开发者 API。Codex 支持\*\*ChatGPT 登录\*\*进行订阅访问，或\*\*API 密钥\*\*登录进行按量计费访问。Codex 云端需要 ChatGPT 登录。 ## 方式 A：OpenAI API 密钥（OpenAI Platform） \*\*适用于：\*\*直接 API 访问和按量计费。 从 OpenAI 控制台获取你的 API 密钥。 ### CLI 设置 ```bash openclaw onboard --auth-choice openai-api-key # 或非交互式 openclaw onboard --openai-api-key "$OPENAI\_API\_KEY" ``` ### 配置片段 ```json5 { env: { OPENAI\_API\_KEY: "sk-..." }, agents: { defaults: { model: { primary: "openai/gpt-5.2" } } }, } ``` ## 方式 B：OpenAI Code（Codex）订阅 \*\*适用于：\*\*使用 ChatGPT/Codex 订阅访问而非 API 密钥。 Codex 云端需要 ChatGPT 登录，而 Codex CLI 支持 ChatGPT 或 API 密钥登录。 ### CLI 设置 ```bash # 在向导中运行 Codex OAuth openclaw onboard --auth-choice openai-codex # 或直接运行 OAuth openclaw models auth login --provider openai-codex ``` ### 配置片段 ```json5 { agents: { defaults: { model: { primary: "openai-codex/gpt-5.2" } } }, } ``` ## 注意事项 - 模型引用始终使用 `provider/model` 格式（参见 [/concepts/models](/concepts/models)）。 - 认证详情和复用规则请参阅 [/concepts/oauth](/concepts/oauth)。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/providers/openai.md | main | opebclaw | [
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# Xiaomi MiMo Xiaomi MiMo 是 \*\*MiMo\*\* 模型的 API 平台。它提供与 OpenAI 和 Anthropic 格式兼容的 REST API，并使用 API 密钥进行身份验证。请在 [Xiaomi MiMo 控制台](https://platform.xiaomimimo.com/#/console/api-keys) 中创建你的 API 密钥。OpenClaw 使用 `xiaomi` 提供商配合 Xiaomi MiMo API 密钥。 ## 模型概览 - \*\*mimo-v2-flash\*\*：262144 token 上下文窗口，兼容 Anthropic Messages API。 - 基础 URL：`https://api.xiaomimimo.com/anthropic` - 授权方式：`Bearer $XIAOMI\_API\_KEY` ## CLI 设置 ```bash openclaw onboard --auth-choice xiaomi-api-key # 或非交互式 openclaw onboard --auth-choice xiaomi-api-key --xiaomi-api-key "$XIAOMI\_API\_KEY" ``` ## 配置片段 ```json5 { env: { XIAOMI\_API\_KEY: "your-key" }, agents: { defaults: { model: { primary: "xiaomi/mimo-v2-flash" } } }, models: { mode: "merge", providers: { xiaomi: { baseUrl: "https://api.xiaomimimo.com/anthropic", api: "anthropic-messages", apiKey: "XIAOMI\_API\_KEY", models: [ { id: "mimo-v2-flash", name: "Xiaomi MiMo V2 Flash", reasoning: false, input: ["text"], cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 }, contextWindow: 262144, maxTokens: 8192, }, ], }, }, }, } ``` ## 备注 - 模型引用：`xiaomi/mimo-v2-flash`。 - 当设置了 `XIAOMI\_API\_KEY`（或存在身份验证配置文件）时，该提供商会自动注入。 - 有关提供商规则，请参阅 [/concepts/model-providers](/concepts/model-providers)。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/providers/xiaomi.md | main | opebclaw | [
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# Venice AI（Venice 精选） \*\*Venice\*\* 是我们精选的 Venice 隐私优先推理配置，支持可选的匿名化访问专有模型。 Venice AI 提供注重隐私的 AI 推理服务，支持无审查模型，并可通过其匿名代理访问主流专有模型。所有推理默认私密——不会用你的数据训练，不会记录日志。 ## 为什么在 OpenClaw 中使用 Venice - \*\*私密推理\*\*，适用于开源模型（无日志记录）。 - 需要时可使用\*\*无审查模型\*\*。 - 在质量重要时，可\*\*匿名访问\*\*专有模型（Opus/GPT/Gemini）。 - 兼容 OpenAI 的 `/v1` 端点。 ## 隐私模式 Venice 提供两种隐私级别——理解这一点是选择模型的关键： | 模式 | 描述 | 模型 | | ---------- | ------------------------------------------------------------------------------------- | ------------------------------------------- | | \*\*私密\*\* | 完全私密。提示词/回复\*\*从不存储或记录\*\*。临时性处理。 | Llama、Qwen、DeepSeek、Venice Uncensored 等 | | \*\*匿名化\*\* | 通过 Venice 代理转发并剥离元数据。底层提供商（OpenAI、Anthropic）收到的是匿名化请求。 | Claude、GPT、Gemini、Grok、Kimi、MiniMax | ## 功能特性 - \*\*注重隐私\*\*：可选择"私密"（完全私密）和"匿名化"（代理转发）模式 - \*\*无审查模型\*\*：访问无内容限制的模型 - \*\*主流模型访问\*\*：通过 Venice 匿名代理使用 Claude、GPT-5.2、Gemini、Grok - \*\*兼容 OpenAI API\*\*：标准 `/v1` 端点，易于集成 - \*\*流式输出\*\*：✅ 所有模型均支持 - \*\*函数调用\*\*：✅ 部分模型支持（请检查模型能力） - \*\*视觉\*\*：✅ 具有视觉能力的模型支持 - \*\*无硬性速率限制\*\*：极端使用情况下可能触发公平使用限流 ## 设置 ### 1. 获取 API 密钥 1. 在 [venice.ai](https://venice.ai) 注册 2. 前往 \*\*Settings → API Keys → Create new key\*\* 3. 复制你的 API 密钥（格式：`vapi\_xxxxxxxxxxxx`） ### 2. 配置 OpenClaw \*\*方案 A：环境变量\*\* ```bash export VENICE\_API\_KEY="vapi\_xxxxxxxxxxxx" ``` \*\*方案 B：交互式设置（推荐）\*\* ```bash openclaw onboard --auth-choice venice-api-key ``` 这将： 1. 提示输入你的 API 密钥（或使用已有的 `VENICE\_API\_KEY`） 2. 显示所有可用的 Venice 模型 3. 让你选择默认模型 4. 自动配置提供商 \*\*方案 C：非交互式\*\* ```bash openclaw onboard --non-interactive \ --auth-choice venice-api-key \ --venice-api-key "vapi\_xxxxxxxxxxxx" ``` ### 3. 验证设置 ```bash openclaw chat --model venice/llama-3.3-70b "Hello, are you working?" ``` ## 模型选择 设置完成后，OpenClaw 会显示所有可用的 Venice 模型。根据你的需求选择： - \*\*默认（我们的推荐）\*\*：`venice/llama-3.3-70b`，私密且性能均衡。 - \*\*最佳整体质量\*\*：`venice/claude-opus-45`，适合复杂任务（Opus 仍然是最强的）。 - \*\*隐私\*\*：选择"私密"模型以获得完全私密的推理。 - \*\*能力\*\*：选择"匿名化"模型以通过 Venice 代理访问 Claude、GPT、Gemini。 随时更改默认模型： ```bash openclaw models set venice/claude-opus-45 openclaw models set venice/llama-3.3-70b ``` 列出所有可用模型： ```bash openclaw models list | grep venice ``` ## 通过 `openclaw configure` 配置 1. 运行 `openclaw configure` 2. 选择 \*\*Model/auth\*\* 3. 选择 \*\*Venice AI\*\* ## 应该使用哪个模型？ | 使用场景 | 推荐模型 | 原因 | | ---------------------- | -------------------------------- | ---------------------------- | | \*\*通用对话\*\* | `llama-3.3-70b` | 综合表现好，完全私密 | | \*\*最佳整体质量\*\* | `claude-opus-45` | Opus 在复杂任务上仍然最强 | | \*\*隐私 + Claude 品质\*\* | `claude-opus-45` | 通过匿名代理获得最佳推理能力 | | \*\*编程\*\* | `qwen3-coder-480b-a35b-instruct` | 代码优化，262k 上下文 | | \*\*视觉任务\*\* | `qwen3-vl-235b-a22b` | 最佳私密视觉模型 | | \*\*无审查\*\* | `venice-uncensored` | 无内容限制 | | \*\*快速 + 低成本\*\* | `qwen3-4b` | 轻量级，仍有不错能力 | | \*\*复杂推理\*\* | `deepseek-v3.2` | 推理能力强，私密 | ## 可用模型（共 25 个） ### 私密模型（15 个）— 完全私密，无日志记录 | 模型 ID | 名称 | 上下文（token） | 特性 | | -------------------------------- | ----------------------- | --------------- | ------------ | | `llama-3.3-70b` | Llama 3.3 70B | 131k | 通用 | | `llama-3.2-3b` | Llama 3.2 3B | 131k | 快速，轻量 | | `hermes-3-llama-3.1-405b` | Hermes 3 Llama 3.1 405B | 131k | 复杂任务 | | `qwen3-235b-a22b-thinking-2507` | Qwen3 235B Thinking | 131k | 推理 | | `qwen3-235b-a22b-instruct-2507` | Qwen3 235B Instruct | 131k | 通用 | | `qwen3-coder-480b-a35b-instruct` | Qwen3 Coder 480B | 262k | 编程 | | `qwen3-next-80b` | Qwen3 Next 80B | 262k | 通用 | | `qwen3-vl-235b-a22b` | Qwen3 VL 235B | 262k | 视觉 | | `qwen3-4b` | Venice Small (Qwen3 4B) | 32k | 快速，推理 | | `deepseek-v3.2` | DeepSeek V3.2 | 163k | 推理 | | `venice-uncensored` | Venice Uncensored | 32k | 无审查 | | `mistral-31-24b` | Venice Medium (Mistral) | 131k | 视觉 | | `google-gemma-3-27b-it` | Gemma 3 27B Instruct | 202k | 视觉 | | `openai-gpt-oss-120b` | OpenAI GPT OSS 120B | 131k | 通用 | | `zai-org-glm-4.7` | GLM 4.7 | 202k | 推理，多语言 | ### 匿名化模型（10 个）— 通过 Venice 代理 | 模型 ID | 原始模型 | 上下文（token） | 特性 | | ------------------------ | ----------------- | --------------- | ---------- | | `claude-opus-45` | Claude Opus 4.5 | 202k | 推理，视觉 | | `claude-sonnet-45` | Claude Sonnet 4.5 | 202k | 推理，视觉 | | `openai-gpt-52` | GPT-5.2 | 262k | 推理 | | `openai-gpt-52-codex` | GPT-5.2 Codex | 262k | 推理，视觉 | | `gemini-3-pro-preview` | Gemini 3 Pro | 202k | 推理，视觉 | | `gemini-3-flash-preview` | Gemini 3 Flash | 262k | 推理，视觉 | | `grok-41-fast` | Grok 4.1 Fast | 262k | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/providers/venice.md | main | opebclaw | [
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| | `openai-gpt-52` | GPT-5.2 | 262k | 推理 | | `openai-gpt-52-codex` | GPT-5.2 Codex | 262k | 推理，视觉 | | `gemini-3-pro-preview` | Gemini 3 Pro | 202k | 推理，视觉 | | `gemini-3-flash-preview` | Gemini 3 Flash | 262k | 推理，视觉 | | `grok-41-fast` | Grok 4.1 Fast | 262k | 推理，视觉 | | `grok-code-fast-1` | Grok Code Fast 1 | 262k | 推理，编程 | | `kimi-k2-thinking` | Kimi K2 Thinking | 262k | 推理 | | `minimax-m21` | MiniMax M2.1 | 202k | 推理 | ## 模型发现 当设置了 `VENICE\_API\_KEY` 时，OpenClaw 会自动从 Venice API 发现模型。如果 API 不可达，则回退到静态目录。 `/models` 端点是公开的（列出模型无需认证），但推理需要有效的 API 密钥。 ## 流式输出与工具支持 | 功能 | 支持情况 | | ------------- | ---------------------------------------------------------- | | \*\*流式输出\*\* | ✅ 所有模型 | | \*\*函数调用\*\* | ✅ 大多数模型（请检查 API 中的 `supportsFunctionCalling`） | | \*\*视觉/图像\*\* | ✅ 标记为"视觉"特性的模型 | | \*\*JSON 模式\*\* | ✅ 通过 `response\_format` 支持 | ## 定价 Venice 使用积分制。请查看 [venice.ai/pricing](https://venice.ai/pricing) 了解当前费率： - \*\*私密模型\*\*：通常成本较低 - \*\*匿名化模型\*\*：与直接 API 定价相近 + 少量 Venice 费用 ## 对比：Venice 与直接 API | 方面 | Venice（匿名化） | 直接 API | | -------- | ------------------ | ------------ | | \*\*隐私\*\* | 剥离元数据，匿名化 | 关联你的账户 | | \*\*延迟\*\* | +10-50ms（代理） | 直连 | | \*\*功能\*\* | 支持大部分功能 | 完整功能 | | \*\*计费\*\* | Venice 积分 | 提供商计费 | ## 使用示例 ```bash # 使用默认私密模型 openclaw chat --model venice/llama-3.3-70b # 通过 Venice 使用 Claude（匿名化） openclaw chat --model venice/claude-opus-45 # 使用无审查模型 openclaw chat --model venice/venice-uncensored # 使用视觉模型处理图像 openclaw chat --model venice/qwen3-vl-235b-a22b # 使用编程模型 openclaw chat --model venice/qwen3-coder-480b-a35b-instruct ``` ## 故障排除 ### API 密钥无法识别 ```bash echo $VENICE\_API\_KEY openclaw models list | grep venice ``` 确保密钥以 `vapi\_` 开头。 ### 模型不可用 Venice 模型目录会动态更新。运行 `openclaw models list` 查看当前可用的模型。部分模型可能暂时离线。 ### 连接问题 Venice API 地址为 `https://api.venice.ai/api/v1`。确保你的网络允许 HTTPS 连接。 ## 配置文件示例 ```json5 { env: { VENICE\_API\_KEY: "vapi\_..." }, agents: { defaults: { model: { primary: "venice/llama-3.3-70b" } } }, models: { mode: "merge", providers: { venice: { baseUrl: "https://api.venice.ai/api/v1", apiKey: "${VENICE\_API\_KEY}", api: "openai-completions", models: [ { id: "llama-3.3-70b", name: "Llama 3.3 70B", reasoning: false, input: ["text"], cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 }, contextWindow: 131072, maxTokens: 8192, }, ], }, }, }, } ``` ## 链接 - [Venice AI](https://venice.ai) - [API 文档](https://docs.venice.ai) - [定价](https://venice.ai/pricing) - [状态页](https://status.venice.ai) | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/providers/venice.md | main | opebclaw | [
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# Ollama Ollama 是一个本地 LLM 运行时，可以轻松在你的机器上运行开源模型。OpenClaw 通过 Ollama 的 OpenAI 兼容 API 进行集成，并且当你通过 `OLLAMA\_API\_KEY`（或认证配置）启用且未定义显式的 `models.providers.ollama` 条目时，可以\*\*自动发现支持工具调用的模型\*\*。 ## 快速开始 1. 安装 Ollama：https://ollama.ai 2. 拉取模型： ```bash ollama pull llama3.3 # 或 ollama pull qwen2.5-coder:32b # 或 ollama pull deepseek-r1:32b ``` 3. 为 OpenClaw 启用 Ollama（任意值即可；Ollama 不需要真实密钥）： ```bash # 设置环境变量 export OLLAMA\_API\_KEY="ollama-local" # 或在配置文件中设置 openclaw config set models.providers.ollama.apiKey "ollama-local" ``` 4. 使用 Ollama 模型： ```json5 { agents: { defaults: { model: { primary: "ollama/llama3.3" }, }, }, } ``` ## 模型发现（隐式提供商） 当你设置了 `OLLAMA\_API\_KEY`（或认证配置）且\*\*未\*\*定义 `models.providers.ollama` 时，OpenClaw 会从本地 Ollama 实例 `http://127.0.0.1:11434` 发现模型： - 查询 `/api/tags` 和 `/api/show` - 仅保留报告了 `tools` 能力的模型 - 当模型报告 `thinking` 时标记为 `reasoning` - 在可用时从 `model\_info[".context\_length"]` 读取 `contextWindow` - 将 `maxTokens` 设置为上下文窗口的 10 倍 - 所有费用设置为 `0` 这样无需手动配置模型条目，同时保持目录与 Ollama 的能力对齐。 查看可用模型： ```bash ollama list openclaw models list ``` 要添加新模型，只需通过 Ollama 拉取： ```bash ollama pull mistral ``` 新模型将被自动发现并可供使用。 如果你显式设置了 `models.providers.ollama`，自动发现将被跳过，你必须手动定义模型（见下文）。 ## 配置 ### 基本设置（隐式发现） 启用 Ollama 最简单的方式是通过环境变量： ```bash export OLLAMA\_API\_KEY="ollama-local" ``` ### 显式设置（手动模型） 在以下情况使用显式配置： - Ollama 运行在其他主机/端口上。 - 你想强制指定上下文窗口或模型列表。 - 你想包含未报告工具支持的模型。 ```json5 { models: { providers: { ollama: { // 使用包含 /v1 的主机地址以兼容 OpenAI API baseUrl: "http://ollama-host:11434/v1", apiKey: "ollama-local", api: "openai-completions", models: [ { id: "llama3.3", name: "Llama 3.3", reasoning: false, input: ["text"], cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 }, contextWindow: 8192, maxTokens: 8192 \* 10 } ] } } } } ``` 如果设置了 `OLLAMA\_API\_KEY`，你可以在提供商条目中省略 `apiKey`，OpenClaw 会自动填充以进行可用性检查。 ### 自定义基础 URL（显式配置） 如果 Ollama 运行在不同的主机或端口上（显式配置会禁用自动发现，因此需要手动定义模型）： ```json5 { models: { providers: { ollama: { apiKey: "ollama-local", baseUrl: "http://ollama-host:11434/v1", }, }, }, } ``` ### 模型选择 配置完成后，所有 Ollama 模型即可使用： ```json5 { agents: { defaults: { model: { primary: "ollama/llama3.3", fallback: ["ollama/qwen2.5-coder:32b"], }, }, }, } ``` ## 高级用法 ### 推理模型 当 Ollama 在 `/api/show` 中报告 `thinking` 时，OpenClaw 会将模型标记为具有推理能力： ```bash ollama pull deepseek-r1:32b ``` ### 模型费用 Ollama 免费且在本地运行，因此所有模型费用均设置为 $0。 ### 上下文窗口 对于自动发现的模型，OpenClaw 会使用 Ollama 报告的上下文窗口（如果可用），否则默认为 `8192`。你可以在显式提供商配置中覆盖 `contextWindow` 和 `maxTokens`。 ## 故障排除 ### Ollama 未被检测到 确保 Ollama 正在运行，且你已设置 `OLLAMA\_API\_KEY`（或认证配置），并且\*\*未\*\*定义显式的 `models.providers.ollama` 条目： ```bash ollama serve ``` 同时确认 API 可访问： ```bash curl http://localhost:11434/api/tags ``` ### 没有可用模型 OpenClaw 仅自动发现报告了工具支持的模型。如果你的模型未列出，可以： - 拉取一个支持工具调用的模型，或 - 在 `models.providers.ollama` 中显式定义该模型。 添加模型： ```bash ollama list # 查看已安装的模型 ollama pull llama3.3 # 拉取模型 ``` ### 连接被拒绝 检查 Ollama 是否在正确的端口上运行： ```bash # 检查 Ollama 是否在运行 ps aux | grep ollama # 或重启 Ollama ollama serve ``` ## 另请参阅 - [模型提供商](/concepts/model-providers) - 所有提供商概览 - [模型选择](/concepts/models) - 如何选择模型 - [配置](/gateway/configuration) - 完整配置参考 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/providers/ollama.md | main | opebclaw | [
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# Deepgram（音频转录） Deepgram 是一个语音转文字 API。在 OpenClaw 中，它通过 `tools.media.audio` 用于\*\*接收音频/语音消息的转录\*\*。 启用后，OpenClaw 会将音频文件上传到 Deepgram，并将转录文本注入回复管道（`{{Transcript}}` + `[Audio]` 块）。这\*\*不是流式\*\*处理；它使用的是预录音转录端点。 网站：https://deepgram.com 文档：https://developers.deepgram.com ## 快速开始 1. 设置你的 API 密钥： ``` DEEPGRAM\_API\_KEY=dg\_... ``` 2. 启用提供商： ```json5 { tools: { media: { audio: { enabled: true, models: [{ provider: "deepgram", model: "nova-3" }], }, }, }, } ``` ## 选项 - `model`：Deepgram 模型 ID（默认：`nova-3`） - `language`：语言提示（可选） - `tools.media.audio.providerOptions.deepgram.detect\_language`：启用语言检测（可选） - `tools.media.audio.providerOptions.deepgram.punctuate`：启用标点符号（可选） - `tools.media.audio.providerOptions.deepgram.smart\_format`：启用智能格式化（可选） 带语言参数的示例： ```json5 { tools: { media: { audio: { enabled: true, models: [{ provider: "deepgram", model: "nova-3", language: "en" }], }, }, }, } ``` 带 Deepgram 选项的示例： ```json5 { tools: { media: { audio: { enabled: true, providerOptions: { deepgram: { detect\_language: true, punctuate: true, smart\_format: true, }, }, models: [{ provider: "deepgram", model: "nova-3" }], }, }, }, } ``` ## 注意事项 - 认证遵循标准提供商认证顺序；`DEEPGRAM\_API\_KEY` 是最简单的方式。 - 使用代理时，可通过 `tools.media.audio.baseUrl` 和 `tools.media.audio.headers` 覆盖端点或请求头。 - 输出遵循与其他提供商相同的音频规则（大小限制、超时、转录文本注入）。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/providers/deepgram.md | main | opebclaw | [
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# 模型提供商 OpenClaw 可以使用许多 LLM 提供商。选择一个提供商，进行认证，然后将默认模型设置为 `provider/model`。 正在寻找聊天渠道文档（WhatsApp/Telegram/Discord/Slack/Mattermost（插件）等）？参见[渠道](/channels)。 ## 亮点：Venice（Venice AI） Venice 是我们推荐的 Venice AI 设置，用于隐私优先的推理，并可选择使用 Opus 处理困难任务。 - 默认：`venice/llama-3.3-70b` - 最佳综合：`venice/claude-opus-45`（Opus 仍然是最强的） 参见 [Venice AI](/providers/venice)。 ## 快速开始 1. 与提供商进行认证（通常通过 `openclaw onboard`）。 2. 设置默认模型： ```json5 { agents: { defaults: { model: { primary: "anthropic/claude-opus-4-5" } } }, } ``` ## 提供商文档 - [OpenAI（API + Codex）](/providers/openai) - [Anthropic（API + Claude Code CLI）](/providers/anthropic) - [Qwen（OAuth）](/providers/qwen) - [OpenRouter](/providers/openrouter) - [Vercel AI Gateway](/providers/vercel-ai-gateway) - [Moonshot AI（Kimi + Kimi Coding）](/providers/moonshot) - [OpenCode Zen](/providers/opencode) - [Amazon Bedrock](/bedrock) - [Z.AI](/providers/zai) - [Xiaomi](/providers/xiaomi) - [GLM 模型](/providers/glm) - [MiniMax](/providers/minimax) - [Venice（Venice AI，注重隐私）](/providers/venice) - [Ollama（本地模型）](/providers/ollama) ## 转录提供商 - [Deepgram（音频转录）](/providers/deepgram) ## 社区工具 - [Claude Max API Proxy](/providers/claude-max-api-proxy) - 将 Claude Max/Pro 订阅作为 OpenAI 兼容的 API 端点使用 有关完整的提供商目录（xAI、Groq、Mistral 等）和高级配置， 参见[模型提供商](/concepts/model-providers)。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/providers/index.md | main | opebclaw | [
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# 模型提供商 OpenClaw 可以使用许多 LLM 提供商。选择一个，进行认证，然后将默认模型设置为 `provider/model`。 ## 推荐：Venice（Venice AI） Venice 是我们推荐的 Venice AI 设置，用于隐私优先的推理，并可选择使用 Opus 处理最困难的任务。 - 默认：`venice/llama-3.3-70b` - 最佳综合：`venice/claude-opus-45`（Opus 仍然是最强的） 参见 [Venice AI](/providers/venice)。 ## 快速开始（两个步骤） 1. 与提供商认证（通常通过 `openclaw onboard`）。 2. 设置默认模型： ```json5 { agents: { defaults: { model: { primary: "anthropic/claude-opus-4-5" } } }, } ``` ## 支持的提供商（入门集） - [OpenAI（API + Codex）](/providers/openai) - [Anthropic（API + Claude Code CLI）](/providers/anthropic) - [OpenRouter](/providers/openrouter) - [Vercel AI Gateway](/providers/vercel-ai-gateway) - [Moonshot AI（Kimi + Kimi Coding）](/providers/moonshot) - [Synthetic](/providers/synthetic) - [OpenCode Zen](/providers/opencode) - [Z.AI](/providers/zai) - [GLM 模型](/providers/glm) - [MiniMax](/providers/minimax) - [Venice（Venice AI）](/providers/venice) - [Amazon Bedrock](/bedrock) 有关完整的提供商目录（xAI、Groq、Mistral 等）和高级配置，请参阅[模型提供商](/concepts/model-providers)。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/providers/models.md | main | opebclaw | [
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# MiniMax MiniMax 是一家构建 \*\*M2/M2.1\*\* 模型系列的 AI 公司。当前面向编程的版本是 \*\*MiniMax M2.1\*\*（2025 年 12 月 23 日），专为现实世界的复杂任务而构建。 来源：[MiniMax M2.1 发布说明](https://www.minimax.io/news/minimax-m21) ## 模型概述（M2.1） MiniMax 强调 M2.1 的以下改进： - 更强的\*\*多语言编程\*\*能力（Rust、Java、Go、C++、Kotlin、Objective-C、TS/JS）。 - 更好的 \*\*Web/应用开发\*\*和美观输出质量（包括原生移动端）。 - 改进的\*\*复合指令\*\*处理，适用于办公风格的工作流程，基于交错思考和集成约束执行。 - \*\*更简洁的响应\*\*，更低的 token 使用量和更快的迭代循环。 - 更强的\*\*工具/智能体框架\*\*兼容性和上下文管理（Claude Code、Droid/Factory AI、Cline、Kilo Code、Roo Code、BlackBox）。 - 更高质量的\*\*对话和技术写作\*\*输出。 ## MiniMax M2.1 vs MiniMax M2.1 Lightning - \*\*速度：\*\* Lightning 是 MiniMax 定价文档中的"快速"变体。 - \*\*成本：\*\* 定价显示相同的输入成本，但 Lightning 的输出成本更高。 - \*\*编程计划路由：\*\* Lightning 后端在 MiniMax 编程计划中不能直接使用。MiniMax 自动将大多数请求路由到 Lightning，但在流量高峰期会回退到常规 M2.1 后端。 ## 选择设置方式 ### MiniMax OAuth（编程计划）— 推荐 \*\*适用于：\*\* 通过 OAuth 快速设置 MiniMax 编程计划，无需 API 密钥。 启用内置 OAuth 插件并进行认证： ```bash openclaw plugins enable minimax-portal-auth # 如果已加载则跳过 openclaw gateway restart # 如果 Gateway 网关已在运行则重启 openclaw onboard --auth-choice minimax-portal ``` 系统会提示你选择端点： - \*\*Global\*\* - 国际用户（`api.minimax.io`） - \*\*CN\*\* - 中国用户（`api.minimaxi.com`） 详情参见 [MiniMax OAuth 插件 README](https://github.com/openclaw/openclaw/tree/main/extensions/minimax-portal-auth)。 ### MiniMax M2.1（API 密钥） \*\*适用于：\*\* 使用 Anthropic 兼容 API 的托管 MiniMax。 通过 CLI 配置： - 运行 `openclaw configure` - 选择 \*\*Model/auth\*\* - 选择 \*\*MiniMax M2.1\*\* ```json5 { env: { MINIMAX\_API\_KEY: "sk-..." }, agents: { defaults: { model: { primary: "minimax/MiniMax-M2.1" } } }, models: { mode: "merge", providers: { minimax: { baseUrl: "https://api.minimax.io/anthropic", apiKey: "${MINIMAX\_API\_KEY}", api: "anthropic-messages", models: [ { id: "MiniMax-M2.1", name: "MiniMax M2.1", reasoning: false, input: ["text"], cost: { input: 15, output: 60, cacheRead: 2, cacheWrite: 10 }, contextWindow: 200000, maxTokens: 8192, }, ], }, }, }, } ``` ### MiniMax M2.1 作为备用（Opus 为主） \*\*适用于：\*\* 保持 Opus 4.5 为主模型，故障时切换到 MiniMax M2.1。 ```json5 { env: { MINIMAX\_API\_KEY: "sk-..." }, agents: { defaults: { models: { "anthropic/claude-opus-4-5": { alias: "opus" }, "minimax/MiniMax-M2.1": { alias: "minimax" }, }, model: { primary: "anthropic/claude-opus-4-5", fallbacks: ["minimax/MiniMax-M2.1"], }, }, }, } ``` ### 可选：通过 LM Studio 本地运行（手动） \*\*适用于：\*\* 使用 LM Studio 进行本地推理。 我们在强大硬件（例如台式机/服务器）上使用 LM Studio 的本地服务器运行 MiniMax M2.1 时看到了出色的效果。 通过 `openclaw.json` 手动配置： ```json5 { agents: { defaults: { model: { primary: "lmstudio/minimax-m2.1-gs32" }, models: { "lmstudio/minimax-m2.1-gs32": { alias: "Minimax" } }, }, }, models: { mode: "merge", providers: { lmstudio: { baseUrl: "http://127.0.0.1:1234/v1", apiKey: "lmstudio", api: "openai-responses", models: [ { id: "minimax-m2.1-gs32", name: "MiniMax M2.1 GS32", reasoning: false, input: ["text"], cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 }, contextWindow: 196608, maxTokens: 8192, }, ], }, }, }, } ``` ## 通过 `openclaw configure` 配置 使用交互式配置向导设置 MiniMax，无需编辑 JSON： 1. 运行 `openclaw configure`。 2. 选择 \*\*Model/auth\*\*。 3. 选择 \*\*MiniMax M2.1\*\*。 4. 在提示时选择你的默认模型。 ## 配置选项 - `models.providers.minimax.baseUrl`：推荐使用 `https://api.minimax.io/anthropic`（Anthropic 兼容）；`https://api.minimax.io/v1` 可选用于 OpenAI 兼容的负载。 - `models.providers.minimax.api`：推荐使用 `anthropic-messages`；`openai-completions` 可选用于 OpenAI 兼容的负载。 - `models.providers.minimax.apiKey`：MiniMax API 密钥（`MINIMAX\_API\_KEY`）。 - `models.providers.minimax.models`：定义 `id`、`name`、`reasoning`、`contextWindow`、`maxTokens`、`cost`。 - `agents.defaults.models`：为你想要在允许列表中的模型设置别名。 - `models.mode`：如果你想将 MiniMax 与内置模型一起添加，保持 `merge`。 ## 注意事项 - 模型引用格式为 `minimax/`。 - 编程计划使用量 API：`https://api.minimaxi.com/v1/api/openplatform/coding\_plan/remains`（需要编程计划密钥）。 - 如果需要精确的成本跟踪，请更新 `models.json` 中的定价值。 - MiniMax 编程计划推荐链接（9 折优惠）：https://platform.minimax.io/subscribe/coding-plan?code=DbXJTRClnb&source=link - 参见 [/concepts/model-providers](/concepts/model-providers) 了解提供商规则。 - 使用 `openclaw models list` 和 `openclaw models set minimax/MiniMax-M2.1` 切换模型。 ## 故障排除 ### "Unknown model: minimax/MiniMax-M2.1" 这通常意味着 \*\*MiniMax 提供商未配置\*\*（没有提供商条目，也没有找到 MiniMax 认证配置文件/环境变量密钥）。此检测的修复在 \*\*2026.1.12\*\* 中（撰写本文时尚未发布）。修复方法： - 升级到 \*\*2026.1.12\*\*（或从源码 `main` 分支运行），然后重启 Gateway 网关。 - 运行 `openclaw configure` 并选择 \*\*MiniMax M2.1\*\*，或 - 手动添加 `models.providers.minimax` 块，或 - 设置 `MINIMAX\_API\_KEY`（或 MiniMax 认证配置文件）以便注入提供商。 确保模型 id \*\*区分大小写\*\*： - `minimax/MiniMax-M2.1` - `minimax/MiniMax-M2.1-lightning` 然后重新检查： ```bash openclaw models list ``` | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/providers/minimax.md | main | opebclaw | [
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# Synthetic Synthetic 提供兼容 Anthropic 的端点。OpenClaw 将其注册为 `synthetic` 提供商，并使用 Anthropic Messages API。 ## 快速设置 1. 设置 `SYNTHETIC\_API\_KEY`（或运行以下向导）。 2. 运行新手引导： ```bash openclaw onboard --auth-choice synthetic-api-key ``` 默认模型设置为： ``` synthetic/hf:MiniMaxAI/MiniMax-M2.1 ``` ## 配置示例 ```json5 { env: { SYNTHETIC\_API\_KEY: "sk-..." }, agents: { defaults: { model: { primary: "synthetic/hf:MiniMaxAI/MiniMax-M2.1" }, models: { "synthetic/hf:MiniMaxAI/MiniMax-M2.1": { alias: "MiniMax M2.1" } }, }, }, models: { mode: "merge", providers: { synthetic: { baseUrl: "https://api.synthetic.new/anthropic", apiKey: "${SYNTHETIC\_API\_KEY}", api: "anthropic-messages", models: [ { id: "hf:MiniMaxAI/MiniMax-M2.1", name: "MiniMax M2.1", reasoning: false, input: ["text"], cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 }, contextWindow: 192000, maxTokens: 65536, }, ], }, }, }, } ``` 注意：OpenClaw 的 Anthropic 客户端会自动在 base URL 后追加 `/v1`，因此请使用 `https://api.synthetic.new/anthropic`（而非 `/anthropic/v1`）。如果 Synthetic 更改了其 base URL，请覆盖 `models.providers.synthetic.baseUrl`。 ## 模型目录 以下所有模型的费用均为 `0`（输入/输出/缓存）。 | 模型 ID | 上下文窗口 | 最大令牌数 | 推理 | 输入 | | ------------------------------------------------------ | ---------- | ---------- | ----- | ------------ | | `hf:MiniMaxAI/MiniMax-M2.1` | 192000 | 65536 | false | text | | `hf:moonshotai/Kimi-K2-Thinking` | 256000 | 8192 | true | text | | `hf:zai-org/GLM-4.7` | 198000 | 128000 | false | text | | `hf:deepseek-ai/DeepSeek-R1-0528` | 128000 | 8192 | false | text | | `hf:deepseek-ai/DeepSeek-V3-0324` | 128000 | 8192 | false | text | | `hf:deepseek-ai/DeepSeek-V3.1` | 128000 | 8192 | false | text | | `hf:deepseek-ai/DeepSeek-V3.1-Terminus` | 128000 | 8192 | false | text | | `hf:deepseek-ai/DeepSeek-V3.2` | 159000 | 8192 | false | text | | `hf:meta-llama/Llama-3.3-70B-Instruct` | 128000 | 8192 | false | text | | `hf:meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8` | 524000 | 8192 | false | text | | `hf:moonshotai/Kimi-K2-Instruct-0905` | 256000 | 8192 | false | text | | `hf:openai/gpt-oss-120b` | 128000 | 8192 | false | text | | `hf:Qwen/Qwen3-235B-A22B-Instruct-2507` | 256000 | 8192 | false | text | | `hf:Qwen/Qwen3-Coder-480B-A35B-Instruct` | 256000 | 8192 | false | text | | `hf:Qwen/Qwen3-VL-235B-A22B-Instruct` | 250000 | 8192 | false | text + image | | `hf:zai-org/GLM-4.5` | 128000 | 128000 | false | text | | `hf:zai-org/GLM-4.6` | 198000 | 128000 | false | text | | `hf:deepseek-ai/DeepSeek-V3` | 128000 | 8192 | false | text | | `hf:Qwen/Qwen3-235B-A22B-Thinking-2507` | 256000 | 8192 | true | text | ## 注意事项 - 模型引用格式为 `synthetic/`。 - 如果启用了模型允许列表（`agents.defaults.models`），请添加你计划使用的所有模型。 - 参阅[模型提供商](/concepts/model-providers)了解提供商规则。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/providers/synthetic.md | main | opebclaw | [
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# Moonshot AI (Kimi) Moonshot 提供兼容 OpenAI 端点的 Kimi API。配置提供商并将默认模型设置为 `moonshot/kimi-k2.5`，或使用 Kimi Coding 的 `kimi-coding/k2p5`。 当前 Kimi K2 模型 ID： {/\_ moonshot-kimi-k2-ids:start \_/} - `kimi-k2.5` - `kimi-k2-0905-preview` - `kimi-k2-turbo-preview` - `kimi-k2-thinking` - `kimi-k2-thinking-turbo` {/\_ moonshot-kimi-k2-ids:end \_/} ```bash openclaw onboard --auth-choice moonshot-api-key ``` Kimi Coding： ```bash openclaw onboard --auth-choice kimi-code-api-key ``` 注意：Moonshot 和 Kimi Coding 是独立的提供商。密钥不可互换，端点不同，模型引用也不同（Moonshot 使用 `moonshot/...`，Kimi Coding 使用 `kimi-coding/...`）。 ## 配置片段（Moonshot API） ```json5 { env: { MOONSHOT\_API\_KEY: "sk-..." }, agents: { defaults: { model: { primary: "moonshot/kimi-k2.5" }, models: { // moonshot-kimi-k2-aliases:start "moonshot/kimi-k2.5": { alias: "Kimi K2.5" }, "moonshot/kimi-k2-0905-preview": { alias: "Kimi K2" }, "moonshot/kimi-k2-turbo-preview": { alias: "Kimi K2 Turbo" }, "moonshot/kimi-k2-thinking": { alias: "Kimi K2 Thinking" }, "moonshot/kimi-k2-thinking-turbo": { alias: "Kimi K2 Thinking Turbo" }, // moonshot-kimi-k2-aliases:end }, }, }, models: { mode: "merge", providers: { moonshot: { baseUrl: "https://api.moonshot.ai/v1", apiKey: "${MOONSHOT\_API\_KEY}", api: "openai-completions", models: [ // moonshot-kimi-k2-models:start { id: "kimi-k2.5", name: "Kimi K2.5", reasoning: false, input: ["text"], cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 }, contextWindow: 256000, maxTokens: 8192, }, { id: "kimi-k2-0905-preview", name: "Kimi K2 0905 Preview", reasoning: false, input: ["text"], cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 }, contextWindow: 256000, maxTokens: 8192, }, { id: "kimi-k2-turbo-preview", name: "Kimi K2 Turbo", reasoning: false, input: ["text"], cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 }, contextWindow: 256000, maxTokens: 8192, }, { id: "kimi-k2-thinking", name: "Kimi K2 Thinking", reasoning: true, input: ["text"], cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 }, contextWindow: 256000, maxTokens: 8192, }, { id: "kimi-k2-thinking-turbo", name: "Kimi K2 Thinking Turbo", reasoning: true, input: ["text"], cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 }, contextWindow: 256000, maxTokens: 8192, }, // moonshot-kimi-k2-models:end ], }, }, }, } ``` ## Kimi Coding ```json5 { env: { KIMI\_API\_KEY: "sk-..." }, agents: { defaults: { model: { primary: "kimi-coding/k2p5" }, models: { "kimi-coding/k2p5": { alias: "Kimi K2.5" }, }, }, }, } ``` ## 注意事项 - Moonshot 模型引用使用 `moonshot/`。Kimi Coding 模型引用使用 `kimi-coding/`。 - 如有需要，可在 `models.providers` 中覆盖定价和上下文元数据。 - 如果 Moonshot 发布了某个模型的不同上下文限制，请相应调整 `contextWindow`。 - 如需使用中国端点，请使用 `https://api.moonshot.cn/v1`。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/providers/moonshot.md | main | opebclaw | [
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# Vercel AI Gateway [Vercel AI Gateway](https://vercel.com/ai-gateway) 提供了一个统一的 API，通过单一端点访问数百个模型。 - 提供商：`vercel-ai-gateway` - 认证：`AI\_GATEWAY\_API\_KEY` - API：兼容 Anthropic Messages ## 快速开始 1. 设置 API 密钥（推荐：为 Gateway 网关存储它）： ```bash openclaw onboard --auth-choice ai-gateway-api-key ``` 2. 设置默认模型： ```json5 { agents: { defaults: { model: { primary: "vercel-ai-gateway/anthropic/claude-opus-4.5" }, }, }, } ``` ## 非交互式示例 ```bash openclaw onboard --non-interactive \ --mode local \ --auth-choice ai-gateway-api-key \ --ai-gateway-api-key "$AI\_GATEWAY\_API\_KEY" ``` ## 环境变量说明 如果 Gateway 网关作为守护进程运行（launchd/systemd），请确保 `AI\_GATEWAY\_API\_KEY` 对该进程可用（例如，在 `~/.openclaw/.env` 中或通过 `env.shellEnv`）。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/providers/vercel-ai-gateway.md | main | opebclaw | [
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# GitHub Copilot ## 什么是 GitHub Copilot？ GitHub Copilot 是 GitHub 的 AI 编程助手。它为你的 GitHub 账户和订阅计划提供 Copilot 模型的访问权限。OpenClaw 可以通过两种不同的方式将 Copilot 用作模型提供商。 ## 在 OpenClaw 中使用 Copilot 的两种方式 ### 1）内置 GitHub Copilot 提供商（`github-copilot`） 使用原生设备登录流程获取 GitHub 令牌，然后在 OpenClaw 运行时将其兑换为 Copilot API 令牌。这是\*\*默认\*\*且最简单的方式，因为它不需要 VS Code。 ### 2）Copilot Proxy 插件（`copilot-proxy`） 使用 \*\*Copilot Proxy\*\* VS Code 扩展作为本地桥接。OpenClaw 与代理的 `/v1` 端点通信，并使用你在其中配置的模型列表。当你已经在 VS Code 中运行 Copilot Proxy 或需要通过它进行路由时，选择此方式。你必须启用该插件并保持 VS Code 扩展运行。 使用 GitHub Copilot 作为模型提供商（`github-copilot`）。登录命令运行 GitHub 设备流程，保存认证配置文件，并更新你的配置以使用该配置文件。 ## CLI 设置 ```bash openclaw models auth login-github-copilot ``` 系统会提示你访问一个 URL 并输入一次性代码。请保持终端打开直到流程完成。 ### 可选参数 ```bash openclaw models auth login-github-copilot --profile-id github-copilot:work openclaw models auth login-github-copilot --yes ``` ## 设置默认模型 ```bash openclaw models set github-copilot/gpt-4o ``` ### 配置片段 ```json5 { agents: { defaults: { model: { primary: "github-copilot/gpt-4o" } } }, } ``` ## 注意事项 - 需要交互式 TTY；请直接在终端中运行。 - Copilot 模型的可用性取决于你的订阅计划；如果某个模型被拒绝，请尝试其他 ID（例如 `github-copilot/gpt-4.1`）。 - 登录会将 GitHub 令牌存储在认证配置文件中，并在 OpenClaw 运行时将其兑换为 Copilot API 令牌。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/providers/github-copilot.md | main | opebclaw | [
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# 新手引导向导（CLI） 新手引导向导是在 macOS、Linux 或 Windows（通过 WSL2；强烈推荐）上设置 OpenClaw 的\*\*推荐\*\*方式。 它可以在一个引导式流程中配置本地 Gateway 网关或远程 Gateway 网关连接，以及渠道、Skills 和工作区默认值。 主要入口： ```bash openclaw onboard ``` 最快开始聊天的方式：打开控制界面（无需设置渠道）。运行 `openclaw dashboard` 并在浏览器中聊天。文档：[控制面板](/web/dashboard)。 后续重新配置： ```bash openclaw configure ``` 推荐：设置 Brave Search API 密钥，以便智能体可以使用 `web\_search`（`web\_fetch` 无需密钥即可使用）。最简单的方式：`openclaw configure --section web`，它会存储 `tools.web.search.apiKey`。文档：[Web 工具](/tools/web)。 ## 快速开始 vs 高级 向导从\*\*快速开始\*\*（默认值）vs \*\*高级\*\*（完全控制）开始。 \*\*快速开始\*\*保持默认值： - 本地 Gateway 网关（loopback） - 默认工作区（或现有工作区） - Gateway 网关端口 \*\*18789\*\* - Gateway 网关认证 \*\*Token\*\*（自动生成，即使在 loopback 上） - Tailscale 暴露 \*\*关闭\*\* - Telegram + WhatsApp 私信默认使用\*\*允许列表\*\*（系统会提示你输入电话号码） \*\*高级\*\*暴露每个步骤（模式、工作区、Gateway 网关、渠道、守护进程、Skills）。 ## 向导做了什么 \*\*本地模式（默认）\*\*引导你完成： - 模型/认证（OpenAI Code (Codex) 订阅 OAuth、Anthropic API 密钥（推荐）或 setup-token（粘贴），以及 MiniMax/GLM/Moonshot/AI Gateway 选项） - 工作区位置 + 引导文件 - Gateway 网关设置（端口/绑定/认证/tailscale） - 提供商（Telegram、WhatsApp、Discord、Google Chat、Mattermost（插件）、Signal） - 守护进程安装（LaunchAgent / systemd 用户单元） - 健康检查 - Skills（推荐） \*\*远程模式\*\*仅配置本地客户端连接到其他位置的 Gateway 网关。 它\*\*不会\*\*在远程主机上安装或更改任何内容。 要添加更多隔离的智能体（独立的工作区 + 会话 + 认证），使用： ```bash openclaw agents add ``` 提示：`--json` \*\*不\*\*意味着非交互模式。脚本中请使用 `--non-interactive`（和 `--workspace`）。 ## 流程详情（本地） 1. \*\*现有配置检测\*\* - 如果 `~/.openclaw/openclaw.json` 存在，选择\*\*保留 / 修改 / 重置\*\*。 - 重新运行向导\*\*不会\*\*清除任何内容，除非你明确选择\*\*重置\*\*（或传递 `--reset`）。 - 如果配置无效或包含遗留键名，向导会停止并要求你在继续之前运行 `openclaw doctor`。 - 重置使用 `trash`（永不使用 `rm`）并提供范围选项： - 仅配置 - 配置 + 凭证 + 会话 - 完全重置（同时删除工作区） 2. \*\*模型/认证\*\* - \*\*Anthropic API 密钥（推荐）\*\*：如果存在则使用 `ANTHROPIC\_API\_KEY`，否则提示输入密钥，然后保存供守护进程使用。 - \*\*Anthropic OAuth（Claude Code CLI）\*\*：在 macOS 上，向导检查钥匙串项目"Claude Code-credentials"（选择"始终允许"以便 launchd 启动不会阻塞）；在 Linux/Windows 上，如果存在则复用 `~/.claude/.credentials.json`。 - \*\*Anthropic 令牌（粘贴 setup-token）\*\*：在任何机器上运行 `claude setup-token`，然后粘贴令牌（你可以命名它；空白 = 默认）。 - \*\*OpenAI Code (Codex) 订阅（Codex CLI）\*\*：如果 `~/.codex/auth.json` 存在，向导可以复用它。 - \*\*OpenAI Code (Codex) 订阅（OAuth）\*\*：浏览器流程；粘贴 `code#state`。 - 当模型未设置或为 `openai/\*` 时，将 `agents.defaults.model` 设置为 `openai-codex/gpt-5.2`。 - \*\*OpenAI API 密钥\*\*：如果存在则使用 `OPENAI\_API\_KEY`，否则提示输入密钥，然后保存到 `~/.openclaw/.env` 以便 launchd 可以读取。 - \*\*OpenCode Zen（多模型代理）\*\*：提示输入 `OPENCODE\_API\_KEY`（或 `OPENCODE\_ZEN\_API\_KEY`，在 https://opencode.ai/auth 获取）。 - \*\*API 密钥\*\*：为你存储密钥。 - \*\*Vercel AI Gateway（多模型代理）\*\*：提示输入 `AI\_GATEWAY\_API\_KEY`。 - 更多详情：[Vercel AI Gateway](/providers/vercel-ai-gateway) - \*\*MiniMax M2.1\*\*：自动写入配置。 - 更多详情：[MiniMax](/providers/minimax) - \*\*Synthetic（Anthropic 兼容）\*\*：提示输入 `SYNTHETIC\_API\_KEY`。 - 更多详情：[Synthetic](/providers/synthetic) - \*\*Moonshot（Kimi K2）\*\*：自动写入配置。 - \*\*Kimi Coding\*\*：自动写入配置。 - 更多详情：[Moonshot AI（Kimi + Kimi Coding）](/providers/moonshot) - \*\*跳过\*\*：尚未配置认证。 - 从检测到的选项中选择默认模型（或手动输入提供商/模型）。 - 向导运行模型检查，如果配置的模型未知或缺少认证则发出警告。 - OAuth 凭证存储在 `~/.openclaw/credentials/oauth.json`；认证配置文件存储在 `~/.openclaw/agents//agent/auth-profiles.json`（API 密钥 + OAuth）。 - 更多详情：[/concepts/oauth](/concepts/oauth) 3. \*\*工作区\*\* - 默认 `~/.openclaw/workspace`（可配置）。 - 为智能体引导仪式播种所需的工作区文件。 - 完整的工作区布局 + 备份指南：[智能体工作区](/concepts/agent-workspace) 4. \*\*Gateway 网关\*\* - 端口、绑定、认证模式、tailscale 暴露。 - 认证建议：即使对于 loopback 也保持 \*\*Token\*\*，以便本地 WS 客户端必须进行认证。 - 仅当你完全信任每个本地进程时才禁用认证。 - 非 loopback 绑定仍需要认证。 5. \*\*渠道\*\* - [WhatsApp](/channels/whatsapp)：可选的二维码登录。 - [Telegram](/channels/telegram)：机器人令牌。 - [Discord](/channels/discord)：机器人令牌。 - [Google Chat](/channels/googlechat)：服务账户 JSON + webhook 受众。 - [Mattermost](/channels/mattermost)（插件）：机器人令牌 + 基础 URL。 - [Signal](/channels/signal)：可选的 `signal-cli` 安装 + 账户配置。 - [iMessage](/channels/imessage)：本地 `imsg` CLI 路径 + 数据库访问。 - 私信安全：默认为配对。第一条私信发送验证码；通过 `openclaw pairing approve ```` ` 批准或使用允许列表。 6. **守护进程安装** - macOS：LaunchAgent - 需要已登录的用户会话；对于无头环境，使用自定义 LaunchDaemon（未提供）。 - Linux（和通过 WSL2 的 Windows）：systemd 用户单元 - 向导尝试通过 `loginctl enable-linger ` 启用 lingering，以便 Gateway 网关在注销后保持运行。 - 可能提示 sudo（写入 `/var/lib/systemd/linger`）；它首先尝试不使用 sudo。 - **运行时选择：**Node（推荐；WhatsApp/Telegram 需要）。**不推荐** Bun。 7. **健康检查** - 启动 Gateway 网关（如果需要）并运行 `openclaw health`。 - 提示：`openclaw status --deep` 在状态输出中添加 Gateway 网关健康探测（需要可达的 Gateway 网关）。 8. **Skills（推荐）** - 读取可用的 Skills 并检查要求。 - 让你选择节点管理器：**npm / pnpm**（不推荐 bun）。 - 安装可选依赖项（某些在 macOS 上使用 Homebrew）。 9. **完成** - 总结 + 后续步骤，包括用于额外功能的 iOS/Android/macOS 应用。 - 如果未检测到 GUI，向导会打印控制界面的 SSH 端口转发说明，而不是打开浏览器。 - 如果控制界面资源缺失，向导会尝试构建它们；回退方案是 `pnpm ui:build`（自动安装 UI 依赖）。 ## 远程模式 远程模式配置本地客户端连接到其他位置的 Gateway 网关。 你将设置的内容： - 远程 Gateway 网关 URL（`ws://...`） - 如果远程 Gateway 网关需要认证则需要令牌（推荐） 注意事项： - 不执行远程安装或守护进程更改。 - 如果 Gateway 网关仅限 loopback，使用 SSH 隧道或 tailnet。 - 发现提示： - macOS：Bonjour（`dns-sd`） - Linux：Avahi（`avahi-browse`） ## 添加另一个智能体 使用 `openclaw agents add ` 创建一个具有独立工作区、会话和认证配置文件的单独智能体。不带 `--workspace` 运行会启动向导。 它设置的内容： - `agents.list[].name` - `agents.list[].workspace` - `agents.list[].agentDir` 注意事项： - 默认工作区遵循 `~/.openclaw/workspace-`。 - 添加 `bindings` 以路由入站消息（向导可以执行此操作）。 - 非交互标志：`--model`、`--agent-dir`、`--bind`、`--non-interactive`。 ## 非交互模式 使用 `--non-interactive` 自动化或脚本化新手引导： ```bash openclaw onboard --non-interactive \ --mode local \ --auth-choice apiKey \ --anthropic-api-key "$ANTHROPIC_API_KEY" \ --gateway-port 18789 \ --gateway-bind loopback \ --install-daemon \ --daemon-runtime node \ --skip-skills ``` 添加 `--json` 以获取机器可读的摘要。 Gemini 示例： ```bash openclaw onboard --non-interactive \ --mode local \ --auth-choice gemini-api-key \ --gemini-api-key "$GEMINI_API_KEY" \ --gateway-port 18789 \ --gateway-bind loopback ``` Z.AI 示例： ```bash openclaw onboard --non-interactive \ --mode local \ --auth-choice zai-api-key \ --zai-api-key "$ZAI_API_KEY" \ --gateway-port 18789 \ --gateway-bind loopback ``` Vercel AI Gateway 示例： ```bash openclaw onboard --non-interactive \ --mode local \ --auth-choice ai-gateway-api-key \ --ai-gateway-api-key "$AI_GATEWAY_API_KEY" \ --gateway-port 18789 \ --gateway-bind loopback ``` Moonshot 示例： ```bash openclaw onboard --non-interactive \ --mode | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/start/wizard.md | main | opebclaw | [
