Merge pull request #3595 from samuele-ruffino96/feature/opencode-go-model-upgrade

feat(opencode-go): upgrade to GLM 5.1 and Kimi K2.6 models and change non-existent minimax-m2.7-highspeed

README.ja.md

@@ -167,17 +167,17 @@ Read this and tell me why it's not just another boilerplate: https://raw.githubu
 <td align="center"><img src=".github/assets/hephaestus.png" height="300" /></td>
 </tr></table>
 
-**Sisyphus** (`claude-opus-4-7` / **`kimi-k2.5`** / **`glm-5`**) はあなたのメインオーケストレーターです。計画を立て、専門家に委任し、攻撃的な並列実行でタスクを完了まで推進します。途中で投げ出すことはありません。
+**Sisyphus** (`claude-opus-4-7` / **`kimi-k2.6`** / **`glm-5.1`**) はあなたのメインオーケストレーターです。計画を立て、専門家に委任し、攻撃的な並列実行でタスクを完了まで推進します。途中で投げ出すことはありません。
 
 **Hephaestus** (`gpt-5.4`) はあなたの自律的なディープワーカーです。レシピではなく、目標を与えてください。手取り足取り教えなくても、コードベースを探索し、パターンを調査し、エンドツーエンドで実行します。*正当なる職人 (The Legitimate Craftsman).*
 
-**Prometheus** (`claude-opus-4-7` / **`kimi-k2.5`** / **`glm-5`**) はあなたの戦略プランナーです。インタビューモードで質問を投げ、スコープを特定し、コードに一行触れる前に詳細な計画を構築します。
+**Prometheus** (`claude-opus-4-7` / **`kimi-k2.6`** / **`glm-5.1`**) はあなたの戦略プランナーです。インタビューモードで質問を投げ、スコープを特定し、コードに一行触れる前に詳細な計画を構築します。
 
 すべてのエージェントは、それぞれのモデルの強みに合わせてチューニングされています。手動でモデルを切り替える必要はありません。[詳しくはこちら →](docs/guide/overview.md)
 
 > Anthropic が [私たちのせいで OpenCode をブロックしました。](https://x.com/thdxr/status/2010149530486911014) だからこそ Hephaestus は「正当なる職人 (The Legitimate Craftsman)」と呼ばれているのです。皮肉を込めています。
 >
-> Opus で最もよく動きますが、Kimi K2.5 + GPT-5.4 の組み合わせだけでも、バニラの Claude Code を軽く凌駕します。設定は一切不要です。
+> Opus で最もよく動きますが、Kimi K2.6 + GPT-5.4 の組み合わせだけでも、バニラの Claude Code を軽く凌駕します。設定は一切不要です。
 
 ### エージェントのオーケストレーション
 

README.ko.md

@@ -168,17 +168,17 @@ Read this and tell me why it's not just another boilerplate: https://raw.githubu
 <td align="center"><img src=".github/assets/hephaestus.png" height="300" /></td>
 </tr></table>
 
-**Sisyphus** (`claude-opus-4-7` / **`kimi-k2.5`** / **`glm-5`**)는 메인 오케스트레이터입니다. 계획을 세우고, 전문가에게 위임하고, 공격적인 병렬 실행으로 작업을 끝까지 밀어붙입니다. 중간에 멈추지 않습니다.
+**Sisyphus** (`claude-opus-4-7` / **`kimi-k2.6`** / **`glm-5.1`**)는 메인 오케스트레이터입니다. 계획을 세우고, 전문가에게 위임하고, 공격적인 병렬 실행으로 작업을 끝까지 밀어붙입니다. 중간에 멈추지 않습니다.
 
 **Hephaestus** (`gpt-5.4`)는 자율적으로 깊게 파는 작업자입니다. 레시피가 아니라 목표를 주세요. 코드베이스를 탐색하고, 패턴을 조사하고, 손을 잡아주지 않아도 엔드투엔드로 실행합니다. *The Legitimate Craftsman.*
 
-**Prometheus** (`claude-opus-4-7` / **`kimi-k2.5`** / **`glm-5`**)는 전략 플래너입니다. 인터뷰 모드: 질문으로 스코프를 파악하고, 코드에 손대기 전에 상세한 계획을 만듭니다.
+**Prometheus** (`claude-opus-4-7` / **`kimi-k2.6`** / **`glm-5.1`**)는 전략 플래너입니다. 인터뷰 모드: 질문으로 스코프를 파악하고, 코드에 손대기 전에 상세한 계획을 만듭니다.
 
 모든 에이전트는 자기 모델의 강점에 맞춰 튜닝되어 있습니다. 수동으로 모델을 돌려가며 쓸 필요가 없습니다. [더 알아보기 →](docs/guide/overview.md)
 
 > Anthropic은 [우리 때문에 OpenCode를 차단했습니다.](https://x.com/thdxr/status/2010149530486911014) 그래서 Hephaestus에게 "The Legitimate Craftsman"이라는 별명이 붙었습니다. 의도된 아이러니입니다.
 >
-> Opus에서 가장 잘 돌지만, Kimi K2.5 + GPT-5.4 조합만으로도 이미 바닐라 Claude Code를 이깁니다. 별도 설정 없이요.
+> Opus에서 가장 잘 돌지만, Kimi K2.6 + GPT-5.4 조합만으로도 이미 바닐라 Claude Code를 이깁니다. 별도 설정 없이요.
 
 ### Agent Orchestration
 

README.md

@@ -168,17 +168,17 @@ Even with only the following subscriptions, `ultrawork` works well (this project
 <td align="center"><img src=".github/assets/hephaestus.png" height="300" /></td>
 </tr></table>
 
-**Sisyphus** (`claude-opus-4-7` / **`kimi-k2.5`** / **`glm-5`** ) is your main orchestrator. He plans, delegates to specialists, and drives tasks to completion with aggressive parallel execution. He does not stop halfway.
+**Sisyphus** (`claude-opus-4-7` / **`kimi-k2.6`** / **`glm-5.1`** ) is your main orchestrator. He plans, delegates to specialists, and drives tasks to completion with aggressive parallel execution. He does not stop halfway.
 
 **Hephaestus** (`gpt-5.4`) is your autonomous deep worker. Give him a goal, not a recipe. He explores the codebase, researches patterns, and executes end-to-end without hand-holding. *The Legitimate Craftsman.*
 
-**Prometheus** (`claude-opus-4-7` / **`kimi-k2.5`** / **`glm-5`** ) is your strategic planner. Interview mode: he asks questions, identifies scope, and builds a detailed plan before a single line of code is touched.
+**Prometheus** (`claude-opus-4-7` / **`kimi-k2.6`** / **`glm-5.1`** ) is your strategic planner. Interview mode: he asks questions, identifies scope, and builds a detailed plan before a single line of code is touched.
 
 Every agent is tuned to its model's specific strengths. No manual model juggling. [Learn more →](docs/guide/overview.md)
 
 > Anthropic [blocked OpenCode because of us.](https://x.com/thdxr/status/2010149530486911014) That's why Hephaestus is called "The Legitimate Craftsman." The irony is intentional.
 >
-> We run best on Opus, but Kimi K2.5 + GPT-5.4 already beats vanilla Claude Code. Zero config needed.
+> We run best on Opus, but Kimi K2.6 + GPT-5.4 already beats vanilla Claude Code. Zero config needed.
 
 ### Agent Orchestration
 

README.ru.md

@@ -167,17 +167,17 @@ Read this and tell me why it's not just another boilerplate: https://raw.githubu
 <td align="center"><img src=".github/assets/hephaestus.png" height="300" /></td>
 </tr></table>
 
-**Sisyphus** (`claude-opus-4-7` / **`kimi-k2.5`** / **`glm-5`**) — главный оркестратор. Он планирует, делегирует задачи специалистам и доводит их до завершения с агрессивным параллельным выполнением. Он не останавливается на полпути.
+**Sisyphus** (`claude-opus-4-7` / **`kimi-k2.6`** / **`glm-5.1`**) — главный оркестратор. Он планирует, делегирует задачи специалистам и доводит их до завершения с агрессивным параллельным выполнением. Он не останавливается на полпути.
 
 **Hephaestus** (`gpt-5.4`) — автономный глубокий исполнитель. Дайте ему цель, а не рецепт. Он исследует кодовую базу, изучает паттерны и выполняет задачи сквозным образом без лишних подсказок. *Законный Мастер.*
 
-**Prometheus** (`claude-opus-4-7` / **`kimi-k2.5`** / **`glm-5`**) — стратегический планировщик. Режим интервью: он задаёт вопросы, определяет объём работ и формирует детальный план до того, как написана хотя бы одна строка кода.
+**Prometheus** (`claude-opus-4-7` / **`kimi-k2.6`** / **`glm-5.1`**) — стратегический планировщик. Режим интервью: он задаёт вопросы, определяет объём работ и формирует детальный план до того, как написана хотя бы одна строка кода.
 
 Каждый агент настроен под сильные стороны своей модели. Никакого ручного переключения между моделями. [Подробнее →](docs/guide/overview.md)
 
 > Anthropic [заблокировал OpenCode из-за нас.](https://x.com/thdxr/status/2010149530486911014) Именно поэтому Hephaestus зовётся «Законным Мастером». Ирония намеренная.
 >
-> Мы работаем лучше всего на Opus, но Kimi K2.5 + GPT-5.4 уже превосходят ванильный Claude Code. Никакой настройки не требуется.
+> Мы работаем лучше всего на Opus, но Kimi K2.6 + GPT-5.4 уже превосходят ванильный Claude Code. Никакой настройки не требуется.
 
 ### Оркестрация агентов
 

README.zh-cn.md

@@ -167,11 +167,11 @@ Read this and tell me why it's not just another boilerplate: https://raw.githubu
 <td align="center"><img src=".github/assets/hephaestus.png" height="300" /></td>
 </tr></table>
 
-**Sisyphus** (`claude-opus-4-7` / **`kimi-k2.5`** / **`glm-5`**) 是你的主指挥官。他负责制定计划、分配任务给专家团队，并以极其激进的并行策略推动任务直至完成。他从不半途而废。
+**Sisyphus** (`claude-opus-4-7` / **`kimi-k2.6`** / **`glm-5.1`**) 是你的主指挥官。他负责制定计划、分配任务给专家团队，并以极其激进的并行策略推动任务直至完成。他从不半途而废。
 
 **Hephaestus** (`gpt-5.4`) 是你的自主深度工作者。你只需要给他目标，不要给他具体做法。他会自动探索代码库模式，从头到尾独立执行任务，绝不会中途要你当保姆。*名副其实的正牌工匠。*
 
-**Prometheus** (`claude-opus-4-7` / **`kimi-k2.5`** / **`glm-5`**) 是你的战略规划师。他通过访谈模式，在动一行代码之前，先通过提问确定范围并构建详尽的执行计划。
+**Prometheus** (`claude-opus-4-7` / **`kimi-k2.6`** / **`glm-5.1`**) 是你的战略规划师。他通过访谈模式，在动一行代码之前，先通过提问确定范围并构建详尽的执行计划。
 
 每一个 Agent 都针对其底层模型的特点进行了专门调优。你无需手动来回切换模型。[阅读背景设定了解更多 →](docs/guide/overview.md)
 

docs/guide/agent-model-matching.md

@@ -204,8 +204,8 @@ These agents have Claude-optimized prompts — long, detailed, mechanics-driven.
 
