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.
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title, date, category, excerpt
| title | date | category | excerpt |
|---|---|---|---|
| Partnering with the AMD Developer Program: $50 in free Fireworks credits, wired into PenguinHarness | 2026-07-20 | news | 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.
Step 2: Request Cloud Credits under Member Perks
After registering and signing in:
- Click Member Perks in the top navigation bar;
- Find Cloud Credit Options;
- Click Request Cloud Credits at the bottom of the page.
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.
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.
Redeem it and create an API key:
- Open https://fireworks.ai/ and sign in;
- Click Redeem Promo and enter the Coupon Code from the email to redeem the $50 credits;
- Click Create API Key to generate your Fireworks API key.
Set it up in PenguinHarness
With the API key in hand, three steps:
1. Install and launch
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
- Official AMD Cloud Credits application video tutorial
- Application steps and screenshots are adapted from WhatGhost's guides (中文 / English) — thanks to the original author
- PenguinHarness model configuration docs