diff --git a/packages/ui/src/v2/components/radio-v2.css b/packages/ui/src/v2/components/radio-v2.css
index 4a9bebb3a..1bf248632 100644
--- a/packages/ui/src/v2/components/radio-v2.css
+++ b/packages/ui/src/v2/components/radio-v2.css
@@ -9,7 +9,7 @@
align-items: center;
user-select: none;
color: var(--text-text-faint);
- font-family: var(--font-family-sans);
+ font-family: var(--v2-font-family-sans);
font-size: 11px;
font-style: normal;
font-weight: 440;
@@ -20,7 +20,7 @@
[data-slot="radio-v2-description"] {
color: var(--text-text-faint);
- font-family: var(--font-family-sans);
+ font-family: var(--v2-font-family-sans);
font-size: 11px;
font-weight: 440;
line-height: 1.2;
@@ -35,7 +35,7 @@
[data-slot="radio-v2-error"] {
color: var(--state-fg-danger);
- font-family: var(--font-family-sans);
+ font-family: var(--v2-font-family-sans);
font-size: 12px;
font-weight: var(--font-weight-regular);
line-height: var(--line-height-normal);
@@ -167,7 +167,7 @@
display: inline-flex;
user-select: none;
color: inherit;
- font-family: var(--font-family-sans);
+ font-family: var(--v2-font-family-sans);
font-style: normal;
font-weight: 440;
font-variant-numeric: tabular-nums;
@@ -186,7 +186,7 @@
[data-slot="radio-v2-item-description"] {
color: var(--text-text-muted);
- font-family: var(--font-family-sans);
+ font-family: var(--v2-font-family-sans);
font-size: 11px;
font-weight: 440;
line-height: 1;
diff --git a/packages/ui/src/v2/components/radio-v2.stories.tsx b/packages/ui/src/v2/components/radio-v2.stories.tsx
index 166157378..d54e39f27 100644
--- a/packages/ui/src/v2/components/radio-v2.stories.tsx
+++ b/packages/ui/src/v2/components/radio-v2.stories.tsx
@@ -50,7 +50,7 @@ export const Controlled = {
-
diff --git a/packages/ui/src/v2/components/segmented-control-v2.css b/packages/ui/src/v2/components/segmented-control-v2.css
index e6b2eeb2e..0692e184a 100644
--- a/packages/ui/src/v2/components/segmented-control-v2.css
+++ b/packages/ui/src/v2/components/segmented-control-v2.css
@@ -34,7 +34,7 @@
background: transparent;
box-shadow: none;
cursor: pointer;
- font-family: var(--font-family-sans), var(--sans);
+ font-family: var(--v2-font-family-sans), var(--sans);
font-style: normal;
font-weight: 440;
font-size: 13px;
diff --git a/packages/ui/src/v2/components/segmented-control-v2.stories.tsx b/packages/ui/src/v2/components/segmented-control-v2.stories.tsx
index 698b5e851..fbca955e8 100644
--- a/packages/ui/src/v2/components/segmented-control-v2.stories.tsx
+++ b/packages/ui/src/v2/components/segmented-control-v2.stories.tsx
@@ -56,7 +56,7 @@ export const Controlled = {
Grid
Board
-
@@ -74,7 +74,7 @@ export const AllowDeselect = {
B
C
-
+
Value: {value() === null ? "none" : value()}
diff --git a/packages/ui/src/v2/components/select-v2.css b/packages/ui/src/v2/components/select-v2.css
index 05950d164..553f8afcd 100644
--- a/packages/ui/src/v2/components/select-v2.css
+++ b/packages/ui/src/v2/components/select-v2.css
@@ -110,7 +110,7 @@
background: transparent;
outline: none;
text-align: left;
- font-family: var(--font-family-sans);
+ font-family: var(--v2-font-family-sans);
font-style: normal;
font-weight: 440;
font-size: 13px;
diff --git a/packages/ui/src/v2/components/switch-v2.css b/packages/ui/src/v2/components/switch-v2.css
index bc9494d03..1459abf62 100644
--- a/packages/ui/src/v2/components/switch-v2.css
+++ b/packages/ui/src/v2/components/switch-v2.css
@@ -65,7 +65,7 @@
height: 16px;
user-select: none;
color: var(--text-text-faint);
- font-family: var(--font-family-sans);
+ font-family: var(--v2-font-family-sans);
font-size: 11px;
font-style: normal;
font-weight: 440;
@@ -76,7 +76,7 @@
[data-slot="switch-error"] {
color: var(--state-fg-danger);
- font-family: var(--font-family-sans);
+ font-family: var(--v2-font-family-sans);
font-size: 12px;
font-weight: var(--font-weight-regular);
line-height: var(--line-height-normal);
diff --git a/packages/ui/src/v2/components/tabs-v2.css b/packages/ui/src/v2/components/tabs-v2.css
index 4309b8e46..83706aa71 100644
--- a/packages/ui/src/v2/components/tabs-v2.css
+++ b/packages/ui/src/v2/components/tabs-v2.css
@@ -9,7 +9,7 @@
height: 100%;
display: flex;
overflow: clip;
- font-family: var(--font-family-sans);
+ font-family: var(--v2-font-family-sans);
}
[data-component="tabs-v2"][data-orientation="horizontal"] {
diff --git a/packages/ui/src/v2/components/text-input-v2.css b/packages/ui/src/v2/components/text-input-v2.css
index c4307be44..287f7f70a 100644
--- a/packages/ui/src/v2/components/text-input-v2.css
+++ b/packages/ui/src/v2/components/text-input-v2.css
@@ -67,7 +67,7 @@
border: 0;
background: transparent;
outline: none;
- font-family: var(--font-family-sans);
+ font-family: var(--v2-font-family-sans);
font-style: normal;
font-weight: 440;
font-size: 13px;
diff --git a/packages/ui/src/v2/components/text-input-v2.stories.tsx b/packages/ui/src/v2/components/text-input-v2.stories.tsx
index 5fb17f661..5e218bb82 100644
--- a/packages/ui/src/v2/components/text-input-v2.stories.tsx
+++ b/packages/ui/src/v2/components/text-input-v2.stories.tsx
@@ -85,7 +85,7 @@ export const Controlled = {
setValue(e.currentTarget.value)} placeholder="Type here…" />
setValue(e.currentTarget.value)} placeholder="Type here…" />
console**.
@@ -137,6 +140,7 @@ OpenCode Go هو اشتراك منخفض التكلفة — **$5 للشهر ال
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
+| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
diff --git a/packages/web/src/content/docs/ar/lsp.mdx b/packages/web/src/content/docs/ar/lsp.mdx
index fd1b45534..8b2c721df 100644
--- a/packages/web/src/content/docs/ar/lsp.mdx
+++ b/packages/web/src/content/docs/ar/lsp.mdx
@@ -3,7 +3,7 @@ title: خوادم LSP
description: يتكامل OpenCode مع خوادم LSP لديك.
---
-يتكامل OpenCode مع بروتوكول خادم اللغة (LSP) لمساعدة LLM على التفاعل مع قاعدة الشيفرة لديك. ويستخدم التشخيصات لتزويد LLM بتغذية راجعة.
+يمكن أن يتكامل OpenCode مع خوادم Language Server Protocol (LSP) لاستخدام التشخيصات كملاحظات للوكيل.
---
@@ -46,7 +46,7 @@ description: يتكامل OpenCode مع خوادم LSP لديك.
| yaml-ls | .yaml, .yml | يثبت `yaml-language-server` من Red Hat تلقائيا |
| zls | .zig, .zon | توفر أمر `zig` |
-تُفعَّل خوادم LSP تلقائيا عند اكتشاف أحد امتدادات الملفات المذكورة أعلاه واستيفاء المتطلبات.
+تكون ميزة LSP معطلة افتراضيا. عند تفعيلها، تبدأ الخوادم عند اكتشاف أحد امتدادات الملفات المذكورة أعلاه واستيفاء المتطلبات.
:::note
يمكنك تعطيل تنزيلات خوادم LSP التلقائية عبر ضبط متغير البيئة `OPENCODE_DISABLE_LSP_DOWNLOAD` على `true`.
@@ -56,16 +56,35 @@ description: يتكامل OpenCode مع خوادم LSP لديك.
## كيف يعمل
-عندما يفتح opencode ملفا، فإنه:
+عند تفعيل LSP وفتح opencode لملف، فإنه:
1. يفحص امتداد الملف مقابل جميع خوادم LSP المفعّلة.
2. يشغّل خادم LSP المناسب إذا لم يكن قيد التشغيل بالفعل.
---
+## أفضل الممارسات
+
+يمكن أن تساعد LSP الوكيل على العثور على المشاكل وإصلاحها عبر توفير التشخيصات من خوادم اللغة. هذا مفيد في بعض المشاريع، لكنه ليس دائما مكسبا صافيا.
+
+قد تخرج خوادم اللغة عن المزامنة، وتستهلك ذاكرة كبيرة، وتختلف حسب الإصدار أو المشروع، وتبطئ سير عمل الوكيل. في كثير من المشاريع، يكون من الأفضل أن يشغّل الوكيل lint أو typecheck أو أدوات CLI التشخيصية الأخرى مباشرة، بحيث تعود الأخطاء إلى حلقة الوكيل دون هذه المفاضلات. وثّق هذه الأوامر في ملفات التعليمات مثل `AGENTS.md` أو المهارات حتى يعرف الوكيل ما يجب تشغيله. فعّل LSP عندما يستفيد مشروعك من ملاحظات إضافية من خادم اللغة.
+
+---
+
## الإعداد
-يمكنك تخصيص خوادم LSP عبر قسم `lsp` في إعدادات opencode.
+يمكنك تفعيل خوادم LSP وتخصيصها عبر قسم `lsp` في إعدادات opencode.
+
+لتفعيل جميع خوادم LSP المدمجة، اضبط `lsp` على `true`.
+
+```json title="opencode.json"
+{
+ "$schema": "https://opencode.ai/config.json",
+ "lsp": true
+}
+```
+
+استخدم كائنا لإبقاء الخوادم المدمجة مفعلة أثناء إعداد التجاوزات أو الخوادم المخصصة.
```json title="opencode.json"
{
@@ -134,7 +153,7 @@ description: يتكامل OpenCode مع خوادم LSP لديك.
### تعطيل خوادم LSP
-لتعطيل **جميع** خوادم LSP على مستوى التطبيق، اضبط `lsp` على `false`:
+إذا تم حذف `lsp`، فستكون جميع خوادم LSP معطلة. لتعطيل جميع خوادم LSP بعد أن فعّلها إعداد آخر، اضبط `lsp` على `false`:
```json title="opencode.json" {3}
{
diff --git a/packages/web/src/content/docs/ar/zen.mdx b/packages/web/src/content/docs/ar/zen.mdx
index 0dd23e06b..a9c42c9eb 100644
--- a/packages/web/src/content/docs/ar/zen.mdx
+++ b/packages/web/src/content/docs/ar/zen.mdx
@@ -86,8 +86,8 @@ OpenCode Zen هي بوابة AI تتيح لك الوصول إلى هذه الن
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
-| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -95,6 +95,7 @@ OpenCode Zen هي بوابة AI تتيح لك الوصول إلى هذه الن
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
يستخدم [معرّف النموذج](/docs/config/#models) في إعدادات OpenCode الصيغة `opencode/
`. على سبيل المثال، بالنسبة إلى GPT 5.5، ستستخدم `opencode/gpt-5.5` في إعداداتك.
@@ -119,6 +120,7 @@ https://opencode.ai/zen/v1/models
| --------------------------------- | ------- | ------- | --------------- | --------------- |
| Big Pickle | Free | Free | Free | - |
| DeepSeek V4 Flash Free | Free | Free | Free | - |
+| MiMo-V2.5 Free | Free | Free | Free | - |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -126,6 +128,7 @@ https://opencode.ai/zen/v1/models
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
+| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |
@@ -172,6 +175,7 @@ https://opencode.ai/zen/v1/models
النماذج المجانية:
- DeepSeek V4 Flash Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
+- MiMo-V2.5 Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
- Nemotron 3 Super Free متاح على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
- Big Pickle نموذج خفي ومتاح مجانا على OpenCode لفترة محدودة. يستخدم الفريق هذه الفترة لجمع الملاحظات وتحسين النموذج.
@@ -223,6 +227,7 @@ https://opencode.ai/zen/v1/models
- Big Pickle: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
- DeepSeek V4 Flash Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
+- MiMo-V2.5 Free: خلال فترته المجانية، قد تُستخدم البيانات المجمعة لتحسين النموذج.
- Nemotron 3 Super Free (نقاط نهاية NVIDIA المجانية): يُقدَّم بموجب [شروط خدمة النسخة التجريبية من واجهة NVIDIA API](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). للاستخدام التجريبي فقط، وليس للإنتاج أو البيانات الحساسة. تقوم NVIDIA بتسجيل المطالبات والمخرجات لتحسين نماذجها وخدماتها. لا ترسل بيانات شخصية أو سرية.
- OpenAI APIs: يتم الاحتفاظ بالطلبات لمدة 30 يوما وفقا لـ [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
- Anthropic APIs: يتم الاحتفاظ بالطلبات لمدة 30 يوما وفقا لـ [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
diff --git a/packages/web/src/content/docs/bs/go.mdx b/packages/web/src/content/docs/bs/go.mdx
index a17d89cbb..afeeaf293 100644
--- a/packages/web/src/content/docs/bs/go.mdx
+++ b/packages/web/src/content/docs/bs/go.mdx
@@ -66,9 +66,10 @@ Trenutna lista modela uključuje:
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
+- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
-- **MiniMax M2.7**
+- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -88,20 +89,21 @@ Ograničenja su definisana u dolarskoj vrijednosti. To znači da vaš stvarni br
Tabela ispod pruža procijenjeni broj zahtjeva na osnovu tipičnih obrazaca korištenja Go pretplate:
-| Model | zahtjeva na 5 sati | zahtjeva sedmično | zahtjeva mjesečno |
-| ------------------ | ------------------ | ----------------- | ----------------- |
-| GLM-5.1 | 880 | 2,150 | 4,300 |
-| GLM-5 | 1,150 | 2,880 | 5,750 |
-| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
-| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
-| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
-| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
-| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
-| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
-| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
-| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
-| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
-| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
+| Model | zahtjeva na 5 sati | zahtjeva sedmično | zahtjeva mjesečno |
+| ----------------- | ------------------ | ----------------- | ----------------- |
+| GLM-5.1 | 880 | 2,150 | 4,300 |
+| GLM-5 | 1,150 | 2,880 | 5,750 |
+| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
+| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
+| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
+| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
+| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
+| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
+| Qwen3.7 Max | 950 | 2,390 | 4,770 |
+| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
+| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
+| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
+| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
Procjene se zasnivaju na zapaženim prosječnim obrascima zahtjeva:
@@ -110,10 +112,11 @@ Procjene se zasnivaju na zapaženim prosječnim obrascima zahtjeva:
- DeepSeek V4 Pro — 750 ulaznih, 82,000 keširanih, 290 izlaznih tokena po zahtjevu
- DeepSeek V4 Flash — 790 ulaznih, 68,000 keširanih, 280 izlaznih tokena po zahtjevu
- MiniMax M2.7/M2.5 — 300 ulaznih, 55,000 keširanih, 125 izlaznih tokena po zahtjevu
-- Qwen3.5 Plus — 410 ulaznih, 47,000 keširanih, 140 izlaznih tokena po zahtjevu
+- Qwen3.7 Max — 420 ulaznih, 66,000 keširanih, 200 izlaznih tokena po zahtjevu
- Qwen3.6 Plus — 500 ulaznih, 57,000 keširanih, 190 izlaznih tokena po zahtjevu
-- MiMo-V2.5 — 1000 ulaznih, 60,000 keširanih, 140 izlaznih tokena po zahtjevu
-- MiMo-V2.5-Pro — 350 ulaznih, 41,000 keširanih, 250 izlaznih tokena po zahtjevu
+- Qwen3.5 Plus — 410 ulaznih, 47,000 keširanih, 140 izlaznih tokena po zahtjevu
+- MiMo-V2.5 — 830 ulaznih, 71,500 keširanih, 295 izlaznih tokena po zahtjevu
+- MiMo-V2.5-Pro — 790 ulaznih, 86,000 keširanih, 305 izlaznih tokena po zahtjevu
Svoju trenutnu potrošnju možete pratiti u **konzoli**.
@@ -149,6 +152,7 @@ Također možete pristupiti Go modelima putem sljedećih API endpointa.
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
+| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
diff --git a/packages/web/src/content/docs/bs/lsp.mdx b/packages/web/src/content/docs/bs/lsp.mdx
index 8f52f3bf6..a30d589f9 100644
--- a/packages/web/src/content/docs/bs/lsp.mdx
+++ b/packages/web/src/content/docs/bs/lsp.mdx
@@ -3,7 +3,7 @@ title: LSP serveri
description: OpenCode se integriše sa vašim LSP serverima.
---
-OpenCode se integriše sa vašim Language Server Protocol (LSP) serverima kako bi pomogao LLM-u u interakciji s kodnom bazom. Koristi dijagnostiku za slanje povratnih informacija modelu.
+OpenCode se može integrisati sa Language Server Protocol (LSP) serverima kako bi koristio dijagnostiku kao feedback za agenta.
## Ugrađeni
@@ -45,7 +45,7 @@ OpenCode dolazi sa nekoliko ugrađenih LSP servera za popularne jezike:
| yaml-ls | .yaml, .yml | Automatski instalira Red Hat yaml-language-server |
| zls | .zig, .zon | `zig` komanda dostupna |
-LSP serveri su automatski omogućeni kada se otkrije jedna od gore navedenih ekstenzija datoteke i zahtjevi su ispunjeni.
+LSP je podrazumijevano isključen. Kada je omogućen, serveri se pokreću kada se otkrije jedna od gore navedenih ekstenzija datoteke i zahtjevi su ispunjeni.
:::note
Možete onemogućiti automatska preuzimanja LSP servera tako što ćete postaviti varijablu okruženja `OPENCODE_DISABLE_LSP_DOWNLOAD` na `true`.
:::
@@ -54,16 +54,35 @@ Možete onemogućiti automatska preuzimanja LSP servera tako što ćete postavit
## Kako radi
-Kada opencode otvori fajl, on:
+Kada je LSP omogućen i opencode otvori fajl, on:
1. Provjerava ekstenziju datoteke u odnosu na sve omogućene LSP servere.
2. Pokreće odgovarajući LSP server ako već nije pokrenut.
---
+## Najbolje prakse
+
+LSP može pomoći agentu da pronađe i popravi probleme pružanjem dijagnostike iz jezičkih servera. Ovo je korisno u nekim projektima, ali nije uvijek neto pozitivno.
+
+Jezički serveri mogu ispasti iz sinhronizacije, koristiti mnogo memorije, razlikovati se po verziji ili projektu i usporiti agent workflow. U mnogim projektima je bolje da agent direktno pokreće lint, typecheck ili druge dijagnostičke CLI alate, tako da se greške vraćaju u agent loop bez tih kompromisa. Dokumentujte te komande u instrukcijskim fajlovima kao što su `AGENTS.md` ili skills, kako bi agent znao šta treba pokrenuti. Uključite LSP kada vaš projekt ima koristi od dodatnog feedbacka jezičkog servera.
+
+---
+
## Konfiguracija
-Možete prilagoditi LSP servere kroz `lsp` odjeljak u vašoj opencode konfiguraciji.
+Možete omogućiti i prilagoditi LSP servere kroz `lsp` odjeljak u vašoj opencode konfiguraciji.
+
+Da biste omogućili sve ugrađene LSP servere, postavite `lsp` na `true`.
+
+```json title="opencode.json"
+{
+ "$schema": "https://opencode.ai/config.json",
+ "lsp": true
+}
+```
+
+Koristite objekt da zadržite ugrađene servere omogućene dok konfigurirate izmjene ili prilagođene servere.
```json title="opencode.json"
{
@@ -132,7 +151,7 @@ Opcije inicijalizacije razlikuju se od LSP servera. Provjerite dokumentaciju va
### Onemogućavanje LSP servera
-Da biste onemogućili **sve** LSP servere globalno, postavite `lsp` na `false`:
+Ako je `lsp` izostavljen, svi LSP serveri su onemogućeni. Da biste onemogućili sve LSP servere nakon što ih je druga konfiguracija omogućila, postavite `lsp` na `false`:
```json title="opencode.json" {3}
{
diff --git a/packages/web/src/content/docs/bs/zen.mdx b/packages/web/src/content/docs/bs/zen.mdx
index 91c08d1e1..85b44e5ea 100644
--- a/packages/web/src/content/docs/bs/zen.mdx
+++ b/packages/web/src/content/docs/bs/zen.mdx
@@ -91,8 +91,8 @@ Našim modelima možete pristupiti i preko sljedećih API endpointa.
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
-| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -100,6 +100,7 @@ Našim modelima možete pristupiti i preko sljedećih API endpointa.
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[model id](/docs/config/#models) u vašoj OpenCode konfiguraciji koristi format
@@ -126,6 +127,7 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
| --------------------------------- | ------ | ------- | ----------- | ------------ |
| Big Pickle | Free | Free | Free | - |
| DeepSeek V4 Flash Free | Free | Free | Free | - |
+| MiMo-V2.5 Free | Free | Free | Free | - |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -133,6 +135,7 @@ Podržavamo pay-as-you-go model. Ispod su cijene **po 1M tokena**.
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
+| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |
@@ -179,6 +182,7 @@ Naknade za kreditne kartice prosljeđujemo po stvarnom trošku (4.4% + $0.30 po
Besplatni modeli:
- DeepSeek V4 Flash Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
+- MiMo-V2.5 Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
- Nemotron 3 Super Free je dostupan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
- Big Pickle je stealth model koji je besplatan na OpenCode ograničeno vrijeme. Tim koristi ovo vrijeme da prikupi povratne informacije i poboljša model.
@@ -235,6 +239,7 @@ i ne koriste vaše podatke za treniranje modela, uz sljedeće izuzetke:
- Big Pickle: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
- DeepSeek V4 Flash Free: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
+- MiMo-V2.5 Free: Tokom besplatnog perioda, prikupljeni podaci mogu se koristiti za poboljšanje modela.
- Nemotron 3 Super Free (besplatni NVIDIA endpointi): Dostupan je prema [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Samo za probnu upotrebu, nije za produkciju niti osjetljive podatke. NVIDIA bilježi promptove i izlaze radi poboljšanja svojih modela i usluga. Nemojte slati lične ili povjerljive podatke.
