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docs(i18n): translate all docs into Simplified Chinese (zh-Hans) (#31942)
Translates the full English docs corpus (335 files) into Simplified Chinese under website/i18n/zh-Hans/. Combined with PR #31895 (cross- locale link fix), the 简体中文 locale toggle now serves a complete Chinese site with working cross-page navigation. Pipeline: - Claude Sonnet 4.6 via OpenRouter, 8-way concurrent - Preserves frontmatter keys, code blocks, MDX/JSX, link URLs, brand names, and technical jargon (prompt/token/hook/MCP/ACP/etc.) - Translates only frontmatter title/description and prose - Two largest files (configuration.md 93KB, research-paper-writing.md 107KB) retried with 64K max_tokens after initial fence-drift - 3 manual post-fixes for MDX edge cases the model didn't escape: < in optional-skills-catalog table, double-quotes in an alt= tag, and a bare URL adjacent to a full-width period Cost: ~$30 total (Sonnet 4.6 input $3/M + output $15/M). Verified `npm run build` succeeds for both en and zh-Hans locales, no double-prefixed /docs/zh-Hans/docs/ URLs in rendered output, all in-page navigation resolves correctly. Translations are machine-generated and may need human review on specific pages — but they're an enormous improvement over the previous state (3 zh-Hans pages out of 335).
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---
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sidebar_position: 2
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title: "添加工具"
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description: "如何向 Hermes Agent 添加新工具——schema、handler、注册与 toolset"
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---
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# 添加工具
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在编写工具之前,先问自己:**这是否应该是一个 [skill](creating-skills.md)?**
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:::warning 仅限内置核心工具
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本页面用于向仓库本身添加 **Hermes 内置工具**。
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如果你想要个人专用、项目本地或其他自定义工具,而不修改 Hermes 核心,请使用插件方式:
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- [插件](/user-guide/features/plugins)
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- [构建 Hermes 插件](/guides/build-a-hermes-plugin)
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大多数自定义工具创建场景默认使用插件。只有当你明确希望在 `tools/` 和 `toolsets.py` 中发布新的内置工具时,才遵循本页面。
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:::
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以下情况应创建 **Skill**:该能力可以通过指令 + shell 命令 + 现有工具来实现(如 arXiv 搜索、git 工作流、Docker 管理、PDF 处理)。
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以下情况应创建 **Tool**:需要与 API 密钥进行端到端集成、自定义处理逻辑、二进制数据处理或流式传输(如浏览器自动化、TTS、视觉分析)。
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## 概述
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添加一个工具涉及 **2 个文件**:
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1. **`tools/your_tool.py`** — handler、schema、check 函数、`registry.register()` 调用
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2. **`toolsets.py`** — 将工具名称添加到 `_HERMES_CORE_TOOLS`(或特定 toolset)
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任何包含顶层 `registry.register()` 调用的 `tools/*.py` 文件都会在启动时被自动发现——无需手动维护导入列表。
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## 第一步:创建内置工具文件
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每个工具文件遵循相同的结构:
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```python
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# tools/weather_tool.py
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"""Weather Tool -- look up current weather for a location."""
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import json
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import os
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import logging
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logger = logging.getLogger(__name__)
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# --- Availability check ---
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def check_weather_requirements() -> bool:
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"""Return True if the tool's dependencies are available."""
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return bool(os.getenv("WEATHER_API_KEY"))
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# --- Handler ---
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def weather_tool(location: str, units: str = "metric") -> str:
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"""Fetch weather for a location. Returns JSON string."""
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api_key = os.getenv("WEATHER_API_KEY")
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if not api_key:
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return json.dumps({"error": "WEATHER_API_KEY not configured"})
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try:
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# ... call weather API ...