 | Agent | Role | Fallback Chain |
 |---|---|---|
-| **Sisyphus** | Main orchestrator | `anthropic\|github-copilot\|opencode\|vercel/claude-opus-4-7` (max) → `opencode-go\|vercel/kimi-k2.5` → `kimi-for-coding/k2p5` → `opencode\|moonshotai\|moonshotai-cn\|firmware\|ollama-cloud\|aihubmix\|vercel/kimi-k2.5` → `openai\|github-copilot\|opencode\|vercel/gpt-5.5` (medium) → `zai-coding-plan\|opencode\|vercel/glm-5` → `opencode/big-pickle` |
-| **Metis** | Plan gap analyzer | `anthropic\|github-copilot\|opencode\|vercel/claude-opus-4-7` (max) → `openai\|github-copilot\|opencode\|vercel/gpt-5.5` (high) → `opencode-go\|vercel/glm-5` → `kimi-for-coding/k2p5` |
+| **Sisyphus** | Main orchestrator | `anthropic\|github-copilot\|opencode\|vercel/claude-opus-4-7` (max) → `opencode-go\|vercel/kimi-k2.6` → `kimi-for-coding/k2p5` → `opencode\|moonshotai\|moonshotai-cn\|firmware\|ollama-cloud\|aihubmix\|vercel/kimi-k2.5` → `openai\|github-copilot\|opencode\|vercel/gpt-5.5` (medium) → `zai-coding-plan\|opencode\|vercel/glm-5` → `opencode/big-pickle` |
+| **Metis** | Plan gap analyzer | `anthropic\|github-copilot\|opencode\|vercel/claude-opus-4-7` (max) → `openai\|github-copilot\|opencode\|vercel/gpt-5.5` (high) → `opencode-go\|vercel/glm-5.1` → `kimi-for-coding/k2p5` |
 
 ### Dual-Prompt Agents → Claude preferred, GPT supported
 
@@ -213,8 +213,8 @@ These agents ship separate prompts for Claude and GPT families. They auto-detect
 
 | Agent | Role | Fallback Chain |
 |---|---|---|
-| **Prometheus** | Strategic planner | `anthropic\|github-copilot\|opencode\|vercel/claude-opus-4-7` (max) → `openai\|github-copilot\|opencode\|vercel/gpt-5.5` (high) → `opencode-go\|vercel/glm-5` → `google\|github-copilot\|opencode\|vercel/gemini-3.1-pro` |
-| **Atlas** | Todo orchestrator | `anthropic\|github-copilot\|opencode\|vercel/claude-sonnet-4-6` → `opencode-go\|vercel/kimi-k2.5` → `openai\|github-copilot\|opencode\|vercel/gpt-5.5` (medium) → `opencode-go\|vercel/minimax-m2.7` |
+| **Prometheus** | Strategic planner | `anthropic\|github-copilot\|opencode\|vercel/claude-opus-4-7` (max) → `openai\|github-copilot\|opencode\|vercel/gpt-5.5` (high) → `opencode-go\|vercel/glm-5.1` → `google\|github-copilot\|opencode\|vercel/gemini-3.1-pro` |
+| **Atlas** | Todo orchestrator | `anthropic\|github-copilot\|opencode\|vercel/claude-sonnet-4-6` → `opencode-go\|vercel/kimi-k2.6` → `openai\|github-copilot\|opencode\|vercel/gpt-5.5` (medium) → `opencode-go\|vercel/minimax-m2.7` |
 
 ### Deep Specialists → GPT
 
@@ -223,8 +223,8 @@ These agents are built for GPT's principle-driven style. Their prompts assume au
 | Agent | Role | Fallback Chain |
 |---|---|---|
 | **Hephaestus** | Autonomous deep worker | `openai\|github-copilot\|venice\|opencode\|vercel/gpt-5.5` (medium) — single-entry chain, requires one of those providers. The craftsman. |
-| **Oracle** | Architecture consultant | `openai\|github-copilot\|opencode\|vercel/gpt-5.5` (high) → `google\|github-copilot\|opencode\|vercel/gemini-3.1-pro` (high) → `anthropic\|github-copilot\|opencode\|vercel/claude-opus-4-7` (max) → `opencode-go\|vercel/glm-5` |
-| **Momus** | Ruthless reviewer | `openai\|github-copilot\|opencode\|vercel/gpt-5.5` (xhigh) → `anthropic\|github-copilot\|opencode\|vercel/claude-opus-4-7` (max) → `google\|github-copilot\|opencode\|vercel/gemini-3.1-pro` (high) → `opencode-go\|vercel/glm-5` |
+| **Oracle** | Architecture consultant | `openai\|github-copilot\|opencode\|vercel/gpt-5.5` (high) → `google\|github-copilot\|opencode\|vercel/gemini-3.1-pro` (high) → `anthropic\|github-copilot\|opencode\|vercel/claude-opus-4-7` (max) → `opencode-go\|vercel/glm-5.1` |
+| **Momus** | Ruthless reviewer | `openai\|github-copilot\|opencode\|vercel/gpt-5.5` (xhigh) → `anthropic\|github-copilot\|opencode\|vercel/claude-opus-4-7` (max) → `google\|github-copilot\|opencode\|vercel/gemini-3.1-pro` (high) → `opencode-go\|vercel/glm-5.1` |
 
 ### Utility Runners → Speed over Intelligence
 
@@ -232,10 +232,10 @@ These agents do grep, search, and retrieval. They intentionally use the fastest,
 
 | Agent | Role | Fallback Chain |
 |---|---|---|
-| **Explore** | Fast codebase grep | `openai/gpt-5.4-mini-fast` → `opencode-go\|vercel/minimax-m2.7-highspeed` → `opencode-go\|vercel/minimax-m2.7` → `anthropic\|opencode\|vercel/claude-haiku-4-5` → `openai\|opencode\|vercel/gpt-5.4-nano` |
+| **Explore** | Fast codebase grep | `openai/gpt-5.4-mini-fast` → `opencode-go/qwen3.5-plus` → `vercel/minimax-m2.7-highspeed` → `opencode-go\|vercel/minimax-m2.7` → `anthropic\|opencode\|vercel/claude-haiku-4-5` → `openai\|opencode\|vercel/gpt-5.4-nano` |
 | **Librarian** | Docs/code search | same as Explore |
-| **Multimodal Looker** | Vision/screenshots | `openai\|opencode\|vercel/gpt-5.5` (medium) → `opencode-go\|vercel/kimi-k2.5` → `zai-coding-plan\|vercel/glm-4.6v` → `openai\|github-copilot\|opencode\|vercel/gpt-5-nano` |
-| **Sisyphus-Junior** | Category executor | `anthropic\|github-copilot\|opencode\|vercel/claude-sonnet-4-6` → `opencode-go\|vercel/kimi-k2.5` → `openai\|github-copilot\|opencode\|vercel/gpt-5.5` (medium) → `opencode-go\|vercel/minimax-m2.7` → `opencode/big-pickle` |
+| **Multimodal Looker** | Vision/screenshots | `openai\|opencode\|vercel/gpt-5.5` (medium) → `opencode-go\|vercel/kimi-k2.6` → `zai-coding-plan\|vercel/glm-4.6v` → `openai\|github-copilot\|opencode\|vercel/gpt-5-nano` |
+| **Sisyphus-Junior** | Category executor | `anthropic\|github-copilot\|opencode\|vercel/claude-sonnet-4-6` → `opencode-go\|vercel/kimi-k2.6` → `openai\|github-copilot\|opencode\|vercel/gpt-5.5` (medium) → `opencode-go\|vercel/minimax-m2.7` → `opencode/big-pickle` |
 
 ---
 
@@ -282,10 +282,10 @@ A premium subscription tier ($10/month) that provides reliable access to Chinese
 
 | Model                    | Use Case                                                              |
 | ------------------------ | --------------------------------------------------------------------- |
-| **opencode-go/kimi-k2.5** | Vision-capable, Claude-like reasoning. Used by Sisyphus, Atlas, Sisyphus-Junior, Multimodal Looker. |
-| **opencode-go/glm-5**     | Text-only orchestration model. Used by Oracle, Prometheus, Metis, Momus.                           |
+| **opencode-go/kimi-k2.6** | Vision-capable, Claude-like reasoning. Used by Sisyphus, Atlas, Sisyphus-Junior, Multimodal Looker. |
+| **opencode-go/glm-5.1**     | Text-only orchestration model. Used by Oracle, Prometheus, Metis, Momus.                           |
 | **opencode-go/minimax-m2.7** | Ultra-cheap, fast responses. Used by Atlas, Sisyphus-Junior, Explore and Librarian fallbacks for utility work. |
-| **opencode-go/minimax-m2.7-highspeed** | Even faster OpenCode Go MiniMax entry used as a secondary fallback for Explore and Librarian when GPT-5.4 Mini Fast is unavailable. |
+| **opencode-go/qwen3.5-plus** | Qwen coding model used as the first OpenCode Go utility fallback for Explore and Librarian when GPT-5.4 Mini Fast is unavailable. |
 
 **When It Gets Used:**
 
@@ -309,14 +309,14 @@ When agents delegate work, they don't pick a model name — they pick a **catego
 
 | Category | Used For | Default Model | Fallback Chain |
 |---|---|---|---|
-| `visual-engineering` | Frontend, UI, CSS, design | `google/gemini-3.1-pro` (high) | Gemini → `zai-coding-plan/glm-5` → `claude-opus-4-7` (max) → `opencode-go/glm-5` → `kimi-for-coding/k2p5` |
+| `visual-engineering` | Frontend, UI, CSS, design | `google/gemini-3.1-pro` (high) | Gemini → `zai-coding-plan/glm-5` → `claude-opus-4-7` (max) → `opencode-go/glm-5.1` → `kimi-for-coding/k2p5` |
 | `artistry` | Creative, novel approaches | `google/gemini-3.1-pro` (high) | Gemini → `claude-opus-4-7` (max) → `gpt-5.5` — requires Gemini family to activate |
-| `ultrabrain` | Maximum reasoning needed | `openai/gpt-5.5` (xhigh) | GPT-5.5 xhigh → `gemini-3.1-pro` (high) → `claude-opus-4-7` (max) → `opencode-go/glm-5` |
+| `ultrabrain` | Maximum reasoning needed | `openai/gpt-5.5` (xhigh) | GPT-5.5 xhigh → `gemini-3.1-pro` (high) → `claude-opus-4-7` (max) → `opencode-go/glm-5.1` |
 | `deep` | Deep coding, complex logic | `openai/gpt-5.5` (medium) | GPT-5.5 → `claude-opus-4-7` (max) → `gemini-3.1-pro` (high) |
 | `quick` | Simple, fast tasks | `openai/gpt-5.4-mini` | GPT-5.4-mini → `claude-haiku-4-5` → `gemini-3-flash` → `opencode-go/minimax-m2.7` → `opencode/gpt-5-nano` |
-| `unspecified-high` | General complex work | `anthropic/claude-opus-4-7` (max) | Opus → `gpt-5.5` (high) → `zai-coding-plan/glm-5` → `kimi-for-coding/k2p5` → `opencode-go/glm-5` → `opencode/kimi-k2.5` → `moonshotai/kimi-k2.5` |
-| `unspecified-low` | General standard work | `anthropic/claude-sonnet-4-6` | Sonnet → `gpt-5.3-codex` (medium) → `opencode-go/kimi-k2.5` → `google/gemini-3-flash` → `opencode-go/minimax-m2.7` |
-| `writing` | Text, docs, prose | `kimi-for-coding/k2p5` | Kimi → `gemini-3-flash` → `opencode-go/kimi-k2.5` → `claude-sonnet-4-6` → `opencode-go/minimax-m2.7` |
+| `unspecified-high` | General complex work | `anthropic/claude-opus-4-7` (max) | Opus → `gpt-5.5` (high) → `zai-coding-plan/glm-5` → `kimi-for-coding/k2p5` → `opencode-go/glm-5.1` → `opencode/kimi-k2.5` → `moonshotai/kimi-k2.5` |
+| `unspecified-low` | General standard work | `anthropic/claude-sonnet-4-6` | Sonnet → `gpt-5.3-codex` (medium) → `opencode-go/kimi-k2.6` → `google/gemini-3-flash` → `opencode-go/minimax-m2.7` |
+| `writing` | Text, docs, prose | `kimi-for-coding/k2p5` | Kimi → `gemini-3-flash` → `opencode-go/kimi-k2.6` → `claude-sonnet-4-6` → `opencode-go/minimax-m2.7` |
 
 See the [Orchestration System Guide](./orchestration.md) for how agents dispatch tasks to categories.
 