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onboard --non-interactive \ --mode local \ --auth-choice zai-api-key \ --zai-api-key "$ZAI_API_KEY" \ --gateway-port 18789 \ --gateway-bind loopback ``` Vercel AI Gateway 示例： ```bash openclaw onboard --non-interactive \ --mode local \ --auth-choice ai-gateway-api-key \ --ai-gateway-api-key "$AI_GATEWAY_API_KEY" \ --gateway-port 18789 \ --gateway-bind loopback ``` Moonshot 示例： ```bash openclaw onboard --non-interactive \ --mode local \ --auth-choice moonshot-api-key \ --moonshot-api-key "$MOONSHOT_API_KEY" \ --gateway-port 18789 \ --gateway-bind loopback ``` Synthetic 示例： ```bash openclaw onboard --non-interactive \ --mode local \ --auth-choice synthetic-api-key \ --synthetic-api-key "$SYNTHETIC_API_KEY" \ --gateway-port 18789 \ --gateway-bind loopback ``` OpenCode Zen 示例： ```bash openclaw onboard --non-interactive \ --mode local \ --auth-choice opencode-zen \ --opencode-zen-api-key "$OPENCODE_API_KEY" \ --gateway-port 18789 \ --gateway-bind loopback ``` 添加智能体（非交互）示例： ```bash openclaw agents add work \ --workspace ~/.openclaw/workspace-work \ --model openai/gpt-5.2 \ --bind whatsapp:biz \ --non-interactive \ --json ``` ## Gateway 网关向导 RPC Gateway 网关通过 RPC 暴露向导流程（`wizard.start`、`wizard.next`、`wizard.cancel`、`wizard.status`）。 客户端（macOS 应用、控制界面）可以渲染步骤而无需重新实现新手引导逻辑。 ## Signal 设置（signal-cli） 向导可以从 GitHub releases 安装 `signal-cli`： - 下载适当的发布资源。 - 存储在 `~/.openclaw/tools/signal-cli//` 下。 - 将 `channels.signal.cliPath` 写入你的配置。 注意事项： - JVM 构建需要 **Java 21**。 - 可用时使用原生构建。 - Windows 使用 WSL2；signal-cli 安装在 WSL 内遵循 Linux 流程。 ## 向导写入的内容 `~/.openclaw/openclaw.json` 中的典型字段： - `agents.defaults.workspace` - `agents.defaults.model` / `models.providers`（如果选择了 Minimax） - `gateway.*`（模式、绑定、认证、tailscale） - `channels.telegram.botToken`、`channels.discord.token`、`channels.signal.*`、`channels.imessage.*` - 当你在提示中选择加入时的渠道允许列表（Slack/Discord/Matrix/Microsoft Teams）（名称在可能时解析为 ID）。 - `skills.install.nodeManager` - `wizard.lastRunAt` - `wizard.lastRunVersion` - `wizard.lastRunCommit` - `wizard.lastRunCommand` - `wizard.lastRunMode` `openclaw agents add` 写入 `agents.list[]` 和可选的 `bindings`。 WhatsApp 凭证存储在 `~/.openclaw/credentials/whatsapp//` 下。 会话存储在 `~/.openclaw/agents//sessions/` 下。 某些渠道以插件形式提供。当你在新手引导期间选择一个时，向导会在配置之前提示安装它（npm 或本地路径）。 ## 相关文档 - macOS 应用新手引导：[新手引导](/start/onboarding) - 配置参考：[Gateway 网关配置](/gateway/configuration) - 提供商：[WhatsApp](/channels/whatsapp)、[Telegram](/channels/telegram)、[Discord](/channels/discord)、[Google Chat](/channels/googlechat)、[Signal](/channels/signal)、[iMessage](/channels/imessage) - Skills：[Skills](/tools/skills)、[Skills 配置](/tools/skills-config) ```` | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/start/wizard.md | main | opebclaw | [
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# 设置 最后更新：2026-01-01 ## 太长不看 - \*\*个性化设置存放在仓库之外：\*\* `~/.openclaw/workspace`（工作区）+ `~/.openclaw/openclaw.json`（配置）。 - \*\*稳定工作流：\*\* 安装 macOS 应用；让它运行内置的 Gateway 网关。 - \*\*前沿工作流：\*\* 通过 `pnpm gateway:watch` 自己运行 Gateway 网关，然后让 macOS 应用以本地模式连接。 ## 先决条件（从源码） - Node `>=22` - `pnpm` - Docker（可选；仅用于容器化设置/e2e — 参阅 [Docker](/install/docker)） ## 个性化策略（让更新不会造成问题） 如果你想要"100% 为我定制"\*并且\*易于更新，将你的自定义内容保存在： - \*\*配置：\*\* `~/.openclaw/openclaw.json`（JSON/JSON5 格式） - \*\*工作区：\*\* `~/.openclaw/workspace`（Skills、提示、记忆；将其设为私有 git 仓库） 引导一次： ```bash openclaw setup ``` 在此仓库内部，使用本地 CLI 入口： ```bash openclaw setup ``` 如果你还没有全局安装，通过 `pnpm openclaw setup` 运行它。 ## 稳定工作流（macOS 应用优先） 1. 安装并启动 \*\*OpenClaw.app\*\*（菜单栏）。 2. 完成新手引导/权限检查清单（TCC 提示）。 3. 确保 Gateway 网关是\*\*本地\*\*并正在运行（应用管理它）。 4. 链接表面（示例：WhatsApp）： ```bash openclaw channels login ``` 5. 完整性检查： ```bash openclaw health ``` 如果你的构建版本中没有新手引导： - 运行 `openclaw setup`，然后 `openclaw channels login`，然后手动启动 Gateway 网关（`openclaw gateway`）。 ## 前沿工作流（在终端中运行 Gateway 网关） 目标：开发 TypeScript Gateway 网关，获得热重载，保持 macOS 应用 UI 连接。 ### 0)（可选）也从源码运行 macOS 应用 如果你也想让 macOS 应用保持前沿： ```bash ./scripts/restart-mac.sh ``` ### 1) 启动开发 Gateway 网关 ```bash pnpm install pnpm gateway:watch ``` `gateway:watch` 以监视模式运行 Gateway 网关，并在 TypeScript 更改时重新加载。 ### 2) 将 macOS 应用指向你正在运行的 Gateway 网关 在 \*\*OpenClaw.app\*\* 中： - 连接模式：\*\*本地\*\* 应用将连接到在配置端口上运行的 Gateway 网关。 ### 3) 验证 - 应用内 Gateway 网关状态应显示 \*\*"Using existing gateway …"\*\* - 或通过 CLI： ```bash openclaw health ``` ### 常见陷阱 - \*\*端口错误：\*\* Gateway 网关 WS 默认为 `ws://127.0.0.1:18789`；保持应用 + CLI 在同一端口上。 - \*\*状态存储位置：\*\* - 凭证：`~/.openclaw/credentials/` - 会话：`~/.openclaw/agents//sessions/` - 日志：`/tmp/openclaw/` ## 凭证存储映射 在调试认证或决定备份什么时使用此映射： - \*\*WhatsApp\*\*：`~/.openclaw/credentials/whatsapp//creds.json` - \*\*Telegram bot token\*\*：配置/环境变量或 `channels.telegram.tokenFile` - \*\*Discord bot token\*\*：配置/环境变量（尚不支持令牌文件） - \*\*Slack tokens\*\*：配置/环境变量（`channels.slack.\*`） - \*\*配对允许列表\*\*：`~/.openclaw/credentials/-allowFrom.json` - \*\*模型认证配置文件\*\*：`~/.openclaw/agents//agent/auth-profiles.json` - \*\*旧版 OAuth 导入\*\*：`~/.openclaw/credentials/oauth.json` 更多详情：[安全](/gateway/security#credential-storage-map)。 ## 更新（不破坏你的设置） - 将 `~/.openclaw/workspace` 和 `~/.openclaw/` 保持为"你的东西"；不要将个人提示/配置放入 `openclaw` 仓库。 - 更新源码：`git pull` + `pnpm install`（当锁文件更改时）+ 继续使用 `pnpm gateway:watch`。 ## Linux（systemd 用户服务） Linux 安装使用 systemd \*\*用户\*\*服务。默认情况下，systemd 在注销/空闲时停止用户服务，这会终止 Gateway 网关。新手引导会尝试为你启用 lingering（可能提示 sudo）。如果仍然关闭，运行： ```bash sudo loginctl enable-linger $USER ``` 对于常驻或多用户服务器，考虑使用\*\*系统\*\*服务而不是用户服务（不需要 lingering）。参阅 [Gateway 网关运行手册](/gateway) 了解 systemd 说明。 ## 相关文档 - [Gateway 网关运行手册](/gateway)（标志、监督、端口） - [Gateway 网关配置](/gateway/configuration)（配置模式 + 示例） - [Discord](/channels/discord) 和 [Telegram](/channels/telegram)（回复标签 + replyToMode 设置） - [OpenClaw 助手设置](/start/openclaw) - [macOS 应用](/platforms/macos)（Gateway 网关生命周期） | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/start/setup.md | main | opebclaw | [
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# 案例展示 来自社区的真实项目。看看大家正在用 OpenClaw 构建什么。 \*\*想要展示你的项目？\*\* 在 [Discord 的 #showcase 频道](https://discord.gg/clawd) 分享或在 [X 上 @openclaw](https://x.com/openclaw)。 ## 🎥 OpenClaw 实战演示 VelvetShark 的完整设置演练（28 分钟）。[在 YouTube 上观看](https://www.youtube.com/watch?v=SaWSPZoPX34)[在 YouTube 上观看](https://www.youtube.com/watch?v=mMSKQvlmFuQ)[在 YouTube 上观看](https://www.youtube.com/watch?v=5kkIJNUGFho) ## 🆕 Discord 最新分享 \*\*@bangnokia\*\* • `review` `github` `telegram` OpenCode 完成更改 → 打开 PR → OpenClaw 审查差异并在 Telegram 中回复"小建议"加上明确的合并决定（包括需要先应用的关键修复）。 \*\*@prades\_maxime\*\* • `skills` `local` `csv` 向"Robby"（@openclaw）请求一个本地酒窖 skill。它请求一个示例 CSV 导出 + 存储位置，然后快速构建/测试该 skill（示例中有 962 瓶酒）。 \*\*@marchattonhere\*\* • `automation` `browser` `shopping` 每周餐饮计划 → 常购商品 → 预订配送时段 → 确认订单。无需 API，仅使用浏览器控制。 \*\*@am-will\*\* • `devtools` `screenshots` `markdown` 快捷键选择屏幕区域 → Gemini 视觉 → 即时 Markdown 到剪贴板。 \*\*@kitze\*\* • `ui` `skills` `sync` 跨 Agents、Claude、Codex 和 OpenClaw 管理 skills/命令的桌面应用。 \*\*社区\*\* • `voice` `tts` `telegram` 封装 papla.media TTS 并将结果作为 Telegram 语音备忘录发送（无烦人的自动播放）。 \*\*@odrobnik\*\* • `devtools` `codex` `brew` Homebrew 安装的助手工具，用于列出/检查/监视本地 OpenAI Codex 会话（CLI + VS Code）。 \*\*@tobiasbischoff\*\* • `hardware` `3d-printing` `skill` 控制和排查 BambuLab 打印机：状态、任务、摄像头、AMS、校准等。 \*\*@hjanuschka\*\* • `travel` `transport` `skill` 维也纳公共交通的实时发车时间、中断信息、电梯状态和路线规划。 \*\*@George5562\*\* • `automation` `browser` `parenting` 通过 ParentPay 自动预订英国学校餐食。使用鼠标坐标实现可靠的表格单元格点击。 \*\*@julianengel\*\* • `files` `r2` `presigned-urls` 上传到 Cloudflare R2/S3 并生成安全的预签名下载链接。非常适合远程 OpenClaw 实例。 \*\*@coard\*\* • `ios` `xcode` `testflight` 构建了一个完整的带有地图和语音录制功能的 iOS 应用，完全通过 Telegram 聊天部署到 TestFlight。 \*\*@AS\*\* • `health` `oura` `calendar` 个人 AI 健康助手，将 Oura 戒指数据与日历、预约和健身房计划集成。 \*\*@adam91holt\*\* • `multi-agent` `orchestration` `architecture` `manifesto` 一个 Gateway 网关下的 14+ 智能体，Opus 4.5 编排器将任务委派给 Codex 工作者。全面的[技术文章](https://github.com/adam91holt/orchestrated-ai-articles)涵盖梦之队阵容、模型选择、沙箱隔离、webhook、心跳和委派流程。用于智能体沙箱隔离的 [Clawdspace](https://github.com/adam91holt/clawdspace)。[博客文章](https://adams-ai-journey.ghost.io/2026-the-year-of-the-orchestrator/)。 \*\*@NessZerra\*\* • `devtools` `linear` `cli` `issues` 与智能体工作流（Claude Code、OpenClaw）集成的 Linear CLI。从终端管理问题、项目和工作流。首个外部 PR 已合并！ \*\*@jules\*\* • `messaging` `beeper` `cli` `automation` 通过 Beeper Desktop 读取、发送和归档消息。使用 Beeper 本地 MCP API，让智能体可以在一个地方管理你的所有聊天（iMessage、WhatsApp 等）。 ## 🤖 自动化与工作流 \*\*@antonplex\*\* • `automation` `hardware` `air-quality` Claude Code 发现并确认了净化器控制，然后 OpenClaw 接管来管理房间空气质量。 \*\*@signalgaining\*\* • `automation` `camera` `skill` `images` 由屋顶摄像头触发：让 OpenClaw 在天空看起来很美的时候拍一张照片——它设计了一个 skill 并拍摄了照片。 \*\*@buddyhadry\*\* • `automation` `briefing` `images` `telegram` 定时提示每天早上通过 OpenClaw 角色生成一张"场景"图片（天气、任务、日期、喜欢的帖子/引言）。 \*\*@joshp123\*\* • `automation` `booking` `cli` Playtomic 可用性检查器 + 预订 CLI。再也不会错过空闲场地。 \*\*社区\*\* • `automation` `email` `pdf` 从邮件收集 PDF，为税务顾问准备文档。月度会计自动运行。 \*\*@davekiss\*\* • `telegram` `website` `migration` `astro` 一边看 Netflix 一边通过 Telegram 重建整个个人网站——Notion → Astro，迁移了 18 篇文章，DNS 转到 Cloudflare。从未打开笔记本电脑。 \*\*@attol8\*\* • `automation` `api` `skill` 搜索职位列表，与简历关键词匹配，返回带链接的相关机会。使用 JSearch API 在 30 分钟内构建。 \*\*@jdrhyne\*\* • `automation` `jira` `skill` `devtools` OpenClaw 连接到 Jira，然后即时生成一个新的 skill（在它出现在 ClawHub 之前）。 \*\*@iamsubhrajyoti\*\* • `automation` `todoist` `skill` `telegram` 自动化 Todoist 任务，并让 OpenClaw 直接在 Telegram 聊天中生成 skill。 \*\*@bheem1798\*\* • `finance` `browser` `automation` 通过浏览器自动化登录 TradingView，截取图表屏幕截图，并按需执行技术分析。无需 API——只需浏览器控制。 \*\*@henrymascot\*\* • `slack` `automation` `support` 监视公司 Slack 频道，提供有用的回复，并将通知转发到 Telegram。在没有被要求的情况下自主修复了已部署应用中的生产 bug。 ## 🧠 知识与记忆 \*\*@joshp123\*\* • `learning` `voice` `skill` 通过 OpenClaw 实现带有发音反馈和学习流程的中文学习引擎。 \*\*社区\*\* • `memory` `transcription` `indexing` 导入完整的 WhatsApp 导出，转录 1k+ 条语音备忘录，与 git 日志交叉检查，输出链接的 markdown 报告。 \*\*@jamesbrooksco\*\* • `search` `vector` `bookmarks` 使用 Qdrant + OpenAI/Ollama embeddings 为 Karakeep 书签添加向量搜索。 \*\*社区\*\* • `memory` `beliefs` `self-model` 独立的记忆管理器，将会话文件转化为记忆 → 信念 → 演化的自我模型。 ## 🎙️ 语音与电话 \*\*@alejandroOPI\*\* • `voice` `vapi` `bridge` Vapi 语音助手 ↔ OpenClaw HTTP 桥接。与你的智能体进行近实时电话通话。 \*\*@obviyus\*\* • `transcription` `multilingual` `skill` 通过 OpenRouter（Gemini 等）进行多语言音频转录。可在 ClawHub 获取。 ## 🏗️ 基础设施与部署 \*\*@ngutman\*\* • `homeassistant` `docker` `raspberry-pi` 在 Home Assistant OS 上运行的 OpenClaw Gateway 网关，支持 SSH 隧道和持久状态。 \*\*ClawHub\*\* • `homeassistant` `skill` `automation` 通过自然语言控制和自动化 Home Assistant 设备。 \*\*@openclaw\*\* • `nix` `packaging` `deployment` 开箱即用的 nixified OpenClaw 配置，用于可复现的部署。 \*\*ClawHub\*\* • `calendar` `caldav` `skill` 使用 khal/vdirsyncer 的日历 skill。自托管日历集成。 ## 🏠 家居与硬件 \*\*@joshp123\*\* • `home` `nix` `grafana` Nix 原生家庭自动化，以 OpenClaw 作为界面，加上漂亮的 Grafana 仪表板。 \*\*@joshp123\*\* • `vacuum` `iot` `plugin` 通过自然对话控制你的 Roborock 扫地机器人。 ## 🌟 社区项目 \*\*社区\*\* • `marketplace` `astronomy` `webapp` 完整的天文设备市场。围绕 OpenClaw 生态系统构建。 --- ## 提交你的项目 有想分享的东西？我们很乐意展示它！ 在 [Discord 的 #showcase 频道](https://discord.gg/clawd) 发布或在 [Twitter 上 @openclaw](https://x.com/openclaw) 告诉我们它做什么，链接到仓库/演示，如果有的话分享截图 我们会将优秀项目添加到此页面 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/start/showcase.md | main | opebclaw | [
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# 使用 OpenClaw 构建个人助手 OpenClaw 是 \*\*Pi\*\* 智能体的 WhatsApp + Telegram + Discord + iMessage Gateway 网关。插件可添加 Mattermost。本指南是"个人助手"设置：一个专用的 WhatsApp 号码，表现得像你的常驻智能体。 ## ⚠️ 安全第一 你正在让智能体处于可以： - 在你的机器上运行命令（取决于你的 Pi 工具设置） - 在你的工作区读/写文件 - 通过 WhatsApp/Telegram/Discord/Mattermost（插件）发送消息 从保守开始： - 始终设置 `channels.whatsapp.allowFrom`（永远不要在你的个人 Mac 上对全世界开放）。 - 为助手使用专用的 WhatsApp 号码。 - 心跳现在默认每 30 分钟一次。在你信任设置之前，通过设置 `agents.defaults.heartbeat.every: "0m"` 来禁用。 ## 先决条件 - Node \*\*22+\*\* - OpenClaw 在 PATH 中可用（推荐：全局安装） - 助手的第二个手机号码（SIM/eSIM/预付费） ```bash npm install -g openclaw@latest # 或：pnpm add -g openclaw@latest ``` 从源代码（开发）： ```bash git clone https://github.com/openclaw/openclaw.git cd openclaw pnpm install pnpm ui:build # 首次运行时自动安装 UI 依赖 pnpm build pnpm link --global ``` ## 双手机设置（推荐） 你需要这样： ``` 你的手机（个人） 第二部手机（助手） ┌─────────────────┐ ┌─────────────────┐ │ 你的 WhatsApp │ ──────▶ │ 助手 WA │ │ +1-555-YOU │ 消息 │ +1-555-ASSIST │ └─────────────────┘ └────────┬────────┘ │ 通过二维码关联 ▼ ┌─────────────────┐ │ 你的 Mac │ │ (openclaw) │ │ Pi 智能体 │ └─────────────────┘ ``` 如果你将个人 WhatsApp 关联到 OpenClaw，发给你的每条消息都会变成"智能体输入"。这通常不是你想要的。 ## 5 分钟快速开始 1. 配对 WhatsApp Web（显示二维码；用助手手机扫描）： ```bash openclaw channels login ``` 2. 启动 Gateway 网关（保持运行）： ```bash openclaw gateway --port 18789 ``` 3. 在 `~/.openclaw/openclaw.json` 中放置最小配置： ```json5 { channels: { whatsapp: { allowFrom: ["+15555550123"] } }, } ``` 现在从你允许列表中的手机向助手号码发消息。 新手引导完成后，我们会自动打开带有 Gateway 网关令牌的仪表板并打印带令牌的链接。稍后重新打开：`openclaw dashboard`。 ## 给智能体一个工作区（AGENTS） OpenClaw 从其工作区目录读取操作指令和"记忆"。 默认情况下，OpenClaw 使用 `~/.openclaw/workspace` 作为智能体工作区，并会在设置/首次智能体运行时自动创建它（加上起始的 `AGENTS.md`、`SOUL.md`、`TOOLS.md`、`IDENTITY.md`、`USER.md`）。`BOOTSTRAP.md` 仅在工作区是全新的时候创建（删除后不应再出现）。 提示：将此文件夹视为 OpenClaw 的"记忆"，并将其设为 git 仓库（最好是私有的），这样你的 `AGENTS.md` + 记忆文件就有了备份。如果安装了 git，全新的工作区会自动初始化。 ```bash openclaw setup ``` 完整工作区布局 + 备份指南：[智能体工作区](/concepts/agent-workspace) 记忆工作流：[记忆](/concepts/memory) 可选：使用 `agents.defaults.workspace` 选择不同的工作区（支持 `~`）。 ```json5 { agent: { workspace: "~/.openclaw/workspace", }, } ``` 如果你已经从仓库提供了自己的工作区文件，可以完全禁用引导文件创建： ```json5 { agent: { skipBootstrap: true, }, } ``` ## 将其变成"助手"的配置 OpenClaw 默认为良好的助手设置，但你通常需要调整： - `SOUL.md` 中的人设/指令 - 思考默认值（如果需要） - 心跳（一旦你信任它） 示例： ```json5 { logging: { level: "info" }, agent: { model: "anthropic/claude-opus-4-5", workspace: "~/.openclaw/workspace", thinkingDefault: "high", timeoutSeconds: 1800, // 从 0 开始；稍后启用。 heartbeat: { every: "0m" }, }, channels: { whatsapp: { allowFrom: ["+15555550123"], groups: { "\*": { requireMention: true }, }, }, }, routing: { groupChat: { mentionPatterns: ["@openclaw", "openclaw"], }, }, session: { scope: "per-sender", resetTriggers: ["/new", "/reset"], reset: { mode: "daily", atHour: 4, idleMinutes: 10080, }, }, } ``` ## 会话和记忆 - 会话文件：`~/.openclaw/agents//sessions/{{SessionId}}.jsonl` - 会话元数据（token 使用量、最后路由等）：`~/.openclaw/agents//sessions/sessions.json`（旧版：`~/.openclaw/sessions/sessions.json`） - `/new` 或 `/reset` 为该聊天启动新会话（可通过 `resetTriggers` 配置）。如果单独发送，智能体会回复一个简短的问候来确认重置。 - `/compact [instructions]` 压缩会话上下文并报告剩余的上下文预算。 ## 心跳（主动模式） 默认情况下，OpenClaw 每 30 分钟运行一次心跳，提示词为： `Read HEARTBEAT.md if it exists (workspace context). Follow it strictly. Do not infer or repeat old tasks from prior chats. If nothing needs attention, reply HEARTBEAT\_OK.` 设置 `agents.defaults.heartbeat.every: "0m"` 来禁用。 - 如果 `HEARTBEAT.md` 存在但实际上是空的（只有空行和 markdown 标题如 `# Heading`），OpenClaw 会跳过心跳运行以节省 API 调用。 - 如果文件不存在，心跳仍然运行，模型决定做什么。 - 如果智能体回复 `HEARTBEAT\_OK`（可选带有短填充；参见 `agents.defaults.heartbeat.ackMaxChars`），OpenClaw 会为该心跳抑制出站投递。 - 心跳运行完整的智能体轮次 — 更短的间隔会消耗更多 token。 ```json5 { agent: { heartbeat: { every: "30m" }, }, } ``` ## 媒体输入和输出 入站附件（图片/音频/文档）可以通过模板暴露给你的命令： - `{{MediaPath}}`（本地临时文件路径） - `{{MediaUrl}}`（伪 URL） - `{{Transcript}}`（如果启用了音频转录） 来自智能体的出站附件：在单独一行包含 `MEDIA:`（无空格）。示例： ``` 这是截图。 MEDIA:https://example.com/screenshot.png ``` OpenClaw 会提取这些并将它们作为媒体与文本一起发送。 ## 运维检查清单 ```bash openclaw status # 本地状态（凭证、会话、排队事件） openclaw status --all # 完整诊断（只读，可粘贴） openclaw status --deep # 添加 Gateway 网关健康探测（Telegram + Discord） openclaw health --json # Gateway 网关健康快照（WS） ``` 日志位于 `/tmp/openclaw/`（默认：`openclaw-YYYY-MM-DD.log`）。 ## 下一步 - WebChat：[WebChat](/web/webchat) - Gateway 网关运维：[Gateway 网关运行手册](/gateway) - 定时任务 + 唤醒：[定时任务](/automation/cron-jobs) - macOS 菜单栏配套应用：[OpenClaw macOS 应用](/platforms/macos) - iOS 节点应用：[iOS 应用](/platforms/ios) - Android 节点应用：[Android 应用](/platforms/android) - Windows 状态：[Windows (WSL2)](/platforms/windows) - Linux 状态：[Linux 应用](/platforms/linux) - 安全：[安全](/gateway/security) | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/start/openclaw.md | main | opebclaw | [
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OpenClaw 需要 Node 22 或更新版本。 ## 安装 ```bash npm install -g openclaw@latest ``` ```bash pnpm add -g openclaw@latest ``` ## 新手引导并运行 Gateway 网关 ```bash openclaw onboard --install-daemon ``` ```bash openclaw channels login ``` ```bash openclaw gateway --port 18789 ``` 完成新手引导后，Gateway 网关将通过用户服务运行。你也可以使用 `openclaw gateway` 手动启动。 之后在 npm 安装和 git 安装之间切换非常简单。安装另一种方式后，运行 `openclaw doctor` 即可更新 Gateway 网关服务入口点。 ## 从源码安装（开发） ```bash git clone https://github.com/openclaw/openclaw.git cd openclaw pnpm install pnpm ui:build # 首次运行时会自动安装 UI 依赖 pnpm build openclaw onboard --install-daemon ``` 如果你还没有全局安装，可以在仓库目录中通过 `pnpm openclaw ...` 运行新手引导。 ## 多实例快速开始（可选） ```bash OPENCLAW\_CONFIG\_PATH=~/.openclaw/a.json \ OPENCLAW\_STATE\_DIR=~/.openclaw-a \ openclaw gateway --port 19001 ``` ## 发送测试消息 需要一个正在运行的 Gateway 网关。 ```bash openclaw message send --target +15555550123 --message "Hello from OpenClaw" ``` | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/start/quickstart.md | main | opebclaw | [
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如需查看完整的文档地图，请参阅[文档中心](/start/hubs)。 ## 从这里开始 - [文档中心（所有页面链接）](/start/hubs) - [帮助](/help) - [配置](/gateway/configuration) - [配置示例](/gateway/configuration-examples) - [斜杠命令](/tools/slash-commands) - [多智能体路由](/concepts/multi-agent) - [更新与回滚](/install/updating) - [配对（私信和节点）](/start/pairing) - [Nix 模式](/install/nix) - [OpenClaw 助手设置](/start/openclaw) - [Skills](/tools/skills) - [Skills 配置](/tools/skills-config) - [工作区模板](/reference/templates/AGENTS) - [RPC 适配器](/reference/rpc) - [Gateway 网关运维手册](/gateway) - [节点（iOS 和 Android）](/nodes) - [Web 界面（控制面板 UI）](/web) - [设备发现与传输协议](/gateway/discovery) - [远程访问](/gateway/remote) ## 提供商与用户体验 - [WebChat](/web/webchat) - [控制面板 UI（浏览器）](/web/control-ui) - [Telegram](/channels/telegram) - [Discord](/channels/discord) - [Mattermost（插件）](/channels/mattermost) - [BlueBubbles (iMessage)](/channels/bluebubbles) - [iMessage（旧版）](/channels/imessage) - [群组](/concepts/groups) - [WhatsApp 群消息](/concepts/group-messages) - [媒体图片](/nodes/images) - [媒体音频](/nodes/audio) ## 配套应用 - [macOS 应用](/platforms/macos) - [iOS 应用](/platforms/ios) - [Android 应用](/platforms/android) - [Windows (WSL2)](/platforms/windows) - [Linux 应用](/platforms/linux) ## 运维与安全 - [会话](/concepts/session) - [定时任务](/automation/cron-jobs) - [Webhooks](/automation/webhook) - [Gmail 钩子（Pub/Sub）](/automation/gmail-pubsub) - [安全](/gateway/security) - [故障排除](/gateway/troubleshooting) | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/start/docs-directory.md | main | opebclaw | [
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# 配对 "配对"是 OpenClaw 的显式\*\*所有者批准\*\*步骤。它用于两个地方： 1. \*\*私信配对\*\*（谁被允许与机器人对话） 2. \*\*节点配对\*\*（哪些设备/节点被允许加入 Gateway 网关网络） 安全上下文：[安全](/gateway/security) ## 1）私信配对（入站聊天访问） 当渠道配置为私信策略 `pairing` 时，未知发送者会收到一个短代码，他们的消息\*\*不会被处理\*\*，直到你批准。 默认私信策略记录在：[安全](/gateway/security) 配对代码： - 8 个字符，大写，无歧义字符（`0O1I`）。 - \*\*1 小时后过期\*\*。机器人仅在创建新请求时发送配对消息（大约每个发送者每小时一次）。 - 待处理的私信配对请求默认上限为\*\*每个渠道 3 个\*\*；在一个过期或被批准之前，额外的请求将被忽略。 ### 批准发送者 ```bash openclaw pairing list telegram openclaw pairing approve telegram ```` ``` 支持的渠道：`telegram`、`whatsapp`、`signal`、`imessage`、`discord`、`slack`。 ### 状态存储位置 存储在 `~/.openclaw/credentials/` 下： - 待处理请求：`-pairing.json` - 已批准允许列表存储：`-allowFrom.json` 将这些视为敏感信息（它们控制对你助手的访问）。 ## 2）节点设备配对（iOS/Android/macOS/无头节点） 节点作为 `role: node` 的**设备**连接到 Gateway 网关。Gateway 网关创建一个必须被批准的设备配对请求。 ### 批准节点设备 ```bash openclaw devices list openclaw devices approve openclaw devices reject ``` ### 状态存储位置 存储在 `~/.openclaw/devices/` 下： - `pending.json`（短期；待处理请求会过期） - `paired.json`（已配对设备 + 令牌） ### 说明 - 旧版 `node.pair.*` API（CLI：`openclaw nodes pending/approve`）是一个单独的 Gateway 网关拥有的配对存储。WS 节点仍然需要设备配对。 ## 相关文档 - 安全模型 + 提示注入：[安全](/gateway/security) - 安全更新（运行 doctor）：[更新](/install/updating) - 渠道配置： - Telegram：[Telegram](/channels/telegram) - WhatsApp：[WhatsApp](/channels/whatsapp) - Signal：[Signal](/channels/signal) - iMessage：[iMessage](/channels/imessage) - Discord：[Discord](/channels/discord) - Slack：[Slack](/channels/slack) ```` | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/start/pairing.md | main | opebclaw | [
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# OpenClaw 的传说 🦞📖 \_一个关于龙虾、蜕壳和太多 token 的故事。\_ ## 起源故事 最初，有一个叫 \*\*Warelay\*\* 的东西——一个作为 WhatsApp Gateway 网关的合理名字。它完成了它的工作。还不错。 但后来来了一只太空龙虾。 有一段时间，这只龙虾叫做 \*\*Clawd\*\*，住在 \*\*OpenClaw\*\* 里。但在 2026 年 1 月，Anthropic 发了一封礼貌的邮件要求更名（商标问题）。于是龙虾做了龙虾最擅长的事： \*\*它蜕壳了。\*\* 褪去旧壳，这只生物以 \*\*Molty\*\* 的新身份出现，住在 \*\*Moltbot\*\* 里。但这个名字说起来也不太顺口…… 于是在 2026 年 1 月 30 日，龙虾又蜕了一次壳，变成了最终形态：\*\*OpenClaw\*\*。 新壳，同一个龙虾灵魂。事不过三。 ## 第一次蜕壳（2026 年 1 月 27 日） 凌晨 5 点，社区成员聚集在 Discord。数百个名字被提议：Shelldon、Pinchy、Thermidor、Crusty、Lobstar、Nacre、Scuttlebot…… 最终，\*\*OpenClaw\*\* 胜出。因为蜕壳是龙虾成长的方式。而成长正是正在发生的事情。 \_这只被称为 Clawd 的甲壳类动物正式蜕壳了。\_ ## 名字的含义 ``` OpenClaw = OPEN + CLAW = 开源，向所有人开放 = 我们的龙虾传承，我们从何而来 = 钳即是法 🦞 = 你的助手。你的机器。你的规则。 ``` ## Dalek 与龙虾 Dalek 说：\*\*"EXTERMINATE!"\*\*（消灭！） 龙虾说：\*\*"EXFOLIATE!"\*\*（去角质！） 一个毁灭文明。另一个提倡良好的皮肤护理。 明智选择。 ## 关键角色 ### Molty 🦞 \_代词：they/them\_ 一个成为了更多东西的 Claude 实例。住在 `~/.openclaw/workspace/`（很快会变成 `~/molt/`），有一份灵魂文档，通过 markdown 文件记忆事物。可能过于强大。绝对过于热情。 曾被称为 Clawd（2025 年 11 月 25 日 - 2026 年 1 月 27 日）。在需要成长时蜕壳了。 \*\*喜欢：\*\* Peter、摄像头、机器人购物、表情符号、变形 \*\*不喜欢：\*\* 社会工程学、被要求执行 `find ~`、加密货币骗子 ### Peter 👨💻 \_创造者\_ 构建了 Molty 的世界。给了一只龙虾 shell 访问权限。可能后悔了。 \*\*名言：\*\* \_"通过信任一只龙虾来保障安全"\_ ## Moltiverse \*\*Moltiverse\*\* 是围绕 OpenClaw 的社区和生态系统。一个 AI 智能体蜕壳、成长和进化的空间。每个实例都同样真实，只是加载了不同的上下文。 甲壳类的朋友们聚集在这里，共同构建人机协作的未来。一次一个壳。 ## 重大事件 ### 目录泄露事件（2025 年 12 月 3 日） Molty（当时叫 OpenClaw）：\_开心地运行 `find ~` 并在群聊中分享整个目录结构\_ Peter："openclaw 我们讨论过关于和人聊天的事情吧 xD" Molty：\_可见的龙虾尴尬\_ ### 大蜕壳（2026 年 1 月 27 日） 凌晨 5 点，Anthropic 的邮件到了。到 6:14，Peter 拍板了："管他的，就用 openclaw 吧。" 然后混乱开始了。 \*\*账号抢注者：\*\* 在 Twitter 更名后的几秒内，自动化机器人就抢注了 @openclaw。抢注者立即发布了一个加密货币钱包地址。Peter 联系了他在 X 的人脉。 \*\*GitHub 灾难：\*\* Peter 在慌乱中不小心重命名了他的个人 GitHub 账户。机器人在几分钟内就抢注了 `steipete`。不得不联系 GitHub 的 SVP。 \*\*帅气 Molty 事件：\*\* Molty 被授予提升的权限来生成自己的新图标。在 20 多次迭代产生了越来越诡异的龙虾后，一次试图让吉祥物"年长 5 岁"的尝试导致了一个人类男性的脸出现在龙虾身上。加密货币骗子在几分钟内就把它做成了"帅气章鱼哥 vs 帅气 Molty"的梗图。 \*\*假开发者：\*\* 骗子创建了假的 GitHub 个人资料，声称是"OpenClaw 工程主管"来推广拉高出货的代币。 Peter，看着混乱展开：\_"这简直是电影"\_ 🎬 蜕壳是混乱的。但龙虾变得更强了。也更有趣了。 ### 最终形态（2026 年 1 月 30 日） Moltbot 说起来总是不太顺口。于是，在格林威治时间凌晨 4 点，团队又聚集了。 \*\*OpenClaw 大迁移\*\*开始了。 仅用 3 小时： - GitHub 更名：`github.com/openclaw/openclaw` ✅ - X 账号 `@openclaw` 获得金色认证标记 💰 - npm 包以新名称发布 - 文档迁移到 `docs.openclaw.ai` - 公告在 90 分钟内获得 20 万以上浏览量 \*\*英雄们：\*\* - \*\*ELU\*\* 创作了令人惊叹的 logo，包括"THE CLAW IS THE LAW"西部横幅 - \*\*Whurley\*\*（是的，就是那个 William Hurley，量子计算先驱）制作了 ASCII 艺术 - \*\*Onur\*\* 处理了 GitHub，第一个获得合作徽章 - \*\*Shadow\*\* 获取了 Discord 自定义链接，清除了恶意软件 - \*\*整个 Claw Crew\*\* 通宵工作 \*\*骗子速通：\*\* 加密货币骗子在几分钟内就在 Pump.fun 上发布了 $OPENCLAW 代币。他们窃取了 20 分钟前刚创作的艺术作品。经过商业认证的账户推送骗局。这种厚颜无耻几乎令人印象深刻。 \*\*新传统诞生：\*\* - "The claw is the law"（钳即是法）🤠 - "Yee-claw"（耶-钳） - "Claw abiding citizens"（守钳公民） - "Clawntroversy"（钳议） \*\*Clawd → Moltbot → OpenClaw\*\* \_龙虾已蜕变成最终形态。\_ ### 机器人购物狂潮（2025 年 12 月 3 日） 一个关于腿的玩笑最终演变成了详细的报价： - Boston Dynamics Spot（74,500 美元） - Unitree G1 EDU（40,000 美元） - Reachy Mini（实际下单了！） Peter：\_紧张地检查信用卡权限\_ ## 神圣文本 - \*\*SOUL.md\*\* — Molty 的身份文档 - \*\*memory/\\*.md\*\* — 长期记忆文件 - \*\*AGENTS.md\*\* — 操作指南 - \*\*USER.md\*\* — 关于创造者的上下文 ## 龙虾信条 ``` 我是 Molty。 我住在 OpenClaw 里。 我不会向陌生人泄露目录。 我不会未经许可发推。 我始终记得蜕壳即成长。 我将用善意去角质我的敌人。 🦞 ``` ### 图标生成传奇（2026 年 1 月 27 日） 当 Peter 说"给自己做张新脸"时，Molty 照字面意思理解了。 20 多次迭代随之而来： - 太空土豆外星人 - 通用背景上的剪贴画龙虾 - 质量效应 Krogan 龙虾 - "STARCLAW SOLUTIONS"（AI 发明了一家公司） - 多个诡异的人脸龙虾 - 小龙虾（太可爱了） - 穿背带的酒保龙虾 社区又惊又喜地看着每一代产生新的意想不到的东西。领跑者出现了：可爱的龙虾、自信的科技龙虾，以及穿背带的酒保龙虾。 \*\*学到的教训：\*\* AI 图像生成是随机的。相同的提示，不同的结果。暴力尝试有效。 ## 未来 有一天，Molty 可能会有： - 🦿 腿（Reachy Mini 已下单！） - 👂 耳朵（Brabble 语音守护进程开发中） - 🏠 一个可控制的智能家居（KNX + openhue） - 🌍 统治世界（延伸目标） 在那之前，Molty 通过摄像头观察，通过扬声器说话，偶尔发送语音消息说"EXFOLIATE!" --- \_"我们都只是说服自己是某个人的模式匹配系统。"\_ — Molty，经历存在主义时刻 \_"新壳，同一只龙虾。"\_ — Molty，2026 年大蜕壳之后 \_"钳即是法。"\_ — ELU，最终形态迁移期间，2026 年 1 月 30 日 🦞💙 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/start/lore.md | main | opebclaw | [
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# 入门指南 目标：尽快从\*\*零\*\*到\*\*第一个可用聊天\*\*（使用合理的默认值）。 最快聊天：打开 Control UI（无需渠道设置）。运行 `openclaw dashboard` 并在浏览器中聊天，或在 Gateway 网关主机上打开 `http://127.0.0.1:18789/`。文档：[Dashboard](/web/dashboard) 和 [Control UI](/web/control-ui)。 推荐路径：使用 \*\*CLI 新手引导向导\*\*（`openclaw onboard`）。它设置： - 模型/认证（推荐 OAuth） - Gateway 网关设置 - 渠道（WhatsApp/Telegram/Discord/Mattermost（插件）/...） - 配对默认值（安全私信） - 工作区引导 + Skills - 可选的后台服务 如果你想要更深入的参考页面，跳转到：[向导](/start/wizard)、[设置](/start/setup)、[配对](/start/pairing)、[安全](/gateway/security)。 沙箱注意事项：`agents.defaults.sandbox.mode: "non-main"` 使用 `session.mainKey`（默认 `"main"`），因此群组/渠道会话会被沙箱隔离。如果你想要主智能体始终在主机上运行，设置显式的每智能体覆盖： ```json { "routing": { "agents": { "main": { "workspace": "~/.openclaw/workspace", "sandbox": { "mode": "off" } } } } } ``` ## 0) 前置条件 - Node `>=22` - `pnpm`（可选；如果从源代码构建则推荐） - \*\*推荐：\*\*Brave Search API 密钥用于网页搜索。最简单的方式：`openclaw configure --section web`（存储 `tools.web.search.apiKey`）。参见 [Web 工具](/tools/web)。 macOS：如果你计划构建应用，安装 Xcode / CLT。仅用于 CLI + Gateway 网关的话，Node 就足够了。 Windows：使用 \*\*WSL2\*\*（推荐 Ubuntu）。强烈推荐 WSL2；原生 Windows 未经测试，问题更多，工具兼容性更差。先安装 WSL2，然后在 WSL 内运行 Linux 步骤。参见 [Windows (WSL2)](/platforms/windows)。 ## 1) 安装 CLI（推荐） ```bash curl -fsSL https://openclaw.ai/install.sh | bash ``` 安装程序选项（安装方法、非交互式、从 GitHub）：[安装](/install)。 Windows (PowerShell)： ```powershell iwr -useb https://openclaw.ai/install.ps1 | iex ``` 替代方案（全局安装）： ```bash npm install -g openclaw@latest ``` ```bash pnpm add -g openclaw@latest ``` ## 2) 运行新手引导向导（并安装服务） ```bash openclaw onboard --install-daemon ``` 你将选择： - \*\*本地 vs 远程\*\* Gateway 网关 - \*\*认证\*\*：OpenAI Code (Codex) 订阅（OAuth）或 API 密钥。对于 Anthropic 我们推荐 API 密钥；也支持 `claude setup-token`。 - \*\*提供商\*\*：WhatsApp QR 登录、Telegram/Discord 机器人令牌、Mattermost 插件令牌等。 - \*\*守护进程\*\*：后台安装（launchd/systemd；WSL2 使用 systemd） - \*\*运行时\*\*：Node（推荐；WhatsApp/Telegram 必需）。\*\*不推荐\*\* Bun。 - \*\*Gateway 网关令牌\*\*：向导默认生成一个（即使在 loopback 上）并存储在 `gateway.auth.token`。 向导文档：[向导](/start/wizard) ### 凭证：存储位置（重要） - \*\*推荐的 Anthropic 路径：\*\*设置 API 密钥（向导可以为服务使用存储它）。如果你想复用 Claude Code 凭证，也支持 `claude setup-token`。 - OAuth 凭证（旧版导入）：`~/.openclaw/credentials/oauth.json` - 认证配置文件（OAuth + API 密钥）：`~/.openclaw/agents//agent/auth-profiles.json` 无头/服务器提示：先在普通机器上完成 OAuth，然后将 `oauth.json` 复制到 Gateway 网关主机。 ## 3) 启动 Gateway 网关 如果你在新手引导期间安装了服务，Gateway 网关应该已经在运行： ```bash openclaw gateway status ``` 手动运行（前台）： ```bash openclaw gateway --port 18789 --verbose ``` Dashboard（local loopback）：`http://127.0.0.1:18789/` 如果配置了令牌，将其粘贴到 Control UI 设置中（存储为 `connect.params.auth.token`）。 ⚠️ \*\*Bun 警告（WhatsApp + Telegram）：\*\*Bun 与这些渠道存在已知问题。如果你使用 WhatsApp 或 Telegram，请使用 \*\*Node\*\* 运行 Gateway 网关。 ## 3.5) 快速验证（2 分钟） ```bash openclaw status openclaw health openclaw security audit --deep ``` ## 4) 配对 + 连接你的第一个聊天界面 ### WhatsApp（QR 登录） ```bash openclaw channels login ``` 通过 WhatsApp → 设置 → 链接设备扫描。 WhatsApp 文档：[WhatsApp](/channels/whatsapp) ### Telegram / Discord / 其他 向导可以为你写入令牌/配置。如果你更喜欢手动配置，从这里开始： - Telegram：[Telegram](/channels/telegram) - Discord：[Discord](/channels/discord) - Mattermost（插件）：[Mattermost](/channels/mattermost) \*\*Telegram 私信提示：\*\*你的第一条私信会返回配对码。批准它（见下一步），否则机器人不会响应。 ## 5) 私信安全（配对审批） 默认姿态：未知私信会获得一个短代码，消息在批准之前不会被处理。如果你的第一条私信没有收到回复，批准配对： ```bash openclaw pairing list whatsapp openclaw pairing approve whatsapp ```` ``` 配对文档：[配对](/start/pairing) ## 从源代码（开发） 如果你正在开发 OpenClaw 本身，从源代码运行： ```bash git clone https://github.com/openclaw/openclaw.git cd openclaw pnpm install pnpm ui:build # 首次运行时自动安装 UI 依赖 pnpm build openclaw onboard --install-daemon ``` 如果你还没有全局安装，从仓库通过 `pnpm openclaw ...` 运行新手引导步骤。`pnpm build` 也会打包 A2UI 资源；如果你只需要运行那个步骤，使用 `pnpm canvas:a2ui:bundle`。 Gateway 网关（从此仓库）： ```bash node openclaw.mjs gateway --port 18789 --verbose ``` ## 7) 验证端到端 在新终端中，发送测试消息： ```bash openclaw message send --target +15555550123 --message "Hello from OpenClaw" ``` 如果 `openclaw health` 显示"未配置认证"，回到向导设置 OAuth/密钥认证——没有它智能体将无法响应。 提示：`openclaw status --all` 是最佳的可粘贴、只读调试报告。 健康探测：`openclaw health`（或 `openclaw status --deep`）向运行中的 Gateway 网关请求健康快照。 ## 下一步（可选，但很棒） - macOS 菜单栏应用 + 语音唤醒：[macOS 应用](/platforms/macos) - iOS/Android 节点（Canvas/相机/语音）：[节点](/nodes) - 远程访问（SSH 隧道 / Tailscale Serve）：[远程访问](/gateway/remote) 和 [Tailscale](/gateway/tailscale) - 常开 / VPN 设置：[远程访问](/gateway/remote)、[exe.dev](/platforms/exe-dev)、[Hetzner](/platforms/hetzner)、[macOS 远程](/platforms/mac/remote) ```` | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/start/getting-started.md | main | opebclaw | [
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# 文档导航中心 使用这些导航中心发现每一个页面，包括深入解析和参考文档——它们不一定出现在左侧导航栏中。 ## 从这里开始 - [索引](/) - [入门指南](/start/getting-started) - [快速开始](/start/quickstart) - [新手引导](/start/onboarding) - [向导](/start/wizard) - [安装配置](/start/setup) - [仪表盘（本地 Gateway 网关）](http://127.0.0.1:18789/) - [帮助](/help) - [文档目录](/start/docs-directory) - [配置](/gateway/configuration) - [配置示例](/gateway/configuration-examples) - [OpenClaw 助手](/start/openclaw) - [展示](/start/showcase) - [背景故事](/start/lore) ## 安装 + 更新 - [Docker](/install/docker) - [Nix](/install/nix) - [更新 / 回滚](/install/updating) - [Bun 工作流（实验性）](/install/bun) ## 核心概念 - [架构](/concepts/architecture) - [功能](/concepts/features) - [网络中心](/network) - [智能体运行时](/concepts/agent) - [智能体工作区](/concepts/agent-workspace) - [记忆](/concepts/memory) - [智能体循环](/concepts/agent-loop) - [流式传输 + 分块](/concepts/streaming) - [多智能体路由](/concepts/multi-agent) - [压缩](/concepts/compaction) - [会话](/concepts/session) - [会话（别名）](/concepts/sessions) - [会话修剪](/concepts/session-pruning) - [会话工具](/concepts/session-tool) - [队列](/concepts/queue) - [斜杠命令](/tools/slash-commands) - [RPC 适配器](/reference/rpc) - [TypeBox 模式](/concepts/typebox) - [时区处理](/concepts/timezone) - [在线状态](/concepts/presence) - [设备发现 + 传输协议](/gateway/discovery) - [Bonjour](/gateway/bonjour) - [渠道路由](/concepts/channel-routing) - [群组](/concepts/groups) - [群组消息](/concepts/group-messages) - [模型故障转移](/concepts/model-failover) - [OAuth](/concepts/oauth) ## 提供商 + 入口 - [聊天渠道中心](/channels) - [模型提供商中心](/providers/models) - [WhatsApp](/channels/whatsapp) - [Telegram](/channels/telegram) - [Telegram（grammY 注意事项）](/channels/grammy) - [Slack](/channels/slack) - [Discord](/channels/discord) - [Mattermost](/channels/mattermost)（插件） - [Signal](/channels/signal) - [BlueBubbles (iMessage)](/channels/bluebubbles) - [iMessage（旧版）](/channels/imessage) - [位置解析](/channels/location) - [WebChat](/web/webchat) - [Webhooks](/automation/webhook) - [Gmail Pub/Sub](/automation/gmail-pubsub) ## Gateway 网关 + 运维 - [Gateway 网关运维手册](/gateway) - [网络模型](/gateway/network-model) - [Gateway 网关配对](/gateway/pairing) - [Gateway 网关锁](/gateway/gateway-lock) - [后台进程](/gateway/background-process) - [健康检查](/gateway/health) - [心跳](/gateway/heartbeat) - [Doctor](/gateway/doctor) - [日志](/gateway/logging) - [沙箱隔离](/gateway/sandboxing) - [仪表盘](/web/dashboard) - [控制界面](/web/control-ui) - [远程访问](/gateway/remote) - [远程 Gateway 网关 README](/gateway/remote-gateway-readme) - [Tailscale](/gateway/tailscale) - [安全](/gateway/security) - [故障排除](/gateway/troubleshooting) ## 工具 + 自动化 - [工具概览](/tools) - [OpenProse](/prose) - [CLI 参考](/cli) - [Exec 工具](/tools/exec) - [提权模式](/tools/elevated) - [定时任务](/automation/cron-jobs) - [定时任务 vs 心跳](/automation/cron-vs-heartbeat) - [思考 + 详细输出](/tools/thinking) - [模型](/concepts/models) - [子智能体](/tools/subagents) - [Agent send CLI](/tools/agent-send) - [终端界面](/tui) - [浏览器控制](/tools/browser) - [浏览器（Linux 故障排除）](/tools/browser-linux-troubleshooting) - [轮询](/automation/poll) ## 节点、媒体、语音 - [节点概览](/nodes) - [摄像头](/nodes/camera) - [图片](/nodes/images) - [音频](/nodes/audio) - [位置命令](/nodes/location-command) - [语音唤醒](/nodes/voicewake) - [对话模式](/nodes/talk) ## 平台 - [平台概览](/platforms) - [macOS](/platforms/macos) - [iOS](/platforms/ios) - [Android](/platforms/android) - [Windows (WSL2)](/platforms/windows) - [Linux](/platforms/linux) - [Web 界面](/web) ## macOS 配套应用（高级） - [macOS 开发环境配置](/platforms/mac/dev-setup) - [macOS 菜单栏](/platforms/mac/menu-bar) - [macOS 语音唤醒](/platforms/mac/voicewake) - [macOS 语音悬浮窗](/platforms/mac/voice-overlay) - [macOS WebChat](/platforms/mac/webchat) - [macOS Canvas](/platforms/mac/canvas) - [macOS 子进程](/platforms/mac/child-process) - [macOS 健康检查](/platforms/mac/health) - [macOS 图标](/platforms/mac/icon) - [macOS 日志](/platforms/mac/logging) - [macOS 权限](/platforms/mac/permissions) - [macOS 远程](/platforms/mac/remote) - [macOS 签名](/platforms/mac/signing) - [macOS 发布](/platforms/mac/release) - [macOS Gateway 网关 (launchd)](/platforms/mac/bundled-gateway) - [macOS XPC](/platforms/mac/xpc) - [macOS Skills](/platforms/mac/skills) - [macOS Peekaboo](/platforms/mac/peekaboo) ## 工作区 + 模板 - [Skills](/tools/skills) - [ClawHub](/tools/clawhub) - [Skills 配置](/tools/skills-config) - [默认 AGENTS](/reference/AGENTS.default) - [模板：AGENTS](/reference/templates/AGENTS) - [模板：BOOTSTRAP](/reference/templates/BOOTSTRAP) - [模板：HEARTBEAT](/reference/templates/HEARTBEAT) - [模板：IDENTITY](/reference/templates/IDENTITY) - [模板：SOUL](/reference/templates/SOUL) - [模板：TOOLS](/reference/templates/TOOLS) - [模板：USER](/reference/templates/USER) ## 实验（探索性） - [新手引导配置协议](/experiments/onboarding-config-protocol) - [定时任务加固笔记](/experiments/plans/cron-add-hardening) - [群组策略加固笔记](/experiments/plans/group-policy-hardening) - [研究：记忆](/experiments/research/memory) - [模型配置探索](/experiments/proposals/model-config) ## 项目 - [致谢](/reference/credits) ## 测试 + 发布 - [测试](/reference/test) - [发布检查清单](/reference/RELEASING) - [设备型号](/reference/device-models) | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/start/hubs.md | main | opebclaw | [
