Files
penguin-harness/packages/landing/content/blog/fireworks-credits-amd.en.md
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Yaowei Zheng d4faee3a1e Changelog, dev startup, README, AgentHub 0.4.0, model catalog, and landing site (#7)
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.
2026-07-21 17:43:31 +08:00

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---
title: "Partnering with the AMD Developer Program: $50 in free Fireworks credits, wired into PenguinHarness"
date: 2026-07-20
category: news
excerpt: We are delighted to partner with the AMD AI Developer Program to bring you free Fireworks coupon codes — apply for the $50 credits with this guide, then set them up in PenguinHarness in three steps.
---
We are delighted to partner with the **AMD AI Developer Program** to bring you free Fireworks redemption codes: join the program, pass the review, and you receive a Coupon Code redeemable for **$50 in Fireworks AI Credits**. PenguinHarness ships a built-in Fireworks AI gateway group — OpenAI protocol, preset base URL, five preset models — so the credits are usable the moment they land.
> Page content, credit amounts, and expiration dates are subject to change. Please refer to the application page and approval email for the latest information.
## Step 1: Join the AMD AI Developer Program
Visit the official page: <https://developer.amd.com/ai-developer-program/>. In the **Join the AMD AI Developer Program** section:
- No AMD ADP account yet: click **Create Account** and enter your personal information;
- Already have one: click **Log In** and follow the on-screen instructions.
![The AMD AI Developer Program join page](https://github.com/user-attachments/assets/47a3055b-9a95-40a1-80c6-e3bac7a9ac49)
## Step 2: Request Cloud Credits under Member Perks
After registering and signing in:
1. Click **Member Perks** in the top navigation bar;
2. Find **Cloud Credit Options**;
3. Click **Request Cloud Credits** at the bottom of the page.
![Cloud Credit Options under Member Perks](https://github.com/user-attachments/assets/773f8cf1-d72f-4aa3-83b8-f31fc7c9ed9e)
## Step 3: Complete the application form
Fill in the requested personal information:
- Under **Product Needed**, select **Fireworks AI**;
- In the **Profile** section, provide at least one public profile for account verification: LinkedIn, GitHub, a portfolio, a company or school profile, WeChat, WeCom, and similar all work.
![Application form: select Fireworks AI under Product Needed](https://github.com/user-attachments/assets/12a49136-0956-4f29-9d47-f0e473615075)
Complete the other required fields marked with `*`, double-check your email, identity, product selection, and profile link, then submit.
## Step 4: Wait for the review
AMD verifies your account and application, usually within **2–3 business days** — actual time varies with application volume, information completeness, and holidays.
## Step 5: Receive and redeem the coupon code
Once approved, AMD emails a unique **Coupon Code** redeemable for **$50 in Fireworks AI Credits** to your application address. Keep it secure — do not share it publicly, forward it, or commit it to a repository.
![The Coupon Code in the approval email](https://github.com/user-attachments/assets/c53129c7-2c87-4510-a4e3-31f52598dc24)
Redeem it and create an API key:
1. Open <https://fireworks.ai/> and sign in;
2. Click **Redeem Promo** and enter the Coupon Code from the email to redeem the $50 credits;
3. Click **Create API Key** to generate your Fireworks API key.
![Redeeming and creating an API key in the Fireworks console](https://github.com/user-attachments/assets/051a1e69-db7f-4867-b899-89981df15142)
## Set it up in PenguinHarness
With the API key in hand, three steps:
**1. Install and launch**
```bash
curl -fsSL https://penguin.ooo/install.sh | sh
penguin web # opens http://127.0.0.1:7364 (first login: admin / penguin-2026)
```
**2. Configure a Fireworks model**
Open the Models page and find the **Fireworks AI** group, then use its bulk key button to paste the API key you just created. The group presets five models — GLM 5.2, Kimi K2.7 Code, DeepSeek V4 Pro, MiniMax M3, and DeepSeek V4 Flash — with base URLs and pricing pre-filled; set any of them as the default. You can also hit the group's speed-test button to measure real TTFT and TPS before choosing.
**3. Start working**
Head back to Chat and hand the Agent its first task — e.g. "Analyze data.csv and summarize quarterly sales".
## References
- [AMD AI Developer Program](https://developer.amd.com/ai-developer-program/)
- [Official AMD Cloud Credits application video tutorial](https://www.youtube.com/watch?v=masSW53JkTY)
- Application steps and screenshots are adapted from WhatGhost's guides ([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)) — thanks to the original author
- [PenguinHarness model configuration docs](https://penguin.ooo/docs/models)