@@ -351,11 +351,11 @@ See the [Orchestration System Guide](./orchestration.md) for how agents dispatch
     "prometheus": { "model": "opencode-go/kimi-k2.6" },
 
     // Atlas also communicative — Kimi works great
-    "atlas": { "model": "opencode-go/kimi-k2.5" },
+    "atlas": { "model": "opencode-go/kimi-k2.6" },
 
     // Utility agents stay cheap
-    "explore": { "model": "opencode-go/minimax-m2.7-highspeed" },
-    "librarian": { "model": "opencode-go/minimax-m2.7-highspeed" },
+    "explore": { "model": "opencode-go/qwen3.5-plus" },
+    "librarian": { "model": "opencode-go/qwen3.5-plus" },
   },
 
   "categories": {
@@ -363,9 +363,9 @@ See the [Orchestration System Guide](./orchestration.md) for how agents dispatch
     "deep": { "model": "openai/gpt-5.5", "variant": "medium" },
     "ultrabrain": { "model": "openai/gpt-5.5", "variant": "xhigh" },
     "quick": { "model": "openai/gpt-5.4-mini" },
-    "unspecified-low": { "model": "opencode-go/kimi-k2.5" },
+    "unspecified-low": { "model": "opencode-go/kimi-k2.6" },
     "unspecified-high": { "model": "opencode-go/kimi-k2.6" },
-    "writing": { "model": "opencode-go/kimi-k2.5" },
+    "writing": { "model": "opencode-go/kimi-k2.6" },
   },
 
