dsh-opencode-go-models

dsh-opencode-go-models

⛔ 已废弃（DEPRECATED）：本插件自 pi-ai 1.x 起不再需要，已停止维护。 pi-ai ≥ 1.0 自带的 scripts/generate-models.ts --strict 会在发布时生成完整、准确的 dist/providers/data/opencode-go.json（协议 / 价格 / 多模态齐全）。本插件的 catalog 格式 假设与 pi-ai 1.x 的 chat:<id> 格式不兼容，继续使用会写坏文件，且其硬编码的协议 / 价格表 已过时。请勿安装或继续使用，改用升级 pi-ai 获取最新模型清单。 迁移说明见 RELEASE.md。

DSH 插件 – 同步 OpenCode Go 套餐的模型清单，并基于精确的家族配置标记多模态（图像/视频）支持。

🌏 语言 / Language：中文 · English

⚠️ 范围声明：本插件仅覆盖 OpenCode Go 订阅套餐 （端点 https://opencode.ai/zen/go/v1）。OpenCode Zen 另有主套餐 （端点 https://opencode.ai/zen/v1），其模型清单、每 1M tokens 按量价格、 计费模式（按量付费 vs Go 的订阅制）和弃用节奏均与 Go 不同——本插件 不处理 Zen 主套餐，请勿将本插件的模型/价格数据套用到 /zen/v1。

功能

• 拉取 https://opencode.ai/zen/go/v1/models 获取最新模型列表
• 与 pi-ai 安装 catalog（data/opencode-go.json）对比，计算新增/下线模型
• 新增模型直接写入 catalog JSON（dsh 运行时经 pi-ai 包装模块在加载时 import 该 JSON，重启即生效）：
  • 协议准确：每个模型记录自带上 api 字段，按 opencode.ai 文档端点分配 anthropic-messages / openai-completions / openai-responses，绝不强制统一协议
  • 容量/价格优先取内置模板表（文档定价表 + 同族容量），未知模型回退同族/家族配置
  • 精确区分多模态模型：input: ['text', 'image'] 仅授予官方确认的视觉模型
• 原子写入遵循官方 @deepseek-ai/dsh-atomic-write：withFileLock 跨进程写锁 + writeFileAtomic（排除性临时文件 + rename 原子提交），任何失败旧文件保持完好
• 注意：catalog 在 dsh 启动时加载进内存，同步后需重启 dsh 才能看到新模型

安装与加载

从 npm 安装（推荐，已发布 dsh-opencode-go-models）

npx @deepseek-ai/dsh plugin --profile web add dsh-opencode-go-models

• 装完重启 dsh 生效（bundle 层变更）；发布包内含 cordis.patch.yml， dsh.bundle 声明随包生效，无需手工 patch

• 升级/指版本：npx @deepseek-ai/dsh plugin --profile web add dsh-opencode-go-models@<版本>

• 国内网络若等不到镜像同步，用官方源（同样经由 CLI，无需手工进目录）：

  npx @deepseek-ai/dsh plugin --profile web add dsh-opencode-go-models --registry=https://registry.npmjs.org
  

从源码安装（开发/贡献）

git clone <your-repo-url>
cd dsh-opencode-go-models
pnpm install   # 或 npm install
pnpm run build
npx @deepseek-ai/dsh plugin --profile web add /path/to/dsh-opencode-go-models

对本机已有运行实例做热加载（开发模式）

本地安装后，编辑 ~/.dsh/profiles/web/cordis.patch.yml 追加：

- insert:
  - id: dsh-opencode-go-models
    name: 'dsh-opencode-go-models'

patch 层经 HMR 热生效，无需重启；但模型列表的同步结果仍需重启 dsh（catalog 启动时加载）。

使用

在 DSH 对话中：

• 同步模型：请帮我同步 opencode-go 的模型列表
• 预览变更：请预览 opencode-go 模型同步的变更
• 查询多模态支持：kimi-k3 支持图片输入吗？
• 恢复原样：恢复 opencode-go 模型清单（撤销插件对 catalog 的全部修改）

自动同步

插件默认在加载时自动同步，但受冷却窗口节制（默认 12 小时，可配置）： 冷却期内启动零网络、零写盘；超窗才拉取线上清单比对，仅在确有差异时 写入 catalog 并提示"重启后生效"。凭据缺失/网络失败只记日志跳过，不影响插件加载。

