Yaowei Zheng
d4faee3a1e
Branch-length batch covering tooling, the model layer, the Web App and the public surfaces. Highlights: - Changelog: a per-release `changelog/<version>/` tree, grouped by the surface each change touches, with a root CHANGELOG.md holding one line per release. - Dev startup: `scripts/dev-prebuild.mjs` serializes the skills+core prebuild behind a lock and keeps `pnpm install` current; `pnpm dev` runs server+web together. - AgentHub 0.3.3 -> 0.4.0: OmniMessage complete payloads carry one opaque `fidelity` object in place of item-level `signature`/`phase`, threaded verbatim through Trace, replay and resume; malformed classification adapted to the new error types. - Model layer: a model is always referenced by an explicit `(provider, model_id)` pair. The provider is never inferred, guessed or defaulted -- both the catalog inference and the unique-match config resolution are gone, and CLI, SDK, server routes and run_subagent all require the complete pair. Catalog gains the Qwen Token Plan, Qwen Pay-As-You-Go and Fireworks AI gateways, plus an expanded OpenRouter group. - Web App: catalog preset sync and per-group speed test on the Models page, positional slash commands, a markdown renderer, skill-library update reminders, and a vertically centred draft page whose upward menus size themselves to the room available. - Public surfaces: restructured READMEs, the penguin.ooo landing site and blog, refreshed benchmark results for both suites, and the demo videos playing on the landing page. Includes the fixes from a full review of the branch: 23 confirmed findings, among them a provider-inference bug that could send one vendor's API key to another vendor's endpoint, and an Escape handler that destroyed the composer's contents unrecoverably. Verified on the branch head: pnpm test (1127 passing, 7 packages), pnpm typecheck and pnpm format:check clean, Playwright e2e 14/14.
77 lines
2.5 KiB
Markdown
77 lines
2.5 KiB
Markdown
---
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title: 快速开始
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description: 安装 PenguinHarness、配置模型并运行第一个 Task。
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---
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## 安装
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Linux / macOS 一键安装：
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```bash
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curl -fsSL https://penguin.ooo/install.sh | sh
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```
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其他方式（npm、源码）见[安装](/installation)。
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## 配置模型
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PenguinHarness 不内置任何模型凭据，使用前需要先配置一个模型。可以在 Web UI 的 Models 页面完成，也可以用 CLI：
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```bash
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penguin config model add --provider deepseek --model-id deepseek-v4-pro --api-key sk-... --set-default
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```
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- 模型引用始终是 `(provider, model_id)` 二元组，因此 `--provider` 与 `--model-id` 均为必填——Provider 绝不由模型 id 推断。内置分组见[模型与 Provider](/models)。
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- API Key 也可以来自环境变量：当模型条目没有内联 api_key 时，LLM 网关库 AgentHub 会读取 `DEEPSEEK_API_KEY`、`ANTHROPIC_API_KEY`、`OPENAI_API_KEY`、`GEMINI_API_KEY` 等变量；工作目录下的 `.env` 会被自动加载。
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## 启动 Web App
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```bash
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penguin web
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```
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服务运行在 http://127.0.0.1:7364 并自动打开浏览器（`--no-open` 跳过）。首次登录使用 `admin` / `penguin-2026`，请立即修改密码。`penguin server` 启动同一进程的 headless 版本。
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## 单次运行
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```bash
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penguin run -m "创建 hello.txt，内容为 Hello, Penguin"
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```
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Workspace 默认为当前目录，可用 `--workspace /path` 指定；目标目录必须已存在。
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## 交互式对话
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```bash
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penguin chat
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```
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- 每输入一行即发起一个 Task。
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- `/compact` 压缩上下文；`/exit` 或 `/quit` 退出；Ctrl-C 中断正在运行的 Task。
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- 退出时会打印 `penguin chat --resume <sessionId>` 提示，用于恢复本次 Session；`--resume` 不带 id 时恢复该 Agent 最近的 Session。
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## SDK 示例
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安装 `@prismshadow/penguin-core` 后：
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```ts
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import { createAgent, isCompleteModelMessage, userText } from "@prismshadow/penguin-core";
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const agent = await createAgent({ agentId: "default_agent" });
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const session = await agent.createSession({ workspaceDir: process.cwd() });
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for await (const output of session.run([userText("Create hello.txt containing hi")], {
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approve: async () => "allow",
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})) {
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if (isCompleteModelMessage(output) && output.payload.type === "text") {
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console.log(output.payload.text);
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}
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}
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```
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## 下一步
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- [Web App 指南](/web-app)：在浏览器中使用 PenguinHarness。
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- [CLI 参考](/cli)：完整命令与选项。
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- [架构总览](/architecture)：了解整体设计。
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