   "background_task": {
@@ -407,19 +407,19 @@ Cheapest full-stack path. Hephaestus won't activate — accept that trade-off.
 {
   "agents": {
     "sisyphus": { "model": "opencode-go/kimi-k2.6" },
-    "atlas": { "model": "opencode-go/kimi-k2.5" },
+    "atlas": { "model": "opencode-go/kimi-k2.6" },
     // Omit hephaestus entirely; it needs GPT.
-    "oracle": { "model": "opencode-go/glm-5" },  // Degraded but functional
-    "explore": { "model": "opencode-go/minimax-m2.7-highspeed" },
-    "librarian": { "model": "opencode-go/minimax-m2.7-highspeed" },
+    "oracle": { "model": "opencode-go/glm-5.1" },  // Degraded but functional
+    "explore": { "model": "opencode-go/qwen3.5-plus" },
+    "librarian": { "model": "opencode-go/qwen3.5-plus" },
   },
   "categories": {
     "visual-engineering": { "model": "opencode-go/qwen3.6-plus" },
     "deep": { "model": "opencode-go/kimi-k2.6" },  // Not ideal — Kimi isn't GPT, but best available
     "unspecified-high": { "model": "opencode-go/kimi-k2.6" },
-    "unspecified-low": { "model": "opencode-go/kimi-k2.5" },
+    "unspecified-low": { "model": "opencode-go/kimi-k2.6" },
     "quick": { "model": "opencode-go/minimax-m2.7" },
-    "writing": { "model": "opencode-go/kimi-k2.5" },
+    "writing": { "model": "opencode-go/kimi-k2.6" },
   },
 }
 ```
@@ -437,7 +437,7 @@ If you have OpenRouter and want DeepSeek in the chain when GPT is unavailable:
       "fallback_models": [
         "anthropic/claude-opus-4-7",
         { "model": "openrouter/deepseek/deepseek-v3.2", "temperature": 0.7 },
-        "opencode-go/glm-5",
+        "opencode-go/glm-5.1",
       ],
     },
   },

docs/guide/installation.md

@@ -291,8 +291,10 @@ Not all models behave the same way. Understanding which models are "similar" hel
 | **Claude Opus 4.7**      | anthropic, github-copilot, opencode | Best overall. Default for Sisyphus.                                     |
 | **Claude Sonnet 4.6**    | anthropic, github-copilot, opencode | Faster, cheaper. Good balance.                                          |
 | **Claude Haiku 4.5**     | anthropic, opencode                 | Fast and cheap. Good for quick tasks.                                   |
-| **Kimi K2.5**            | kimi-for-coding, opencode-go, opencode, moonshotai, moonshotai-cn, firmware, ollama-cloud, aihubmix | Behaves very similarly to Claude. Great all-rounder that appears in several orchestration fallback chains. |
+| **Kimi K2.6**            | opencode-go, vercel                  | Behaves very similarly to Claude. Great all-rounder that appears in several orchestration fallback chains. |
+| **Kimi K2.5**            | kimi-for-coding, opencode, moonshotai, moonshotai-cn, firmware, ollama-cloud, aihubmix | Claude-like behavior. Available on multiple providers.                    |
 | **Kimi K2.5 Free**       | opencode                            | Free-tier Kimi. Rate-limited but functional.                            |
+| **GLM 5.1**              | opencode-go, vercel                 | Claude-like behavior. Upgraded from GLM-5 on opencode-go.              |
 | **GLM 5**                | zai-coding-plan, opencode           | Claude-like behavior. Good for broad tasks.                             |
 | **Big Pickle (GLM 4.6)** | opencode                            | Free-tier GLM. Decent fallback.                                         |
 
@@ -311,8 +313,9 @@ Not all models behave the same way. Understanding which models are "similar" hel
 | --------------------- | -------------------------------- | ----------------------------------------------------------- |
 | **Gemini 3.1 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 M2.7**      | opencode-go, opencode            | Fast and smart. Utility fallbacks use `minimax-m2.7` or `minimax-m2.7-highspeed` depending on the chain. |
-| **MiniMax M2.7 Highspeed** | opencode-go, opencode       | Faster utility variant used in Explore and other retrieval-heavy fallback chains. |
+| **MiniMax M2.7**      | opencode-go, opencode, vercel       | Fast and smart. Utility fallbacks use `minimax-m2.7` or `minimax-m2.7-highspeed` depending on the chain. |
+| **MiniMax M2.7 Highspeed** | vercel, opencode             | Faster utility variant used in Explore and other retrieval-heavy fallback chains. |
+| **Qwen 3.5 Plus**     | opencode-go                       | 1M context, high-speed reasoning. Default for Explore and Librarian when GPT-5.4 Mini Fast is unavailable. |
 
 **Speed-Focused Models**:
 
@@ -320,7 +323,7 @@ Not all models behave the same way. Understanding which models are "similar" hel
 | ----------------------- | ---------------------- | -------------- | --------------------------------------------------------------------------------------------------------------------------------------------- |
 | **Grok Code Fast 1**    | github-copilot, xai    | Very fast      | Optimized for code grep/search. Default for Explore.                                                                                          |
 | **Claude Haiku 4.5**    | anthropic, opencode    | Fast           | Good balance of speed and intelligence.                                                                                                       |
-| **MiniMax M2.7 Highspeed** | opencode-go, opencode | Very fast    | High-speed MiniMax utility fallback used by runtime chains such as Explore and, on the OpenCode catalog, Librarian.                          |
+| **MiniMax M2.7 Highspeed** | vercel, opencode | Very fast    | High-speed MiniMax utility fallback used by runtime chains such as Explore and, on the OpenCode catalog, Librarian.                          |
 | **GPT-5.3-codex-spark** | openai                 | Extremely fast | Blazing fast but compacts so aggressively that oh-my-openagent's context management doesn't work well with it. Not recommended for omo agents. |
 
 #### What Each Agent Does and Which Model It Got
@@ -331,8 +334,8 @@ Based on your subscriptions, here's how the agents were configured:
 
 | Agent        | Role             | Default Chain                                   | What It Does                                                                             |
 | ------------ | ---------------- | ----------------------------------------------- | ---------------------------------------------------------------------------------------- |
-| **Sisyphus** | Main ultraworker | anthropic\|github-copilot\|opencode/claude-opus-4-7 (max) → opencode-go/kimi-k2.5 → kimi-for-coding/k2p5 → opencode\|moonshotai\|moonshotai-cn\|firmware\|ollama-cloud\|aihubmix/kimi-k2.5 → openai\|github-copilot\|opencode/gpt-5.5 (medium) → zai-coding-plan\|opencode/glm-5 → opencode/big-pickle | Primary coding agent. Exact runtime chain from `src/shared/model-requirements.ts`. |
-| **Metis**    | Plan review      | anthropic\|github-copilot\|opencode/claude-opus-4-7 (max) → openai\|github-copilot\|opencode/gpt-5.5 (high) → opencode-go/glm-5 → kimi-for-coding/k2p5 | Reviews Prometheus plans for gaps. Exact runtime chain from `src/shared/model-requirements.ts`. |
+| **Sisyphus** | Main ultraworker | anthropic\|github-copilot\|opencode/claude-opus-4-7 (max) → opencode-go/kimi-k2.6 → kimi-for-coding/k2p5 → opencode\|moonshotai\|moonshotai-cn\|firmware\|ollama-cloud\|aihubmix/kimi-k2.5 → openai\|github-copilot\|opencode/gpt-5.5 (medium) → zai-coding-plan\|opencode/glm-5 → opencode/big-pickle | Primary coding agent. Exact runtime chain from `src/shared/model-requirements.ts`. |
+| **Metis**    | Plan review      | anthropic\|github-copilot\|opencode/claude-opus-4-7 (max) → openai\|github-copilot\|opencode/gpt-5.5 (high) → opencode-go/glm-5.1 → kimi-for-coding/k2p5 | Reviews Prometheus plans for gaps. Exact runtime chain from `src/shared/model-requirements.ts`. |
 
 **Dual-Prompt Agents** (auto-switch between Claude and GPT prompts):
 
@@ -342,16 +345,16 @@ Priority: **Claude > GPT > Claude-like models**
 
 | Agent          | Role              | Default Chain                                              | GPT Prompt?                                                      |
 | -------------- | ----------------- | ---------------------------------------------------------- | ---------------------------------------------------------------- |
-| **Prometheus** | Strategic planner | anthropic\|github-copilot\|opencode/claude-opus-4-7 (max) → openai\|github-copilot\|opencode/gpt-5.5 (high) → opencode-go/glm-5 → google\|github-copilot\|opencode/gemini-3.1-pro | Yes — XML-tagged, principle-driven (~300 lines vs ~1,100 Claude) |
-| **Atlas**      | Todo orchestrator | anthropic\|github-copilot\|opencode/claude-sonnet-4-6 → opencode-go/kimi-k2.5 → openai\|github-copilot\|opencode/gpt-5.5 (medium) → opencode-go/minimax-m2.7 | Yes - GPT-optimized todo management                              |
+| **Prometheus** | Strategic planner | anthropic\|github-copilot\|opencode/claude-opus-4-7 (max) → openai\|github-copilot\|opencode/gpt-5.5 (high) → opencode-go/glm-5.1 → google\|github-copilot\|opencode/gemini-3.1-pro | Yes — XML-tagged, principle-driven (~300 lines vs ~1,100 Claude) |
+| **Atlas**      | Todo orchestrator | anthropic\|github-copilot\|opencode/claude-sonnet-4-6 → opencode-go/kimi-k2.6 → openai\|github-copilot\|opencode/gpt-5.5 (medium) → opencode-go/minimax-m2.7 | 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-5.5 (medium) only                  | "Codex on steroids." No fallback. Requires GPT access. |
-| **Oracle**     | Architecture/debugging | openai\|github-copilot\|opencode/gpt-5.5 (high) → google\|github-copilot\|opencode/gemini-3.1-pro (high) → anthropic\|github-copilot\|opencode/claude-opus-4-7 (max) → opencode-go/glm-5 | High-IQ strategic backup. GPT preferred.               |
-| **Momus**      | High-accuracy reviewer | openai\|github-copilot\|opencode/gpt-5.5 (xhigh) → anthropic\|github-copilot\|opencode/claude-opus-4-7 (max) → google\|github-copilot\|opencode/gemini-3.1-pro (high) → opencode-go/glm-5 | Verification agent. GPT preferred.                     |
+| **Oracle**     | Architecture/debugging | openai\|github-copilot\|opencode/gpt-5.5 (high) → google\|github-copilot\|opencode/gemini-3.1-pro (high) → anthropic\|github-copilot\|opencode/claude-opus-4-7 (max) → opencode-go/glm-5.1 | High-IQ strategic backup. GPT preferred.               |
+| **Momus**      | High-accuracy reviewer | openai\|github-copilot\|opencode/gpt-5.5 (xhigh) → anthropic\|github-copilot\|opencode/claude-opus-4-7 (max) → google\|github-copilot\|opencode/gemini-3.1-pro (high) → opencode-go/glm-5.1 | Verification agent. GPT preferred.                     |
 
 **Utility Agents** (speed over intelligence):
 
@@ -359,9 +362,9 @@ These agents do search, grep, and retrieval. They intentionally use fast, cheap
 
 | Agent                 | Role               | Default Chain                                                          | Design Rationale                                               |
 | --------------------- | ------------------ | ---------------------------------------------------------------------- | -------------------------------------------------------------- |
-| **Explore**           | Fast codebase grep | github-copilot\|xai/grok-code-fast-1 → opencode-go/minimax-m2.7-highspeed → opencode/minimax-m2.7 → anthropic\|opencode/claude-haiku-4-5 → opencode/gpt-5-nano | Speed is everything. Exact runtime chain from `src/shared/model-requirements.ts`. |
-| **Librarian**         | Docs/code search   | opencode-go/minimax-m2.7 → opencode/minimax-m2.7-highspeed → anthropic\|opencode/claude-haiku-4-5 → opencode/gpt-5-nano | Doc retrieval doesn't need deep reasoning. Exact runtime chain from `src/shared/model-requirements.ts`. |
-| **Multimodal Looker** | Vision/screenshots | openai\|opencode/gpt-5.5 (medium) → opencode-go/kimi-k2.5 → zai-coding-plan/glm-4.6v → openai\|github-copilot\|opencode/gpt-5-nano | GPT-5.5 now leads the default vision path when available. |
+| **Explore**           | Fast codebase grep | openai/gpt-5.4-mini-fast → opencode-go/qwen3.5-plus → vercel/minimax-m2.7-highspeed → opencode-go\|vercel/minimax-m2.7 → anthropic\|opencode\|vercel/claude-haiku-4-5 → openai\|opencode\|vercel/gpt-5.4-nano | Speed is everything. Exact runtime chain from `src/shared/model-requirements.ts`. |