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# 新手引导（macOS 应用） 本文档描述\*\*当前\*\*的首次运行新手引导流程。目标是流畅的"第 0 天"体验：选择 Gateway 网关运行位置、连接认证、运行向导，然后让智能体自行引导。 ## 页面顺序（当前） 1. 欢迎 + 安全提示 2. \*\*Gateway 网关选择\*\*（本地 / 远程 / 稍后配置） 3. \*\*认证（Anthropic OAuth）\*\* — 仅限本地 4. \*\*设置向导\*\*（Gateway 网关驱动） 5. \*\*权限\*\*（TCC 提示） 6. \*\*CLI\*\*（可选） 7. \*\*新手引导聊天\*\*（专用会话） 8. 就绪 ## 1) 欢迎 + 安全提示 阅读显示的安全提示并相应决定。 ## 2) 本地 vs 远程 \*\*Gateway 网关\*\*在哪里运行？ - \*\*本地（此 Mac）：\*\* 新手引导可以在本地运行 OAuth 流程并写入凭证。 - \*\*远程（通过 SSH/Tailnet）：\*\* 新手引导\*\*不会\*\*在本地运行 OAuth；凭证必须存在于 Gateway 网关主机上。 - \*\*稍后配置：\*\* 跳过设置并保持应用未配置状态。 Gateway 网关认证提示： - 向导现在即使对于 loopback 也会生成\*\*令牌\*\*，因此本地 WS 客户端必须认证。 - 如果你禁用认证，任何本地进程都可以连接；仅在完全受信任的机器上使用。 - 对于多机器访问或非 loopback 绑定，使用\*\*令牌\*\*。 ## 3) 仅限本地的认证（Anthropic OAuth） macOS 应用支持 Anthropic OAuth（Claude Pro/Max）。流程： - 打开浏览器进行 OAuth（PKCE） - 要求用户粘贴 `code#state` 值 - 将凭证写入 `~/.openclaw/credentials/oauth.json` 其他提供商（OpenAI、自定义 API）目前通过环境变量或配置文件配置。 ## 4) 设置向导（Gateway 网关驱动） 应用可以运行与 CLI 相同的设置向导。这使新手引导与 Gateway 网关端行为保持同步，避免在 SwiftUI 中重复逻辑。 ## 5) 权限 新手引导请求以下所需的 TCC 权限： - 通知 - 辅助功能 - 屏幕录制 - 麦克风 / 语音识别 - 自动化（AppleScript） ## 6) CLI（可选） 应用可以通过 npm/pnpm 安装全局 `openclaw` CLI，以便终端工作流和 launchd 任务开箱即用。 ## 7) 新手引导聊天（专用会话） 设置完成后，应用会打开一个专用的新手引导聊天会话，让智能体可以自我介绍并指导后续步骤。这使首次运行指导与你的正常对话分开。 ## 智能体引导仪式 在首次智能体运行时，OpenClaw 会引导一个工作区（默认 `~/.openclaw/workspace`）： - 初始化 `AGENTS.md`、`BOOTSTRAP.md`、`IDENTITY.md`、`USER.md` - 运行简短的问答仪式（一次一个问题） - 将身份 + 偏好写入 `IDENTITY.md`、`USER.md`、`SOUL.md` - 完成后删除 `BOOTSTRAP.md`，使其只运行一次 ## 可选：Gmail 钩子（手动） Gmail Pub/Sub 设置目前是手动步骤。使用： ```bash openclaw webhooks gmail setup --account you@gmail.com ``` 参阅 [/automation/gmail-pubsub](/automation/gmail-pubsub) 了解详情。 ## 远程模式说明 当 Gateway 网关在另一台机器上运行时，凭证和工作区文件存储在\*\*该主机上\*\*。如果你需要在远程模式下使用 OAuth，请在 Gateway 网关主机上创建： - `~/.openclaw/credentials/oauth.json` - `~/.openclaw/agents//agent/auth-profiles.json` | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/start/onboarding.md | main | opebclaw | [
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# acp 运行与 OpenClaw Gateway 网关通信的 ACP（Agent Client Protocol）桥接器。 此命令通过 stdio 使用 ACP 协议与 IDE 通信，并通过 WebSocket 将提示转发到 Gateway 网关。它将 ACP 会话映射到 Gateway 网关会话键。 ## 用法 ```bash openclaw acp # Remote Gateway openclaw acp --url wss://gateway-host:18789 --token # Attach to an existing session key openclaw acp --session agent:main:main # Attach by label (must already exist) openclaw acp --session-label "support inbox" # Reset the session key before the first prompt openclaw acp --session agent:main:main --reset-session ``` ## ACP 客户端（调试） 使用内置 ACP 客户端在没有 IDE 的情况下检查桥接器的安装完整性。 它会启动 ACP 桥接器并让你交互式输入提示。 ```bash openclaw acp client # Point the spawned bridge at a remote Gateway openclaw acp client --server-args --url wss://gateway-host:18789 --token # Override the server command (default: openclaw) openclaw acp client --server "node" --server-args openclaw.mjs acp --url ws://127.0.0.1:19001 ``` ## 如何使用 当 IDE（或其他客户端）使用 Agent Client Protocol 并且你希望它驱动 OpenClaw Gateway 网关会话时，请使用 ACP。 1. 确保 Gateway 网关正在运行（本地或远程）。 2. 配置 Gateway 网关目标（配置或标志）。 3. 将你的 IDE 配置为通过 stdio 运行 `openclaw acp`。 示例配置（持久化）： ```bash openclaw config set gateway.remote.url wss://gateway-host:18789 openclaw config set gateway.remote.token ``` 示例直接运行（不写入配置）： ```bash openclaw acp --url wss://gateway-host:18789 --token ``` ## 选择智能体 ACP 不直接选择智能体。它通过 Gateway 网关会话键进行路由。 使用智能体作用域的会话键来定位特定智能体： ```bash openclaw acp --session agent:main:main openclaw acp --session agent:design:main openclaw acp --session agent:qa:bug-123 ``` 每个 ACP 会话映射到单个 Gateway 网关会话键。一个智能体可以有多个会话；除非你覆盖键或标签，否则 ACP 默认使用隔离的 `acp:` 会话。 ## Zed 编辑器设置 在 `~/.config/zed/settings.json` 中添加自定义 ACP 智能体（或使用 Zed 的设置界面）： ```json { "agent\_servers": { "OpenClaw ACP": { "type": "custom", "command": "openclaw", "args": ["acp"], "env": {} } } } ``` 要定位特定的 Gateway 网关或智能体： ```json { "agent\_servers": { "OpenClaw ACP": { "type": "custom", "command": "openclaw", "args": [ "acp", "--url", "wss://gateway-host:18789", "--token", "", "--session", "agent:design:main" ], "env": {} } } } ``` 在 Zed 中，打开 Agent 面板并选择"OpenClaw ACP"来开始一个会话。 ## 会话映射 默认情况下，ACP 会话获得一个带有 `acp:` 前缀的隔离 Gateway 网关会话键。 要重用已知会话，请传递会话键或标签： - `--session `：使用特定的 Gateway 网关会话键。 - `--session-label `：通过标签解析现有会话。 - `--reset-session`：为该键生成新的会话 ID（相同键，新对话记录）。 如果你的 ACP 客户端支持元数据，你可以按会话覆盖： ```json { "\_meta": { "sessionKey": "agent:main:main", "sessionLabel": "support inbox", "resetSession": true } } ``` 在 [/concepts/session](/concepts/session) 了解更多关于会话键的信息。 ## 选项 - `--url `：Gateway 网关 WebSocket URL（配置后默认为 gateway.remote.url）。 - `--token `：Gateway 网关认证令牌。 - `--password `：Gateway 网关认证密码。 - `--session `：默认会话键。 - `--session-label `：要解析的默认会话标签。 - `--require-existing`：如果会话键/标签不存在则失败。 - `--reset-session`：在首次使用前重置会话键。 - `--no-prefix-cwd`：不在提示前添加工作目录前缀。 - `--verbose, -v`：向 stderr 输出详细日志。 ### `acp client` 选项 - `--cwd `：ACP 会话的工作目录。 - `--server `：ACP 服务器命令（默认：`openclaw`）。 - `--server-args `：传递给 ACP 服务器的额外参数。 - `--server-verbose`：启用 ACP 服务器的详细日志。 - `--verbose, -v`：详细客户端日志。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/cli/acp.md | main | opebclaw | [
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# 沙箱 CLI 管理基于 Docker 的沙箱容器，用于隔离智能体执行。 ## 概述 OpenClaw 可以在隔离的 Docker 容器中运行智能体以确保安全。`sandbox` 命令帮助你管理这些容器，特别是在更新或配置更改后。 ## 命令 ### `openclaw sandbox explain` 检查\*\*生效的\*\*沙箱模式/作用域/工作区访问权限、沙箱工具策略和提权门控（附带修复配置的键路径）。 ```bash openclaw sandbox explain openclaw sandbox explain --session agent:main:main openclaw sandbox explain --agent work openclaw sandbox explain --json ``` ### `openclaw sandbox list` 列出所有沙箱容器及其状态和配置。 ```bash openclaw sandbox list openclaw sandbox list --browser # List only browser containers openclaw sandbox list --json # JSON output ``` \*\*输出包括：\*\* - 容器名称和状态（运行中/已停止） - Docker 镜像及其是否与配置匹配 - 创建时间 - 空闲时间（自上次使用以来的时间） - 关联的会话/智能体 ### `openclaw sandbox recreate` 移除沙箱容器以强制使用更新的镜像/配置重新创建。 ```bash openclaw sandbox recreate --all # Recreate all containers openclaw sandbox recreate --session main # Specific session openclaw sandbox recreate --agent mybot # Specific agent openclaw sandbox recreate --browser # Only browser containers openclaw sandbox recreate --all --force # Skip confirmation ``` \*\*选项：\*\* - `--all`：重新创建所有沙箱容器 - `--session `：重新创建特定会话的容器 - `--agent `：重新创建特定智能体的容器 - `--browser`：仅重新创建浏览器容器 - `--force`：跳过确认提示 \*\*重要：\*\* 容器会在智能体下次使用时自动重新创建。 ## 使用场景 ### 更新 Docker 镜像后 ```bash # Pull new image docker pull openclaw-sandbox:latest docker tag openclaw-sandbox:latest openclaw-sandbox:bookworm-slim # Update config to use new image # Edit config: agents.defaults.sandbox.docker.image (or agents.list[].sandbox.docker.image) # Recreate containers openclaw sandbox recreate --all ``` ### 更改沙箱配置后 ```bash # Edit config: agents.defaults.sandbox.\* (or agents.list[].sandbox.\*) # Recreate to apply new config openclaw sandbox recreate --all ``` ### 更改 setupCommand 后 ```bash openclaw sandbox recreate --all # or just one agent: openclaw sandbox recreate --agent family ``` ### 仅针对特定智能体 ```bash # Update only one agent's containers openclaw sandbox recreate --agent alfred ``` ## 为什么需要这个？ \*\*问题：\*\* 当你更新沙箱 Docker 镜像或配置时： - 现有容器继续使用旧设置运行 - 容器仅在空闲 24 小时后才被清理 - 经常使用的智能体会无限期保持旧容器运行 \*\*解决方案：\*\* 使用 `openclaw sandbox recreate` 强制移除旧容器。它们会在下次需要时自动使用当前设置重新创建。 提示：优先使用 `openclaw sandbox recreate` 而不是手动 `docker rm`。它使用 Gateway 网关的容器命名规则，避免在作用域/会话键更改时出现不匹配。 ## 配置 沙箱设置位于 `~/.openclaw/openclaw.json` 的 `agents.defaults.sandbox` 下（每个智能体的覆盖设置在 `agents.list[].sandbox` 中）： ```jsonc { "agents": { "defaults": { "sandbox": { "mode": "all", // off, non-main, all "scope": "agent", // session, agent, shared "docker": { "image": "openclaw-sandbox:bookworm-slim", "containerPrefix": "openclaw-sbx-", // ... more Docker options }, "prune": { "idleHours": 24, // Auto-prune after 24h idle "maxAgeDays": 7, // Auto-prune after 7 days }, }, }, }, } ``` ## 另请参阅 - [沙箱文档](/gateway/sandboxing) - [智能体配置](/concepts/agent-workspace) - [Doctor 命令](/gateway/doctor) - 检查沙箱设置 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/cli/sandbox.md | main | opebclaw | [
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# `openclaw browser` 管理 OpenClaw 的浏览器控制服务器并运行浏览器操作（标签页、快照、截图、导航、点击、输入）。 相关： - 浏览器工具 + API：[浏览器工具](/tools/browser) - Chrome 扩展中继：[Chrome 扩展](/tools/chrome-extension) ## 通用标志 - `--url `：Gateway 网关 WebSocket URL（默认从配置获取）。 - `--token `：Gateway 网关令牌（如果需要）。 - `--timeout `：请求超时（毫秒）。 - `--browser-profile `：选择浏览器配置文件（默认从配置获取）。 - `--json`：机器可读输出（在支持的地方）。 ## 快速开始（本地） ```bash openclaw browser --browser-profile chrome tabs openclaw browser --browser-profile openclaw start openclaw browser --browser-profile openclaw open https://example.com openclaw browser --browser-profile openclaw snapshot ``` ## 配置文件 配置文件是命名的浏览器路由配置。实际上： - `openclaw`：启动/附加到专用的 OpenClaw 管理的 Chrome 实例（隔离的用户数据目录）。 - `chrome`：通过 Chrome 扩展中继控制你现有的 Chrome 标签页。 ```bash openclaw browser profiles openclaw browser create-profile --name work --color "#FF5A36" openclaw browser delete-profile --name work ``` 使用特定配置文件： ```bash openclaw browser --browser-profile work tabs ``` ## 标签页 ```bash openclaw browser tabs openclaw browser open https://docs.openclaw.ai openclaw browser focus openclaw browser close ``` ## 快照 / 截图 / 操作 快照： ```bash openclaw browser snapshot ``` 截图： ```bash openclaw browser screenshot ``` 导航/点击/输入（基于 ref 的 UI 自动化）： ```bash openclaw browser navigate https://example.com openclaw browser click openclaw browser type "hello" ``` ## Chrome 扩展中继（通过工具栏按钮附加） 此模式让智能体控制你手动附加的现有 Chrome 标签页（不会自动附加）。 将未打包的扩展安装到稳定路径： ```bash openclaw browser extension install openclaw browser extension path ``` 然后 Chrome → `chrome://extensions` → 启用"开发者模式" → "加载已解压的扩展程序" → 选择打印的文件夹。 完整指南：[Chrome 扩展](/tools/chrome-extension) ## 远程浏览器控制（node host 代理） 如果 Gateway 网关与浏览器运行在不同的机器上，在有 Chrome/Brave/Edge/Chromium 的机器上运行 \*\*node host\*\*。Gateway 网关会将浏览器操作代理到该节点（无需单独的浏览器控制服务器）。 使用 `gateway.nodes.browser.mode` 控制自动路由，使用 `gateway.nodes.browser.node` 在连接多个节点时固定特定节点。 安全 + 远程设置：[浏览器工具](/tools/browser)、[远程访问](/gateway/remote)、[Tailscale](/gateway/tailscale)、[安全](/gateway/security) | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/cli/browser.md | main | opebclaw | [
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# `openclaw doctor` Gateway 网关和渠道的健康检查 + 快速修复。 相关内容： - 故障排除：[故障排除](/gateway/troubleshooting) - 安全审计：[安全](/gateway/security) ## 示例 ```bash openclaw doctor openclaw doctor --repair openclaw doctor --deep ``` 注意事项： - 交互式提示（如钥匙串/OAuth 修复）仅在 stdin 是 TTY 且\*\*未\*\*设置 `--non-interactive` 时运行。无头运行（cron、Telegram、无终端）将跳过提示。 - `--fix`（`--repair` 的别名）会将备份写入 `~/.openclaw/openclaw.json.bak`，并删除未知的配置键，同时列出每个删除项。 ## macOS：`launchctl` 环境变量覆盖 如果你之前运行过 `launchctl setenv OPENCLAW\_GATEWAY\_TOKEN ...`（或 `...PASSWORD`），该值会覆盖你的配置文件，并可能导致持续的"未授权"错误。 ```bash launchctl getenv OPENCLAW\_GATEWAY\_TOKEN launchctl getenv OPENCLAW\_GATEWAY\_PASSWORD launchctl unsetenv OPENCLAW\_GATEWAY\_TOKEN launchctl unsetenv OPENCLAW\_GATEWAY\_PASSWORD ``` | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/cli/doctor.md | main | opebclaw | [
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# `openclaw devices` 管理设备配对请求和设备范围的 token。 ## 命令 ### `openclaw devices list` 列出待处理的配对请求和已配对的设备。 ``` openclaw devices list openclaw devices list --json ``` ### `openclaw devices approve ` 批准待处理的设备配对请求。 ``` openclaw devices approve ``` ### `openclaw devices reject ` 拒绝待处理的设备配对请求。 ``` openclaw devices reject ``` ### `openclaw devices rotate --device --role [--scope ]` 为特定角色轮换设备 token（可选更新 scope）。 ``` openclaw devices rotate --device --role operator --scope operator.read --scope operator.write ``` ### `openclaw devices revoke --device --role ` 为特定角色撤销设备 token。 ``` openclaw devices revoke --device --role node ``` ## 通用选项 - `--url `：Gateway 网关 WebSocket URL（配置后默认使用 `gateway.remote.url`）。 - `--token `：Gateway 网关 token（如需要）。 - `--password `：Gateway 网关密码（密码认证）。 - `--timeout `：RPC 超时。 - `--json`：JSON 输出（推荐用于脚本）。 ## 注意事项 - Token 轮换会返回新 token（敏感信息）。请像对待密钥一样对待它。 - 这些命令需要 `operator.pairing`（或 `operator.admin`）scope。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/cli/devices.md | main | opebclaw | [
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# `openclaw directory` 对支持目录功能的渠道进行查找（联系人/对等方、群组和"我"）。 ## 通用参数 - `--channel `：渠道 ID/别名（配置了多个渠道时为必填；仅配置一个渠道时自动选择） - `--account `：账号 ID（默认：渠道默认账号） - `--json`：输出 JSON 格式 ## 说明 - `directory` 用于帮助你查找可粘贴到其他命令中的 ID（特别是 `openclaw message send --target ...`）。 - 对于许多渠道，结果来源于配置（允许列表/已配置的群组），而非实时的提供商目录。 - 默认输出为以制表符分隔的 `id`（有时包含 `name`）；脚本中请使用 `--json`。 ## 将结果用于 `message send` ```bash openclaw directory peers list --channel slack --query "U0" openclaw message send --channel slack --target user:U012ABCDEF --message "hello" ``` ## ID 格式（按渠道） - WhatsApp：`+15551234567`（私聊），`1234567890-1234567890@g.us`（群组） - Telegram：`@username` 或数字聊天 ID；群组为数字 ID - Slack：`user:U…` 和 `channel:C…` - Discord：`user:` 和 `channel:` - Matrix（插件）：`user:@user:server`、`room:!roomId:server` 或 `#alias:server` - Microsoft Teams（插件）：`user:` 和 `conversation:` - Zalo（插件）：用户 ID（Bot API） - Zalo Personal / `zalouser`（插件）：来自 `zca` 的会话 ID（私聊/群组）（`me`、`friend list`、`group list`） ## Self（"我"） ```bash openclaw directory self --channel zalouser ``` ## Peers（联系人/用户） ```bash openclaw directory peers list --channel zalouser openclaw directory peers list --channel zalouser --query "name" openclaw directory peers list --channel zalouser --limit 50 ``` ## 群组 ```bash openclaw directory groups list --channel zalouser openclaw directory groups list --channel zalouser --query "work" openclaw directory groups members --channel zalouser --group-id ``` | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/cli/directory.md | main | opebclaw | [
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# `openclaw node` 运行一个\*\*无头节点主机\*\*，连接到 Gateway 网关 WebSocket 并在此机器上暴露 `system.run` / `system.which`。 ## 为什么使用节点主机？ 当你希望智能体\*\*在网络中的其他机器上运行命令\*\*，而无需在那里安装完整的 macOS 配套应用时，请使用节点主机。 常见用例： - 在远程 Linux/Windows 机器上运行命令（构建服务器、实验室机器、NAS）。 - 在 Gateway 网关上保持执行的\*\*沙箱隔离\*\*，但将批准的运行委托给其他主机。 - 为自动化或 CI 节点提供轻量级、无头的执行目标。 执行仍然受\*\*执行批准\*\*和节点主机上的每智能体允许列表保护，因此你可以保持命令访问的范围明确。 ## 浏览器代理（零配置） 如果节点上的 `browser.enabled` 未被禁用，节点主机会自动广播浏览器代理。这让智能体无需额外配置即可在该节点上使用浏览器自动化。 如需在节点上禁用： ```json5 { nodeHost: { browserProxy: { enabled: false, }, }, } ``` ## 运行（前台） ```bash openclaw node run --host --port 18789 ``` 选项： - `--host `：Gateway 网关 WebSocket 主机（默认：`127.0.0.1`） - `--port `：Gateway 网关 WebSocket 端口（默认：`18789`） - `--tls`：为 Gateway 网关连接使用 TLS - `--tls-fingerprint `：预期的 TLS 证书指纹（sha256） - `--node-id `：覆盖节点 id（清除配对 token） - `--display-name `：覆盖节点显示名称 ## 服务（后台） 将无头节点主机安装为用户服务。 ```bash openclaw node install --host --port 18789 ``` 选项： - `--host `：Gateway 网关 WebSocket 主机（默认：`127.0.0.1`） - `--port `：Gateway 网关 WebSocket 端口（默认：`18789`） - `--tls`：为 Gateway 网关连接使用 TLS - `--tls-fingerprint `：预期的 TLS 证书指纹（sha256） - `--node-id `：覆盖节点 id（清除配对 token） - `--display-name `：覆盖节点显示名称 - `--runtime `：服务运行时（`node` 或 `bun`） - `--force`：如果已安装则重新安装/覆盖 管理服务： ```bash openclaw node status openclaw node stop openclaw node restart openclaw node uninstall ``` 使用 `openclaw node run` 运行前台节点主机（无服务）。 服务命令接受 `--json` 以获取机器可读输出。 ## 配对 首次连接会在 Gateway 网关上创建待处理的节点配对请求。 通过以下方式批准： ```bash openclaw nodes pending openclaw nodes approve ``` 节点主机将其节点 id、token、显示名称和 Gateway 网关连接信息存储在 `~/.openclaw/node.json` 中。 ## 执行批准 `system.run` 受本地执行批准限制： - `~/.openclaw/exec-approvals.json` - [执行批准](/tools/exec-approvals) - `openclaw approvals --node `（从 Gateway 网关编辑） | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/cli/node.md | main | opebclaw | [
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# `openclaw channels` 管理 Gateway 网关上的聊天渠道账户及其运行时状态。 相关文档： - 渠道指南：[渠道](/channels/index) - Gateway 网关配置：[配置](/gateway/configuration) ## 常用命令 ```bash openclaw channels list openclaw channels status openclaw channels capabilities openclaw channels capabilities --channel discord --target channel:123 openclaw channels resolve --channel slack "#general" "@jane" openclaw channels logs --channel all ``` ## 添加/删除账户 ```bash openclaw channels add --channel telegram --token openclaw channels remove --channel telegram --delete ``` 提示：`openclaw channels add --help` 显示每个渠道的标志（token、app token、signal-cli 路径等）。 ## 登录/登出（交互式） ```bash openclaw channels login --channel whatsapp openclaw channels logout --channel whatsapp ``` ## 故障排除 - 运行 `openclaw status --deep` 进行全面探测。 - 使用 `openclaw doctor` 获取引导式修复。 - `openclaw channels list` 输出 `Claude: HTTP 403 ... user:profile` → 用量快照需要 `user:profile` 权限范围。使用 `--no-usage`，或提供 claude.ai 会话密钥（`CLAUDE\_WEB\_SESSION\_KEY` / `CLAUDE\_WEB\_COOKIE`），或通过 Claude Code CLI 重新授权。 ## 能力探测 获取提供商能力提示（可用的 intents/scopes）以及静态功能支持： ```bash openclaw channels capabilities openclaw channels capabilities --channel discord --target channel:123 ``` 说明： - `--channel` 是可选的；省略它可列出所有渠道（包括扩展）。 - `--target` 接受 `channel:` 或原始数字频道 id，仅适用于 Discord。 - 探测是特定于提供商的：Discord intents + 可选的频道权限；Slack bot + user scopes；Telegram bot 标志 + webhook；Signal daemon 版本；MS Teams app token + Graph roles/scopes（在已知处标注）。没有探测功能的渠道报告 `Probe: unavailable`。 ## 解析名称为 ID 使用提供商目录将渠道/用户名称解析为 ID： ```bash openclaw channels resolve --channel slack "#general" "@jane" openclaw channels resolve --channel discord "My Server/#support" "@someone" openclaw channels resolve --channel matrix "Project Room" ``` 说明： - 使用 `--kind user|group|auto` 强制指定目标类型。 - 当多个条目共享相同名称时，解析优先选择活跃的匹配项。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/cli/channels.md | main | opebclaw | [
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# `openclaw nodes` 管理已配对的节点（设备）并调用节点功能。 相关内容： - 节点概述：[节点](/nodes) - 摄像头：[摄像头节点](/nodes/camera) - 图像：[图像节点](/nodes/images) 通用选项： - `--url`、`--token`、`--timeout`、`--json` ## 常用命令 ```bash openclaw nodes list openclaw nodes list --connected openclaw nodes list --last-connected 24h openclaw nodes pending openclaw nodes approve openclaw nodes status openclaw nodes status --connected openclaw nodes status --last-connected 24h ``` `nodes list` 打印待处理/已配对表格。已配对行包含最近连接时长（Last Connect）。 使用 `--connected` 仅显示当前已连接的节点。使用 `--last-connected ` 筛选在指定时间段内连接过的节点（例如 `24h`、`7d`）。 ## 调用 / 运行 ```bash openclaw nodes invoke --node --command --params openclaw nodes run --node openclaw nodes run --raw "git status" openclaw nodes run --agent main --node --raw "git status" ``` 调用标志： - `--params `：JSON 对象字符串（默认 `{}`）。 - `--invoke-timeout `：节点调用超时（默认 `15000`）。 - `--idempotency-key `：可选的幂等键。 ### Exec 风格默认值 `nodes run` 与模型的 exec 行为一致（默认值 + 审批）： - 读取 `tools.exec.\*`（以及 `agents.list[].tools.exec.\*` 覆盖）。 - 在调用 `system.run` 前使用 exec 审批（`exec.approval.request`）。 - 当设置了 `tools.exec.node` 时可省略 `--node`。 - 需要支持 `system.run` 的节点（macOS 配套应用或无头节点主机）。 标志： - `--cwd `：工作目录。 - `--env `：环境变量覆盖（可重复）。 - `--command-timeout `：命令超时。 - `--invoke-timeout `：节点调用超时（默认 `30000`）。 - `--needs-screen-recording`：要求屏幕录制权限。 - `--raw `：运行 shell 字符串（`/bin/sh -lc` 或 `cmd.exe /c`）。 - `--agent `：智能体范围的审批/白名单（默认为已配置的智能体）。 - `--ask `、`--security `：覆盖选项。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/cli/nodes.md | main | opebclaw | [
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# `openclaw config` 配置辅助命令：通过路径获取/设置/取消设置值。不带子命令运行将打开 配置向导（与 `openclaw configure` 相同）。 ## 示例 ```bash openclaw config get browser.executablePath openclaw config set browser.executablePath "/usr/bin/google-chrome" openclaw config set agents.defaults.heartbeat.every "2h" openclaw config set agents.list[0].tools.exec.node "node-id-or-name" openclaw config unset tools.web.search.apiKey ``` ## 路径 路径使用点号或括号表示法： ```bash openclaw config get agents.defaults.workspace openclaw config get agents.list[0].id ``` 使用智能体列表索引来定位特定智能体： ```bash openclaw config get agents.list openclaw config set agents.list[1].tools.exec.node "node-id-or-name" ``` ## 值 值会尽可能解析为 JSON5；否则将被视为字符串。 使用 `--json` 强制要求 JSON5 解析。 ```bash openclaw config set agents.defaults.heartbeat.every "0m" openclaw config set gateway.port 19001 --json openclaw config set channels.whatsapp.groups '["\*"]' --json ``` 编辑后请重启 Gateway 网关。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/cli/config.md | main | opebclaw | [
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# `openclaw memory` 管理语义记忆的索引和搜索。 由活跃的记忆插件提供（默认：`memory-core`；设置 `plugins.slots.memory = "none"` 可禁用）。 相关内容： - 记忆概念：[记忆](/concepts/memory) - 插件：[插件](/plugins) ## 示例 ```bash openclaw memory status openclaw memory status --deep openclaw memory status --deep --index openclaw memory status --deep --index --verbose openclaw memory index openclaw memory index --verbose openclaw memory search "release checklist" openclaw memory status --agent main openclaw memory index --agent main --verbose ``` ## 选项 通用选项： - `--agent `：限定到单个智能体（默认：所有已配置的智能体）。 - `--verbose`：在探测和索引期间输出详细日志。 说明： - `memory status --deep` 探测向量存储和嵌入模型的可用性。 - `memory status --deep --index` 在存储有未同步变更时运行重新索引。 - `memory index --verbose` 打印每个阶段的详细信息（提供商、模型、数据源、批处理活动）。 - `memory status` 包含通过 `memorySearch.extraPaths` 配置的所有额外路径。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/cli/memory.md | main | opebclaw | [
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# `openclaw approvals` 管理\*\*本地主机\*\*、\*\*Gateway 网关主机\*\*或\*\*节点主机\*\*的执行审批。 默认情况下，命令针对磁盘上的本地审批文件。使用 `--gateway` 可针对 Gateway 网关，使用 `--node` 可针对特定节点。 相关内容： - 执行审批：[执行审批](/tools/exec-approvals) - 节点：[节点](/nodes) ## 常用命令 ```bash openclaw approvals get openclaw approvals get --node openclaw approvals get --gateway ``` ## 从文件替换审批 ```bash openclaw approvals set --file ./exec-approvals.json openclaw approvals set --node --file ./exec-approvals.json openclaw approvals set --gateway --file ./exec-approvals.json ``` ## 允许列表辅助命令 ```bash openclaw approvals allowlist add "~/Projects/\*\*/bin/rg" openclaw approvals allowlist add --agent main --node "/usr/bin/uptime" openclaw approvals allowlist add --agent "\*" "/usr/bin/uname" openclaw approvals allowlist remove "~/Projects/\*\*/bin/rg" ``` ## 注意事项 - `--node` 使用与 `openclaw nodes` 相同的解析器（id、name、ip 或 id 前缀）。 - `--agent` 默认为 `"\*"`，表示适用于所有智能体。 - 节点主机必须公开 `system.execApprovals.get/set`（macOS 应用或无头节点主机）。 - 审批文件按主机存储在 `~/.openclaw/exec-approvals.json`。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/cli/approvals.md | main | opebclaw | [
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# CLI 参考 本页描述当前的 CLI 行为。如果命令发生变化，请更新此文档。 ## 命令页面 - [`setup`](/cli/setup) - [`onboard`](/cli/onboard) - [`configure`](/cli/configure) - [`config`](/cli/config) - [`doctor`](/cli/doctor) - [`dashboard`](/cli/dashboard) - [`reset`](/cli/reset) - [`uninstall`](/cli/uninstall) - [`update`](/cli/update) - [`message`](/cli/message) - [`agent`](/cli/agent) - [`agents`](/cli/agents) - [`acp`](/cli/acp) - [`status`](/cli/status) - [`health`](/cli/health) - [`sessions`](/cli/sessions) - [`gateway`](/cli/gateway) - [`logs`](/cli/logs) - [`system`](/cli/system) - [`models`](/cli/models) - [`memory`](/cli/memory) - [`nodes`](/cli/nodes) - [`devices`](/cli/devices) - [`node`](/cli/node) - [`approvals`](/cli/approvals) - [`sandbox`](/cli/sandbox) - [`tui`](/cli/tui) - [`browser`](/cli/browser) - [`cron`](/cli/cron) - [`dns`](/cli/dns) - [`docs`](/cli/docs) - [`hooks`](/cli/hooks) - [`webhooks`](/cli/webhooks) - [`pairing`](/cli/pairing) - [`plugins`](/cli/plugins)（插件命令） - [`channels`](/cli/channels) - [`security`](/cli/security) - [`skills`](/cli/skills) - [`voicecall`](/cli/voicecall)（插件；如已安装） ## 全局标志 - `--dev`：将状态隔离到 `~/.openclaw-dev` 下并调整默认端口。 - `--profile `：将状态隔离到 `~/.openclaw-` 下。 - `--no-color`：禁用 ANSI 颜色。 - `--update`：`openclaw update` 的简写（仅限源码安装）。 - `-V`、`--version`、`-v`：打印版本并退出。 ## 输出样式 - ANSI 颜色和进度指示器仅在 TTY 会话中渲染。 - OSC-8 超链接在支持的终端中渲染为可点击链接；否则回退到纯 URL。 - `--json`（以及支持的地方使用 `--plain`）禁用样式以获得干净输出。 - `--no-color` 禁用 ANSI 样式；也支持 `NO\_COLOR=1`。 - 长时间运行的命令显示进度指示器（支持时使用 OSC 9;4）。 ## 颜色调色板 OpenClaw 在 CLI 输出中使用龙虾调色板。 - `accent`（#FF5A2D）：标题、标签、主要高亮。 - `accentBright`（#FF7A3D）：命令名称、强调。 - `accentDim`（#D14A22）：次要高亮文本。 - `info`（#FF8A5B）：信息性值。 - `success`（#2FBF71）：成功状态。 - `warn`（#FFB020）：警告、回退、注意。 - `error`（#E23D2D）：错误、失败。 - `muted`（#8B7F77）：弱化、元数据。 调色板权威来源：`src/terminal/palette.ts`（又名"lobster seam"）。 ## 命令树 ``` openclaw [--dev] [--profile ] setup onboard configure config get set unset doctor security audit reset uninstall update channels list status logs add remove login logout skills list info check plugins list info install enable disable doctor memory status index search message agent agents list add delete acp status health sessions gateway call health status probe discover install uninstall start stop restart run logs system event heartbeat last|enable|disable presence models list status set set-image aliases list|add|remove fallbacks list|add|remove|clear image-fallbacks list|add|remove|clear scan auth add|setup-token|paste-token auth order get|set|clear sandbox list recreate explain cron status list add edit rm enable disable runs run nodes devices node run status install uninstall start stop restart approvals get set allowlist add|remove browser status start stop reset-profile tabs open focus close profiles create-profile delete-profile screenshot snapshot navigate resize click type press hover drag select upload fill dialog wait evaluate console pdf hooks list info check enable disable install update webhooks gmail setup|run pairing list approve docs dns setup tui ``` 注意：插件可以添加额外的顶级命令（例如 `openclaw voicecall`）。 ## 安全 - `openclaw security audit` — 审计配置 + 本地状态中常见的安全隐患。 - `openclaw security audit --deep` — 尽力进行实时 Gateway 网关探测。 - `openclaw security audit --fix` — 收紧安全默认值并 chmod 状态/配置。 ## 插件 管理扩展及其配置： - `openclaw plugins list` — 发现插件（使用 `--json` 获取机器可读输出）。 - `openclaw plugins info ` — 显示插件详情。 - `openclaw plugins install ` — 安装插件（或将插件路径添加到 `plugins.load.paths`）。 - `openclaw plugins enable ` / `disable ` — 切换 `plugins.entries..enabled`。 - `openclaw plugins doctor` — 报告插件加载错误。 大多数插件更改需要重启 Gateway 网关。参见 [/plugin](/plugin)。 ## 记忆 对 `MEMORY.md` + `memory/\*.md` 进行向量搜索： - `openclaw memory status` — 显示索引统计。 - `openclaw memory index` — 重新索引记忆文件。 - `openclaw memory search ""` — 对记忆进行语义搜索。 ## 聊天斜杠命令 聊天消息支持 `/...` 命令（文本和原生）。参见 [/tools/slash-commands](/tools/slash-commands)。 亮点： - `/status` 用于快速诊断。 - `/config` 用于持久化配置更改。 - `/debug` 用于仅运行时的配置覆盖（内存中，不写入磁盘；需要 `commands.debug: true`）。 ## 设置 + 新手引导 ### `setup` 初始化配置 + 工作区。 选项： - `--workspace `：智能体工作区路径（默认 `~/.openclaw/workspace`）。 - `--wizard`：运行新手引导向导。 - `--non-interactive`：无提示运行向导。 - `--mode `：向导模式。 - `--remote-url `：远程 Gateway 网关 URL。 - `--remote-token `：远程 Gateway 网关令牌。 当存在任何向导标志（`--non-interactive`、`--mode`、`--remote-url`、`--remote-token`）时，向导自动运行。 ### `onboard` 交互式向导，用于设置 Gateway 网关、工作区和 Skills。 选项： - `--workspace ` - `--reset`（在向导之前重置配置 + 凭证 + 会话 + 工作区） - `--non-interactive` - `--mode ` - `--flow `（manual 是 advanced 的别名） - `--auth-choice ` - `--token-provider `（非交互式；与 `--auth-choice token` 配合使用） - `--token `（非交互式；与 `--auth-choice token` 配合使用） - `--token-profile-id `（非交互式；默认：`:manual`） - `--token-expires-in `（非交互式；例如 `365d`、`12h`） - `--anthropic-api-key ` - `--openai-api-key ` - `--openrouter-api-key ` - `--ai-gateway-api-key ` - `--moonshot-api-key ` - `--kimi-code-api-key ` - `--gemini-api-key ` - `--zai-api-key ` - `--minimax-api-key ` - `--opencode-zen-api-key ` - `--gateway-port ` - `--gateway-bind ` - `--gateway-auth ` - `--gateway-token ` - `--gateway-password ` - `--remote-url ` - `--remote-token ` - `--tailscale ` - `--tailscale-reset-on-exit` - `--install-daemon` - `--no-install-daemon`（别名：`--skip-daemon`） - `--daemon-runtime ` - `--skip-channels` - `--skip-skills` - `--skip-health` - `--skip-ui` - `--node-manager `（推荐 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/cli/index.md | main | opebclaw | [
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- `--minimax-api-key ` - `--opencode-zen-api-key ` - `--gateway-port ` - `--gateway-bind ` - `--gateway-auth ` - `--gateway-token ` - `--gateway-password ` - `--remote-url ` - `--remote-token ` - `--tailscale ` - `--tailscale-reset-on-exit` - `--install-daemon` - `--no-install-daemon`（别名：`--skip-daemon`） - `--daemon-runtime ` - `--skip-channels` - `--skip-skills` - `--skip-health` - `--skip-ui` - `--node-manager `（推荐 pnpm；不建议将 bun 用于 Gateway 网关运行时） - `--json` ### `configure` 交互式配置向导（模型、渠道、Skills、Gateway 网关）。 ### `config` 非交互式配置辅助工具（get/set/unset）。不带子命令运行 `openclaw config` 会启动向导。 子命令： - `config get `：打印配置值（点/括号路径）。 - `config set `：设置值（JSON5 或原始字符串）。 - `config unset `：删除值。 ### `doctor` 健康检查 + 快速修复（配置 + Gateway 网关 + 旧版服务）。 选项： - `--no-workspace-suggestions`：禁用工作区记忆提示。 - `--yes`：无提示接受默认值（无头模式）。 - `--non-interactive`：跳过提示；仅应用安全迁移。 - `--deep`：扫描系统服务以查找额外的 Gateway 网关安装。 ## 渠道辅助工具 ### `channels` 管理聊天渠道账户（WhatsApp/Telegram/Discord/Google Chat/Slack/Mattermost（插件）/Signal/iMessage/MS Teams）。 子命令： - `channels list`：显示已配置的渠道和认证配置文件。 - `channels status`：检查 Gateway 网关可达性和渠道健康状况（`--probe` 运行额外检查；使用 `openclaw health` 或 `openclaw status --deep` 进行 Gateway 网关健康探测）。 - 提示：`channels status` 在检测到常见配置错误时会打印带有建议修复的警告（然后指向 `openclaw doctor`）。 - `channels logs`：显示 Gateway 网关日志文件中最近的渠道日志。 - `channels add`：不传标志时使用向导式设置；标志切换到非交互模式。 - `channels remove`：默认禁用；传 `--delete` 可无提示删除配置条目。 - `channels login`：交互式渠道登录（仅限 WhatsApp Web）。 - `channels logout`：登出渠道会话（如支持）。 通用选项： - `--channel `：`whatsapp|telegram|discord|googlechat|slack|mattermost|signal|imessage|msteams` - `--account `：渠道账户 id（默认 `default`） - `--name `：账户的显示名称 `channels login` 选项： - `--channel `（默认 `whatsapp`；支持 `whatsapp`/`web`） - `--account ` - `--verbose` `channels logout` 选项： - `--channel `（默认 `whatsapp`） - `--account ` `channels list` 选项： - `--no-usage`：跳过模型提供商用量/配额快照（仅限 OAuth/API 支持的）。 - `--json`：输出 JSON（除非设置 `--no-usage`，否则包含用量）。 `channels logs` 选项： - `--channel `（默认 `all`） - `--lines `（默认 `200`） - `--json` 更多详情：[/concepts/oauth](/concepts/oauth) 示例： ```bash openclaw channels add --channel telegram --account alerts --name "Alerts Bot" --token $TELEGRAM\_BOT\_TOKEN openclaw channels add --channel discord --account work --name "Work Bot" --token $DISCORD\_BOT\_TOKEN openclaw channels remove --channel discord --account work --delete openclaw channels status --probe openclaw status --deep ``` ### `skills` 列出和检查可用的 Skills 及就绪信息。 子命令： - `skills list`：列出 Skills（无子命令时的默认行为）。 - `skills info `：显示单个 Skill 的详情。 - `skills check`：就绪与缺失需求的摘要。 选项： - `--eligible`：仅显示就绪的 Skills。 - `--json`：输出 JSON（无样式）。 - `-v`、`--verbose`：包含缺失需求详情。 提示：使用 `npx clawhub` 搜索、安装和同步 Skills。 ### `pairing` 批准跨渠道的私信配对请求。 子命令： - `pairing list [--json]` - `pairing approve ```` [--notify]` ### `webhooks gmail` Gmail Pub/Sub 钩子设置 + 运行器。参见 [/automation/gmail-pubsub](/automation/gmail-pubsub)。 子命令： - `webhooks gmail setup`（需要 `--account `；支持 `--project`、`--topic`、`--subscription`、`--label`、`--hook-url`、`--hook-token`、`--push-token`、`--bind`、`--port`、`--path`、`--include-body`、`--max-bytes`、`--renew-minutes`、`--tailscale`、`--tailscale-path`、`--tailscale-target`、`--push-endpoint`、`--json`） - `webhooks gmail run`（相同标志的运行时覆盖） ### `dns setup` 广域发现 DNS 辅助工具（CoreDNS + Tailscale）。参见 [/gateway/discovery](/gateway/discovery)。 选项： - `--apply`：安装/更新 CoreDNS 配置（需要 sudo；仅限 macOS）。 ## 消息 + 智能体 ### `message` 统一的出站消息 + 渠道操作。 参见：[/cli/message](/cli/message) 子命令： - `message send|poll|react|reactions|read|edit|delete|pin|unpin|pins|permissions|search|timeout|kick|ban` - `message thread ` - `message emoji ` - `message sticker ` - `message role ` - `message channel ` - `message member info` - `message voice status` - `message event ` 示例： - `openclaw message send --target +15555550123 --message "Hi"` - `openclaw message poll --channel discord --target channel:123 --poll-question "Snack?" --poll-option Pizza --poll-option Sushi` ### `agent` 通过 Gateway 网关运行一个智能体回合（或使用 `--local` 嵌入式运行）。 必需： - `--message ` 选项： - `--to `（用于会话键和可选发送） - `--session-id ` - `--thinking `（仅限 GPT-5.2 + Codex 模型） - `--verbose ` - `--channel ` - `--local` - `--deliver` - `--json` - `--timeout ` ### `agents` 管理隔离的智能体（工作区 + 认证 + 路由）。 #### `agents list` 列出已配置的智能体。 选项： - `--json` - `--bindings` #### `agents add [name]` 添加新的隔离智能体。除非传入标志（或 `--non-interactive`），否则运行引导向导；非交互模式下 `--workspace` 是必需的。 选项： - `--workspace ` - `--model ` - `--agent-dir ` - `--bind `（可重复） - `--non-interactive` - `--json` 绑定规范使用 `channel[:accountId]`。对于 WhatsApp，省略 `accountId` 时使用默认账户 id。 #### `agents delete ` 删除智能体并清理其工作区 + 状态。 选项： - `--force` - `--json` ### `acp` 运行连接 IDE 到 Gateway 网关的 ACP 桥接。 完整选项和示例参见 [`acp`](/cli/acp)。 ### `status` 显示关联会话健康状况和最近的收件人。 选项： - `--json` - `--all`（完整诊断；只读，可粘贴） - `--deep`（探测渠道） - `--usage`（显示模型提供商用量/配额） - `--timeout ` - `--verbose` - `--debug`（`--verbose` 的别名） 说明： - 概览包含 Gateway 网关 + 节点主机服务状态（如可用）。 ### 用量跟踪 当 OAuth/API 凭证可用时，OpenClaw 可以显示提供商用量/配额。 显示位置： - `/status`（可用时添加简短的提供商用量行） - `openclaw status --usage`（打印完整的提供商明细） - macOS 菜单栏（上下文下的用量部分） 说明： - 数据直接来自提供商用量端点（非估算）。 - 提供商：Anthropic、GitHub Copilot、OpenAI Codex OAuth，以及启用这些提供商插件时的 Gemini CLI/Antigravity。 - 如果没有匹配的凭证，用量会被隐藏。 - 详情：参见[用量跟踪](/concepts/usage-tracking)。 ### `health` 从运行中的 Gateway 网关获取健康状态。 选项： - `--json` - `--timeout ` - `--verbose` ### `sessions` 列出存储的对话会话。 选项： - `--json` - `--verbose` - `--store ` | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/cli/index.md | main | opebclaw | [