- OpenAI APIs: Requests are retained for 30 days in accordance with [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
- Anthropic APIs: Requests are retained for 30 days in accordance with [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
diff --git a/packages/web/src/content/docs/custom-tools.mdx b/packages/web/src/content/docs/custom-tools.mdx
index 4586343f0..d89922b1f 100644
--- a/packages/web/src/content/docs/custom-tools.mdx
+++ b/packages/web/src/content/docs/custom-tools.mdx
@@ -59,7 +59,7 @@ export const add = tool({
b: tool.schema.number().describe("Second number"),
},
async execute(args) {
- return args.a + args.b
+ return (args.a + args.b).toString()
},
})
@@ -70,7 +70,7 @@ export const multiply = tool({
b: tool.schema.number().describe("Second number"),
},
async execute(args) {
- return args.a * args.b
+ return (args.a * args.b).toString()
},
})
```
diff --git a/packages/web/src/content/docs/da/go.mdx b/packages/web/src/content/docs/da/go.mdx
index 912ae22e0..d8fa16181 100644
--- a/packages/web/src/content/docs/da/go.mdx
+++ b/packages/web/src/content/docs/da/go.mdx
@@ -66,9 +66,10 @@ Den nuværende liste over modeller inkluderer:
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
+- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
-- **MiniMax M2.7**
+- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -88,20 +89,21 @@ Grænserne er defineret i dollarværdi. Det betyder, at dit faktiske antal anmod
Tabellen nedenfor giver et estimeret antal anmodninger baseret på typiske Go-forbrugsmønstre:
-| Model | anmodninger pr. 5 timer | anmodninger pr. uge | anmodninger pr. måned |
-| ------------------ | ----------------------- | ------------------- | --------------------- |
-| GLM-5.1 | 880 | 2,150 | 4,300 |
-| GLM-5 | 1,150 | 2,880 | 5,750 |
-| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
-| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
-| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
-| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
-| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
-| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
-| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
-| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
-| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
-| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
+| Model | anmodninger pr. 5 timer | anmodninger pr. uge | anmodninger pr. måned |
+| ----------------- | ----------------------- | ------------------- | --------------------- |
+| GLM-5.1 | 880 | 2,150 | 4,300 |
+| GLM-5 | 1,150 | 2,880 | 5,750 |
+| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
+| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
+| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
+| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
+| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
+| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
+| Qwen3.7 Max | 950 | 2,390 | 4,770 |
+| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
+| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
+| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
+| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
Estimaterne er baseret på observerede gennemsnitlige anmodningsmønstre:
@@ -110,10 +112,11 @@ Estimaterne er baseret på observerede gennemsnitlige anmodningsmønstre:
- DeepSeek V4 Pro — 750 input, 82.000 cachelagrede, 290 output-tokens pr. anmodning
- DeepSeek V4 Flash — 790 input, 68.000 cachelagrede, 280 output-tokens pr. anmodning
- MiniMax M2.7/M2.5 — 300 input, 55.000 cachelagrede, 125 output-tokens pr. anmodning
-- Qwen3.5 Plus — 410 input, 47.000 cachelagrede, 140 output-tokens pr. anmodning
+- Qwen3.7 Max — 420 input, 66.000 cachelagrede, 200 output-tokens pr. anmodning
- Qwen3.6 Plus — 500 input, 57.000 cachelagrede, 190 output-tokens pr. anmodning
-- MiMo-V2.5 — 1000 input, 60.000 cachelagrede, 140 output-tokens pr. anmodning
-- MiMo-V2.5-Pro — 350 input, 41.000 cachelagrede, 250 output-tokens pr. anmodning
+- Qwen3.5 Plus — 410 input, 47.000 cachelagrede, 140 output-tokens pr. anmodning
+- MiMo-V2.5 — 830 input, 71.500 cachelagrede, 295 output-tokens pr. anmodning
+- MiMo-V2.5-Pro — 790 input, 86.000 cachelagrede, 305 output-tokens pr. anmodning
Du kan spore dit nuværende forbrug i **konsollen**.
@@ -149,6 +152,7 @@ Du kan også få adgang til Go-modeller gennem følgende API-endpoints.
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
+| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
diff --git a/packages/web/src/content/docs/da/lsp.mdx b/packages/web/src/content/docs/da/lsp.mdx
index 27d43b192..0b6ea0fee 100644
--- a/packages/web/src/content/docs/da/lsp.mdx
+++ b/packages/web/src/content/docs/da/lsp.mdx
@@ -3,7 +3,7 @@ title: LSP-servere
description: OpenCode integreres med dine LSP-servere.
---
-OpenCode integreres med Language Server Protocol (LSP) for at hjælpe LLM med at interagere med din kodebase. Den bruger diagnostik til at give feedback til LLM.
+OpenCode kan integreres med Language Server Protocol (LSP)-servere for at bruge diagnostik som feedback til agenten.
---
@@ -47,7 +47,7 @@ OpenCode leveres med flere indbyggede LSP-servere til populære sprog:
| yaml-ls | .yaml,.yml | Autoinstallerer Red Hat yaml-language-server |
| zls | .zig,.zon | `zig` kommando tilgængelig |
-LSP-servere aktiveres automatisk, når en af ovenstående filtypenavne opdages, og kravene er opfyldt.
+LSP er deaktiveret som standard. Når det er aktiveret, starter servere, når en af ovenstående filtypenavne opdages, og kravene er opfyldt.
:::note
Du kan deaktivere automatisk LSP-serverdownloads ved at indstille miljøvariablen `OPENCODE_DISABLE_LSP_DOWNLOAD` til `true`.
@@ -57,16 +57,35 @@ Du kan deaktivere automatisk LSP-serverdownloads ved at indstille miljøvariable
## Sådan fungerer det
-Når opencode åbner en fil, vil den:
+Når LSP er aktiveret, og opencode åbner en fil, vil den:
1. Kontrollerer filtypenavnet mod alle aktiverede LSP-servere.
2. Starter den relevante LSP-server, hvis den ikke allerede kører.
---
+## Bedste praksis
+
+LSP kan hjælpe agenten med at finde og rette problemer ved at levere diagnostik fra sprogservere. Det er nyttigt i nogle projekter, men er ikke altid en klar fordel.
+
+Sprogservere kan komme ud af sync, bruge meget hukommelse, variere efter version eller projekt og gøre agentarbejdsgange langsommere. I mange projekter er det bedre, at agenten kører lint, typecheck eller andre diagnostiske CLI-værktøjer direkte, så fejl føres tilbage i agentens loop uden disse afvejninger. Dokumentér disse kommandoer i instruktionsfiler som `AGENTS.md` eller skills, så agenten ved, hvad den skal køre. Aktivér LSP, når dit projekt har gavn af ekstra sprogserverfeedback.
+
+---
+
## Konfiguration
-Du kan tilpasse LSP-servere gennem sektionen `lsp` i din opencode-konfiguration.
+Du kan aktivere og tilpasse LSP-servere gennem sektionen `lsp` i din opencode-konfiguration.
+
+For at aktivere alle indbyggede LSP-servere skal du indstille `lsp` til `true`.
+
+```json title="opencode.json"
+{
+ "$schema": "https://opencode.ai/config.json",
+ "lsp": true
+}
+```
+
+Brug et objekt til at holde indbyggede servere aktiveret, mens du konfigurerer tilsidesættelser eller brugerdefinerede servere.
```json title="opencode.json"
{
@@ -135,7 +154,7 @@ Initialiseringsmuligheder forskellige afhængige af LSP-serveren. Se din LSP-ser
### Deaktivering af LSP-servere
-For at deaktivere **alle** LSP-servere globalt, skal du indstille `lsp` til `false`:
+Hvis `lsp` udelades, er alle LSP-servere deaktiveret. For at deaktivere alle LSP-servere efter at en anden konfiguration har aktiveret dem, skal du indstille `lsp` til `false`:
```json title="opencode.json" {3}
{
diff --git a/packages/web/src/content/docs/da/zen.mdx b/packages/web/src/content/docs/da/zen.mdx
index 54c09cbbd..f129ce80b 100644
--- a/packages/web/src/content/docs/da/zen.mdx
+++ b/packages/web/src/content/docs/da/zen.mdx
@@ -91,8 +91,8 @@ Du kan også få adgang til vores modeller gennem følgende API-endpoints.
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
-| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -100,6 +100,7 @@ Du kan også få adgang til vores modeller gennem følgende API-endpoints.
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[model id](/docs/config/#models) i din OpenCode-konfiguration
@@ -126,6 +127,7 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
| --------------------------------- | ------ | ------- | ----------- | ------------ |
| Big Pickle | Free | Free | Free | - |
| DeepSeek V4 Flash Free | Free | Free | Free | - |
+| MiMo-V2.5 Free | Free | Free | Free | - |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -133,6 +135,7 @@ Vi understøtter en pay-as-you-go-model. Nedenfor er priserne **pr. 1M tokens**.
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
+| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |
@@ -179,6 +182,7 @@ Kreditkortgebyrer videregives til kostpris (4.4% + $0.30 pr. transaktion); vi op
De gratis modeller:
- DeepSeek V4 Flash Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
+- MiMo-V2.5 Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
- Nemotron 3 Super Free er tilgængelig på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
- Big Pickle er en stealth-model, som er gratis på OpenCode i en begrænset periode. Teamet bruger denne tid til at indsamle feedback og forbedre modellen.
@@ -233,6 +237,7 @@ Alle vores modeller hostes i US. Vores udbydere følger en nul-opbevaringspoliti
- Big Pickle: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
- DeepSeek V4 Flash Free: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
+- MiMo-V2.5 Free: I den gratis periode kan indsamlede data blive brugt til at forbedre modellen.
- Nemotron 3 Super Free (gratis NVIDIA-endpoints): Leveres under [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Kun til prøvebrug, ikke til produktion eller følsomme data. Prompts og outputs logges af NVIDIA for at forbedre deres modeller og tjenester. Indsend ikke personlige eller fortrolige data.
- OpenAI APIs: Anmodninger opbevares i 30 dage i overensstemmelse med [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
- Anthropic APIs: Anmodninger opbevares i 30 dage i overensstemmelse med [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
diff --git a/packages/web/src/content/docs/de/go.mdx b/packages/web/src/content/docs/de/go.mdx
index 093ef91da..07e06d448 100644
--- a/packages/web/src/content/docs/de/go.mdx
+++ b/packages/web/src/content/docs/de/go.mdx
@@ -58,9 +58,10 @@ Die aktuelle Liste der Modelle umfasst:
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
+- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
-- **MiniMax M2.7**
+- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -80,20 +81,21 @@ Limits sind in Dollarwerten definiert. Das bedeutet, dass die tatsächliche Anza
Die folgende Tabelle zeigt eine geschätzte Anzahl von Anfragen basierend auf typischen Go-Nutzungsmustern:
-| Model | Anfragen pro 5 Stunden | Anfragen pro Woche | Anfragen pro Monat |
-| ------------------ | ---------------------- | ------------------ | ------------------ |
-| GLM-5.1 | 880 | 2,150 | 4,300 |
-| GLM-5 | 1,150 | 2,880 | 5,750 |
-| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
-| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
-| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
-| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
-| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
-| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
-| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
-| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
-| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
-| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
+| Model | Anfragen pro 5 Stunden | Anfragen pro Woche | Anfragen pro Monat |
+| ----------------- | ---------------------- | ------------------ | ------------------ |
+| GLM-5.1 | 880 | 2,150 | 4,300 |
+| GLM-5 | 1,150 | 2,880 | 5,750 |
+| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
+| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
+| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
+| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
+| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
+| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
+| Qwen3.7 Max | 950 | 2,390 | 4,770 |
+| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
+| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
+| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
+| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
Die Schätzungen basieren auf beobachteten durchschnittlichen Anfragemustern:
@@ -102,10 +104,11 @@ Die Schätzungen basieren auf beobachteten durchschnittlichen Anfragemustern:
- DeepSeek V4 Pro — 750 Input-, 82.000 Cached-, 290 Output-Tokens pro Anfrage
- DeepSeek V4 Flash — 790 Input-, 68.000 Cached-, 280 Output-Tokens pro Anfrage
- MiniMax M2.7/M2.5 — 300 Input-, 55.000 Cached-, 125 Output-Tokens pro Anfrage
-- Qwen3.5 Plus — 410 Input-, 47.000 Cached-, 140 Output-Tokens pro Anfrage
+- Qwen3.7 Max — 420 Input-, 66.000 Cached-, 200 Output-Tokens pro Anfrage
- Qwen3.6 Plus — 500 Input-, 57.000 Cached-, 190 Output-Tokens pro Anfrage
-- MiMo-V2.5 — 1.000 Input-, 60.000 Cached-, 140 Output-Tokens pro Anfrage
-- MiMo-V2.5-Pro — 350 Input-, 41.000 Cached-, 250 Output-Tokens pro Anfrage
+- Qwen3.5 Plus — 410 Input-, 47.000 Cached-, 140 Output-Tokens pro Anfrage
+- MiMo-V2.5 — 830 Input-, 71.500 Cached-, 295 Output-Tokens pro Anfrage
+- MiMo-V2.5-Pro — 790 Input-, 86.000 Cached-, 305 Output-Tokens pro Anfrage
Du kannst deine aktuelle Nutzung in der **Console** verfolgen.
@@ -139,6 +142,7 @@ Du kannst auf die Go-Modelle auch über die folgenden API-Endpunkte zugreifen.
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
+| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
diff --git a/packages/web/src/content/docs/de/lsp.mdx b/packages/web/src/content/docs/de/lsp.mdx
index 60f8316c6..7ecd16d90 100644
--- a/packages/web/src/content/docs/de/lsp.mdx
+++ b/packages/web/src/content/docs/de/lsp.mdx
@@ -3,7 +3,7 @@ title: LSP Server
description: OpenCode lässt sich in Ihren LSP-Server integrieren.
---
-OpenCode lässt sich in Ihr Language Server Protocol (LSP) integrieren, um die Interaktion von LLM mit Ihrer Codebasis zu unterstützen. Es verwendet Diagnosefunktionen, um dem LLM Feedback zu geben.
+OpenCode kann sich in Language Server Protocol (LSP)-Server integrieren, um Diagnosen als Feedback für den Agenten zu verwenden.
---
@@ -46,7 +46,7 @@ OpenCode verfügt über mehrere integrierte LSP-Server für gängige Sprachen:
| yaml-ls | .yaml, .yml | Installiert den Red Hat yaml-language-server automatisch |
| zls | .zig, .zon | `zig`-Befehl verfügbar |
-LSP-Server werden automatisch aktiviert, wenn eine der oben genannten Dateierweiterungen erkannt wird und die Anforderungen erfüllt sind.
+LSP ist standardmäßig deaktiviert. Wenn es aktiviert ist, starten Server, sobald eine der oben genannten Dateierweiterungen erkannt wird und die Anforderungen erfüllt sind.
:::note
Sie können LSP-Server-Downloads automatisch deaktivieren, indem Sie die Umgebungsvariable `OPENCODE_DISABLE_LSP_DOWNLOAD` auf `true` setzen.
@@ -56,16 +56,35 @@ Sie können LSP-Server-Downloads automatisch deaktivieren, indem Sie die Umgebun
## Funktionsweise
-Wenn OpenCode eine Datei öffnet, geschieht Folgendes:
+Wenn LSP aktiviert ist und OpenCode eine Datei öffnet, geschieht Folgendes:
1. Überprüft die Dateierweiterung anhand aller aktivierten LSP-Server.
2. Startet den entsprechenden LSP-Server, falls er noch nicht ausgeführt wird.
---
+## Bewährte Praktiken
+
+LSP kann dem Agenten helfen, Probleme zu finden und zu beheben, indem es Diagnosen von Sprachservern bereitstellt. Das ist in einigen Projekten nützlich, aber nicht immer ein klarer Vorteil.
+
+Sprachserver können aus dem Sync geraten, viel Speicher verwenden, je nach Version oder Projekt unterschiedlich arbeiten und Agent-Workflows verlangsamen. In vielen Projekten ist es besser, wenn der Agent lint, typecheck oder andere diagnostische CLI-Tools direkt ausführt, damit Fehler in die Agent-Schleife zurückfließen, ohne diese Kompromisse einzugehen. Dokumentieren Sie diese Befehle in Instruktionsdateien wie `AGENTS.md` oder Skills, damit der Agent weiß, was er ausführen soll. Aktivieren Sie LSP, wenn Ihr Projekt von zusätzlichem Sprachserver-Feedback profitiert.
+
+---
+
## Konfiguration
-Sie können LSP-Server über den Abschnitt `lsp` in Ihrer OpenCode-Konfiguration anpassen.
+Sie können LSP-Server über den Abschnitt `lsp` in Ihrer OpenCode-Konfiguration aktivieren und anpassen.
+
+Um alle integrierten LSP-Server zu aktivieren, setzen Sie `lsp` auf `true`.
+
+```json title="opencode.json"
+{
+ "$schema": "https://opencode.ai/config.json",
+ "lsp": true
+}
+```
+
+Verwenden Sie ein Objekt, um integrierte Server aktiviert zu lassen und gleichzeitig Überschreibungen oder benutzerdefinierte Server zu konfigurieren.
```json title="opencode.json"
{
@@ -134,7 +153,7 @@ Die Initialisierungsoptionen variieren je nach LSP-Server. Überprüfen Sie die
### Deaktivieren von LSP-Servern
-Um **alle** LSP-Server global zu deaktivieren, setzen Sie `lsp` auf `false`:
+Wenn `lsp` ausgelassen wird, sind alle LSP-Server deaktiviert. Um alle LSP-Server zu deaktivieren, nachdem sie durch eine andere Konfiguration aktiviert wurden, setzen Sie `lsp` auf `false`:
```json title="opencode.json" {3}
{
diff --git a/packages/web/src/content/docs/de/zen.mdx b/packages/web/src/content/docs/de/zen.mdx
index 22129e56f..56c5ab1f4 100644
--- a/packages/web/src/content/docs/de/zen.mdx
+++ b/packages/web/src/content/docs/de/zen.mdx
@@ -82,8 +82,8 @@ Du kannst auch über die folgenden API-Endpunkte auf unsere Modelle zugreifen.
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
-| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -91,6 +91,7 @@ Du kannst auch über die folgenden API-Endpunkte auf unsere Modelle zugreifen.
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
Die [Model-ID](/docs/config/#models) in deiner OpenCode-Konfiguration verwendet das Format `opencode/`. Für GPT 5.5 würdest du zum Beispiel `opencode/gpt-5.5` in deiner Konfiguration verwenden.
@@ -115,6 +116,7 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
| --------------------------------- | ------ | ------- | ----------- | ------------ |
| Big Pickle | Free | Free | Free | - |
| DeepSeek V4 Flash Free | Free | Free | Free | - |
+| MiMo-V2.5 Free | Free | Free | Free | - |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -122,6 +124,7 @@ Wir unterstützen ein Pay-as-you-go-Modell. Unten findest du die Preise **pro 1M
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
+| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |
@@ -168,6 +171,7 @@ Kreditkartengebühren werden zum Selbstkostenpreis weitergegeben (4.4% + $0.30 p
Die kostenlosen Modelle:
- DeepSeek V4 Flash Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
+- MiMo-V2.5 Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
- Nemotron 3 Super Free ist für begrenzte Zeit auf OpenCode verfügbar. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
- Big Pickle ist ein Stealth-Modell, das für begrenzte Zeit kostenlos auf OpenCode verfügbar ist. Das Team nutzt diese Zeit, um Feedback zu sammeln und das Modell zu verbessern.
@@ -219,6 +223,7 @@ Alle unsere Modelle werden in den USA gehostet. Unsere Provider folgen einer Zer
- Big Pickle: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
- DeepSeek V4 Flash Free: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
+- MiMo-V2.5 Free: Während des kostenlosen Zeitraums können gesammelte Daten zur Verbesserung des Modells verwendet werden.
- Nemotron 3 Super Free (kostenlose NVIDIA-Endpunkte): Bereitgestellt gemäß den [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Nur für Testzwecke, nicht für Produktion oder sensible Daten. Eingaben und Ausgaben werden von NVIDIA protokolliert, um seine Modelle und Dienste zu verbessern. Übermitteln Sie keine personenbezogenen oder vertraulichen Daten.
- OpenAI APIs: Anfragen werden in Übereinstimmung mit [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data) 30 Tage lang gespeichert.
- Anthropic APIs: Anfragen werden in Übereinstimmung mit [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage) 30 Tage lang gespeichert.
diff --git a/packages/web/src/content/docs/es/go.mdx b/packages/web/src/content/docs/es/go.mdx
index 37697b2ca..b419f0d09 100644
--- a/packages/web/src/content/docs/es/go.mdx
+++ b/packages/web/src/content/docs/es/go.mdx
@@ -66,9 +66,10 @@ La lista actual de modelos incluye:
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
+- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
-- **MiniMax M2.7**
+- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -88,20 +89,21 @@ Los límites se definen en valor en dólares. Esto significa que tu cantidad rea
La siguiente tabla proporciona una cantidad estimada de peticiones basada en los patrones típicos de uso de Go:
-| Model | peticiones por 5 horas | peticiones por semana | peticiones por mes |
-| ------------------ | ---------------------- | --------------------- | ------------------ |
-| GLM-5.1 | 880 | 2,150 | 4,300 |
-| GLM-5 | 1,150 | 2,880 | 5,750 |
-| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
-| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
-| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
-| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
-| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
-| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
-| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
-| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
-| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
-| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
+| Model | peticiones por 5 horas | peticiones por semana | peticiones por mes |
+| ----------------- | ---------------------- | --------------------- | ------------------ |
+| GLM-5.1 | 880 | 2,150 | 4,300 |
+| GLM-5 | 1,150 | 2,880 | 5,750 |
+| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
+| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
+| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
+| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
+| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
+| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
+| Qwen3.7 Max | 950 | 2,390 | 4,770 |
+| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
+| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
+| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
+| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
Las estimaciones se basan en los patrones de peticiones promedio observados:
@@ -110,10 +112,11 @@ Las estimaciones se basan en los patrones de peticiones promedio observados:
- DeepSeek V4 Pro — 750 tokens de entrada, 82,000 en caché, 290 tokens de salida por petición
- DeepSeek V4 Flash — 790 tokens de entrada, 68,000 en caché, 280 tokens de salida por petición
- MiniMax M2.7/M2.5 — 300 tokens de entrada, 55,000 en caché, 125 tokens de salida por petición
-- Qwen3.5 Plus — 410 tokens de entrada, 47,000 en caché, 140 tokens de salida por petición
+- Qwen3.7 Max — 420 tokens de entrada, 66,000 en caché, 200 tokens de salida por petición
- Qwen3.6 Plus — 500 tokens de entrada, 57,000 en caché, 190 tokens de salida por petición
-- MiMo-V2.5 — 1000 tokens de entrada, 60,000 en caché, 140 tokens de salida por petición
-- MiMo-V2.5-Pro — 350 tokens de entrada, 41,000 en caché, 250 tokens de salida por petición
+- Qwen3.5 Plus — 410 tokens de entrada, 47,000 en caché, 140 tokens de salida por petición
+- MiMo-V2.5 — 830 tokens de entrada, 71,500 en caché, 295 tokens de salida por petición
+- MiMo-V2.5-Pro — 790 tokens de entrada, 86,000 en caché, 305 tokens de salida por petición
Puedes realizar un seguimiento de tu uso actual en la **consola**.