+| **Librarian**         | Docs/code search   | openai/gpt-5.4-mini-fast → opencode-go/qwen3.5-plus → vercel/minimax-m2.7-highspeed → opencode-go\|vercel/minimax-m2.7 → anthropic\|opencode\|vercel/claude-haiku-4-5 → openai\|opencode\|vercel/gpt-5.4-nano | Doc retrieval doesn't need deep reasoning. Exact runtime chain from `src/shared/model-requirements.ts`. |
+| **Multimodal Looker** | Vision/screenshots | openai\|opencode/gpt-5.5 (medium) → opencode-go/kimi-k2.6 → zai-coding-plan/glm-4.6v → openai\|github-copilot\|opencode/gpt-5-nano | GPT-5.5 now leads the default vision path when available. |
 
 #### Why Different Models Need Different Prompts
 

docs/reference/configuration.md

@@ -357,29 +357,29 @@ Capability data comes from provider runtime metadata first. OmO also ships bundl
 
 | Agent                 | Default Model       | Provider Priority                                                            |
 | --------------------- | ------------------- | ---------------------------------------------------------------------------- |
-| **Sisyphus**          | `claude-opus-4-7`   | `anthropic\|github-copilot\|opencode/claude-opus-4-7 (max)` → `opencode-go/kimi-k2.5` → `kimi-for-coding/k2p5` → `opencode\|moonshotai\|moonshotai-cn\|firmware\|ollama-cloud\|aihubmix/kimi-k2.5` → `openai\|github-copilot\|opencode/gpt-5.5 (medium)` → `zai-coding-plan\|opencode/glm-5` → `opencode/big-pickle` |
+| **Sisyphus**          | `claude-opus-4-7`   | `anthropic\|github-copilot\|opencode/claude-opus-4-7 (max)` → `opencode-go/kimi-k2.6` → `kimi-for-coding/k2p5` → `opencode\|moonshotai\|moonshotai-cn\|firmware\|ollama-cloud\|aihubmix/kimi-k2.5` → `openai\|github-copilot\|opencode/gpt-5.5 (medium)` → `zai-coding-plan\|opencode/glm-5` → `opencode/big-pickle` |
 | **Hephaestus**        | `gpt-5.5`           | `gpt-5.5 (medium)`                                                           |
-| **oracle**            | `gpt-5.5`           | `openai\|github-copilot\|opencode/gpt-5.5 (high)` → `google\|github-copilot\|opencode/gemini-3.1-pro (high)` → `anthropic\|github-copilot\|opencode/claude-opus-4-7 (max)` → `opencode-go/glm-5` |
-| **librarian**         | `gpt-5.4-mini-fast` | `openai/gpt-5.4-mini-fast` → `opencode-go\|vercel/minimax-m2.7-highspeed` → `opencode-go\|vercel/minimax-m2.7` → `anthropic\|opencode\|vercel/claude-haiku-4-5` → `openai\|opencode\|vercel/gpt-5.4-nano` |
-| **explore**           | `gpt-5.4-mini-fast` | `openai/gpt-5.4-mini-fast` → `opencode-go\|vercel/minimax-m2.7-highspeed` → `opencode-go\|vercel/minimax-m2.7` → `anthropic\|opencode\|vercel/claude-haiku-4-5` → `openai\|opencode\|vercel/gpt-5.4-nano` |
-| **multimodal-looker** | `gpt-5.5`           | `openai\|opencode/gpt-5.5 (medium)` → `opencode-go/kimi-k2.5` → `zai-coding-plan/glm-4.6v` → `openai\|github-copilot\|opencode/gpt-5-nano` |
-| **Prometheus**        | `claude-opus-4-7`   | `anthropic\|github-copilot\|opencode/claude-opus-4-7 (max)` → `openai\|github-copilot\|opencode/gpt-5.5 (high)` → `opencode-go/glm-5` → `google\|github-copilot\|opencode/gemini-3.1-pro` |
-| **Metis**             | `claude-opus-4-7`   | `anthropic\|github-copilot\|opencode/claude-opus-4-7 (max)` → `openai\|github-copilot\|opencode/gpt-5.5 (high)` → `opencode-go/glm-5` → `kimi-for-coding/k2p5` |
-| **Momus**             | `gpt-5.5`           | `openai\|github-copilot\|opencode/gpt-5.5 (xhigh)` → `anthropic\|github-copilot\|opencode/claude-opus-4-7 (max)` → `google\|github-copilot\|opencode/gemini-3.1-pro (high)` → `opencode-go/glm-5` |
-| **Atlas**             | `claude-sonnet-4-6` | `anthropic\|github-copilot\|opencode/claude-sonnet-4-6` → `opencode-go/kimi-k2.5` → `openai\|github-copilot\|opencode/gpt-5.5 (medium)` → `opencode-go/minimax-m2.7` |
+| **oracle**            | `gpt-5.5`           | `openai\|github-copilot\|opencode/gpt-5.5 (high)` → `google\|github-copilot\|opencode/gemini-3.1-pro (high)` → `anthropic\|github-copilot\|opencode/claude-opus-4-7 (max)` → `opencode-go/glm-5.1` |
+| **librarian**         | `gpt-5.4-mini-fast` | `openai/gpt-5.4-mini-fast` → `opencode-go/qwen3.5-plus` → `vercel/minimax-m2.7-highspeed` → `opencode-go\|vercel/minimax-m2.7` → `anthropic\|opencode\|vercel/claude-haiku-4-5` → `openai\|opencode\|vercel/gpt-5.4-nano` |
+| **explore**           | `gpt-5.4-mini-fast` | `openai/gpt-5.4-mini-fast` → `opencode-go/qwen3.5-plus` → `vercel/minimax-m2.7-highspeed` → `opencode-go\|vercel/minimax-m2.7` → `anthropic\|opencode\|vercel/claude-haiku-4-5` → `openai\|opencode\|vercel/gpt-5.4-nano` |
+| **multimodal-looker** | `gpt-5.5`           | `openai\|opencode/gpt-5.5 (medium)` → `opencode-go/kimi-k2.6` → `zai-coding-plan/glm-4.6v` → `openai\|github-copilot\|opencode/gpt-5-nano` |
+| **Prometheus**        | `claude-opus-4-7`   | `anthropic\|github-copilot\|opencode/claude-opus-4-7 (max)` → `openai\|github-copilot\|opencode/gpt-5.5 (high)` → `opencode-go/glm-5.1` → `google\|github-copilot\|opencode/gemini-3.1-pro` |
+| **Metis**             | `claude-opus-4-7`   | `anthropic\|github-copilot\|opencode/claude-opus-4-7 (max)` → `openai\|github-copilot\|opencode/gpt-5.5 (high)` → `opencode-go/glm-5.1` → `kimi-for-coding/k2p5` |
+| **Momus**             | `gpt-5.5`           | `openai\|github-copilot\|opencode/gpt-5.5 (xhigh)` → `anthropic\|github-copilot\|opencode/claude-opus-4-7 (max)` → `google\|github-copilot\|opencode/gemini-3.1-pro (high)` → `opencode-go/glm-5.1` |
+| **Atlas**             | `claude-sonnet-4-6` | `anthropic\|github-copilot\|opencode/claude-sonnet-4-6` → `opencode-go/kimi-k2.6` → `openai\|github-copilot\|opencode/gpt-5.5 (medium)` → `opencode-go/minimax-m2.7` |
 
 #### Category Provider Chains
 
 | Category               | Default Model       | Provider Priority                                              |
 | ---------------------- | ------------------- | -------------------------------------------------------------- |
-| **visual-engineering** | `gemini-3.1-pro`    | `google\|github-copilot\|opencode/gemini-3.1-pro (high)` → `zai-coding-plan\|opencode/glm-5` → `anthropic\|github-copilot\|opencode/claude-opus-4-7 (max)` → `opencode-go/glm-5` → `kimi-for-coding/k2p5` |
-| **ultrabrain**         | `gpt-5.5`           | `openai\|opencode/gpt-5.5 (xhigh)` → `google\|github-copilot\|opencode/gemini-3.1-pro (high)` → `anthropic\|github-copilot\|opencode/claude-opus-4-7 (max)` → `opencode-go/glm-5` |
+| **visual-engineering** | `gemini-3.1-pro`    | `google\|github-copilot\|opencode/gemini-3.1-pro (high)` → `zai-coding-plan\|opencode/glm-5` → `anthropic\|github-copilot\|opencode/claude-opus-4-7 (max)` → `opencode-go/glm-5.1` → `kimi-for-coding/k2p5` |
+| **ultrabrain**         | `gpt-5.5`           | `openai\|opencode/gpt-5.5 (xhigh)` → `google\|github-copilot\|opencode/gemini-3.1-pro (high)` → `anthropic\|github-copilot\|opencode/claude-opus-4-7 (max)` → `opencode-go/glm-5.1` |
 | **deep**               | `gpt-5.5`           | `openai\|github-copilot\|venice\|opencode/gpt-5.5 (medium)` → `anthropic\|github-copilot\|opencode/claude-opus-4-7 (max)` → `google\|github-copilot\|opencode/gemini-3.1-pro (high)` |
 | **artistry**           | `gemini-3.1-pro`    | `google\|github-copilot\|opencode/gemini-3.1-pro (high)` → `anthropic\|github-copilot\|opencode/claude-opus-4-7 (max)` → `openai\|github-copilot\|opencode/gpt-5.5` |
 | **quick**              | `gpt-5.4-mini`      | `openai\|github-copilot\|opencode/gpt-5.4-mini` → `anthropic\|github-copilot\|opencode/claude-haiku-4-5` → `google\|github-copilot\|opencode/gemini-3-flash` → `opencode-go/minimax-m2.7` → `opencode/gpt-5-nano` |
-| **unspecified-low**    | `claude-sonnet-4-6` | `anthropic\|github-copilot\|opencode/claude-sonnet-4-6` → `openai\|opencode/gpt-5.3-codex (medium)` → `opencode-go/kimi-k2.5` → `google\|github-copilot\|opencode/gemini-3-flash` → `opencode-go/minimax-m2.7` |
-| **unspecified-high**   | `claude-opus-4-7`   | `anthropic\|github-copilot\|opencode/claude-opus-4-7 (max)` → `openai\|github-copilot\|opencode/gpt-5.5 (high)` → `zai-coding-plan\|opencode/glm-5` → `kimi-for-coding/k2p5` → `opencode-go/glm-5` → `opencode/kimi-k2.5` → `opencode\|moonshotai\|moonshotai-cn\|firmware\|ollama-cloud\|aihubmix/kimi-k2.5` |
-| **writing**            | `gemini-3-flash`    | `google\|github-copilot\|opencode/gemini-3-flash` → `opencode-go/kimi-k2.5` → `anthropic\|github-copilot\|opencode/claude-sonnet-4-6` → `opencode-go/minimax-m2.7` |
+| **unspecified-low**    | `claude-sonnet-4-6` | `anthropic\|github-copilot\|opencode/claude-sonnet-4-6` → `openai\|opencode/gpt-5.3-codex (medium)` → `opencode-go/kimi-k2.6` → `google\|github-copilot\|opencode/gemini-3-flash` → `opencode-go/minimax-m2.7` |
+| **unspecified-high**   | `claude-opus-4-7`   | `anthropic\|github-copilot\|opencode/claude-opus-4-7 (max)` → `openai\|github-copilot\|opencode/gpt-5.5 (high)` → `zai-coding-plan\|opencode/glm-5` → `kimi-for-coding/k2p5` → `opencode-go/glm-5.1` → `opencode/kimi-k2.5` → `opencode\|moonshotai\|moonshotai-cn\|firmware\|ollama-cloud\|aihubmix/kimi-k2.5` |
+| **writing**            | `gemini-3-flash`    | `google\|github-copilot\|opencode/gemini-3-flash` → `opencode-go/kimi-k2.6` → `anthropic\|github-copilot\|opencode/claude-sonnet-4-6` → `opencode-go/minimax-m2.7` |
 
 Run `bunx oh-my-opencode doctor --verbose` to see effective model resolution for your config.
 

docs/reference/features.md

@@ -10,26 +10,26 @@ Core-agent tab cycling is deterministic via injected runtime order field. The fi
 
 | Agent                 | Model              | Purpose                                                                                                                                                                                                                                                                                                                                                          |
 | --------------------- | ------------------ | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| **Sisyphus**          | `claude-opus-4-7`  | The default orchestrator. Plans, delegates, and executes complex tasks using specialized subagents with aggressive parallel execution. Todo-driven workflow with extended thinking (32k budget). Fallback: `opencode-go/kimi-k2.5` → `kimi-for-coding/k2p5` → `opencode\|moonshotai\|moonshotai-cn\|firmware\|ollama-cloud\|aihubmix/kimi-k2.5` → `openai\|github-copilot\|opencode/gpt-5.5 (medium)` → `zai-coding-plan\|opencode/glm-5` → `opencode/big-pickle`. |
+| **Sisyphus**          | `claude-opus-4-7`  | The default orchestrator. Plans, delegates, and executes complex tasks using specialized subagents with aggressive parallel execution. Todo-driven workflow with extended thinking (32k budget). Fallback: `opencode-go/kimi-k2.6` → `kimi-for-coding/k2p5` → `opencode\|moonshotai\|moonshotai-cn\|firmware\|ollama-cloud\|aihubmix/kimi-k2.5` → `openai\|github-copilot\|opencode/gpt-5.5 (medium)` → `zai-coding-plan\|opencode/glm-5` → `opencode/big-pickle`. |
 | **Hephaestus**        | `gpt-5.5`          | The Legitimate Craftsman. Autonomous deep worker inspired by AmpCode's deep mode. Goal-oriented execution with thorough research before action. Explores codebase patterns, completes tasks end-to-end without premature stopping. Named after the Greek god of forge and craftsmanship. Requires a GPT-capable provider. |
-| **Oracle**            | `gpt-5.5`          | Architecture decisions, code review, debugging. Read-only consultation with stellar logical reasoning and deep analysis. Inspired by AmpCode. Fallback: `google\|github-copilot\|opencode/gemini-3.1-pro (high)` → `anthropic\|github-copilot\|opencode/claude-opus-4-7 (max)` → `opencode-go/glm-5`.                                                                                                                                 |