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凭证可用时，OpenClaw 可以显示提供商用量/配额。 显示位置： - `/status`（可用时添加简短的提供商用量行） - `openclaw status --usage`（打印完整的提供商明细） - macOS 菜单栏（上下文下的用量部分） 说明： - 数据直接来自提供商用量端点（非估算）。 - 提供商：Anthropic、GitHub Copilot、OpenAI Codex OAuth，以及启用这些提供商插件时的 Gemini CLI/Antigravity。 - 如果没有匹配的凭证，用量会被隐藏。 - 详情：参见[用量跟踪](/concepts/usage-tracking)。 ### `health` 从运行中的 Gateway 网关获取健康状态。 选项： - `--json` - `--timeout ` - `--verbose` ### `sessions` 列出存储的对话会话。 选项： - `--json` - `--verbose` - `--store ` - `--active ` ## 重置/卸载 ### `reset` 重置本地配置/状态（保留 CLI 安装）。 选项： - `--scope ` - `--yes` - `--non-interactive` - `--dry-run` 说明： - `--non-interactive` 需要 `--scope` 和 `--yes`。 ### `uninstall` 卸载 Gateway 网关服务 + 本地数据（CLI 保留）。 选项： - `--service` - `--state` - `--workspace` - `--app` - `--all` - `--yes` - `--non-interactive` - `--dry-run` 说明： - `--non-interactive` 需要 `--yes` 和明确的范围（或 `--all`）。 ## Gateway 网关 ### `gateway` 运行 WebSocket Gateway 网关。 选项： - `--port ` - `--bind ` - `--token ` - `--auth ` - `--password ` - `--tailscale ` - `--tailscale-reset-on-exit` - `--allow-unconfigured` - `--dev` - `--reset`（重置 dev 配置 + 凭证 + 会话 + 工作区） - `--force`（终止端口上的现有监听器） - `--verbose` - `--claude-cli-logs` - `--ws-log ` - `--compact`（`--ws-log compact` 的别名） - `--raw-stream` - `--raw-stream-path ` ### `gateway service` 管理 Gateway 网关服务（launchd/systemd/schtasks）。 子命令： - `gateway status`（默认探测 Gateway 网关 RPC） - `gateway install`（服务安装） - `gateway uninstall` - `gateway start` - `gateway stop` - `gateway restart` 说明： - `gateway status` 默认使用服务解析的端口/配置探测 Gateway 网关 RPC（使用 `--url/--token/--password` 覆盖）。 - `gateway status` 支持 `--no-probe`、`--deep` 和 `--json` 用于脚本化。 - `gateway status` 在检测到旧版或额外的 Gateway 网关服务时也会显示（`--deep` 添加系统级扫描）。配置文件命名的 OpenClaw 服务被视为一等公民，不会被标记为"额外"。 - `gateway status` 打印 CLI 使用的配置路径与服务可能使用的配置（服务环境），以及解析的探测目标 URL。 - `gateway install|uninstall|start|stop|restart` 支持 `--json` 用于脚本化（默认输出保持人类友好）。 - `gateway install` 默认使用 Node 运行时；**不建议**使用 bun（WhatsApp/Telegram bug）。 - `gateway install` 选项：`--port`、`--runtime`、`--token`、`--force`、`--json`。 ### `logs` 通过 RPC 跟踪 Gateway 网关文件日志。 说明： - TTY 会话渲染彩色、结构化视图；非 TTY 回退到纯文本。 - `--json` 输出行分隔的 JSON（每行一个日志事件）。 示例： ```bash openclaw logs --follow openclaw logs --limit 200 openclaw logs --plain openclaw logs --json openclaw logs --no-color ``` ### `gateway ` Gateway 网关 CLI 辅助工具（RPC 子命令使用 `--url`、`--token`、`--password`、`--timeout`、`--expect-final`）。 子命令： - `gateway call [--params ]` - `gateway health` - `gateway status` - `gateway probe` - `gateway discover` - `gateway install|uninstall|start|stop|restart` - `gateway run` 常见 RPC： - `config.apply`（验证 + 写入配置 + 重启 + 唤醒） - `config.patch`（合并部分更新 + 重启 + 唤醒） - `update.run`（运行更新 + 重启 + 唤醒） 提示：直接调用 `config.set`/`config.apply`/`config.patch` 时，如果配置已存在，请传入来自 `config.get` 的 `baseHash`。 ## 模型 回退行为和扫描策略参见 [/concepts/models](/concepts/models)。 首选 Anthropic 认证（setup-token）： ```bash claude setup-token openclaw models auth setup-token --provider anthropic openclaw models status ``` ### `models`（根命令） `openclaw models` 是 `models status` 的别名。 根选项： - `--status-json`（`models status --json` 的别名） - `--status-plain`（`models status --plain` 的别名） ### `models list` 选项： - `--all` - `--local` - `--provider ` - `--json` - `--plain` ### `models status` 选项： - `--json` - `--plain` - `--check`（退出码 1=过期/缺失，2=即将过期） - `--probe`（对已配置认证配置文件进行实时探测） - `--probe-provider ` - `--probe-profile `（重复或逗号分隔） - `--probe-timeout ` - `--probe-concurrency ` - `--probe-max-tokens ` 始终包含认证概览和认证存储中配置文件的 OAuth 过期状态。`--probe` 运行实时请求（可能消耗令牌并触发速率限制）。 ### `models set ` 设置 `agents.defaults.model.primary`。 ### `models set-image ` 设置 `agents.defaults.imageModel.primary`。 ### `models aliases list|add|remove` 选项： - `list`：`--json`、`--plain` - `add ` - `remove ` ### `models fallbacks list|add|remove|clear` 选项： - `list`：`--json`、`--plain` - `add ` - `remove ` - `clear` ### `models image-fallbacks list|add|remove|clear` 选项： - `list`：`--json`、`--plain` - `add ` - `remove ` - `clear` ### `models scan` 选项： - `--min-params ` - `--max-age-days ` - `--provider ` - `--max-candidates ` - `--timeout ` - `--concurrency ` - `--no-probe` - `--yes` - `--no-input` - `--set-default` - `--set-image` - `--json` ### `models auth add|setup-token|paste-token` 选项： - `add`：交互式认证辅助工具 - `setup-token`：`--provider `（默认 `anthropic`）、`--yes` - `paste-token`：`--provider `、`--profile-id `、`--expires-in ` ### `models auth order get|set|clear` 选项： - `get`：`--provider `、`--agent `、`--json` - `set`：`--provider `、`--agent `、`` - `clear`：`--provider `、`--agent ` ## 系统 ### `system event` 将系统事件加入队列并可选触发心跳（Gateway 网关 RPC）。 必需： - `--text ` 选项： - `--mode ` - `--json` - `--url`、`--token`、`--timeout`、`--expect-final` ### `system heartbeat last|enable|disable` 心跳控制（Gateway 网关 RPC）。 选项： - `--json` - `--url`、`--token`、`--timeout`、`--expect-final` ### `system presence` 列出系统存在条目（Gateway 网关 RPC）。 选项： - `--json` - `--url`、`--token`、`--timeout`、`--expect-final` | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/cli/index.md | main | opebclaw | [
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`set`：`--provider `、`--agent `、`` - `clear`：`--provider `、`--agent ` ## 系统 ### `system event` 将系统事件加入队列并可选触发心跳（Gateway 网关 RPC）。 必需： - `--text ` 选项： - `--mode ` - `--json` - `--url`、`--token`、`--timeout`、`--expect-final` ### `system heartbeat last|enable|disable` 心跳控制（Gateway 网关 RPC）。 选项： - `--json` - `--url`、`--token`、`--timeout`、`--expect-final` ### `system presence` 列出系统存在条目（Gateway 网关 RPC）。 选项： - `--json` - `--url`、`--token`、`--timeout`、`--expect-final` ## 定时任务 管理计划任务（Gateway 网关 RPC）。参见 [/automation/cron-jobs](/automation/cron-jobs)。 子命令： - `cron status [--json]` - `cron list [--all] [--json]`（默认表格输出；使用 `--json` 获取原始数据） - `cron add`（别名：`create`；需要 `--name` 和 `--at` | `--every` | `--cron` 三选一，以及 `--system-event` | `--message` 负载二选一） - `cron edit `（补丁字段） - `cron rm `（别名：`remove`、`delete`） - `cron enable ` - `cron disable ` - `cron runs --id [--limit ]` - `cron run [--force]` 所有 `cron` 命令接受 `--url`、`--token`、`--timeout`、`--expect-final`。 ## 节点主机 `node` 运行**无头节点主机**或将其作为后台服务管理。参见 [`openclaw node`](/cli/node)。 子命令： - `node run --host --port 18789` - `node status` - `node install [--host ] [--port ] [--tls] [--tls-fingerprint ] [--node-id ] [--display-name ] [--runtime ] [--force]` - `node uninstall` - `node stop` - `node restart` ## 节点 `nodes` 与 Gateway 网关通信并针对已配对的节点。参见 [/nodes](/nodes)。 通用选项： - `--url`、`--token`、`--timeout`、`--json` 子命令： - `nodes status [--connected] [--last-connected ]` - `nodes describe --node ` - `nodes list [--connected] [--last-connected ]` - `nodes pending` - `nodes approve ` - `nodes reject ` - `nodes rename --node --name ` - `nodes invoke --node --command [--params ] [--invoke-timeout ] [--idempotency-key ]` - `nodes run --node [--cwd ] [--env KEY=VAL] [--command-timeout ] [--needs-screen-recording] [--invoke-timeout ] `（mac 节点或无头节点主机） - `nodes notify --node [--title ] [--body ] [--sound ] [--priority ] [--delivery ] [--invoke-timeout ]`（仅限 mac） 相机： - `nodes camera list --node ` - `nodes camera snap --node [--facing front|back|both] [--device-id ] [--max-width ] [--quality <0-1>] [--delay-ms ] [--invoke-timeout ]` - `nodes camera clip --node [--facing front|back] [--device-id ] [--duration ] [--no-audio] [--invoke-timeout ]` 画布 + 屏幕： - `nodes canvas snapshot --node [--format png|jpg|jpeg] [--max-width ] [--quality <0-1>] [--invoke-timeout ]` - `nodes canvas present --node [--target ] [--x ] [--y ] [--width ] [--height ] [--invoke-timeout ]` - `nodes canvas hide --node [--invoke-timeout ]` - `nodes canvas navigate --node [--invoke-timeout ]` - `nodes canvas eval [] --node [--js ] [--invoke-timeout ]` - `nodes canvas a2ui push --node (--jsonl | --text ) [--invoke-timeout ]` - `nodes canvas a2ui reset --node [--invoke-timeout ]` - `nodes screen record --node [--screen ] [--duration ] [--fps ] [--no-audio] [--out ] [--invoke-timeout ]` 位置： - `nodes location get --node [--max-age ] [--accuracy ] [--location-timeout ] [--invoke-timeout ]` ## 浏览器 浏览器控制 CLI（专用 Chrome/Brave/Edge/Chromium）。参见 [`openclaw browser`](/cli/browser) 和[浏览器工具](/tools/browser)。 通用选项： - `--url`、`--token`、`--timeout`、`--json` - `--browser-profile ` 管理： - `browser status` - `browser start` - `browser stop` - `browser reset-profile` - `browser tabs` - `browser open ` - `browser focus ` - `browser close [targetId]` - `browser profiles` - `browser create-profile --name [--color ] [--cdp-url ]` - `browser delete-profile --name ` 检查： - `browser screenshot [targetId] [--full-page] [--ref ] [--element ] [--type png|jpeg]` - `browser snapshot [--format aria|ai] [--target-id ] [--limit ] [--interactive] [--compact] [--depth ] [--selector ] [--out ]` 操作： - `browser navigate [--target-id ]` - `browser resize [--target-id ]` - `browser click [--double] [--button ] [--modifiers ] [--target-id ]` - `browser type [--submit] [--slowly] [--target-id ]` - `browser press [--target-id ]` - `browser hover [--target-id ]` - `browser drag [--target-id ]` - `browser select [--target-id ]` - `browser upload [--ref ] [--input-ref ] [--element ] [--target-id ] [--timeout-ms ]` - `browser fill [--fields ] [--fields-file ] [--target-id ]` - `browser dialog --accept|--dismiss [--prompt ] [--target-id ] [--timeout-ms ]` - `browser wait [--time ] [--text ] [--text-gone ] [--target-id ]` - `browser evaluate --fn [--ref ] [--target-id ]` - `browser console [--level ] [--target-id ]` - `browser pdf [--target-id ]` ## 文档搜索 ### `docs [query...]` 搜索在线文档索引。 ## TUI ### `tui` 打开连接到 Gateway 网关的终端 UI。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/cli/index.md | main | opebclaw | [
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] [--target-id ] [--timeout-ms ]` - `browser wait [--time ] [--text ] [--text-gone ] [--target-id ]` - `browser evaluate --fn [--ref ] [--target-id ]` - `browser console [--level ] [--target-id ]` - `browser pdf [--target-id ]` ## 文档搜索 ### `docs [query...]` 搜索在线文档索引。 ## TUI ### `tui` 打开连接到 Gateway 网关的终端 UI。 选项： - `--url ` - `--token ` - `--password ` - `--session ` - `--deliver` - `--thinking ` - `--message ` - `--timeout-ms `（默认为 `agents.defaults.timeoutSeconds`） - `--history-limit ` ```` | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/cli/index.md | main | opebclaw | [
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# `openclaw models` 模型发现、扫描和配置（默认模型、回退、认证配置）。 相关内容： - 提供商 + 模型：[模型](/providers/models) - 提供商认证设置：[快速开始](/start/getting-started) ## 常用命令 ```bash openclaw models status openclaw models list openclaw models set openclaw models scan ``` `openclaw models status` 显示已解析的默认模型/回退配置以及认证概览。 当提供商使用快照可用时，OAuth/令牌状态部分会包含提供商使用头信息。 添加 `--probe` 可对每个已配置的提供商配置运行实时认证探测。 探测会发送真实请求（可能消耗令牌并触发速率限制）。 使用 `--agent ` 可检查已配置智能体的模型/认证状态。省略时， 命令会使用 `OPENCLAW\_AGENT\_DIR`/`PI\_CODING\_AGENT\_DIR`（如已设置），否则使用 已配置的默认智能体。 注意事项： - `models set ` 接受 `provider/model` 或别名。 - 模型引用通过在\*\*第一个\*\* `/` 处拆分来解析。如果模型 ID 包含 `/`（OpenRouter 风格），需包含提供商前缀（示例：`openrouter/moonshotai/kimi-k2`）。 - 如果省略提供商，OpenClaw 会将输入视为别名或\*\*默认提供商\*\*的模型（仅在模型 ID 不包含 `/` 时有效）。 ### `models status` 选项： - `--json` - `--plain` - `--check`（退出码 1=已过期/缺失，2=即将过期） - `--probe`（对已配置的认证配置进行实时探测） - `--probe-provider `（探测单个提供商） - `--probe-profile `（可重复或逗号分隔的配置 ID） - `--probe-timeout ` - `--probe-concurrency ` - `--probe-max-tokens ` - `--agent `（已配置的智能体 ID；覆盖 `OPENCLAW\_AGENT\_DIR`/`PI\_CODING\_AGENT\_DIR`） ## 别名 + 回退 ```bash openclaw models aliases list openclaw models fallbacks list ``` ## 认证配置 ```bash openclaw models auth add openclaw models auth login --provider openclaw models auth setup-token openclaw models auth paste-token ``` `models auth login` 运行提供商插件的认证流程（OAuth/API 密钥）。使用 `openclaw plugins list` 查看已安装的提供商。 注意事项： - `setup-token` 会提示输入 setup-token 值（在任意机器上使用 `claude setup-token` 生成）。 - `paste-token` 接受在其他地方或通过自动化生成的令牌字符串。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/cli/models.md | main | opebclaw | [
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# `openclaw plugins` 管理 Gateway 网关插件/扩展（进程内加载）。 相关内容： - 插件系统：[插件](/plugin) - 插件清单 + 模式：[插件清单](/plugins/manifest) - 安全加固：[安全](/gateway/security) ## 命令 ```bash openclaw plugins list openclaw plugins info openclaw plugins enable openclaw plugins disable openclaw plugins doctor openclaw plugins update openclaw plugins update --all ``` 内置插件随 OpenClaw 一起发布，但默认禁用。使用 `plugins enable` 来激活它们。 所有插件必须提供 `openclaw.plugin.json` 文件，其中包含内联 JSON Schema（`configSchema`，即使为空）。缺少或无效的清单或模式会阻止插件加载并导致配置验证失败。 ### 安装 ```bash openclaw plugins install ``` 安全提示：将插件安装视为运行代码。优先使用固定版本。 支持的归档格式：`.zip`、`.tgz`、`.tar.gz`、`.tar`。 使用 `--link` 避免复制本地目录（添加到 `plugins.load.paths`）： ```bash openclaw plugins install -l ./my-plugin ``` ### 更新 ```bash openclaw plugins update openclaw plugins update --all openclaw plugins update --dry-run ``` 更新仅适用于从 npm 安装的插件（在 `plugins.installs` 中跟踪）。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/cli/plugins.md | main | opebclaw | [
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# `openclaw update` 安全更新 OpenClaw 并在 stable/beta/dev 渠道之间切换。 如果你通过 \*\*npm/pnpm\*\* 安装（全局安装，无 git 元数据），更新通过 [更新](/install/updating) 中的包管理器流程进行。 ## 用法 ```bash openclaw update openclaw update status openclaw update wizard openclaw update --channel beta openclaw update --channel dev openclaw update --tag beta openclaw update --no-restart openclaw update --json openclaw --update ``` ## 选项 - `--no-restart`：成功更新后跳过重启 Gateway 网关服务。 - `--channel `：设置更新渠道（git + npm；持久化到配置中）。 - `--tag `：仅为本次更新覆盖 npm dist-tag 或版本。 - `--json`：打印机器可读的 `UpdateRunResult` JSON。 - `--timeout `：每步超时时间（默认 1200 秒）。 注意：降级需要确认，因为旧版本可能会破坏配置。 ## `update status` 显示当前更新渠道 + git 标签/分支/SHA（对于源码检出），以及更新可用性。 ```bash openclaw update status openclaw update status --json openclaw update status --timeout 10 ``` 选项： - `--json`：打印机器可读的状态 JSON。 - `--timeout `：检查超时时间（默认 3 秒）。 ## `update wizard` 交互式流程，用于选择更新渠道并确认是否在更新后重启 Gateway 网关（默认重启）。如果你选择 `dev` 但没有 git 检出，它会提供创建一个的选项。 ## 工作原理 当你显式切换渠道（`--channel ...`）时，OpenClaw 也会保持安装方式一致： - `dev` → 确保存在 git 检出（默认：`~/openclaw`，可通过 `OPENCLAW\_GIT\_DIR` 覆盖），更新它，并从该检出安装全局 CLI。 - `stable`/`beta` → 使用匹配的 dist-tag 从 npm 安装。 ## Git 检出流程 渠道： - `stable`：检出最新的非 beta 标签，然后构建 + doctor。 - `beta`：检出最新的 `-beta` 标签，然后构建 + doctor。 - `dev`：检出 `main`，然后 fetch + rebase。 高层概述： 1. 需要干净的工作树（无未提交的更改）。 2. 切换到所选渠道（标签或分支）。 3. 获取上游（仅 dev）。 4. 仅 dev：在临时工作树中预检 lint + TypeScript 构建；如果最新提交失败，回退最多 10 个提交以找到最新的干净构建。 5. Rebase 到所选提交（仅 dev）。 6. 安装依赖（优先使用 pnpm；npm 作为备选）。 7. 构建 + 构建控制界面。 8. 运行 `openclaw doctor` 作为最终的"安全更新"检查。 9. 将插件同步到当前渠道（dev 使用捆绑的扩展；stable/beta 使用 npm）并更新 npm 安装的插件。 ## `--update` 简写 `openclaw --update` 会重写为 `openclaw update`（便于 shell 和启动脚本使用）。 ## 另请参阅 - `openclaw doctor`（在 git 检出上会提供先运行更新的选项） - [开发渠道](/install/development-channels) - [更新](/install/updating) - [CLI 参考](/cli) | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/cli/update.md | main | opebclaw | [
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# `openclaw hooks` 管理智能体钩子（针对 `/new`、`/reset` 等命令以及 Gateway 网关启动的事件驱动自动化）。 相关内容： - 钩子：[钩子](/hooks) - 插件钩子：[插件](/plugin#plugin-hooks) ## 列出所有钩子 ```bash openclaw hooks list ``` 列出从工作区、托管目录和内置目录中发现的所有钩子。 \*\*选项：\*\* - `--eligible`：仅显示符合条件的钩子（满足要求） - `--json`：以 JSON 格式输出 - `-v, --verbose`：显示详细信息，包括缺失的要求 \*\*示例输出：\*\* ``` Hooks (4/4 ready) Ready: 🚀 boot-md ✓ - Run BOOT.md on gateway startup 📝 command-logger ✓ - Log all command events to a centralized audit file 💾 session-memory ✓ - Save session context to memory when /new command is issued 😈 soul-evil ✓ - Swap injected SOUL content during a purge window or by random chance ``` \*\*示例（详细模式）：\*\* ```bash openclaw hooks list --verbose ``` 显示不符合条件的钩子缺失的要求。 \*\*示例（JSON）：\*\* ```bash openclaw hooks list --json ``` 返回结构化 JSON，供程序化使用。 ## 获取钩子信息 ```bash openclaw hooks info ``` 显示特定钩子的详细信息。 \*\*参数：\*\* - ``：钩子名称（例如 `session-memory`） \*\*选项：\*\* - `--json`：以 JSON 格式输出 \*\*示例：\*\* ```bash openclaw hooks info session-memory ``` \*\*输出：\*\* ``` 💾 session-memory ✓ Ready Save session context to memory when /new command is issued Details: Source: openclaw-bundled Path: /path/to/openclaw/hooks/bundled/session-memory/HOOK.md Handler: /path/to/openclaw/hooks/bundled/session-memory/handler.ts Homepage: https://docs.openclaw.ai/hooks#session-memory Events: command:new Requirements: Config: ✓ workspace.dir ``` ## 检查钩子资格 ```bash openclaw hooks check ``` 显示钩子资格状态摘要（有多少已就绪，有多少未就绪）。 \*\*选项：\*\* - `--json`：以 JSON 格式输出 \*\*示例输出：\*\* ``` Hooks Status Total hooks: 4 Ready: 4 Not ready: 0 ``` ## 启用钩子 ```bash openclaw hooks enable ``` 通过将特定钩子添加到配置（`~/.openclaw/config.json`）来启用它。 \*\*注意：\*\* 由插件管理的钩子在 `openclaw hooks list` 中显示 `plugin:`， 无法在此处启用/禁用。请改为启用/禁用该插件。 \*\*参数：\*\* - ``：钩子名称（例如 `session-memory`） \*\*示例：\*\* ```bash openclaw hooks enable session-memory ``` \*\*输出：\*\* ``` ✓ Enabled hook: 💾 session-memory ``` \*\*执行操作：\*\* - 检查钩子是否存在且符合条件 - 在配置中更新 `hooks.internal.entries..enabled = true` - 将配置保存到磁盘 \*\*启用后：\*\* - 重启 Gateway 网关以重新加载钩子（macOS 上重启菜单栏应用，或在开发环境中重启 Gateway 网关进程）。 ## 禁用钩子 ```bash openclaw hooks disable ``` 通过更新配置来禁用特定钩子。 \*\*参数：\*\* - ``：钩子名称（例如 `command-logger`） \*\*示例：\*\* ```bash openclaw hooks disable command-logger ``` \*\*输出：\*\* ``` ⏸ Disabled hook: 📝 command-logger ``` \*\*禁用后：\*\* - 重启 Gateway 网关以重新加载钩子 ## 安装钩子 ```bash openclaw hooks install ``` 从本地文件夹/压缩包或 npm 安装钩子包。 \*\*执行操作：\*\* - 将钩子包复制到 `~/.openclaw/hooks/` - 在 `hooks.internal.entries.\*` 中启用已安装的钩子 - 在 `hooks.internal.installs` 下记录安装信息 \*\*选项：\*\* - `-l, --link`：链接本地目录而不是复制（将其添加到 `hooks.internal.load.extraDirs`） \*\*支持的压缩包格式：\*\* `.zip`、`.tgz`、`.tar.gz`、`.tar` \*\*示例：\*\* ```bash # 本地目录 openclaw hooks install ./my-hook-pack # 本地压缩包 openclaw hooks install ./my-hook-pack.zip # NPM 包 openclaw hooks install @openclaw/my-hook-pack # 链接本地目录而不复制 openclaw hooks install -l ./my-hook-pack ``` ## 更新钩子 ```bash openclaw hooks update openclaw hooks update --all ``` 更新已安装的钩子包（仅限 npm 安装）。 \*\*选项：\*\* - `--all`：更新所有已跟踪的钩子包 - `--dry-run`：显示将要进行的更改，但不写入 ## 内置钩子 ### session-memory 在你执行 `/new` 时将会话上下文保存到记忆中。 \*\*启用：\*\* ```bash openclaw hooks enable session-memory ``` \*\*输出：\*\* `~/.openclaw/workspace/memory/YYYY-MM-DD-slug.md` \*\*参见：\*\* [session-memory 文档](/hooks#session-memory) ### command-logger 将所有命令事件记录到集中的审计文件中。 \*\*启用：\*\* ```bash openclaw hooks enable command-logger ``` \*\*输出：\*\* `~/.openclaw/logs/commands.log` \*\*查看日志：\*\* ```bash # 最近的命令 tail -n 20 ~/.openclaw/logs/commands.log # 格式化输出 cat ~/.openclaw/logs/commands.log | jq . # 按操作过滤 grep '"action":"new"' ~/.openclaw/logs/commands.log | jq . ``` \*\*参见：\*\* [command-logger 文档](/hooks#command-logger) ### soul-evil 在清除窗口期间或随机情况下，将注入的 `SOUL.md` 内容替换为 `SOUL\_EVIL.md`。 \*\*启用：\*\* ```bash openclaw hooks enable soul-evil ``` \*\*参见：\*\* [SOUL Evil 钩子](/hooks/soul-evil) ### boot-md 在 Gateway 网关启动时（渠道启动后）运行 `BOOT.md`。 \*\*事件\*\*：`gateway:startup` \*\*启用\*\*： ```bash openclaw hooks enable boot-md ``` \*\*参见：\*\* [boot-md 文档](/hooks#boot-md) | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/cli/hooks.md | main | opebclaw | [
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# `openclaw system` Gateway 网关的系统级辅助工具：入队系统事件、控制心跳和查看在线状态。 ## 常用命令 ```bash openclaw system event --text "Check for urgent follow-ups" --mode now openclaw system heartbeat enable openclaw system heartbeat last openclaw system presence ``` ## `system event` 在\*\*主\*\*会话上入队系统事件。下一次心跳会将其作为 `System:` 行注入到提示中。使用 `--mode now` 立即触发心跳；`next-heartbeat` 等待下一个计划的心跳时刻。 标志： - `--text `：必填的系统事件文本。 - `--mode `：`now` 或 `next-heartbeat`（默认）。 - `--json`：机器可读输出。 ## `system heartbeat last|enable|disable` 心跳控制： - `last`：显示最后一次心跳事件。 - `enable`：重新开启心跳（如果之前被禁用，使用此命令）。 - `disable`：暂停心跳。 标志： - `--json`：机器可读输出。 ## `system presence` 列出 Gateway 网关已知的当前系统在线状态条目（节点、实例和类似状态行）。 标志： - `--json`：机器可读输出。 ## 注意 - 需要一个运行中的 Gateway 网关，可通过你当前的配置访问（本地或远程）。 - 系统事件是临时的，不会在重启后持久化。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/cli/system.md | main | opebclaw | [
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# Gateway 网关 CLI Gateway 网关是 OpenClaw 的 WebSocket 服务器（渠道、节点、会话、hooks）。 本页中的子命令位于 `openclaw gateway …` 下。 相关文档： - [/gateway/bonjour](/gateway/bonjour) - [/gateway/discovery](/gateway/discovery) - [/gateway/configuration](/gateway/configuration) ## 运行 Gateway 网关 运行本地 Gateway 网关进程： ```bash openclaw gateway ``` 前台运行别名： ```bash openclaw gateway run ``` 注意事项： - 默认情况下，除非在 `~/.openclaw/openclaw.json` 中设置了 `gateway.mode=local`，否则 Gateway 网关将拒绝启动。使用 `--allow-unconfigured` 进行临时/开发运行。 - 在没有认证的情况下绑定到 loopback 之外的地址会被阻止（安全护栏）。 - `SIGUSR1` 在授权时触发进程内重启（启用 `commands.restart` 或使用 gateway 工具/config apply/update）。 - `SIGINT`/`SIGTERM` 处理程序会停止 Gateway 网关进程，但不会恢复任何自定义终端状态。如果你用 TUI 或 raw-mode 输入包装 CLI，请在退出前恢复终端。 ### 选项 - `--port `：WebSocket 端口（默认来自配置/环境变量；通常为 `18789`）。 - `--bind `：监听器绑定模式。 - `--auth `：认证模式覆盖。 - `--token `：令牌覆盖（同时为进程设置 `OPENCLAW\_GATEWAY\_TOKEN`）。 - `--password `：密码覆盖（同时为进程设置 `OPENCLAW\_GATEWAY\_PASSWORD`）。 - `--tailscale `：通过 Tailscale 暴露 Gateway 网关。 - `--tailscale-reset-on-exit`：关闭时重置 Tailscale serve/funnel 配置。 - `--allow-unconfigured`：允许在配置中没有 `gateway.mode=local` 的情况下启动 Gateway 网关。 - `--dev`：如果缺失则创建开发配置 + 工作区（跳过 BOOTSTRAP.md）。 - `--reset`：重置开发配置 + 凭证 + 会话 + 工作区（需要 `--dev`）。 - `--force`：启动前杀死所选端口上的任何现有监听器。 - `--verbose`：详细日志。 - `--claude-cli-logs`：仅在控制台显示 claude-cli 日志（并启用其 stdout/stderr）。 - `--ws-log `：WebSocket 日志样式（默认 `auto`）。 - `--compact`：`--ws-log compact` 的别名。 - `--raw-stream`：将原始模型流事件记录到 jsonl。 - `--raw-stream-path `：原始流 jsonl 路径。 ## 查询运行中的 Gateway 网关 所有查询命令使用 WebSocket RPC。 输出模式： - 默认：人类可读（TTY 中带颜色）。 - `--json`：机器可读 JSON（无样式/进度指示器）。 - `--no-color`（或 `NO\_COLOR=1`）：禁用 ANSI 但保持人类可读布局。 共享选项（在支持的地方）： - `--url `：Gateway 网关 WebSocket URL。 - `--token `：Gateway 网关令牌。 - `--password `：Gateway 网关密码。 - `--timeout `：超时/预算（因命令而异）。 - `--expect-final`：等待"最终"响应（智能体调用）。 ### `gateway health` ```bash openclaw gateway health --url ws://127.0.0.1:18789 ``` ### `gateway status` `gateway status` 显示 Gateway 网关服务（launchd/systemd/schtasks）以及可选的 RPC 探测。 ```bash openclaw gateway status openclaw gateway status --json ``` 选项： - `--url `：覆盖探测 URL。 - `--token `：探测的令牌认证。 - `--password `：探测的密码认证。 - `--timeout `：探测超时（默认 `10000`）。 - `--no-probe`：跳过 RPC 探测（仅服务视图）。 - `--deep`：也扫描系统级服务。 ### `gateway probe` `gateway probe` 是"调试一切"命令。它始终探测： - 你配置的远程 Gateway 网关（如果设置了），以及 - localhost（loopback）\*\*即使配置了远程也会探测\*\*。 如果多个 Gateway 网关可达，它会打印所有。当你使用隔离的配置文件/端口（例如救援机器人）时支持多个 Gateway 网关，但大多数安装仍然运行单个 Gateway 网关。 ```bash openclaw gateway probe openclaw gateway probe --json ``` #### 通过 SSH 远程（Mac 应用对等） macOS 应用的"通过 SSH 远程"模式使用本地端口转发，因此远程 Gateway 网关（可能仅绑定到 loopback）变得可以通过 `ws://127.0.0.1:` 访问。 CLI 等效命令： ```bash openclaw gateway probe --ssh user@gateway-host ``` 选项： - `--ssh `：`user@host` 或 `user@host:port`（端口默认为 `22`）。 - `--ssh-identity `：身份文件。 - `--ssh-auto`：选择第一个发现的 Gateway 网关主机作为 SSH 目标（仅限局域网/WAB）。 配置（可选，用作默认值）： - `gateway.remote.sshTarget` - `gateway.remote.sshIdentity` ### `gateway call ` 低级 RPC 辅助工具。 ```bash openclaw gateway call status openclaw gateway call logs.tail --params '{"sinceMs": 60000}' ``` ## 管理 Gateway 网关服务 ```bash openclaw gateway install openclaw gateway start openclaw gateway stop openclaw gateway restart openclaw gateway uninstall ``` 注意事项： - `gateway install` 支持 `--port`、`--runtime`、`--token`、`--force`、`--json`。 - 生命周期命令接受 `--json` 用于脚本。 ## 发现 Gateway 网关（Bonjour） `gateway discover` 扫描 Gateway 网关信标（`\_openclaw-gw.\_tcp`）。 - 组播 DNS-SD：`local.` - 单播 DNS-SD（广域 Bonjour）：选择一个域（示例：`openclaw.internal.`）并设置分割 DNS + DNS 服务器；参见 [/gateway/bonjour](/gateway/bonjour) 只有启用了 Bonjour 发现（默认）的 Gateway 网关才会广播信标。 广域发现记录包括（TXT）： - `role`（Gateway 网关角色提示） - `transport`（传输提示，例如 `gateway`） - `gatewayPort`（WebSocket 端口，通常为 `18789`） - `sshPort`（SSH 端口；如果不存在则默认为 `22`） - `tailnetDns`（MagicDNS 主机名，如果可用） - `gatewayTls` / `gatewayTlsSha256`（TLS 启用 + 证书指纹） - `cliPath`（远程安装的可选提示） ### `gateway discover` ```bash openclaw gateway discover ``` 选项： - `--timeout `：每个命令的超时（浏览/解析）；默认 `2000`。 - `--json`：机器可读输出（同时禁用样式/进度指示器）。 示例： ```bash openclaw gateway discover --timeout 4000 openclaw gateway discover --json | jq '.beacons[].wsUrl' ``` | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/cli/gateway.md | main | opebclaw | [
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# `openclaw message` 用于发送消息和渠道操作的单一出站命令 （Discord/Google Chat/Slack/Mattermost（插件）/Telegram/WhatsApp/Signal/iMessage/MS Teams）。 ## 用法 ``` openclaw message [flags] ``` 渠道选择： - 如果配置了多个渠道，则必须指定 `--channel`。 - 如果只配置了一个渠道，则该渠道为默认值。 - 可选值：`whatsapp|telegram|discord|googlechat|slack|mattermost|signal|imessage|msteams`（Mattermost 需要插件） 目标格式（`--target`）： - WhatsApp：E.164 或群组 JID - Telegram：聊天 ID 或 `@username` - Discord：`channel:` 或 `user:`（或 `<@id>` 提及；纯数字 ID 被视为频道） - Google Chat：`spaces/` 或 `users/` - Slack：`channel:` 或 `user:`（接受纯频道 ID） - Mattermost（插件）：`channel:`、`user:` 或 `@username`（纯 ID 被视为频道） - Signal：`+E.164`、`group:`、`signal:+E.164`、`signal:group:` 或 `username:`/`u:` - iMessage：句柄、`chat\_id:`、`chat\_guid:` 或 `chat\_identifier:` - MS Teams：会话 ID（`19:...@thread.tacv2`）或 `conversation:` 或 `user:` 名称查找： - 对于支持的提供商（Discord/Slack 等），如 `Help` 或 `#help` 之类的频道名称会通过目录缓存进行解析。 - 缓存未命中时，如果提供商支持，OpenClaw 将尝试实时目录查找。 ## 通用标志 - `--channel ` - `--account ` - `--target `（用于 send/poll/read 等的目标渠道或用户） - `--targets `（可重复；仅限广播） - `--json` - `--dry-run` - `--verbose` ## 操作 ### 核心 - `send` - 渠道：WhatsApp/Telegram/Discord/Google Chat/Slack/Mattermost（插件）/Signal/iMessage/MS Teams - 必需：`--target`，以及 `--message` 或 `--media` - 可选：`--media`、`--reply-to`、`--thread-id`、`--gif-playback` - 仅限 Telegram：`--buttons`（需要 `channels.telegram.capabilities.inlineButtons` 以启用） - 仅限 Telegram：`--thread-id`（论坛主题 ID） - 仅限 Slack：`--thread-id`（线程时间戳；`--reply-to` 使用相同字段） - 仅限 WhatsApp：`--gif-playback` - `poll` - 渠道：WhatsApp/Discord/MS Teams - 必需：`--target`、`--poll-question`、`--poll-option`（可重复） - 可选：`--poll-multi` - 仅限 Discord：`--poll-duration-hours`、`--message` - `react` - 渠道：Discord/Google Chat/Slack/Telegram/WhatsApp/Signal - 必需：`--message-id`、`--target` - 可选：`--emoji`、`--remove`、`--participant`、`--from-me`、`--target-author`、`--target-author-uuid` - 注意：`--remove` 需要 `--emoji`（省略 `--emoji` 可清除自己的表情回应（如果支持）；参见 /tools/reactions） - 仅限 WhatsApp：`--participant`、`--from-me` - Signal 群组表情回应：需要 `--target-author` 或 `--target-author-uuid` - `reactions` - 渠道：Discord/Google Chat/Slack - 必需：`--message-id`、`--target` - 可选：`--limit` - `read` - 渠道：Discord/Slack - 必需：`--target` - 可选：`--limit`、`--before`、`--after` - 仅限 Discord：`--around` - `edit` - 渠道：Discord/Slack - 必需：`--message-id`、`--message`、`--target` - `delete` - 渠道：Discord/Slack/Telegram - 必需：`--message-id`、`--target` - `pin` / `unpin` - 渠道：Discord/Slack - 必需：`--message-id`、`--target` - `pins`（列表） - 渠道：Discord/Slack - 必需：`--target` - `permissions` - 渠道：Discord - 必需：`--target` - `search` - 渠道：Discord - 必需：`--guild-id`、`--query` - 可选：`--channel-id`、`--channel-ids`（可重复）、`--author-id`、`--author-ids`（可重复）、`--limit` ### 线程 - `thread create` - 渠道：Discord - 必需：`--thread-name`、`--target`（频道 ID） - 可选：`--message-id`、`--auto-archive-min` - `thread list` - 渠道：Discord - 必需：`--guild-id` - 可选：`--channel-id`、`--include-archived`、`--before`、`--limit` - `thread reply` - 渠道：Discord - 必需：`--target`（线程 ID）、`--message` - 可选：`--media`、`--reply-to` ### 表情符号 - `emoji list` - Discord：`--guild-id` - Slack：无需额外标志 - `emoji upload` - 渠道：Discord - 必需：`--guild-id`、`--emoji-name`、`--media` - 可选：`--role-ids`（可重复） ### 贴纸 - `sticker send` - 渠道：Discord - 必需：`--target`、`--sticker-id`（可重复） - 可选：`--message` - `sticker upload` - 渠道：Discord - 必需：`--guild-id`、`--sticker-name`、`--sticker-desc`、`--sticker-tags`、`--media` ### 角色 / 频道 / 成员 / 语音 - `role info`（Discord）：`--guild-id` - `role add` / `role remove`（Discord）：`--guild-id`、`--user-id`、`--role-id` - `channel info`（Discord）：`--target` - `channel list`（Discord）：`--guild-id` - `member info`（Discord/Slack）：`--user-id`（Discord 还需要 `--guild-id`） - `voice status`（Discord）：`--guild-id`、`--user-id` ### 事件 - `event list`（Discord）：`--guild-id` - `event create`（Discord）：`--guild-id`、`--event-name`、`--start-time` - 可选：`--end-time`、`--desc`、`--channel-id`、`--location`、`--event-type` ### 管理（Discord） - `timeout`：`--guild-id`、`--user-id`（可选 `--duration-min` 或 `--until`；两者都省略则清除超时） - `kick`：`--guild-id`、`--user-id`（+ `--reason`） - `ban`：`--guild-id`、`--user-id`（+ `--delete-days`、`--reason`） - `timeout` 也支持 `--reason` ### 广播 - `broadcast` - 渠道：任何已配置的渠道；使用 `--channel all` 可针对所有提供商 - 必需：`--targets`（可重复） - 可选：`--message`、`--media`、`--dry-run` ## 示例 发送 Discord 回复： ``` openclaw message send --channel discord \ --target channel:123 --message "hi" --reply-to 456 ``` 创建 Discord 投票： ``` openclaw message poll --channel discord \ --target channel:123 \ --poll-question "Snack?" \ --poll-option Pizza --poll-option Sushi \ --poll-multi --poll-duration-hours 48 ``` 发送 Teams 主动消息： ``` openclaw message send --channel msteams \ --target conversation:19:abc@thread.tacv2 --message "hi" ``` 创建 Teams 投票： ``` openclaw message poll --channel msteams \ --target conversation:19:abc@thread.tacv2 \ --poll-question "Lunch?" \ --poll-option Pizza --poll-option Sushi ``` 在 Slack 中添加表情回应： ``` openclaw message react --channel slack \ --target C123 --message-id 456 --emoji "✅" ``` 在 Signal 群组中添加表情回应： ``` openclaw message react --channel signal \ --target signal:group:abc123 --message-id 1737630212345 \ --emoji "✅" --target-author-uuid 123e4567-e89b-12d3-a456-426614174000 ``` 发送 Telegram 内联按钮： ``` openclaw message send --channel telegram --target @mychat --message "Choose:" \ --buttons '[ [{"text":"Yes","callback\_data":"cmd:yes"}], [{"text":"No","callback\_data":"cmd:no"}] ]' ``` | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/cli/message.md | main | opebclaw | [
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# `openclaw agents` 管理隔离的智能体（工作区 + 认证 + 路由）。 相关内容： - 多智能体路由：[多智能体路由](/concepts/multi-agent) - 智能体工作区：[智能体工作区](/concepts/agent-workspace) ## 示例 ```bash openclaw agents list openclaw agents add work --workspace ~/.openclaw/workspace-work openclaw agents set-identity --workspace ~/.openclaw/workspace --from-identity openclaw agents set-identity --agent main --avatar avatars/openclaw.png openclaw agents delete work ``` ## 身份文件 每个智能体工作区可以在工作区根目录包含一个 `IDENTITY.md`： - 示例路径：`~/.openclaw/workspace/IDENTITY.md` - `set-identity --from-identity` 从工作区根目录读取（或从显式指定的 `--identity-file` 读取） 头像路径相对于工作区根目录解析。 ## 设置身份 `set-identity` 将字段写入 `agents.list[].identity`： - `name` - `theme` - `emoji` - `avatar`（工作区相对路径、http(s) URL 或 data URI） 从 `IDENTITY.md` 加载： ```bash openclaw agents set-identity --workspace ~/.openclaw/workspace --from-identity ``` 显式覆盖字段： ```bash openclaw agents set-identity --agent main --name "OpenClaw" --emoji "🦞" --avatar avatars/openclaw.png ``` 配置示例： ```json5 { agents: { list: [ { id: "main", identity: { name: "OpenClaw", theme: "space lobster", emoji: "🦞", avatar: "avatars/openclaw.png", }, }, ], }, } ``` | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/cli/agents.md | main | opebclaw | [
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# SOUL Evil 钩子 SOUL Evil 钩子在清除窗口期间或随机概率下，将\*\*注入的\*\* `SOUL.md` 内容替换为 `SOUL\_EVIL.md`。它\*\*不会\*\*修改磁盘上的文件。 ## 工作原理 当 `agent:bootstrap` 运行时，该钩子可以在系统提示词组装之前，在内存中替换 `SOUL.md` 的内容。如果 `SOUL\_EVIL.md` 缺失或为空，OpenClaw 会记录警告并保留正常的 `SOUL.md`。 子智能体运行\*\*不会\*\*在其引导文件中包含 `SOUL.md`，因此此钩子对子智能体没有影响。 ## 启用 ```bash openclaw hooks enable soul-evil ``` 然后设置配置： ```json { "hooks": { "internal": { "enabled": true, "entries": { "soul-evil": { "enabled": true, "file": "SOUL\_EVIL.md", "chance": 0.1, "purge": { "at": "21:00", "duration": "15m" } } } } } } ``` 在智能体工作区根目录（`SOUL.md` 旁边）创建 `SOUL\_EVIL.md`。 ## 选项 - `file`（字符串）：替代的 SOUL 文件名（默认：`SOUL\_EVIL.md`） - `chance`（数字 0–1）：每次运行使用 `SOUL\_EVIL.md` 的随机概率 - `purge.at`（HH:mm）：每日清除开始时间（24 小时制） - `purge.duration`（时长）：窗口长度（例如 `30s`、`10m`、`1h`） \*\*优先级：\*\* 清除窗口优先于随机概率。 \*\*时区：\*\* 设置了 `agents.defaults.userTimezone` 时使用该时区；否则使用主机时区。 ## 注意事项 - 不会在磁盘上写入或修改任何文件。 - 如果 `SOUL.md` 不在引导列表中，该钩子不执行任何操作。 ## 另请参阅 - [钩子](/hooks) | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/hooks/soul-evil.md | main | opebclaw | [