@@ -149,6 +152,7 @@ También puedes acceder a los modelos de Go a través de los siguientes endpoint
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
+| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
diff --git a/packages/web/src/content/docs/es/lsp.mdx b/packages/web/src/content/docs/es/lsp.mdx
index 27eab4cad..726d72058 100644
--- a/packages/web/src/content/docs/es/lsp.mdx
+++ b/packages/web/src/content/docs/es/lsp.mdx
@@ -3,7 +3,7 @@ title: Servidores LSP
description: OpenCode se integra con sus servidores LSP.
---
-OpenCode se integra con su protocolo de servidor de idiomas (LSP) para ayudar a LLM a interactuar con su código base. Utiliza diagnósticos para proporcionar retroalimentación al LLM.
+OpenCode puede integrarse con servidores Language Server Protocol (LSP) para usar diagnósticos como feedback para el agente.
---
@@ -47,7 +47,7 @@ OpenCode viene con varios servidores LSP integrados para idiomas populares:
| yaml-ls | .yaml, .yml | Autoinstala Red Hat yaml-language-server |
| zls | .zig, .zon | Comando `zig` disponible |
-Los servidores LSP se habilitan automáticamente cuando se detecta una de las extensiones de archivo anteriores y se cumplen los requisitos.
+LSP está deshabilitado por defecto. Cuando está habilitado, los servidores se inician cuando se detecta una de las extensiones de archivo anteriores y se cumplen los requisitos.
:::note
Puede deshabilitar las descargas automáticas del servidor LSP configurando la variable de entorno `OPENCODE_DISABLE_LSP_DOWNLOAD` en `true`.
@@ -57,16 +57,35 @@ Puede deshabilitar las descargas automáticas del servidor LSP configurando la v
## Cómo funciona
-Cuando opencode abre un archivo:
+Cuando LSP está habilitado y opencode abre un archivo:
1. Comprueba la extensión del archivo con todos los servidores LSP habilitados.
2. Inicia el servidor LSP apropiado si aún no se está ejecutando.
---
+## Buenas prácticas
+
+LSP puede ayudar al agente a encontrar y corregir problemas proporcionando diagnósticos de los servidores de lenguaje. Esto es útil en algunos proyectos, pero no siempre es una mejora neta.
+
+Los servidores de lenguaje pueden desincronizarse, usar bastante memoria, variar según la versión o el proyecto y ralentizar los flujos de trabajo del agente. En muchos proyectos es mejor hacer que el agente ejecute lint, typecheck u otras herramientas CLI de diagnóstico directamente, para que los errores vuelvan al ciclo del agente sin esas compensaciones. Documenta esos comandos en archivos de instrucciones como `AGENTS.md` o skills para que el agente sepa qué ejecutar. Habilita LSP cuando tu proyecto se beneficie de feedback adicional del servidor de lenguaje.
+
+---
+
## Configuración
-Puede personalizar los servidores LSP a través de la sección `lsp` en su configuración opencode.
+Puede habilitar y personalizar los servidores LSP a través de la sección `lsp` en su configuración opencode.
+
+Para habilitar todos los servidores LSP integrados, configure `lsp` como `true`.
+
+```json title="opencode.json"
+{
+ "$schema": "https://opencode.ai/config.json",
+ "lsp": true
+}
+```
+
+Use un objeto para mantener habilitados los servidores integrados mientras configura anulaciones o servidores personalizados.
```json title="opencode.json"
{
@@ -135,7 +154,7 @@ Las opciones de inicialización varían según el servidor LSP. Consulte la docu
### Deshabilitar servidores LSP
-Para deshabilitar **todos** los servidores LSP globalmente, configure `lsp` en `false`:
+Si se omite `lsp`, todos los servidores LSP están deshabilitados. Para deshabilitar todos los servidores LSP después de que otra configuración los haya habilitado, configure `lsp` en `false`:
```json title="opencode.json" {3}
{
diff --git a/packages/web/src/content/docs/es/zen.mdx b/packages/web/src/content/docs/es/zen.mdx
index 96c294366..0d3d0efbe 100644
--- a/packages/web/src/content/docs/es/zen.mdx
+++ b/packages/web/src/content/docs/es/zen.mdx
@@ -91,8 +91,8 @@ También puedes acceder a nuestros modelos a través de los siguientes endpoints
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
-| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -100,6 +100,7 @@ También puedes acceder a nuestros modelos a través de los siguientes endpoints
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
El [identificador del modelo](/docs/config/#models) en tu configuración de OpenCode
@@ -126,6 +127,7 @@ Admitimos un modelo de pago por uso. A continuación se muestran los precios **p
| --------------------------------- | ------- | ------- | ---------------- | ------------------ |
| Big Pickle | Free | Free | Free | - |
| DeepSeek V4 Flash Free | Free | Free | Free | - |
+| MiMo-V2.5 Free | Free | Free | Free | - |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -133,6 +135,7 @@ Admitimos un modelo de pago por uso. A continuación se muestran los precios **p
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
+| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |
@@ -179,6 +182,7 @@ Las comisiones de tarjeta de crédito se trasladan al costo (4.4% + $0.30 por tr
Los modelos gratuitos:
- DeepSeek V4 Flash Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
+- MiMo-V2.5 Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
- Nemotron 3 Super Free está disponible en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
- Big Pickle es un modelo stealth que es gratuito en OpenCode por tiempo limitado. El equipo está usando este tiempo para recopilar comentarios y mejorar el modelo.
@@ -233,6 +237,7 @@ Todos nuestros modelos están alojados en US. Nuestros proveedores siguen una po
- Big Pickle: Durante su período gratuito, los datos recopilados pueden usarse para mejorar el modelo.
- DeepSeek V4 Flash Free: Durante su período gratuito, los datos recopilados pueden usarse para mejorar el modelo.
+- MiMo-V2.5 Free: Durante su período gratuito, los datos recopilados pueden usarse para mejorar el modelo.
- Nemotron 3 Super Free (endpoints gratuitos de NVIDIA): Se ofrece bajo los [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Solo para uso de prueba, no para producción ni datos sensibles. NVIDIA registra los prompts y las salidas para mejorar sus modelos y servicios. No envíes datos personales ni confidenciales.
- OpenAI APIs: Las solicitudes se conservan durante 30 días de acuerdo con [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
- Anthropic APIs: Las solicitudes se conservan durante 30 días de acuerdo con [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
diff --git a/packages/web/src/content/docs/fr/go.mdx b/packages/web/src/content/docs/fr/go.mdx
index a2faec91f..1da98efbd 100644
--- a/packages/web/src/content/docs/fr/go.mdx
+++ b/packages/web/src/content/docs/fr/go.mdx
@@ -56,9 +56,10 @@ La liste actuelle des modèles comprend :
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
+- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
-- **MiniMax M2.7**
+- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -78,20 +79,21 @@ Les limites sont définies en valeur monétaire (dollars). Cela signifie que vot
Le tableau ci-dessous fournit une estimation du nombre de requêtes basée sur des modèles d'utilisation typiques de Go :
-| Model | requêtes par 5 heures | requêtes par semaine | requêtes par mois |
-| ------------------ | --------------------- | -------------------- | ----------------- |
-| GLM-5.1 | 880 | 2,150 | 4,300 |
-| GLM-5 | 1,150 | 2,880 | 5,750 |
-| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
-| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
-| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
-| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
-| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
-| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
-| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
-| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
-| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
-| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
+| Model | requêtes par 5 heures | requêtes par semaine | requêtes par mois |
+| ----------------- | --------------------- | -------------------- | ----------------- |
+| GLM-5.1 | 880 | 2,150 | 4,300 |
+| GLM-5 | 1,150 | 2,880 | 5,750 |
+| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
+| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
+| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
+| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
+| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
+| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
+| Qwen3.7 Max | 950 | 2,390 | 4,770 |
+| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
+| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
+| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
+| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
Les estimations sont basées sur les modèles de requêtes moyens observés :
@@ -100,10 +102,11 @@ Les estimations sont basées sur les modèles de requêtes moyens observés :
- DeepSeek V4 Pro — 750 tokens en entrée, 82,000 en cache, 290 tokens en sortie par requête
- DeepSeek V4 Flash — 790 tokens en entrée, 68,000 en cache, 280 tokens en sortie par requête
- MiniMax M2.7/M2.5 — 300 tokens en entrée, 55,000 en cache, 125 tokens en sortie par requête
-- Qwen3.5 Plus — 410 tokens en entrée, 47,000 en cache, 140 tokens en sortie par requête
+- Qwen3.7 Max — 420 tokens en entrée, 66,000 en cache, 200 tokens en sortie par requête
- Qwen3.6 Plus — 500 tokens en entrée, 57,000 en cache, 190 tokens en sortie par requête
-- MiMo-V2.5 — 1000 tokens en entrée, 60,000 en cache, 140 tokens en sortie par requête
-- MiMo-V2.5-Pro — 350 tokens en entrée, 41,000 en cache, 250 tokens en sortie par requête
+- Qwen3.5 Plus — 410 tokens en entrée, 47,000 en cache, 140 tokens en sortie par requête
+- MiMo-V2.5 — 830 tokens en entrée, 71,500 en cache, 295 tokens en sortie par requête
+- MiMo-V2.5-Pro — 790 tokens en entrée, 86,000 en cache, 305 tokens en sortie par requête
Vous pouvez suivre votre utilisation actuelle dans la **console**.
@@ -137,6 +140,7 @@ Vous pouvez également accéder aux modèles Go via les points de terminaison d'
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
+| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
diff --git a/packages/web/src/content/docs/fr/lsp.mdx b/packages/web/src/content/docs/fr/lsp.mdx
index 8a83370da..143361d9a 100644
--- a/packages/web/src/content/docs/fr/lsp.mdx
+++ b/packages/web/src/content/docs/fr/lsp.mdx
@@ -3,7 +3,7 @@ title: Serveurs LSP
description: OpenCode s'intègre à vos serveurs LSP.
---
-OpenCode s'intègre via le protocole LSP (Language Server Protocol) pour aider le LLM à interagir avec votre base de code. Il utilise des diagnostics pour fournir des commentaires au LLM.
+OpenCode peut s'intégrer aux serveurs Language Server Protocol (LSP) pour utiliser les diagnostics comme retour pour l'agent.
---
@@ -47,7 +47,7 @@ OpenCode est livré avec plusieurs serveurs LSP intégrés pour les langages pop
| yaml-ls | .yaml, .yml | Installe automatiquement le serveur yaml-language-server de Red Hat |
| zls | .zig, .zon | Commande `zig` disponible |
-Les serveurs LSP sont automatiquement activés lorsque l'une des extensions de fichier ci-dessus est détectée et que les exigences sont remplies.
+LSP est désactivé par défaut. Lorsqu'il est activé, les serveurs démarrent lorsqu'une des extensions de fichier ci-dessus est détectée et que les exigences sont remplies.
:::note
Vous pouvez désactiver les téléchargements automatiques du serveur LSP en définissant la variable d'environnement `OPENCODE_DISABLE_LSP_DOWNLOAD` sur `true`.
@@ -57,16 +57,35 @@ Vous pouvez désactiver les téléchargements automatiques du serveur LSP en dé
## Comment ça marche
-Lorsque opencode ouvre un fichier, il :
+Lorsque LSP est activé et qu'opencode ouvre un fichier, il :
1. Vérifie l'extension du fichier par rapport à tous les serveurs LSP activés.
2. Démarre le serveur LSP approprié s'il n'est pas déjà en cours d'exécution.
---
+## Bonnes pratiques
+
+LSP peut aider l'agent à trouver et corriger des problèmes en fournissant les diagnostics des serveurs de langage. C'est utile dans certains projets, mais ce n'est pas toujours un gain net.
+
+Les serveurs de langage peuvent se désynchroniser, consommer beaucoup de mémoire, varier selon la version ou le projet, et ralentir les flux de travail de l'agent. Dans de nombreux projets, il est préférable de faire exécuter directement par l'agent le lint, le typecheck ou d'autres outils CLI de diagnostic, afin que les erreurs reviennent dans la boucle de l'agent sans ces compromis. Documentez ces commandes dans des fichiers d'instructions comme `AGENTS.md` ou des skills afin que l'agent sache quoi exécuter. Activez LSP lorsque votre projet bénéficie d'un retour supplémentaire des serveurs de langage.
+
+---
+
## Configuration
-Vous pouvez personnaliser les serveurs LSP via la section `lsp` de votre configuration opencode.
+Vous pouvez activer et personnaliser les serveurs LSP via la section `lsp` de votre configuration opencode.
+
+Pour activer tous les serveurs LSP intégrés, définissez `lsp` sur `true`.
+
+```json title="opencode.json"
+{
+ "$schema": "https://opencode.ai/config.json",
+ "lsp": true
+}
+```
+
+Utilisez un objet pour conserver les serveurs intégrés activés tout en configurant des remplacements ou des serveurs personnalisés.
```json title="opencode.json"
{
@@ -135,7 +154,7 @@ Les options d'initialisation varient selon le serveur LSP. Consultez la document
### Désactivation des serveurs LSP
-Pour désactiver **tous** les serveurs LSP globalement, définissez `lsp` sur `false` :
+Si `lsp` est omis, tous les serveurs LSP sont désactivés. Pour désactiver tous les serveurs LSP après qu'une autre configuration les a activés, définissez `lsp` sur `false` :
```json title="opencode.json" {3}
{
diff --git a/packages/web/src/content/docs/fr/zen.mdx b/packages/web/src/content/docs/fr/zen.mdx
index 5650c4262..f703afe88 100644
--- a/packages/web/src/content/docs/fr/zen.mdx
+++ b/packages/web/src/content/docs/fr/zen.mdx
@@ -82,8 +82,8 @@ Vous pouvez également accéder à nos modèles via les points de terminaison AP
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
-| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -91,6 +91,7 @@ Vous pouvez également accéder à nos modèles via les points de terminaison AP
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
Le [model id](/docs/config/#models) dans votre configuration OpenCode utilise le format `opencode/`. Par exemple, pour GPT 5.5, vous utiliseriez `opencode/gpt-5.5` dans votre configuration.
@@ -115,6 +116,7 @@ Nous prenons en charge un modèle de paiement à l'utilisation. Vous trouverez c
| --------------------------------- | ------ | ------- | ----------- | ------------ |
| Big Pickle | Free | Free | Free | - |
| DeepSeek V4 Flash Free | Free | Free | Free | - |
+| MiMo-V2.5 Free | Free | Free | Free | - |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -122,6 +124,7 @@ Nous prenons en charge un modèle de paiement à l'utilisation. Vous trouverez c
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
+| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |
@@ -168,6 +171,7 @@ Les frais de carte de crédit sont répercutés au prix coûtant (4.4% + $0.30 p
Les modèles gratuits :
- DeepSeek V4 Flash Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
+- MiMo-V2.5 Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
- Nemotron 3 Super Free est disponible sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
- Big Pickle est un modèle stealth gratuit sur OpenCode pour une durée limitée. L'équipe utilise cette période pour recueillir des retours et améliorer le modèle.
@@ -219,6 +223,7 @@ Tous nos modèles sont hébergés aux US. Nos fournisseurs suivent une politique
- Big Pickle : Pendant sa période gratuite, les données collectées peuvent être utilisées pour améliorer le modèle.
- DeepSeek V4 Flash Free : Pendant sa période gratuite, les données collectées peuvent être utilisées pour améliorer le modèle.
+- MiMo-V2.5 Free : Pendant sa période gratuite, les données collectées peuvent être utilisées pour améliorer le modèle.
- Nemotron 3 Super Free (endpoints NVIDIA gratuits) : Fourni dans le cadre des [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Réservé à un usage d'essai, pas à la production ni aux données sensibles. Les prompts et les sorties sont journalisés par NVIDIA pour améliorer ses modèles et services. N'envoyez pas de données personnelles ou confidentielles.
- OpenAI APIs : Les requêtes sont conservées pendant 30 jours conformément à [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
- Anthropic APIs : Les requêtes sont conservées pendant 30 jours conformément à [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
diff --git a/packages/web/src/content/docs/go.mdx b/packages/web/src/content/docs/go.mdx
index 3d8e4f698..8d2ab5e3a 100644
--- a/packages/web/src/content/docs/go.mdx
+++ b/packages/web/src/content/docs/go.mdx
@@ -69,6 +69,7 @@ The current list of models includes:
- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
+- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -88,20 +89,21 @@ Limits are defined in dollar value. This means your actual request count depends
The table below provides an estimated request count based on typical Go usage patterns:
-| Model | requests per 5 hour | requests per week | requests per month |
-| ------------------ | ------------------- | ----------------- | ------------------ |
-| GLM-5.1 | 880 | 2,150 | 4,300 |
-| GLM-5 | 1,150 | 2,880 | 5,750 |
-| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
-| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
-| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
-| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
-| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
-| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
-| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
-| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
-| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
-| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
+| Model | requests per 5 hour | requests per week | requests per month |
+| ----------------- | ------------------- | ----------------- | ------------------ |
+| GLM-5.1 | 880 | 2,150 | 4,300 |
+| GLM-5 | 1,150 | 2,880 | 5,750 |
+| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
+| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
+| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
+| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
+| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
+| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
+| Qwen3.7 Max | 950 | 2,390 | 4,770 |
+| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
+| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
+| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
+| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
Estimates are based on observed average request patterns:
@@ -110,10 +112,11 @@ Estimates are based on observed average request patterns:
- DeepSeek V4 Pro — 750 input, 82,000 cached, 290 output tokens per request
- DeepSeek V4 Flash — 790 input, 68,000 cached, 280 output tokens per request
- MiniMax M2.7/M2.5 — 300 input, 55,000 cached, 125 output tokens per request
-- MiMo-V2.5 — 1000 input, 60,000 cached, 140 output tokens per request
-- MiMo-V2.5-Pro — 350 input, 41,000 cached, 250 output tokens per request
-- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
+- MiMo-V2.5 — 830 input, 71,500 cached, 295 output tokens per request
+- MiMo-V2.5-Pro — 790 input, 86,000 cached, 305 output tokens per request
+- Qwen3.7 Max — 420 input, 66,000 cached, 200 output tokens per request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens per request
+- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens per request
You can track your current usage in the **console**.
@@ -149,6 +152,7 @@ You can also access Go models through the following API endpoints.
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
+| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
diff --git a/packages/web/src/content/docs/it/go.mdx b/packages/web/src/content/docs/it/go.mdx
index 1a189803a..a4daf0e0f 100644
--- a/packages/web/src/content/docs/it/go.mdx
+++ b/packages/web/src/content/docs/it/go.mdx
@@ -64,9 +64,10 @@ L'elenco attuale dei modelli include:
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
+- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
-- **MiniMax M2.7**
+- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -86,20 +87,21 @@ I limiti sono definiti in valore in dollari. Questo significa che il conteggio e
La tabella seguente fornisce una stima del conteggio delle richieste in base a pattern di utilizzo tipici di Go:
-| Model | richieste ogni 5 ore | richieste a settimana | richieste al mese |
-| ------------------ | -------------------- | --------------------- | ----------------- |
-| GLM-5.1 | 880 | 2,150 | 4,300 |
-| GLM-5 | 1,150 | 2,880 | 5,750 |
-| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
-| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
-| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
-| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
-| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
-| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
-| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
-| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
-| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
-| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
+| Model | richieste ogni 5 ore | richieste a settimana | richieste al mese |
+| ----------------- | -------------------- | --------------------- | ----------------- |
+| GLM-5.1 | 880 | 2,150 | 4,300 |
+| GLM-5 | 1,150 | 2,880 | 5,750 |
+| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
+| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
+| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
+| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
+| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
+| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
+| Qwen3.7 Max | 950 | 2,390 | 4,770 |
+| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
+| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
+| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
+| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
Le stime si basano sui pattern medi di richieste osservati:
@@ -108,10 +110,11 @@ Le stime si basano sui pattern medi di richieste osservati:
- DeepSeek V4 Pro — 750 di input, 82.000 in cache, 290 token di output per richiesta
- DeepSeek V4 Flash — 790 di input, 68.000 in cache, 280 token di output per richiesta
- MiniMax M2.7/M2.5 — 300 di input, 55.000 in cache, 125 token di output per richiesta
-- Qwen3.5 Plus — 410 di input, 47.000 in cache, 140 token di output per richiesta
+- Qwen3.7 Max — 420 di input, 66.000 in cache, 200 token di output per richiesta
- Qwen3.6 Plus — 500 di input, 57.000 in cache, 190 token di output per richiesta
-- MiMo-V2.5 — 1000 di input, 60.000 in cache, 140 token di output per richiesta
-- MiMo-V2.5-Pro — 350 di input, 41.000 in cache, 250 token di output per richiesta
+- Qwen3.5 Plus — 410 di input, 47.000 in cache, 140 token di output per richiesta
+- MiMo-V2.5 — 830 di input, 71.500 in cache, 295 token di output per richiesta
+- MiMo-V2.5-Pro — 790 di input, 86.000 in cache, 305 token di output per richiesta
Puoi monitorare il tuo utilizzo attuale nella **console**.
@@ -147,6 +150,7 @@ Puoi anche accedere ai modelli Go tramite i seguenti endpoint API.
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
+| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
diff --git a/packages/web/src/content/docs/it/lsp.mdx b/packages/web/src/content/docs/it/lsp.mdx
index a21133b14..7e645b603 100644
--- a/packages/web/src/content/docs/it/lsp.mdx
+++ b/packages/web/src/content/docs/it/lsp.mdx
@@ -3,7 +3,7 @@ title: Server LSP
description: OpenCode si integra con i tuoi server LSP.
---
-OpenCode si integra con il tuo Language Server Protocol (LSP) per aiutare l'LLM a interagire con la tua codebase. Usa le diagnostiche per fornire feedback all'LLM.
+OpenCode può integrarsi con server Language Server Protocol (LSP) per usare la diagnostica come feedback per l'agente.
---
@@ -47,7 +47,7 @@ OpenCode include diversi server LSP integrati per linguaggi popolari:
| yaml-ls | .yaml, .yml | Installazione automatica di Red Hat yaml-language-server |
| zls | .zig, .zon | comando `zig` disponibile |
-I server LSP vengono abilitati automaticamente quando viene rilevata una delle estensioni qui sopra e i requisiti sono soddisfatti.
+LSP è disabilitato per impostazione predefinita. Quando è abilitato, i server si avviano quando viene rilevata una delle estensioni qui sopra e i requisiti sono soddisfatti.
:::note
Puoi disabilitare il download automatico dei server LSP impostando la variabile d'ambiente `OPENCODE_DISABLE_LSP_DOWNLOAD` a `true`.
@@ -57,16 +57,35 @@ Puoi disabilitare il download automatico dei server LSP impostando la variabile
## Come funziona
-Quando opencode apre un file:
+Quando LSP è abilitato e opencode apre un file:
1. Controlla l'estensione del file rispetto a tutti i server LSP abilitati.
2. Avvia il server LSP appropriato se non e gia in esecuzione.
---
+## Buone pratiche
+
+LSP può aiutare l'agente a trovare e correggere problemi fornendo diagnostica dai server di linguaggio. Questo è utile in alcuni progetti, ma non è sempre un vantaggio netto.