-| **Librarian**         | `gpt-5.4-mini-fast` | Multi-repo analysis, documentation lookup, OSS implementation examples. Deep codebase understanding with evidence-based answers. Fallback: `opencode-go/minimax-m2.7-highspeed` → `opencode-go/minimax-m2.7` → `anthropic\|opencode/claude-haiku-4-5` → `openai\|opencode/gpt-5.4-nano`. |
-| **Explore**           | `gpt-5.4-mini-fast` | Fast codebase exploration and contextual grep. Fallback: `opencode-go/minimax-m2.7-highspeed` → `opencode-go/minimax-m2.7` → `anthropic\|opencode/claude-haiku-4-5` → `openai\|opencode/gpt-5.4-nano`. |
-| **Multimodal-Looker** | `gpt-5.5`          | Visual content specialist. Analyzes PDFs, images, diagrams to extract information. Fallback: `opencode-go/kimi-k2.5` → `zai-coding-plan/glm-4.6v` → `openai\|github-copilot\|opencode/gpt-5-nano`.                                                                                                                                                                                                   |
+| **Oracle**            | `gpt-5.5`          | Architecture decisions, code review, debugging. Read-only consultation with stellar logical reasoning and deep analysis. Inspired by AmpCode. Fallback: `google\|github-copilot\|opencode/gemini-3.1-pro (high)` → `anthropic\|github-copilot\|opencode/claude-opus-4-7 (max)` → `opencode-go/glm-5.1`.                                                                                                                                 |
+| **Librarian**         | `gpt-5.4-mini-fast` | Multi-repo analysis, documentation lookup, OSS implementation examples. Deep codebase understanding with evidence-based answers. Fallback: `opencode-go/qwen3.5-plus` → `opencode-go/minimax-m2.7` → `anthropic\|opencode/claude-haiku-4-5` → `openai\|opencode/gpt-5.4-nano`. |
+| **Explore**           | `gpt-5.4-mini-fast` | Fast codebase exploration and contextual grep. Fallback: `opencode-go/qwen3.5-plus` → `opencode-go/minimax-m2.7` → `anthropic\|opencode/claude-haiku-4-5` → `openai\|opencode/gpt-5.4-nano`. |
+| **Multimodal-Looker** | `gpt-5.5`          | Visual content specialist. Analyzes PDFs, images, diagrams to extract information. Fallback: `opencode-go/kimi-k2.6` → `zai-coding-plan/glm-4.6v` → `openai\|github-copilot\|opencode/gpt-5-nano`.                                                                                                                                                                                                   |
 ### Planning Agents
 
 | Agent          | Model             | Purpose                                                                                                                                            |
 | -------------- | ----------------- | -------------------------------------------------------------------------------------------------------------------------------------------------- |
-| **Prometheus** | `claude-opus-4-7` | Strategic planner with interview mode. Creates detailed work plans through iterative questioning. Fallback: `openai\|github-copilot\|opencode/gpt-5.5 (high)` → `opencode-go/glm-5` → `google\|github-copilot\|opencode/gemini-3.1-pro`. |
-| **Metis**      | `claude-opus-4-7` | Plan consultant — pre-planning analysis. Identifies hidden intentions, ambiguities, and AI failure points. Fallback: `openai\|github-copilot\|opencode/gpt-5.5 (high)` → `opencode-go/glm-5` → `kimi-for-coding/k2p5`. |
-| **Momus**      | `gpt-5.5`         | Plan reviewer — validates plans against clarity, verifiability, and completeness standards. Fallback: `anthropic\|github-copilot\|opencode/claude-opus-4-7 (max)` → `google\|github-copilot\|opencode/gemini-3.1-pro (high)` → `opencode-go/glm-5`. |
+| **Prometheus** | `claude-opus-4-7` | Strategic planner with interview mode. Creates detailed work plans through iterative questioning. Fallback: `openai\|github-copilot\|opencode/gpt-5.5 (high)` → `opencode-go/glm-5.1` → `google\|github-copilot\|opencode/gemini-3.1-pro`. |
+| **Metis**      | `claude-opus-4-7` | Plan consultant — pre-planning analysis. Identifies hidden intentions, ambiguities, and AI failure points. Fallback: `openai\|github-copilot\|opencode/gpt-5.5 (high)` → `opencode-go/glm-5.1` → `kimi-for-coding/k2p5`. |
+| **Momus**      | `gpt-5.5`         | Plan reviewer — validates plans against clarity, verifiability, and completeness standards. Fallback: `anthropic\|github-copilot\|opencode/claude-opus-4-7 (max)` → `google\|github-copilot\|opencode/gemini-3.1-pro (high)` → `opencode-go/glm-5.1`. |
 
 ### Orchestration Agents
 
 | Agent               | Model                  | Purpose                                                                                                                                                                                     |
 | ------------------- | ---------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
-| **Atlas**           | `claude-sonnet-4-6`    | Todo-list orchestrator. Executes planned tasks systematically, managing todo items and coordinating work. Fallback: `opencode-go/kimi-k2.5` → `openai\|github-copilot\|opencode/gpt-5.5 (medium)` → `opencode-go/minimax-m2.7`. |
-| **Sisyphus-Junior** | _(category-dependent)_ | Category-spawned executor. Model is selected automatically based on the task category (visual-engineering, quick, deep, etc.). Its built-in general fallback chain is `anthropic\|github-copilot\|opencode/claude-sonnet-4-6` → `opencode-go/kimi-k2.5` → `openai\|github-copilot\|opencode/gpt-5.5 (medium)` → `opencode-go/minimax-m2.7` → `opencode/big-pickle`. |
+| **Atlas**           | `claude-sonnet-4-6`    | Todo-list orchestrator. Executes planned tasks systematically, managing todo items and coordinating work. Fallback: `opencode-go/kimi-k2.6` → `openai\|github-copilot\|opencode/gpt-5.5 (medium)` → `opencode-go/minimax-m2.7`. |
+| **Sisyphus-Junior** | _(category-dependent)_ | Category-spawned executor. Model is selected automatically based on the task category (visual-engineering, quick, deep, etc.). Its built-in general fallback chain is `anthropic\|github-copilot\|opencode/claude-sonnet-4-6` → `opencode-go/kimi-k2.6` → `openai\|github-copilot\|opencode/gpt-5.5 (medium)` → `opencode-go/minimax-m2.7` → `opencode/big-pickle`. |
 
 ### Invoking Agents
 

src/agents/AGENTS.md

@@ -15,11 +15,11 @@ Agent factories following `createXXXAgent(model) → AgentConfig` pattern. Each
 
 | Agent | Model | Temp | Mode | Fallback Chain | Purpose |
 |-------|-------|------|------|----------------|---------|
-| **Sisyphus** | claude-opus-4-7 max | 0.1 | all | k2p5 -> kimi-k2.5 -> gpt-5.5 medium -> glm-5 -> big-pickle | Main orchestrator, plans + delegates |
+| **Sisyphus** | claude-opus-4-7 max | 0.1 | all | k2p5 -> kimi-k2.6 -> gpt-5.5 medium -> glm-5 -> big-pickle | Main orchestrator, plans + delegates |
 | **Hephaestus** | gpt-5.5 medium | 0.1 | all | — | Autonomous deep worker |
 | **Oracle** | gpt-5.5 high | 0.1 | subagent | gemini-3.1-pro high -> claude-opus-4-7 max | Read-only consultation |
-| **Librarian** | gpt-5.4-mini-fast | 0.1 | subagent | minimax-m2.7-highspeed -> minimax-m2.7 -> claude-haiku-4-5 -> gpt-5.4-nano | External docs/code search |
-| **Explore** | gpt-5.4-mini-fast | 0.1 | subagent | minimax-m2.7-highspeed -> minimax-m2.7 -> claude-haiku-4-5 -> gpt-5.4-nano | Contextual grep |
+| **Librarian** | gpt-5.4-mini-fast | 0.1 | subagent | qwen3.5-plus -> minimax-m2.7-highspeed -> minimax-m2.7 -> claude-haiku-4-5 -> gpt-5.4-nano | External docs/code search |
+| **Explore** | gpt-5.4-mini-fast | 0.1 | subagent | qwen3.5-plus -> minimax-m2.7-highspeed -> minimax-m2.7 -> claude-haiku-4-5 -> gpt-5.4-nano | Contextual grep |
 | **Multimodal-Looker** | gpt-5.3-codex medium | 0.1 | subagent | k2p5 -> gemini-3-flash -> glm-4.6v -> gpt-5-nano | PDF/image analysis |
 | **Metis** | claude-opus-4-7 max | **0.3** | subagent | gpt-5.5 high -> gemini-3.1-pro high | Pre-planning consultant |
 | **Momus** | gpt-5.5 xhigh | 0.1 | subagent | claude-opus-4-7 max -> gemini-3.1-pro high | Plan reviewer |

src/cli/__snapshots__/model-fallback.test.ts.snap

@@ -4138,7 +4138,7 @@ exports[`generateModelConfig Vercel AI Gateway provider uses vercel/ model strin
     "atlas": {
       "fallback_models": [
         {
-          "model": "vercel/moonshotai/kimi-k2.5",
+          "model": "vercel/moonshotai/kimi-k2.6",
         },
         {
           "model": "vercel/openai/gpt-5.5",
@@ -4189,7 +4189,7 @@ exports[`generateModelConfig Vercel AI Gateway provider uses vercel/ model strin
           "variant": "high",
         },
         {
-          "model": "vercel/zai/glm-5",
+          "model": "vercel/zai/glm-5.1",
         },
       ],
       "model": "vercel/anthropic/claude-opus-4.7",
@@ -4206,7 +4206,7 @@ exports[`generateModelConfig Vercel AI Gateway provider uses vercel/ model strin
           "variant": "high",
         },
         {
-          "model": "vercel/zai/glm-5",
+          "model": "vercel/zai/glm-5.1",
         },
       ],
       "model": "vercel/openai/gpt-5.5",
@@ -4215,7 +4215,7 @@ exports[`generateModelConfig Vercel AI Gateway provider uses vercel/ model strin
     "multimodal-looker": {
       "fallback_models": [
         {
-          "model": "vercel/moonshotai/kimi-k2.5",
+          "model": "vercel/moonshotai/kimi-k2.6",
         },
         {
           "model": "vercel/zai/glm-4.6v",
@@ -4238,7 +4238,7 @@ exports[`generateModelConfig Vercel AI Gateway provider uses vercel/ model strin
           "variant": "max",
         },
         {
-          "model": "vercel/zai/glm-5",
+          "model": "vercel/zai/glm-5.1",
         },
       ],
       "model": "vercel/openai/gpt-5.5",
@@ -4251,7 +4251,7 @@ exports[`generateModelConfig Vercel AI Gateway provider uses vercel/ model strin
           "variant": "high",
         },
         {
-          "model": "vercel/zai/glm-5",
+          "model": "vercel/zai/glm-5.1",
         },
         {
           "model": "vercel/google/gemini-3.1-pro-preview",
@@ -4262,6 +4262,9 @@ exports[`generateModelConfig Vercel AI Gateway provider uses vercel/ model strin
     },
     "sisyphus": {
       "fallback_models": [
+        {
+          "model": "vercel/moonshotai/kimi-k2.6",
+        },
         {
           "model": "vercel/moonshotai/kimi-k2.5",
         },
@@ -4279,7 +4282,7 @@ exports[`generateModelConfig Vercel AI Gateway provider uses vercel/ model strin
     "sisyphus-junior": {
       "fallback_models": [
         {
-          "model": "vercel/moonshotai/kimi-k2.5",
+          "model": "vercel/moonshotai/kimi-k2.6",
         },
         {
           "model": "vercel/openai/gpt-5.5",
@@ -4348,7 +4351,7 @@ exports[`generateModelConfig Vercel AI Gateway provider uses vercel/ model strin
           "variant": "max",
         },
         {
-          "model": "vercel/zai/glm-5",
+          "model": "vercel/zai/glm-5.1",
         },
       ],
       "model": "vercel/openai/gpt-5.5",
@@ -4361,7 +4364,7 @@ exports[`generateModelConfig Vercel AI Gateway provider uses vercel/ model strin
           "variant": "medium",
         },
         {
-          "model": "vercel/moonshotai/kimi-k2.5",
+          "model": "vercel/moonshotai/kimi-k2.6",
         },
         {
           "model": "vercel/google/gemini-3-flash",
@@ -4379,7 +4382,7 @@ exports[`generateModelConfig Vercel AI Gateway provider uses vercel/ model strin
           "variant": "medium",
         },
         {
-          "model": "vercel/moonshotai/kimi-k2.5",
+          "model": "vercel/moonshotai/kimi-k2.6",
         },
         {
           "model": "vercel/google/gemini-3-flash",
@@ -4399,6 +4402,9 @@ exports[`generateModelConfig Vercel AI Gateway provider uses vercel/ model strin
           "model": "vercel/anthropic/claude-opus-4.7",
           "variant": "max",
         },
+        {
+          "model": "vercel/zai/glm-5.1",
+        },
       ],
       "model": "vercel/google/gemini-3.1-pro-preview",
       "variant": "high",
@@ -4406,7 +4412,7 @@ exports[`generateModelConfig Vercel AI Gateway provider uses vercel/ model strin
     "writing": {
       "fallback_models": [
         {
-          "model": "vercel/moonshotai/kimi-k2.5",
+          "model": "vercel/moonshotai/kimi-k2.6",
         },
         {
           "model": "vercel/anthropic/claude-sonnet-4.6",