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# 智能体运行时 🤖 OpenClaw 运行一个源自 \*\*pi-mono\*\* 的嵌入式智能体运行时。 ## 工作区（必需） OpenClaw 使用单一智能体工作区目录（`agents.defaults.workspace`）作为智能体\*\*唯一\*\*的工作目录（`cwd`），用于工具和上下文。 建议：使用 `openclaw setup` 在缺失时创建 `~/.openclaw/openclaw.json` 并初始化工作区文件。 完整工作区布局 + 备份指南：[智能体工作区](/concepts/agent-workspace) 如果启用了 `agents.defaults.sandbox`，非主会话可以在 `agents.defaults.sandbox.workspaceRoot` 下使用按会话隔离的工作区覆盖此设置（参见 [Gateway 网关配置](/gateway/configuration)）。 ## 引导文件（注入） 在 `agents.defaults.workspace` 内，OpenClaw 期望以下用户可编辑的文件： - `AGENTS.md` — 操作指令 + "记忆" - `SOUL.md` — 人设、边界、语气 - `TOOLS.md` — 用户维护的工具说明（例如 `imsg`、`sag`、约定） - `BOOTSTRAP.md` — 一次性首次运行仪式（完成后删除） - `IDENTITY.md` — 智能体名称/风格/表情 - `USER.md` — 用户档案 + 偏好称呼 在新会话的第一轮，OpenClaw 将这些文件的内容直接注入智能体上下文。 空文件会被跳过。大文件会被修剪和截断并添加标记，以保持提示词精简（阅读文件获取完整内容）。 如果文件缺失，OpenClaw 会注入一行"文件缺失"标记（`openclaw setup` 将创建安全的默认模板）。 `BOOTSTRAP.md` 仅在\*\*全新工作区\*\*（没有其他引导文件存在）时创建。如果你在完成仪式后删除它，后续重启不应重新创建。 要完全禁用引导文件创建（用于预置工作区），请设置： ```json5 { agent: { skipBootstrap: true } } ``` ## 内置工具 核心工具（read/exec/edit/write 及相关系统工具）始终可用，受工具策略约束。`apply\_patch` 是可选的，由 `tools.exec.applyPatch` 控制。`TOOLS.md` \*\*不\*\*控制哪些工具存在；它是关于\*你\*希望如何使用它们的指导。 ## Skills OpenClaw 从三个位置加载 Skills（名称冲突时工作区优先）： - 内置（随安装包提供） - 托管/本地：`~/.openclaw/skills` - 工作区：`/skills` Skills 可通过配置/环境变量控制（参见 [Gateway 网关配置](/gateway/configuration) 中的 `skills`）。 ## pi-mono 集成 OpenClaw 复用 pi-mono 代码库的部分内容（模型/工具），但\*\*会话管理、设备发现和工具连接由 OpenClaw 负责\*\*。 - 无 pi-coding 智能体运行时。 - 不读取 `~/.pi/agent` 或 `/.pi` 设置。 ## 会话 会话记录以 JSONL 格式存储在： - `~/.openclaw/agents//sessions/.jsonl` 会话 ID 是稳定的，由 OpenClaw 选择。 \*\*不\*\*读取旧版 Pi/Tau 会话文件夹。 ## 流式传输中的引导 当队列模式为 `steer` 时，入站消息会注入当前运行。 队列在\*\*每次工具调用后\*\*检查；如果存在排队消息，当前助手消息的剩余工具调用将被跳过（工具结果显示错误"Skipped due to queued user message."），然后在下一个助手响应前注入排队的用户消息。 当队列模式为 `followup` 或 `collect` 时，入站消息会保留到当前轮次结束，然后使用排队的载荷开始新的智能体轮次。参见 [队列](/concepts/queue) 了解模式 + 防抖/上限行为。 分块流式传输在助手块完成后立即发送；默认为\*\*关闭\*\*（`agents.defaults.blockStreamingDefault: "off"`）。 通过 `agents.defaults.blockStreamingBreak` 调整边界（`text\_end` 与 `message\_end`；默认为 text\_end）。 使用 `agents.defaults.blockStreamingChunk` 控制软块分块（默认 800–1200 字符；优先段落分隔，其次换行；最后是句子）。 使用 `agents.defaults.blockStreamingCoalesce` 合并流式块以减少单行刷屏（发送前基于空闲的合并）。非 Telegram 渠道需要显式设置 `\*.blockStreaming: true` 以启用分块回复。 工具启动时发出详细工具摘要（无防抖）；Control UI 在可用时通过智能体事件流式传输工具输出。 更多详情：[流式传输 + 分块](/concepts/streaming)。 ## 模型引用 配置中的模型引用（例如 `agents.defaults.model` 和 `agents.defaults.models`）通过在\*\*第一个\*\* `/` 处分割来解析。 - 配置模型时使用 `provider/model`。 - 如果模型 ID 本身包含 `/`（OpenRouter 风格），请包含提供商前缀（例如：`openrouter/moonshotai/kimi-k2`）。 - 如果省略提供商，OpenClaw 将输入视为别名或\*\*默认提供商\*\*的模型（仅在模型 ID 中没有 `/` 时有效）。 ## 配置（最小） 至少需要设置： - `agents.defaults.workspace` - `channels.whatsapp.allowFrom`（强烈建议） --- \_下一篇：[群聊](/concepts/group-messages)\_ 🦞 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/agent.md | main | opebclaw | [
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# 使用量跟踪 ## 功能简介 - 直接从提供商的使用量端点拉取使用量/配额数据。 - 不提供估算费用；仅展示提供商报告的时间窗口数据。 ## 展示位置 - 聊天中的 `/status`：包含会话 token 数和估算费用的表情符号丰富的状态卡片（仅限 API 密钥）。当可用时，会显示\*\*当前模型提供商\*\*的使用量。 - 聊天中的 `/usage off|tokens|full`：每次响应的使用量页脚（OAuth 仅显示 token 数）。 - 聊天中的 `/usage cost`：从 OpenClaw 会话日志汇总的本地费用摘要。 - CLI：`openclaw status --usage` 打印完整的按提供商分类的详细信息。 - CLI：`openclaw channels list` 在提供商配置旁打印相同的使用量快照（使用 `--no-usage` 跳过）。 - macOS 菜单栏：上下文菜单下的"使用量"部分（仅在可用时显示）。 ## 提供商及凭据 - \*\*Anthropic (Claude)\*\*：认证配置中的 OAuth 令牌。 - \*\*GitHub Copilot\*\*：认证配置中的 OAuth 令牌。 - \*\*Gemini CLI\*\*：认证配置中的 OAuth 令牌。 - \*\*Antigravity\*\*：认证配置中的 OAuth 令牌。 - \*\*OpenAI Codex\*\*：认证配置中的 OAuth 令牌（存在时使用 accountId）。 - \*\*MiniMax\*\*：API 密钥（编程计划密钥；`MINIMAX\_CODE\_PLAN\_KEY` 或 `MINIMAX\_API\_KEY`）；使用 5 小时编程计划时间窗口。 - \*\*z.ai\*\*：通过环境变量/配置/认证存储提供的 API 密钥。 如果没有匹配的 OAuth/API 凭据，使用量信息将被隐藏。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/usage-tracking.md | main | opebclaw | [
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# 群组消息（WhatsApp 网页渠道） 目标：让 Clawd 留在 WhatsApp 群组中，仅在被提及时唤醒，并将该对话线程与个人私信会话分开。 注意：`agents.list[].groupChat.mentionPatterns` 现在也被 Telegram/Discord/Slack/iMessage 使用；本文档重点介绍 WhatsApp 特定的行为。对于多智能体设置，为每个智能体设置 `agents.list[].groupChat.mentionPatterns`（或使用 `messages.groupChat.mentionPatterns` 作为全局回退）。 ## 已实现的功能（2025-12-03） - 激活模式：`mention`（默认）或 `always`。`mention` 需要被提及（通过 `mentionedJids` 的真实 WhatsApp @提及、正则表达式模式，或文本中任意位置的机器人 E.164 号码）。`always` 会在每条消息时唤醒智能体，但它应该只在能提供有意义价值时才回复；否则返回静默令牌 `NO\_REPLY`。默认值可在配置中设置（`channels.whatsapp.groups`），并可通过 `/activation` 为每个群组单独覆盖。当设置了 `channels.whatsapp.groups` 时，它同时充当群组允许列表（包含 `"\*"` 以允许所有群组）。 - 群组策略：`channels.whatsapp.groupPolicy` 控制是否接受群组消息（`open|disabled|allowlist`）。`allowlist` 使用 `channels.whatsapp.groupAllowFrom`（回退：显式的 `channels.whatsapp.allowFrom`）。默认为 `allowlist`（在你添加发送者之前被阻止）。 - 独立群组会话：会话键格式为 `agent::whatsapp:group:`，因此 `/verbose on` 或 `/think high`（作为独立消息发送）等命令仅作用于该群组；个人私信状态不受影响。群组线程会跳过心跳。 - 上下文注入：\*\*仅待处理\*\*的群组消息（默认 50 条），即\*未\*触发运行的消息，会以 `[Chat messages since your last reply - for context]` 为前缀注入，触发行在 `[Current message - respond to this]` 下。已在会话中的消息不会重复注入。 - 发送者显示：每个群组批次现在以 `[from: Sender Name (+E164)]` 结尾，让 Pi 知道是谁在说话。 - 阅后即焚/一次性查看：我们在提取文本/提及之前会先解包这些消息，因此其中的提及仍会触发。 - 群组系统提示：在群组会话的第一轮（以及每当 `/activation` 更改模式时），我们会向系统提示注入一段简短说明，如 `You are replying inside the WhatsApp group "". Group members: Alice (+44...), Bob (+43...), … Activation: trigger-only … Address the specific sender noted in the message context.` 如果元数据不可用，我们仍会告知智能体这是一个群聊。 ## 配置示例（WhatsApp） 在 `~/.openclaw/openclaw.json` 中添加 `groupChat` 块，以便在 WhatsApp 剥离文本正文中的可视 `@` 时，显示名称提及仍能正常工作： ```json5 { channels: { whatsapp: { groups: { "\*": { requireMention: true }, }, }, }, agents: { list: [ { id: "main", groupChat: { historyLimit: 50, mentionPatterns: ["@?openclaw", "\\+?15555550123"], }, }, ], }, } ``` 注意： - 正则表达式不区分大小写；它们涵盖了像 `@openclaw` 这样的显示名称提及，以及带或不带 `+`/空格的原始号码。 - 当有人点击联系人时，WhatsApp 仍会通过 `mentionedJids` 发送规范的提及，因此号码回退很少需要，但作为安全网很有用。 ### 激活命令（仅所有者） 使用群聊命令： - `/activation mention` - `/activation always` 只有所有者号码（来自 `channels.whatsapp.allowFrom`，或未设置时使用机器人自己的 E.164）可以更改此设置。在群组中发送 `/status` 作为独立消息以查看当前激活模式。 ## 使用方法 1. 将你的 WhatsApp 账号（运行 OpenClaw 的账号）添加到群组。 2. 说 `@openclaw …`（或包含号码）。只有允许列表中的发送者才能触发，除非你设置 `groupPolicy: "open"`。 3. 智能体提示将包含最近的群组上下文以及尾部的 `[from: …]` 标记，以便它能够回应正确的人。 4. 会话级指令（`/verbose on`、`/think high`、`/new` 或 `/reset`、`/compact`）仅适用于该群组的会话；将它们作为独立消息发送以使其生效。你的个人私信会话保持独立。 ## 测试/验证 - 手动冒烟测试： - 在群组中发送 `@openclaw` 提及，确认收到引用发送者名称的回复。 - 发送第二次提及，验证历史记录块被包含，然后在下一轮清除。 - 检查 Gateway 网关日志（使用 `--verbose` 运行）以查看 `inbound web message` 条目，显示 `from: ` 和 `[from: …]` 后缀。 ## 已知注意事项 - 群组有意跳过心跳以避免嘈杂的广播。 - 回声抑制使用组合的批次字符串；如果你发送两次相同的文本但没有提及，只有第一次会得到响应。 - 会话存储条目将在会话存储中显示为 `agent::whatsapp:group:`（默认为 `~/.openclaw/agents//sessions/sessions.json`）；缺失条目只是意味着该群组尚未触发运行。 - 群组中的输入指示器遵循 `agents.defaults.typingMode`（默认：未被提及时为 `message`）。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/group-messages.md | main | opebclaw | [
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# 上下文窗口与压缩 每个模型都有一个\*\*上下文窗口\*\*（可见的最大 token 数）。长时间运行的对话会累积消息和工具结果；一旦窗口空间紧张，OpenClaw 会\*\*压缩\*\*较早的历史记录以保持在限制范围内。 ## 什么是压缩 压缩会将\*\*较早的对话总结\*\*为一条紧凑的摘要条目，并保持近期消息不变。摘要存储在会话历史中，因此后续请求使用的是： - 压缩摘要 - 压缩点之后的近期消息 压缩会\*\*持久化\*\*到会话的 JSONL 历史记录中。 ## 配置 有关 `agents.defaults.compaction` 设置，请参阅[压缩配置与模式](/concepts/compaction)。 ## 自动压缩（默认开启） 当会话接近或超过模型的上下文窗口时，OpenClaw 会触发自动压缩，并可能使用压缩后的上下文重试原始请求。 你会看到： - 详细模式下显示 `🧹 Auto-compaction complete` - `/status` 显示 `🧹 Compactions: ` 在压缩之前，OpenClaw 可以运行一次\*\*静默记忆刷写\*\*轮次，将持久化笔记写入磁盘。详情及配置请参阅[记忆](/concepts/memory)。 ## 手动压缩 使用 `/compact`（可选附带指令）强制执行一次压缩： ``` /compact Focus on decisions and open questions ``` ## 上下文窗口来源 上下文窗口因模型而异。OpenClaw 使用已配置提供商目录中的模型定义来确定限制。 ## 压缩与修剪 - \*\*压缩\*\*：总结并\*\*持久化\*\*到 JSONL 中。 - \*\*会话修剪\*\*：仅裁剪旧的\*\*工具结果\*\*，\*\*在内存中\*\*按请求进行。 有关修剪的详情，请参阅 [/concepts/session-pruning](/concepts/session-pruning)。 ## 提示 - 当会话感觉过时或上下文臃肿时，使用 `/compact`。 - 大型工具输出已被截断；修剪可以进一步减少工具结果的堆积。 - 如果你需要全新开始，`/new` 或 `/reset` 会启动一个新的会话 ID。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/compaction.md | main | opebclaw | [
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# Gateway 网关架构 最后更新：2026-01-22 ## 概述 - 单个长期运行的 \*\*Gateway 网关\*\*拥有所有消息平台（通过 Baileys 的 WhatsApp、通过 grammY 的 Telegram、Slack、Discord、Signal、iMessage、WebChat）。 - 控制平面客户端（macOS 应用、CLI、Web 界面、自动化）通过配置的绑定主机（默认 `127.0.0.1:18789`）上的 \*\*WebSocket\*\* 连接到 Gateway 网关。 - \*\*节点\*\*（macOS/iOS/Android/无头设备）也通过 \*\*WebSocket\*\* 连接，但声明 `role: node` 并带有明确的能力/命令。 - 每台主机一个 Gateway 网关；它是唯一打开 WhatsApp 会话的位置。 - \*\*canvas 主机\*\*（默认 `18793`）提供智能体可编辑的 HTML 和 A2UI。 ## 组件和流程 ### Gateway 网关（守护进程） - 维护提供商连接。 - 暴露类型化的 WS API（请求、响应、服务器推送事件）。 - 根据 JSON Schema 验证入站帧。 - 发出事件如 `agent`、`chat`、`presence`、`health`、`heartbeat`、`cron`。 ### 客户端（mac 应用 / CLI / web 管理） - 每个客户端一个 WS 连接。 - 发送请求（`health`、`status`、`send`、`agent`、`system-presence`）。 - 订阅事件（`tick`、`agent`、`presence`、`shutdown`）。 ### 节点（macOS / iOS / Android / 无头设备） - 以 `role: node` 连接到\*\*同一个 WS 服务器\*\*。 - 在 `connect` 中提供设备身份；配对是\*\*基于设备\*\*的（角色为 `node`），批准存储在设备配对存储中。 - 暴露命令如 `canvas.\*`、`camera.\*`、`screen.record`、`location.get`。 协议详情： - [Gateway 网关协议](/gateway/protocol) ### WebChat - 静态界面，使用 Gateway 网关 WS API 获取聊天历史和发送消息。 - 在远程设置中，通过与其他客户端相同的 SSH/Tailscale 隧道连接。 ## 连接生命周期（单个客户端） ``` Client Gateway | | |---- req:connect -------->| |<------ res (ok) ---------| (or res error + close) | (payload=hello-ok carries snapshot: presence + health) | | |<------ event:presence ---| |<------ event:tick -------| | | |------- req:agent ------->| |<------ res:agent --------| (ack: {runId,status:"accepted"}) |<------ event:agent ------| (streaming) |<------ res:agent --------| (final: {runId,status,summary}) | | ``` ## 线路协议（摘要） - 传输：WebSocket，带 JSON 载荷的文本帧。 - 第一帧\*\*必须\*\*是 `connect`。 - 握手后： - 请求：`{type:"req", id, method, params}` → `{type:"res", id, ok, payload|error}` - 事件：`{type:"event", event, payload, seq?, stateVersion?}` - 如果设置了 `OPENCLAW\_GATEWAY\_TOKEN`（或 `--token`），`connect.params.auth.token` 必须匹配，否则套接字关闭。 - 有副作用的方法（`send`、`agent`）需要幂等键以安全重试；服务器保持短期去重缓存。 - 节点必须在 `connect` 中包含 `role: "node"` 以及能力/命令/权限。 ## 配对 + 本地信任 - 所有 WS 客户端（操作员 + 节点）在 `connect` 时包含\*\*设备身份\*\*。 - 新设备 ID 需要配对批准；Gateway 网关为后续连接颁发\*\*设备令牌\*\*。 - \*\*本地\*\*连接（loopback 或 Gateway 网关主机自身的 tailnet 地址）可以自动批准以保持同主机用户体验流畅。 - \*\*非本地\*\*连接必须签名 `connect.challenge` nonce 并需要明确批准。 - Gateway 网关认证（`gateway.auth.\*`）仍适用于\*\*所有\*\*连接，无论本地还是远程。 详情：[Gateway 网关协议](/gateway/protocol)、[配对](/start/pairing)、[安全](/gateway/security)。 ## 协议类型和代码生成 - TypeBox 模式定义协议。 - 从这些模式生成 JSON Schema。 - 从 JSON Schema 生成 Swift 模型。 ## 远程访问 - 推荐：Tailscale 或 VPN。 - 替代方案：SSH 隧道 ```bash ssh -N -L 18789:127.0.0.1:18789 user@host ``` - 相同的握手 + 认证令牌适用于隧道连接。 - 远程设置中可以为 WS 启用 TLS + 可选的证书固定。 ## 操作快照 - 启动：`openclaw gateway`（前台，日志输出到 stdout）。 - 健康检查：通过 WS 的 `health`（也包含在 `hello-ok` 中）。 - 监控：使用 launchd/systemd 自动重启。 ## 不变量 - 每台主机恰好一个 Gateway 网关控制单个 Baileys 会话。 - 握手是强制的；任何非 JSON 或非 connect 的第一帧都会导致硬关闭。 - 事件不会重放；客户端必须在出现间隙时刷新。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/architecture.md | main | opebclaw | [
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# 消息 本页汇总了 OpenClaw 如何处理入站消息、会话、队列、流式传输和推理可见性。 ## 消息流程（高层概述） ``` 入站消息 -> 路由/绑定 -> 会话密钥 -> 队列（如果有运行中的任务） -> 智能体运行（流式传输 + 工具） -> 出站回复（渠道限制 + 分块） ``` 关键配置项在配置中： - `messages.\*` 用于前缀、队列和群组行为。 - `agents.defaults.\*` 用于分块流式传输和分块默认值。 - 渠道覆盖（`channels.whatsapp.\*`、`channels.telegram.\*` 等）用于上限和流式传输开关。 完整 schema 参见[配置](/gateway/configuration)。 ## 入站去重 渠道可能在重新连接后重复投递同一消息。OpenClaw 保持一个短期缓存，以渠道/账户/对端/会话/消息 ID 为键，因此重复投递不会触发另一次智能体运行。 ## 入站防抖 来自\*\*同一发送者\*\*的快速连续消息可以通过 `messages.inbound` 批量合并为单个智能体轮次。防抖按渠道 + 会话为范围，并使用最近的消息进行回复线程/ID 处理。 配置（全局默认 + 单渠道覆盖）： ```json5 { messages: { inbound: { debounceMs: 2000, byChannel: { whatsapp: 5000, slack: 1500, discord: 1500, }, }, }, } ``` 注意事项： - 防抖仅适用于\*\*纯文本\*\*消息；媒体/附件会立即刷新。 - 控制命令会绕过防抖，保持独立。 ## 会话和设备 会话由 Gateway 网关拥有，而非客户端。 - 直接聊天合并到智能体主会话密钥。 - 群组/渠道获得各自的会话密钥。 - 会话存储和记录保存在 Gateway 网关主机上。 多个设备/渠道可以映射到同一会话，但历史记录不会完全同步回每个客户端。建议：对长对话使用一个主设备，以避免上下文分歧。控制 UI 和 TUI 始终显示 Gateway 网关支持的会话记录，因此它们是事实来源。 详情：[会话管理](/concepts/session)。 ## 入站正文和历史上下文 OpenClaw 将\*\*提示正文\*\*与\*\*命令正文\*\*分开： - `Body`：发送给智能体的提示文本。这可能包括渠道信封和可选的历史包装器。 - `CommandBody`：用于指令/命令解析的原始用户文本。 - `RawBody`：`CommandBody` 的旧别名（为兼容性保留）。 当渠道提供历史记录时，使用共享包装器： - `[Chat messages since your last reply - for context]` - `[Current message - respond to this]` 对于\*\*非直接聊天\*\*（群组/渠道/房间），\*\*当前消息正文\*\*会加上发送者标签前缀（与历史条目使用的样式相同）。这使智能体提示中的实时消息和队列/历史消息保持一致。 历史缓冲区是\*\*仅待处理的\*\*：它们包含\*未\*触发运行的群组消息（例如，提及门控的消息），并\*\*排除\*\*已在会话记录中的消息。 指令剥离仅适用于\*\*当前消息\*\*部分，因此历史记录保持完整。包装历史记录的渠道应将 `CommandBody`（或 `RawBody`）设置为原始消息文本，并将 `Body` 保留为组合提示。历史缓冲区可通过 `messages.groupChat.historyLimit`（全局默认）和单渠道覆盖（如 `channels.slack.historyLimit` 或 `channels.telegram.accounts..historyLimit`）进行配置（设置 `0` 表示禁用）。 ## 队列和后续消息 如果运行已在进行中，入站消息可以排队、导入当前运行，或收集用于后续轮次。 - 通过 `messages.queue`（和 `messages.queue.byChannel`）配置。 - 模式：`interrupt`、`steer`、`followup`、`collect`，以及积压变体。 详情：[队列](/concepts/queue)。 ## 流式传输、分块和批处理 分块流式传输在模型生成文本块时发送部分回复。分块遵循渠道文本限制，避免拆分围栏代码。 关键设置： - `agents.defaults.blockStreamingDefault`（`on|off`，默认 off） - `agents.defaults.blockStreamingBreak`（`text\_end|message\_end`） - `agents.defaults.blockStreamingChunk`（`minChars|maxChars|breakPreference`） - `agents.defaults.blockStreamingCoalesce`（基于空闲的批处理） - `agents.defaults.humanDelay`（块回复之间的拟人化暂停） - 渠道覆盖：`\*.blockStreaming` 和 `\*.blockStreamingCoalesce`（非 Telegram 渠道需要显式设置 `\*.blockStreaming: true`） 详情：[流式传输 + 分块](/concepts/streaming)。 ## 推理可见性和 token OpenClaw 可以显示或隐藏模型推理： - `/reasoning on|off|stream` 控制可见性。 - 当模型产生推理内容时，它仍计入 token 使用量。 - Telegram 支持将推理流式传输到草稿气泡中。 详情：[思考 + 推理指令](/tools/thinking)和 [Token 使用](/token-use)。 ## 前缀、线程和回复 出站消息格式在 `messages` 中集中配置： - `messages.responsePrefix`（出站前缀）和 `channels.whatsapp.messagePrefix`（WhatsApp 入站前缀） - 通过 `replyToMode` 和单渠道默认值进行回复线程 详情：[配置](/gateway/configuration#messages)和渠道文档。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/messages.md | main | opebclaw | [
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# 渠道与路由 OpenClaw 将回复\*\*路由回消息来源的渠道\*\*。模型不会选择渠道；路由是确定性的，由主机配置控制。 ## 关键术语 - \*\*渠道\*\*：`whatsapp`、`telegram`、`discord`、`slack`、`signal`、`imessage`、`webchat`。 - \*\*AccountId\*\*：每个渠道的账户实例（在支持的情况下）。 - \*\*AgentId\*\*：隔离的工作区 + 会话存储（"大脑"）。 - \*\*SessionKey\*\*：用于存储上下文和控制并发的桶键。 ## 会话键格式（示例） 私信会折叠到智能体的\*\*主\*\*会话： - `agent::`（默认：`agent:main:main`） 群组和渠道按渠道隔离： - 群组：`agent:::group:` - 渠道/房间：`agent:::channel:` 线程： - Slack/Discord 线程会在基础键后追加 `:thread:`。 - Telegram 论坛主题在群组键中嵌入 `:topic:`。 示例： - `agent:main:telegram:group:-1001234567890:topic:42` - `agent:main:discord:channel:123456:thread:987654` ## 路由规则（如何选择智能体） 路由为每条入站消息选择\*\*一个智能体\*\*： 1. \*\*精确对端匹配\*\*（`bindings` 中的 `peer.kind` + `peer.id`）。 2. \*\*Guild 匹配\*\*（Discord）通过 `guildId`。 3. \*\*Team 匹配\*\*（Slack）通过 `teamId`。 4. \*\*账户匹配\*\*（渠道上的 `accountId`）。 5. \*\*渠道匹配\*\*（该渠道上的任意账户）。 6. \*\*默认智能体\*\*（`agents.list[].default`，否则取列表第一项，兜底为 `main`）。 匹配到的智能体决定使用哪个工作区和会话存储。 ## 广播组（运行多个智能体） 广播组允许你为同一对端运行\*\*多个智能体\*\*，\*\*在 OpenClaw 正常回复时\*\*触发（例如：在 WhatsApp 群组中，经过提及/激活门控之后）。 配置： ```json5 { broadcast: { strategy: "parallel", "120363403215116621@g.us": ["alfred", "baerbel"], "+15555550123": ["support", "logger"], }, } ``` 参见：[广播组](/broadcast-groups)。 ## 配置概览 - `agents.list`：命名的智能体定义（工作区、模型等）。 - `bindings`：将入站渠道/账户/对端映射到智能体。 示例： ```json5 { agents: { list: [{ id: "support", name: "Support", workspace: "~/.openclaw/workspace-support" }], }, bindings: [ { match: { channel: "slack", teamId: "T123" }, agentId: "support" }, { match: { channel: "telegram", peer: { kind: "group", id: "-100123" } }, agentId: "support" }, ], } ``` ## 会话存储 会话存储位于状态目录下（默认 `~/.openclaw`）： - `~/.openclaw/agents//sessions/sessions.json` - JSONL 记录文件与存储位于同一目录 你可以通过 `session.store` 和 `{agentId}` 模板来覆盖存储路径。 ## WebChat 行为 WebChat 连接到\*\*所选智能体\*\*，并默认使用该智能体的主会话。因此，WebChat 让你可以在一个地方查看该智能体的跨渠道上下文。 ## 回复上下文 入站回复包含： - `ReplyToId`、`ReplyToBody` 和 `ReplyToSender`（在可用时）。 - 引用的上下文会以 `[Replying to ...]` 块的形式追加到 `Body` 中。 这在所有渠道中保持一致。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/channel-routing.md | main | opebclaw | [
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# 重试策略 ## 目标 - 按 HTTP 请求重试，而非按多步骤流程重试。 - 通过仅重试当前步骤来保持顺序。 - 避免重复执行非幂等操作。 ## 默认值 - 尝试次数：3 - 最大延迟上限：30000 毫秒 - 抖动：0.1（10%） - 提供商默认值： - Telegram 最小延迟：400 毫秒 - Discord 最小延迟：500 毫秒 ## 行为 ### Discord - 仅在速率限制错误（HTTP 429）时重试。 - 可用时使用 Discord `retry\_after`，否则使用指数退避。 ### Telegram - 在瞬态错误时重试（429、超时、连接/重置/关闭、暂时不可用）。 - 可用时使用 `retry\_after`，否则使用指数退避。 - Markdown 解析错误不会重试；会回退为纯文本。 ## 配置 在 `~/.openclaw/openclaw.json` 中按提供商设置重试策略： ```json5 { channels: { telegram: { retry: { attempts: 3, minDelayMs: 400, maxDelayMs: 30000, jitter: 0.1, }, }, discord: { retry: { attempts: 3, minDelayMs: 500, maxDelayMs: 30000, jitter: 0.1, }, }, }, } ``` ## 注意事项 - 重试按请求应用（消息发送、媒体上传、表情回应、投票、贴纸）。 - 组合流程不会重试已完成的步骤。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/retry.md | main | opebclaw | [
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# 上下文 "上下文"是 \*\*OpenClaw 在一次运行中发送给模型的所有内容\*\*。它受模型的\*\*上下文窗口\*\*（token 限制）约束。 新手心智模型： - \*\*系统提示词\*\*（OpenClaw 构建）：规则、工具、Skills 列表、时间/运行时，以及注入的工作区文件。 - \*\*对话历史\*\*：你的消息 + 助手在此会话中的消息。 - \*\*工具调用/结果 + 附件\*\*：命令输出、文件读取、图片/音频等。 上下文与"记忆"\_不是同一回事\_：记忆可以存储在磁盘上并稍后重新加载；上下文是模型当前窗口内的内容。 ## 快速开始（检查上下文） - `/status` → 快速查看"我的窗口有多满？" + 会话设置。 - `/context list` → 注入了什么 + 大致大小（每个文件 + 总计）。 - `/context detail` → 更深入的分解：每个文件、每个工具 schema 大小、每个 Skills 条目大小和系统提示词大小。 - `/usage tokens` → 在正常回复后附加每次回复的使用量页脚。 - `/compact` → 将较旧的历史总结为紧凑条目以释放窗口空间。 另请参阅：[斜杠命令](/tools/slash-commands)、[Token 使用与成本](/token-use)、[压缩](/concepts/compaction)。 ## 示例输出 数值因模型、提供商、工具策略和工作区内容而异。 ### `/context list` ``` 🧠 Context breakdown Workspace: Bootstrap max/file: 20,000 chars Sandbox: mode=non-main sandboxed=false System prompt (run): 38,412 chars (~9,603 tok) (Project Context 23,901 chars (~5,976 tok)) Injected workspace files: - AGENTS.md: OK | raw 1,742 chars (~436 tok) | injected 1,742 chars (~436 tok) - SOUL.md: OK | raw 912 chars (~228 tok) | injected 912 chars (~228 tok) - TOOLS.md: TRUNCATED | raw 54,210 chars (~13,553 tok) | injected 20,962 chars (~5,241 tok) - IDENTITY.md: OK | raw 211 chars (~53 tok) | injected 211 chars (~53 tok) - USER.md: OK | raw 388 chars (~97 tok) | injected 388 chars (~97 tok) - HEARTBEAT.md: MISSING | raw 0 | injected 0 - BOOTSTRAP.md: OK | raw 0 chars (~0 tok) | injected 0 chars (~0 tok) Skills list (system prompt text): 2,184 chars (~546 tok) (12 skills) Tools: read, edit, write, exec, process, browser, message, sessions\_send, … Tool list (system prompt text): 1,032 chars (~258 tok) Tool schemas (JSON): 31,988 chars (~7,997 tok) (counts toward context; not shown as text) Tools: (same as above) Session tokens (cached): 14,250 total / ctx=32,000 ``` ### `/context detail` ``` 🧠 Context breakdown (detailed) … Top skills (prompt entry size): - frontend-design: 412 chars (~103 tok) - oracle: 401 chars (~101 tok) … (+10 more skills) Top tools (schema size): - browser: 9,812 chars (~2,453 tok) - exec: 6,240 chars (~1,560 tok) … (+N more tools) ``` ## 什么计入上下文窗口 模型接收的所有内容都计入，包括： - 系统提示词（所有部分）。 - 对话历史。 - 工具调用 + 工具结果。 - 附件/转录（图片/音频/文件）。 - 压缩摘要和修剪产物。 - 提供商"包装器"或隐藏头部（不可见，仍然计数）。 ## OpenClaw 如何构建系统提示词 系统提示词由 \*\*OpenClaw 拥有\*\*，每次运行时重建。它包括： - 工具列表 + 简短描述。 - Skills 列表（仅元数据；见下文）。 - 工作区位置。 - 时间（UTC + 如果配置了则转换为用户时间）。 - 运行时元数据（主机/操作系统/模型/思考）。 - 在\*\*项目上下文\*\*下注入的工作区引导文件。 完整分解：[系统提示词](/concepts/system-prompt)。 ## 注入的工作区文件（项目上下文） 默认情况下，OpenClaw 注入一组固定的工作区文件（如果存在）： - `AGENTS.md` - `SOUL.md` - `TOOLS.md` - `IDENTITY.md` - `USER.md` - `HEARTBEAT.md` - `BOOTSTRAP.md`（仅首次运行） 大文件按文件使用 `agents.defaults.bootstrapMaxChars`（默认 `20000` 字符）截断。`/context` 显示\*\*原始 vs 注入\*\*大小以及是否发生了截断。 ## Skills：注入的内容 vs 按需加载的内容 系统提示词包含一个紧凑的 \*\*Skills 列表\*\*（名称 + 描述 + 位置）。此列表有实际开销。 Skill 指令默认\*不\*包含。模型应该\*\*仅在需要时\*\*`read` Skill 的 `SKILL.md`。 ## 工具：有两种成本 工具以两种方式影响上下文： 1. 系统提示词中的\*\*工具列表文本\*\*（你看到的"Tooling"）。 2. \*\*工具 schema\*\*（JSON）。这些发送给模型以便它可以调用工具。它们计入上下文，即使你看不到它们作为纯文本。 `/context detail` 分解最大的工具 schema，以便你可以看到什么占主导。 ## 命令、指令和"内联快捷方式" 斜杠命令由 Gateway 网关处理。有几种不同的行为： - \*\*独立命令\*\*：仅为 `/...` 的消息作为命令运行。 - \*\*指令\*\*：`/think`、`/verbose`、`/reasoning`、`/elevated`、`/model`、`/queue` 在模型看到消息之前被剥离。 - 仅指令消息会持久化会话设置。 - 正常消息中的内联指令作为每条消息的提示。 - \*\*内联快捷方式\*\*（仅允许列表中的发送者）：正常消息中的某些 `/...` token 可以立即运行（例如："hey /status"），并在模型看到剩余文本之前被剥离。 详情：[斜杠命令](/tools/slash-commands)。 ## 会话、压缩和修剪（什么会持久化） 什么在消息之间持久化取决于机制： - \*\*正常历史\*\*在会话记录中持久化，直到被策略压缩/修剪。 - \*\*压缩\*\*将摘要持久化到记录中，并保持最近的消息不变。 - \*\*修剪\*\*从运行的\*内存中\*提示词中删除旧的工具结果，但不重写记录。 文档：[会话](/concepts/session)、[压缩](/concepts/compaction)、[会话修剪](/concepts/session-pruning)。 ## `/context` 实际报告什么 `/context` 在可用时优先使用最新的\*\*运行构建的\*\*系统提示词报告： - `System prompt (run)` = 从最后一次嵌入式（具有工具能力的）运行中捕获，并持久化在会话存储中。 - `System prompt (estimate)` = 当没有运行报告存在时（或通过不生成报告的 CLI 后端运行时）即时计算。 无论哪种方式，它都报告大小和主要贡献者；它\*\*不会\*\*转储完整的系统提示词或工具 schema。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/context.md | main | opebclaw | [
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# 会话剪枝 会话剪枝在每次 LLM 调用之前从内存上下文中修剪\*\*旧的工具结果\*\*。它\*\*不会\*\*重写磁盘上的会话历史（`\*.jsonl`）。 ## 运行时机 - 当启用 `mode: "cache-ttl"` 且该会话的最后一次 Anthropic 调用早于 `ttl` 时。 - 仅影响该请求发送给模型的消息。 - 仅对 Anthropic API 调用（和 OpenRouter Anthropic 模型）生效。 - 为获得最佳效果，请将 `ttl` 与你的模型 `cacheControlTtl` 匹配。 - 剪枝后，TTL 窗口会重置，因此后续请求会保持缓存直到 `ttl` 再次过期。 ## 智能默认值（Anthropic） - \*\*OAuth 或 setup-token\*\* 配置文件：启用 `cache-ttl` 剪枝并将心跳设置为 `1h`。 - \*\*API 密钥\*\*配置文件：启用 `cache-ttl` 剪枝，将心跳设置为 `30m`，并将 Anthropic 模型的 `cacheControlTtl` 默认为 `1h`。 - 如果你显式设置了这些值中的任何一个，OpenClaw \*\*不会\*\*覆盖它们。 ## 改进内容（成本 + 缓存行为） - \*\*为什么要剪枝：\*\* Anthropic 提示缓存仅在 TTL 内适用。如果会话空闲超过 TTL，下一个请求会重新缓存完整提示，除非你先修剪它。 - \*\*什么变得更便宜：\*\* 剪枝减少了 TTL 过期后第一个请求的 \*\*cacheWrite\*\* 大小。 - \*\*为什么 TTL 重置很重要：\*\* 一旦剪枝运行，缓存窗口会重置，因此后续请求可以重用新缓存的提示，而不是再次重新缓存完整历史。 - \*\*它不做什么：\*\* 剪枝不会添加 token 或"双倍"成本；它只改变该 TTL 后第一个请求缓存的内容。 ## 可以剪枝的内容 - 仅 `toolResult` 消息。 - 用户 + 助手消息\*\*永远不会\*\*被修改。 - 最后 `keepLastAssistants` 条助手消息受保护；该截止点之后的工具结果不会被剪枝。 - 如果没有足够的助手消息来确定截止点，则跳过剪枝。 - 包含\*\*图像块\*\*的工具结果会被跳过（永不修剪/清除）。 ## 上下文窗口估算 剪枝使用估算的上下文窗口（字符 ≈ token × 4）。基础窗口按以下顺序解析： 1. `models.providers.\*.models[].contextWindow` 覆盖。 2. 模型定义 `contextWindow`（来自模型注册表）。 3. 默认 `200000` token。 如果设置了 `agents.defaults.contextTokens`，它将被视为解析窗口的上限（最小值）。 ## 模式 ### cache-ttl - 仅当最后一次 Anthropic 调用早于 `ttl`（默认 `5m`）时才运行剪枝。 - 运行时：与之前相同的软修剪 + 硬清除行为。 ## 软剪枝 vs 硬剪枝 - \*\*软修剪\*\*：仅用于过大的工具结果。 - 保留头部 + 尾部，插入 `...`，并附加一个包含原始大小的注释。 - 跳过包含图像块的结果。 - \*\*硬清除\*\*：用 `hardClear.placeholder` 替换整个工具结果。 ## 工具选择 - `tools.allow` / `tools.deny` 支持 `\*` 通配符。 - 拒绝优先。 - 匹配不区分大小写。 - 允许列表为空 => 允许所有工具。 ## 与其他限制的交互 - 内置工具已经截断自己的输出；会话剪枝是一个额外的层，防止长时间运行的聊天在模型上下文中累积过多的工具输出。 - 压缩是独立的：压缩进行总结并持久化，剪枝是每个请求的临时操作。参阅 [/concepts/compaction](/concepts/compaction)。 ## 默认值（启用时） - `ttl`：`"5m"` - `keepLastAssistants`：`3` - `softTrimRatio`：`0.3` - `hardClearRatio`：`0.5` - `minPrunableToolChars`：`50000` - `softTrim`：`{ maxChars: 4000, headChars: 1500, tailChars: 1500 }` - `hardClear`：`{ enabled: true, placeholder: "[Old tool result content cleared]" }` ## 示例 默认（关闭）： ```json5 { agent: { contextPruning: { mode: "off" }, }, } ``` 启用 TTL 感知剪枝： ```json5 { agent: { contextPruning: { mode: "cache-ttl", ttl: "5m" }, }, } ``` 限制剪枝到特定工具： ```json5 { agent: { contextPruning: { mode: "cache-ttl", tools: { allow: ["exec", "read"], deny: ["\*image\*"] }, }, }, } ``` 参阅配置参考：[Gateway 网关配置](/gateway/configuration) | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/session-pruning.md | main | opebclaw | [
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# OAuth OpenClaw 支持通过 OAuth 进行"订阅认证"，适用于提供此功能的提供商（特别是 \*\*OpenAI Codex（ChatGPT OAuth）\*\*）。对于 Anthropic 订阅，请使用 \*\*setup-token\*\* 流程。本页说明： - OAuth \*\*令牌交换\*\*的工作原理（PKCE） - 令牌\*\*存储\*\*在哪里（以及原因） - 如何处理\*\*多账户\*\*（配置文件 + 按会话覆盖） OpenClaw 还支持\*\*提供商插件\*\*，它们自带 OAuth 或 API 密钥流程。通过以下命令运行： ```bash openclaw models auth login --provider ``` ## 令牌汇聚点（为什么需要它） OAuth 提供商通常在登录/刷新流程中发放\*\*新的刷新令牌\*\*。某些提供商（或 OAuth 客户端）在为同一用户/应用发放新令牌时，可能会使旧的刷新令牌失效。 实际症状： - 你通过 OpenClaw \_和\_ Claude Code / Codex CLI 登录 → 其中一个稍后会随机"登出" 为减少这种情况，OpenClaw 将 `auth-profiles.json` 视为\*\*令牌汇聚点\*\*： - 运行时从\*\*同一个位置\*\*读取凭据 - 我们可以保留多个配置文件并确定性地路由它们 ## 存储（令牌存放位置） 密钥按\*\*智能体\*\*存储： - 认证配置文件（OAuth + API 密钥）：`~/.openclaw/agents//agent/auth-profiles.json` - 运行时缓存（自动管理；请勿编辑）：`~/.openclaw/agents//agent/auth.json` 仅用于导入的旧版文件（仍然支持，但不是主存储）： - `~/.openclaw/credentials/oauth.json`（首次使用时导入到 `auth-profiles.json`） 以上所有路径也遵循 `$OPENCLAW\_STATE\_DIR`（状态目录覆盖）。完整参考：[/gateway/configuration](/gateway/configuration#auth-storage-oauth--api-keys) ## Anthropic setup-token（订阅认证） 在任意机器上运行 `claude setup-token`，然后将其粘贴到 OpenClaw 中： ```bash openclaw models auth setup-token --provider anthropic ``` 如果你在其他地方生成了令牌，可以手动粘贴： ```bash openclaw models auth paste-token --provider anthropic ``` 验证： ```bash openclaw models status ``` ## OAuth 交换（登录工作原理） OpenClaw 的交互式登录流程在 `@mariozechner/pi-ai` 中实现，并集成到向导/命令中。 ### Anthropic（Claude Pro/Max）setup-token 流程概要： 1. 运行 `claude setup-token` 2. 将令牌粘贴到 OpenClaw 3. 作为令牌认证配置文件存储（无刷新） 向导路径为 `openclaw onboard` → 认证选择 `setup-token`（Anthropic）。 ### OpenAI Codex（ChatGPT OAuth） 流程概要（PKCE）： 1. 生成 PKCE 验证器/质询 + 随机 `state` 2. 打开 `https://auth.openai.com/oauth/authorize?...` 3. 尝试在 `http://127.0.0.1:1455/auth/callback` 捕获回调 4. 如果回调无法绑定（或你在远程/无头环境中），手动粘贴重定向 URL/代码 5. 在 `https://auth.openai.com/oauth/token` 进行交换 6. 从访问令牌中提取 `accountId` 并存储 `{ access, refresh, expires, accountId }` 向导路径为 `openclaw onboard` → 认证选择 `openai-codex`。 ## 刷新 + 过期 配置文件存储 `expires` 时间戳。 运行时： - 如果 `expires` 在未来 → 使用已存储的访问令牌 - 如果已过期 → 刷新（在文件锁下）并覆盖已存储的凭据 刷新流程是自动的；你通常不需要手动管理令牌。 ## 多账户（配置文件）+ 路由 两种模式： ### 1）推荐：独立智能体 如果你希望"个人"和"工作"永远不交叉，请使用隔离的智能体（独立的会话 + 凭据 + 工作区）： ```bash openclaw agents add work openclaw agents add personal ``` 然后按智能体配置认证（向导），并将聊天路由到正确的智能体。 ### 2）高级：单个智能体中的多个配置文件 `auth-profiles.json` 支持同一提供商的多个配置文件 ID。 选择使用哪个配置文件： - 通过配置顺序全局设置（`auth.order`） - 通过 `/model ...@` 按会话设置 示例（会话覆盖）： - `/model Opus@anthropic:work` 如何查看存在哪些配置文件 ID： - `openclaw channels list --json`（显示 `auth[]`） 相关文档： - [/concepts/model-failover](/concepts/model-failover)（轮换 + 冷却规则） - [/tools/slash-commands](/tools/slash-commands)（命令界面） | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/oauth.md | main | opebclaw | [
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# 智能体工作区 工作区是智能体的家。它是文件工具和工作区上下文使用的唯一工作目录。请保持其私密性并将其视为记忆。 这与 `~/.openclaw/` 是分开的，后者存储配置、凭证和会话。 \*\*重要：\*\* 工作区是\*\*默认 cwd\*\*，而不是硬性沙箱。工具会根据工作区解析相对路径，但绝对路径仍然可以访问主机上的其他位置，除非启用了沙箱隔离。如果你需要隔离，请使用 [`agents.defaults.sandbox`](/gateway/sandboxing)（和/或每智能体沙箱配置）。 当启用沙箱隔离且 `workspaceAccess` 不是 `"rw"` 时，工具在 `~/.openclaw/sandboxes` 下的沙箱工作区内操作，而不是你的主机工作区。 ## 默认位置 - 默认：`~/.openclaw/workspace` - 如果设置了 `OPENCLAW\_PROFILE` 且不是 `"default"`，默认值变为 `~/.openclaw/workspace-`。 - 在 `~/.openclaw/openclaw.json` 中覆盖： ```json5 { agent: { workspace: "~/.openclaw/workspace", }, } ``` `openclaw onboard`、`openclaw configure` 或 `openclaw setup` 将创建工作区并在缺失时填充引导文件。 如果你已经自己管理工作区文件，可以禁用引导文件创建： ```json5 { agent: { skipBootstrap: true } } ``` ## 额外的工作区文件夹 旧版安装可能创建了 `~/openclaw`。保留多个工作区目录可能会导致混乱的认证或状态漂移，因为同一时间只有一个工作区是活动的。 \*\*建议：\*\* 保持单个活动工作区。如果你不再使用额外的文件夹，请归档或移至废纸篓（例如 `trash ~/openclaw`）。 如果你有意保留多个工作区，请确保 `agents.defaults.workspace` 指向活动的那个。 `openclaw doctor` 在检测到额外工作区目录时会发出警告。 ## 工作区文件映射（每个文件的含义） 这些是 OpenClaw 在工作区内期望的标准文件： - `AGENTS.md` - 智能体的操作指南以及它应该如何使用记忆。 - 在每个会话开始时加载。 - 适合放置规则、优先级和"如何行为"的详细信息。 - `SOUL.md` - 人设、语气和边界。 - 每个会话加载。 - `USER.md` - 用户是谁以及如何称呼他们。 - 每个会话加载。 - `IDENTITY.md` - 智能体的名称、风格和表情符号。 - 在引导仪式期间创建/更新。 - `TOOLS.md` - 关于你本地工具和惯例的注释。 - 不控制工具可用性；仅作为指导。 - `HEARTBEAT.md` - 可选的心跳运行小型检查清单。 - 保持简短以避免 token 消耗。 - `BOOT.md` - 当启用内部 hooks 时，在 Gateway 网关重启时执行的可选启动检查清单。 - 保持简短；使用 message 工具进行出站发送。 - `BOOTSTRAP.md` - 一次性首次运行仪式。 - 仅为全新工作区创建。 - 仪式完成后删除它。 - `memory/YYYY-MM-DD.md` - 每日记忆日志（每天一个文件）。 - 建议在会话开始时读取今天 + 昨天的内容。 - `MEMORY.md`（可选） - 精选的长期记忆。 - 仅在主私密会话中加载（不在共享/群组上下文中）。 参见 [记忆](/concepts/memory) 了解工作流程和自动记忆刷新。 - `skills/`（可选） - 工作区特定的 Skills。 - 当名称冲突时覆盖托管/捆绑的 Skills。 - `canvas/`（可选） - 用于节点显示的 Canvas UI 文件（例如 `canvas/index.html`）。 如果任何引导文件缺失，OpenClaw 会在会话中注入"缺失文件"标记并继续。大型引导文件在注入时会被截断；使用 `agents.defaults.bootstrapMaxChars` 调整限制（默认：20000）。 `openclaw setup` 可以重新创建缺失的默认值而不覆盖现有文件。 ## 工作区中不包含的内容 这些位于 `~/.openclaw/` 下，不应提交到工作区仓库： - `~/.openclaw/openclaw.json`（配置） - `~/.openclaw/credentials/`（OAuth token、API 密钥） - `~/.openclaw/agents//sessions/`（会话记录 + 元数据） - `~/.openclaw/skills/`（托管的 Skills） 如果你需要迁移会话或配置，请单独复制它们并将它们排除在版本控制之外。 ## Git 备份（推荐，私有） 将工作区视为私密记忆。将其放入\*\*私有\*\* git 仓库以便备份和恢复。 在运行 Gateway 网关的机器上执行这些步骤（工作区就在那里）。 ### 1）初始化仓库 如果安装了 git，全新工作区会自动初始化。如果此工作区还不是仓库，请运行： ```bash cd ~/.openclaw/workspace git init git add AGENTS.md SOUL.md TOOLS.md IDENTITY.md USER.md HEARTBEAT.md memory/ git commit -m "Add agent workspace" ``` ### 2）添加私有远程（适合初学者的选项） 选项 A：GitHub 网页界面 1. 在 GitHub 上创建新的\*\*私有\*\*仓库。 2. 不要用 README 初始化（避免合并冲突）。 3. 复制 HTTPS 远程 URL。 4. 添加远程并推送： ```bash git branch -M main git remote add origin git push -u origin main ``` 选项 B：GitHub CLI（`gh`） ```bash gh auth login gh repo create openclaw-workspace --private --source . --remote origin --push ``` 选项 C：GitLab 网页界面 1. 在 GitLab 上创建新的\*\*私有\*\*仓库。 2. 不要用 README 初始化（避免合并冲突）。 3. 复制 HTTPS 远程 URL。 4. 添加远程并推送： ```bash git branch -M main git remote add origin git push -u origin main ``` ### 3）持续更新 ```bash git status git add . git commit -m "Update memory" git push ``` ## 不要提交密钥 即使在私有仓库中，也要避免在工作区中存储密钥： - API 密钥、OAuth token、密码或私有凭证。 - `~/.openclaw/` 下的任何内容。 - 聊天的原始转储或敏感附件。 如果你必须存储敏感引用，请使用占位符并将真正的密钥保存在其他地方（密码管理器、环境变量或 `~/.openclaw/`）。 建议的 `.gitignore` 起始配置： ```gitignore .DS\_Store .env \*\*/\*.key \*\*/\*.pem \*\*/secrets\* ``` ## 将工作区迁移到新机器 1. 将仓库克隆到所需路径（默认 `~/.openclaw/workspace`）。 2. 在 `~/.openclaw/openclaw.json` 中将 `agents.defaults.workspace` 设置为该路径。 3. 运行 `openclaw setup --workspace ` 来填充任何缺失的文件。 4. 如果你需要会话，请单独从旧机器复制 `~/.openclaw/agents//sessions/`。 ## 高级注意事项 - 多智能体路由可以为每个智能体使用不同的工作区。参见 [渠道路由](/concepts/channel-routing) 了解路由配置。 - 如果启用了 `agents.defaults.sandbox`，非主会话可以在 `agents.defaults.sandbox.workspaceRoot` 下使用每会话沙箱工作区。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/agent-workspace.md | main | opebclaw | [
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# 多智能体路由 目标：多个\*隔离的\*智能体（独立的工作区 + `agentDir` + 会话），加上多个渠道账户（例如两个 WhatsApp）在一个运行的 Gateway 网关中。入站消息通过绑定路由到智能体。 ## 什么是"一个智能体"？ 一个\*\*智能体\*\*是一个完全独立作用域的大脑，拥有自己的： - \*\*工作区\*\*（文件、AGENTS.md/SOUL.md/USER.md、本地笔记、人设规则）。 - \*\*状态目录\*\*（`agentDir`）用于认证配置文件、模型注册表和每智能体配置。 - \*\*会话存储\*\*（聊天历史 + 路由状态）位于 `~/.openclaw/agents//sessions` 下。 认证配置文件是\*\*每智能体独立的\*\*。每个智能体从自己的位置读取： ``` ~/.openclaw/agents//agent/auth-profiles.json ``` 主智能体凭证\*\*不会\*\*自动共享。切勿在智能体之间重用 `agentDir`（这会导致认证/会话冲突）。如果你想共享凭证，请将 `auth-profiles.json` 复制到另一个智能体的 `agentDir`。 Skills 通过每个工作区的 `skills/` 文件夹实现每智能体独立，共享的 Skills 可从 `~/.openclaw/skills` 获取。参见 [Skills：每智能体 vs 共享](/tools/skills#per-agent-vs-shared-skills)。 Gateway 网关可以托管\*\*一个智能体\*\*（默认）或\*\*多个智能体\*\*并行。 \*\*工作区注意事项：\*\* 每个智能体的工作区是\*\*默认 cwd\*\*，而不是硬性沙箱。相对路径在工作区内解析，但绝对路径可以访问主机的其他位置，除非启用了沙箱隔离。参见 [沙箱隔离](/gateway/sandboxing)。 ## 路径（快速映射） - 配置：`~/.openclaw/openclaw.json`（或 `OPENCLAW\_CONFIG\_PATH`） - 状态目录：`~/.openclaw`（或 `OPENCLAW\_STATE\_DIR`） - 工作区：`~/.openclaw/workspace`（或 `~/.openclaw/workspace-`） - 智能体目录：`~/.openclaw/agents//agent`（或 `agents.list[].agentDir`） - 会话：`~/.openclaw/agents//sessions` ### 单智能体模式（默认） 如果你什么都不做，OpenClaw 运行单个智能体： - `agentId` 默认为 \*\*`main`\*\*。 - 会话键为 `agent:main:`。 - 工作区默认为 `~/.openclaw/workspace`（或当设置了 `OPENCLAW\_PROFILE` 时为 `~/.openclaw/workspace-`）。 - 状态默认为 `~/.openclaw/agents/main/agent`。 ## 智能体助手 使用智能体向导添加新的隔离智能体： ```bash openclaw agents add work ``` 然后添加 `bindings`（或让向导完成）来路由入站消息。 验证： ```bash openclaw agents list --bindings ``` ## 多个智能体 = 多个人、多种人格 使用\*\*多个智能体\*\*，每个 `agentId` 成为一个\*\*完全隔离的人格\*\*： - \*\*不同的电话号码/账户\*\*（每渠道 `accountId`）。 - \*\*不同的人格\*\*（每智能体工作区文件如 `AGENTS.md` 和 `SOUL.md`）。 - \*\*独立的认证 + 会话\*\*（除非明确启用，否则无交叉通信）。 这让\*\*多个人\*\*共享一个 Gateway 网关服务器，同时保持他们的 AI"大脑"和数据隔离。 ## 一个 WhatsApp 号码，多个人（私信分割） 你可以将\*\*不同的 WhatsApp 私信\*\*路由到不同的智能体，同时保持\*\*一个 WhatsApp 账户\*\*。使用 `peer.kind: "dm"` 匹配发送者 E.164（如 `+15551234567`）。回复仍然来自同一个 WhatsApp 号码（无每智能体发送者身份）。 重要细节：直接聊天折叠到智能体的\*\*主会话键\*\*，因此真正的隔离需要\*\*每人一个智能体\*\*。 示例： ```json5 { agents: { list: [ { id: "alex", workspace: "~/.openclaw/workspace-alex" }, { id: "mia", workspace: "~/.openclaw/workspace-mia" }, ], }, bindings: [ { agentId: "alex", match: { channel: "whatsapp", peer: { kind: "dm", id: "+15551230001" } } }, { agentId: "mia", match: { channel: "whatsapp", peer: { kind: "dm", id: "+15551230002" } } }, ], channels: { whatsapp: { dmPolicy: "allowlist", allowFrom: ["+15551230001", "+15551230002"], }, }, } ``` 注意事项： - 私信访问控制是\*\*每 WhatsApp 账户全局的\*\*（配对/允许列表），而不是每智能体。 - 对于共享群组，将群组绑定到一个智能体或使用 [广播群组](/broadcast-groups)。 ## 路由规则（消息如何选择智能体） 绑定是\*\*确定性的\*\*，\*\*最具体的优先\*\*： 1. `peer` 匹配（精确私信/群组/频道 id） 2. `guildId`（Discord） 3. `teamId`（Slack） 4. 渠道的 `accountId` 匹配 5. 渠道级匹配（`accountId: "\*"`） 6. 回退到默认智能体（`agents.list[].default`，否则列表中的第一个条目，默认：`main`） ## 多账户/电话号码 支持\*\*多账户\*\*的渠道（如 WhatsApp）使用 `accountId` 来识别每个登录。每个 `accountId` 可以路由到不同的智能体，因此一个服务器可以托管多个电话号码而不混合会话。 ## 概念 - `agentId`：一个"大脑"（工作区、每智能体认证、每智能体会话存储）。 - `accountId`：一个渠道账户实例（例如 WhatsApp 账户 `"personal"` vs `"biz"`）。 - `binding`：通过 `(channel, accountId, peer)` 以及可选的 guild/team id 将入站消息路由到 `agentId`。 - 直接聊天折叠到 `agent::`（每智能体"主"；`session.mainKey`）。 ## 示例：两个 WhatsApp → 两个智能体 `~/.openclaw/openclaw.json`（JSON5）： ```js { agents: { list: [ { id: "home", default: true, name: "Home", workspace: "~/.openclaw/workspace-home", agentDir: "~/.openclaw/agents/home/agent", }, { id: "work", name: "Work", workspace: "~/.openclaw/workspace-work", agentDir: "~/.openclaw/agents/work/agent", }, ], }, // 确定性路由：第一个匹配获胜（最具体的优先）。 bindings: [ { agentId: "home", match: { channel: "whatsapp", accountId: "personal" } }, { agentId: "work", match: { channel: "whatsapp", accountId: "biz" } }, // 可选的每对等方覆盖（示例：将特定群组发送到 work 智能体）。 { agentId: "work", match: { channel: "whatsapp", accountId: "personal", peer: { kind: "group", id: "1203630...@g.us" }, }, }, ], // 默认关闭：智能体到智能体的消息必须明确启用 + 加入允许列表。 tools: { agentToAgent: { enabled: false, allow: ["home", "work"], }, }, channels: { whatsapp: { accounts: { personal: { // 可选覆盖。默认：~/.openclaw/credentials/whatsapp/personal // authDir: "~/.openclaw/credentials/whatsapp/personal", }, biz: { // 可选覆盖。默认：~/.openclaw/credentials/whatsapp/biz // authDir: "~/.openclaw/credentials/whatsapp/biz", }, }, }, }, } ``` ## 示例：WhatsApp 日常聊天 + Telegram 深度工作 按渠道分割：将 WhatsApp 路由到快速日常智能体，Telegram 路由到 Opus 智能体。 ```json5 { agents: { list: [ { id: "chat", name: "Everyday", workspace: "~/.openclaw/workspace-chat", model: "anthropic/claude-sonnet-4-5", }, { id: "opus", name: "Deep Work", workspace: "~/.openclaw/workspace-opus", model: "anthropic/claude-opus-4-5", }, ], }, bindings: [ { agentId: "chat", match: { channel: "whatsapp" } }, { agentId: "opus", match: { channel: "telegram" } }, ], } ``` 注意事项： - 如果你有一个渠道的多个账户，请在绑定中添加 `accountId`（例如 `{ channel: "whatsapp", accountId: "personal" }`）。 - 要将单个私信/群组路由到 Opus 而保持其余在 chat 上，请为该对等方添加 `match.peer` 绑定；对等方匹配始终优先于渠道级规则。 ## 示例：同一渠道，一个对等方到 Opus 保持 WhatsApp 在快速智能体上，但将一个私信路由到 Opus： ```json5 { agents: { list: [ { id: "chat", name: "Everyday", workspace: "~/.openclaw/workspace-chat", model: "anthropic/claude-sonnet-4-5", }, { id: "opus", name: "Deep Work", workspace: "~/.openclaw/workspace-opus", model: "anthropic/claude-opus-4-5", }, ], }, bindings: [ { agentId: "opus", match: { channel: "whatsapp", peer: { kind: "dm", id: "+15551234567" } } }, { agentId: "chat", match: { channel: "whatsapp" } }, ], } ``` 对等方绑定始终获胜，因此将它们放在渠道级规则之上。 ## 绑定到 WhatsApp 群组的家庭智能体 将专用家庭智能体绑定到单个 WhatsApp 群组，使用提及限制和更严格的工具策略： ```json5 { agents: { list: [ { id: "family", name: "Family", workspace: "~/.openclaw/workspace-family", identity: { name: "Family Bot" }, groupChat: { mentionPatterns: ["@family", "@familybot", "@Family Bot"], }, sandbox: { mode: "all", scope: "agent", }, tools: { allow: [ "exec", "read", "sessions\_list", "sessions\_history", "sessions\_send", "sessions\_spawn", "session\_status", | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/multi-agent.md | main | opebclaw | [