+
+I server di linguaggio possono andare fuori sincronizzazione, usare molta memoria, variare in base alla versione o al progetto e rallentare i workflow dell'agente. In molti progetti è meglio far eseguire direttamente all'agente lint, typecheck o altri strumenti CLI diagnostici, così gli errori rientrano nel ciclo dell'agente senza questi compromessi. Documenta questi comandi nei file di istruzioni come `AGENTS.md` o nelle skills, così l'agente sa cosa eseguire. Abilita LSP quando il tuo progetto trae beneficio da feedback aggiuntivo del server di linguaggio.
+
+---
+
## Configura
-Puoi personalizzare i server LSP tramite la sezione `lsp` nella configurazione di opencode.
+Puoi abilitare e personalizzare i server LSP tramite la sezione `lsp` nella configurazione di opencode.
+
+Per abilitare tutti i server LSP integrati, imposta `lsp` a `true`.
+
+```json title="opencode.json"
+{
+ "$schema": "https://opencode.ai/config.json",
+ "lsp": true
+}
+```
+
+Usa un oggetto per mantenere abilitati i server integrati mentre configuri override o server personalizzati.
```json title="opencode.json"
{
@@ -135,7 +154,7 @@ Le opzioni di inizializzazione variano da server a server. Consulta la documenta
### Disabilitare i server LSP
-Per disabilitare **tutti** i server LSP globalmente, imposta `lsp` a `false`:
+Se `lsp` è omesso, tutti i server LSP sono disabilitati. Per disabilitare tutti i server LSP dopo che un'altra configurazione li ha abilitati, imposta `lsp` a `false`:
```json title="opencode.json" {3}
{
diff --git a/packages/web/src/content/docs/it/zen.mdx b/packages/web/src/content/docs/it/zen.mdx
index fc34016d3..937a5ea09 100644
--- a/packages/web/src/content/docs/it/zen.mdx
+++ b/packages/web/src/content/docs/it/zen.mdx
@@ -91,8 +91,8 @@ Puoi anche accedere ai nostri modelli tramite i seguenti endpoint API.
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
-| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -100,6 +100,7 @@ Puoi anche accedere ai nostri modelli tramite i seguenti endpoint API.
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
Il [model id](/docs/config/#models) nella config di OpenCode
@@ -126,6 +127,7 @@ Supportiamo un modello pay-as-you-go. Qui sotto trovi i prezzi **per 1M token**.
| --------------------------------- | ------ | ------- | ----------- | ------------ |
| Big Pickle | Free | Free | Free | - |
| DeepSeek V4 Flash Free | Free | Free | Free | - |
+| MiMo-V2.5 Free | Free | Free | Free | - |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -133,6 +135,7 @@ Supportiamo un modello pay-as-you-go. Qui sotto trovi i prezzi **per 1M token**.
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
+| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |
@@ -179,6 +182,7 @@ Le commissioni della carta di credito vengono trasferite al costo (4.4% + $0.30
I modelli gratuiti:
- DeepSeek V4 Flash Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
+- MiMo-V2.5 Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
- Nemotron 3 Super Free è disponibile su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
- Big Pickle è un modello stealth che è gratuito su OpenCode per un periodo limitato. Il team usa questo periodo per raccogliere feedback e migliorare il modello.
@@ -233,6 +237,7 @@ Tutti i nostri modelli sono ospitati negli US. I nostri provider seguono una pol
- Big Pickle: durante il periodo gratuito, i dati raccolti possono essere usati per migliorare il modello.
- DeepSeek V4 Flash Free: durante il periodo gratuito, i dati raccolti possono essere usati per migliorare il modello.
+- MiMo-V2.5 Free: durante il periodo gratuito, i dati raccolti possono essere usati per migliorare il modello.
- Nemotron 3 Super Free (endpoint NVIDIA gratuiti): fornito secondo i [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Solo per uso di prova, non per produzione o dati sensibili. NVIDIA registra prompt e output per migliorare i propri modelli e servizi. Non inviare dati personali o riservati.
- OpenAI APIs: le richieste vengono conservate per 30 giorni in conformità con [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
- Anthropic APIs: le richieste vengono conservate per 30 giorni in conformità con [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
diff --git a/packages/web/src/content/docs/ja/go.mdx b/packages/web/src/content/docs/ja/go.mdx
index c2d50f5aa..ed2211bf4 100644
--- a/packages/web/src/content/docs/ja/go.mdx
+++ b/packages/web/src/content/docs/ja/go.mdx
@@ -56,9 +56,10 @@ OpenCode Goをサブスクライブできるのは、1つのワークスペー
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
+- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
-- **MiniMax M2.7**
+- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -78,20 +79,21 @@ OpenCode Goには以下の制限が含まれています:
以下の表は、一般的なGoの利用パターンに基づいた推定リクエスト数を示しています:
-| Model | 5時間あたりのリクエスト数 | 週間リクエスト数 | 月間リクエスト数 |
-| ------------------ | ------------------------- | ---------------- | ---------------- |
-| GLM-5.1 | 880 | 2,150 | 4,300 |
-| GLM-5 | 1,150 | 2,880 | 5,750 |
-| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
-| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
-| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
-| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
-| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
-| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
-| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
-| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
-| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
-| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
+| Model | 5時間あたりのリクエスト数 | 週間リクエスト数 | 月間リクエスト数 |
+| ----------------- | ------------------------- | ---------------- | ---------------- |
+| GLM-5.1 | 880 | 2,150 | 4,300 |
+| GLM-5 | 1,150 | 2,880 | 5,750 |
+| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
+| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
+| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
+| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
+| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
+| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
+| Qwen3.7 Max | 950 | 2,390 | 4,770 |
+| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
+| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
+| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
+| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
推定値は、観測された平均的なリクエストパターンに基づいています:
@@ -100,10 +102,11 @@ OpenCode Goには以下の制限が含まれています:
- DeepSeek V4 Pro — リクエストあたり 入力 750トークン、キャッシュ 82,000トークン、出力 290トークン
- DeepSeek V4 Flash — リクエストあたり 入力 790トークン、キャッシュ 68,000トークン、出力 280トークン
- MiniMax M2.7/M2.5 — リクエストあたり 入力 300トークン、キャッシュ 55,000トークン、出力 125トークン
-- Qwen3.5 Plus — リクエストあたり 入力 410トークン、キャッシュ 47,000トークン、出力 140トークン
+- Qwen3.7 Max — リクエストあたり 入力 420トークン、キャッシュ 66,000トークン、出力 200トークン
- Qwen3.6 Plus — リクエストあたり 入力 500トークン、キャッシュ 57,000トークン、出力 190トークン
-- MiMo-V2.5 — リクエストあたり 入力 1000トークン、キャッシュ 60,000トークン、出力 140トークン
-- MiMo-V2.5-Pro — リクエストあたり 入力 350トークン、キャッシュ 41,000トークン、出力 250トークン
+- Qwen3.5 Plus — リクエストあたり 入力 410トークン、キャッシュ 47,000トークン、出力 140トークン
+- MiMo-V2.5 — リクエストあたり 入力 830トークン、キャッシュ 71,500トークン、出力 295トークン
+- MiMo-V2.5-Pro — リクエストあたり 入力 790トークン、キャッシュ 86,000トークン、出力 305トークン
現在の利用状況は**コンソール**で追跡できます。
@@ -137,6 +140,7 @@ Zen残高にクレジットがある場合は、コンソールで**Use balance*
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
+| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
diff --git a/packages/web/src/content/docs/ja/lsp.mdx b/packages/web/src/content/docs/ja/lsp.mdx
index 948e74350..dfcda179b 100644
--- a/packages/web/src/content/docs/ja/lsp.mdx
+++ b/packages/web/src/content/docs/ja/lsp.mdx
@@ -3,7 +3,7 @@ title: LSPサーバー
description: OpenCode は LSP サーバーと統合します。
---
-OpenCode は言語サーバープロトコル (LSP) と統合して、LLM がコードベースと対話できるようにします。診断を使用して LLM にフィードバックを提供します。
+OpenCode は Language Server Protocol (LSP) サーバーと統合し、診断を agent へのフィードバックとして使用できます。
---
@@ -47,7 +47,7 @@ OpenCode には、一般的な言語用のいくつかの組み込み LSP サー
| yaml-ls | .yaml, .yml | Auto-installs Red Hat yaml-language-server |
| zls | .zig, .zon | `zig` command available |
-上記のファイル拡張子のいずれかが検出され、要件が満たされると、LSP サーバーは自動的に有効になります。
+LSP はデフォルトで無効です。有効にすると、上記のファイル拡張子のいずれかが検出され、要件が満たされた場合にサーバーが起動します。
:::note
`OPENCODE_DISABLE_LSP_DOWNLOAD` 環境変数を `true` に設定すると、LSP サーバーの自動ダウンロードを無効にできます。
@@ -57,16 +57,35 @@ OpenCode には、一般的な言語用のいくつかの組み込み LSP サー
## 仕組み
-OpenCode がファイルを開くと、次のようになります。
+LSP が有効で OpenCode がファイルを開くと、次のようになります。
1. 有効なすべての LSP サーバーに対してファイル拡張子をチェックします。
2. 適切な LSP サーバーがまだ実行されていない場合は開始します。
---
+## ベストプラクティス
+
+LSP は、言語サーバーの診断を提供することで、agent が問題を見つけて修正する助けになります。これは一部のプロジェクトで有用ですが、常に明確な利点になるとは限りません。
+
+言語サーバーは同期が外れたり、多くのメモリを使用したり、バージョンやプロジェクトによって挙動が変わったり、agent のワークフローを遅くすることがあります。多くのプロジェクトでは、agent に lint、typecheck、その他の診断用 CLI ツールを直接実行させる方が適しています。これにより、これらのトレードオフを避けながら、エラーを agent のループに戻せます。これらのコマンドを `AGENTS.md` や skills などの instruction files に記載し、agent が何を実行すべきか分かるようにしてください。追加の言語サーバーフィードバックが有効な場合に LSP を有効にしてください。
+
+---
+
## 設定
-OpenCode 設定の `lsp` セクションを通じて LSP サーバーをカスタマイズできます。
+OpenCode 設定の `lsp` セクションを通じて LSP サーバーを有効化し、カスタマイズできます。
+
+すべての組み込み LSP サーバーを有効にするには、`lsp` を `true` に設定します。
+
+```json title="opencode.json"
+{
+ "$schema": "https://opencode.ai/config.json",
+ "lsp": true
+}
+```
+
+オブジェクトを使用すると、組み込みサーバーを有効にしたまま、上書き設定やカスタムサーバーを設定できます。
```json title="opencode.json"
{
@@ -135,7 +154,7 @@ LSP サーバーの起動時に `env` プロパティを使用して環境変数
### LSPサーバーの無効化
-**すべて** LSP サーバーをグローバルに無効にするには、`lsp` を `false` に設定します。
+`lsp` を省略すると、すべての LSP サーバーは無効になります。別の設定で有効化されたすべての LSP サーバーを無効にするには、`lsp` を `false` に設定します。
```json title="opencode.json" {3}
{
diff --git a/packages/web/src/content/docs/ja/zen.mdx b/packages/web/src/content/docs/ja/zen.mdx
index 0ce99ab57..a479490f5 100644
--- a/packages/web/src/content/docs/ja/zen.mdx
+++ b/packages/web/src/content/docs/ja/zen.mdx
@@ -82,8 +82,8 @@ OpenCode Zen は、OpenCode のほかのプロバイダーと同じように動
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
-| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -91,6 +91,7 @@ OpenCode Zen は、OpenCode のほかのプロバイダーと同じように動
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
OpenCode 設定で使う [model id](/docs/config/#models) は `opencode/` 形式です。たとえば、GPT 5.5 では設定に `opencode/gpt-5.5` を使用します。
@@ -115,6 +116,7 @@ https://opencode.ai/zen/v1/models
| --------------------------------- | ------ | ------- | ----------- | ------------ |
| Big Pickle | Free | Free | Free | - |
| DeepSeek V4 Flash Free | Free | Free | Free | - |
+| MiMo-V2.5 Free | Free | Free | Free | - |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -122,6 +124,7 @@ https://opencode.ai/zen/v1/models
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
+| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |
@@ -168,6 +171,7 @@ https://opencode.ai/zen/v1/models
無料モデル:
- DeepSeek V4 Flash Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
+- MiMo-V2.5 Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
- Nemotron 3 Super Free は期間限定で OpenCode で利用できます。チームはこの期間中にフィードバックを集め、モデルを改善しています。
- Big Pickle はステルスモデルで、期間限定で OpenCode で無料提供されています。チームはこの期間中にフィードバックを集め、モデルを改善しています。
@@ -219,6 +223,7 @@ https://opencode.ai/zen/v1/models
- Big Pickle: 無料提供期間中、収集されたデータがモデル改善に使われる場合があります。
- DeepSeek V4 Flash Free: 無料提供期間中、収集されたデータがモデル改善に使われる場合があります。
+- MiMo-V2.5 Free: 無料提供期間中、収集されたデータがモデル改善に使われる場合があります。
- Nemotron 3 Super Free(NVIDIA の無料エンドポイント): [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) に基づいて提供されます。試用専用であり、本番環境や機密性の高いデータには使用しないでください。プロンプトと出力は、NVIDIA が自社のモデルとサービスを改善するために記録します。個人情報や機密データは送信しないでください。
- OpenAI APIs: リクエストは [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data) に従って 30 日間保持されます。
- Anthropic APIs: リクエストは [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage) に従って 30 日間保持されます。
diff --git a/packages/web/src/content/docs/ko/go.mdx b/packages/web/src/content/docs/ko/go.mdx
index ca0bee3c1..3b48ed9bc 100644
--- a/packages/web/src/content/docs/ko/go.mdx
+++ b/packages/web/src/content/docs/ko/go.mdx
@@ -56,9 +56,10 @@ workspace당 한 명의 멤버만 OpenCode Go를 구독할 수 있습니다.
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
+- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
-- **MiniMax M2.7**
+- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -78,20 +79,21 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
아래 표는 일반적인 Go 사용 패턴을 기준으로 한 예상 요청 횟수를 보여줍니다.
-| Model | 5시간당 요청 횟수 | 주간 요청 횟수 | 월간 요청 횟수 |
-| ------------------ | ----------------- | -------------- | -------------- |
-| GLM-5.1 | 880 | 2,150 | 4,300 |
-| GLM-5 | 1,150 | 2,880 | 5,750 |
-| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
-| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
-| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
-| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
-| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
-| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
-| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
-| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
-| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
-| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
+| Model | 5시간당 요청 횟수 | 주간 요청 횟수 | 월간 요청 횟수 |
+| ----------------- | ----------------- | -------------- | -------------- |
+| GLM-5.1 | 880 | 2,150 | 4,300 |
+| GLM-5 | 1,150 | 2,880 | 5,750 |
+| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
+| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
+| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
+| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
+| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
+| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
+| Qwen3.7 Max | 950 | 2,390 | 4,770 |
+| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
+| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
+| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
+| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
예상치는 관찰된 평균 요청 패턴을 기준으로 합니다.
@@ -100,10 +102,11 @@ OpenCode Go에는 다음과 같은 한도가 포함됩니다.
- DeepSeek V4 Pro — 요청당 입력 750, 캐시 82,000, 출력 토큰 290
- DeepSeek V4 Flash — 요청당 입력 790, 캐시 68,000, 출력 토큰 280
- MiniMax M2.7/M2.5 — 요청당 입력 300, 캐시 55,000, 출력 토큰 125
-- Qwen3.5 Plus — 요청당 입력 410, 캐시 47,000, 출력 토큰 140
+- Qwen3.7 Max — 요청당 입력 420, 캐시 66,000, 출력 토큰 200
- Qwen3.6 Plus — 요청당 입력 500, 캐시 57,000, 출력 토큰 190
-- MiMo-V2.5 — 요청당 입력 1000, 캐시 60,000, 출력 토큰 140
-- MiMo-V2.5-Pro — 요청당 입력 350, 캐시 41,000, 출력 토큰 250
+- Qwen3.5 Plus — 요청당 입력 410, 캐시 47,000, 출력 토큰 140
+- MiMo-V2.5 — 요청당 입력 830, 캐시 71,500, 출력 토큰 295
+- MiMo-V2.5-Pro — 요청당 입력 790, 캐시 86,000, 출력 토큰 305
현재 사용량은 **console**에서 확인할 수 있습니다.
@@ -137,6 +140,7 @@ Zen 잔액에 크레딧도 있다면, console에서 **Use balance** 옵션을
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
+| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
diff --git a/packages/web/src/content/docs/ko/lsp.mdx b/packages/web/src/content/docs/ko/lsp.mdx
index c1786f6ae..0bbd6c8e1 100644
--- a/packages/web/src/content/docs/ko/lsp.mdx
+++ b/packages/web/src/content/docs/ko/lsp.mdx
@@ -3,7 +3,7 @@ title: LSP 서버
description: OpenCode는 LSP 서버와 통합됩니다.
---
-OpenCode는 Language Server Protocol(LSP)과 통합되어 LLM이 코드베이스와 상호작용하도록 돕습니다. 진단 정보를 활용해 LLM에 피드백을 제공합니다.
+OpenCode는 Language Server Protocol(LSP) 서버와 통합해 진단 정보를 agent의 피드백으로 사용할 수 있습니다.
---
@@ -47,7 +47,7 @@ OpenCode는 널리 사용되는 언어를 위해 여러 built-in LSP 서버를
| yaml-ls | .yaml, .yml | Red Hat `yaml-language-server` 자동 설치 |
| zls | .zig, .zon | `zig` 명령 사용 가능 |
-위 확장자 중 하나가 감지되고 요구 사항이 충족되면 LSP 서버가 자동으로 활성화됩니다.
+LSP는 기본적으로 비활성화되어 있습니다. 활성화하면 위 확장자 중 하나가 감지되고 요구 사항이 충족될 때 서버가 시작됩니다.
:::note
`OPENCODE_DISABLE_LSP_DOWNLOAD` 환경 변수를 `true`로 설정하면 LSP 서버 자동 다운로드를 비활성화할 수 있습니다.
@@ -57,16 +57,35 @@ OpenCode는 널리 사용되는 언어를 위해 여러 built-in LSP 서버를
## 작동 방식
-OpenCode가 파일을 열면 다음과 같이 동작합니다.
+LSP가 활성화되어 있고 OpenCode가 파일을 열면 다음과 같이 동작합니다.
1. 활성화된 모든 LSP 서버에 대해 파일 확장자를 확인합니다.
2. 적절한 LSP 서버가 아직 실행 중이지 않다면 시작합니다.
---
+## 모범 사례
+
+LSP는 언어 서버의 진단을 제공해 agent가 문제를 찾고 수정하는 데 도움을 줄 수 있습니다. 일부 프로젝트에서는 유용하지만 항상 순이익이 되는 것은 아닙니다.
+
+언어 서버는 동기화가 어긋나거나 많은 메모리를 사용하거나 버전 또는 프로젝트에 따라 다르게 동작하고 agent 워크플로를 느리게 만들 수 있습니다. 많은 프로젝트에서는 agent가 lint, typecheck 또는 다른 진단용 CLI 도구를 직접 실행하게 하는 편이 더 좋습니다. 이렇게 하면 이러한 트레이드오프 없이 오류가 agent 루프로 다시 전달됩니다. agent가 무엇을 실행해야 하는지 알 수 있도록 해당 명령을 `AGENTS.md` 또는 skills 같은 instruction files에 문서화하세요. 프로젝트가 추가 언어 서버 피드백의 이점을 얻을 때 LSP를 활성화하세요.
+
+---
+
## 구성
-OpenCode config의 `lsp` 섹션에서 LSP 서버를 사용자 정의할 수 있습니다.
+OpenCode config의 `lsp` 섹션에서 LSP 서버를 활성화하고 사용자 정의할 수 있습니다.
+
+모든 내장 LSP 서버를 활성화하려면 `lsp`를 `true`로 설정하세요.
+
+```json title="opencode.json"
+{
+ "$schema": "https://opencode.ai/config.json",
+ "lsp": true
+}
+```
+
+객체를 사용하면 내장 서버를 활성화한 상태로 유지하면서 오버라이드나 사용자 정의 서버를 구성할 수 있습니다.
```json title="opencode.json"
{
@@ -135,7 +154,7 @@ OpenCode config의 `lsp` 섹션에서 LSP 서버를 사용자 정의할 수 있
### LSP 서버 비활성화
-전역에서 **모든** LSP 서버를 비활성화하려면 `lsp`를 `false`로 설정하세요.
+`lsp`를 생략하면 모든 LSP 서버가 비활성화됩니다. 다른 config에서 활성화한 모든 LSP 서버를 비활성화하려면 `lsp`를 `false`로 설정하세요.
```json title="opencode.json" {3}
{
diff --git a/packages/web/src/content/docs/ko/zen.mdx b/packages/web/src/content/docs/ko/zen.mdx
index 857903227..e34083658 100644
--- a/packages/web/src/content/docs/ko/zen.mdx
+++ b/packages/web/src/content/docs/ko/zen.mdx
@@ -82,8 +82,8 @@ OpenCode Zen은 OpenCode의 다른 provider와 똑같이 작동합니다.
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
-| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -91,6 +91,7 @@ OpenCode Zen은 OpenCode의 다른 provider와 똑같이 작동합니다.
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
OpenCode config에서 사용하는 [모델 ID](/docs/config/#models)는 `opencode/` 형식입니다. 예를 들어 GPT 5.5를 사용하려면 config에서 `opencode/gpt-5.5`를 사용하면 됩니다.
@@ -115,6 +116,7 @@ https://opencode.ai/zen/v1/models
| --------------------------------- | ------ | ------- | ----------- | ------------ |
| Big Pickle | Free | Free | Free | - |
| DeepSeek V4 Flash Free | Free | Free | Free | - |
+| MiMo-V2.5 Free | Free | Free | Free | - |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -122,6 +124,7 @@ https://opencode.ai/zen/v1/models
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
+| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |
@@ -168,6 +171,7 @@ https://opencode.ai/zen/v1/models
무료 모델:
- DeepSeek V4 Flash Free는 한정된 기간 동안 OpenCode에서 제공됩니다. 팀은 이 기간에 피드백을 수집하고 모델을 개선합니다.
+- MiMo-V2.5 Free는 한정된 기간 동안 OpenCode에서 제공됩니다. 팀은 이 기간에 피드백을 수집하고 모델을 개선합니다.
- Nemotron 3 Super Free는 한정된 기간 동안 OpenCode에서 제공됩니다. 팀은 이 기간에 피드백을 수집하고 모델을 개선합니다.
- Big Pickle은 한정된 기간 동안 OpenCode에서 무료로 제공되는 stealth model입니다. 팀은 이 기간에 피드백을 수집하고 모델을 개선합니다.
