oh-my-opencode/docs/guide/agent-model-matching.md
YeonGyu-Kim d9ee0d9c0d docs: rewrite agent-model matching as technical guide for agents
Rewrite agent-model-matching.md as a technical reference that:
- Documents actual fallback chains from model-requirements.ts
- Explains model-specific prompt routing (Prometheus/Atlas GPT detection)
- Covers safe vs dangerous model substitutions with rationale
- Includes task categories (visual-engineering, deep, quick, etc.)
- Guides agents on how to explain model choices to users
- Adds provider priority chain

Also update installation.md to reference the guide when users
want custom model configuration, with explanation of what is
safe to change and why.
2026-02-19 15:01:34 +09:00

178 lines
8.4 KiB
Markdown

# Agent-Model Matching Guide
> **For agents and users**: This document explains the principles behind oh-my-opencode's agent-model assignments. Use it to understand why each agent uses a specific model, and how to customize them correctly.
---
## Why Model Matching Matters
Each oh-my-opencode agent has a **dedicated system prompt** optimized for a specific model family. Some agents (Atlas, Prometheus) ship separate prompts for GPT vs Claude models, with automatic routing via `isGptModel()` detection. Assigning the wrong model family to an agent doesn't just degrade performance — the agent may receive instructions formatted for a completely different model's reasoning style.
**Key principle**: Agents are tuned to model families, not individual models. A Claude-tuned agent works with Opus, Sonnet, or Haiku. A GPT-tuned agent works with GPT-5.2 or GPT-5.3-codex. Crossing families requires a model-specific prompt (which only some agents have).
---
## Agent-Model Map (Source of Truth)
This table reflects the actual fallback chains in `src/shared/model-requirements.ts`. The first available model in the chain is used.
### Core Agents
| Agent | Role | Primary Model Family | Fallback Chain | Has GPT Prompt? |
|-------|------|---------------------|----------------|-----------------|
| **Sisyphus** | Main ultraworker | Claude | Opus → Kimi K2.5 → GLM 5 → Big Pickle | No — **never use GPT** |
| **Hephaestus** | Deep autonomous worker | GPT (only) | GPT-5.3-codex (medium) | N/A (GPT-native) |
| **Prometheus** | Strategic planner | Claude (default), GPT (auto-detected) | Opus → GPT-5.2 → Kimi K2.5 → Gemini 3 Pro | **Yes**`src/agents/prometheus/gpt.ts` |
| **Atlas** | Todo orchestrator | Kimi K2.5 (default), GPT (auto-detected) | Kimi K2.5 → Sonnet → GPT-5.2 | **Yes**`src/agents/atlas/gpt.ts` |
| **Oracle** | Architecture/debugging | GPT | GPT-5.2 → Gemini 3 Pro → Opus | No |
| **Metis** | Plan review consultant | Claude | Opus → Kimi K2.5 → GPT-5.2 → Gemini 3 Pro | No |
| **Momus** | High-accuracy reviewer | GPT | GPT-5.2 → Opus → Gemini 3 Pro | No |
### Utility Agents
| Agent | Role | Primary Model Family | Fallback Chain |
|-------|------|---------------------|----------------|
| **Explore** | Fast codebase grep | Grok/lightweight | Grok Code Fast 1 → MiniMax M2.5 → Haiku → GPT-5-nano |
| **Librarian** | Docs/code search | Lightweight | MiniMax M2.5 → Gemini 3 Flash → Big Pickle |
| **Multimodal Looker** | Vision/screenshots | Kimi/multimodal | Kimi K2.5 → Gemini 3 Flash → GPT-5.2 → GLM-4.6v |
### Task Categories
Categories are used for `background_task` and `delegate_task` dispatching:
| Category | Purpose | Primary Model | Notes |
|----------|---------|---------------|-------|
| `visual-engineering` | Frontend/UI work | Gemini 3 Pro | Gemini excels at visual tasks |
| `ultrabrain` | Maximum intelligence | GPT-5.3-codex (xhigh) | Highest reasoning variant |
| `deep` | Deep coding | GPT-5.3-codex (medium) | Requires GPT availability |
| `artistry` | Creative/design | Gemini 3 Pro | Requires Gemini availability |
| `quick` | Fast simple tasks | Claude Haiku | Cheapest, fastest |
| `unspecified-high` | General high-quality | Claude Opus | Default for complex tasks |
| `unspecified-low` | General standard | Claude Sonnet | Default for standard tasks |
| `writing` | Text/docs | Kimi K2.5 | Best prose quality |
---
## Model-Specific Prompt Routing
### How It Works
Some agents detect the assigned model at runtime and switch prompts:
```typescript
// From src/agents/prometheus/system-prompt.ts
export function getPrometheusPrompt(model?: string): string {
if (model && isGptModel(model)) return getGptPrometheusPrompt() // XML-tagged, principle-driven
return PROMETHEUS_SYSTEM_PROMPT // Claude-optimized, modular sections
}
```