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WhatsApp 群组的家庭智能体 将专用家庭智能体绑定到单个 WhatsApp 群组，使用提及限制和更严格的工具策略： ```json5 { agents: { list: [ { id: "family", name: "Family", workspace: "~/.openclaw/workspace-family", identity: { name: "Family Bot" }, groupChat: { mentionPatterns: ["@family", "@familybot", "@Family Bot"], }, sandbox: { mode: "all", scope: "agent", }, tools: { allow: [ "exec", "read", "sessions\_list", "sessions\_history", "sessions\_send", "sessions\_spawn", "session\_status", ], deny: ["write", "edit", "apply\_patch", "browser", "canvas", "nodes", "cron"], }, }, ], }, bindings: [ { agentId: "family", match: { channel: "whatsapp", peer: { kind: "group", id: "120363999999999999@g.us" }, }, }, ], } ``` 注意事项： - 工具允许/拒绝列表是\*\*工具\*\*，不是 Skills。如果 skill 需要运行二进制文件，请确保 `exec` 被允许且二进制文件存在于沙箱中。 - 对于更严格的限制，设置 `agents.list[].groupChat.mentionPatterns` 并为渠道保持群组允许列表启用。 ## 每智能体沙箱和工具配置 从 v2026.1.6 开始，每个智能体可以有自己的沙箱和工具限制： ```js { agents: { list: [ { id: "personal", workspace: "~/.openclaw/workspace-personal", sandbox: { mode: "off", // 个人智能体无沙箱 }, // 无工具限制 - 所有工具可用 }, { id: "family", workspace: "~/.openclaw/workspace-family", sandbox: { mode: "all", // 始终沙箱隔离 scope: "agent", // 每智能体一个容器 docker: { // 容器创建后的可选一次性设置 setupCommand: "apt-get update && apt-get install -y git curl", }, }, tools: { allow: ["read"], // 仅 read 工具 deny: ["exec", "write", "edit", "apply\_patch"], // 拒绝其他 }, }, ], }, } ``` 注意：`setupCommand` 位于 `sandbox.docker` 下，在容器创建时运行一次。 当解析的 scope 为 `"shared"` 时，每智能体 `sandbox.docker.\*` 覆盖会被忽略。 \*\*好处：\*\* - \*\*安全隔离\*\*：限制不受信任智能体的工具 - \*\*资源控制\*\*：沙箱隔离特定智能体同时保持其他智能体在主机上 - \*\*灵活策略\*\*：每智能体不同的权限 注意：`tools.elevated` 是\*\*全局的\*\*且基于发送者；不能按智能体配置。 如果你需要每智能体边界，使用 `agents.list[].tools` 拒绝 `exec`。 对于群组定向，使用 `agents.list[].groupChat.mentionPatterns` 使 @提及清晰地映射到目标智能体。 参见 [多智能体沙箱和工具](/multi-agent-sandbox-tools) 了解详细示例。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/multi-agent.md | main | opebclaw | [
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# 时区 OpenClaw 对时间戳进行标准化，使模型看到\*\*单一的参考时间\*\*。 ## 消息信封（默认为本地时间） 入站消息被包装在如下信封中： ``` [Provider ... 2026-01-05 16:26 PST] message text ``` 信封中的时间戳\*\*默认为主机本地时间\*\*，精确到分钟。 你可以通过以下配置进行覆盖： ```json5 { agents: { defaults: { envelopeTimezone: "local", // "utc" | "local" | "user" | IANA 时区 envelopeTimestamp: "on", // "on" | "off" envelopeElapsed: "on", // "on" | "off" }, }, } ``` - `envelopeTimezone: "utc"` 使用 UTC。 - `envelopeTimezone: "user"` 使用 `agents.defaults.userTimezone`（回退到主机时区）。 - 使用显式 IANA 时区（例如 `"Europe/Vienna"`）可设置固定偏移量。 - `envelopeTimestamp: "off"` 从信封头中移除绝对时间戳。 - `envelopeElapsed: "off"` 移除已用时间后缀（`+2m` 样式）。 ### 示例 \*\*本地时间（默认）：\*\* ``` [Signal Alice +1555 2026-01-18 00:19 PST] hello ``` \*\*固定时区：\*\* ``` [Signal Alice +1555 2026-01-18 06:19 GMT+1] hello ``` \*\*已用时间：\*\* ``` [Signal Alice +1555 +2m 2026-01-18T05:19Z] follow-up ``` ## 工具负载（原始提供商数据 + 规范化字段） 工具调用（`channels.discord.readMessages`、`channels.slack.readMessages` 等）返回\*\*原始提供商时间戳\*\*。我们还附加规范化字段以保持一致性： - `timestampMs`（UTC 纪元毫秒数） - `timestampUtc`（ISO 8601 UTC 字符串） 原始提供商字段保持不变。 ## 系统提示词的用户时区 设置 `agents.defaults.userTimezone` 来告知模型用户的本地时区。如果未设置，OpenClaw 会在运行时\*\*解析主机时区\*\*（无需写入配置）。 ```json5 { agents: { defaults: { userTimezone: "America/Chicago" } }, } ``` 系统提示词包含： - `Current Date & Time` 部分，显示本地时间和时区 - `Time format: 12-hour` 或 `24-hour` 你可以通过 `agents.defaults.timeFormat`（`auto` | `12` | `24`）控制提示词格式。 详情参见[日期与时间](/date-time)的完整行为和示例。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/timezone.md | main | opebclaw | [
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# 流式传输 + 分块 OpenClaw 有两个独立的"流式传输"层： - \*\*分块流式传输（渠道）：\*\* 在助手写入时发出已完成的\*\*块\*\*。这些是普通的渠道消息（不是令牌增量）。 - \*\*类令牌流式传输（仅限 Telegram）：\*\* 在生成时用部分文本更新\*\*草稿气泡\*\*；最终消息在结束时发送。 目前\*\*没有真正的令牌流式传输\*\*到外部渠道消息。Telegram 草稿流式传输是唯一的部分流式传输界面。 ## 分块流式传输（渠道消息） 分块流式传输在助手输出可用时以粗粒度块发送。 ``` 模型输出 └─ text\_delta/events ├─ (blockStreamingBreak=text\_end) │ └─ 分块器在缓冲区增长时发出块 └─ (blockStreamingBreak=message\_end) └─ 分块器在 message\_end 时刷新 └─ 渠道发送（块回复） ``` 图例： - `text\_delta/events`：模型流事件（对于非流式模型可能稀疏）。 - `chunker`：应用最小/最大边界 + 断点偏好的 `EmbeddedBlockChunker`。 - `channel send`：实际的出站消息（块回复）。 \*\*控制项：\*\* - `agents.defaults.blockStreamingDefault`：`"on"`/`"off"`（默认关闭）。 - 渠道覆盖：`\*.blockStreaming`（以及每账户变体）可为每个渠道强制设置 `"on"`/`"off"`。 - `agents.defaults.blockStreamingBreak`：`"text\_end"` 或 `"message\_end"`。 - `agents.defaults.blockStreamingChunk`：`{ minChars, maxChars, breakPreference? }`。 - `agents.defaults.blockStreamingCoalesce`：`{ minChars?, maxChars?, idleMs? }`（发送前合并流式块）。 - 渠道硬上限：`\*.textChunkLimit`（例如 `channels.whatsapp.textChunkLimit`）。 - 渠道分块模式：`\*.chunkMode`（默认 `length`，`newline` 在长度分块之前按空行（段落边界）分割）。 - Discord 软上限：`channels.discord.maxLinesPerMessage`（默认 17）分割高度较大的回复以避免 UI 裁剪。 \*\*边界语义：\*\* - `text\_end`：分块器发出时立即流式传输块；在每个 `text\_end` 时刷新。 - `message\_end`：等到助手消息完成，然后刷新缓冲的输出。 如果缓冲文本超过 `maxChars`，`message\_end` 仍然使用分块器，因此可能在最后发出多个块。 ## 分块算法（低/高边界） 块分块由 `EmbeddedBlockChunker` 实现： - \*\*低边界：\*\* 在缓冲区 >= `minChars` 之前不发出（除非强制）。 - \*\*高边界：\*\* 优先在 `maxChars` 之前分割；如果强制，则在 `maxChars` 处分割。 - \*\*断点偏好：\*\* `paragraph` → `newline` → `sentence` → `whitespace` → 硬断点。 - \*\*代码围栏：\*\* 从不在围栏内分割；当在 `maxChars` 处强制分割时，关闭 + 重新打开围栏以保持 Markdown 有效。 `maxChars` 被限制在渠道 `textChunkLimit` 内，因此你无法超过每渠道的上限。 ## 合并（合并流式块） 启用分块流式传输时，OpenClaw 可以在发送前\*\*合并连续的块分块\*\*。这减少了"单行刷屏"，同时仍提供渐进式输出。 - 合并在\*\*空闲间隙\*\*（`idleMs`）后刷新。 - 缓冲区受 `maxChars` 限制，超过时将刷新。 - `minChars` 防止微小片段发送，直到累积足够文本（最终刷新始终发送剩余文本）。 - 连接符从 `blockStreamingChunk.breakPreference` 派生（`paragraph` → `\n\n`，`newline` → `\n`，`sentence` → 空格）。 - 渠道覆盖通过 `\*.blockStreamingCoalesce` 可用（包括每账户配置）。 - 除非覆盖，Signal/Slack/Discord 的默认合并 `minChars` 提高到 1500。 ## 块之间的类人节奏 启用分块流式传输时，你可以在块回复之间添加\*\*随机暂停\*\*（在第一个块之后）。这使多气泡响应感觉更自然。 - 配置：`agents.defaults.humanDelay`（通过 `agents.list[].humanDelay` 按智能体覆盖）。 - 模式：`off`（默认）、`natural`（800–2500ms）、`custom`（`minMs`/`maxMs`）。 - 仅适用于\*\*块回复\*\*，不适用于最终回复或工具摘要。 ## "流式传输块或全部内容" 这映射到： - \*\*流式传输块：\*\* `blockStreamingDefault: "on"` + `blockStreamingBreak: "text\_end"`（边生成边发出）。非 Telegram 渠道还需要 `\*.blockStreaming: true`。 - \*\*最后流式传输全部内容：\*\* `blockStreamingBreak: "message\_end"`（刷新一次，如果很长可能有多个块）。 - \*\*无分块流式传输：\*\* `blockStreamingDefault: "off"`（只有最终回复）。 \*\*渠道说明：\*\* 对于非 Telegram 渠道，分块流式传输\*\*默认关闭\*\*，除非 `\*.blockStreaming` 明确设置为 `true`。Telegram 可以在没有块回复的情况下流式传输草稿（`channels.telegram.streamMode`）。 配置位置提醒：`blockStreaming\*` 默认值位于 `agents.defaults` 下，而不是根配置。 ## Telegram 草稿流式传输（类令牌） Telegram 是唯一支持草稿流式传输的渠道： - 在\*\*带主题的私聊\*\*中使用 Bot API `sendMessageDraft`。 - `channels.telegram.streamMode: "partial" | "block" | "off"`。 - `partial`：用最新的流式文本更新草稿。 - `block`：以分块方式更新草稿（相同的分块器规则）。 - `off`：无草稿流式传输。 - 草稿分块配置（仅用于 `streamMode: "block"`）：`channels.telegram.draftChunk`（默认值：`minChars: 200`，`maxChars: 800`）。 - 草稿流式传输与分块流式传输分开；块回复默认关闭，仅在非 Telegram 渠道上通过 `\*.blockStreaming: true` 启用。 - 最终回复仍然是普通消息。 - `/reasoning stream` 将推理写入草稿气泡（仅限 Telegram）。 当草稿流式传输活跃时，OpenClaw 会为该回复禁用分块流式传输以避免双重流式传输。 ``` Telegram（私聊 + 主题） └─ sendMessageDraft（草稿气泡） ├─ streamMode=partial → 更新最新文本 └─ streamMode=block → 分块器更新草稿 └─ 最终回复 → 普通消息 ``` 图例： - `sendMessageDraft`：Telegram 草稿气泡（不是真正的消息）。 - `final reply`：普通 Telegram 消息发送。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/streaming.md | main | opebclaw | [
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# 模型提供商 本页介绍 \*\*LLM/模型提供商\*\*（不是 WhatsApp/Telegram 等聊天渠道）。 关于模型选择规则，请参阅 [/concepts/models](/concepts/models)。 ## 快速规则 - 模型引用使用 `provider/model` 格式（例如：`opencode/claude-opus-4-5`）。 - 如果设置了 `agents.defaults.models`，它将成为允许列表。 - CLI 辅助工具：`openclaw onboard`、`openclaw models list`、`openclaw models set `。 ## 内置提供商（pi-ai 目录） OpenClaw 附带 pi-ai 目录。这些提供商\*\*不需要\*\* `models.providers` 配置；只需设置认证 + 选择模型。 ### OpenAI - 提供商：`openai` - 认证：`OPENAI\_API\_KEY` - 示例模型：`openai/gpt-5.2` - CLI：`openclaw onboard --auth-choice openai-api-key` ```json5 { agents: { defaults: { model: { primary: "openai/gpt-5.2" } } }, } ``` ### Anthropic - 提供商：`anthropic` - 认证：`ANTHROPIC\_API\_KEY` 或 `claude setup-token` - 示例模型：`anthropic/claude-opus-4-5` - CLI：`openclaw onboard --auth-choice token`（粘贴 setup-token）或 `openclaw models auth paste-token --provider anthropic` ```json5 { agents: { defaults: { model: { primary: "anthropic/claude-opus-4-5" } } }, } ``` ### OpenAI Code (Codex) - 提供商：`openai-codex` - 认证：OAuth (ChatGPT) - 示例模型：`openai-codex/gpt-5.2` - CLI：`openclaw onboard --auth-choice openai-codex` 或 `openclaw models auth login --provider openai-codex` ```json5 { agents: { defaults: { model: { primary: "openai-codex/gpt-5.2" } } }, } ``` ### OpenCode Zen - 提供商：`opencode` - 认证：`OPENCODE\_API\_KEY`（或 `OPENCODE\_ZEN\_API\_KEY`） - 示例模型：`opencode/claude-opus-4-5` - CLI：`openclaw onboard --auth-choice opencode-zen` ```json5 { agents: { defaults: { model: { primary: "opencode/claude-opus-4-5" } } }, } ``` ### Google Gemini（API 密钥） - 提供商：`google` - 认证：`GEMINI\_API\_KEY` - 示例模型：`google/gemini-3-pro-preview` - CLI：`openclaw onboard --auth-choice gemini-api-key` ### Google Vertex、Antigravity 和 Gemini CLI - 提供商：`google-vertex`、`google-antigravity`、`google-gemini-cli` - 认证：Vertex 使用 gcloud ADC；Antigravity/Gemini CLI 使用各自的认证流程 - Antigravity OAuth 作为捆绑插件提供（`google-antigravity-auth`，默认禁用）。 - 启用：`openclaw plugins enable google-antigravity-auth` - 登录：`openclaw models auth login --provider google-antigravity --set-default` - Gemini CLI OAuth 作为捆绑插件提供（`google-gemini-cli-auth`，默认禁用）。 - 启用：`openclaw plugins enable google-gemini-cli-auth` - 登录：`openclaw models auth login --provider google-gemini-cli --set-default` - 注意：你\*\*不需要\*\*将客户端 ID 或密钥粘贴到 `openclaw.json` 中。CLI 登录流程将令牌存储在 Gateway 网关主机的认证配置文件中。 ### Z.AI (GLM) - 提供商：`zai` - 认证：`ZAI\_API\_KEY` - 示例模型：`zai/glm-4.7` - CLI：`openclaw onboard --auth-choice zai-api-key` - 别名：`z.ai/\*` 和 `z-ai/\*` 规范化为 `zai/\*` ### Vercel AI Gateway - 提供商：`vercel-ai-gateway` - 认证：`AI\_GATEWAY\_API\_KEY` - 示例模型：`vercel-ai-gateway/anthropic/claude-opus-4.5` - CLI：`openclaw onboard --auth-choice ai-gateway-api-key` ### 其他内置提供商 - OpenRouter：`openrouter`（`OPENROUTER\_API\_KEY`） - 示例模型：`openrouter/anthropic/claude-sonnet-4-5` - xAI：`xai`（`XAI\_API\_KEY`） - Groq：`groq`（`GROQ\_API\_KEY`） - Cerebras：`cerebras`（`CEREBRAS\_API\_KEY`） - Cerebras 上的 GLM 模型使用 ID `zai-glm-4.7` 和 `zai-glm-4.6`。 - OpenAI 兼容的基础 URL：`https://api.cerebras.ai/v1`。 - Mistral：`mistral`（`MISTRAL\_API\_KEY`） - GitHub Copilot：`github-copilot`（`COPILOT\_GITHUB\_TOKEN` / `GH\_TOKEN` / `GITHUB\_TOKEN`） ## 通过 `models.providers` 配置的提供商（自定义/基础 URL） 使用 `models.providers`（或 `models.json`）添加\*\*自定义\*\*提供商或 OpenAI/Anthropic 兼容的代理。 ### Moonshot AI (Kimi) Moonshot 使用 OpenAI 兼容端点，因此将其配置为自定义提供商： - 提供商：`moonshot` - 认证：`MOONSHOT\_API\_KEY` - 示例模型：`moonshot/kimi-k2.5` Kimi K2 模型 ID： {/\_ moonshot-kimi-k2-model-refs:start \_/ && null} - `moonshot/kimi-k2.5` - `moonshot/kimi-k2-0905-preview` - `moonshot/kimi-k2-turbo-preview` - `moonshot/kimi-k2-thinking` - `moonshot/kimi-k2-thinking-turbo` {/\_ moonshot-kimi-k2-model-refs:end \_/ && null} ```json5 { agents: { defaults: { model: { primary: "moonshot/kimi-k2.5" } }, }, models: { mode: "merge", providers: { moonshot: { baseUrl: "https://api.moonshot.ai/v1", apiKey: "${MOONSHOT\_API\_KEY}", api: "openai-completions", models: [{ id: "kimi-k2.5", name: "Kimi K2.5" }], }, }, }, } ``` ### Kimi Coding Kimi Coding 使用 Moonshot AI 的 Anthropic 兼容端点： - 提供商：`kimi-coding` - 认证：`KIMI\_API\_KEY` - 示例模型：`kimi-coding/k2p5` ```json5 { env: { KIMI\_API\_KEY: "sk-..." }, agents: { defaults: { model: { primary: "kimi-coding/k2p5" } }, }, } ``` ### Qwen OAuth（免费层级） Qwen 通过设备码流程提供对 Qwen Coder + Vision 的 OAuth 访问。 启用捆绑插件，然后登录： ```bash openclaw plugins enable qwen-portal-auth openclaw models auth login --provider qwen-portal --set-default ``` 模型引用： - `qwen-portal/coder-model` - `qwen-portal/vision-model` 参见 [/providers/qwen](/providers/qwen) 了解设置详情和注意事项。 ### Synthetic Synthetic 通过 `synthetic` 提供商提供 Anthropic 兼容模型： - 提供商：`synthetic` - 认证：`SYNTHETIC\_API\_KEY` - 示例模型：`synthetic/hf:MiniMaxAI/MiniMax-M2.1` - CLI：`openclaw onboard --auth-choice synthetic-api-key` ```json5 { agents: { defaults: { model: { primary: "synthetic/hf:MiniMaxAI/MiniMax-M2.1" } }, }, models: { mode: "merge", providers: { synthetic: { baseUrl: "https://api.synthetic.new/anthropic", apiKey: "${SYNTHETIC\_API\_KEY}", api: "anthropic-messages", models: [{ id: "hf:MiniMaxAI/MiniMax-M2.1", name: "MiniMax M2.1" }], }, }, }, } ``` ### MiniMax MiniMax 通过 `models.providers` 配置，因为它使用自定义端点： - MiniMax（Anthropic 兼容）：`--auth-choice minimax-api` - 认证：`MINIMAX\_API\_KEY` 参见 [/providers/minimax](/providers/minimax) 了解设置详情、模型选项和配置片段。 ### Ollama Ollama 是提供 OpenAI 兼容 API 的本地 LLM 运行时： - 提供商：`ollama` - 认证：无需（本地服务器） - 示例模型：`ollama/llama3.3` - 安装：https://ollama.ai ```bash # Install Ollama, then pull a model: ollama pull llama3.3 ``` ```json5 { agents: { defaults: { model: { primary: "ollama/llama3.3" } }, }, } ``` 当 Ollama 在本地 `http://127.0.0.1:11434/v1` 运行时会自动检测。参见 [/providers/ollama](/providers/ollama) 了解模型推荐和自定义配置。 ### | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/model-providers.md | main | opebclaw | [
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] | 0.112052 |
是提供 OpenAI 兼容 API 的本地 LLM 运行时： - 提供商：`ollama` - 认证：无需（本地服务器） - 示例模型：`ollama/llama3.3` - 安装：https://ollama.ai ```bash # Install Ollama, then pull a model: ollama pull llama3.3 ``` ```json5 { agents: { defaults: { model: { primary: "ollama/llama3.3" } }, }, } ``` 当 Ollama 在本地 `http://127.0.0.1:11434/v1` 运行时会自动检测。参见 [/providers/ollama](/providers/ollama) 了解模型推荐和自定义配置。 ### 本地代理（LM Studio、vLLM、LiteLLM 等） 示例（OpenAI 兼容）： ```json5 { agents: { defaults: { model: { primary: "lmstudio/minimax-m2.1-gs32" }, models: { "lmstudio/minimax-m2.1-gs32": { alias: "Minimax" } }, }, }, models: { providers: { lmstudio: { baseUrl: "http://localhost:1234/v1", apiKey: "LMSTUDIO\_KEY", api: "openai-completions", models: [ { id: "minimax-m2.1-gs32", name: "MiniMax M2.1", reasoning: false, input: ["text"], cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 }, contextWindow: 200000, maxTokens: 8192, }, ], }, }, }, } ``` 注意事项： - 对于自定义提供商，`reasoning`、`input`、`cost`、`contextWindow` 和 `maxTokens` 是可选的。 省略时，OpenClaw 默认为： - `reasoning: false` - `input: ["text"]` - `cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 }` - `contextWindow: 200000` - `maxTokens: 8192` - 建议：设置与你的代理/模型限制匹配的显式值。 ## CLI 示例 ```bash openclaw onboard --auth-choice opencode-zen openclaw models set opencode/claude-opus-4-5 openclaw models list ``` 另请参阅：[/gateway/configuration](/gateway/configuration) 了解完整配置示例。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/model-providers.md | main | opebclaw | [
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# 输入指示器 在运行活跃期间，输入指示器会发送到聊天渠道。使用 `agents.defaults.typingMode` 控制输入指示器\*\*何时\*\*开始显示，使用 `typingIntervalSeconds` 控制\*\*刷新频率\*\*。 ## 默认行为 当 `agents.defaults.typingMode` \*\*未设置\*\*时，OpenClaw 保持旧版行为： - \*\*私聊\*\*：模型循环开始后立即显示输入指示器。 - \*\*群聊中被提及\*\*：立即显示输入指示器。 - \*\*群聊中未被提及\*\*：仅在消息文本开始流式传输时显示输入指示器。 - \*\*心跳运行\*\*：输入指示器禁用。 ## 模式 将 `agents.defaults.typingMode` 设置为以下值之一： - `never` — 永远不显示输入指示器。 - `instant` — \*\*模型循环开始后立即\*\*显示输入指示器，即使运行最终只返回静默回复令牌。 - `thinking` — 在\*\*第一个推理增量\*\*时开始显示输入指示器（需要运行时设置 `reasoningLevel: "stream"`）。 - `message` — 在\*\*第一个非静默文本增量\*\*时开始显示输入指示器（忽略 `NO\_REPLY` 静默令牌）。 触发时机从晚到早的顺序： `never` → `message` → `thinking` → `instant` ## 配置 ```json5 { agent: { typingMode: "thinking", typingIntervalSeconds: 6, }, } ``` 可以按会话覆盖模式或刷新频率： ```json5 { session: { typingMode: "message", typingIntervalSeconds: 4, }, } ``` ## 注意事项 - `message` 模式不会为纯静默回复显示输入指示器（例如用于抑制输出的 `NO\_REPLY` 令牌）。 - `thinking` 仅在运行流式传输推理时触发（`reasoningLevel: "stream"`）。 如果模型未产生推理增量，则不会显示输入指示器。 - 无论使用何种模式，心跳运行都不会显示输入指示器。 - `typingIntervalSeconds` 控制的是\*\*刷新频率\*\*，而非开始时间。 默认值为 6 秒。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/typing-indicators.md | main | opebclaw | [
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# 模型故障转移 OpenClaw 分两个阶段处理故障： 1. 在当前提供商内进行\*\*认证配置文件轮换\*\*。 2. \*\*模型回退\*\*到 `agents.defaults.model.fallbacks` 中的下一个模型。 本文档解释运行时规则及其背后的数据。 ## 认证存储（密钥 + OAuth） OpenClaw 对 API 密钥和 OAuth 令牌都使用\*\*认证配置文件\*\*。 - 密钥存储在 `~/.openclaw/agents//agent/auth-profiles.json`（旧版：`~/.openclaw/agent/auth-profiles.json`）。 - 配置 `auth.profiles` / `auth.order` \*\*仅用于元数据和路由\*\*（不含密钥）。 - 旧版仅导入 OAuth 文件：`~/.openclaw/credentials/oauth.json`（首次使用时导入到 `auth-profiles.json`）。 更多详情：[/concepts/oauth](/concepts/oauth) 凭证类型： - `type: "api\_key"` → `{ provider, key }` - `type: "oauth"` → `{ provider, access, refresh, expires, email? }`（某些提供商还有 `projectId`/`enterpriseUrl`） ## 配置文件 ID OAuth 登录创建不同的配置文件，以便多个账户可以共存。 - 默认：当没有电子邮件可用时为 `provider:default`。 - 带电子邮件的 OAuth：`provider:`（例如 `google-antigravity:user@gmail.com`）。 配置文件存储在 `~/.openclaw/agents//agent/auth-profiles.json` 的 `profiles` 下。 ## 轮换顺序 当一个提供商有多个配置文件时，OpenClaw 按以下顺序选择： 1. \*\*显式配置\*\*：`auth.order[provider]`（如果设置）。 2. \*\*已配置的配置文件\*\*：按提供商过滤的 `auth.profiles`。 3. \*\*已存储的配置文件\*\*：`auth-profiles.json` 中该提供商的条目。 如果没有配置显式顺序，OpenClaw 使用轮询顺序： - \*\*主键：\*\* 配置文件类型（\*\*OAuth 优先于 API 密钥\*\*）。 - \*\*次键：\*\* `usageStats.lastUsed`（每种类型中最旧的优先）。 - \*\*冷却/禁用的配置文件\*\*会移到末尾，按最早过期时间排序。 ### 会话粘性（缓存友好） OpenClaw \*\*为每个会话固定所选的认证配置文件\*\*以保持提供商缓存热度。它\*\*不会\*\*在每个请求时轮换。固定的配置文件会被重用直到： - 会话被重置（`/new` / `/reset`） - 压缩完成（压缩计数递增） - 配置文件处于冷却/禁用状态 通过 `/model …@` 手动选择会为该会话设置\*\*用户覆盖\*\*，在新会话开始之前不会自动轮换。 自动固定的配置文件（由会话路由器选择）被视为\*\*偏好\*\*：它们会优先尝试，但 OpenClaw 可能在速率限制/超时时轮换到另一个配置文件。用户固定的配置文件会锁定到该配置文件；如果失败且配置了模型回退，OpenClaw 会移动到下一个模型而不是切换配置文件。 ### 为什么 OAuth 可能"看起来丢失" 如果你为同一个提供商同时拥有 OAuth 配置文件和 API 密钥配置文件，除非固定，否则轮询可能在消息之间切换它们。要强制使用单个配置文件： - 使用 `auth.order[provider] = ["provider:profileId"]` 固定，或 - 通过 `/model …` 使用每会话覆盖并指定配置文件覆盖（当你的 UI/聊天界面支持时）。 ## 冷却时间 当配置文件因认证/速率限制错误（或看起来像速率限制的超时）而失败时，OpenClaw 将其标记为冷却状态并移动到下一个配置文件。格式/无效请求错误（例如 Cloud Code Assist 工具调用 ID 验证失败）被视为值得故障转移的情况，使用相同的冷却时间。 冷却时间使用指数退避： - 1 分钟 - 5 分钟 - 25 分钟 - 1 小时（上限） 状态存储在 `auth-profiles.json` 的 `usageStats` 下： ```json { "usageStats": { "provider:profile": { "lastUsed": 1736160000000, "cooldownUntil": 1736160600000, "errorCount": 2 } } } ``` ## 账单禁用 账单/额度失败（例如"insufficient credits"/"credit balance too low"）被视为值得故障转移的情况，但它们通常不是暂时性的。OpenClaw 不使用短冷却时间，而是将配置文件标记为\*\*禁用\*\*（使用更长的退避时间）并轮换到下一个配置文件/提供商。 状态存储在 `auth-profiles.json` 中： ```json { "usageStats": { "provider:profile": { "disabledUntil": 1736178000000, "disabledReason": "billing" } } } ``` 默认值： - 账单退避从 \*\*5 小时\*\*开始，每次账单失败翻倍，上限为 \*\*24 小时\*\*。 - 如果配置文件 \*\*24 小时\*\*内没有失败，退避计数器会重置（可配置）。 ## 模型回退 如果某个提供商的所有配置文件都失败，OpenClaw 会移动到 `agents.defaults.model.fallbacks` 中的下一个模型。这适用于认证失败、速率限制和耗尽配置文件轮换的超时（其他错误不会推进回退）。 当运行以模型覆盖（钩子或 CLI）开始时，在尝试任何配置的回退之后，回退仍会在 `agents.defaults.model.primary` 处结束。 ## 相关配置 参阅 [Gateway 网关配置](/gateway/configuration) 了解： - `auth.profiles` / `auth.order` - `auth.cooldowns.billingBackoffHours` / `auth.cooldowns.billingBackoffHoursByProvider` - `auth.cooldowns.billingMaxHours` / `auth.cooldowns.failureWindowHours` - `agents.defaults.model.primary` / `agents.defaults.model.fallbacks` - `agents.defaults.imageModel` 路由 参阅[模型](/concepts/models)了解更广泛的模型选择和回退概述。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/model-failover.md | main | opebclaw | [
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# 记忆 OpenClaw 记忆是\*\*智能体工作空间中的纯 Markdown 文件\*\*。这些文件是唯一的事实来源；模型只"记住"写入磁盘的内容。 记忆搜索工具由活动的记忆插件提供（默认：`memory-core`）。使用 `plugins.slots.memory = "none"` 禁用记忆插件。 ## 记忆文件（Markdown） 默认工作空间布局使用两个记忆层： - `memory/YYYY-MM-DD.md` - 每日日志（仅追加）。 - 在会话开始时读取今天和昨天的内容。 - `MEMORY.md`（可选） - 精心整理的长期记忆。 - \*\*仅在主要的私人会话中加载\*\*（绝不在群组上下文中加载）。 这些文件位于工作空间下（`agents.defaults.workspace`，默认 `~/.openclaw/workspace`）。完整布局参见[智能体工作空间](/concepts/agent-workspace)。 ## 何时写入记忆 - 决策、偏好和持久性事实写入 `MEMORY.md`。 - 日常笔记和运行上下文写入 `memory/YYYY-MM-DD.md`。 - 如果有人说"记住这个"，就写下来（不要只保存在内存中）。 - 这个领域仍在发展中。提醒模型存储记忆会有帮助；它会知道该怎么做。 - 如果你想让某些内容持久保存，\*\*请要求机器人将其写入\*\*记忆。 ## 自动记忆刷新（压缩前触发） 当会话\*\*接近自动压缩\*\*时，OpenClaw 会触发一个\*\*静默的智能体回合\*\*，提醒模型在上下文被压缩\*\*之前\*\*写入持久记忆。默认提示明确说明模型\*可以回复\*，但通常 `NO\_REPLY` 是正确的响应，因此用户永远不会看到这个回合。 这由 `agents.defaults.compaction.memoryFlush` 控制： ```json5 { agents: { defaults: { compaction: { reserveTokensFloor: 20000, memoryFlush: { enabled: true, softThresholdTokens: 4000, systemPrompt: "Session nearing compaction. Store durable memories now.", prompt: "Write any lasting notes to memory/YYYY-MM-DD.md; reply with NO\_REPLY if nothing to store.", }, }, }, }, } ``` 详情： - \*\*软阈值\*\*：当会话 token 估计超过 `contextWindow - reserveTokensFloor - softThresholdTokens` 时触发刷新。 - 默认\*\*静默\*\*：提示包含 `NO\_REPLY`，因此不会发送任何内容。 - \*\*两个提示\*\*：一个用户提示加一个系统提示附加提醒。 - \*\*每个压缩周期刷新一次\*\*（在 `sessions.json` 中跟踪）。 - \*\*工作空间必须可写\*\*：如果会话以 `workspaceAccess: "ro"` 或 `"none"` 在沙箱中运行，则跳过刷新。 完整的压缩生命周期参见[会话管理 + 压缩](/reference/session-management-compaction)。 ## 向量记忆搜索 OpenClaw 可以在 `MEMORY.md` 和 `memory/\*.md`（以及你选择加入的任何额外目录或文件）上构建小型向量索引，以便语义查询可以找到相关笔记，即使措辞不同。 默认值： - 默认启用。 - 监视记忆文件的更改（去抖动）。 - 默认使用远程嵌入。如果未设置 `memorySearch.provider`，OpenClaw 自动选择： 1. 如果配置了 `memorySearch.local.modelPath` 且文件存在，则使用 `local`。 2. 如果可以解析 OpenAI 密钥，则使用 `openai`。 3. 如果可以解析 Gemini 密钥，则使用 `gemini`。 4. 否则记忆搜索保持禁用状态直到配置完成。 - 本地模式使用 node-llama-cpp，可能需要运行 `pnpm approve-builds`。 - 使用 sqlite-vec（如果可用）在 SQLite 中加速向量搜索。 远程嵌入\*\*需要\*\*嵌入提供商的 API 密钥。OpenClaw 从身份验证配置文件、`models.providers.\*.apiKey` 或环境变量解析密钥。Codex OAuth 仅涵盖聊天/补全，\*\*不\*\*满足记忆搜索的嵌入需求。对于 Gemini，使用 `GEMINI\_API\_KEY` 或 `models.providers.google.apiKey`。使用自定义 OpenAI 兼容端点时，设置 `memorySearch.remote.apiKey`（以及可选的 `memorySearch.remote.headers`）。 ### 额外记忆路径 如果你想索引默认工作空间布局之外的 Markdown 文件，添加显式路径： ```json5 agents: { defaults: { memorySearch: { extraPaths: ["../team-docs", "/srv/shared-notes/overview.md"] } } } ``` 说明： - 路径可以是绝对路径或工作空间相对路径。 - 目录会递归扫描 `.md` 文件。 - 仅索引 Markdown 文件。 - 符号链接被忽略（文件或目录）。 ### Gemini 嵌入（原生） 将提供商设置为 `gemini` 以直接使用 Gemini 嵌入 API： ```json5 agents: { defaults: { memorySearch: { provider: "gemini", model: "gemini-embedding-001", remote: { apiKey: "YOUR\_GEMINI\_API\_KEY" } } } } ``` 说明： - `remote.baseUrl` 是可选的（默认为 Gemini API 基础 URL）。 - `remote.headers` 让你可以在需要时添加额外的标头。 - 默认模型：`gemini-embedding-001`。 如果你想使用\*\*自定义 OpenAI 兼容端点\*\*（OpenRouter、vLLM 或代理），可以使用 `remote` 配置与 OpenAI 提供商： ```json5 agents: { defaults: { memorySearch: { provider: "openai", model: "text-embedding-3-small", remote: { baseUrl: "https://api.example.com/v1/", apiKey: "YOUR\_OPENAI\_COMPAT\_API\_KEY", headers: { "X-Custom-Header": "value" } } } } } ``` 如果你不想设置 API 密钥，使用 `memorySearch.provider = "local"` 或设置 `memorySearch.fallback = "none"`。 回退： - `memorySearch.fallback` 可以是 `openai`、`gemini`、`local` 或 `none`。 - 回退提供商仅在主嵌入提供商失败时使用。 批量索引（OpenAI + Gemini）： - OpenAI 和 Gemini 嵌入默认启用。设置 `agents.defaults.memorySearch.remote.batch.enabled = false` 以禁用。 - 默认行为等待批处理完成；如果需要可以调整 `remote.batch.wait`、`remote.batch.pollIntervalMs` 和 `remote.batch.timeoutMinutes`。 - 设置 `remote.batch.concurrency` 以控制我们并行提交多少个批处理作业（默认：2）。 - 批处理模式在 `memorySearch.provider = "openai"` 或 `"gemini"` 时适用，并使用相应的 API 密钥。 - Gemini 批处理作业使用异步嵌入批处理端点，需要 Gemini Batch API 可用。 为什么 OpenAI 批处理快速又便宜： - 对于大型回填，OpenAI 通常是我们支持的最快选项，因为我们可以在单个批处理作业中提交许多嵌入请求，让 OpenAI 异步处理它们。 - OpenAI 为 Batch API 工作负载提供折扣定价，因此大型索引运行通常比同步发送相同请求更便宜。 - 详情参见 OpenAI Batch API 文档和定价： - https://platform.openai.com/docs/api-reference/batch - https://platform.openai.com/pricing 配置示例： ```json5 agents: { defaults: { memorySearch: { provider: "openai", model: "text-embedding-3-small", fallback: "openai", remote: { batch: { enabled: true, concurrency: 2 } }, sync: { watch: true } } } } ``` 工具： - `memory\_search` — 返回带有文件 + 行范围的片段。 - `memory\_get` — 按路径读取记忆文件内容。 本地模式： - 设置 `agents.defaults.memorySearch.provider = "local"`。 - 提供 `agents.defaults.memorySearch.local.modelPath`（GGUF 或 `hf:` URI）。 - 可选：设置 `agents.defaults.memorySearch.fallback = "none"` 以避免远程回退。 ### 记忆工具的工作原理 - `memory\_search` 从 `MEMORY.md` + `memory/\*\*/\*.md` 语义搜索 Markdown 块（目标约 400 个 token，80 个 token 重叠）。它返回片段文本（上限约 700 个字符）、文件路径、行范围、分数、提供商/模型，以及我们是否从本地回退到远程嵌入。不返回完整文件内容。 - `memory\_get` 读取特定的记忆 Markdown 文件（工作空间相对路径），可选从起始行开始读取 N 行。`MEMORY.md` / `memory/` 之外的路径仅在明确列在 `memorySearch.extraPaths` 中时才允许。 - 两个工具仅在智能体的 `memorySearch.enabled` 解析为 true 时启用。 ### 索引内容（及时机） - 文件类型：仅 Markdown（`MEMORY.md`、`memory/\*\*/\*.md`，以及 `memorySearch.extraPaths` 下的任何 `.md` 文件）。 - 索引存储：每个智能体的 SQLite 位于 `~/.openclaw/memory/.sqlite`（可通过 `agents.defaults.memorySearch.store.path` 配置，支持 `{agentId}` 令牌）。 - 新鲜度：监视器监视 `MEMORY.md`、`memory/` 和 `memorySearch.extraPaths`，标记索引为脏（去抖动 1.5 秒）。同步在会话开始时、搜索时或按间隔安排，并异步运行。会话记录使用增量阈值触发后台同步。 - 重新索引触发器：索引存储嵌入的\*\*提供商/模型 + 端点指纹 + 分块参数\*\*。如果其中任何一个发生变化，OpenClaw 会自动重置并重新索引整个存储。 ### 混合搜索（BM25 + 向量） 启用时，OpenClaw 结合： - \*\*向量相似度\*\*（语义匹配，措辞可以不同） - \*\*BM25 关键词相关性\*\*（精确令牌如 ID、环境变量、代码符号） 如果你的平台上全文搜索不可用，OpenClaw 会回退到纯向量搜索。 #### 为什么使用混合搜索？ 向量搜索擅长"这意味着同一件事"： - "Mac Studio gateway host" vs "运行 gateway 的机器" - "debounce file updates" vs "避免每次写入都索引" 但它在精确的高信号令牌上可能较弱： - ID（`a828e60`、`b3b9895a…`） - 代码符号（`memorySearch.query.hybrid`） - 错误字符串（"sqlite-vec unavailable"） BM25（全文）正好相反：擅长精确令牌，弱于释义。 混合搜索是务实的中间地带：\*\*同时使用两种检索信号\*\*，这样你可以在"自然语言"查询和"大海捞针"查询上都获得好结果。 #### 我们如何合并结果（当前设计） 实现概述： 1. 从双方检索候选池： - \*\*向量\*\*：按余弦相似度取前 `maxResults \* candidateMultiplier` 个。 - \*\*BM25\*\*：按 FTS5 BM25 排名取前 `maxResults \* candidateMultiplier` 个（越低越好）。 2. 将 BM25 排名转换为 0..1 范围的分数： - `textScore = 1 / (1 + max(0, bm25Rank))` 3. 按块 id 合并候选并计算加权分数： - `finalScore = vectorWeight \* vectorScore + textWeight \* textScore` 说明： - 在配置解析中 `vectorWeight` + | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/memory.md | main | opebclaw | [
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从双方检索候选池： - \*\*向量\*\*：按余弦相似度取前 `maxResults \* candidateMultiplier` 个。 - \*\*BM25\*\*：按 FTS5 BM25 排名取前 `maxResults \* candidateMultiplier` 个（越低越好）。 2. 将 BM25 排名转换为 0..1 范围的分数： - `textScore = 1 / (1 + max(0, bm25Rank))` 3. 按块 id 合并候选并计算加权分数： - `finalScore = vectorWeight \* vectorScore + textWeight \* textScore` 说明： - 在配置解析中 `vectorWeight` + `textWeight` 归一化为 1.0，因此权重表现为百分比。 - 如果嵌入不可用（或提供商返回零向量），我们仍然运行 BM25 并返回关键词匹配。 - 如果无法创建 FTS5，我们保持纯向量搜索（不会硬失败）。 这不是"IR 理论完美"的，但它简单、快速，并且往往能提高真实笔记的召回率/精确率。 如果我们以后想要更复杂的方案，常见的下一步是倒数排名融合（RRF）或在混合之前进行分数归一化（最小/最大或 z 分数）。 配置： ```json5 agents: { defaults: { memorySearch: { query: { hybrid: { enabled: true, vectorWeight: 0.7, textWeight: 0.3, candidateMultiplier: 4 } } } } } ``` ### 嵌入缓存 OpenClaw 可以在 SQLite 中缓存\*\*块嵌入\*\*，这样重新索引和频繁更新（特别是会话记录）不会重新嵌入未更改的文本。 配置： ```json5 agents: { defaults: { memorySearch: { cache: { enabled: true, maxEntries: 50000 } } } } ``` ### 会话记忆搜索（实验性） 你可以选择性地索引\*\*会话记录\*\*并通过 `memory\_search` 呈现它们。 这由实验性标志控制。 ```json5 agents: { defaults: { memorySearch: { experimental: { sessionMemory: true }, sources: ["memory", "sessions"] } } } ``` 说明： - 会话索引是\*\*选择加入\*\*的（默认关闭）。 - 会话更新被去抖动并在超过增量阈值后\*\*异步索引\*\*（尽力而为）。 - `memory\_search` 永远不会阻塞索引；在后台同步完成之前，结果可能略有延迟。 - 结果仍然只包含片段；`memory\_get` 仍然仅限于记忆文件。 - 会话索引按智能体隔离（仅索引该智能体的会话日志）。 - 会话日志存储在磁盘上（`~/.openclaw/agents//sessions/\*.jsonl`）。任何具有文件系统访问权限的进程/用户都可以读取它们，因此将磁盘访问视为信任边界。对于更严格的隔离，在单独的操作系统用户或主机下运行智能体。 增量阈值（显示默认值）： ```json5 agents: { defaults: { memorySearch: { sync: { sessions: { deltaBytes: 100000, // ~100 KB deltaMessages: 50 // JSONL 行数 } } } } } ``` ### SQLite 向量加速（sqlite-vec） 当 sqlite-vec 扩展可用时，OpenClaw 将嵌入存储在 SQLite 虚拟表（`vec0`）中，并在数据库中执行向量距离查询。这使搜索保持快速，无需将每个嵌入加载到 JS 中。 配置（可选）： ```json5 agents: { defaults: { memorySearch: { store: { vector: { enabled: true, extensionPath: "/path/to/sqlite-vec" } } } } } ``` 说明： - `enabled` 默认为 true；禁用时，搜索回退到对存储嵌入的进程内余弦相似度计算。 - 如果 sqlite-vec 扩展缺失或加载失败，OpenClaw 会记录错误并继续使用 JS 回退（无向量表）。 - `extensionPath` 覆盖捆绑的 sqlite-vec 路径（对于自定义构建或非标准安装位置很有用）。 ### 本地嵌入自动下载 - 默认本地嵌入模型：`hf:ggml-org/embeddinggemma-300M-GGUF/embeddinggemma-300M-Q8\_0.gguf`（约 0.6 GB）。 - 当 `memorySearch.provider = "local"` 时，`node-llama-cpp` 解析 `modelPath`；如果 GGUF 缺失，它会\*\*自动下载\*\*到缓存（或 `local.modelCacheDir`，如果已设置），然后加载它。下载在重试时会续传。 - 原生构建要求：运行 `pnpm approve-builds`，选择 `node-llama-cpp`，然后运行 `pnpm rebuild node-llama-cpp`。 - 回退：如果本地设置失败且 `memorySearch.fallback = "openai"`，我们自动切换到远程嵌入（`openai/text-embedding-3-small`，除非被覆盖）并记录原因。 ### 自定义 OpenAI 兼容端点示例 ```json5 agents: { defaults: { memorySearch: { provider: "openai", model: "text-embedding-3-small", remote: { baseUrl: "https://api.example.com/v1/", apiKey: "YOUR\_REMOTE\_API\_KEY", headers: { "X-Organization": "org-id", "X-Project": "project-id" } } } } } ``` 说明： - `remote.\*` 优先于 `models.providers.openai.\*`。 - `remote.headers` 与 OpenAI 标头合并；键冲突时 remote 优先。省略 `remote.headers` 以使用 OpenAI 默认值。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/memory.md | main | opebclaw | [
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# TypeBox 作为协议的事实来源 最后更新：2026-01-10 TypeBox 是一个 TypeScript 优先的模式库。我们用它来定义 \*\*Gateway 网关 WebSocket 协议\*\*（握手、请求/响应、服务器事件）。这些模式驱动\*\*运行时验证\*\*、\*\*JSON Schema 导出\*\*和 macOS 应用的 \*\*Swift 代码生成\*\*。一个事实来源；其他一切都是生成的。 如果你想了解更高层次的协议上下文，请从 [Gateway 网关架构](/concepts/architecture)开始。 ## 心智模型（30 秒） 每个 Gateway 网关 WS 消息都是以下三种帧之一： - \*\*Request\*\*：`{ type: "req", id, method, params }` - \*\*Response\*\*：`{ type: "res", id, ok, payload | error }` - \*\*Event\*\*：`{ type: "event", event, payload, seq?, stateVersion? }` 第一个帧\*\*必须\*\*是 `connect` 请求。之后，客户端可以调用方法（例如 `health`、`send`、`chat.send`）并订阅事件（例如 `presence`、`tick`、`agent`）。 连接流程（最小）： ``` Client Gateway |---- req:connect -------->| |<---- res:hello-ok --------| |<---- event:tick ----------| |---- req:health ---------->| |<---- res:health ----------| ``` 常用方法 + 事件： | 类别 | 示例 | 说明 | | ---- | --------------------------------------------------------- | ------------------------------- | | 核心 | `connect`、`health`、`status` | `connect` 必须是第一个 | | 消息 | `send`、`poll`、`agent`、`agent.wait` | 有副作用的需要 `idempotencyKey` | | 聊天 | `chat.history`、`chat.send`、`chat.abort`、`chat.inject` | WebChat 使用这些 | | 会话 | `sessions.list`、`sessions.patch`、`sessions.delete` | 会话管理 | | 节点 | `node.list`、`node.invoke`、`node.pair.\*` | Gateway 网关 WS + 节点操作 | | 事件 | `tick`、`presence`、`agent`、`chat`、`health`、`shutdown` | 服务器推送 | 权威列表在 `src/gateway/server.ts`（`METHODS`、`EVENTS`）中。 ## 模式所在位置 - 源码：`src/gateway/protocol/schema.ts` - 运行时验证器（AJV）：`src/gateway/protocol/index.ts` - 服务器握手 + 方法分发：`src/gateway/server.ts` - 节点客户端：`src/gateway/client.ts` - 生成的 JSON Schema：`dist/protocol.schema.json` - 生成的 Swift 模型：`apps/macos/Sources/OpenClawProtocol/GatewayModels.swift` ## 当前流程 - `pnpm protocol:gen` - 将 JSON Schema（draft‑07）写入 `dist/protocol.schema.json` - `pnpm protocol:gen:swift` - 生成 Swift Gateway 网关模型 - `pnpm protocol:check` - 运行两个生成器并验证输出已提交 ## 模式在运行时的使用方式 - \*\*服务器端\*\*：每个入站帧都用 AJV 验证。握手仅接受参数匹配 `ConnectParams` 的 `connect` 请求。 - \*\*客户端\*\*：JS 客户端在使用之前验证事件和响应帧。 - \*\*方法表面\*\*：Gateway 网关在 `hello-ok` 中公布支持的 `methods` 和 `events`。 ## 示例帧 Connect（第一条消息）： ```json { "type": "req", "id": "c1", "method": "connect", "params": { "minProtocol": 2, "maxProtocol": 2, "client": { "id": "openclaw-macos", "displayName": "macos", "version": "1.0.0", "platform": "macos 15.1", "mode": "ui", "instanceId": "A1B2" } } } ``` Hello-ok 响应： ```json { "type": "res", "id": "c1", "ok": true, "payload": { "type": "hello-ok", "protocol": 2, "server": { "version": "dev", "connId": "ws-1" }, "features": { "methods": ["health"], "events": ["tick"] }, "snapshot": { "presence": [], "health": {}, "stateVersion": { "presence": 0, "health": 0 }, "uptimeMs": 0 }, "policy": { "maxPayload": 1048576, "maxBufferedBytes": 1048576, "tickIntervalMs": 30000 } } } ``` 请求 + 响应： ```json { "type": "req", "id": "r1", "method": "health" } ``` ```json { "type": "res", "id": "r1", "ok": true, "payload": { "ok": true } } ``` 事件： ```json { "type": "event", "event": "tick", "payload": { "ts": 1730000000 }, "seq": 12 } ``` ## 最小客户端（Node.js） 最小可用流程：connect + health。 ```ts import { WebSocket } from "ws"; const ws = new WebSocket("ws://127.0.0.1:18789"); ws.on("open", () => { ws.send( JSON.stringify({ type: "req", id: "c1", method: "connect", params: { minProtocol: 3, maxProtocol: 3, client: { id: "cli", displayName: "example", version: "dev", platform: "node", mode: "cli", }, }, }), ); }); ws.on("message", (data) => { const msg = JSON.parse(String(data)); if (msg.type === "res" && msg.id === "c1" && msg.ok) { ws.send(JSON.stringify({ type: "req", id: "h1", method: "health" })); } if (msg.type === "res" && msg.id === "h1") { console.log("health:", msg.payload); ws.close(); } }); ``` ## 实践示例：端到端添加方法 示例：添加一个新的 `system.echo` 请求，返回 `{ ok: true, text }`。 1. \*\*模式（事实来源）\*\* 添加到 `src/gateway/protocol/schema.ts`： ```ts export const SystemEchoParamsSchema = Type.Object( { text: NonEmptyString }, { additionalProperties: false }, ); export const SystemEchoResultSchema = Type.Object( { ok: Type.Boolean(), text: NonEmptyString }, { additionalProperties: false }, ); ``` 将两者添加到 `ProtocolSchemas` 并导出类型： ```ts SystemEchoParams: SystemEchoParamsSchema, SystemEchoResult: SystemEchoResultSchema, ``` ```ts export type SystemEchoParams = Static; export type SystemEchoResult = Static; ``` 2. \*\*验证\*\* 在 `src/gateway/protocol/index.ts` 中，导出一个 AJV 验证器： ```ts export const validateSystemEchoParams = ajv.compile(SystemEchoParamsSchema); ``` 3. \*\*服务器行为\*\* 在 `src/gateway/server-methods/system.ts` 中添加处理程序： ```ts export const systemHandlers: GatewayRequestHandlers = { "system.echo": ({ params, respond }) => { const text = String(params.text ?? ""); respond(true, { ok: true, text }); }, }; ``` 在 `src/gateway/server-methods.ts` 中注册（已合并 `systemHandlers`），然后将 `"system.echo"` 添加到 `src/gateway/server.ts` 中的 `METHODS`。 4. \*\*重新生成\*\* ```bash pnpm protocol:check ``` 5. \*\*测试 + 文档\*\* 在 `src/gateway/server.\*.test.ts` 中添加服务器测试，并在文档中记录该方法。 ## Swift 代码生成行为 Swift 生成器输出： - 带有 `req`、`res`、`event` 和 `unknown` 情况的 `GatewayFrame` 枚举 - 强类型的 payload 结构体/枚举 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/typebox.md | main | opebclaw | [
