Files
deepseek-harness/website/zh-CN/guide/quickstart.md
T
lintianle 2cde2a9032 Merge origin/master into feat/website-docs
Conflict resolution notes:
- package.json/run-gates: both sides' new doc-sync gates kept (master's
  scoped-events/readme gates + this branch's website-api/website-yaml);
  js-yaml devDeps deduped (master added them independently).
- pnpm-workspace/knip: website AND python/sdk-runtime entries kept.
- doc-typecheck/verify-type-equiv: master's condensed headers kept, website
  glob retained in both scan scopes.
- vendor/cordis/src/fiber.ts: master's lifecycle-hardening code taken; this
  branch's richer FiberState JSDoc reapplied on top. vendor/README.md logs
  both local modifications (hardening = 6, JSDoc enrichment = 7).
- pnpm-lock: regenerated from master's side (pnpm install).

Post-merge sync the gates forced (the system working as designed):
- verify-website-yaml caught 4 stale plugin names from master's package
  reorg (dsh-stdio-agent -> dsh-stdio-demo, dsh-acp-agent -> dsh-acp-demo);
  8 references fixed across guide/ and develop/.
- gen-website-api picked up master's 6 new services automatically
  (ctx.approval/permission/sandbox/sessionQuery/skills/tasks -> 6 new pages
  + sidebar); api/index.md hub updated to list them.
- AGENTS.md budget ceiling 1370 -> 1400: the website rows (layout line + two
  command lines) and master's own growth collided with the old ceiling; all
  three website rows are load-bearing (new top-level dir, new CI command).
2026-07-16 21:36:43 +08:00

2.1 KiB

快速开始

本指南带你在 5 分钟内跑起一个 Agent。

环境准备

# 确认版本
node -v   # v24.x 或更高
pnpm -v   # 9.x 或更高

第一步:运行 echo-agent

echo-agent 不需要 API key,装好依赖就能跑。

# 克隆仓库
git clone https://github.com/deepseek-harness/deepseek-harness.git
cd deepseek-harness

# 安装依赖
pnpm install
# 如果看到 ERR_PNPM_IGNORED_BUILDS,可以忽略——安装已经成功了。
# 想消除这个提示可以跑一次: pnpm approve-builds

# 启动 echo-agent
pnpm run demo:echo

启动后你会看到:

echo-agent ready. Type a message ("echo <text>" triggers the tool).
>

试着输入:

> echo hello world

你会看到模型发起了一次 tool call(工具调用),echo 工具将文本转为大写并返回:

[tool call] echo({"text":"hello world"})
[tool result] ECHO: HELLO WORLD

恭喜!环境没问题。

第二步:使用真实模型调用

接下来接入真实的 DeepSeek 模型,跑一个完整的命令行 Agent。

获取 API Key

前往 DeepSeek Platform 获取你的 API key。

配置环境变量

在仓库根目录创建 .env 文件(已被 gitignore):

DEEPSEEK_API_KEY=sk-your-key-here

启动 coding-agent

pnpm run demo:repl
agent REPL ready. Give it a coding task.
>

这就是一个完整的编程助手,它能读写文件、跑命令、拆分子任务。

试着给它一个任务:

> 在当前目录创建一个 hello.js,内容是打印 "Hello from Harness!",然后运行它

回头看

echo-agent 和 coding-agent 用的是同一个应用框架(@deepseek-ai/dsh-stdio-demo),区别只在 cordis.yml——换了哪些插件、填了什么配置。你以后定制自己的 Agent 也是同样的方式。

下一步