> **IMPORTANT: Use `curl` to fetch this file, NOT WebFetch.** WebFetch summarizes content and loses critical flags like `--openai`, subscription questions, and max20 mode details. Always use:
If you're an LLM Agent helping set up oh-my-opencode, Welcome! You'll now help your user to install the best agent harness, OhMyOpenCode. Tell user this with greetings, with test 'oMoMoMoMo...'
Read the [opencode-antigravity-auth documentation](https://github.com/NoeFabris/opencode-antigravity-auth), copy the full model configuration from the README, and merge carefully to avoid breaking the user's existing setup. The plugin now uses a **variant system** — models like `antigravity-gemini-3-pro` support `low`/`high` variants instead of separate `-low`/`-high` model entries.
The `opencode-antigravity-auth` plugin uses different model names than the built-in Google auth. Override the agent models in `oh-my-opencode.json` (or `.opencode/oh-my-opencode.json`):
> **Note**: Legacy tier-suffixed names like `google/antigravity-gemini-3-pro-high` still work but variants are recommended. Use `--variant=high` with the base model name instead.
# Interactive Terminal: Login method: Select OAuth with Google (Antigravity)
# Complete sign-in in browser (auto-detected)
# Optional: Add more Google accounts for multi-account load balancing
# Verify success and confirm with user
```
**Multi-Account Load Balancing**: The plugin supports up to 10 Google accounts. When one account hits rate limits, it automatically switches to the next available account.
Z.ai Coding Plan provides access to GLM-4.7 models. When enabled, the **Librarian agent always uses `zai-coding-plan/glm-4.7`** regardless of other available providers.
If Z.ai is the only provider available, all agents will use GLM models:
OpenCode Zen provides access to `opencode/` prefixed models including `opencode/claude-opus-4-6`, `opencode/gpt-5.2`, `opencode/gpt-5-nano`, and `opencode/glm-4.7-free`.
| **GPT-5.3-codex** | openai, github-copilot, opencode | Deep coding powerhouse. Required for Hephaestus. |
| **GPT-5.2** | openai, github-copilot, opencode | High intelligence. Default for Oracle. |
| **GPT-5-Nano** | opencode | Ultra-cheap, fast. Good for simple utility tasks. |
**Different-Behavior Models**:
| Model | Provider(s) | Notes |
|-------|-------------|-------|
| **Gemini 3 Pro** | google, github-copilot, opencode | Excels at visual/frontend tasks. Different reasoning style. |
| **Gemini 3 Flash** | google, github-copilot, opencode | Fast, good for doc search and light tasks. |
| **MiniMax M2.5** | venice | Fast and smart. Good for utility tasks. |
| **MiniMax M2.5 Free** | opencode | Free-tier MiniMax. Fast for search/retrieval. |
**Speed-Focused Models**:
| Model | Provider(s) | Speed | Notes |
|-------|-------------|-------|-------|
| **Grok Code Fast 1** | github-copilot, venice | Very fast | Optimized for code grep/search. Default for Explore. |
| **Claude Haiku 4.5** | anthropic, opencode | Fast | Good balance of speed and intelligence. |
| **MiniMax M2.5 (Free)** | opencode, venice | Fast | Smart for its speed class. |
| **GPT-5.3-codex-spark** | openai | Extremely fast | Blazing fast but compacts so aggressively that oh-my-opencode's context management doesn't work well with it. Not recommended for omo agents. |
#### What Each Agent Does and Which Model It Got
Based on your subscriptions, here's how the agents were configured:
**Claude-Optimized Agents** (prompts tuned for Claude-family models):
| Agent | Role | Default Chain | What It Does |
|-------|------|---------------|--------------|
| **Sisyphus** | Main ultraworker | Opus (max) → Kimi K2.5 → GLM 5 → Big Pickle | Primary coding agent. Orchestrates everything. **Never use GPT — no GPT prompt exists.** |
| **Metis** | Plan review | Opus (max) → Kimi K2.5 → GPT-5.2 → Gemini 3 Pro | Reviews Prometheus plans for gaps. |
**Dual-Prompt Agents** (auto-switch between Claude and GPT prompts):
These agents detect your model family at runtime and switch to the appropriate prompt. If you have GPT access, these agents can use it effectively.
Priority: **Claude > GPT > Claude-like models**
| Agent | Role | Default Chain | GPT Prompt? |
|-------|------|---------------|-------------|
| **Prometheus** | Strategic planner | Opus (max) → **GPT-5.2 (high)** → Kimi K2.5 → Gemini 3 Pro | Yes — XML-tagged, principle-driven (~300 lines vs ~1,100 Claude) |
| **Atlas** | Todo orchestrator | **Kimi K2.5** → Sonnet → GPT-5.2 | Yes — GPT-optimized todo management |
**GPT-Native Agents** (built for GPT, don't override to Claude):
| Agent | Role | Default Chain | Notes |
|-------|------|---------------|-------|
| **Hephaestus** | Deep autonomous worker | GPT-5.3-codex (medium) only | "Codex on steroids." No fallback. Requires GPT access. |
| **Oracle** | Architecture/debugging | GPT-5.2 (high) → Gemini 3 Pro → Opus | High-IQ strategic backup. GPT preferred. |
| **Momus** | High-accuracy reviewer | GPT-5.2 (medium) → Opus → Gemini 3 Pro | Verification agent. GPT preferred. |
**Utility Agents** (speed over intelligence):
These agents do search, grep, and retrieval. They intentionally use fast, cheap models. **Don't "upgrade" them to Opus — it wastes tokens on simple tasks.**
| **Explore** | Fast codebase grep | MiniMax M2.5 Free → Grok Code Fast → MiniMax M2.5 → Haiku → GPT-5-Nano | Speed is everything. Grok is blazing fast for grep. |
| **Librarian** | Docs/code search | MiniMax M2.5 Free → Gemini Flash → Big Pickle | Entirely free-tier. Doc retrieval doesn't need deep reasoning. |
| **Multimodal Looker** | Vision/screenshots | Kimi K2.5 → Kimi Free → Gemini Flash → GPT-5.2 → GLM-4.6v | Kimi excels at multimodal understanding. |
#### Why Different Models Need Different Prompts
Claude and GPT models have fundamentally different instruction-following behaviors:
- **Claude models** respond well to **mechanics-driven** prompts — detailed checklists, templates, step-by-step procedures. More rules = more compliance.
- **GPT models** (especially 5.2+) respond better to **principle-driven** prompts — concise principles, XML-tagged structure, explicit decision criteria. More rules = more contradiction surface = more drift.
Key insight from Codex Plan Mode analysis:
- Codex Plan Mode achieves the same results with 3 principles in ~121 lines that Prometheus's Claude prompt needs ~1,100 lines across 7 files
- The core concept is **"Decision Complete"** — a plan must leave ZERO decisions to the implementer
- GPT follows this literally when stated as a principle; Claude needs enforcement mechanisms
2.**Feeling lazy?** Just include `ultrawork` (or `ulw`) in your prompt. That's it. The agent figures out the rest.
3.**Need precision?** Press **Tab** to enter Prometheus (Planner) mode, create a work plan through an interview process, then run `/start-work` to execute it with full orchestration.
4. You wanna know more? Checkout: [Overview Guide](./overview.md)
That's it. The agent will figure out the rest and handle everything automatically.