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return json.dumps({"location": location, "temp": 22, "units": units})
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except Exception as e:
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return json.dumps({"error": str(e)})
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# --- Schema ---
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WEATHER_SCHEMA = {
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"name": "weather",
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"description": "Get current weather for a location.",
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"parameters": {
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"type": "object",
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"properties": {
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"location": {
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"type": "string",
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"description": "City name or coordinates (e.g. 'London' or '51.5,-0.1')"
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},
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"units": {
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"type": "string",
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"enum": ["metric", "imperial"],
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"description": "Temperature units (default: metric)",
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"default": "metric"
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}
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},
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"required": ["location"]
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}
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}
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# --- Registration ---
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from tools.registry import registry
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registry.register(
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name="weather",
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toolset="weather",
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schema=WEATHER_SCHEMA,
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handler=lambda args, **kw: weather_tool(
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location=args.get("location", ""),
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units=args.get("units", "metric")),
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check_fn=check_weather_requirements,
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requires_env=["WEATHER_API_KEY"],
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)
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```
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### 关键规则
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:::danger 重要
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- Handler **必须**返回 JSON 字符串(通过 `json.dumps()`),不得返回原始 dict
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- 错误**必须**以 `{"error": "message"}` 形式返回,不得抛出异常
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- `check_fn` 在构建工具定义时被调用——若返回 `False`,该工具将被静默排除
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- `handler` 接收 `(args: dict, **kwargs)`,其中 `args` 是 LLM 的工具调用参数
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:::
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## 第二步:将内置工具添加到 Toolset
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在 `toolsets.py` 中添加工具名称:
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```python
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# If it should be available on all platforms (CLI + messaging):
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_HERMES_CORE_TOOLS = [
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...
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"weather", # <-- add here
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]
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# Or create a new standalone toolset:
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"weather": {
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"description": "Weather lookup tools",
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"tools": ["weather"],
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"includes": []
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},
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```
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## ~~第三步:添加发现导入~~(不再需要)
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包含顶层 `registry.register()` 调用的工具模块会由 `tools/registry.py` 中的 `discover_builtin_tools()` 自动发现。无需手动维护导入列表——只需在 `tools/` 中创建文件,启动时即可自动加载。
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## 异步 Handler
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如果你的 handler 需要异步代码,使用 `is_async=True` 标记:
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```python
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async def weather_tool_async(location: str) -> str:
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async with aiohttp.ClientSession() as session:
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...
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return json.dumps(result)
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registry.register(
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name="weather",
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toolset="weather",
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schema=WEATHER_SCHEMA,
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handler=lambda args, **kw: weather_tool_async(args.get("location", "")),
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check_fn=check_weather_requirements,
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is_async=True, # registry calls _run_async() automatically
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)
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```
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registry 会透明地处理异步桥接——你无需自己调用 `asyncio.run()`。
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## 需要 task_id 的 Handler
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管理每个会话状态的工具通过 `**kwargs` 接收 `task_id`:
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```python
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def _handle_weather(args, **kw):
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task_id = kw.get("task_id")
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return weather_tool(args.get("location", ""), task_id=task_id)
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registry.register(
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name="weather",
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...
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handler=_handle_weather,
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)
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```
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## Agent 循环拦截工具
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某些工具(`todo`、`memory`、`session_search`、`delegate_task`)需要访问每个会话的 agent 状态。这些工具在到达 registry 之前会被 `run_agent.py` 拦截。registry 仍然保存它们的 schema,但如果绕过拦截,`dispatch()` 会返回一个回退错误。
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## 可选:Setup Wizard 集成
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如果你的工具需要 API 密钥,将其添加到 `hermes_cli/config.py`:
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```python
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OPTIONAL_ENV_VARS = {
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...
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"WEATHER_API_KEY": {
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"description": "Weather API key for weather lookup",
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"prompt": "Weather API key",
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"url": "https://weatherapi.com/",
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"tools": ["weather"],
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"password": True,
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},
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}
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```
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## 检查清单
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- [ ] 已创建包含 handler、schema、check 函数和注册调用的工具文件
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- [ ] 已在 `toolsets.py` 中添加到适当的 toolset
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- [ ] 已确认该工具确实应为内置/核心工具而非插件
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- [ ] Handler 返回 JSON 字符串,错误以 `{"error": "..."}` 形式返回
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- [ ] 可选:已将 API 密钥添加到 `hermes_cli/config.py` 的 `OPTIONAL_ENV_VARS`
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- [ ] 可选:已添加到 `toolset_distributions.py` 以支持批量处理
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- [ ] 已通过 `hermes chat -q "Use the weather tool for London"` 测试
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