@@ -219,6 +223,7 @@ https://opencode.ai/zen/v1/models
- Big Pickle: 무료 제공 기간에는 수집된 데이터가 모델 개선에 사용될 수 있습니다.
- DeepSeek V4 Flash Free: 무료 제공 기간에는 수집된 데이터가 모델 개선에 사용될 수 있습니다.
+- MiMo-V2.5 Free: 무료 제공 기간에는 수집된 데이터가 모델 개선에 사용될 수 있습니다.
- Nemotron 3 Super Free(NVIDIA 무료 엔드포인트): [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf)에 따라 제공됩니다. 평가판 전용이며 프로덕션 환경이나 민감한 데이터에는 사용할 수 없습니다. NVIDIA는 자사 모델과 서비스를 개선하기 위해 프롬프트와 출력을 기록합니다. 개인 정보나 기밀 데이터는 제출하지 마세요.
- OpenAI APIs: 요청은 [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data)에 따라 30일 동안 보관됩니다.
- Anthropic APIs: 요청은 [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage)에 따라 30일 동안 보관됩니다.
diff --git a/packages/web/src/content/docs/lsp.mdx b/packages/web/src/content/docs/lsp.mdx
index 5854fe1f1..b9428e5b2 100644
--- a/packages/web/src/content/docs/lsp.mdx
+++ b/packages/web/src/content/docs/lsp.mdx
@@ -3,7 +3,7 @@ title: LSP Servers
description: OpenCode integrates with your LSP servers.
---
-OpenCode can integrate with your Language Server Protocol (LSP) to help the LLM interact with your codebase. It uses diagnostics to provide feedback to the LLM.
+OpenCode can integrate with Language Server Protocol (LSP) servers to use diagnostics as feedback for the agent.
---
@@ -48,7 +48,7 @@ OpenCode comes with several built-in LSP servers for popular languages:
| yaml-ls | .yaml, .yml | Auto-installs Red Hat yaml-language-server |
| zls | .zig, .zon | `zig` command available |
-When LSP is enabled, servers start when one of the above file extensions is detected and the requirements are met.
+LSP is disabled by default. When enabled, servers start when one of the above file extensions is detected and the requirements are met.
:::note
You can disable automatic LSP server downloads by setting the `OPENCODE_DISABLE_LSP_DOWNLOAD` environment variable to `true`.
@@ -65,6 +65,14 @@ When LSP is enabled and opencode opens a file, it:
---
+## Best Practices
+
+LSP can help the agent find and fix issues by providing diagnostics from language servers. This is useful in some projects, but it is not always a net positive.
+
+Language servers can get out of sync, use significant memory, vary by version or project, and slow down agent workflows. In many projects it is better to have the agent run lint, typecheck, or other diagnostic CLI tools directly, so errors are fed back into the agent loop without those tradeoffs. Document those commands in instruction files such as `AGENTS.md` or skills so the agent knows what to run. Enable LSP when your project benefits from additional language-server feedback.
+
+---
+
## Configure
You can enable and customize LSP servers through the `lsp` section in your opencode config.
diff --git a/packages/web/src/content/docs/nb/go.mdx b/packages/web/src/content/docs/nb/go.mdx
index 022e2b86b..8bdd166ad 100644
--- a/packages/web/src/content/docs/nb/go.mdx
+++ b/packages/web/src/content/docs/nb/go.mdx
@@ -66,9 +66,10 @@ Den nåværende listen over modeller inkluderer:
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
+- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
-- **MiniMax M2.7**
+- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -88,20 +89,21 @@ Grensene er definert i dollarverdi. Dette betyr at ditt faktiske antall forespø
Tabellen nedenfor gir et estimert antall forespørsler basert på typiske bruksmønstre for Go:
-| Model | forespørsler per 5 timer | forespørsler per uke | forespørsler per måned |
-| ------------------ | ------------------------ | -------------------- | ---------------------- |
-| GLM-5.1 | 880 | 2,150 | 4,300 |
-| GLM-5 | 1,150 | 2,880 | 5,750 |
-| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
-| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
-| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
-| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
-| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
-| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
-| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
-| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
-| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
-| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
+| Model | forespørsler per 5 timer | forespørsler per uke | forespørsler per måned |
+| ----------------- | ------------------------ | -------------------- | ---------------------- |
+| GLM-5.1 | 880 | 2,150 | 4,300 |
+| GLM-5 | 1,150 | 2,880 | 5,750 |
+| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
+| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
+| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
+| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
+| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
+| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
+| Qwen3.7 Max | 950 | 2,390 | 4,770 |
+| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
+| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
+| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
+| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
Estimatene er basert på observerte gjennomsnittlige forespørselsmønstre:
@@ -110,10 +112,11 @@ Estimatene er basert på observerte gjennomsnittlige forespørselsmønstre:
- DeepSeek V4 Pro — 750 input, 82 000 bufret, 290 output-tokens per forespørsel
- DeepSeek V4 Flash — 790 input, 68 000 bufret, 280 output-tokens per forespørsel
- MiniMax M2.7/M2.5 — 300 input, 55 000 bufret, 125 output-tokens per forespørsel
-- Qwen3.5 Plus — 410 input, 47 000 bufret, 140 output-tokens per forespørsel
+- Qwen3.7 Max — 420 input, 66 000 bufret, 200 output-tokens per forespørsel
- Qwen3.6 Plus — 500 input, 57 000 bufret, 190 output-tokens per forespørsel
-- MiMo-V2.5 — 1000 input, 60 000 bufret, 140 output-tokens per forespørsel
-- MiMo-V2.5-Pro — 350 input, 41 000 bufret, 250 output-tokens per forespørsel
+- Qwen3.5 Plus — 410 input, 47 000 bufret, 140 output-tokens per forespørsel
+- MiMo-V2.5 — 830 input, 71 500 bufret, 295 output-tokens per forespørsel
+- MiMo-V2.5-Pro — 790 input, 86 000 bufret, 305 output-tokens per forespørsel
Du kan spore din nåværende bruk i **konsollen**.
@@ -149,6 +152,7 @@ Du kan også få tilgang til Go-modeller gjennom følgende API-endepunkter.
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
+| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
diff --git a/packages/web/src/content/docs/nb/lsp.mdx b/packages/web/src/content/docs/nb/lsp.mdx
index 924b0dad1..7c9ceeaf8 100644
--- a/packages/web/src/content/docs/nb/lsp.mdx
+++ b/packages/web/src/content/docs/nb/lsp.mdx
@@ -3,7 +3,7 @@ title: LSP-servere
description: opencode integreres med LSP-serverne dine.
---
-OpenCode integreres med din Language Server Protocol (LSP) for å hjelpe LLM med å samhandle med kodebasen din. Den bruker diagnostikk for å gi tilbakemelding til LLM.
+OpenCode kan integreres med Language Server Protocol (LSP)-servere for å bruke diagnostikk som tilbakemelding til agenten.
---
@@ -47,7 +47,7 @@ OpenCode kommer med flere innebygde LSP-servere for populære språk:
| yaml-ls | .yaml, .yml | Installerer Red Hat yaml-language-server automatisk |
| zls | .zig, .zon | `zig` kommando tilgjengelig |
-LSP-servere aktiveres automatisk når en av filtypene ovenfor oppdages og kravene oppfylles.
+LSP er deaktivert som standard. Når det er aktivert, starter servere når en av filtypene ovenfor oppdages og kravene oppfylles.
:::note
Du kan deaktivere automatiske LSP-servernedlastinger ved å sette miljøvariabelen `OPENCODE_DISABLE_LSP_DOWNLOAD` til `true`.
@@ -57,16 +57,35 @@ Du kan deaktivere automatiske LSP-servernedlastinger ved å sette miljøvariabel
## Slik fungerer det
-Når opencode åpner en fil, gjør den:
+Når LSP er aktivert og opencode åpner en fil, gjør den:
1. Kontrollerer filtypen mot alle aktiverte LSP-servere.
2. Starter den riktige LSP-serveren hvis den ikke allerede kjører.
---
+## Beste praksis
+
+LSP kan hjelpe agenten med å finne og fikse problemer ved å gi diagnostikk fra språkservere. Dette er nyttig i noen prosjekter, men er ikke alltid en klar gevinst.
+
+Språkservere kan komme ut av synk, bruke mye minne, variere etter versjon eller prosjekt og redusere agentarbeidsflyter. I mange prosjekter er det bedre at agenten kjører lint, typecheck eller andre diagnostiske CLI-verktøy direkte, slik at feil mates tilbake i agentløkken uten disse avveiningene. Dokumenter disse kommandoene i instruksjonsfiler som `AGENTS.md` eller skills, slik at agenten vet hva den skal kjøre. Aktiver LSP når prosjektet ditt har nytte av ekstra språkservertilbakemelding.
+
+---
+
## Konfigurasjon
-Du kan tilpasse LSP-servere gjennom `lsp`-delen i OpenCode-konfigurasjonen.
+Du kan aktivere og tilpasse LSP-servere gjennom `lsp`-delen i OpenCode-konfigurasjonen.
+
+For å aktivere alle innebygde LSP-servere, sett `lsp` til `true`.
+
+```json title="opencode.json"
+{
+ "$schema": "https://opencode.ai/config.json",
+ "lsp": true
+}
+```
+
+Bruk et objekt for å beholde innebygde servere aktivert mens du konfigurerer overstyringer eller egendefinerte servere.
```json title="opencode.json"
{
@@ -135,7 +154,7 @@ Initialiseringsalternativer varierer etter LSP-server. Sjekk dokumentasjonen til
### Deaktivering av LSP-servere
-For å deaktivere **alle** LSP-servere globalt, sett `lsp` til `false`:
+Hvis `lsp` utelates, er alle LSP-servere deaktivert. For å deaktivere alle LSP-servere etter at en annen konfigurasjon har aktivert dem, sett `lsp` til `false`:
```json title="opencode.json" {3}
{
diff --git a/packages/web/src/content/docs/nb/zen.mdx b/packages/web/src/content/docs/nb/zen.mdx
index c9aa4514f..ac57fe9d8 100644
--- a/packages/web/src/content/docs/nb/zen.mdx
+++ b/packages/web/src/content/docs/nb/zen.mdx
@@ -91,8 +91,8 @@ Du kan også få tilgang til modellene våre gjennom følgende API-endepunkter.
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
-| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -100,6 +100,7 @@ Du kan også få tilgang til modellene våre gjennom følgende API-endepunkter.
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[modell-id](/docs/config/#models) i OpenCode-konfigurasjonen din
@@ -126,6 +127,7 @@ Vi støtter en pay-as-you-go-modell. Nedenfor er prisene **per 1M tokens**.
| --------------------------------- | ------- | ------- | ------------- | --------------- |
| Big Pickle | Free | Free | Free | - |
| DeepSeek V4 Flash Free | Free | Free | Free | - |
+| MiMo-V2.5 Free | Free | Free | Free | - |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -133,6 +135,7 @@ Vi støtter en pay-as-you-go-modell. Nedenfor er prisene **per 1M tokens**.
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
+| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |
@@ -179,6 +182,7 @@ Kredittkortgebyrer videreføres til kostpris (4.4% + $0.30 per transaction); vi
Gratis-modellene:
- DeepSeek V4 Flash Free er tilgjengelig på OpenCode i en begrenset periode. Teamet bruker denne tiden til å samle inn tilbakemeldinger og forbedre modellen.
+- MiMo-V2.5 Free er tilgjengelig på OpenCode i en begrenset periode. Teamet bruker denne tiden til å samle inn tilbakemeldinger og forbedre modellen.
- Nemotron 3 Super Free er tilgjengelig på OpenCode i en begrenset periode. Teamet bruker denne tiden til å samle inn tilbakemeldinger og forbedre modellen.
- Big Pickle er en stealth-modell som er gratis på OpenCode i en begrenset periode. Teamet bruker denne tiden til å samle inn tilbakemeldinger og forbedre modellen.
@@ -233,6 +237,7 @@ Alle modellene våre hostes i US. Leverandørene våre følger en policy for zer
- Big Pickle: I gratisperioden kan innsamlede data brukes til å forbedre modellen.
- DeepSeek V4 Flash Free: I gratisperioden kan innsamlede data brukes til å forbedre modellen.
+- MiMo-V2.5 Free: I gratisperioden kan innsamlede data brukes til å forbedre modellen.
- Nemotron 3 Super Free (gratis NVIDIA-endepunkter): Leveres under [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Kun for prøvebruk, ikke for produksjon eller sensitive data. Prompter og svar logges av NVIDIA for å forbedre modellene og tjenestene deres. Ikke send inn personopplysninger eller konfidensielle data.
- OpenAI APIs: Forespørsler lagres i 30 dager i samsvar med [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
- Anthropic APIs: Forespørsler lagres i 30 dager i samsvar med [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
diff --git a/packages/web/src/content/docs/pl/go.mdx b/packages/web/src/content/docs/pl/go.mdx
index 84d0ca036..c0e6c6ba4 100644
--- a/packages/web/src/content/docs/pl/go.mdx
+++ b/packages/web/src/content/docs/pl/go.mdx
@@ -60,9 +60,10 @@ Obecna lista modeli obejmuje:
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
+- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
-- **MiniMax M2.7**
+- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -82,20 +83,21 @@ Limity są zdefiniowane w wartości w dolarach. Oznacza to, że rzeczywista licz
Poniższa tabela przedstawia szacunkową liczbę żądań na podstawie typowych wzorców korzystania z Go:
-| Model | żądania na 5 godzin | żądania na tydzień | żądania na miesiąc |
-| ------------------ | ------------------- | ------------------ | ------------------ |
-| GLM-5.1 | 880 | 2,150 | 4,300 |
-| GLM-5 | 1,150 | 2,880 | 5,750 |
-| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
-| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
-| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
-| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
-| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
-| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
-| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
-| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
-| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
-| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
+| Model | żądania na 5 godzin | żądania na tydzień | żądania na miesiąc |
+| ----------------- | ------------------- | ------------------ | ------------------ |
+| GLM-5.1 | 880 | 2,150 | 4,300 |
+| GLM-5 | 1,150 | 2,880 | 5,750 |
+| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
+| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
+| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
+| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
+| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
+| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
+| Qwen3.7 Max | 950 | 2,390 | 4,770 |
+| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
+| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
+| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
+| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
Szacunki opierają się na zaobserwowanych średnich wzorcach żądań:
@@ -104,10 +106,11 @@ Szacunki opierają się na zaobserwowanych średnich wzorcach żądań:
- DeepSeek V4 Pro — 750 tokenów wejściowych, 82 000 w pamięci podręcznej, 290 tokenów wyjściowych na żądanie
- DeepSeek V4 Flash — 790 tokenów wejściowych, 68 000 w pamięci podręcznej, 280 tokenów wyjściowych na żądanie
- MiniMax M2.7/M2.5 — 300 tokenów wejściowych, 55 000 w pamięci podręcznej, 125 tokenów wyjściowych na żądanie
-- Qwen3.5 Plus — 410 tokenów wejściowych, 47 000 w pamięci podręcznej, 140 tokenów wyjściowych na żądanie
+- Qwen3.7 Max — 420 tokenów wejściowych, 66 000 w pamięci podręcznej, 200 tokenów wyjściowych na żądanie
- Qwen3.6 Plus — 500 tokenów wejściowych, 57 000 w pamięci podręcznej, 190 tokenów wyjściowych na żądanie
-- MiMo-V2.5 — 1000 tokenów wejściowych, 60 000 w pamięci podręcznej, 140 tokenów wyjściowych na żądanie
-- MiMo-V2.5-Pro — 350 tokenów wejściowych, 41 000 w pamięci podręcznej, 250 tokenów wyjściowych na żądanie
+- Qwen3.5 Plus — 410 tokenów wejściowych, 47 000 w pamięci podręcznej, 140 tokenów wyjściowych na żądanie
+- MiMo-V2.5 — 830 tokenów wejściowych, 71 500 w pamięci podręcznej, 295 tokenów wyjściowych na żądanie
+- MiMo-V2.5-Pro — 790 tokenów wejściowych, 86 000 w pamięci podręcznej, 305 tokenów wyjściowych na żądanie
Możesz śledzić swoje bieżące zużycie w **konsoli**.
@@ -141,6 +144,7 @@ Możesz również uzyskać dostęp do modeli Go za pośrednictwem następującyc
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
+| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
diff --git a/packages/web/src/content/docs/pl/lsp.mdx b/packages/web/src/content/docs/pl/lsp.mdx
index ec2edec43..5d7048f27 100644
--- a/packages/web/src/content/docs/pl/lsp.mdx
+++ b/packages/web/src/content/docs/pl/lsp.mdx
@@ -3,7 +3,7 @@ title: Serwery LSP
description: OpenCode integruje się z serwerami LSP.
---
-OpenCode integruje się z protokołem Language Server Protocol (LSP), aby zapewnić modelom LLM kontekst bazy kodu. Wykorzystuje diagnostykę, aby przekazywać informacje zwrotne do LLM.
+OpenCode może integrować się z serwerami Language Server Protocol (LSP), aby używać diagnostyki jako informacji zwrotnej dla agenta.
---
@@ -47,7 +47,7 @@ OpenCode posiada kilka wbudowanych serwerów LSP dla następujących języków:
| yaml-ls | .yaml, .yml | Automatycznie instaluje serwer języka yaml Red Hat |
| zls | .zig, .zon | Dostępne polecenie `zig` |
-Serwery LSP są automatycznie włączane po wykryciu jednego z obsługiwanych plików i spełnieniu wymagań.
+LSP jest domyślnie wyłączone. Gdy jest włączone, serwery uruchamiają się po wykryciu jednego z obsługiwanych rozszerzeń plików i spełnieniu wymagań.
:::note
Możesz wyłączyć automatyczne pobieranie serwerów LSP, ustawiając zmienną środowiskową `OPENCODE_DISABLE_LSP_DOWNLOAD` na `true`.
@@ -57,16 +57,35 @@ Możesz wyłączyć automatyczne pobieranie serwerów LSP, ustawiając zmienną
## Jak to działa
-Gdy OpenCode otwiera plik:
+Gdy LSP jest włączony i OpenCode otwiera plik:
1. Sprawdza plik pod kątem wszystkich dostępnych serwerów LSP.
2. Uruchamia odpowiedni serwer LSP, jeśli jeszcze nie działa.
---
+## Dobre praktyki
+
+LSP może pomóc agentowi znajdować i naprawiać problemy, dostarczając diagnostykę z serwerów językowych. Jest to przydatne w niektórych projektach, ale nie zawsze jest jednoznaczną korzyścią.
+
+Serwery językowe mogą wypaść z synchronizacji, zużywać dużo pamięci, różnić się między wersjami lub projektami i spowalniać workflow agenta. W wielu projektach lepiej, aby agent uruchamiał lint, typecheck lub inne diagnostyczne narzędzia CLI bezpośrednio; wtedy błędy wracają do pętli agenta bez tych kompromisów. Udokumentuj te komendy w plikach instrukcji, takich jak `AGENTS.md` lub skills, aby agent wiedział, co uruchomić. Włącz LSP, gdy Twój projekt korzysta z dodatkowej informacji zwrotnej z serwera językowego.
+
+---
+
## Konfiguracja
-Możesz dostosować serwery LSP poprzez sekcję `lsp` w konfiguracji OpenCode.
+Możesz włączać i dostosowywać serwery LSP poprzez sekcję `lsp` w konfiguracji OpenCode.
+
+Aby włączyć wszystkie wbudowane serwery LSP, ustaw `lsp` na `true`.
+
+```json title="opencode.json"
+{
+ "$schema": "https://opencode.ai/config.json",
+ "lsp": true
+}
+```
+
+Użyj obiektu, aby pozostawić wbudowane serwery włączone i jednocześnie skonfigurować nadpisania lub serwery niestandardowe.
```json title="opencode.json"
{
@@ -135,7 +154,7 @@ Opcje inicjalizacji różnią się w zależności od serwera LSP. Sprawdź dokum
### Wyłączanie serwerów LSP
-Aby wyłączyć **wszystkie** serwery LSP globalnie, ustaw `lsp` na `false`:
+Jeśli `lsp` zostanie pominięte, wszystkie serwery LSP są wyłączone. Aby wyłączyć wszystkie serwery LSP po tym, jak inna konfiguracja je włączyła, ustaw `lsp` na `false`:
```json title="opencode.json" {3}
{
diff --git a/packages/web/src/content/docs/pl/zen.mdx b/packages/web/src/content/docs/pl/zen.mdx
index 99743b848..737901bca 100644
--- a/packages/web/src/content/docs/pl/zen.mdx
+++ b/packages/web/src/content/docs/pl/zen.mdx
@@ -100,6 +100,7 @@ Możesz też uzyskać dostęp do naszych modeli przez poniższe endpointy API.
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[ID modelu](/docs/config/#models) w Twojej konfiguracji OpenCode używa formatu
@@ -126,6 +127,7 @@ Obsługujemy model pay-as-you-go. Poniżej znajdują się ceny **za 1M tokenów*
| --------------------------------- | ------- | ------- | -------------- | -------------- |
| Big Pickle | Free | Free | Free | - |
| DeepSeek V4 Flash Free | Free | Free | Free | - |
+| MiMo-V2.5 Free | Free | Free | Free | - |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -133,6 +135,7 @@ Obsługujemy model pay-as-you-go. Poniżej znajdują się ceny **za 1M tokenów*
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
+| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |
@@ -180,6 +183,7 @@ Opłaty za karty kredytowe są przenoszone po kosztach (4.4% + $0.30 per transac
Darmowe modele:
- DeepSeek V4 Flash Free jest dostępny w OpenCode przez ograniczony czas. Zespół wykorzystuje ten czas do zbierania opinii i ulepszania modelu.
+- MiMo-V2.5 Free jest dostępny w OpenCode przez ograniczony czas. Zespół wykorzystuje ten czas do zbierania opinii i ulepszania modelu.
- Nemotron 3 Super Free jest dostępny w OpenCode przez ograniczony czas. Zespół wykorzystuje ten czas do zbierania opinii i ulepszania modelu.
- Big Pickle to stealth model, który jest darmowy w OpenCode przez ograniczony czas. Zespół wykorzystuje ten czas do zbierania opinii i ulepszania modelu.
@@ -234,6 +238,7 @@ Wszystkie nasze modele są hostowane w US. Nasi dostawcy stosują politykę zero
- Big Pickle: W czasie darmowego okresu zebrane dane mogą być wykorzystywane do ulepszania modelu.
- DeepSeek V4 Flash Free: W czasie darmowego okresu zebrane dane mogą być wykorzystywane do ulepszania modelu.
+- MiMo-V2.5 Free: W czasie darmowego okresu zebrane dane mogą być wykorzystywane do ulepszania modelu.
- Nemotron 3 Super Free (darmowe endpointy NVIDIA): Udostępniany zgodnie z [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Tylko do użytku próbnego, nie do produkcji ani danych wrażliwych. NVIDIA rejestruje prompty i odpowiedzi, aby ulepszać swoje modele i usługi. Nie przesyłaj danych osobowych ani poufnych.
