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.
85 lines
4.3 KiB
Markdown
85 lines
4.3 KiB
Markdown
---
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title: 携手 AMD 开发者计划：免费领取 $50 Fireworks 额度，直连 PenguinHarness
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date: 2026-07-20
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category: news
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excerpt: 我们很高兴与 AMD AI Developer Program 合作，为大家带来 Fireworks 的免费兑换码——按本文申请 $50 Credits，再在 PenguinHarness 里三步用起来。
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---
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我们很高兴与 **AMD AI Developer Program**（AMD 开发者计划）合作，为大家带来 Fireworks 的免费兑换码：加入计划并通过审核，即可获得可兑换 **$50 Fireworks AI Credits** 的 Coupon Code。PenguinHarness 内置 Fireworks AI 网关分组——OpenAI 协议、预置 base URL 与五个模型，额度到手即刻可用。
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> 页面内容、Credits 金额与有效期可能调整，请以申请时的页面及审批邮件为准。
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## 第一步：加入 AMD AI Developer Program
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访问官方入口：<https://developer.amd.com/ai-developer-program/>，在 **Join the AMD AI Developer Program** 区域：
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- 没有 AMD ADP 账户：点击 **Create Account**，填写个人信息创建账户；
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- 已有账户：点击 **Log In**，按页面提示登录。
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## 第二步：在 Member Perks 申请 Cloud Credits
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注册并登录后：
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1. 点击顶部导航栏中的 **Member Perks**；
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2. 找到 **Cloud Credit Options**；
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3. 点击底部的 **Request Cloud Credits**。
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## 第三步：填写申请表
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进入申请表后填写个人信息：
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- **Product Needed** 处选择 **Fireworks AI**；
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- **Profile** 处提供至少一个公开资料用于账户验证：LinkedIn、GitHub、Portfolio、公司 / 学校主页、WeChat、WeCom 等均可。
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填完页面中其他带 `*` 的必填项，检查邮箱、身份、产品选项与公开资料链接无误后提交。
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## 第四步：等待审核
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AMD 会验证账户与申请资料，通常需要 **2–3 个工作日**；实际时间可能因申请量、资料完整度或节假日而变化。
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## 第五步：收到兑换码并兑换
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审核通过后，AMD 会向申请邮箱发送包含唯一 **Coupon Code** 的邮件，可兑换 **$50 Fireworks AI Credits**。请妥善保存，不要公开、转发或提交到代码仓库。
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兑换与创建 API key：
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1. 打开 <https://fireworks.ai/> 并登录；
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2. 点击 **Redeem Promo**，输入邮件中的 Coupon Code，兑换 $50 Credits；
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3. 点击 **Create API Key**，生成 Fireworks API key。
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## 在 PenguinHarness 中用起来
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拿到 API key 后，三步接入：
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**1. 安装并启动**
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```bash
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curl -fsSL https://penguin.ooo/install.sh | sh
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penguin web # 打开 http://127.0.0.1:7364（首次登录：admin / penguin-2026）
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```
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**2. 配置 Fireworks 模型**
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进入「模型仓库」页，找到 **Fireworks AI** 分组，点击「统一配置 key」粘贴刚创建的 API key。分组预置了五个模型——GLM 5.2、Kimi K2.7 Code、DeepSeek V4 Pro、MiniMax M3、DeepSeek V4 Flash——base URL 与价格已填好，任选一个设为默认即可；也可以点组头的「测速」，实测各模型的 TTFT 与 TPS 再决定。
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**3. 开始使用**
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回到对话页，把第一个任务交给 Agent——例如「分析 data.csv，输出各季度销售额汇总」。
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## 参考链接
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- [AMD AI Developer Program](https://developer.amd.com/ai-developer-program/)
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- [AMD 官方 Cloud Credits 申请视频演示](https://www.youtube.com/watch?v=masSW53JkTY)
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- 申请步骤与截图整理自 WhatGhost 的申请指南（[中文](https://github.com/WhatGhost/whatghost_Notebooks/blob/main/other/AMD_AI_Developer_Program_Credits_%E7%94%B3%E8%AF%B7%E6%8C%87%E5%8D%97.md) / [English](https://github.com/WhatGhost/whatghost_Notebooks/blob/main/other/AMD_AI_Developer_Program_Credits_Application_Guide_EN.md)），感谢原作者
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- [PenguinHarness 模型配置文档](https://penguin.ooo/docs/models)
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