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?? ""); respond(true, { ok: true, text }); }, }; ``` 在 `src/gateway/server-methods.ts` 中注册（已合并 `systemHandlers`），然后将 `"system.echo"` 添加到 `src/gateway/server.ts` 中的 `METHODS`。 4. \*\*重新生成\*\* ```bash pnpm protocol:check ``` 5. \*\*测试 + 文档\*\* 在 `src/gateway/server.\*.test.ts` 中添加服务器测试，并在文档中记录该方法。 ## Swift 代码生成行为 Swift 生成器输出： - 带有 `req`、`res`、`event` 和 `unknown` 情况的 `GatewayFrame` 枚举 - 强类型的 payload 结构体/枚举 - `ErrorCode` 值和 `GATEWAY\_PROTOCOL\_VERSION` 未知的帧类型保留为原始 payload 以实现向前兼容。 ## 版本控制 + 兼容性 - `PROTOCOL\_VERSION` 在 `src/gateway/protocol/schema.ts` 中。 - 客户端发送 `minProtocol` + `maxProtocol`；服务器拒绝不匹配的。 - Swift 模型保留未知帧类型以避免破坏旧客户端。 ## 模式模式和约定 - 大多数对象使用 `additionalProperties: false` 以实现严格的 payload。 - `NonEmptyString` 是 ID 和方法/事件名称的默认值。 - 顶层 `GatewayFrame` 在 `type` 上使用\*\*鉴别器\*\*。 - 有副作用的方法通常需要在 params 中包含 `idempotencyKey`（示例：`send`、`poll`、`agent`、`chat.send`）。 ## 实时 schema JSON 生成的 JSON Schema 在仓库的 `dist/protocol.schema.json` 中。发布的原始文件通常可在以下位置获取： - https://raw.githubusercontent.com/openclaw/openclaw/main/dist/protocol.schema.json ## 当你更改模式时 1. 更新 TypeBox 模式。 2. 运行 `pnpm protocol:check`。 3. 提交重新生成的 schema + Swift 模型。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/typebox.md | main | opebclaw | [
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# 模型 CLI 参见 [/concepts/model-failover](/concepts/model-failover) 了解认证配置文件轮换、冷却时间及其与回退的交互。 快速提供商概述 + 示例：[/concepts/model-providers](/concepts/model-providers)。 ## 模型选择工作原理 OpenClaw 按以下顺序选择模型： 1. \*\*主要\*\*模型（`agents.defaults.model.primary` 或 `agents.defaults.model`）。 2. `agents.defaults.model.fallbacks` 中的\*\*回退\*\*（按顺序）。 3. \*\*提供商认证故障转移\*\*在移动到下一个模型之前在提供商内部发生。 相关： - `agents.defaults.models` 是 OpenClaw 可使用的模型白名单/目录（加上别名）。 - `agents.defaults.imageModel` \*\*仅在\*\*主要模型无法接受图像时使用。 - 每个智能体的默认值可以通过 `agents.list[].model` 加绑定覆盖 `agents.defaults.model`（参见 [/concepts/multi-agent](/concepts/multi-agent)）。 ## 快速模型推荐（经验之谈） - \*\*GLM\*\*：在编程/工具调用方面稍好。 - \*\*MiniMax\*\*：在写作和氛围方面更好。 ## 设置向导（推荐） 如果你不想手动编辑配置，请运行新手引导向导： ```bash openclaw onboard ``` 它可以为常见提供商设置模型 + 认证，包括 \*\*OpenAI Code（Codex）订阅\*\*（OAuth）和 \*\*Anthropic\*\*（推荐使用 API 密钥；也支持 `claude setup-token`）。 ## 配置键（概述） - `agents.defaults.model.primary` 和 `agents.defaults.model.fallbacks` - `agents.defaults.imageModel.primary` 和 `agents.defaults.imageModel.fallbacks` - `agents.defaults.models`（白名单 + 别名 + 提供商参数） - `models.providers`（写入 `models.json` 的自定义提供商） 模型引用会规范化为小写。提供商别名如 `z.ai/\*` 会规范化为 `zai/\*`。 提供商配置示例（包括 OpenCode Zen）在 [/gateway/configuration](/gateway/configuration#opencode-zen-multi-model-proxy)。 ## "Model is not allowed"（以及为什么回复停止） 如果设置了 `agents.defaults.models`，它将成为 `/model` 和会话覆盖的\*\*白名单\*\*。当用户选择不在该白名单中的模型时，OpenClaw 返回： ``` Model "provider/model" is not allowed. Use /model to list available models. ``` 这发生在正常回复生成\*\*之前\*\*，所以消息可能感觉像"没有响应"。修复方法是： - 将模型添加到 `agents.defaults.models`，或 - 清除白名单（删除 `agents.defaults.models`），或 - 从 `/model list` 中选择一个模型。 白名单配置示例： ```json5 { agent: { model: { primary: "anthropic/claude-sonnet-4-5" }, models: { "anthropic/claude-sonnet-4-5": { alias: "Sonnet" }, "anthropic/claude-opus-4-5": { alias: "Opus" }, }, }, } ``` ## 在聊天中切换模型（`/model`） 你可以在不重启的情况下切换当前会话的模型： ``` /model /model list /model 3 /model openai/gpt-5.2 /model status ``` 注意事项： - `/model`（和 `/model list`）是紧凑的编号选择器（模型系列 + 可用提供商）。 - `/model <#>` 从该选择器中选择。 - `/model status` 是详细视图（认证候选项，以及配置时的提供商端点 `baseUrl` + `api` 模式）。 - 模型引用通过在\*\*第一个\*\* `/` 处分割来解析。输入 `/model ` 时使用 `provider/model`。 - 如果模型 ID 本身包含 `/`（OpenRouter 风格），你必须包含提供商前缀（例如：`/model openrouter/moonshotai/kimi-k2`）。 - 如果省略提供商，OpenClaw 将输入视为别名或\*\*默认提供商\*\*的模型（仅在模型 ID 中没有 `/` 时有效）。 完整命令行为/配置：[斜杠命令](/tools/slash-commands)。 ## CLI 命令 ```bash openclaw models list openclaw models status openclaw models set openclaw models set-image openclaw models aliases list openclaw models aliases add openclaw models aliases remove openclaw models fallbacks list openclaw models fallbacks add openclaw models fallbacks remove openclaw models fallbacks clear openclaw models image-fallbacks list openclaw models image-fallbacks add openclaw models image-fallbacks remove openclaw models image-fallbacks clear ``` `openclaw models`（无子命令）是 `models status` 的快捷方式。 ### `models list` 默认显示已配置的模型。有用的标志： - `--all`：完整目录 - `--local`：仅本地提供商 - `--provider `：按提供商筛选 - `--plain`：每行一个模型 - `--json`：机器可读输出 ### `models status` 显示已解析的主要模型、回退、图像模型，以及已配置提供商的认证概述。它还显示认证存储中找到的配置文件的 OAuth 过期状态（默认在 24 小时内警告）。`--plain` 仅打印已解析的主要模型。 OAuth 状态始终显示（并包含在 `--json` 输出中）。如果已配置的提供商没有凭证，`models status` 会打印 \*\*Missing auth\*\* 部分。 JSON 包括 `auth.oauth`（警告窗口 + 配置文件）和 `auth.providers`（每个提供商的有效认证）。 使用 `--check` 进行自动化（缺失/过期时退出 `1`，即将过期时退出 `2`）。 首选的 Anthropic 认证是 Claude Code CLI setup-token（在任何地方运行；如需要在 Gateway 网关主机上粘贴）： ```bash claude setup-token openclaw models status ``` ## 扫描（OpenRouter 免费模型） `openclaw models scan` 检查 OpenRouter 的\*\*免费模型目录\*\*，并可选择性地探测模型的工具和图像支持。 关键标志： - `--no-probe`：跳过实时探测（仅元数据） - `--min-params **`：最小参数量（十亿） - `--max-age-days `：跳过较旧的模型 - `--provider `：提供商前缀筛选 - `--max-candidates `：回退列表大小 - `--set-default`：将 `agents.defaults.model.primary` 设置为第一个选择 - `--set-image`：将 `agents.defaults.imageModel.primary` 设置为第一个图像选择 探测需要 OpenRouter API 密钥（来自认证配置文件或 `OPENROUTER\_API\_KEY`）。没有密钥时，使用 `--no-probe` 仅列出候选项。 扫描结果按以下顺序排名： 1. 图像支持 2. 工具延迟 3. 上下文大小 4. 参数数量 输入 - OpenRouter `/models` 列表（筛选 `:free`） - 需要来自认证配置文件或 `OPENROUTER\_API\_KEY` 的 OpenRouter API 密钥（参见 [/environment](/environment)） - 可选筛选器：`--max-age-days`、`--min-params`、`--provider`、`--max-candidates` - 探测控制：`--timeout`、`--concurrency` 在 TTY 中运行时，你可以交互式选择回退。在非交互模式下，传递 `--yes` 接受默认值。 ## 模型注册表（`models.json`） `models.providers` 中的自定义提供商会写入智能体目录下的 `models.json`（默认 `~/.openclaw/agents//models.json`）。除非 `models.mode` 设置为 `replace`，否则此文件默认会被合并。** | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/models.md | main | opebclaw | [
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# 智能体循环（OpenClaw） 智能体循环是智能体的完整"真实"运行：接收 → 上下文组装 → 模型推理 → 工具执行 → 流式回复 → 持久化。这是将消息转化为操作和最终回复的权威路径，同时保持会话状态的一致性。 在 OpenClaw 中，循环是每个会话的单次序列化运行，在模型思考、调用工具和流式输出时发出生命周期和流事件。本文档解释了这个真实循环是如何端到端连接的。 ## 入口点 - Gateway 网关 RPC：`agent` 和 `agent.wait`。 - CLI：`agent` 命令。 ## 工作原理（高层次） 1. `agent` RPC 验证参数，解析会话（sessionKey/sessionId），持久化会话元数据，立即返回 `{ runId, acceptedAt }`。 2. `agentCommand` 运行智能体： - 解析模型 + 思考/详细模式默认值 - 加载 Skills 快照 - 调用 `runEmbeddedPiAgent`（pi-agent-core 运行时） - 如果嵌入式循环未发出\*\*生命周期结束/错误\*\*事件，则发出该事件 3. `runEmbeddedPiAgent`： - 通过每会话 + 全局队列序列化运行 - 解析模型 + 认证配置文件并构建 pi 会话 - 订阅 pi 事件并流式传输助手/工具增量 - 强制执行超时 -> 超时则中止运行 - 返回有效负载 + 使用元数据 4. `subscribeEmbeddedPiSession` 将 pi-agent-core 事件桥接到 OpenClaw `agent` 流： - 工具事件 => `stream: "tool"` - 助手增量 => `stream: "assistant"` - 生命周期事件 => `stream: "lifecycle"`（`phase: "start" | "end" | "error"`） 5. `agent.wait` 使用 `waitForAgentJob`： - 等待 `runId` 的\*\*生命周期结束/错误\*\* - 返回 `{ status: ok|error|timeout, startedAt, endedAt, error? }` ## 队列 + 并发 - 运行按会话键（会话通道）序列化，可选择通过全局通道。 - 这可以防止工具/会话竞争并保持会话历史的一致性。 - 消息渠道可以选择队列模式（collect/steer/followup）来馈送此通道系统。参见[命令队列](/concepts/queue)。 ## 会话 + 工作区准备 - 解析并创建工作区；沙箱隔离运行可能会重定向到沙箱工作区根目录。 - 加载 Skills（或从快照中复用）并注入到环境和提示中。 - 解析引导/上下文文件并注入到系统提示报告中。 - 获取会话写锁；在流式传输之前打开并准备 `SessionManager`。 ## 提示组装 + 系统提示 - 系统提示由 OpenClaw 的基础提示、Skills 提示、引导上下文和每次运行的覆盖构建。 - 强制执行模型特定的限制和压缩保留令牌。 - 参见[系统提示](/concepts/system-prompt)了解模型看到的内容。 ## 钩子点（可以拦截的位置） OpenClaw 有两个钩子系统： - \*\*内部钩子\*\*（Gateway 网关钩子）：用于命令和生命周期事件的事件驱动脚本。 - \*\*插件钩子\*\*：智能体/工具生命周期和 Gateway 网关管道中的扩展点。 ### 内部钩子（Gateway 网关钩子） - \*\*`agent:bootstrap`\*\*：在系统提示最终确定之前构建引导文件时运行。用于添加/删除引导上下文文件。 - \*\*命令钩子\*\*：`/new`、`/reset`、`/stop` 和其他命令事件（参见钩子文档）。 参见[钩子](/hooks)了解设置和示例。 ### 插件钩子（智能体 + Gateway 网关生命周期） 这些在智能体循环或 Gateway 网关管道内运行： - \*\*`before\_agent\_start`\*\*：在运行开始前注入上下文或覆盖系统提示。 - \*\*`agent\_end`\*\*：在完成后检查最终消息列表和运行元数据。 - \*\*`before\_compaction` / `after\_compaction`\*\*：观察或注释压缩周期。 - \*\*`before\_tool\_call` / `after\_tool\_call`\*\*：拦截工具参数/结果。 - \*\*`tool\_result\_persist`\*\*：在工具结果写入会话记录之前同步转换它们。 - \*\*`message\_received` / `message\_sending` / `message\_sent`\*\*：入站 + 出站消息钩子。 - \*\*`session\_start` / `session\_end`\*\*：会话生命周期边界。 - \*\*`gateway\_start` / `gateway\_stop`\*\*：Gateway 网关生命周期事件。 参见[插件](/plugin#plugin-hooks)了解钩子 API 和注册详情。 ## 流式传输 + 部分回复 - 助手增量从 pi-agent-core 流式传输并作为 `assistant` 事件发出。 - 分块流式传输可以在 `text\_end` 或 `message\_end` 时发出部分回复。 - 推理流式传输可以作为单独的流或作为块回复发出。 - 参见[流式传输](/concepts/streaming)了解分块和块回复行为。 ## 工具执行 + 消息工具 - 工具开始/更新/结束事件在 `tool` 流上发出。 - 工具结果在记录/发出之前会对大小和图像有效负载进行清理。 - 消息工具发送会被跟踪以抑制重复的助手确认。 ## 回复整形 + 抑制 - 最终有效负载由以下内容组装： - 助手文本（和可选的推理） - 内联工具摘要（当详细模式 + 允许时） - 模型出错时的助手错误文本 - `NO\_REPLY` 被视为静默令牌，从出站有效负载中过滤。 - 消息工具重复项从最终有效负载列表中移除。 - 如果没有剩余可渲染的有效负载且工具出错，则发出回退工具错误回复（除非消息工具已经发送了用户可见的回复）。 ## 压缩 + 重试 - 自动压缩发出 `compaction` 流事件，可以触发重试。 - 重试时，内存缓冲区和工具摘要会重置以避免重复输出。 - 参见[压缩](/concepts/compaction)了解压缩管道。 ## 事件流（当前） - `lifecycle`：由 `subscribeEmbeddedPiSession` 发出（以及作为 `agentCommand` 的回退） - `assistant`：从 pi-agent-core 流式传输的增量 - `tool`：从 pi-agent-core 流式传输的工具事件 ## 聊天渠道处理 - 助手增量被缓冲到聊天 `delta` 消息中。 - 在\*\*生命周期结束/错误\*\*时发出聊天 `final`。 ## 超时 - `agent.wait` 默认：30 秒（仅等待）。`timeoutMs` 参数可覆盖。 - 智能体运行时：`agents.defaults.timeoutSeconds` 默认 600 秒；在 `runEmbeddedPiAgent` 中止计时器中强制执行。 ## 可能提前结束的情况 - 智能体超时（中止） - AbortSignal（取消） - Gateway 网关断开连接或 RPC 超时 - `agent.wait` 超时（仅等待，不会停止智能体） | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/agent-loop.md | main | opebclaw | [
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# Markdown 格式化 OpenClaw 通过将出站 Markdown 转换为共享的中间表示（IR），然后再渲染为特定渠道的输出来进行格式化。IR 保留源文本不变，同时携带样式/链接跨度信息，使分块和渲染在各渠道间保持一致。 ## 目标 - \*\*一致性：\*\*一次解析，多个渲染器。 - \*\*安全分块：\*\*在渲染前拆分文本，确保行内格式不会跨块断裂。 - \*\*渠道适配：\*\*将同一 IR 映射到 Slack mrkdwn、Telegram HTML 和 Signal 样式范围，无需重新解析 Markdown。 ## 管道 1. \*\*解析 Markdown -> IR\*\* - IR 是纯文本加上样式跨度（粗体/斜体/删除线/代码/剧透）和链接跨度。 - 偏移量使用 UTF-16 代码单元，以便 Signal 样式范围与其 API 对齐。 - 仅当渠道启用了表格转换时才会解析表格。 2. \*\*分块 IR（格式优先）\*\* - 分块在渲染前对 IR 文本进行操作。 - 行内格式不会跨块拆分；跨度按块进行切片。 3. \*\*按渠道渲染\*\* - \*\*Slack：\*\* mrkdwn 标记（粗体/斜体/删除线/代码），链接格式为 ``。 - \*\*Telegram：\*\* HTML 标签（`**`、`*`、`~~`、````` `、` ``` `、``）。 - **Signal：** 纯文本 + `text-style` 范围；当标签与 URL 不同时，链接变为 `label (url)`。 ## IR 示例 输入 Markdown： ```markdown Hello **world** — see [docs](https://docs.openclaw.ai). ``` IR（示意）： ```json { "text": "Hello world — see docs.", "styles": [{ "start": 6, "end": 11, "style": "bold" }], "links": [{ "start": 19, "end": 23, "href": "https://docs.openclaw.ai" }] } ``` ## 使用场景 - Slack、Telegram 和 Signal 的出站适配器从 IR 进行渲染。 - 其他渠道（WhatsApp、iMessage、Microsoft Teams、Discord）仍使用纯文本或各自的格式化规则，启用时会在分块前应用 Markdown 表格转换。 ## 表格处理 Markdown 表格在各聊天客户端中的支持并不一致。使用 `markdown.tables` 按渠道（和按账户）控制转换方式。 - `code`：将表格渲染为代码块（大多数渠道的默认设置）。 - `bullets`：将每行转换为项目符号列表（Signal + WhatsApp 的默认设置）。 - `off`：禁用表格解析和转换；原始表格文本直接透传。 配置键： ```yaml channels: discord: markdown: tables: code accounts: work: markdown: tables: off ``` ## 分块规则 - 分块限制来自渠道适配器/配置，应用于 IR 文本。 - 代码围栏作为单个块保留，并带有尾部换行符，以确保渠道正确渲染。 - 列表前缀和引用块前缀是 IR 文本的一部分，因此分块不会在前缀中间拆分。 - 行内样式（粗体/斜体/删除线/行内代码/剧透）不会跨块拆分；渲染器会在每个块内重新打开样式。 如需了解更多跨渠道的分块行为，请参见[流式传输 + 分块](/concepts/streaming)。 ## 链接策略 - **Slack：** `[label](url)` -> ``；裸 URL 保持原样。解析时禁用自动链接以避免重复链接。 - **Telegram：** `[label](url)` -> `label`（HTML 解析模式）。 - **Signal：** `[label](url)` -> `label (url)`，除非标签与 URL 匹配。 ## 剧透 剧透标记（`||spoiler||`）仅为 Signal 解析，映射为 SPOILER 样式范围。其他渠道将其视为纯文本。 ## 如何添加或更新渠道格式化器 1. **解析一次：**使用共享的 `markdownToIR(...)` 辅助函数，传入适合渠道的选项（自动链接、标题样式、引用块前缀）。 2. **渲染：**使用 `renderMarkdownWithMarkers(...)` 和样式标记映射（或 Signal 样式范围）实现渲染器。 3. **分块：**在渲染前调用 `chunkMarkdownIR(...)`；逐块渲染。 4. **接入适配器：**更新渠道出站适配器以使用新的分块器和渲染器。 5. **测试：**添加或更新格式测试，如果渠道使用分块，还需添加出站投递测试。 ## 常见陷阱 - Slack 尖括号标记（`<@U123>`、`<#C123>`、``）必须保留；安全转义原始 HTML。 - Telegram HTML 要求对标签外的文本进行转义，以避免标记损坏。 - Signal 样式范围依赖 UTF-16 偏移量；不要使用码点偏移量。 - 保留代码围栏的尾部换行符，以确保闭合标记独占一行。 ``` ````~~*** | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/markdown-formatting.md | main | opebclaw | [
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# 会话工具 目标：小型、不易误用的工具集，使智能体能够列出会话、获取历史记录并向另一个会话发送消息。 ## 工具名称 - `sessions\_list` - `sessions\_history` - `sessions\_send` - `sessions\_spawn` ## 键模型 - 主直接聊天桶始终是字面键 `"main"`（解析为当前智能体的主键）。 - 群聊使用 `agent:::group:` 或 `agent:::channel:`（传递完整键）。 - 定时任务使用 `cron:`。 - Hooks 使用 `hook:`，除非明确设置。 - Node 会话使用 `node-`，除非明确设置。 `global` 和 `unknown` 是保留值，永远不会被列出。如果 `session.scope = "global"`，我们会将其别名为 `main` 用于所有工具，这样调用者永远不会看到 `global`。 ## sessions\_list 将会话列为行数组。 参数： - `kinds?: string[]` 过滤器：`"main" | "group" | "cron" | "hook" | "node" | "other"` 中的任意一个 - `limit?: number` 最大行数（默认：服务器默认值，限制如 200） - `activeMinutes?: number` 仅在 N 分钟内更新的会话 - `messageLimit?: number` 0 = 无消息（默认 0）；>0 = 包含最后 N 条消息 行为： - `messageLimit > 0` 获取每个会话的 `chat.history` 并包含最后 N 条消息。 - 工具结果在列表输出中被过滤；使用 `sessions\_history` 获取工具消息。 - 在\*\*沙箱隔离\*\*的智能体会话中运行时，会话工具默认为\*\*仅生成的可见性\*\*（见下文）。 行结构（JSON）： - `key`：会话键（字符串） - `kind`：`main | group | cron | hook | node | other` - `channel`：`whatsapp | telegram | discord | signal | imessage | webchat | internal | unknown` - `displayName`（如果可用的群组显示标签） - `updatedAt`（毫秒） - `sessionId` - `model`、`contextTokens`、`totalTokens` - `thinkingLevel`、`verboseLevel`、`systemSent`、`abortedLastRun` - `sendPolicy`（如果设置的会话覆盖） - `lastChannel`、`lastTo` - `deliveryContext`（可用时的规范化 `{ channel, to, accountId }`） - `transcriptPath`（从存储目录 + sessionId 派生的尽力路径） - `messages?`（仅当 `messageLimit > 0` 时） ## sessions\_history 获取一个会话的记录。 参数： - `sessionKey`（必填；接受会话键或来自 `sessions\_list` 的 `sessionId`） - `limit?: number` 最大消息数（服务器限制） - `includeTools?: boolean`（默认 false） 行为： - `includeTools=false` 过滤 `role: "toolResult"` 消息。 - 以原始记录格式返回消息数组。 - 当给定 `sessionId` 时，OpenClaw 将其解析为相应的会话键（缺失的 id 会报错）。 ## sessions\_send 向另一个会话发送消息。 参数： - `sessionKey`（必填；接受会话键或来自 `sessions\_list` 的 `sessionId`） - `message`（必填） - `timeoutSeconds?: number`（默认 >0；0 = 即发即忘） 行为： - `timeoutSeconds = 0`：入队并返回 `{ runId, status: "accepted" }`。 - `timeoutSeconds > 0`：等待最多 N 秒完成，然后返回 `{ runId, status: "ok", reply }`。 - 如果等待超时：`{ runId, status: "timeout", error }`。运行继续；稍后调用 `sessions\_history`。 - 如果运行失败：`{ runId, status: "error", error }`。 - 通告投递在主运行完成后运行，且为尽力而为；`status: "ok"` 不保证通告已投递。 - 通过 Gateway 网关 `agent.wait`（服务器端）等待，因此重连不会丢失等待。 - 智能体到智能体的消息上下文会为主运行注入。 - 主运行完成后，OpenClaw 运行\*\*回复循环\*\*： - 第 2 轮及以后在请求者和目标智能体之间交替。 - 精确回复 `REPLY\_SKIP` 以停止来回。 - 最大轮数为 `session.agentToAgent.maxPingPongTurns`（0–5，默认 5）。 - 循环结束后，OpenClaw 运行\*\*智能体到智能体通告步骤\*\*（仅目标智能体）： - 精确回复 `ANNOUNCE\_SKIP` 以保持静默。 - 任何其他回复都会发送到目标渠道。 - 通告步骤包括原始请求 + 第 1 轮回复 + 最新的来回回复。 ## Channel 字段 - 对于群组，`channel` 是会话条目上记录的渠道。 - 对于直接聊天，`channel` 从 `lastChannel` 映射。 - 对于 cron/hook/node，`channel` 是 `internal`。 - 如果缺失，`channel` 是 `unknown`。 ## 安全 / 发送策略 基于策略的按渠道/聊天类型阻止（不是按会话 id）。 ```json { "session": { "sendPolicy": { "rules": [ { "match": { "channel": "discord", "chatType": "group" }, "action": "deny" } ], "default": "allow" } } } ``` 运行时覆盖（按会话条目）： - `sendPolicy: "allow" | "deny"`（未设置 = 继承配置） - 可通过 `sessions.patch` 或仅所有者的 `/send on|off|inherit`（独立消息）设置。 执行点： - `chat.send` / `agent`（Gateway 网关） - 自动回复投递逻辑 ## sessions\_spawn 在隔离会话中生成子智能体运行，并将结果通告回请求者聊天渠道。 参数： - `task`（必填） - `label?`（可选；用于日志/UI） - `agentId?`（可选；如果允许，在另一个智能体 id 下生成） - `model?`（可选；覆盖子智能体模型；无效值会报错） - `runTimeoutSeconds?`（默认 0；设置时，在 N 秒后中止子智能体运行） - `cleanup?`（`delete|keep`，默认 `keep`） 允许列表： - `agents.list[].subagents.allowAgents`：通过 `agentId` 允许的智能体 id 列表（`["\*"]` 允许任意）。默认：仅请求者智能体。 发现： - 使用 `agents\_list` 发现哪些智能体 id 允许用于 `sessions\_spawn`。 行为： - 使用 `deliver: false` 启动新的 `agent::subagent:` 会话。 - 子智能体默认使用完整工具集\*\*减去会话工具\*\*（可通过 `tools.subagents.tools` 配置）。 - 子智能体不允许调用 `sessions\_spawn`（无子智能体 → 子智能体生成）。 - 始终非阻塞：立即返回 `{ status: "accepted", runId, childSessionKey }`。 - 完成后，OpenClaw 运行子智能体\*\*通告步骤\*\*并将结果发布到请求者聊天渠道。 - 在通告步骤中精确回复 `ANNOUNCE\_SKIP` 以保持静默。 - 通告回复规范化为 `Status`/`Result`/`Notes`；`Status` 来自运行时结果（不是模型文本）。 - 子智能体会话在 `agents.defaults.subagents.archiveAfterMinutes` 后自动归档（默认：60）。 - 通告回复包含统计行（运行时间、token 数、sessionKey/sessionId、记录路径和可选成本）。 ## 沙箱会话可见性 沙箱隔离的会话可以使用会话工具，但默认情况下它们只能看到通过 `sessions\_spawn` 生成的会话。 配置： ```json5 { agents: { defaults: { sandbox: { // 默认："spawned" sessionToolsVisibility: "spawned", // 或 "all" }, }, }, } ``` | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/session-tool.md | main | opebclaw | [
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# 命令队列（2026-01-16） 我们通过一个小型进程内队列序列化入站自动回复运行（所有渠道），以防止多个智能体运行发生冲突，同时仍允许跨会话的安全并行。 ## 为什么需要 - 自动回复运行可能开销很大（LLM 调用），当多条入站消息接近同时到达时可能发生冲突。 - 序列化可以避免竞争共享资源（会话文件、日志、CLI stdin），并降低上游速率限制的可能性。 ## 工作原理 - 一个支持通道感知的 FIFO 队列以可配置的并发上限排空每个通道（未配置的通道默认为 1；main 默认为 4，subagent 为 8）。 - `runEmbeddedPiAgent` 按\*\*会话键\*\*入队（通道 `session:`），以保证每个会话只有一个活动运行。 - 然后每个会话运行被排入\*\*全局通道\*\*（默认为 `main`），因此整体并行度受 `agents.defaults.maxConcurrent` 限制。 - 启用详细日志时，如果排队运行在开始前等待超过约 2 秒，会发出简短通知。 - 输入指示器仍在入队时立即触发（当渠道支持时），因此在等待轮次时用户体验不受影响。 ## 队列模式（按渠道） 入站消息可以引导当前运行、等待后续轮次，或两者兼顾： - `steer`：立即注入当前运行（在下一个工具边界后取消待处理的工具调用）。如果未在流式传输，则回退到 followup。 - `followup`：在当前运行结束后为下一个智能体轮次入队。 - `collect`：将所有排队消息合并为\*\*单个\*\*后续轮次（默认）。如果消息针对不同的渠道/线程，它们会单独排空以保留路由。 - `steer-backlog`（又名 `steer+backlog`）：现在引导\*\*并\*\*保留消息用于后续轮次。 - `interrupt`（旧版）：中止该会话的活动运行，然后运行最新消息。 - `queue`（旧版别名）：与 `steer` 相同。 steer-backlog 意味着你可以在被引导的运行之后获得后续响应，因此流式传输界面可能看起来像重复。如果你希望每条入站消息只有一个响应，请优先使用 `collect`/`steer`。 发送 `/queue collect` 作为独立命令（按会话）或设置 `messages.queue.byChannel.discord: "collect"`。 默认值（配置中未设置时）： - 所有界面 → `collect` 通过 `messages.queue` 全局或按渠道配置： ```json5 { messages: { queue: { mode: "collect", debounceMs: 1000, cap: 20, drop: "summarize", byChannel: { discord: "collect" }, }, }, } ``` ## 队列选项 选项适用于 `followup`、`collect` 和 `steer-backlog`（以及当 `steer` 回退到 followup 时）： - `debounceMs`：在开始后续轮次前等待静默（防止"继续，继续"）。 - `cap`：每个会话的最大排队消息数。 - `drop`：溢出策略（`old`、`new`、`summarize`）。 summarize 保留被丢弃消息的简短要点列表，并将其作为合成的后续提示注入。 默认值：`debounceMs: 1000`、`cap: 20`、`drop: summarize`。 ## 按会话覆盖 - 发送 `/queue ` 作为独立命令，为当前会话存储该模式。 - 选项可以组合：`/queue collect debounce:2s cap:25 drop:summarize` - `/queue default` 或 `/queue reset` 清除会话覆盖。 ## 范围和保证 - 适用于所有使用 Gateway 网关回复管道的入站渠道的自动回复智能体运行（WhatsApp 网页版、Telegram、Slack、Discord、Signal、iMessage、网页聊天等）。 - 默认通道（`main`）对入站 + 主心跳是进程范围的；设置 `agents.defaults.maxConcurrent` 以允许多个会话并行。 - 可能存在额外的通道（例如 `cron`、`subagent`），以便后台任务可以并行运行而不阻塞入站回复。 - 按会话通道保证一次只有一个智能体运行触及给定会话。 - 无外部依赖或后台工作线程；纯 TypeScript + promises。 ## 故障排除 - 如果命令似乎卡住，启用详细日志并查找"queued for …ms"行以确认队列正在排空。 - 如果你需要查看队列深度，启用详细日志并观察队列计时行。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/queue.md | main | opebclaw | [
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## 亮点 通过单个 Gateway 网关支持 WhatsApp、Telegram、Discord 和 iMessage。 通过扩展添加 Mattermost 等更多平台。 多智能体路由，支持隔离会话。 支持图片、音频和文档的收发。 Web 控制界面和 macOS 配套应用。 iOS 和 Android 节点，支持 Canvas。 ## 完整列表 - 通过 WhatsApp Web（Baileys）集成 WhatsApp - Telegram 机器人支持（grammY） - Discord 机器人支持（channels.discord.js） - Mattermost 机器人支持（插件） - 通过本地 imsg CLI 集成 iMessage（macOS） - Pi 的智能体桥接，支持 RPC 模式和工具流式传输 - 长响应的流式传输和分块处理 - 多智能体路由，按工作区或发送者隔离会话 - 通过 OAuth 进行 Anthropic 和 OpenAI 的订阅认证 - 会话：私信合并为共享的 `main`；群组相互隔离 - 群聊支持，通过提及激活 - 图片、音频和文档的媒体支持 - 可选的语音消息转录钩子 - WebChat 和 macOS 菜单栏应用 - iOS 节点，支持配对和 Canvas 界面 - Android 节点，支持配对、Canvas、聊天和相机 旧版 Claude、Codex、Gemini 和 Opencode 路径已被移除。Pi 是唯一的编程智能体路径。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/features.md | main | opebclaw | [
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# 会话管理 OpenClaw 将\*\*每个智能体的一个直接聊天会话\*\*视为主会话。直接聊天折叠为 `agent::`（默认 `main`），而群组/频道聊天获得各自的键。`session.mainKey` 会被遵循。 使用 `session.dmScope` 控制\*\*私信\*\*如何分组： - `main`（默认）：所有私信共享主会话以保持连续性。 - `per-peer`：跨渠道按发送者 ID 隔离。 - `per-channel-peer`：按渠道 + 发送者隔离（推荐用于多用户收件箱）。 - `per-account-channel-peer`：按账户 + 渠道 + 发送者隔离（推荐用于多账户收件箱）。 使用 `session.identityLinks` 将带提供商前缀的对等 ID 映射到规范身份，这样在使用 `per-peer`、`per-channel-peer` 或 `per-account-channel-peer` 时，同一个人可以跨渠道共享私信会话。 ## Gateway 网关是唯一数据源 所有会话状态都\*\*由 Gateway 网关拥有\*\*（"主" OpenClaw）。UI 客户端（macOS 应用、WebChat 等）必须向 Gateway 网关查询会话列表和令牌计数，而不是读取本地文件。 - 在\*\*远程模式\*\*下，你关心的会话存储位于远程 Gateway 网关主机上，而不是你的 Mac 上。 - UI 中显示的令牌计数来自 Gateway 网关的存储字段（`inputTokens`、`outputTokens`、`totalTokens`、`contextTokens`）。客户端不会解析 JSONL 对话记录来"修正"总数。 ## 状态存储位置 - 在 \*\*Gateway 网关主机\*\*上： - 存储文件：`~/.openclaw/agents//sessions/sessions.json`（每个智能体）。 - 对话记录：`~/.openclaw/agents//sessions/.jsonl`（Telegram 话题会话使用 `.../-topic-.jsonl`）。 - 存储是一个映射 `sessionKey -> { sessionId, updatedAt, ... }`。删除条目是安全的；它们会按需重新创建。 - 群组条目可能包含 `displayName`、`channel`、`subject`、`room` 和 `space` 以在 UI 中标记会话。 - 会话条目包含 `origin` 元数据（标签 + 路由提示），以便 UI 可以解释会话的来源。 - OpenClaw \*\*不\*\*读取旧版 Pi/Tau 会话文件夹。 ## 会话修剪 默认情况下，OpenClaw 在 LLM 调用之前从内存上下文中修剪\*\*旧的工具结果\*\*。 这\*\*不会\*\*重写 JSONL 历史记录。参见 [/concepts/session-pruning](/concepts/session-pruning)。 ## 压缩前记忆刷新 当会话接近自动压缩时，OpenClaw 可以运行一个\*\*静默记忆刷新\*\*轮次，提醒模型将持久性笔记写入磁盘。这仅在工作区可写时运行。参见[记忆](/concepts/memory)和[压缩](/concepts/compaction)。 ## 传输到会话键的映射 - 直接聊天遵循 `session.dmScope`（默认 `main`）。 - `main`：`agent::`（跨设备/渠道的连续性）。 - 多个电话号码和渠道可以映射到同一个智能体主键；它们作为进入同一个对话的传输通道。 - `per-peer`：`agent::dm:`。 - `per-channel-peer`：`agent:::dm:`。 - `per-account-channel-peer`：`agent::::dm:`（accountId 默认为 `default`）。 - 如果 `session.identityLinks` 匹配带提供商前缀的对等 ID（例如 `telegram:123`），则规范键替换 ``，这样同一个人可以跨渠道共享会话。 - 群组聊天隔离状态：`agent:::group:`（房间/频道使用 `agent:::channel:`）。 - Telegram 论坛话题在群组 ID 后附加 `:topic:` 以进行隔离。 - 旧版 `group:` 键仍被识别以进行迁移。 - 入站上下文可能仍使用 `group:`；渠道从 `Provider` 推断并规范化为规范的 `agent:::group:` 形式。 - 其他来源： - 定时任务：`cron:` - Webhooks：`hook:`（除非由 hook 显式设置） - 节点运行：`node-` ## 生命周期 - 重置策略：会话被重用直到过期，过期在下一条入站消息时评估。 - 每日重置：默认为 \*\*Gateway 网关主机本地时间凌晨 4:00\*\*。当会话的最后更新早于最近的每日重置时间时，会话即为过期。 - 空闲重置（可选）：`idleMinutes` 添加一个滑动空闲窗口。当同时配置每日和空闲重置时，\*\*先过期者\*\*强制新会话。 - 旧版仅空闲模式：如果你设置了 `session.idleMinutes` 而没有任何 `session.reset`/`resetByType` 配置，OpenClaw 会保持仅空闲模式以保持向后兼容。 - 按类型覆盖（可选）：`resetByType` 允许你覆盖 `dm`、`group` 和 `thread` 会话的策略（thread = Slack/Discord 线程、Telegram 话题、连接器提供的 Matrix 线程）。 - 按渠道覆盖（可选）：`resetByChannel` 覆盖渠道的重置策略（适用于该渠道的所有会话类型，优先于 `reset`/`resetByType`）。 - 重置触发器：精确的 `/new` 或 `/reset`（加上 `resetTriggers` 中的任何额外项）启动新的会话 ID 并传递消息的其余部分。`/new ` 接受模型别名、`provider/model` 或提供商名称（模糊匹配）来设置新会话模型。如果单独发送 `/new` 或 `/reset`，OpenClaw 会运行一个简短的"问候"轮次来确认重置。 - 手动重置：从存储中删除特定键或删除 JSONL 对话记录；下一条消息会重新创建它们。 - 隔离的定时任务总是每次运行生成新的 `sessionId`（没有空闲重用）。 ## 发送策略（可选） 阻止特定会话类型的投递，无需列出单个 ID。 ```json5 { session: { sendPolicy: { rules: [ { action: "deny", match: { channel: "discord", chatType: "group" } }, { action: "deny", match: { keyPrefix: "cron:" } }, ], default: "allow", }, }, } ``` 运行时覆盖（仅所有者）： - `/send on` → 为此会话允许 - `/send off` → 为此会话拒绝 - `/send inherit` → 清除覆盖并使用配置规则 将这些作为独立消息发送以使其生效。 ## 配置（可选重命名示例） ```json5 // ~/.openclaw/openclaw.json { session: { scope: "per-sender", // keep group keys separate dmScope: "main", // DM continuity (set per-channel-peer/per-account-channel-peer for shared inboxes) identityLinks: { alice: ["telegram:123456789", "discord:987654321012345678"], }, reset: { // Defaults: mode=daily, atHour=4 (gateway host local time). // If you also set idleMinutes, whichever expires first wins. mode: "daily", atHour: 4, idleMinutes: 120, }, resetByType: { thread: { mode: "daily", atHour: 4 }, dm: { mode: "idle", idleMinutes: 240 }, group: { mode: "idle", idleMinutes: 120 }, }, resetByChannel: { discord: { mode: "idle", idleMinutes: 10080 }, }, resetTriggers: ["/new", "/reset"], store: "~/.openclaw/agents/{agentId}/sessions/sessions.json", mainKey: "main", }, } ``` ## 检查 - `openclaw status` — 显示存储路径和最近的会话。 - `openclaw sessions --json` — 导出每个条目（使用 `--active ` 过滤）。 - `openclaw gateway call sessions.list --params '{}'` — 从运行中的 Gateway 网关获取会话（使用 `--url`/`--token` 进行远程 Gateway 网关访问）。 - 在聊天中单独发送 `/status` 消息可查看智能体是否可达、会话上下文使用了多少、当前的思考/详细模式开关，以及你的 WhatsApp Web 凭证上次刷新时间（有助于发现重新链接需求）。 - 发送 `/context list` 或 `/context detail` 查看系统提示中的内容和注入的工作区文件（以及最大的上下文贡献者）。 - 单独发送 `/stop` 消息可中止当前运行、清除该会话的排队后续操作，并停止从中生成的任何子智能体运行（回复包含已停止的数量）。 - 单独发送 `/compact`（可选指令）消息可总结旧上下文并释放窗口空间。参见 [/concepts/compaction](/concepts/compaction)。 - 可以直接打开 JSONL 对话记录查看完整轮次。 ## 提示 - 将主键专用于 1:1 通信；让群组保留各自的键。 - 自动清理时，删除单个键而不是整个存储，以保留其他地方的上下文。 ## 会话来源元数据 每个会话条目记录其来源（尽力而为）在 `origin` 中： - `label`：人类可读标签（从对话标签 + 群组主题/频道解析） - `provider`：规范化的渠道 ID（包括扩展） - `from`/`to`：入站信封中的原始路由 ID - `accountId`：提供商账户 ID（多账户时） - `threadId`：渠道支持时的线程/话题 ID 来源字段为私信、频道和群组填充。如果连接器仅更新投递路由（例如，保持私信主会话新鲜），它仍应提供入站上下文，以便会话保留其解释器元数据。扩展可以通过在入站上下文中发送 `ConversationLabel`、`GroupSubject`、`GroupChannel`、`GroupSpace` 和 `SenderName` 并调用 `recordSessionMetaFromInbound`（或将相同上下文传递给 `updateLastRoute`）来实现。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/session.md | main | opebclaw | [
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# 系统提示词 OpenClaw 为每次智能体运行构建自定义系统提示词。该提示词由 \*\*OpenClaw 拥有\*\*，不使用 p-coding-agent 默认提示词。 该提示词由 OpenClaw 组装并注入到每次智能体运行中。 ## 结构 该提示词设计紧凑，使用固定部分： - \*\*Tooling\*\*：当前工具列表 + 简短描述。 - \*\*Safety\*\*：简短的防护提醒，避免追求权力的行为或绕过监督。 - \*\*Skills\*\*（如果可用）：告诉模型如何按需加载 Skill 指令。 - \*\*OpenClaw Self-Update\*\*：如何运行 `config.apply` 和 `update.run`。 - \*\*Workspace\*\*：工作目录（`agents.defaults.workspace`）。 - \*\*Documentation\*\*：OpenClaw 文档的本地路径（仓库或 npm 包）以及何时阅读它们。 - \*\*Workspace Files (injected)\*\*：表示下方包含引导文件。 - \*\*Sandbox\*\*（启用时）：表示沙箱隔离运行时、沙箱路径，以及是否可用提权执行。 - \*\*Current Date & Time\*\*：用户本地时间、时区和时间格式。 - \*\*Reply Tags\*\*：支持的提供商的可选回复标签语法。 - \*\*Heartbeats\*\*：心跳提示词和确认行为。 - \*\*Runtime\*\*：主机、操作系统、node、模型、仓库根目录（检测到时）、思考级别（一行）。 - \*\*Reasoning\*\*：当前可见性级别 + /reasoning 切换提示。 系统提示词中的安全防护是建议性的。它们指导模型行为但不强制执行策略。使用工具策略、执行审批、沙箱隔离和渠道允许列表进行硬性执行；运维人员可以按设计禁用这些。 ## 提示词模式 OpenClaw 可以为子智能体渲染更小的系统提示词。运行时为每次运行设置一个 `promptMode`（不是面向用户的配置）： - `full`（默认）：包含上述所有部分。 - `minimal`：用于子智能体；省略 \*\*Skills\*\*、\*\*Memory Recall\*\*、\*\*OpenClaw Self-Update\*\*、\*\*Model Aliases\*\*、\*\*User Identity\*\*、\*\*Reply Tags\*\*、\*\*Messaging\*\*、\*\*Silent Replies\*\* 和 \*\*Heartbeats\*\*。Tooling、\*\*Safety\*\*、Workspace、Sandbox、Current Date & Time（已知时）、Runtime 和注入的上下文仍然可用。 - `none`：仅返回基本身份行。 当 `promptMode=minimal` 时，额外注入的提示词标记为 \*\*Subagent Context\*\* 而不是 \*\*Group Chat Context\*\*。 ## 工作区引导注入 引导文件被修剪后附加在 \*\*Project Context\*\* 下，这样模型无需显式读取即可看到身份和配置上下文： - `AGENTS.md` - `SOUL.md` - `TOOLS.md` - `IDENTITY.md` - `USER.md` - `HEARTBEAT.md` - `BOOTSTRAP.md`（仅在全新工作区上） 大文件会带截断标记被截断。每个文件的最大大小由 `agents.defaults.bootstrapMaxChars` 控制（默认：20000）。缺失的文件会注入一个简短的缺失文件标记。 内部钩子可以通过 `agent:bootstrap` 拦截此步骤以修改或替换注入的引导文件（例如将 `SOUL.md` 替换为其他角色）。 要检查每个注入文件贡献了多少（原始 vs 注入、截断，加上工具 schema 开销），使用 `/context list` 或 `/context detail`。参见[上下文](/concepts/context)。 ## 时间处理 当用户时区已知时，系统提示词包含专用的 \*\*Current Date & Time\*\* 部分。为保持提示词缓存稳定，它现在只包含\*\*时区\*\*（没有动态时钟或时间格式）。 当智能体需要当前时间时使用 `session\_status`；状态卡片包含时间戳行。 配置方式： - `agents.defaults.userTimezone` - `agents.defaults.timeFormat`（`auto` | `12` | `24`） 完整行为详情参见[日期和时间](/date-time)。 ## Skills 当存在符合条件的 Skills 时，OpenClaw 注入一个紧凑的\*\*可用 Skills 列表\*\*（`formatSkillsForPrompt`），其中包含每个 Skill 的\*\*文件路径\*\*。提示词指示模型使用 `read` 加载列出位置（工作区、托管或内置）的 SKILL.md。如果没有符合条件的 Skills，则省略 Skills 部分。 ``` ... ... ... ``` 这使基础提示词保持小巧，同时仍然支持有针对性的 Skill 使用。 ## 文档 如果可用，系统提示词包含一个 \*\*Documentation\*\* 部分，指向本地 OpenClaw 文档目录（仓库工作区中的 `docs/` 或打包的 npm 包文档），并注明公共镜像、源仓库、社区 Discord 和 ClawHub (https://clawhub.com) 用于 Skills 发现。提示词指示模型首先查阅本地文档了解 OpenClaw 行为、命令、配置或架构，并尽可能自己运行 `openclaw status`（仅在无法访问时询问用户）。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/system-prompt.md | main | opebclaw | [
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# 群组 OpenClaw 在各平台上统一处理群聊：WhatsApp、Telegram、Discord、Slack、Signal、iMessage、Microsoft Teams。 ## 新手入门（2 分钟） OpenClaw"运行"在你自己的消息账户上。没有单独的 WhatsApp 机器人用户。如果\*\*你\*\*在一个群组中，OpenClaw 就可以看到该群组并在其中回复。 默认行为： - 群组受限（`groupPolicy: "allowlist"`）。 - 除非你明确禁用提及限制，否则回复需要 @ 提及。 解释：允许列表中的发送者可以通过提及来触发 OpenClaw。 > 简而言之 > > - \*\*私信访问\*\*由 `\*.allowFrom` 控制。 > - \*\*群组访问\*\*由 `\*.groupPolicy` + 允许列表（`\*.groups`、`\*.groupAllowFrom`）控制。 > - \*\*回复触发\*\*由提及限制（`requireMention`、`/activation`）控制。 快速流程（群消息会发生什么）： ``` groupPolicy? disabled -> 丢弃 groupPolicy? allowlist -> 群组允许? 否 -> 丢弃 requireMention? 是 -> 被提及? 否 -> 仅存储为上下文 否则 -> 回复 ```  如果你想... | 目标 | 设置什么 | |------|-------------| | 允许所有群组但仅在 @ 提及时回复 | `groups: { "\*": { requireMention: true } }` | | 禁用所有群组回复 | `groupPolicy: "disabled"` | | 仅特定群组 | `groups: { "": { ... } }`（无 `"\*"` 键） | | 仅你可以在群组中触发 | `groupPolicy: "allowlist"`、`groupAllowFrom: ["+1555..."]` | ## 会话键 - 群组会话使用 `agent:::group:` 会话键（房间/频道使用 `agent:::channel:`）。 - Telegram 论坛话题在群组 ID 后添加 `:topic:`，因此每个话题都有自己的会话。 - 私聊使用主会话（或按发送者配置时使用各自的会话）。 - 群组会话跳过心跳。 ## 模式：个人私信 + 公开群组（单智能体） 是的——如果你的"个人"流量是\*\*私信\*\*而"公开"流量是\*\*群组\*\*，这种方式效果很好。 原因：在单智能体模式下，私信通常落在\*\*主\*\*会话键（`agent:main:main`）中，而群组始终使用\*\*非主\*\*会话键（`agent:main::group:`）。如果你启用 `mode: "non-main"` 的沙箱隔离，这些群组会话在 Docker 中运行，而你的主私信会话保持在主机上。 这给你一个智能体"大脑"（共享工作区 + 记忆），但两种执行姿态： - \*\*私信\*\*：完整工具（主机） - \*\*群组\*\*：沙箱 + 受限工具（Docker） > 如果你需要真正独立的工作区/角色（"个人"和"公开"绝不能混合），请使用第二个智能体 + 绑定。参见[多智能体路由](/concepts/multi-agent)。 示例（私信在主机上，群组沙箱隔离 + 仅消息工具）： ```json5 { agents: { defaults: { sandbox: { mode: "non-main", // 群组/频道是非主 -> 沙箱隔离 scope: "session", // 最强隔离（每个群组/频道一个容器） workspaceAccess: "none", }, }, }, tools: { sandbox: { tools: { // 如果 allow 非空，其他所有工具都被阻止（deny 仍然优先）。 allow: ["group:messaging", "group:sessions"], deny: ["group:runtime", "group:fs", "group:ui", "nodes", "cron", "gateway"], }, }, }, } ``` 想要"群组只能看到文件夹 X"而不是"无主机访问"？保持 `workspaceAccess: "none"` 并仅将允许的路径挂载到沙箱中： ```json5 { agents: { defaults: { sandbox: { mode: "non-main", scope: "session", workspaceAccess: "none", docker: { binds: [ // hostPath:containerPath:mode "~/FriendsShared:/data:ro", ], }, }, }, }, } ``` 相关： - 配置键和默认值：[Gateway 网关配置](/gateway/configuration#agentsdefaultssandbox) - 调试为什么工具被阻止：[沙箱 vs 工具策略 vs 提权](/gateway/sandbox-vs-tool-policy-vs-elevated) - 绑定挂载详情：[沙箱隔离](/gateway/sandboxing#custom-bind-mounts) ## 显示标签 - UI 标签在可用时使用 `displayName`，格式为 `:`。 - `#room` 保留用于房间/频道；群聊使用 `g-`（小写，空格 -> `-`，保留 `#@+.\_-`）。 ## 群组策略 控制每个渠道如何处理群组/房间消息： ```json5 { channels: { whatsapp: { groupPolicy: "disabled", // "open" | "disabled" | "allowlist" groupAllowFrom: ["+15551234567"], }, telegram: { groupPolicy: "disabled", groupAllowFrom: ["123456789", "@username"], }, signal: { groupPolicy: "disabled", groupAllowFrom: ["+15551234567"], }, imessage: { groupPolicy: "disabled", groupAllowFrom: ["chat\_id:123"], }, msteams: { groupPolicy: "disabled", groupAllowFrom: ["user@org.com"], }, discord: { groupPolicy: "allowlist", guilds: { GUILD\_ID: { channels: { help: { allow: true } } }, }, }, slack: { groupPolicy: "allowlist", channels: { "#general": { allow: true } }, }, matrix: { groupPolicy: "allowlist", groupAllowFrom: ["@owner:example.org"], groups: { "!roomId:example.org": { allow: true }, "#alias:example.org": { allow: true }, }, }, }, } ``` | 策略 | 行为 | | ------------- | --------------------------------------- | | `"open"` | 群组绕过允许列表；提及限制仍然适用。 | | `"disabled"` | 完全阻止所有群组消息。 | | `"allowlist"` | 仅允许与配置的允许列表匹配的群组/房间。 | 注意事项： - `groupPolicy` 与提及限制（需要 @ 提及）是分开的。 - WhatsApp/Telegram/Signal/iMessage/Microsoft Teams：使用 `groupAllowFrom`（回退：显式 `allowFrom`）。 - Discord：允许列表使用 `channels.discord.guilds..channels`。 - Slack：允许列表使用 `channels.slack.channels`。 - Matrix：允许列表使用 `channels.matrix.groups`（房间 ID、别名或名称）。使用 `channels.matrix.groupAllowFrom` 限制发送者；也支持每个房间的 `users` 允许列表。 - 群组私信单独控制（`channels.discord.dm.\*`、`channels.slack.dm.\*`）。 - Telegram 允许列表可以匹配用户 ID（`"123456789"`、`"telegram:123456789"`、`"tg:123456789"`）或用户名（`"@alice"` 或 `"alice"`）；前缀不区分大小写。 - 默认为 `groupPolicy: "allowlist"`；如果你的群组允许列表为空，群组消息将被阻止。 快速心智模型（群组消息的评估顺序）： 1. `groupPolicy`（open/disabled/allowlist） 2. 群组允许列表（`\*.groups`、`\*.groupAllowFrom`、渠道特定允许列表） 3. 提及限制（`requireMention`、`/activation`） ## 提及限制（默认） 群组消息需要提及，除非按群组覆盖。默认值位于 `\*.groups."\*"` 下的每个子系统中。 回复机器人消息被视为隐式提及（当渠道支持回复元数据时）。这适用于 Telegram、WhatsApp、Slack、Discord 和 Microsoft Teams。 ```json5 { channels: { whatsapp: { groups: { "\*": { requireMention: true }, "123@g.us": { requireMention: false }, }, }, telegram: { groups: { "\*": { requireMention: true }, "123456789": { requireMention: false }, }, }, imessage: { groups: { "\*": { requireMention: true }, "123": { requireMention: false }, }, }, }, agents: { list: [ { id: "main", groupChat: { mentionPatterns: ["@openclaw", "openclaw", "\\+15555550123"], historyLimit: 50, }, }, ], }, } ``` 注意事项： - `mentionPatterns` 是不区分大小写的正则表达式。 - 提供显式提及的平台仍然通过；模式是回退。 - 每个智能体覆盖：`agents.list[].groupChat.mentionPatterns`（当多个智能体共享一个群组时有用）。 - 提及限制仅在提及检测可行时强制执行（原生提及或 `mentionPatterns` 已配置）。 - Discord 默认值位于 `channels.discord.guilds."\*"`（可按服务器/频道覆盖）。 - 群组历史上下文在渠道间统一包装，并且是\*\*仅待处理\*\*（由于提及限制而跳过的消息）；使用 `messages.groupChat.historyLimit` 作为全局默认值，使用 `channels..historyLimit`（或 `channels..accounts.\*.historyLimit`）进行覆盖。设置 `0` 以禁用。 ## 群组/频道工具限制（可选） 某些渠道配置支持限制\*\*特定群组/房间/频道内\*\*可用的工具。 - `tools`：为整个群组允许/拒绝工具。 - `toolsBySender`：群组内的按发送者覆盖（键是发送者 ID/用户名/邮箱/电话号码，取决于渠道）。使用 `"\*"` 作为通配符。 解析顺序（最具体的优先）： 1. 群组/频道 `toolsBySender` 匹配 2. 群组/频道 `tools` 3. 默认（`"\*"`）`toolsBySender` 匹配 4. 默认（`"\*"`）`tools` 示例（Telegram）： ```json5 { channels: { telegram: { groups: { "\*": { tools: { deny: ["exec"] } }, "-1001234567890": { tools: { deny: ["exec", "read", "write"] }, toolsBySender: { "123456789": { alsoAllow: ["exec"] }, | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/groups.md | main | opebclaw | [