- OpenAI APIs: Żądania są przechowywane przez 30 dni zgodnie z [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
- Anthropic APIs: Żądania są przechowywane przez 30 dni zgodnie z [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
diff --git a/packages/web/src/content/docs/providers.mdx b/packages/web/src/content/docs/providers.mdx
index fd2522771..f5c2160da 100644
--- a/packages/web/src/content/docs/providers.mdx
+++ b/packages/web/src/content/docs/providers.mdx
@@ -727,7 +727,7 @@ DigitalOcean's [Inference Engine](https://docs.digitalocean.com/products/inferen
OpenCode supports two authentication methods:
-- **OAuth (Recommended)** — Sign in to your DigitalOcean account; OpenCode auto-creates a Model Access Key and discovers your available Models & Inference Routers.
+- **OAuth (Recommended)** — Sign in to your DigitalOcean account; OpenCode uses your DigitalOcean API token directly for inference and discovers your Inference Routers.
- **Model Access Key** — Paste an existing key from the DigitalOcean console.
#### OAuth (Recommended)
@@ -751,7 +751,11 @@ OpenCode supports two authentication methods:
3. Your browser opens to authorize OpenCode. Sign in and approve.
:::note
- OpenCode creates a Model Access Key named `opencode-oauth-` in your DigitalOcean account. You can rotate or revoke it from the **Model Access Keys** page in the "Manage" section of the DigitalOcean console under Inference.
+ OpenCode requests `genai:read` and `inference:query` OAuth scopes. Your DigitalOcean API token is used directly for inference — no separate Model Access Key is created.
+ :::
+
+ :::note
+ Inference Routers only appear in the model picker after OAuth. Pasting a Model Access Key manually does not discover routers.
:::
4. Run the `/models` command. Your Inference Routers appear as the format `router:` in the model selection.
diff --git a/packages/web/src/content/docs/pt-br/go.mdx b/packages/web/src/content/docs/pt-br/go.mdx
index d261395d4..ef5f464f1 100644
--- a/packages/web/src/content/docs/pt-br/go.mdx
+++ b/packages/web/src/content/docs/pt-br/go.mdx
@@ -66,9 +66,10 @@ A lista atual de modelos inclui:
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
+- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
-- **MiniMax M2.7**
+- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -88,20 +89,21 @@ Os limites são definidos em valor em dólares. Isso significa que a sua contage
A tabela abaixo fornece uma contagem estimada de requisições com base nos padrões típicos de uso do Go:
-| Model | requisições por 5 horas | requisições por semana | requisições por mês |
-| ------------------ | ----------------------- | ---------------------- | ------------------- |
-| GLM-5.1 | 880 | 2,150 | 4,300 |
-| GLM-5 | 1,150 | 2,880 | 5,750 |
-| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
-| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
-| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
-| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
-| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
-| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
-| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
-| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
-| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
-| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
+| Model | requisições por 5 horas | requisições por semana | requisições por mês |
+| ----------------- | ----------------------- | ---------------------- | ------------------- |
+| GLM-5.1 | 880 | 2,150 | 4,300 |
+| GLM-5 | 1,150 | 2,880 | 5,750 |
+| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
+| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
+| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
+| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
+| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
+| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
+| Qwen3.7 Max | 950 | 2,390 | 4,770 |
+| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
+| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
+| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
+| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
As estimativas baseiam-se nos padrões médios de requisições observados:
@@ -110,10 +112,11 @@ As estimativas baseiam-se nos padrões médios de requisições observados:
- DeepSeek V4 Pro — 750 tokens de entrada, 82.000 em cache, 290 tokens de saída por requisição
- DeepSeek V4 Flash — 790 tokens de entrada, 68.000 em cache, 280 tokens de saída por requisição
- MiniMax M2.7/M2.5 — 300 tokens de entrada, 55.000 em cache, 125 tokens de saída por requisição
-- Qwen3.5 Plus — 410 tokens de entrada, 47.000 em cache, 140 tokens de saída por requisição
+- Qwen3.7 Max — 420 tokens de entrada, 66.000 em cache, 200 tokens de saída por requisição
- Qwen3.6 Plus — 500 tokens de entrada, 57.000 em cache, 190 tokens de saída por requisição
-- MiMo-V2.5 — 1000 tokens de entrada, 60.000 em cache, 140 tokens de saída por requisição
-- MiMo-V2.5-Pro — 350 tokens de entrada, 41.000 em cache, 250 tokens de saída por requisição
+- Qwen3.5 Plus — 410 tokens de entrada, 47.000 em cache, 140 tokens de saída por requisição
+- MiMo-V2.5 — 830 tokens de entrada, 71.500 em cache, 295 tokens de saída por requisição
+- MiMo-V2.5-Pro — 790 tokens de entrada, 86.000 em cache, 305 tokens de saída por requisição
Você pode acompanhar o seu uso atual no **console**.
@@ -149,6 +152,7 @@ Você também pode acessar os modelos do Go através dos seguintes endpoints de
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
+| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
diff --git a/packages/web/src/content/docs/pt-br/lsp.mdx b/packages/web/src/content/docs/pt-br/lsp.mdx
index cd8937b24..f89a5d353 100644
--- a/packages/web/src/content/docs/pt-br/lsp.mdx
+++ b/packages/web/src/content/docs/pt-br/lsp.mdx
@@ -3,7 +3,7 @@ title: Servidores LSP
description: O opencode integra-se aos seus servidores LSP.
---
-O opencode integra-se ao seu Protocolo de Servidor de Linguagem (LSP) para ajudar o LLM a interagir com sua base de código. Ele usa diagnósticos para fornecer feedback ao LLM.
+O opencode pode se integrar a servidores Language Server Protocol (LSP) para usar diagnósticos como feedback para o agente.
---
@@ -47,7 +47,7 @@ O opencode vem com vários servidores LSP integrados para linguagens populares:
| yaml-ls | .yaml, .yml | Instala automaticamente o servidor yaml-language-server da Red Hat |
| zls | .zig, .zon | Comando `zig` disponível |
-Os servidores LSP são habilitados automaticamente quando uma das extensões de arquivo acima é detectada e os requisitos são atendidos.
+O LSP fica desabilitado por padrão. Quando habilitado, os servidores iniciam quando uma das extensões de arquivo acima é detectada e os requisitos são atendidos.
:::note
Você pode desabilitar os downloads automáticos do servidor LSP definindo a variável de ambiente `OPENCODE_DISABLE_LSP_DOWNLOAD` como `true`.
@@ -57,16 +57,35 @@ Você pode desabilitar os downloads automáticos do servidor LSP definindo a var
## Como Funciona
-Quando o opencode abre um arquivo, ele:
+Quando o LSP está habilitado e o opencode abre um arquivo, ele:
1. Verifica a extensão do arquivo em relação a todos os servidores LSP habilitados.
2. Inicia o servidor LSP apropriado se não estiver em execução.
---
+## Boas práticas
+
+O LSP pode ajudar o agente a encontrar e corrigir problemas fornecendo diagnósticos dos servidores de linguagem. Isso é útil em alguns projetos, mas nem sempre é um ganho líquido.
+
+Servidores de linguagem podem ficar fora de sincronia, usar bastante memória, variar por versão ou projeto e desacelerar fluxos de trabalho do agente. Em muitos projetos, é melhor fazer o agente executar lint, typecheck ou outras ferramentas CLI de diagnóstico diretamente, para que os erros voltem ao ciclo do agente sem essas compensações. Documente esses comandos em arquivos de instruções como `AGENTS.md` ou skills, para que o agente saiba o que executar. Habilite o LSP quando seu projeto se beneficiar de feedback adicional do servidor de linguagem.
+
+---
+
## Configuração
-Você pode personalizar os servidores LSP através da seção `lsp` na sua configuração do opencode.
+Você pode habilitar e personalizar os servidores LSP através da seção `lsp` na sua configuração do opencode.
+
+Para habilitar todos os servidores LSP integrados, defina `lsp` como `true`.
+
+```json title="opencode.json"
+{
+ "$schema": "https://opencode.ai/config.json",
+ "lsp": true
+}
+```
+
+Use um objeto para manter os servidores integrados habilitados enquanto configura substituições ou servidores personalizados.
```json title="opencode.json"
{
@@ -135,7 +154,7 @@ As opções de inicialização variam de acordo com o servidor LSP. Verifique a
### Desabilitando servidores LSP
-Para desabilitar **todos** os servidores LSP globalmente, defina `lsp` como `false`:
+Se `lsp` for omitido, todos os servidores LSP ficam desabilitados. Para desabilitar todos os servidores LSP depois que outra configuração os habilitou, defina `lsp` como `false`:
```json title="opencode.json" {3}
{
diff --git a/packages/web/src/content/docs/pt-br/zen.mdx b/packages/web/src/content/docs/pt-br/zen.mdx
index 054e1e19e..b52c3b018 100644
--- a/packages/web/src/content/docs/pt-br/zen.mdx
+++ b/packages/web/src/content/docs/pt-br/zen.mdx
@@ -91,6 +91,7 @@ Você também pode acessar nossos modelos pelos seguintes endpoints de API.
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
O [model id](/docs/config/#models) na sua configuração do OpenCode usa o formato `opencode/`. Por exemplo, para GPT 5.5, você usaria `opencode/gpt-5.5` na sua configuração.
@@ -115,6 +116,7 @@ Oferecemos um modelo pay-as-you-go. Abaixo estão os preços **por 1M tokens**.
| --------------------------------- | ------- | ------- | ---------------- | ---------------- |
| Big Pickle | Free | Free | Free | - |
| DeepSeek V4 Flash Free | Free | Free | Free | - |
+| MiMo-V2.5 Free | Free | Free | Free | - |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -122,6 +124,7 @@ Oferecemos um modelo pay-as-you-go. Abaixo estão os preços **por 1M tokens**.
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
+| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |
@@ -168,6 +171,7 @@ As taxas de cartão de crédito são repassadas a preço de custo (4.4% + $0.30
Os modelos gratuitos:
- DeepSeek V4 Flash Free está disponível no OpenCode por tempo limitado. A equipe está usando esse período para coletar feedback e melhorar o modelo.
+- MiMo-V2.5 Free está disponível no OpenCode por tempo limitado. A equipe está usando esse período para coletar feedback e melhorar o modelo.
- Nemotron 3 Super Free está disponível no OpenCode por tempo limitado. A equipe está usando esse período para coletar feedback e melhorar o modelo.
- Big Pickle é um modelo stealth que está gratuito no OpenCode por tempo limitado. A equipe está usando esse período para coletar feedback e melhorar o modelo.
@@ -219,6 +223,7 @@ Todos os nossos modelos são hospedados nos US. Nossos provedores seguem uma pol
- Big Pickle: Durante seu período gratuito, os dados coletados podem ser usados para melhorar o modelo.
- DeepSeek V4 Flash Free: Durante seu período gratuito, os dados coletados podem ser usados para melhorar o modelo.
+- MiMo-V2.5 Free: Durante seu período gratuito, os dados coletados podem ser usados para melhorar o modelo.
- Nemotron 3 Super Free (endpoints gratuitos da NVIDIA): Fornecido sob os [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Apenas para uso de avaliação, não para produção nem dados sensíveis. A NVIDIA registra prompts e saídas para melhorar seus modelos e serviços. Não envie dados pessoais ou confidenciais.
- OpenAI APIs: As solicitações são retidas por 30 dias de acordo com [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
- Anthropic APIs: As solicitações são retidas por 30 dias de acordo com [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
diff --git a/packages/web/src/content/docs/ru/go.mdx b/packages/web/src/content/docs/ru/go.mdx
index 88cadfe29..1620fe2e0 100644
--- a/packages/web/src/content/docs/ru/go.mdx
+++ b/packages/web/src/content/docs/ru/go.mdx
@@ -66,9 +66,10 @@ OpenCode Go работает так же, как и любой другой пр
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
+- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
-- **MiniMax M2.7**
+- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -88,20 +89,21 @@ OpenCode Go включает следующие лимиты:
В таблице ниже приведено примерное количество запросов на основе типичных сценариев использования Go:
-| Model | запросов за 5 часов | запросов в неделю | запросов в месяц |
-| ------------------ | ------------------- | ----------------- | ---------------- |
-| GLM-5.1 | 880 | 2,150 | 4,300 |
-| GLM-5 | 1,150 | 2,880 | 5,750 |
-| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
-| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
-| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
-| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
-| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
-| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
-| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
-| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
-| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
-| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
+| Model | запросов за 5 часов | запросов в неделю | запросов в месяц |
+| ----------------- | ------------------- | ----------------- | ---------------- |
+| GLM-5.1 | 880 | 2,150 | 4,300 |
+| GLM-5 | 1,150 | 2,880 | 5,750 |
+| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
+| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
+| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
+| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
+| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
+| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
+| Qwen3.7 Max | 950 | 2,390 | 4,770 |
+| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
+| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
+| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
+| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
Оценки основаны на наблюдаемых средних показателях запросов:
@@ -110,10 +112,11 @@ OpenCode Go включает следующие лимиты:
- DeepSeek V4 Pro — 750 входных, 82,000 кешированных, 290 выходных токенов на запрос
- DeepSeek V4 Flash — 790 входных, 68,000 кешированных, 280 выходных токенов на запрос
- MiniMax M2.7/M2.5 — 300 входных, 55,000 кешированных, 125 выходных токенов на запрос
-- Qwen3.5 Plus — 410 входных, 47,000 кешированных, 140 выходных токенов на запрос
+- Qwen3.7 Max — 420 входных, 66,000 кешированных, 200 выходных токенов на запрос
- Qwen3.6 Plus — 500 входных, 57,000 кешированных, 190 выходных токенов на запрос
-- MiMo-V2.5 — 1000 входных, 60,000 кешированных, 140 выходных токенов на запрос
-- MiMo-V2.5-Pro — 350 входных, 41,000 кешированных, 250 выходных токенов на запрос
+- Qwen3.5 Plus — 410 входных, 47,000 кешированных, 140 выходных токенов на запрос
+- MiMo-V2.5 — 830 входных, 71,500 кешированных, 295 выходных токенов на запрос
+- MiMo-V2.5-Pro — 790 входных, 86,000 кешированных, 305 выходных токенов на запрос
Вы можете отслеживать текущее использование в **консоли**.
@@ -149,6 +152,7 @@ OpenCode Go включает следующие лимиты:
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
+| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
diff --git a/packages/web/src/content/docs/ru/lsp.mdx b/packages/web/src/content/docs/ru/lsp.mdx
index 0b63c9ea3..95d7a8774 100644
--- a/packages/web/src/content/docs/ru/lsp.mdx
+++ b/packages/web/src/content/docs/ru/lsp.mdx
@@ -3,7 +3,7 @@ title: LSP-серверы
description: opencode интегрируется с вашими серверами LSP.
---
-opencode интегрируется с вашим протоколом языкового сервера (LSP), чтобы помочь LLM взаимодействовать с вашей кодовой базой. Он использует диагностику для предоставления обратной связи LLM.
+opencode может интегрироваться с серверами Language Server Protocol (LSP), чтобы использовать диагностику как обратную связь для агента.
---
@@ -46,7 +46,7 @@ opencode поставляется с несколькими встроенным
| yaml-ls | .yaml, .yml | Автоматически устанавливает Red Hat yaml-language-server |
| zls | .zig, .zon | `zig` команда доступна |
-Серверы LSP автоматически включаются при обнаружении одного из указанных выше расширений файлов и выполнении требований.
+LSP отключен по умолчанию. Когда он включен, серверы запускаются при обнаружении одного из указанных выше расширений файлов и выполнении требований.
:::note
Вы можете отключить автоматическую загрузку LSP-сервера, установив для переменной среды `OPENCODE_DISABLE_LSP_DOWNLOAD` значение `true`.
@@ -56,16 +56,35 @@ opencode поставляется с несколькими встроенным
## Как это работает
-Когда opencode открывает файл, он:
+Когда LSP включен и opencode открывает файл, он:
1. Проверяет расширение файла на всех включенных серверах LSP.
2. Запускает соответствующий сервер LSP, если он еще не запущен.
---
+## Рекомендации
+
+LSP может помочь агенту находить и исправлять проблемы, предоставляя диагностику от языковых серверов. Это полезно в некоторых проектах, но не всегда является однозначным преимуществом.
+
+Языковые серверы могут рассинхронизироваться, потреблять много памяти, отличаться по поведению между версиями или проектами и замедлять рабочие процессы агента. Во многих проектах лучше, чтобы агент напрямую запускал lint, typecheck или другие диагностические CLI-инструменты; так ошибки возвращаются в цикл агента без этих компромиссов. Задокументируйте эти команды в файлах инструкций, например `AGENTS.md` или skills, чтобы агент знал, что запускать. Включайте LSP, когда проект получает пользу от дополнительной обратной связи языкового сервера.
+
+---
+
## Настройка
-Вы можете настроить серверы LSP через раздел `lsp` в конфигурации opencode.
+Вы можете включить и настроить серверы LSP через раздел `lsp` в конфигурации opencode.
+
+Чтобы включить все встроенные LSP-серверы, установите `lsp` в `true`.
+
+```json title="opencode.json"
+{
+ "$schema": "https://opencode.ai/config.json",
+ "lsp": true
+}
+```
+
+Используйте объект, чтобы оставить встроенные серверы включенными и при этом настроить переопределения или пользовательские серверы.
```json title="opencode.json"
{
@@ -134,7 +153,7 @@ opencode поставляется с несколькими встроенным
### Отключение LSP-серверов
-Чтобы отключить **все** LSP-серверы глобально, установите для `lsp` значение `false`:
+Если `lsp` не указан, все LSP-серверы отключены. Чтобы отключить все LSP-серверы после того, как другая конфигурация их включила, установите для `lsp` значение `false`:
```json title="opencode.json" {3}
{
diff --git a/packages/web/src/content/docs/ru/zen.mdx b/packages/web/src/content/docs/ru/zen.mdx
index 54491d14e..4e34a55fd 100644
--- a/packages/web/src/content/docs/ru/zen.mdx
+++ b/packages/web/src/content/docs/ru/zen.mdx
@@ -100,6 +100,7 @@ OpenCode Zen работает как любой другой провайдер
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[идентификатор модели](/docs/config/#models) в вашей конфигурации OpenCode
@@ -126,6 +127,7 @@ https://opencode.ai/zen/v1/models
| --------------------------------- | ------ | ------- | ----------- | ------------ |
| Big Pickle | Free | Free | Free | - |
| DeepSeek V4 Flash Free | Free | Free | Free | - |
+| MiMo-V2.5 Free | Free | Free | Free | - |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -133,6 +135,7 @@ https://opencode.ai/zen/v1/models
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
+| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |
@@ -179,6 +182,7 @@ https://opencode.ai/zen/v1/models
Бесплатные модели:
- DeepSeek V4 Flash Free доступна в OpenCode ограниченное время. Команда использует это время, чтобы собирать отзывы и улучшать модель.
+- MiMo-V2.5 Free доступна в OpenCode ограниченное время. Команда использует это время, чтобы собирать отзывы и улучшать модель.
- Nemotron 3 Super Free доступна в OpenCode ограниченное время. Команда использует это время, чтобы собирать отзывы и улучшать модель.
- Big Pickle — это скрытая модель, которая доступна бесплатно в OpenCode ограниченное время. Команда использует это время, чтобы собирать отзывы и улучшать модель.
@@ -233,6 +237,7 @@ https://opencode.ai/zen/v1/models
- Big Pickle: во время бесплатного периода собранные данные могут использоваться для улучшения модели.
- DeepSeek V4 Flash Free: во время бесплатного периода собранные данные могут использоваться для улучшения модели.
+- MiMo-V2.5 Free: во время бесплатного периода собранные данные могут использоваться для улучшения модели.
- Nemotron 3 Super Free (бесплатные эндпоинты NVIDIA): предоставляется в соответствии с [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Только для пробного использования, не для продакшена и не для чувствительных данных. NVIDIA логирует запросы и ответы, чтобы улучшать свои модели и сервисы. Не отправляйте персональные или конфиденциальные данные.