@@ -4428,7 +4434,7 @@ exports[`generateModelConfig Vercel AI Gateway provider uses vercel/ model strin
     "atlas": {
       "fallback_models": [
         {
-          "model": "vercel/moonshotai/kimi-k2.5",
+          "model": "vercel/moonshotai/kimi-k2.6",
         },
         {
           "model": "vercel/openai/gpt-5.5",
@@ -4479,7 +4485,7 @@ exports[`generateModelConfig Vercel AI Gateway provider uses vercel/ model strin
           "variant": "high",
         },
         {
-          "model": "vercel/zai/glm-5",
+          "model": "vercel/zai/glm-5.1",
         },
       ],
       "model": "vercel/anthropic/claude-opus-4.7",
@@ -4496,7 +4502,7 @@ exports[`generateModelConfig Vercel AI Gateway provider uses vercel/ model strin
           "variant": "high",
         },
         {
-          "model": "vercel/zai/glm-5",
+          "model": "vercel/zai/glm-5.1",
         },
       ],
       "model": "vercel/openai/gpt-5.5",
@@ -4505,7 +4511,7 @@ exports[`generateModelConfig Vercel AI Gateway provider uses vercel/ model strin
     "multimodal-looker": {
       "fallback_models": [
         {
-          "model": "vercel/moonshotai/kimi-k2.5",
+          "model": "vercel/moonshotai/kimi-k2.6",
         },
         {
           "model": "vercel/zai/glm-4.6v",
@@ -4528,7 +4534,7 @@ exports[`generateModelConfig Vercel AI Gateway provider uses vercel/ model strin
           "variant": "max",
         },
         {
-          "model": "vercel/zai/glm-5",
+          "model": "vercel/zai/glm-5.1",
         },
       ],
       "model": "vercel/openai/gpt-5.5",
@@ -4541,7 +4547,7 @@ exports[`generateModelConfig Vercel AI Gateway provider uses vercel/ model strin
           "variant": "high",
         },
         {
-          "model": "vercel/zai/glm-5",
+          "model": "vercel/zai/glm-5.1",
         },
         {
           "model": "vercel/google/gemini-3.1-pro-preview",
@@ -4552,6 +4558,9 @@ exports[`generateModelConfig Vercel AI Gateway provider uses vercel/ model strin
     },
     "sisyphus": {
       "fallback_models": [
+        {
+          "model": "vercel/moonshotai/kimi-k2.6",
+        },
         {
           "model": "vercel/moonshotai/kimi-k2.5",
         },
@@ -4569,7 +4578,7 @@ exports[`generateModelConfig Vercel AI Gateway provider uses vercel/ model strin
     "sisyphus-junior": {
       "fallback_models": [
         {
-          "model": "vercel/moonshotai/kimi-k2.5",
+          "model": "vercel/moonshotai/kimi-k2.6",
         },
         {
           "model": "vercel/openai/gpt-5.5",
@@ -4638,7 +4647,7 @@ exports[`generateModelConfig Vercel AI Gateway provider uses vercel/ model strin
           "variant": "max",
         },
         {
-          "model": "vercel/zai/glm-5",
+          "model": "vercel/zai/glm-5.1",
         },
       ],
       "model": "vercel/openai/gpt-5.5",
@@ -4653,6 +4662,9 @@ exports[`generateModelConfig Vercel AI Gateway provider uses vercel/ model strin
         {
           "model": "vercel/zai/glm-5",
         },
+        {
+          "model": "vercel/zai/glm-5.1",
+        },
         {
           "model": "vercel/moonshotai/kimi-k2.5",
         },
@@ -4667,7 +4679,7 @@ exports[`generateModelConfig Vercel AI Gateway provider uses vercel/ model strin
           "variant": "medium",
         },
         {
-          "model": "vercel/moonshotai/kimi-k2.5",
+          "model": "vercel/moonshotai/kimi-k2.6",
         },
         {
           "model": "vercel/google/gemini-3-flash",
@@ -4687,6 +4699,9 @@ exports[`generateModelConfig Vercel AI Gateway provider uses vercel/ model strin
           "model": "vercel/anthropic/claude-opus-4.7",
           "variant": "max",
         },
+        {
+          "model": "vercel/zai/glm-5.1",
+        },
       ],
       "model": "vercel/google/gemini-3.1-pro-preview",
       "variant": "high",
@@ -4694,7 +4709,7 @@ exports[`generateModelConfig Vercel AI Gateway provider uses vercel/ model strin
     "writing": {
       "fallback_models": [
         {
-          "model": "vercel/moonshotai/kimi-k2.5",
+          "model": "vercel/moonshotai/kimi-k2.6",
         },
         {
           "model": "vercel/anthropic/claude-sonnet-4.6",

src/cli/config-manager/plugin-detection.test.ts

@@ -54,7 +54,7 @@ describe("detectCurrentConfig - single package detection", () => {
   it("detects OpenCode Go from the existing omo config", () => {
     // given
     writeFileSync(testConfigPath, JSON.stringify({ plugin: ["oh-my-opencode"] }, null, 2) + "\n", "utf-8")
-    writeFileSync(testOmoConfigPath, JSON.stringify({ agents: { atlas: { model: "opencode-go/kimi-k2.5" } } }, null, 2) + "\n", "utf-8")
+    writeFileSync(testOmoConfigPath, JSON.stringify({ agents: { atlas: { model: "opencode-go/kimi-k2.6" } } }, null, 2) + "\n", "utf-8")
 
     // when
     const result = detectCurrentConfig()

src/cli/doctor/checks/model-resolution-config.test.ts

@@ -31,13 +31,13 @@ describe("model-resolution-config", () => {
       process.env.OPENCODE_CONFIG_DIR = testConfigDir
       writeFileSync(
         join(testConfigDir, "oh-my-openagent.json"),
-        JSON.stringify({ agents: { atlas: { model: "opencode-go/kimi-k2.5" } } }, null, 2) + "\n",
+        JSON.stringify({ agents: { atlas: { model: "opencode-go/kimi-k2.6" } } }, null, 2) + "\n",
         "utf-8",
       )
 
       const config = loadOmoConfig()
 
-      expect(config?.agents?.atlas?.model).toBe("opencode-go/kimi-k2.5")
+      expect(config?.agents?.atlas?.model).toBe("opencode-go/kimi-k2.6")
     } finally {
       rmSync(testConfigDir, { recursive: true, force: true })
     }

src/cli/model-fallback.ts

@@ -130,7 +130,7 @@ export function generateModelConfig(config: InstallConfig): GeneratedOmoConfig {
       if (avail.native.openai) {
         agentConfig = { model: "openai/gpt-5.4-mini-fast" }
       } else if (avail.opencodeGo) {
-        agentConfig = { model: "opencode-go/minimax-m2.7" }
+        agentConfig = { model: "opencode-go/qwen3.5-plus" }
       } else if (avail.zai) {
         agentConfig = { model: ZAI_MODEL }
       } else if (avail.vercelAiGateway) {
@@ -151,7 +151,7 @@ export function generateModelConfig(config: InstallConfig): GeneratedOmoConfig {
       } else if (avail.opencodeZen) {
         agentConfig = { model: "opencode/claude-haiku-4-5" }
       } else if (avail.opencodeGo) {
-        agentConfig = { model: "opencode-go/minimax-m2.7" }
+        agentConfig = { model: "opencode-go/qwen3.5-plus" }
       } else if (avail.copilot) {
         agentConfig = { model: "github-copilot/gpt-5-mini" }
       } else if (avail.vercelAiGateway) {

src/hooks/model-fallback/hook.test.ts

@@ -163,7 +163,7 @@ describe("model fallback hook", () => {
 
     expect(secondOutput.message["model"]).toEqual({
       providerID: "opencode-go",
-      modelID: "kimi-k2.5",
+      modelID: "kimi-k2.6",
     })
     expect(secondOutput.message["variant"]).toBeUndefined()
   })

src/plugin-handlers/prometheus-agent-config-builder.test.ts

@@ -103,12 +103,12 @@ describe("buildPrometheusAgentConfig", () => {
         expect(result).toBeDefined();
       });
 
-      test("accepts glm-5 from fallback chain", async () => {
+      test("accepts glm-5.1 from fallback chain", async () => {
         const result = await buildPrometheusAgentConfig({
           configAgentPlan: undefined,
           pluginPrometheusOverride: undefined,
           userCategories: undefined,
-          currentModel: "opencode-go/glm-5",
+          currentModel: "opencode-go/glm-5.1",
         });
         expect(result).toBeDefined();
       });

src/plugin/event.model-fallback.test.ts

@@ -222,7 +222,7 @@ describe("createEventHandler - model fallback", () => {
     expect(promptCalls).toEqual([sessionID])
     expect(output.message["model"]).toMatchObject({
       providerID: "opencode-go",
-      modelID: "kimi-k2.5",
+      modelID: "kimi-k2.6",
     })
     expect(output.message["variant"]).toBeUndefined()
   })
@@ -549,14 +549,14 @@ describe("createEventHandler - model fallback", () => {
     //#then - first fallback entry applied (no-op skip: claude-opus-4-7 matches current model after normalization)
     expect(first.message["model"]).toMatchObject({
       providerID: "opencode-go",
-      modelID: "kimi-k2.5",
+      modelID: "kimi-k2.6",
     })
     expect(first.message["variant"]).toBeUndefined()
 
     //#when - second retry cycle
     const second = await triggerRetryCycle()
 
-    //#then - second fallback entry applied (chain advanced past opencode-go/kimi-k2.5)
+    //#then - second fallback entry applied (chain advanced past opencode-go/kimi-k2.6)
     expect(second.message["model"]).toMatchObject({
       providerID: "kimi-for-coding",
       modelID: "k2p5",

src/shared/model-capabilities/supplemental-entries.ts

@@ -1,6 +1,21 @@
 import type { ModelCapabilitiesSnapshotEntry } from "./types"
 
 export const SUPPLEMENTAL_MODEL_CAPABILITIES: Record<string, ModelCapabilitiesSnapshotEntry> = {
+	"kimi-k2.6": {
+		id: "kimi-k2.6",
+		family: "kimi",
+		reasoning: true,
+		temperature: true,
+		toolCall: true,
+		modalities: {
+			input: ["text", "image", "video"],
+			output: ["text"],
+		},
+		limit: {
+			context: 262144,
+			output: 262144,
+		},
+	},
 	"gpt-5.5": {
 		id: "gpt-5.5",
 		family: "gpt",

src/shared/model-requirements.test.ts

@@ -41,7 +41,7 @@ describe("AGENT_MODEL_REQUIREMENTS", () => {
 
     const second = sisyphus.fallbackChain[1]
     expect(second.providers).toEqual(["opencode-go", "vercel"])
-    expect(second.model).toBe("kimi-k2.5")
+    expect(second.model).toBe("kimi-k2.6")
 
     const third = sisyphus.fallbackChain[2]
     expect(third.providers).toEqual(["kimi-for-coding"])
@@ -72,27 +72,31 @@ describe("AGENT_MODEL_REQUIREMENTS", () => {
     // then - fallbackChain exists with openai/gpt-5.4-mini-fast as first entry
     expect(librarian).toBeDefined()
     expect(librarian.fallbackChain).toBeArray()
-    expect(librarian.fallbackChain).toHaveLength(5)
+    expect(librarian.fallbackChain).toHaveLength(6)
 
     const primary = librarian.fallbackChain[0]
     expect(primary.providers).toEqual(["openai"])
     expect(primary.model).toBe("gpt-5.4-mini-fast")
 
     const second = librarian.fallbackChain[1]
-    expect(second.providers[0]).toBe("opencode-go")
-    expect(second.model).toBe("minimax-m2.7-highspeed")
+    expect(second.providers).toContain("opencode-go")
+    expect(second.model).toBe("qwen3.5-plus")
 
-    const tertiary = librarian.fallbackChain[2]
-    expect(tertiary.providers[0]).toBe("opencode-go")
-    expect(tertiary.model).toBe("minimax-m2.7")
+    const third = librarian.fallbackChain[2]
+    expect(third.providers).toEqual(["vercel"])
+    expect(third.model).toBe("minimax-m2.7-highspeed")
 
     const quaternary = librarian.fallbackChain[3]
-    expect(quaternary.providers).toContain("anthropic")
-    expect(quaternary.model).toBe("claude-haiku-4-5")
+    expect(quaternary.providers).toContain("opencode-go")
+    expect(quaternary.model).toBe("minimax-m2.7")
 
-    const fifth = librarian.fallbackChain[4]
-    expect(fifth.providers).toContain("openai")
-    expect(fifth.model).toBe("gpt-5.4-nano")
+    const quinary = librarian.fallbackChain[4]
+    expect(quinary.providers).toContain("anthropic")
+    expect(quinary.model).toBe("claude-haiku-4-5")
+
+    const sixth = librarian.fallbackChain[5]
+    expect(sixth.providers).toContain("openai")
+    expect(sixth.model).toBe("gpt-5.4-nano")
   })
 
   test("explore has valid fallbackChain with openai/gpt-5.4-mini-fast as primary", () => {
@@ -102,7 +106,7 @@ describe("AGENT_MODEL_REQUIREMENTS", () => {
     // when - accessing explore requirement
     expect(explore).toBeDefined()
     expect(explore.fallbackChain).toBeArray()
-    expect(explore.fallbackChain).toHaveLength(5)
+    expect(explore.fallbackChain).toHaveLength(6)
 
     const primary = explore.fallbackChain[0]
     expect(primary.providers).toEqual(["openai"])
@@ -110,19 +114,23 @@ describe("AGENT_MODEL_REQUIREMENTS", () => {
 
     const secondary = explore.fallbackChain[1]
     expect(secondary.providers).toContain("opencode-go")