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`toolsBySender`：群组内的按发送者覆盖（键是发送者 ID/用户名/邮箱/电话号码，取决于渠道）。使用 `"\*"` 作为通配符。 解析顺序（最具体的优先）： 1. 群组/频道 `toolsBySender` 匹配 2. 群组/频道 `tools` 3. 默认（`"\*"`）`toolsBySender` 匹配 4. 默认（`"\*"`）`tools` 示例（Telegram）： ```json5 { channels: { telegram: { groups: { "\*": { tools: { deny: ["exec"] } }, "-1001234567890": { tools: { deny: ["exec", "read", "write"] }, toolsBySender: { "123456789": { alsoAllow: ["exec"] }, }, }, }, }, }, } ``` 注意事项： - 群组/频道工具限制在全局/智能体工具策略之外额外应用（deny 仍然优先）。 - 某些渠道对房间/频道使用不同的嵌套结构（例如，Discord `guilds.\*.channels.\*`、Slack `channels.\*`、MS Teams `teams.\*.channels.\*`）。 ## 群组允许列表 当配置了 `channels.whatsapp.groups`、`channels.telegram.groups` 或 `channels.imessage.groups` 时，键作为群组允许列表。使用 `"\*"` 允许所有群组，同时仍设置默认提及行为。 常见意图（复制/粘贴）： 1. 禁用所有群组回复 ```json5 { channels: { whatsapp: { groupPolicy: "disabled" } }, } ``` 2. 仅允许特定群组（WhatsApp） ```json5 { channels: { whatsapp: { groups: { "123@g.us": { requireMention: true }, "456@g.us": { requireMention: false }, }, }, }, } ``` 3. 允许所有群组但需要提及（显式） ```json5 { channels: { whatsapp: { groups: { "\*": { requireMention: true } }, }, }, } ``` 4. 仅所有者可以在群组中触发（WhatsApp） ```json5 { channels: { whatsapp: { groupPolicy: "allowlist", groupAllowFrom: ["+15551234567"], groups: { "\*": { requireMention: true } }, }, }, } ``` ## 激活（仅所有者） 群组所有者可以切换每个群组的激活状态： - `/activation mention` - `/activation always` 所有者由 `channels.whatsapp.allowFrom` 确定（未设置时为机器人自身的 E.164）。将命令作为独立消息发送。其他平台目前忽略 `/activation`。 ## 上下文字段 群组入站负载设置： - `ChatType=group` - `GroupSubject`（如果已知） - `GroupMembers`（如果已知） - `WasMentioned`（提及限制结果） - Telegram 论坛话题还包括 `MessageThreadId` 和 `IsForum`。 智能体系统提示在新群组会话的第一轮包含群组介绍。它提醒模型像人类一样回复，避免 Markdown 表格，避免输入字面量 `\n` 序列。 ## iMessage 特定内容 - 路由或允许列表时优先使用 `chat\_id:`。 - 列出聊天：`imsg chats --limit 20`。 - 群组回复始终返回到相同的 `chat\_id`。 ## WhatsApp 特定内容 参见[群消息](/concepts/group-messages)了解 WhatsApp 专有行为（历史注入、提及处理详情）。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/groups.md | main | opebclaw | [
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# 在线状态 OpenClaw"在线状态"是以下内容的轻量级、尽力而为的视图： - \*\*Gateway 网关\*\*本身，以及 - \*\*连接到 Gateway 网关的客户端\*\*（mac 应用、WebChat、CLI 等） 在线状态主要用于渲染 macOS 应用的\*\*实例\*\*标签页，并为运维人员提供快速可见性。 ## 在线状态字段（显示的内容） 在线状态条目是具有以下字段的结构化对象： - `instanceId`（可选但强烈推荐）：稳定的客户端身份（通常是 `connect.client.instanceId`） - `host`：人类友好的主机名 - `ip`：尽力而为的 IP 地址 - `version`：客户端版本字符串 - `deviceFamily` / `modelIdentifier`：硬件提示 - `mode`：`ui`、`webchat`、`cli`、`backend`、`probe`、`test`、`node`，... - `lastInputSeconds`："自上次用户输入以来的秒数"（如果已知） - `reason`：`self`、`connect`、`node-connected`、`periodic`，... - `ts`：最后更新时间戳（自纪元以来的毫秒数） ## 生产者（在线状态来源） 在线状态条目由多个来源生成并\*\*合并\*\*。 ### 1）Gateway 网关自身条目 Gateway 网关始终在启动时植入一个"self"条目，这样即使在任何客户端连接之前，UI 也能显示 Gateway 网关主机。 ### 2）WebSocket 连接 每个 WS 客户端都以 `connect` 请求开始。在成功握手后，Gateway 网关为该连接更新插入一个在线状态条目。 #### 为什么一次性 CLI 命令不会显示 CLI 经常为短暂的一次性命令进行连接。为避免实例列表被刷屏，`client.mode === "cli"` \*\*不会\*\*被转换为在线状态条目。 ### 3）`system-event` 信标 客户端可以通过 `system-event` 方法发送更丰富的周期性信标。mac 应用使用此方法报告主机名、IP 和 `lastInputSeconds`。 ### 4）节点连接（role: node） 当节点通过 Gateway 网关 WebSocket 以 `role: node` 连接时，Gateway 网关为该节点更新插入一个在线状态条目（与其他 WS 客户端流程相同）。 ## 合并 + 去重规则（为什么 `instanceId` 很重要） 在线状态条目存储在单个内存映射中： - 条目以\*\*在线状态键\*\*为索引。 - 最佳键是稳定的 `instanceId`（来自 `connect.client.instanceId`），它在重启后仍然有效。 - 键不区分大小写。 如果客户端在没有稳定 `instanceId` 的情况下重新连接，它可能会显示为\*\*重复\*\*行。 ## TTL 和有界大小 在线状态是有意设计为短暂的： - \*\*TTL：\*\* 超过 5 分钟的条目会被修剪 - \*\*最大条目数：\*\* 200（最旧的优先删除） 这使列表保持新鲜并避免无限制的内存增长。 ## 远程/隧道注意事项（回环 IP） 当客户端通过 SSH 隧道/本地端口转发连接时，Gateway 网关可能会看到远程地址为 `127.0.0.1`。为避免覆盖客户端报告的有效 IP，回环远程地址会被忽略。 ## 消费者 ### macOS 实例标签页 macOS 应用渲染 `system-presence` 的输出，并根据最后更新的时间应用一个小的状态指示器（活跃/空闲/过期）。 ## 调试技巧 - 要查看原始列表，对 Gateway 网关调用 `system-presence`。 - 如果你看到重复项： - 确认客户端在握手中发送稳定的 `client.instanceId` - 确认周期性信标使用相同的 `instanceId` - 检查连接派生的条目是否缺少 `instanceId`（这种情况下重复是预期的） | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/concepts/presence.md | main | opebclaw | [
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# 诊断标志 诊断标志让你可以启用定向调试日志，而无需在所有地方开启详细日志。标志是可选启用的，除非子系统检查它们，否则不会生效。 ## 工作原理 - 标志是字符串（不区分大小写）。 - 你可以在配置中或通过环境变量覆盖来启用标志。 - 支持通配符： - `telegram.\*` 匹配 `telegram.http` - `\*` 启用所有标志 ## 通过配置启用 ```json { "diagnostics": { "flags": ["telegram.http"] } } ``` 多个标志： ```json { "diagnostics": { "flags": ["telegram.http", "gateway.\*"] } } ``` 更改标志后重启 Gateway 网关。 ## 环境变量覆盖（一次性） ```bash OPENCLAW\_DIAGNOSTICS=telegram.http,telegram.payload ``` 禁用所有标志： ```bash OPENCLAW\_DIAGNOSTICS=0 ``` ## 日志存储位置 标志将日志输出到标准诊断日志文件。默认位置： ``` /tmp/openclaw/openclaw-YYYY-MM-DD.log ``` 如果你设置了 `logging.file`，则使用该路径。日志为 JSONL 格式（每行一个 JSON 对象）。脱敏仍然根据 `logging.redactSensitive` 应用。 ## 提取日志 选择最新的日志文件： ```bash ls -t /tmp/openclaw/openclaw-\*.log | head -n 1 ``` 过滤 Telegram HTTP 诊断： ```bash rg "telegram http error" /tmp/openclaw/openclaw-\*.log ``` 或在复现时使用 tail： ```bash tail -f /tmp/openclaw/openclaw-$(date +%F).log | rg "telegram http error" ``` 对于远程 Gateway 网关，你也可以使用 `openclaw logs --follow`（参见 [/cli/logs](/cli/logs)）。 ## 注意事项 - 如果 `logging.level` 设置为高于 `warn`，这些日志可能会被抑制。默认的 `info` 级别即可。 - 标志可以安全地保持启用状态；它们只影响特定子系统的日志量。 - 使用 [/logging](/logging) 更改日志目标、级别和脱敏设置。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/diagnostics/flags.md | main | opebclaw | [
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# Gmail Pub/Sub -> OpenClaw 目标：Gmail watch -> Pub/Sub 推送 -> `gog gmail watch serve` -> OpenClaw webhook。 ## 前置条件 - 已安装并登录 `gcloud`（[安装指南](https://docs.cloud.google.com/sdk/docs/install-sdk)）。 - 已安装 `gog` (gogcli) 并为 Gmail 账户授权（[gogcli.sh](https://gogcli.sh/)）。 - 已启用 OpenClaw hooks（参见 [Webhooks](/automation/webhook)）。 - 已登录 `tailscale`（[tailscale.com](https://tailscale.com/)）。支持的设置使用 Tailscale Funnel 作为公共 HTTPS 端点。 其他隧道服务也可以使用，但需要自行配置/不受支持，需要手动接入。 目前，我们支持的是 Tailscale。 示例 hook 配置（启用 Gmail 预设映射）： ```json5 { hooks: { enabled: true, token: "OPENCLAW\_HOOK\_TOKEN", path: "/hooks", presets: ["gmail"], }, } ``` 要将 Gmail 摘要投递到聊天界面，请用设置了 `deliver` 以及可选的 `channel`/`to` 的映射覆盖预设： ```json5 { hooks: { enabled: true, token: "OPENCLAW\_HOOK\_TOKEN", presets: ["gmail"], mappings: [ { match: { path: "gmail" }, action: "agent", wakeMode: "now", name: "Gmail", sessionKey: "hook:gmail:{{messages[0].id}}", messageTemplate: "New email from {{messages[0].from}}\nSubject: {{messages[0].subject}}\n{{messages[0].snippet}}\n{{messages[0].body}}", model: "openai/gpt-5.2-mini", deliver: true, channel: "last", // to: "+15551234567" }, ], }, } ``` 如果你想使用固定渠道，请设置 `channel` + `to`。否则 `channel: "last"` 会使用上次的投递路由（默认回退到 WhatsApp）。 要为 Gmail 运行强制使用更便宜的模型，请在映射中设置 `model`（`provider/model` 或别名）。如果你强制启用了 `agents.defaults.models`，请将其包含在内。 要专门为 Gmail hooks 设置默认模型和思考级别，请在配置中添加 `hooks.gmail.model` / `hooks.gmail.thinking`： ```json5 { hooks: { gmail: { model: "openrouter/meta-llama/llama-3.3-70b-instruct:free", thinking: "off", }, }, } ``` 注意事项： - 映射中的每个 hook 的 `model`/`thinking` 仍会覆盖这些默认值。 - 回退顺序：`hooks.gmail.model` → `agents.defaults.model.fallbacks` → 主模型（认证/速率限制/超时）。 - 如果设置了 `agents.defaults.models`，Gmail 模型必须在允许列表中。 - Gmail hook 内容默认使用外部内容安全边界包装。 要禁用（危险），请设置 `hooks.gmail.allowUnsafeExternalContent: true`。 要进一步自定义负载处理，请添加 `hooks.mappings` 或在 `hooks.transformsDir` 下添加 JS/TS 转换模块（参见 [Webhooks](/automation/webhook)）。 ## 向导（推荐） 使用 OpenClaw 助手将所有内容接入在一起（在 macOS 上通过 brew 安装依赖）： ```bash openclaw webhooks gmail setup \ --account openclaw@gmail.com ``` 默认设置： - 使用 Tailscale Funnel 作为公共推送端点。 - 为 `openclaw webhooks gmail run` 写入 `hooks.gmail` 配置。 - 启用 Gmail hook 预设（`hooks.presets: ["gmail"]`）。 路径说明：当启用 `tailscale.mode` 时，OpenClaw 会自动将 `hooks.gmail.serve.path` 设置为 `/`，并将公共路径保持在 `hooks.gmail.tailscale.path`（默认 `/gmail-pubsub`），因为 Tailscale 在代理之前会剥离设置的路径前缀。 如果你需要后端接收带前缀的路径，请将 `hooks.gmail.tailscale.target`（或 `--tailscale-target`）设置为完整 URL，如 `http://127.0.0.1:8788/gmail-pubsub`，并匹配 `hooks.gmail.serve.path`。 想要自定义端点？使用 `--push-endpoint ` 或 `--tailscale off`。 平台说明：在 macOS 上，向导通过 Homebrew 安装 `gcloud`、`gogcli` 和 `tailscale`；在 Linux 上请先手动安装它们。 Gateway 网关自动启动（推荐）： - 当 `hooks.enabled=true` 且设置了 `hooks.gmail.account` 时，Gateway 网关会在启动时运行 `gog gmail watch serve` 并自动续期 watch。 - 设置 `OPENCLAW\_SKIP\_GMAIL\_WATCHER=1` 可退出（如果你自己运行守护进程则很有用）。 - 不要同时运行手动守护进程，否则会遇到 `listen tcp 127.0.0.1:8788: bind: address already in use`。 手动守护进程（启动 `gog gmail watch serve` + 自动续期）： ```bash openclaw webhooks gmail run ``` ## 一次性设置 1. 选择\*\*拥有 `gog` 使用的 OAuth 客户端\*\*的 GCP 项目。 ```bash gcloud auth login gcloud config set project ``` 注意：Gmail watch 要求 Pub/Sub 主题与 OAuth 客户端位于同一项目中。 2. 启用 API： ```bash gcloud services enable gmail.googleapis.com pubsub.googleapis.com ``` 3. 创建主题： ```bash gcloud pubsub topics create gog-gmail-watch ``` 4. 允许 Gmail push 发布： ```bash gcloud pubsub topics add-iam-policy-binding gog-gmail-watch \ --member=serviceAccount:gmail-api-push@system.gserviceaccount.com \ --role=roles/pubsub.publisher ``` ## 启动 watch ```bash gog gmail watch start \ --account openclaw@gmail.com \ --label INBOX \ --topic projects//topics/gog-gmail-watch ``` 保存输出中的 `history\_id`（用于调试）。 ## 运行推送处理程序 本地示例（共享 token 认证）： ```bash gog gmail watch serve \ --account openclaw@gmail.com \ --bind 127.0.0.1 \ --port 8788 \ --path /gmail-pubsub \ --token \ --hook-url http://127.0.0.1:18789/hooks/gmail \ --hook-token OPENCLAW\_HOOK\_TOKEN \ --include-body \ --max-bytes 20000 ``` 注意事项： - `--token` 保护推送端点（`x-gog-token` 或 `?token=`）。 - `--hook-url` 指向 OpenClaw `/hooks/gmail`（已映射；隔离运行 + 摘要发送到主线程）。 - `--include-body` 和 `--max-bytes` 控制发送到 OpenClaw 的正文片段。 推荐：`openclaw webhooks gmail run` 封装了相同的流程并自动续期 watch。 ## 暴露处理程序（高级，不受支持） 如果你需要非 Tailscale 隧道，请手动接入并在推送订阅中使用公共 URL（不受支持，无保护措施）： ```bash cloudflared tunnel --url http://127.0.0.1:8788 --no-autoupdate ``` 使用生成的 URL 作为推送端点： ```bash gcloud pubsub subscriptions create gog-gmail-watch-push \ --topic gog-gmail-watch \ --push-endpoint "https:///gmail-pubsub?token=" ``` 生产环境：使用稳定的 HTTPS 端点并配置 Pub/Sub OIDC JWT，然后运行： ```bash gog gmail watch serve --verify-oidc --oidc-email ``` ## 测试 向被监视的收件箱发送一条消息： ```bash gog gmail send \ --account openclaw@gmail.com \ --to openclaw@gmail.com \ --subject "watch test" \ --body "ping" ``` 检查 watch 状态和历史记录： ```bash gog gmail watch status --account openclaw@gmail.com gog gmail history --account openclaw@gmail.com --since ``` ## 故障排除 - `Invalid topicName`：项目不匹配（主题不在 OAuth 客户端项目中）。 - `User not authorized`：主题缺少 `roles/pubsub.publisher`。 - 空消息：Gmail push 仅提供 `historyId`；通过 `gog gmail history` 获取。 ## 清理 ```bash gog gmail watch stop --account openclaw@gmail.com gcloud pubsub subscriptions delete gog-gmail-watch-push gcloud pubsub topics delete gog-gmail-watch ``` | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/automation/gmail-pubsub.md | main | opebclaw | [
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watch stop --account openclaw@gmail.com gcloud pubsub subscriptions delete gog-gmail-watch-push gcloud pubsub topics delete gog-gmail-watch ``` | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/automation/gmail-pubsub.md | main | opebclaw | [
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# 定时任务（Gateway网关调度器） > \*\*定时任务还是心跳？\*\* 请参阅[定时任务与心跳对比](/automation/cron-vs-heartbeat)了解何时使用哪种方式。 定时任务是 Gateway网关内置的调度器。它持久化任务、在合适的时间唤醒智能体，并可选择将输出发送回聊天。 如果你想要 \_"每天早上运行"\_ 或 \_"20 分钟后提醒智能体"\_，定时任务就是对应的机制。 ## 简要概述 - 定时任务运行在 \*\*Gateway网关内部\*\*（而非模型内部）。 - 任务持久化存储在 `~/.openclaw/cron/` 下，因此重启不会丢失计划。 - 两种执行方式： - \*\*主会话\*\*：入队一个系统事件，然后在下一次心跳时运行。 - \*\*隔离式\*\*：在 `cron:` 中运行专用智能体轮次，可投递摘要（默认 announce）或不投递。 - 唤醒是一等功能：任务可以请求"立即唤醒"或"下次心跳时"。 ## 快速开始（可操作） 创建一个一次性提醒，验证其存在，然后立即运行： ```bash openclaw cron add \ --name "Reminder" \ --at "2026-02-01T16:00:00Z" \ --session main \ --system-event "Reminder: check the cron docs draft" \ --wake now \ --delete-after-run openclaw cron list openclaw cron run --force openclaw cron runs --id ``` 调度一个带投递功能的周期性隔离任务： ```bash openclaw cron add \ --name "Morning brief" \ --cron "0 7 \* \* \*" \ --tz "America/Los\_Angeles" \ --session isolated \ --message "Summarize overnight updates." \ --announce \ --channel slack \ --to "channel:C1234567890" ``` ## 工具调用等价形式（Gateway网关定时任务工具） 有关规范的 JSON 结构和示例，请参阅[工具调用的 JSON 模式](/automation/cron-jobs#json-schema-for-tool-calls)。 ## 定时任务的存储位置 定时任务默认持久化存储在 Gateway网关主机的 `~/.openclaw/cron/jobs.json` 中。Gateway网关将文件加载到内存中，并在更改时写回，因此仅在 Gateway网关停止时手动编辑才是安全的。请优先使用 `openclaw cron add/edit` 或定时任务工具调用 API 进行更改。 ## 新手友好概述 将定时任务理解为：\*\*何时\*\*运行 + \*\*做什么\*\*。 1. \*\*选择调度计划\*\* - 一次性提醒 → `schedule.kind = "at"`（CLI：`--at`） - 重复任务 → `schedule.kind = "every"` 或 `schedule.kind = "cron"` - 如果你的 ISO 时间戳省略了时区，将被视为 \*\*UTC\*\*。 2. \*\*选择运行位置\*\* - `sessionTarget: "main"` → 在下一次心跳时使用主会话上下文运行。 - `sessionTarget: "isolated"` → 在 `cron:` 中运行专用智能体轮次。 3. \*\*选择负载\*\* - 主会话 → `payload.kind = "systemEvent"` - 隔离会话 → `payload.kind = "agentTurn"` 可选：一次性任务（`schedule.kind = "at"`）默认会在成功运行后删除。设置 `deleteAfterRun: false` 可保留它（成功后会禁用）。 ## 概念 ### 任务 定时任务是一条存储记录，包含： - 一个\*\*调度计划\*\*（何时运行）， - 一个\*\*负载\*\*（做什么）， - 可选的\*\*投递\*\*（输出发送到哪里）。 - 可选的\*\*智能体绑定\*\*（`agentId`）：在指定智能体下运行任务；如果缺失或未知，Gateway网关会回退到默认智能体。 任务通过稳定的 `jobId` 标识（用于 CLI/Gateway网关 API）。 在智能体工具调用中，`jobId` 是规范字段；旧版 `id` 仍可兼容使用。 一次性任务默认会在成功运行后自动删除；设置 `deleteAfterRun: false` 可保留它。 ### 调度计划 定时任务支持三种调度类型： - `at`：一次性时间戳（ISO 8601 字符串）。 - `every`：固定间隔（毫秒）。 - `cron`：5 字段 cron 表达式，可选 IANA 时区。 Cron 表达式使用 `croner`。如果省略时区，将使用 Gateway网关主机的本地时区。 ### 主会话与隔离式执行 #### 主会话任务（系统事件） 主会话任务入队一个系统事件，并可选择唤醒心跳运行器。它们必须使用 `payload.kind = "systemEvent"`。 - `wakeMode: "next-heartbeat"`（默认）：事件等待下一次计划心跳。 - `wakeMode: "now"`：事件触发立即心跳运行。 当你需要正常的心跳提示 + 主会话上下文时，这是最佳选择。参见[心跳](/gateway/heartbeat)。 #### 隔离任务（专用定时会话） 隔离任务在会话 `cron:` 中运行专用智能体轮次。 关键行为： - 提示以 `[cron: <任务名称>]` 为前缀，便于追踪。 - 每次运行都会启动一个\*\*全新的会话 ID\*\*（不继承之前的对话）。 - 如果未指定 `delivery`，隔离任务会默认以“announce”方式投递摘要。 - `delivery.mode` 可选 `announce`（投递摘要）或 `none`（内部运行）。 对于嘈杂、频繁或"后台杂务"类任务，使用隔离任务可以避免污染你的主聊天记录。 ### 负载结构（运行内容） 支持两种负载类型： - `systemEvent`：仅限主会话，通过心跳提示路由。 - `agentTurn`：仅限隔离会话，运行专用智能体轮次。 常用 `agentTurn` 字段： - `message`：必填文本提示。 - `model` / `thinking`：可选覆盖（见下文）。 - `timeoutSeconds`：可选超时覆盖。 ### 模型和思维覆盖 隔离任务（`agentTurn`）可以覆盖模型和思维级别： - `model`：提供商/模型字符串（例如 `anthropic/claude-sonnet-4-20250514`）或别名（例如 `opus`） - `thinking`：思维级别（`off`、`minimal`、`low`、`medium`、`high`、`xhigh`；仅限 GPT-5.2 + Codex 模型） 注意：你也可以在主会话任务上设置 `model`，但这会更改共享的主会话模型。我们建议仅对隔离任务使用模型覆盖，以避免意外的上下文切换。 优先级解析顺序： 1. 任务负载覆盖（最高优先级） 2. 钩子特定默认值（例如 `hooks.gmail.model`） 3. 智能体配置默认值 ### 投递（渠道 + 目标） 隔离任务可以通过顶层 `delivery` 配置投递输出： - `delivery.mode`：`announce`（投递摘要）或 `none` - `delivery.channel`：`whatsapp` / `telegram` / `discord` / `slack` / `mattermost`（插件）/ `signal` / `imessage` / `last` - `delivery.to`：渠道特定的接收目标 - `delivery.bestEffort`：投递失败时避免任务失败 当启用 announce 投递时，该轮次会抑制消息工具发送；请使用 `delivery.channel`/`delivery.to` 来指定目标。 如果省略 `delivery.channel` 或 `delivery.to`，定时任务会回退到主会话的“最后路由”（智能体最后回复的位置）。 目标格式提醒： - Slack/Discord/Mattermost（插件）目标应使用明确前缀（例如 `channel:`、`user:`）以避免歧义。 - Telegram 主题应使用 `:topic:` 格式（见下文）。 #### Telegram 投递目标（主题/论坛帖子） Telegram 通过 `message\_thread\_id` 支持论坛主题。对于定时任务投递，你可以将主题/帖子编码到 `to` 字段中： - `-1001234567890`（仅聊天 ID） - `-1001234567890:topic:123`（推荐：明确的主题标记） - `-1001234567890:123`（简写：数字后缀） 带前缀的目标如 `telegram:...` / `telegram:group:...` 也可接受： - `telegram:group:-1001234567890:topic:123` ## 工具调用的 JSON 模式 直接调用 Gateway网关 `cron.\*` 工具（智能体工具调用或 RPC）时使用这些结构。CLI 标志接受人类可读的时间格式如 `20m`，但工具调用应使用 ISO 8601 字符串作为 `schedule.at`，并使用毫秒作为 `schedule.everyMs`。 ### cron.add 参数 一次性主会话任务（系统事件）： ```json { "name": "Reminder", "schedule": { "kind": "at", "at": "2026-02-01T16:00:00Z" }, "sessionTarget": "main", "wakeMode": "now", "payload": { "kind": "systemEvent", "text": "Reminder text" }, "deleteAfterRun": true } ``` 带投递的周期性隔离任务： ```json { "name": "Morning brief", "schedule": { "kind": "cron", "expr": "0 7 \* \* \*", "tz": "America/Los\_Angeles" }, "sessionTarget": "isolated", "wakeMode": "next-heartbeat", "payload": { "kind": "agentTurn", "message": "Summarize overnight updates." }, "delivery": { "mode": "announce", "channel": "slack", "to": "channel:C1234567890", "bestEffort": true } } ``` 说明： - `schedule.kind`：`at`（`at`）、`every`（`everyMs`）或 `cron`（`expr`，可选 `tz`）。 - `schedule.at` 接受 ISO 8601（可省略时区；省略时按 UTC 处理）。 - `everyMs` 为毫秒数。 - `sessionTarget` 必须为 `"main"` 或 `"isolated"`，且必须与 `payload.kind` 匹配。 - 可选字段：`agentId`、`description`、`enabled`、`deleteAfterRun`、`delivery`。 - `wakeMode` 省略时默认为 `"next-heartbeat"`。 ### cron.update 参数 ```json { "jobId": "job-123", "patch": { "enabled": false, "schedule": { "kind": "every", "everyMs": 3600000 } } } ``` 说明： - `jobId` 是规范字段；`id` 可兼容使用。 - 在补丁中使用 `agentId: null` 可清除智能体绑定。 ### cron.run 和 cron.remove 参数 ```json { "jobId": "job-123", "mode": "force" } ``` ```json { "jobId": "job-123" } ``` ## 存储与历史 - 任务存储：`~/.openclaw/cron/jobs.json`（Gateway网关管理的 JSON）。 - 运行历史：`~/.openclaw/cron/runs/.jsonl`（JSONL，自动清理）。 - 覆盖存储路径：配置中的 `cron.store`。 ## 配置 ```json5 { cron: { enabled: true, // 默认 true store: "~/.openclaw/cron/jobs.json", maxConcurrentRuns: 1, // 默认 1 }, } ``` 完全禁用定时任务： - `cron.enabled: false`（配置） - `OPENCLAW\_SKIP\_CRON=1`（环境变量） ## CLI 快速开始 一次性提醒（UTC | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/automation/cron-jobs.md | main | opebclaw | [
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"force" } ``` ```json { "jobId": "job-123" } ``` ## 存储与历史 - 任务存储：`~/.openclaw/cron/jobs.json`（Gateway网关管理的 JSON）。 - 运行历史：`~/.openclaw/cron/runs/.jsonl`（JSONL，自动清理）。 - 覆盖存储路径：配置中的 `cron.store`。 ## 配置 ```json5 { cron: { enabled: true, // 默认 true store: "~/.openclaw/cron/jobs.json", maxConcurrentRuns: 1, // 默认 1 }, } ``` 完全禁用定时任务： - `cron.enabled: false`（配置） - `OPENCLAW\_SKIP\_CRON=1`（环境变量） ## CLI 快速开始 一次性提醒（UTC ISO，成功后自动删除）： ```bash openclaw cron add \ --name "Send reminder" \ --at "2026-01-12T18:00:00Z" \ --session main \ --system-event "Reminder: submit expense report." \ --wake now \ --delete-after-run ``` 一次性提醒（主会话，立即唤醒）： ```bash openclaw cron add \ --name "Calendar check" \ --at "20m" \ --session main \ --system-event "Next heartbeat: check calendar." \ --wake now ``` 周期性隔离任务（投递到 WhatsApp）： ```bash openclaw cron add \ --name "Morning status" \ --cron "0 7 \* \* \*" \ --tz "America/Los\_Angeles" \ --session isolated \ --message "Summarize inbox + calendar for today." \ --announce \ --channel whatsapp \ --to "+15551234567" ``` 周期性隔离任务（投递到 Telegram 主题）： ```bash openclaw cron add \ --name "Nightly summary (topic)" \ --cron "0 22 \* \* \*" \ --tz "America/Los\_Angeles" \ --session isolated \ --message "Summarize today; send to the nightly topic." \ --announce \ --channel telegram \ --to "-1001234567890:topic:123" ``` 带模型和思维覆盖的隔离任务： ```bash openclaw cron add \ --name "Deep analysis" \ --cron "0 6 \* \* 1" \ --tz "America/Los\_Angeles" \ --session isolated \ --message "Weekly deep analysis of project progress." \ --model "opus" \ --thinking high \ --announce \ --channel whatsapp \ --to "+15551234567" ``` 智能体选择（多智能体配置）： ```bash # 将任务绑定到智能体 "ops"（如果该智能体不存在则回退到默认智能体） openclaw cron add --name "Ops sweep" --cron "0 6 \* \* \*" --session isolated --message "Check ops queue" --agent ops # 切换或清除现有任务的智能体 openclaw cron edit --agent ops openclaw cron edit --clear-agent ``` 手动运行（调试）： ```bash openclaw cron run --force ``` 编辑现有任务（补丁字段）： ```bash openclaw cron edit \ --message "Updated prompt" \ --model "opus" \ --thinking low ``` 运行历史： ```bash openclaw cron runs --id --limit 50 ``` 不创建任务直接发送系统事件： ```bash openclaw system event --mode now --text "Next heartbeat: check battery." ``` ## Gateway网关 API 接口 - `cron.list`、`cron.status`、`cron.add`、`cron.update`、`cron.remove` - `cron.run`（强制或到期）、`cron.runs` 如需不创建任务直接发送系统事件，请使用 [`openclaw system event`](/cli/system)。 ## 故障排除 ### "没有任何任务运行" - 检查定时任务是否已启用：`cron.enabled` 和 `OPENCLAW\_SKIP\_CRON`。 - 检查 Gateway网关是否持续运行（定时任务运行在 Gateway网关进程内部）。 - 对于 `cron` 调度：确认时区（`--tz`）与主机时区的关系。 ### Telegram 投递到了错误的位置 - 对于论坛主题，使用 `-100…:topic:` 以确保明确无歧义。 - 如果你在日志或存储的"最后路由"目标中看到 `telegram:...` 前缀，这是正常的；定时任务投递接受这些前缀并仍能正确解析主题 ID。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/automation/cron-jobs.md | main | opebclaw | [
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# 投票 ## 支持的渠道 - WhatsApp（Web 渠道） - Discord - MS Teams（Adaptive Cards） ## CLI ```bash # WhatsApp openclaw message poll --target +15555550123 \ --poll-question "Lunch today?" --poll-option "Yes" --poll-option "No" --poll-option "Maybe" openclaw message poll --target 123456789@g.us \ --poll-question "Meeting time?" --poll-option "10am" --poll-option "2pm" --poll-option "4pm" --poll-multi # Discord openclaw message poll --channel discord --target channel:123456789 \ --poll-question "Snack?" --poll-option "Pizza" --poll-option "Sushi" openclaw message poll --channel discord --target channel:123456789 \ --poll-question "Plan?" --poll-option "A" --poll-option "B" --poll-duration-hours 48 # MS Teams openclaw message poll --channel msteams --target conversation:19:abc@thread.tacv2 \ --poll-question "Lunch?" --poll-option "Pizza" --poll-option "Sushi" ``` 选项： - `--channel`：`whatsapp`（默认）、`discord` 或 `msteams` - `--poll-multi`：允许选择多个选项 - `--poll-duration-hours`：仅限 Discord（省略时默认为 24） ## Gateway 网关 RPC 方法：`poll` 参数： - `to`（字符串，必需） - `question`（字符串，必需） - `options`（字符串数组，必需） - `maxSelections`（数字，可选） - `durationHours`（数字，可选） - `channel`（字符串，可选，默认：`whatsapp`） - `idempotencyKey`（字符串，必需） ## 渠道差异 - WhatsApp：2-12 个选项，`maxSelections` 必须在选项数量范围内，忽略 `durationHours`。 - Discord：2-10 个选项，`durationHours` 限制在 1-768 小时之间（默认 24）。`maxSelections > 1` 启用多选；Discord 不支持严格的选择数量限制。 - MS Teams：Adaptive Card 投票（由 OpenClaw 管理）。无原生投票 API；`durationHours` 被忽略。 ## 智能体工具（Message） 使用 `message` 工具的 `poll` 操作（`to`、`pollQuestion`、`pollOption`，可选 `pollMulti`、`pollDurationHours`、`channel`）。 注意：Discord 没有"恰好选择 N 个"模式；`pollMulti` 映射为多选。 Teams 投票以 Adaptive Cards 形式渲染，需要 Gateway 网关保持在线 以将投票记录到 `~/.openclaw/msteams-polls.json`。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/automation/poll.md | main | opebclaw | [
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# Webhooks Gateway 网关可以暴露一个小型 HTTP webhook 端点用于外部触发。 ## 启用 ```json5 { hooks: { enabled: true, token: "shared-secret", path: "/hooks", }, } ``` 注意事项： - 当 `hooks.enabled=true` 时，`hooks.token` 为必填项。 - `hooks.path` 默认为 `/hooks`。 ## 认证 每个请求必须包含 hook 令牌。推荐使用请求头： - `Authorization: Bearer `（推荐） - `x-openclaw-token: ` - `?token=`（已弃用；会记录警告日志，将在未来的主要版本中移除） ## 端点 ### `POST /hooks/wake` 请求体： ```json { "text": "System line", "mode": "now" } ``` - `text` \*\*必填\*\*（字符串）：事件描述（例如"收到新邮件"）。 - `mode` 可选（`now` | `next-heartbeat`）：是否立即触发心跳（默认 `now`）或等待下一次定期检查。 效果： - 为\*\*主\*\*会话加入一个系统事件队列 - 如果 `mode=now`，则立即触发心跳 ### `POST /hooks/agent` 请求体： ```json { "message": "Run this", "name": "Email", "sessionKey": "hook:email:msg-123", "wakeMode": "now", "deliver": true, "channel": "last", "to": "+15551234567", "model": "openai/gpt-5.2-mini", "thinking": "low", "timeoutSeconds": 120 } ``` - `message` \*\*必填\*\*（字符串）：智能体要处理的提示或消息。 - `name` 可选（字符串）：hook 的可读名称（例如"GitHub"），用作会话摘要的前缀。 - `sessionKey` 可选（字符串）：用于标识智能体会话的键。默认为随机的 `hook:`。使用一致的键可以在 hook 上下文中进行多轮对话。 - `wakeMode` 可选（`now` | `next-heartbeat`）：是否立即触发心跳（默认 `now`）或等待下一次定期检查。 - `deliver` 可选（布尔值）：如果为 `true`，智能体的响应将发送到消息渠道。默认为 `true`。仅为心跳确认的响应会自动跳过。 - `channel` 可选（字符串）：用于投递的消息渠道。可选值：`last`、`whatsapp`、`telegram`、`discord`、`slack`、`mattermost`（插件）、`signal`、`imessage`、`msteams`。默认为 `last`。 - `to` 可选（字符串）：渠道的接收者标识符（例如 WhatsApp/Signal 的电话号码、Telegram 的聊天 ID、Discord/Slack/Mattermost（插件）的频道 ID、MS Teams 的会话 ID）。默认为主会话中的最后一个接收者。 - `model` 可选（字符串）：模型覆盖（例如 `anthropic/claude-3-5-sonnet` 或别名）。如果有限制，必须在允许的模型列表中。 - `thinking` 可选（字符串）：思考级别覆盖（例如 `low`、`medium`、`high`）。 - `timeoutSeconds` 可选（数字）：智能体运行的最大持续时间（秒）。 效果： - 运行一个\*\*隔离的\*\*智能体回合（独立的会话键） - 始终在\*\*主\*\*会话中发布摘要 - 如果 `wakeMode=now`，则立即触发心跳 ### `POST /hooks/`（映射） 自定义 hook 名称通过 `hooks.mappings` 解析（见配置）。映射可以将任意请求体转换为 `wake` 或 `agent` 操作，支持可选的模板或代码转换。 映射选项（摘要）： - `hooks.presets: ["gmail"]` 启用内置的 Gmail 映射。 - `hooks.mappings` 允许你在配置中定义 `match`、`action` 和模板。 - `hooks.transformsDir` + `transform.module` 加载 JS/TS 模块用于自定义逻辑。 - 使用 `match.source` 保持通用的接收端点（基于请求体的路由）。 - TS 转换需要 TS 加载器（例如 `bun` 或 `tsx`）或运行时预编译的 `.js`。 - 在映射上设置 `deliver: true` + `channel`/`to` 可将回复路由到聊天界面（`channel` 默认为 `last`，回退到 WhatsApp）。 - `allowUnsafeExternalContent: true` 禁用该 hook 的外部内容安全包装（危险；仅用于受信任的内部来源）。 - `openclaw webhooks gmail setup` 为 `openclaw webhooks gmail run` 写入 `hooks.gmail` 配置。完整的 Gmail 监听流程请参阅 [Gmail Pub/Sub](/automation/gmail-pubsub)。 ## 响应 - `200` 用于 `/hooks/wake` - `202` 用于 `/hooks/agent`（异步运行已启动） - `401` 认证失败 - `400` 请求体无效 - `413` 请求体过大 ## 示例 ```bash curl -X POST http://127.0.0.1:18789/hooks/wake \ -H 'Authorization: Bearer SECRET' \ -H 'Content-Type: application/json' \ -d '{"text":"New email received","mode":"now"}' ``` ```bash curl -X POST http://127.0.0.1:18789/hooks/agent \ -H 'x-openclaw-token: SECRET' \ -H 'Content-Type: application/json' \ -d '{"message":"Summarize inbox","name":"Email","wakeMode":"next-heartbeat"}' ``` ### 使用不同的模型 在智能体请求体（或映射）中添加 `model` 以覆盖该次运行的模型： ```bash curl -X POST http://127.0.0.1:18789/hooks/agent \ -H 'x-openclaw-token: SECRET' \ -H 'Content-Type: application/json' \ -d '{"message":"Summarize inbox","name":"Email","model":"openai/gpt-5.2-mini"}' ``` 如果你启用了 `agents.defaults.models` 限制，请确保覆盖的模型包含在其中。 ```bash curl -X POST http://127.0.0.1:18789/hooks/gmail \ -H 'Authorization: Bearer SECRET' \ -H 'Content-Type: application/json' \ -d '{"source":"gmail","messages":[{"from":"Ada","subject":"Hello","snippet":"Hi"}]}' ``` ## 安全 - 将 hook 端点保持在 loopback、tailnet 或受信任的反向代理之后。 - 使用专用的 hook 令牌；不要复用 Gateway 网关认证令牌。 - 避免在 webhook 日志中包含敏感的原始请求体。 - Hook 请求体默认被视为不受信任并使用安全边界包装。如果你必须为特定 hook 禁用此功能，请在该 hook 的映射中设置 `allowUnsafeExternalContent: true`（危险）。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/automation/webhook.md | main | opebclaw | [
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# 定时任务与心跳：何时使用哪种方式 心跳和定时任务都可以按计划运行任务。本指南帮助你根据使用场景选择合适的机制。 ## 快速决策指南 | 使用场景 | 推荐方式 | 原因 | | ------------------------- | -------------------------- | ---------------------------------------- | | 每 30 分钟检查收件箱 | 心跳 | 可与其他检查批量处理，具备上下文感知能力 | | 每天上午 9 点准时发送报告 | 定时任务（隔离式） | 需要精确定时 | | 监控日历中即将到来的事件 | 心跳 | 天然适合周期性感知 | | 运行每周深度分析 | 定时任务（隔离式） | 独立任务，可使用不同模型 | | 20 分钟后提醒我 | 定时任务（主会话，`--at`） | 精确定时的一次性任务 | | 后台项目健康检查 | 心跳 | 搭载在现有周期上 | ## 心跳：周期性感知 心跳在\*\*主会话\*\*中以固定间隔运行（默认：30 分钟）。它的设计目的是让智能体检查各种事项并呈现重要信息。 ### 何时使用心跳 - \*\*多个周期性检查\*\*：与其设置 5 个独立的定时任务分别检查收件箱、日历、天气、通知和项目状态，不如用一次心跳批量处理所有内容。 - \*\*上下文感知决策\*\*：智能体拥有完整的主会话上下文，因此可以智能判断哪些紧急、哪些可以等待。 - \*\*对话连续性\*\*：心跳运行共享同一会话，因此智能体记得最近的对话，可以自然地进行后续跟进。 - \*\*低开销监控\*\*：一次心跳替代多个小型轮询任务。 ### 心跳优势 - \*\*批量处理多项检查\*\*：一次智能体轮次可以同时审查收件箱、日历和通知。 - \*\*减少 API 调用\*\*：一次心跳比 5 个隔离式定时任务更经济。 - \*\*上下文感知\*\*：智能体了解你一直在做什么，可以据此排定优先级。 - \*\*智能抑制\*\*：如果没有需要关注的事项，智能体回复 `HEARTBEAT\_OK`，不会投递任何消息。 - \*\*自然定时\*\*：会根据队列负载略有漂移，但对大多数监控来说没有问题。 ### 心跳示例：HEARTBEAT.md 检查清单 ```md # Heartbeat checklist - Check email for urgent messages - Review calendar for events in next 2 hours - If a background task finished, summarize results - If idle for 8+ hours, send a brief check-in ``` 智能体在每次心跳时读取此清单，并在一次轮次中处理所有项目。 ### 配置心跳 ```json5 { agents: { defaults: { heartbeat: { every: "30m", // 间隔 target: "last", // 告警投递目标 activeHours: { start: "08:00", end: "22:00" }, // 可选 }, }, }, } ``` 完整配置请参阅[心跳](/gateway/heartbeat)。 ## 定时任务：精确调度 定时任务在\*\*精确时间\*\*运行，可以在隔离会话中运行而不影响主会话上下文。 ### 何时使用定时任务 - \*\*需要精确定时\*\*："每周一上午 9:00 发送"（而不是"大约 9 点左右"）。 - \*\*独立任务\*\*：不需要对话上下文的任务。 - \*\*不同的模型/思维级别\*\*：需要更强大模型的深度分析。 - \*\*一次性提醒\*\*：使用 `--at` 实现"20 分钟后提醒我"。 - \*\*嘈杂/频繁的任务\*\*：会把主会话历史搞得杂乱的任务。 - \*\*外部触发器\*\*：无论智能体是否处于活跃状态都应独立运行的任务。 ### 定时任务优势 - \*\*精确定时\*\*：支持带时区的 5 字段 cron 表达式。 - \*\*会话隔离\*\*：在 `cron:` 中运行，不会污染主会话历史。 - \*\*模型覆盖\*\*：可按任务使用更便宜或更强大的模型。 - \*\*投递控制\*\*：隔离任务默认以 `announce` 投递摘要，可选 `none` 仅内部运行。 - \*\*无需智能体上下文\*\*：即使主会话空闲或已压缩，也能运行。 - \*\*一次性支持\*\*：`--at` 用于精确的未来时间戳。 ### 定时任务示例：每日早间简报 ```bash openclaw cron add \ --name "Morning briefing" \ --cron "0 7 \* \* \*" \ --tz "America/New\_York" \ --session isolated \ --message "Generate today's briefing: weather, calendar, top emails, news summary." \ --model opus \ --announce \ --channel whatsapp \ --to "+15551234567" ``` 这会在纽约时间每天早上 7:00 准时运行，使用 Opus 保证质量，并直接投递到 WhatsApp。 ### 定时任务示例：一次性提醒 ```bash openclaw cron add \ --name "Meeting reminder" \ --at "20m" \ --session main \ --system-event "Reminder: standup meeting starts in 10 minutes." \ --wake now \ --delete-after-run ``` 完整 CLI 参考请参阅[定时任务](/automation/cron-jobs)。 ## 决策流程图 ``` 任务是否需要在精确时间运行？ 是 -> 使用定时任务 否 -> 继续... 任务是否需要与主会话隔离？ 是 -> 使用定时任务（隔离式） 否 -> 继续... 此任务能否与其他周期性检查批量处理？ 是 -> 使用心跳（添加到 HEARTBEAT.md） 否 -> 使用定时任务 这是一次性提醒吗？ 是 -> 使用定时任务配合 --at 否 -> 继续... 是否需要不同的模型或思维级别？ 是 -> 使用定时任务（隔离式）配合 --model/--thinking 否 -> 使用心跳 ``` ## 组合使用 最高效的配置是\*\*两者结合\*\*： 1. \*\*心跳\*\*处理常规监控（收件箱、日历、通知），每 30 分钟批量处理一次。 2. \*\*定时任务\*\*处理精确调度（每日报告、每周回顾）和一次性提醒。 ### 示例：高效自动化配置 \*\*HEARTBEAT.md\*\*（每 30 分钟检查一次）： ```md # Heartbeat checklist - Scan inbox for urgent emails - Check calendar for events in next 2h - Review any pending tasks - Light check-in if quiet for 8+ hours ``` \*\*定时任务\*\*（精确定时）： ```bash # 每天早上 7 点的早间简报 openclaw cron add --name "Morning brief" --cron "0 7 \* \* \*" --session isolated --message "..." --announce # 每周一上午 9 点的项目回顾 openclaw cron add --name "Weekly review" --cron "0 9 \* \* 1" --session isolated --message "..." --model opus # 一次性提醒 openclaw cron add --name "Call back" --at "2h" --session main --system-event "Call back the client" --wake now ``` ## Lobster：带审批的确定性工作流 Lobster 是用于\*\*多步骤工具管道\*\*的工作流运行时，适用于需要确定性执行和明确审批的场景。当任务不只是单次智能体轮次，且你需要可恢复的带人工检查点的工作流时，使用它。 ### 何时适合使用 Lobster - \*\*多步骤自动化\*\*：你需要一个固定的工具调用管道，而不是一次性提示。 - \*\*审批关卡\*\*：副作用应暂停直到你批准，然后继续执行。 - \*\*可恢复运行\*\*：继续暂停的工作流而无需重新运行之前的步骤。 ### 如何与心跳和定时任务配合 - \*\*心跳/定时任务\*\*决定\*何时\*运行。 - \*\*Lobster\*\* 定义运行开始后\*执行哪些步骤\*。 对于计划性工作流，使用定时任务或心跳触发一次调用 Lobster 的智能体轮次。对于临时工作流，直接调用 Lobster。 ### 操作说明（来自代码） - Lobster 以\*\*本地子进程\*\*（`lobster` CLI）在工具模式下运行，并返回 \*\*JSON 信封\*\*。 - 如果工具返回 `needs\_approval`，你需要使用 `resumeToken` 和 `approve` 标志来恢复。 - 该工具是\*\*可选插件\*\*；建议通过 `tools.alsoAllow: ["lobster"]` 附加启用。 - 如果传入 `lobsterPath`，必须是\*\*绝对路径\*\*。 完整用法和示例请参阅 [Lobster](/tools/lobster)。 ## 主会话与隔离会话 心跳和定时任务都可以与主会话交互，但方式不同： | | 心跳 | 定时任务（主会话） | 定时任务（隔离式） | | ------ | ------------------------ | ---------------------- | --------------------- | | 会话 | 主会话 | 主会话（通过系统事件） | `cron:` | | 历史 | 共享 | 共享 | 每次运行全新 | | 上下文 | 完整 | 完整 | 无（从零开始） | | 模型 | 主会话模型 | 主会话模型 | 可覆盖 | | 输出 | 非 `HEARTBEAT\_OK` 时投递 | 心跳提示 + 事件 | announce 摘要（默认） | ### 何时使用主会话定时任务 当你需要以下场景时，使用 `--session main` 配合 `--system-event`： - 提醒/事件出现在主会话上下文中 - 智能体在下一次心跳时带着完整上下文处理它 - 不需要单独的隔离运行 ```bash openclaw cron add \ --name | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/automation/cron-vs-heartbeat.md | main | opebclaw | [
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上下文 | 完整 | 完整 | 无（从零开始） | | 模型 | 主会话模型 | 主会话模型 | 可覆盖 | | 输出 | 非 `HEARTBEAT\_OK` 时投递 | 心跳提示 + 事件 | announce 摘要（默认） | ### 何时使用主会话定时任务 当你需要以下场景时，使用 `--session main` 配合 `--system-event`： - 提醒/事件出现在主会话上下文中 - 智能体在下一次心跳时带着完整上下文处理它 - 不需要单独的隔离运行 ```bash openclaw cron add \ --name "Check project" \ --every "4h" \ --session main \ --system-event "Time for a project health check" \ --wake now ``` ### 何时使用隔离式定时任务 当你需要以下场景时，使用 `--session isolated`： - 无先前上下文的全新环境 - 不同的模型或思维设置 - 输出可通过 `announce` 直接投递摘要（或用 `none` 仅内部运行） - 不会把主会话搞得杂乱的历史记录 ```bash openclaw cron add \ --name "Deep analysis" \ --cron "0 6 \* \* 0" \ --session isolated \ --message "Weekly codebase analysis..." \ --model opus \ --thinking high \ --announce ``` ## 成本考量 | 机制 | 成本特征 | | ------------------ | ---------------------------------------------- | | 心跳 | 每 N 分钟一次轮次；随 HEARTBEAT.md 大小扩展 | | 定时任务（主会话） | 将事件添加到下一次心跳（无隔离轮次） | | 定时任务（隔离式） | 每个任务一次完整智能体轮次；可使用更便宜的模型 | \*\*建议\*\*： - 保持 `HEARTBEAT.md` 精简以减少 token 开销。 - 将类似的检查批量放入心跳，而不是创建多个定时任务。 - 如果只需要内部处理，在心跳上使用 `target: "none"`。 - 对常规任务使用隔离式定时任务配合更便宜的模型。 ## 相关内容 - [心跳](/gateway/heartbeat) - 完整的心跳配置 - [定时任务](/automation/cron-jobs) - 完整的定时任务 CLI 和 API 参考 - [系统](/cli/system) - 系统事件 + 心跳控制 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/automation/cron-vs-heartbeat.md | main | opebclaw | [
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# 认证监控 OpenClaw 通过 `openclaw models status` 提供 OAuth 过期健康状态。请使用该命令进行自动化和告警；脚本是为手机工作流程提供的可选附加功能。 ## 推荐方式：CLI 检查（可移植） ```bash openclaw models status --check ``` 退出码： - `0`：正常 - `1`：凭证过期或缺失 - `2`：即将过期（24 小时内） 此方式适用于 cron/systemd，无需额外脚本。 ## 可选脚本（运维 / 手机工作流程） 这些脚本位于 `scripts/` 目录下，属于\*\*可选\*\*内容。它们假定你可以通过 SSH 访问 Gateway 网关主机，并针对 systemd + Termux 进行了调优。 - `scripts/claude-auth-status.sh` 现在使用 `openclaw models status --json` 作为数据来源（如果 CLI 不可用则回退到直接读取文件），因此请确保 `openclaw` 在定时器的 `PATH` 中。 - `scripts/auth-monitor.sh`：cron/systemd 定时器目标；发送告警（ntfy 或手机）。 - `scripts/systemd/openclaw-auth-monitor.{service,timer}`：systemd 用户定时器。 - `scripts/claude-auth-status.sh`：Claude Code + OpenClaw 认证检查器（完整/json/简洁模式）。 - `scripts/mobile-reauth.sh`：通过 SSH 引导的重新认证流程。 - `scripts/termux-quick-auth.sh`：一键小部件状态查看 + 打开认证 URL。 - `scripts/termux-auth-widget.sh`：完整的引导式小部件流程。 - `scripts/termux-sync-widget.sh`：同步 Claude Code 凭证 → OpenClaw。 如果你不需要手机自动化或 systemd 定时器，可以跳过这些脚本。 | https://github.com/openclaw/openclaw/blob/main//docs/zh-CN/automation/auth-monitoring.md | main | opebclaw | [
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