**Agents with dual prompts:**
- **Prometheus**: Claude prompt (modular sections) vs GPT prompt (XML-tagged, Codex plan mode style with explicit decision criteria)
- **Atlas**: Claude prompt vs GPT prompt (GPT-optimized todo orchestration)
**Why this matters for customization**: If you override Prometheus to use a GPT model, the GPT prompt activates automatically. But if you override Sisyphus to use GPT — there is no GPT prompt, and performance will degrade significantly.
### Model Family Detection
`isGptModel()` matches:
- Any model starting with `openai/` or `github-copilot/gpt-`
- Model names starting with common GPT prefixes (`gpt-`, `o1-`, `o3-`, `o4-`, `codex-`)
Everything else is treated as "Claude-like" (Claude, Kimi, GLM, Gemini).
---
## Customization Guide
### When to Customize
Customize model assignments when:
- You have a specific provider subscription (e.g., only OpenAI, no Anthropic)
- You want to use a cheaper model for certain agents
- You're experimenting with new models
### How to Customize
Override in `oh-my-opencode.json` (user: `~/.config/opencode/oh-my-opencode.json`, project: `.opencode/oh-my-opencode.json`):
```jsonc
{
"agents": {
"sisyphus": { "model": "kimi-for-coding/k2p5" },
"atlas": { "model": "anthropic/claude-sonnet-4-6" },
"prometheus": { "model": "openai/gpt-5.2" } // Will auto-switch to GPT prompt
}
}
```
### Safe Substitutions (same model family)
These swaps are safe because they stay within the same prompt family:
| Agent | Default | Safe Alternatives |
|-------|---------|-------------------|
| **Sisyphus** | Claude Opus | Claude Sonnet, Kimi K2.5, GLM 5 (any Claude-like) |
| **Hephaestus** | GPT-5.3-codex | No alternatives — GPT only |
| **Prometheus** | Claude Opus | Claude Sonnet (Claude prompt) OR GPT-5.2 (auto-switches to GPT prompt) |
| **Atlas** | Kimi K2.5 | Claude Sonnet (Claude prompt) OR GPT-5.2 (auto-switches to GPT prompt) |
| **Oracle** | GPT-5.2 | Gemini 3 Pro, Claude Opus |
### Dangerous Substitutions (cross-family without prompt support)
| Agent | Dangerous Override | Why |
|-------|-------------------|-----|
| **Sisyphus** → GPT | No GPT-optimized prompt exists. Sisyphus is deeply tuned for Claude-style reasoning. Performance drops dramatically. |
| **Hephaestus** → Claude | Hephaestus is purpose-built for GPT's Codex capabilities. Claude cannot replicate this. |
| **Explore** → Opus | Massive overkill and cost waste. Explore needs speed, not intelligence. |
### Explaining to Users
When a user asks about model configuration, explain:
1. **The default works out of the box** — the installer configures optimal models based on their subscriptions
2. **Each agent has a "home" model family** — Sisyphus is Claude-native, Hephaestus is GPT-native
3. **Some agents auto-adapt** — Prometheus and Atlas detect GPT models and switch to optimized prompts
4. **Cross-family overrides are risky** — unless the agent has a dedicated prompt for that family
5. **Cost optimization is valid** — swapping Opus → Sonnet or Kimi K2.5 for Sisyphus is fine and saves money
6. **Point to this guide** for the full fallback chains and rationale
---
## Provider Priority
When multiple providers are available, oh-my-opencode prefers:
```
Native (anthropic/, openai/, google/) > Kimi for Coding > GitHub Copilot > OpenCode Zen > Z.ai Coding Plan
```
Each fallback chain entry specifies which providers can serve that model. The system picks the first entry where at least one provider is connected.
---
## Quick Decision Tree for Users
```
What subscriptions do you have?
├── Claude (Anthropic) → Sisyphus works optimally. Prometheus/Metis use Claude prompts.
├── OpenAI/ChatGPT → Hephaestus unlocked. Oracle/Momus use GPT. Prometheus auto-switches.
├── Both Claude + OpenAI → Full agent roster. Best experience.
├── Gemini only → Visual-engineering category excels. Other agents use Gemini as fallback.
├── GitHub Copilot only → Works as fallback provider for all model families.
├── OpenCode Zen only → Free-tier access to multiple models. Functional but rate-limited.
└── No subscription → Limited functionality. Consider OpenCode Zen (free).
For each user scenario, the installer (`bunx oh-my-opencode install`) auto-configures the optimal assignment.
```
---
## See Also
- [Installation Guide](./installation.md) — Setup with subscription-based model configuration
- [Configuration Reference](../configurations.md) — Full config options including agent overrides
- [Overview](./overview.md) — How the agent system works
- [`src/shared/model-requirements.ts`](../../src/shared/model-requirements.ts) — Source of truth for fallback chains