-    expect(secondary.model).toBe("minimax-m2.7-highspeed")
+    expect(secondary.model).toBe("qwen3.5-plus")
 
-    const tertiary = explore.fallbackChain[2]
-    expect(tertiary.providers).toContain("opencode-go")
-    expect(tertiary.model).toBe("minimax-m2.7")
+    const third = explore.fallbackChain[2]
+    expect(third.providers).toEqual(["vercel"])
+    expect(third.model).toBe("minimax-m2.7-highspeed")
 
     const quaternary = explore.fallbackChain[3]
-    expect(quaternary.providers).toContain("anthropic")
-    expect(quaternary.model).toBe("claude-haiku-4-5")
+    expect(quaternary.providers).toContain("opencode-go")
+    expect(quaternary.model).toBe("minimax-m2.7")
 
-    const fifth = explore.fallbackChain[4]
-    expect(fifth.providers).toContain("openai")
-    expect(fifth.model).toBe("gpt-5.4-nano")
+    const quinary = explore.fallbackChain[4]
+    expect(quinary.providers).toContain("anthropic")
+    expect(quinary.model).toBe("claude-haiku-4-5")
+
+    const sixth = explore.fallbackChain[5]
+    expect(sixth.providers).toContain("openai")
+    expect(sixth.model).toBe("gpt-5.4-nano")
   })
 
   test("multimodal-looker has valid fallbackChain with gpt-5.5 as primary", () => {
@@ -130,7 +138,7 @@ describe("AGENT_MODEL_REQUIREMENTS", () => {
     const multimodalLooker = AGENT_MODEL_REQUIREMENTS["multimodal-looker"]
 
     // when - accessing multimodal-looker requirement
-    // then - fallbackChain: gpt-5.5 -> opencode-go/kimi-k2.5 -> glm-4.6v -> gpt-5-nano
+    // then - fallbackChain: gpt-5.5 -> opencode-go/kimi-k2.6 -> glm-4.6v -> gpt-5-nano
     expect(multimodalLooker).toBeDefined()
     expect(multimodalLooker.fallbackChain).toBeArray()
     expect(multimodalLooker.fallbackChain).toHaveLength(4)
@@ -142,7 +150,7 @@ describe("AGENT_MODEL_REQUIREMENTS", () => {
 
     const secondary = multimodalLooker.fallbackChain[1]
     expect(secondary.providers).toEqual(["opencode-go", "vercel"])
-    expect(secondary.model).toBe("kimi-k2.5")
+    expect(secondary.model).toBe("kimi-k2.6")
 
     const tertiary = multimodalLooker.fallbackChain[2]
     expect(tertiary.model).toBe("glm-4.6v")
@@ -222,7 +230,7 @@ describe("AGENT_MODEL_REQUIREMENTS", () => {
     expect(primary.providers[0]).toBe("anthropic")
 
     const secondary = atlas.fallbackChain[1]
-    expect(secondary.model).toBe("kimi-k2.5")
+    expect(secondary.model).toBe("kimi-k2.6")
     expect(secondary.providers[0]).toBe("opencode-go")
 
     const tertiary = atlas.fallbackChain[2]
@@ -345,7 +353,7 @@ describe("CATEGORY_MODEL_REQUIREMENTS", () => {
     const visualEngineering = CATEGORY_MODEL_REQUIREMENTS["visual-engineering"]
 
     // when - accessing visual-engineering requirement
-    // then - fallbackChain: gemini-3.1-pro(high) → glm-5 → opus-4-6(max) → opencode-go/glm-5 → k2p5
+    // then - fallbackChain: gemini-3.1-pro(high) → glm-5 → opus-4-6(max) → opencode-go/glm-5.1 → k2p5
     expect(visualEngineering).toBeDefined()
     expect(visualEngineering.fallbackChain).toBeArray()
     expect(visualEngineering.fallbackChain).toHaveLength(5)
@@ -365,7 +373,7 @@ describe("CATEGORY_MODEL_REQUIREMENTS", () => {
 
     const fourth = visualEngineering.fallbackChain[3]
     expect(fourth.providers[0]).toBe("opencode-go")
-    expect(fourth.model).toBe("glm-5")
+    expect(fourth.model).toBe("glm-5.1")
 
     const fifth = visualEngineering.fallbackChain[4]
     expect(fifth.providers[0]).toBe("kimi-for-coding")
@@ -458,7 +466,7 @@ describe("CATEGORY_MODEL_REQUIREMENTS", () => {
     expect(primary.providers[0]).toBe("google")
 
     const second = writing.fallbackChain[1]
-    expect(second.model).toBe("kimi-k2.5")
+    expect(second.model).toBe("kimi-k2.6")
     expect(second.providers[0]).toBe("opencode-go")
 
     const third = writing.fallbackChain[2]

src/shared/model-requirements.ts

@@ -25,7 +25,7 @@ export const AGENT_MODEL_REQUIREMENTS: Record<string, ModelRequirement> = {
         model: "claude-opus-4-7",
         variant: "max",
       },
-      { providers: ["opencode-go", "vercel"], model: "kimi-k2.5" },
+      { providers: ["opencode-go", "vercel"], model: "kimi-k2.6" },
       { providers: ["kimi-for-coding"], model: "k2p5" },
       {
         providers: [
@@ -72,13 +72,14 @@ export const AGENT_MODEL_REQUIREMENTS: Record<string, ModelRequirement> = {
         model: "claude-opus-4-7",
         variant: "max",
       },
-      { providers: ["opencode-go", "vercel"], model: "glm-5" },
+      { providers: ["opencode-go", "vercel"], model: "glm-5.1" },
     ],
   },
   librarian: {
     fallbackChain: [
       { providers: ["openai"], model: "gpt-5.4-mini-fast" },
-      { providers: ["opencode-go", "vercel"], model: "minimax-m2.7-highspeed" },
+      { providers: ["opencode-go"], model: "qwen3.5-plus" },
+      { providers: ["vercel"], model: "minimax-m2.7-highspeed" },
       { providers: ["opencode-go", "vercel"], model: "minimax-m2.7" },
       { providers: ["anthropic", "opencode", "vercel"], model: "claude-haiku-4-5" },
       { providers: ["openai", "opencode", "vercel"], model: "gpt-5.4-nano" },
@@ -87,7 +88,8 @@ export const AGENT_MODEL_REQUIREMENTS: Record<string, ModelRequirement> = {
   explore: {
     fallbackChain: [
       { providers: ["openai"], model: "gpt-5.4-mini-fast" },
-      { providers: ["opencode-go", "vercel"], model: "minimax-m2.7-highspeed" },
+      { providers: ["opencode-go"], model: "qwen3.5-plus" },
+      { providers: ["vercel"], model: "minimax-m2.7-highspeed" },
       { providers: ["opencode-go", "vercel"], model: "minimax-m2.7" },
       { providers: ["anthropic", "opencode", "vercel"], model: "claude-haiku-4-5" },
       { providers: ["openai", "opencode", "vercel"], model: "gpt-5.4-nano" },
@@ -96,7 +98,7 @@ export const AGENT_MODEL_REQUIREMENTS: Record<string, ModelRequirement> = {
   "multimodal-looker": {
     fallbackChain: [
       { providers: ["openai", "opencode", "vercel"], model: "gpt-5.5", variant: "medium" },
-      { providers: ["opencode-go", "vercel"], model: "kimi-k2.5" },
+      { providers: ["opencode-go", "vercel"], model: "kimi-k2.6" },
       { providers: ["zai-coding-plan", "vercel"], model: "glm-4.6v" },
       { providers: ["openai", "github-copilot", "opencode", "vercel"], model: "gpt-5-nano" },
     ],
@@ -113,7 +115,7 @@ export const AGENT_MODEL_REQUIREMENTS: Record<string, ModelRequirement> = {
         model: "gpt-5.5",
         variant: "high",
       },
-      { providers: ["opencode-go", "vercel"], model: "glm-5" },
+      { providers: ["opencode-go", "vercel"], model: "glm-5.1" },
       {
         providers: ["google", "github-copilot", "opencode", "vercel"],
         model: "gemini-3.1-pro",
@@ -132,7 +134,7 @@ export const AGENT_MODEL_REQUIREMENTS: Record<string, ModelRequirement> = {
         model: "gpt-5.5",
         variant: "high",
       },
-      { providers: ["opencode-go", "vercel"], model: "glm-5" },
+      { providers: ["opencode-go", "vercel"], model: "glm-5.1" },
       { providers: ["kimi-for-coding"], model: "k2p5" },
     ],
   },
@@ -153,13 +155,13 @@ export const AGENT_MODEL_REQUIREMENTS: Record<string, ModelRequirement> = {
         model: "gemini-3.1-pro",
         variant: "high",
       },
-      { providers: ["opencode-go", "vercel"], model: "glm-5" },
+      { providers: ["opencode-go", "vercel"], model: "glm-5.1" },
     ],
   },
   atlas: {
     fallbackChain: [
       { providers: ["anthropic", "github-copilot", "opencode", "vercel"], model: "claude-sonnet-4-6" },
-      { providers: ["opencode-go", "vercel"], model: "kimi-k2.5" },
+      { providers: ["opencode-go", "vercel"], model: "kimi-k2.6" },
       {
         providers: ["openai", "github-copilot", "opencode", "vercel"],
         model: "gpt-5.5",
@@ -171,7 +173,7 @@ export const AGENT_MODEL_REQUIREMENTS: Record<string, ModelRequirement> = {
   "sisyphus-junior": {
     fallbackChain: [
       { providers: ["anthropic", "github-copilot", "opencode", "vercel"], model: "claude-sonnet-4-6" },
-      { providers: ["opencode-go", "vercel"], model: "kimi-k2.5" },
+      { providers: ["opencode-go", "vercel"], model: "kimi-k2.6" },
       {
         providers: ["openai", "github-copilot", "opencode", "vercel"],
         model: "gpt-5.5",
@@ -197,7 +199,7 @@ export const CATEGORY_MODEL_REQUIREMENTS: Record<string, ModelRequirement> = {
         model: "claude-opus-4-7",
         variant: "max",
       },
-      { providers: ["opencode-go", "vercel"], model: "glm-5" },
+      { providers: ["opencode-go", "vercel"], model: "glm-5.1" },
       { providers: ["kimi-for-coding"], model: "k2p5" },
     ],
   },
@@ -218,7 +220,7 @@ export const CATEGORY_MODEL_REQUIREMENTS: Record<string, ModelRequirement> = {
         model: "claude-opus-4-7",
         variant: "max",
       },
-      { providers: ["opencode-go", "vercel"], model: "glm-5" },
+      { providers: ["opencode-go", "vercel"], model: "glm-5.1" },
     ],
   },
   deep: {
@@ -284,7 +286,7 @@ export const CATEGORY_MODEL_REQUIREMENTS: Record<string, ModelRequirement> = {
         model: "gpt-5.3-codex",
         variant: "medium",
       },
-      { providers: ["opencode-go", "vercel"], model: "kimi-k2.5" },
+      { providers: ["opencode-go", "vercel"], model: "kimi-k2.6" },
       {
         providers: ["google", "github-copilot", "opencode", "vercel"],
         model: "gemini-3-flash",
@@ -306,7 +308,7 @@ export const CATEGORY_MODEL_REQUIREMENTS: Record<string, ModelRequirement> = {
       },
       { providers: ["zai-coding-plan", "opencode", "vercel"], model: "glm-5" },
       { providers: ["kimi-for-coding"], model: "k2p5" },
-      { providers: ["opencode-go", "vercel"], model: "glm-5" },
+      { providers: ["opencode-go", "vercel"], model: "glm-5.1" },
       { providers: ["opencode", "vercel"], model: "kimi-k2.5" },
       {
         providers: [
@@ -328,7 +330,7 @@ export const CATEGORY_MODEL_REQUIREMENTS: Record<string, ModelRequirement> = {
         providers: ["google", "github-copilot", "opencode", "vercel"],
         model: "gemini-3-flash",
       },
-      { providers: ["opencode-go", "vercel"], model: "kimi-k2.5" },
+      { providers: ["opencode-go", "vercel"], model: "kimi-k2.6" },
       {
         providers: ["anthropic", "github-copilot", "opencode", "vercel"],
         model: "claude-sonnet-4-6",

src/tools/delegate-task/sync-task.test.ts

@@ -272,7 +272,7 @@ describe("executeSyncTask - cleanup on error paths", () => {
     }
     const fallbackChain = [
       { providers: ["anthropic"], model: "claude-opus-4-7", variant: "max" },
-      { providers: ["opencode-go"], model: "kimi-k2.5" },
+      { providers: ["opencode-go"], model: "kimi-k2.6" },
     ]
 
     //#when
@@ -282,10 +282,10 @@ describe("executeSyncTask - cleanup on error paths", () => {
 
     //#then
     expect(result).toContain("Task completed")
-    expect(result).toContain("Model: opencode-go/kimi-k2.5")
+    expect(result).toContain("Model: opencode-go/kimi-k2.6")
     expect(attemptedModels).toEqual([
       { providerID: "anthropic", modelID: "claude-opus-4-7", variant: "max" },
-      { providerID: "opencode-go", modelID: "kimi-k2.5", variant: undefined },
+      { providerID: "opencode-go", modelID: "kimi-k2.6", variant: undefined },
     ])
   })
 
@@ -339,7 +339,7 @@ describe("executeSyncTask - cleanup on error paths", () => {
     }
     const fallbackChain = [
       { providers: ["anthropic"], model: "claude-opus-4-7", variant: "max" },
-      { providers: ["opencode-go"], model: "kimi-k2.5" },
+      { providers: ["opencode-go"], model: "kimi-k2.6" },
       { providers: ["openai"], model: "gpt-5.4", variant: "medium" },
     ]
 
@@ -352,7 +352,7 @@ describe("executeSyncTask - cleanup on error paths", () => {
     expect(result).toBe("Final failure")
     expect(attemptedModels).toEqual([
       { providerID: "anthropic", modelID: "claude-opus-4-7", variant: "max" },
-      { providerID: "opencode-go", modelID: "kimi-k2.5", variant: undefined },
+      { providerID: "opencode-go", modelID: "kimi-k2.6", variant: undefined },
       { providerID: "openai", modelID: "gpt-5.4", variant: "medium" },
     ])
   })