- OpenAI APIs: запросы хранятся 30 дней в соответствии с [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
- Anthropic APIs: запросы хранятся 30 дней в соответствии с [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
diff --git a/packages/web/src/content/docs/th/go.mdx b/packages/web/src/content/docs/th/go.mdx
index 2059ad2c0..e9acb3edf 100644
--- a/packages/web/src/content/docs/th/go.mdx
+++ b/packages/web/src/content/docs/th/go.mdx
@@ -56,9 +56,10 @@ OpenCode Go ทำงานเหมือนกับผู้ให้บร
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
+- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
-- **MiniMax M2.7**
+- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -78,20 +79,21 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
ตารางด้านล่างแสดงจำนวน request โดยประมาณตามรูปแบบการใช้งานปกติของ Go:
-| Model | requests ต่อ 5 ชั่วโมง | requests ต่อสัปดาห์ | requests ต่อเดือน |
-| ------------------ | ---------------------- | ------------------- | ----------------- |
-| GLM-5.1 | 880 | 2,150 | 4,300 |
-| GLM-5 | 1,150 | 2,880 | 5,750 |
-| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
-| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
-| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
-| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
-| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
-| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
-| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
-| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
-| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
-| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
+| Model | requests ต่อ 5 ชั่วโมง | requests ต่อสัปดาห์ | requests ต่อเดือน |
+| ----------------- | ---------------------- | ------------------- | ----------------- |
+| GLM-5.1 | 880 | 2,150 | 4,300 |
+| GLM-5 | 1,150 | 2,880 | 5,750 |
+| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
+| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
+| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
+| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
+| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
+| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
+| Qwen3.7 Max | 950 | 2,390 | 4,770 |
+| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
+| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
+| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
+| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
การประมาณการอ้างอิงจากรูปแบบการใช้งาน request โดยเฉลี่ยที่สังเกตพบ:
@@ -100,10 +102,11 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
- DeepSeek V4 Pro — 750 input, 82,000 cached, 290 output tokens ต่อ request
- DeepSeek V4 Flash — 790 input, 68,000 cached, 280 output tokens ต่อ request
- MiniMax M2.7/M2.5 — 300 input, 55,000 cached, 125 output tokens ต่อ request
-- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens ต่อ request
+- Qwen3.7 Max — 420 input, 66,000 cached, 200 output tokens ต่อ request
- Qwen3.6 Plus — 500 input, 57,000 cached, 190 output tokens ต่อ request
-- MiMo-V2.5 — 1000 input, 60,000 cached, 140 output tokens ต่อ request
-- MiMo-V2.5-Pro — 350 input, 41,000 cached, 250 output tokens ต่อ request
+- Qwen3.5 Plus — 410 input, 47,000 cached, 140 output tokens ต่อ request
+- MiMo-V2.5 — 830 input, 71,500 cached, 295 output tokens ต่อ request
+- MiMo-V2.5-Pro — 790 input, 86,000 cached, 305 output tokens ต่อ request
คุณสามารถติดตามการใช้งานปัจจุบันของคุณได้ใน **console**
@@ -137,6 +140,7 @@ OpenCode Go มีขีดจำกัดดังต่อไปนี้:
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
+| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
diff --git a/packages/web/src/content/docs/th/lsp.mdx b/packages/web/src/content/docs/th/lsp.mdx
index 91d3f479f..52d798036 100644
--- a/packages/web/src/content/docs/th/lsp.mdx
+++ b/packages/web/src/content/docs/th/lsp.mdx
@@ -3,7 +3,7 @@ title: LSP เซิร์ฟเวอร์
description: OpenCode ทำงานร่วมกับเซิร์ฟเวอร์ LSP ของคุณ
---
-OpenCode ทำงานร่วมกับ Language Server Protocol (LSP) เพื่อช่วยให้ LLM โต้ตอบกับโค้ดเบสของคุณ ใช้การวินิจฉัยเพื่อให้ข้อเสนอแนะไปยัง LLM
+OpenCode สามารถทำงานร่วมกับเซิร์ฟเวอร์ Language Server Protocol (LSP) เพื่อใช้ diagnostics เป็น feedback สำหรับ agent
---
@@ -47,7 +47,7 @@ OpenCode มาพร้อมกับเซิร์ฟเวอร์ LSP ใ
| yaml-ls | .yaml, .yml | ติดตั้งเซิร์ฟเวอร์ภาษา Red Hat yaml โดยอัตโนมัติ |
| zls | .zig, .zon | `zig` คำสั่งใช้ได้ |
-เซิร์ฟเวอร์ LSP จะถูกเปิดใช้งานโดยอัตโนมัติเมื่อตรวจพบนามสกุลไฟล์ใดนามสกุลหนึ่งข้างต้นและเป็นไปตามข้อกำหนด
+LSP ปิดใช้งานเป็นค่าเริ่มต้น เมื่อเปิดใช้งาน เซิร์ฟเวอร์จะเริ่มทำงานเมื่อตรวจพบนามสกุลไฟล์ข้างต้นและเป็นไปตามข้อกำหนด
:::note
คุณสามารถปิดใช้งานการดาวน์โหลดเซิร์ฟเวอร์ LSP อัตโนมัติได้โดยตั้งค่าตัวแปรสภาพแวดล้อม `OPENCODE_DISABLE_LSP_DOWNLOAD` เป็น `true`
@@ -57,16 +57,35 @@ OpenCode มาพร้อมกับเซิร์ฟเวอร์ LSP ใ
## มันทำงานอย่างไร
-เมื่อ opencode เปิดไฟล์ มันจะ:
+เมื่อเปิดใช้งาน LSP และ opencode เปิดไฟล์ มันจะ:
1. ตรวจสอบนามสกุลไฟล์กับเซิร์ฟเวอร์ LSP ที่เปิดใช้งานทั้งหมด
2. เริ่มเซิร์ฟเวอร์ LSP ที่เหมาะสมหากยังไม่ได้ทำงาน
---
+## แนวทางปฏิบัติที่แนะนำ
+
+LSP สามารถช่วยให้ agent ค้นหาและแก้ไขปัญหาโดยให้ diagnostics จากเซิร์ฟเวอร์ภาษา สิ่งนี้มีประโยชน์ในบางโปรเจ็กต์ แต่ไม่ได้เป็นผลบวกเสมอไป
+
+เซิร์ฟเวอร์ภาษาอาจไม่ตรงกับสถานะโปรเจ็กต์ ใช้หน่วยความจำมาก แตกต่างกันตามเวอร์ชันหรือโปรเจ็กต์ และทำให้เวิร์กโฟลว์ของ agent ช้าลง ในหลายโปรเจ็กต์ การให้ agent รัน lint, typecheck หรือเครื่องมือ CLI สำหรับ diagnostics อื่นโดยตรงจะดีกว่า เพราะข้อผิดพลาดจะถูกส่งกลับเข้า loop ของ agent โดยไม่มีข้อแลกเปลี่ยนเหล่านี้ ระบุคำสั่งเหล่านี้ไว้ในไฟล์คำแนะนำ เช่น `AGENTS.md` หรือ skills เพื่อให้ agent รู้ว่าต้องรันอะไร เปิดใช้งาน LSP เมื่อโปรเจ็กต์ของคุณได้ประโยชน์จาก feedback เพิ่มเติมของเซิร์ฟเวอร์ภาษา
+
+---
+
## กำหนดค่า
-You can customize LSP servers through the `lsp` section in your opencode config.
+คุณสามารถเปิดใช้งานและปรับแต่งเซิร์ฟเวอร์ LSP ผ่านส่วน `lsp` ในการกำหนดค่า opencode
+
+หากต้องการเปิดใช้งานเซิร์ฟเวอร์ LSP ในตัวทั้งหมด ให้ตั้งค่า `lsp` เป็น `true`
+
+```json title="opencode.json"
+{
+ "$schema": "https://opencode.ai/config.json",
+ "lsp": true
+}
+```
+
+ใช้อ็อบเจ็กต์เพื่อให้เซิร์ฟเวอร์ในตัวยังคงเปิดใช้งานอยู่ พร้อมกำหนดค่าการแทนที่หรือเซิร์ฟเวอร์แบบกำหนดเอง
```json title="opencode.json"
{
@@ -135,7 +154,7 @@ You can customize LSP servers through the `lsp` section in your opencode config.
### ปิดการใช้งานเซิร์ฟเวอร์ LSP
-หากต้องการปิดการใช้งานเซิร์ฟเวอร์ **ทั้งหมด** LSP ทั่วโลก ให้ตั้งค่า `lsp` เป็น `false`:
+หากละเว้น `lsp` เซิร์ฟเวอร์ LSP ทั้งหมดจะถูกปิดใช้งาน หากการกำหนดค่าอื่นเปิดใช้งาน LSP ไว้ ให้ตั้งค่า `lsp` เป็น `false` เพื่อปิดใช้งานเซิร์ฟเวอร์ LSP ทั้งหมด:
```json title="opencode.json" {3}
{
diff --git a/packages/web/src/content/docs/th/zen.mdx b/packages/web/src/content/docs/th/zen.mdx
index 9c233d46c..788ceea80 100644
--- a/packages/web/src/content/docs/th/zen.mdx
+++ b/packages/web/src/content/docs/th/zen.mdx
@@ -84,8 +84,8 @@ OpenCode Zen ทำงานเหมือน provider อื่น ๆ ใน
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
-| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -93,6 +93,7 @@ OpenCode Zen ทำงานเหมือน provider อื่น ๆ ใน
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
[model id](/docs/config/#models) ใน OpenCode config ของคุณใช้รูปแบบ `opencode/` ตัวอย่างเช่น สำหรับ GPT 5.5 คุณจะใช้ `opencode/gpt-5.5` ใน config ของคุณ
@@ -117,6 +118,7 @@ https://opencode.ai/zen/v1/models
| --------------------------------- | ------ | ------- | ----------- | ------------ |
| Big Pickle | Free | Free | Free | - |
| DeepSeek V4 Flash Free | Free | Free | Free | - |
+| MiMo-V2.5 Free | Free | Free | Free | - |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -124,6 +126,7 @@ https://opencode.ai/zen/v1/models
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
+| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |
@@ -170,6 +173,7 @@ https://opencode.ai/zen/v1/models
โมเดลฟรี:
- DeepSeek V4 Flash Free เปิดให้ใช้บน OpenCode ในช่วงเวลาจำกัด ทีมกำลังใช้ช่วงเวลานี้เพื่อเก็บ feedback และปรับปรุงโมเดล
+- MiMo-V2.5 Free เปิดให้ใช้บน OpenCode ในช่วงเวลาจำกัด ทีมกำลังใช้ช่วงเวลานี้เพื่อเก็บ feedback และปรับปรุงโมเดล
- Nemotron 3 Super Free เปิดให้ใช้บน OpenCode ในช่วงเวลาจำกัด ทีมกำลังใช้ช่วงเวลานี้เพื่อเก็บ feedback และปรับปรุงโมเดล
- Big Pickle เป็น stealth model ที่ใช้งานฟรีบน OpenCode ในช่วงเวลาจำกัด ทีมกำลังใช้ช่วงเวลานี้เพื่อเก็บ feedback และปรับปรุงโมเดล
@@ -221,6 +225,7 @@ https://opencode.ai/zen/v1/models
- Big Pickle: ระหว่างช่วงที่เปิดให้ใช้ฟรี ข้อมูลที่เก็บรวบรวมอาจถูกนำไปใช้เพื่อปรับปรุงโมเดล
- DeepSeek V4 Flash Free: ระหว่างช่วงที่เปิดให้ใช้ฟรี ข้อมูลที่เก็บรวบรวมอาจถูกนำไปใช้เพื่อปรับปรุงโมเดล
+- MiMo-V2.5 Free: ระหว่างช่วงที่เปิดให้ใช้ฟรี ข้อมูลที่เก็บรวบรวมอาจถูกนำไปใช้เพื่อปรับปรุงโมเดล
- Nemotron 3 Super Free (endpoint ฟรีของ NVIDIA): ให้บริการภายใต้ [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) ใช้สำหรับการทดลองเท่านั้น ไม่เหมาะสำหรับ production หรือข้อมูลที่อ่อนไหว NVIDIA จะบันทึก prompt และ output เพื่อนำไปปรับปรุงโมเดลและบริการของตน โปรดอย่าส่งข้อมูลส่วนบุคคลหรือข้อมูลลับ.
- OpenAI APIs: คำขอจะถูกเก็บไว้เป็นเวลา 30 วันตาม [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
- Anthropic APIs: คำขอจะถูกเก็บไว้เป็นเวลา 30 วันตาม [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
diff --git a/packages/web/src/content/docs/tr/go.mdx b/packages/web/src/content/docs/tr/go.mdx
index 49d7ebecc..ad0c28381 100644
--- a/packages/web/src/content/docs/tr/go.mdx
+++ b/packages/web/src/content/docs/tr/go.mdx
@@ -56,9 +56,10 @@ Mevcut model listesi şunları içerir:
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
+- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
-- **MiniMax M2.7**
+- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -78,20 +79,21 @@ Limitler dolar değeri üzerinden belirlenmiştir. Bu, gerçek istek sayınızı
Aşağıdaki tablo, tipik Go kullanım modellerine dayalı tahmini bir istek sayısı sunmaktadır:
-| Model | 5 saatte bir istek | haftalık istek | aylık istek |
-| ------------------ | ------------------ | -------------- | ----------- |
-| GLM-5.1 | 880 | 2,150 | 4,300 |
-| GLM-5 | 1,150 | 2,880 | 5,750 |
-| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
-| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
-| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
-| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
-| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
-| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
-| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
-| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
-| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
-| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
+| Model | 5 saatte bir istek | haftalık istek | aylık istek |
+| ----------------- | ------------------ | -------------- | ----------- |
+| GLM-5.1 | 880 | 2,150 | 4,300 |
+| GLM-5 | 1,150 | 2,880 | 5,750 |
+| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
+| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
+| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
+| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
+| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
+| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
+| Qwen3.7 Max | 950 | 2,390 | 4,770 |
+| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
+| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
+| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
+| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
Tahminler, gözlemlenen ortalama istek modellerine dayanmaktadır:
@@ -100,10 +102,11 @@ Tahminler, gözlemlenen ortalama istek modellerine dayanmaktadır:
- DeepSeek V4 Pro — İstek başına 750 girdi, 82.000 önbelleğe alınmış, 290 çıktı token'ı
- DeepSeek V4 Flash — İstek başına 790 girdi, 68.000 önbelleğe alınmış, 280 çıktı token'ı
- MiniMax M2.7/M2.5 — İstek başına 300 girdi, 55.000 önbelleğe alınmış, 125 çıktı token'ı
-- Qwen3.5 Plus — İstek başına 410 girdi, 47.000 önbelleğe alınmış, 140 çıktı token'ı
+- Qwen3.7 Max — İstek başına 420 girdi, 66.000 önbelleğe alınmış, 200 çıktı token'ı
- Qwen3.6 Plus — İstek başına 500 girdi, 57.000 önbelleğe alınmış, 190 çıktı token'ı
-- MiMo-V2.5 — İstek başına 1000 girdi, 60.000 önbelleğe alınmış, 140 çıktı token'ı
-- MiMo-V2.5-Pro — İstek başına 350 girdi, 41.000 önbelleğe alınmış, 250 çıktı token'ı
+- Qwen3.5 Plus — İstek başına 410 girdi, 47.000 önbelleğe alınmış, 140 çıktı token'ı
+- MiMo-V2.5 — İstek başına 830 girdi, 71.500 önbelleğe alınmış, 295 çıktı token'ı
+- MiMo-V2.5-Pro — İstek başına 790 girdi, 86.000 önbelleğe alınmış, 305 çıktı token'ı
Mevcut kullanımınızı **konsoldan** takip edebilirsiniz.
@@ -137,6 +140,7 @@ Go modellerine aşağıdaki API uç noktaları aracılığıyla da erişebilirsi
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
+| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
diff --git a/packages/web/src/content/docs/tr/lsp.mdx b/packages/web/src/content/docs/tr/lsp.mdx
index 52a95d1c3..78af6cc5f 100644
--- a/packages/web/src/content/docs/tr/lsp.mdx
+++ b/packages/web/src/content/docs/tr/lsp.mdx
@@ -3,7 +3,7 @@ title: LSP Sunucuları
description: OpenCode, LSP sunucularınızla bütünleşir.
---
-OpenCode, LLM'in kod tabanınızla etkileşime girmesine yardımcı olmak için Dil Sunucusu Protokolünüzle (LSP) bütünleşir. LLM'ye geri bildirim sağlamak için tanılamayı kullanır.
+OpenCode, tanılamayı agent için geri bildirim olarak kullanmak üzere Language Server Protocol (LSP) sunucularıyla bütünleşebilir.
---
@@ -47,7 +47,7 @@ OpenCode, popüler diller için çeşitli yerleşik LSP sunucularıyla birlikte
| yaml-ls | .yaml, .yml | Red Hat yaml-language-server'ı otomatik olarak yükler |
| zls | .zig, .zon | `zig` komutu mevcut |
-Yukarıdaki dosya uzantılarından biri tespit edildiğinde ve gereksinimler karşılandığında LSP sunucuları otomatik olarak etkinleştirilir.
+LSP varsayılan olarak devre dışıdır. Etkinleştirildiğinde, yukarıdaki dosya uzantılarından biri tespit edilir ve gereksinimler karşılanırsa sunucular başlatılır.
:::note
`OPENCODE_DISABLE_LSP_DOWNLOAD` ortam değişkenini `true` olarak ayarlayarak otomatik LSP sunucu indirmelerini devre dışı bırakabilirsiniz.
@@ -57,16 +57,35 @@ Yukarıdaki dosya uzantılarından biri tespit edildiğinde ve gereksinimler kar
## Nasıl Çalışır?
-opencode bir dosyayı açtığında:
+LSP etkinleştirildiğinde ve opencode bir dosyayı açtığında:
1. Dosya uzantısını tüm etkin LSP sunucularına göre kontrol eder.
2. Henüz çalışmıyorsa uygun LSP sunucusunu başlatır.
---
+## En İyi Uygulamalar
+
+LSP, dil sunucularından tanılama sağlayarak agent'ın sorunları bulup düzeltmesine yardımcı olabilir. Bu bazı projelerde yararlıdır, ancak her zaman net bir kazanç değildir.
+
+Dil sunucuları senkronizasyonu kaybedebilir, önemli miktarda bellek kullanabilir, sürüme veya projeye göre değişebilir ve agent iş akışlarını yavaşlatabilir. Birçok projede agent'ın lint, typecheck veya diğer tanılama CLI araçlarını doğrudan çalıştırması daha iyidir; böylece hatalar bu ödünleşimler olmadan agent döngüsüne geri beslenir. Agent'ın ne çalıştıracağını bilmesi için bu komutları `AGENTS.md` veya skills gibi talimat dosyalarında belgeleyin. Projeniz ek dil sunucusu geri bildiriminden yararlanıyorsa LSP'yi etkinleştirin.
+
+---
+
## Yapılandırma
-LSP sunucularını, opencode yapılandırmanızdaki `lsp` bölümü aracılığıyla özelleştirebilirsiniz.
+LSP sunucularını, opencode yapılandırmanızdaki `lsp` bölümü aracılığıyla etkinleştirebilir ve özelleştirebilirsiniz.
+
+Tüm yerleşik LSP sunucularını etkinleştirmek için `lsp` değerini `true` olarak ayarlayın.
+
+```json title="opencode.json"
+{
+ "$schema": "https://opencode.ai/config.json",
+ "lsp": true
+}
+```
+
+Yerleşik sunucuları etkin tutarken geçersiz kılmaları veya özel sunucuları yapılandırmak için bir nesne kullanın.
```json title="opencode.json"
{
@@ -135,7 +154,7 @@ Başlatma seçenekleri LSP sunucusuna göre değişir. Mevcut seçenekler için
### LSP sunucularını devre dışı bırakma
-**tüm** LSP sunucularını genel olarak devre dışı bırakmak için `lsp`'yi `false` olarak ayarlayın:
+`lsp` atlanırsa tüm LSP sunucuları devre dışı kalır. Başka bir yapılandırma etkinleştirdikten sonra tüm LSP sunucularını devre dışı bırakmak için `lsp` değerini `false` olarak ayarlayın:
```json title="opencode.json" {3}
{
diff --git a/packages/web/src/content/docs/tr/zen.mdx b/packages/web/src/content/docs/tr/zen.mdx
index 8357d107a..9d3454a16 100644
--- a/packages/web/src/content/docs/tr/zen.mdx
+++ b/packages/web/src/content/docs/tr/zen.mdx
@@ -82,8 +82,8 @@ Modellerimize aşağıdaki API uç noktaları aracılığıyla da erişebilirsin
| Gemini 3 Flash | gemini-3-flash | `https://opencode.ai/zen/v1/models/gemini-3-flash` | `@ai-sdk/google` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/v1/messages` | `@ai-sdk/anthropic` |
-| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5.1 | glm-5.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| GLM 5 | glm-5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Kimi K2.5 | kimi-k2.5 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
@@ -91,6 +91,7 @@ Modellerimize aşağıdaki API uç noktaları aracılığıyla da erişebilirsin
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
OpenCode yapılandırmanızdaki [model id](/docs/config/#models) `opencode/` biçimini kullanır. Örneğin, GPT 5.5 için yapılandırmanızda `opencode/gpt-5.5` kullanırsınız.
@@ -115,6 +116,7 @@ Kullandıkça öde modelini destekliyoruz. Aşağıda **1M token başına** fiya
| --------------------------------- | ------ | ------- | ----------- | ------------ |
| Big Pickle | Free | Free | Free | - |
| DeepSeek V4 Flash Free | Free | Free | Free | - |
+| MiMo-V2.5 Free | Free | Free | Free | - |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -122,6 +124,7 @@ Kullandıkça öde modelini destekliyoruz. Aşağıda **1M token başına** fiya
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
+| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |
@@ -168,6 +171,7 @@ Kredi kartı ücretleri maliyet üzerinden yansıtılır (%4.4 + işlem başına
Ücretsiz modeller:
- DeepSeek V4 Flash Free, sınırlı bir süre için OpenCode'da ücretsizdir. Ekip bu süreyi geri bildirim toplamak ve modeli iyileştirmek için kullanıyor.
+- MiMo-V2.5 Free, sınırlı bir süre için OpenCode'da ücretsizdir. Ekip bu süreyi geri bildirim toplamak ve modeli iyileştirmek için kullanıyor.
- Nemotron 3 Super Free, sınırlı bir süre için OpenCode'da ücretsizdir. Ekip bu süreyi geri bildirim toplamak ve modeli iyileştirmek için kullanıyor.
- Big Pickle, sınırlı bir süre için OpenCode'da ücretsiz olan gizli bir modeldir. Ekip bu süreyi geri bildirim toplamak ve modeli iyileştirmek için kullanıyor.
@@ -219,6 +223,7 @@ Tüm modellerimiz US'de barındırılıyor. Sağlayıcılarımız zero-retention
- Big Pickle: Ücretsiz döneminde toplanan veriler modeli iyileştirmek için kullanılabilir.
- DeepSeek V4 Flash Free: Ücretsiz döneminde toplanan veriler modeli iyileştirmek için kullanılabilir.
+- MiMo-V2.5 Free: Ücretsiz döneminde toplanan veriler modeli iyileştirmek için kullanılabilir.
- Nemotron 3 Super Free (ücretsiz NVIDIA uç noktaları): [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) kapsamında sunulur. Yalnızca deneme amaçlıdır; üretim veya hassas veriler için uygun değildir. NVIDIA, modellerini ve hizmetlerini geliştirmek için promptları ve çıktıları kaydeder. Kişisel veya gizli veri göndermeyin.
- OpenAI APIs: İstekler [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data) uyarınca 30 gün boyunca saklanır.
- Anthropic APIs: İstekler [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage) uyarınca 30 gün boyunca saklanır.
diff --git a/packages/web/src/content/docs/zen.mdx b/packages/web/src/content/docs/zen.mdx
index 173b34f54..b52847cb8 100644
--- a/packages/web/src/content/docs/zen.mdx
+++ b/packages/web/src/content/docs/zen.mdx
@@ -100,6 +100,7 @@ You can also access our models through the following API endpoints.
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
The [model id](/docs/config/#models) in your OpenCode config
@@ -126,6 +127,7 @@ We support a pay-as-you-go model. Below are the prices **per 1M tokens**.
| --------------------------------- | ------ | ------- | ----------- | ------------ |
| Big Pickle | Free | Free | Free | - |
| DeepSeek V4 Flash Free | Free | Free | Free | - |
+| MiMo-V2.5 Free | Free | Free | Free | - |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -133,6 +135,7 @@ We support a pay-as-you-go model. Below are the prices **per 1M tokens**.
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
+| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |
@@ -179,6 +182,7 @@ Credit card fees are passed along at cost (4.4% + $0.30 per transaction); we don
The free models:
- DeepSeek V4 Flash Free is available on OpenCode for a limited time. The team is using this time to collect feedback and improve the model.
+- MiMo-V2.5 Free is available on OpenCode for a limited time. The team is using this time to collect feedback and improve the model.
- Nemotron 3 Super Free is available on OpenCode for a limited time. The team is using this time to collect feedback and improve the model.
- Big Pickle is a stealth model that's free on OpenCode for a limited time. The team is using this time to collect feedback and improve the model.
@@ -233,6 +237,7 @@ All our models are hosted in the US. Our providers follow a zero-retention polic
- Big Pickle: During its free period, collected data may be used to improve the model.
- DeepSeek V4 Flash Free: During its free period, collected data may be used to improve the model.
+- MiMo-V2.5 Free: During its free period, collected data may be used to improve the model.
- Nemotron 3 Super Free (NVIDIA free endpoints): Provided under the [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf). Trial use only — not for production or sensitive data. Prompts and outputs are logged by NVIDIA to improve its models and services. Do not submit personal or confidential data.
- OpenAI APIs: Requests are retained for 30 days in accordance with [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data).
- Anthropic APIs: Requests are retained for 30 days in accordance with [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage).
diff --git a/packages/web/src/content/docs/zh-cn/go.mdx b/packages/web/src/content/docs/zh-cn/go.mdx
index 2e2c79208..ec4d6c570 100644
--- a/packages/web/src/content/docs/zh-cn/go.mdx
+++ b/packages/web/src/content/docs/zh-cn/go.mdx
@@ -56,9 +56,10 @@ OpenCode Go 的工作方式与 OpenCode 中的其他提供商一样。
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
+- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
-- **MiniMax M2.7**
+- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -78,20 +79,21 @@ OpenCode Go 包含以下限制:
下表提供了基于典型 Go 使用模式的预估请求数:
-| Model | 每 5 小时请求数 | 每周请求数 | 每月请求数 |
-| ------------------ | --------------- | ---------- | ---------- |
-| GLM-5.1 | 880 | 2,150 | 4,300 |
-| GLM-5 | 1,150 | 2,880 | 5,750 |
-| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
-| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
-| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
-| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
-| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
-| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
-| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
-| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
-| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
-| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
+| Model | 每 5 小时请求数 | 每周请求数 | 每月请求数 |
+| ----------------- | --------------- | ---------- | ---------- |
+| GLM-5.1 | 880 | 2,150 | 4,300 |
+| GLM-5 | 1,150 | 2,880 | 5,750 |
+| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
+| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
+| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
+| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
+| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
+| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
+| Qwen3.7 Max | 950 | 2,390 | 4,770 |
+| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
+| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
+| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
+| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
预估值基于观察到的平均请求模式:
@@ -99,11 +101,12 @@ OpenCode Go 包含以下限制:
- Kimi K2.5/K2.6 — 每次请求 870 个输入 token,55,000 个缓存 token,200 个输出 token
- DeepSeek V4 Pro — 每次请求 750 个输入 token,82,000 个缓存 token,290 个输出 token
- DeepSeek V4 Flash — 每次请求 790 个输入 token,68,000 个缓存 token,280 个输出 token
-- MiMo-V2.5 — 每次请求 1000 个输入 token,60,000 个缓存 token,140 个输出 token
-- MiMo-V2.5-Pro — 每次请求 350 个输入 token,41,000 个缓存 token,250 个输出 token
+- MiMo-V2.5 — 每次请求 830 个输入 token,71,500 个缓存 token,295 个输出 token
+- MiMo-V2.5-Pro — 每次请求 790 个输入 token,86,000 个缓存 token,305 个输出 token
- MiniMax M2.7/M2.5 — 每次请求 300 个输入 token,55,000 个缓存 token,125 个输出 token
-- Qwen3.5 Plus — 每次请求 410 个输入 token,47,000 个缓存 token,140 个输出 token
+- Qwen3.7 Max — 每次请求 420 个输入 token,66,000 个缓存 token,200 个输出 token
- Qwen3.6 Plus — 每次请求 500 个输入 token,57,000 个缓存 token,190 个输出 token
+- Qwen3.5 Plus — 每次请求 410 个输入 token,47,000 个缓存 token,140 个输出 token
你可以在 **控制台** 中跟踪你当前的使用情况。
@@ -137,6 +140,7 @@ OpenCode Go 包含以下限制:
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
+| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
diff --git a/packages/web/src/content/docs/zh-cn/lsp.mdx b/packages/web/src/content/docs/zh-cn/lsp.mdx
index 59dd7082a..07466c384 100644
--- a/packages/web/src/content/docs/zh-cn/lsp.mdx
+++ b/packages/web/src/content/docs/zh-cn/lsp.mdx
@@ -3,7 +3,7 @@ title: LSP 服务器
description: OpenCode 与你的 LSP 服务器集成。
---
-OpenCode 与你的语言服务器协议(LSP)集成,帮助 LLM 与你的代码库进行交互。它利用诊断信息向 LLM 提供反馈。
+OpenCode 可以与语言服务器协议(LSP)服务器集成,将诊断信息作为 agent 的反馈。
---
@@ -47,7 +47,7 @@ OpenCode 内置了多种适用于主流语言的 LSP 服务器:
| yaml-ls | .yaml, .yml | 自动安装 Red Hat yaml-language-server |
| zls | .zig, .zon | 需要 `zig` 命令可用 |
-当检测到上述文件扩展名且满足相应要求时,LSP 服务器会自动启用。
+LSP 默认关闭。启用后,当检测到上述文件扩展名且满足相应要求时,服务器会启动。
:::note
你可以将 `OPENCODE_DISABLE_LSP_DOWNLOAD` 环境变量设置为 `true` 来禁用 LSP 服务器的自动下载。
@@ -57,16 +57,35 @@ OpenCode 内置了多种适用于主流语言的 LSP 服务器:
## 工作原理
-当 opencode 打开一个文件时,它会:
+启用 LSP 且 opencode 打开文件时,它会:
1. 将文件扩展名与所有已启用的 LSP 服务器进行匹配。
2. 如果对应的 LSP 服务器尚未运行,则自动启动它。
---
+## 最佳实践
+
+LSP 可以通过语言服务器诊断帮助 agent 发现并修复问题。这对某些项目很有用,但并不总是带来净收益。
+
+语言服务器可能与项目不同步、占用较多内存、随版本或项目表现不同,并拖慢 agent 工作流。在许多项目中,更好的做法是让 agent 直接运行 lint、typecheck 或其他诊断类 CLI 工具,这样错误会进入 agent 循环,同时避免这些权衡。将这些命令记录在 `AGENTS.md` 或 skills 等指令文件中,让 agent 知道该运行什么。当你的项目能从额外的语言服务器反馈中受益时再启用 LSP。
+
+---
+
## 配置
-你可以通过 opencode 配置文件中的 `lsp` 部分来自定义 LSP 服务器。
+你可以通过 opencode 配置文件中的 `lsp` 部分来启用并自定义 LSP 服务器。
+
+要启用所有内置 LSP 服务器,请将 `lsp` 设置为 `true`。
+
+```json title="opencode.json"
+{
+ "$schema": "https://opencode.ai/config.json",
+ "lsp": true
+}
+```
+
+使用对象可以在保持内置服务器启用的同时配置覆盖项或自定义服务器。
```json title="opencode.json"
{
@@ -135,7 +154,7 @@ OpenCode 内置了多种适用于主流语言的 LSP 服务器:
### 禁用 LSP 服务器
-要全局禁用**所有** LSP 服务器,将 `lsp` 设置为 `false`:
+如果省略 `lsp`,所有 LSP 服务器都会被禁用。如果另一个配置启用了 LSP,可将 `lsp` 设置为 `false` 来禁用所有 LSP 服务器:
```json title="opencode.json" {3}
{
diff --git a/packages/web/src/content/docs/zh-cn/zen.mdx b/packages/web/src/content/docs/zh-cn/zen.mdx
index 65e009f9b..8b869500e 100644
--- a/packages/web/src/content/docs/zh-cn/zen.mdx
+++ b/packages/web/src/content/docs/zh-cn/zen.mdx
@@ -91,6 +91,7 @@ OpenCode Zen 的工作方式与 OpenCode 中的任何其他提供商相同。
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
在你的 OpenCode 配置中,[模型 ID](/docs/config/#models) 使用 `opencode/` 格式。例如,对于 GPT 5.5,你需要在配置中使用 `opencode/gpt-5.5`。
@@ -115,6 +116,7 @@ https://opencode.ai/zen/v1/models
| --------------------------------- | ------ | ------- | -------- | -------- |
| Big Pickle | Free | Free | Free | - |
| DeepSeek V4 Flash Free | Free | Free | Free | - |
+| MiMo-V2.5 Free | Free | Free | Free | - |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -122,6 +124,7 @@ https://opencode.ai/zen/v1/models
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
+| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |
@@ -168,6 +171,7 @@ https://opencode.ai/zen/v1/models
免费模型:
- DeepSeek V4 Flash Free 目前在 OpenCode 上限时免费提供。团队正在利用这段时间收集反馈并改进模型。
+- MiMo-V2.5 Free 目前在 OpenCode 上限时免费提供。团队正在利用这段时间收集反馈并改进模型。
- Nemotron 3 Super Free 目前在 OpenCode 上限时免费提供。团队正在利用这段时间收集反馈并改进模型。
- Big Pickle 是一个隐身模型,目前在 OpenCode 上限时免费提供。团队正在利用这段时间收集反馈并改进模型。
@@ -219,6 +223,7 @@ https://opencode.ai/zen/v1/models
- Big Pickle:在免费期间,收集的数据可能会被用于改进模型。
- DeepSeek V4 Flash Free:在免费期间,收集的数据可能会被用于改进模型。
+- MiMo-V2.5 Free:在免费期间,收集的数据可能会被用于改进模型。
- Nemotron 3 Super Free(NVIDIA 免费端点):根据 [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) 提供。仅供试用,不适用于生产环境或敏感数据。NVIDIA 会记录提示词和输出内容,以改进其模型和服务。请勿提交个人或机密数据。
- OpenAI APIs:请求会根据 [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data) 保留 30 天。
- Anthropic APIs:请求会根据 [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage) 保留 30 天。
diff --git a/packages/web/src/content/docs/zh-tw/go.mdx b/packages/web/src/content/docs/zh-tw/go.mdx
index 763a11307..300d2468f 100644
--- a/packages/web/src/content/docs/zh-tw/go.mdx
+++ b/packages/web/src/content/docs/zh-tw/go.mdx
@@ -56,9 +56,10 @@ OpenCode Go 的運作方式與 OpenCode 中的任何其他供應商相同。
- **MiMo-V2.5**
- **MiMo-V2.5-Pro**
- **MiniMax M2.5**
+- **MiniMax M2.7**
- **Qwen3.5 Plus**
- **Qwen3.6 Plus**
-- **MiniMax M2.7**
+- **Qwen3.7 Max**
- **DeepSeek V4 Pro**
- **DeepSeek V4 Flash**
@@ -78,20 +79,21 @@ OpenCode Go 包含以下限制:
下表提供了基於典型 Go 使用模式的預估請求次數:
-| Model | 每 5 小時請求數 | 每週請求數 | 每月請求數 |
-| ------------------ | --------------- | ---------- | ---------- |
-| GLM-5.1 | 880 | 2,150 | 4,300 |
-| GLM-5 | 1,150 | 2,880 | 5,750 |
-| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
-| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
-| MiMo-V2.5 (≤ 256K) | 2,150 | 5,450 | 10,900 |
-| MiMo-V2.5-Pro | 1,290 | 3,225 | 6,450 |
-| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
-| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
-| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
-| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
-| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
-| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
+| Model | 每 5 小時請求數 | 每週請求數 | 每月請求數 |
+| ----------------- | --------------- | ---------- | ---------- |
+| GLM-5.1 | 880 | 2,150 | 4,300 |
+| GLM-5 | 1,150 | 2,880 | 5,750 |
+| Kimi K2.5 | 1,850 | 4,630 | 9,250 |
+| Kimi K2.6 | 1,150 | 2,880 | 5,750 |
+| MiMo-V2.5 | 30,100 | 75,200 | 150,400 |
+| MiMo-V2.5-Pro | 3,250 | 8,150 | 16,300 |
+| MiniMax M2.7 | 3,400 | 8,500 | 17,000 |
+| MiniMax M2.5 | 6,300 | 15,900 | 31,800 |
+| Qwen3.7 Max | 950 | 2,390 | 4,770 |
+| Qwen3.6 Plus | 3,300 | 8,200 | 16,300 |
+| Qwen3.5 Plus | 10,200 | 25,200 | 50,500 |
+| DeepSeek V4 Pro | 3,450 | 8,550 | 17,150 |
+| DeepSeek V4 Flash | 31,650 | 79,050 | 158,150 |
預估值是基於觀察到的平均請求模式:
@@ -100,10 +102,11 @@ OpenCode Go 包含以下限制:
- DeepSeek V4 Pro — 每次請求 750 個輸入 token、82,000 個快取 token、290 個輸出 token
- DeepSeek V4 Flash — 每次請求 790 個輸入 token、68,000 個快取 token、280 個輸出 token
- MiniMax M2.7/M2.5 — 每次請求 300 個輸入 token、55,000 個快取 token、125 個輸出 token
-- Qwen3.5 Plus — 每次請求 410 個輸入 token、47,000 個快取 token、140 個輸出 token
+- Qwen3.7 Max — 每次請求 420 個輸入 token、66,000 個快取 token、200 個輸出 token
- Qwen3.6 Plus — 每次請求 500 個輸入 token、57,000 個快取 token、190 個輸出 token
-- MiMo-V2.5 — 每次請求 1000 個輸入 token、60,000 個快取 token、140 個輸出 token
-- MiMo-V2.5-Pro — 每次請求 350 個輸入 token、41,000 個快取 token、250 個輸出 token
+- Qwen3.5 Plus — 每次請求 410 個輸入 token、47,000 個快取 token、140 個輸出 token
+- MiMo-V2.5 — 每次請求 830 個輸入 token、71,500 個快取 token、295 個輸出 token
+- MiMo-V2.5-Pro — 每次請求 790 個輸入 token、86,000 個快取 token、305 個輸出 token
您可以在 **console** 中追蹤您目前的使用量。
@@ -137,6 +140,7 @@ OpenCode Go 包含以下限制:
| MiMo-V2.5-Pro | mimo-v2.5-pro | `https://opencode.ai/zen/go/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| MiniMax M2.7 | minimax-m2.7 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| MiniMax M2.5 | minimax-m2.5 | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
+| Qwen3.7 Max | qwen3.7-max | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.6 Plus | qwen3.6-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
| Qwen3.5 Plus | qwen3.5-plus | `https://opencode.ai/zen/go/v1/messages` | `@ai-sdk/anthropic` |
diff --git a/packages/web/src/content/docs/zh-tw/lsp.mdx b/packages/web/src/content/docs/zh-tw/lsp.mdx
index aa3af3288..32e1f0507 100644
--- a/packages/web/src/content/docs/zh-tw/lsp.mdx
+++ b/packages/web/src/content/docs/zh-tw/lsp.mdx
@@ -3,7 +3,7 @@ title: LSP 伺服器
description: OpenCode 與您的 LSP 伺服器整合。
---
-OpenCode 與您的語言伺服器協定(LSP)整合,協助 LLM 與您的程式碼庫進行互動。它利用診斷資訊向 LLM 提供回饋。
+OpenCode 可以與語言伺服器協定(LSP)伺服器整合,將診斷資訊作為 agent 的回饋。
---
@@ -47,7 +47,7 @@ OpenCode 內建了多種適用於主流語言的 LSP 伺服器:
| yaml-ls | .yaml, .yml | 自動安裝 Red Hat yaml-language-server |
| zls | .zig, .zon | 需要 `zig` 指令可用 |
-當偵測到上述檔案副檔名且滿足相應要求時,LSP 伺服器會自動啟用。
+LSP 預設關閉。啟用後,當偵測到上述檔案副檔名且滿足相應要求時,伺服器會啟動。
:::note
您可以將 `OPENCODE_DISABLE_LSP_DOWNLOAD` 環境變數設定為 `true` 來停用 LSP 伺服器的自動下載。
@@ -57,16 +57,35 @@ OpenCode 內建了多種適用於主流語言的 LSP 伺服器:
## 工作原理
-當 OpenCode 開啟一個檔案時,它會:
+啟用 LSP 且 OpenCode 開啟檔案時,它會:
1. 將檔案副檔名與所有已啟用的 LSP 伺服器進行比對。
2. 如果對應的 LSP 伺服器尚未執行,則自動啟動它。
---
+## 最佳實踐
+
+LSP 可以透過語言伺服器診斷幫助 agent 發現並修復問題。這對某些專案很有用,但不一定總是帶來淨收益。
+
+語言伺服器可能與專案不同步、佔用較多記憶體、隨版本或專案表現不同,並拖慢 agent 工作流程。在許多專案中,更好的做法是讓 agent 直接執行 lint、typecheck 或其他診斷類 CLI 工具,這樣錯誤會回到 agent 循環,同時避免這些取捨。將這些指令記錄在 `AGENTS.md` 或 skills 等指示檔中,讓 agent 知道該執行什麼。當您的專案能從額外的語言伺服器回饋中受益時再啟用 LSP。
+
+---
+
## 設定
-您可以透過 OpenCode 設定檔中的 `lsp` 部分來自訂 LSP 伺服器。
+您可以透過 OpenCode 設定檔中的 `lsp` 部分來啟用並自訂 LSP 伺服器。
+
+要啟用所有內建 LSP 伺服器,請將 `lsp` 設定為 `true`。
+
+```json title="opencode.json"
+{
+ "$schema": "https://opencode.ai/config.json",
+ "lsp": true
+}
+```
+
+使用物件可以在保持內建伺服器啟用的同時設定覆寫項或自訂伺服器。
```json title="opencode.json"
{
@@ -135,7 +154,7 @@ OpenCode 內建了多種適用於主流語言的 LSP 伺服器:
### 停用 LSP 伺服器
-要全域停用**所有** LSP 伺服器,將 `lsp` 設定為 `false`:
+如果省略 `lsp`,所有 LSP 伺服器都會被停用。如果另一個設定啟用了 LSP,可將 `lsp` 設定為 `false` 來停用所有 LSP 伺服器:
```json title="opencode.json" {3}
{
diff --git a/packages/web/src/content/docs/zh-tw/zen.mdx b/packages/web/src/content/docs/zh-tw/zen.mdx
index 0cb5a4575..8574a557c 100644
--- a/packages/web/src/content/docs/zh-tw/zen.mdx
+++ b/packages/web/src/content/docs/zh-tw/zen.mdx
@@ -95,6 +95,7 @@ OpenCode Zen 的運作方式和 OpenCode 中的其他供應商一樣。
| Grok Build 0.1 | grok-build-0.1 | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Big Pickle | big-pickle | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| DeepSeek V4 Flash Free | deepseek-v4-flash-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
+| MiMo-V2.5 Free | mimo-v2.5-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
| Nemotron 3 Super Free | nemotron-3-super-free | `https://opencode.ai/zen/v1/chat/completions` | `@ai-sdk/openai-compatible` |
OpenCode 設定中的 [模型 ID](/docs/config/#models) 會使用 `opencode/`
@@ -120,6 +121,7 @@ https://opencode.ai/zen/v1/models
| --------------------------------- | ------ | ------- | -------- | -------- |
| Big Pickle | Free | Free | Free | - |
| DeepSeek V4 Flash Free | Free | Free | Free | - |
+| MiMo-V2.5 Free | Free | Free | Free | - |
| Nemotron 3 Super Free | Free | Free | Free | - |
| MiniMax M2.7 | $0.30 | $1.20 | $0.06 | $0.375 |
| MiniMax M2.5 | $0.30 | $1.20 | $0.06 | $0.375 |
@@ -127,6 +129,7 @@ https://opencode.ai/zen/v1/models
| GLM 5 | $1.00 | $3.20 | $0.20 | - |
| Kimi K2.5 | $0.60 | $3.00 | $0.10 | - |
| Kimi K2.6 | $0.95 | $4.00 | $0.16 | - |
+| Qwen3.7 Max | $2.50 | $7.50 | $0.50 | $3.125 |
| Qwen3.6 Plus | $0.50 | $3.00 | $0.05 | $0.625 |
| Qwen3.5 Plus | $0.20 | $1.20 | $0.02 | $0.25 |
| Grok Build 0.1 | 1.00 | $2.00 | $0.20 | - |
@@ -174,6 +177,7 @@ https://opencode.ai/zen/v1/models
免費模型:
- DeepSeek V4 Flash Free 在 OpenCode 上限時提供。團隊正在利用這段時間收集回饋並改進模型。
+- MiMo-V2.5 Free 在 OpenCode 上限時提供。團隊正在利用這段時間收集回饋並改進模型。
- Nemotron 3 Super Free 在 OpenCode 上限時提供。團隊正在利用這段時間收集回饋並改進模型。
- Big Pickle 是一個隱身模型,在 OpenCode 上限時免費提供。團隊正在利用這段時間收集回饋並改進模型。
@@ -226,6 +230,7 @@ https://opencode.ai/zen/v1/models
- Big Pickle: 在免費期間,收集到的資料可能會用於改進模型。
- DeepSeek V4 Flash Free: 在免費期間,收集到的資料可能會用於改進模型。
+- MiMo-V2.5 Free: 在免費期間,收集到的資料可能會用於改進模型。
- Nemotron 3 Super Free(NVIDIA 免費端點):依據 [NVIDIA API Trial Terms of Service](https://assets.ngc.nvidia.com/products/api-catalog/legal/NVIDIA%20API%20Trial%20Terms%20of%20Service.pdf) 提供。僅供試用,不適用於正式環境或敏感資料。NVIDIA 會記錄提示詞與輸出內容,以改進其模型與服務。請勿提交個人或機密資料。
- OpenAI APIs: 請求會依據 [OpenAI's Data Policies](https://platform.openai.com/docs/guides/your-data) 保留 30 天。
- Anthropic APIs: 請求會依據 [Anthropic's Data Policies](https://docs.anthropic.com/en/docs/claude-code/data-usage) 保留 30 天。
diff --git a/patches/gcp-metadata@8.1.2.patch b/patches/gcp-metadata@8.1.2.patch
new file mode 100644
index 000000000..8b7667e29
--- /dev/null
+++ b/patches/gcp-metadata@8.1.2.patch
@@ -0,0 +1,14 @@
+diff --git a/build/src/index.js b/build/src/index.js
+--- a/build/src/index.js
++++ b/build/src/index.js
+@@ -323,6 +323,10 @@ async function isAvailable() {
+ if (process.env.DEBUG_AUTH) {
+ console.info(err);
+ }
++ // Promise.any() rejects with AggregateError when neither metadata host
++ // is available. This is expected outside GCP, not a warning condition.
++ if (err instanceof AggregateError)
++ return false;
+ if (err.type === 'request-timeout') {
+ // If running in a GCP environment, metadata endpoint should return
+ // within ms.
diff --git a/sdks/vscode/package.json b/sdks/vscode/package.json
index c15da8685..f425328f3 100644
--- a/sdks/vscode/package.json
+++ b/sdks/vscode/package.json
@@ -2,7 +2,7 @@
"name": "opencode",
"displayName": "opencode",
"description": "opencode for VS Code",
- "version": "1.15.10",
+ "version": "1.15.11",
"publisher": "sst-dev",
"repository": {
"type": "git",
diff --git a/sst-env.d.ts b/sst-env.d.ts
index 02ba732ef..9f6a5db31 100644
--- a/sst-env.d.ts
+++ b/sst-env.d.ts
@@ -153,6 +153,7 @@ declare module "sst" {
}
"STRIPE_WEBHOOK_SECRET": {
"type": "sst.sst.Linkable"
+ "value": string
}
"Stat": import("@cloudflare/workers-types").Service
"StatsDatabase": {
@@ -344,4 +345,4 @@ declare module "sst" {
}
import "sst"
-export {}
+export {}
\ No newline at end of file