手动同步（sync_opencode_models）始终可用，与自动同步共享同一套原子写路径； 冷却期在自动检查与手动同步后都会刷新。

调整自动同步的 patch 配置示例：

- insert:
  - id: dsh-opencode-go-models
    name: 'dsh-opencode-go-models'
    config:
      autoSync: true          # 默认 true；false 关闭自动同步
      autoSyncIntervalHours: 12   # 冷却窗口（小时）

卸载与恢复原样

官方文档（develop/basic）规定：通过 ctx 注册的监听/工具/定时器在插件卸载时会被 自动清理；需要手动管理的资源用 ctx.effect() 注册清理函数。本插件修改的是持久 文件（catalog），采用备份 + 卸载恢复方案：

• 插件首次修改 catalog 前把原文件整体备份到 opencode-go.json.dsh-backup.json （内容含 original 原文件与 ours 插件写入版本）
• 卸载时自动恢复：dispose 时检查 profiles 目录是否仍有配置文件 （cordis.patch.yml / package.json）引用本插件——patch 层被移除或依赖被删除 （真卸载）→ 把备份整体写回；HMR 重载 / 普通关停 / 换 profile（仍被引用）→ 不恢复，避免每次重启丢失已同步模型
• 随时手动恢复：恢复 opencode-go 模型清单 → reset_opencode_models 工具
• 防护：当前文件若已不含插件写入的模型 id（例如被 pi-ai 升级整体替换）→ 跳过恢复并清理备份，避免回退升级结果
• 语义说明（整体备份方案）：恢复会回退到"首次同步前"的完整文件——同步之后 的手工改动会一并回退；需要只撤销插件改动时请在恢复前自行确认

已知限制

• 同步后需重启 dsh 才能看到新模型（catalog 在启动时加载进内存）
• 升级 pi-ai 会覆盖其 data/*.json（含本插件写入的模型），升级后重新同步即可
• 未收录的未知新模型，其容量/价格/多模态等元数据取同族模型估值或保守默认值，请按厂商官方文档校准
• 文档未收录"模型 ID ↔ 端点协议"对照时按 openai-completions 兜底（/v1 端点原生 OpenAI 兼容）

---

English Version

⛔ DEPRECATED: As of pi-ai 1.x this plugin is no longer needed and is unmaintained. pi-ai >= 1.0 ships a complete, accurate dist/providers/data/opencode-go.json (generated by scripts/generate-models.ts --strict) covering all current Go models with correct protocols, pricing, and modalities. This plugin's catalog-format assumption is incompatible with pi-ai 1.x (chat:<id> keys) and its hardcoded metadata is stale. Do not install or use it — upgrade pi-ai instead. See RELEASE.md for migration details.

DSH plugin – syncs the model catalog of the OpenCode Go plan and flags multimodal (image/video) support based on accurate family configuration.

⚠️ Scope: This plugin covers only the OpenCode Go subscription plan (endpoint https://opencode.ai/zen/go/v1). OpenCode Zen also has a main plan (endpoint https://opencode.ai/zen/v1); its model list, per-1M-token usage prices, billing model (pay-as-you-go vs Go's subscription) and deprecation cadence all differ from Go's — this plugin does not handle the Zen main plan; do not apply this plugin's model/price data to /zen/v1.

Features

• Fetches https://opencode.ai/zen/go/v1/models for the latest model list
• Diffs against the pi-ai install catalog (data/opencode-go.json) and reports added/removed models
• New models are written straight into the catalog JSON (dsh imports the JSON at load time through the pi-ai wrapper module — a restart applies it):
  • Protocol-accurate: each model record carries its own api field, assigned per the opencode.ai documented endpoints as anthropic-messages / openai-completions / openai-responses — never forced onto one uniform protocol
  • Capacity/price prefer the built-in template table (documented pricing table + same-family capacities); unknown models fall back to same-family/default configuration
  • Precise multimodal marking: input: ['text', 'image'] is granted only to officially confirmed vision models
• Atomic writes follow the official @deepseek-ai/dsh-atomic-write: withFileLock cross-process write lock + writeFileAtomic (exclusive temp file + atomic rename commit); on any failure the old file stays intact
• Note: the catalog is loaded into memory at dsh startup — restart dsh after syncing to see the new models

Installation

Install from npm (recommended; dsh-opencode-go-models is published)

npx @deepseek-ai/dsh plugin --profile web add dsh-opencode-go-models

• Restart dsh after installing to take effect (bundle-layer change); the published package ships cordis.patch.yml, and the dsh.bundle declaration takes effect with the package — no manual patching needed

• Upgrade / pin a version: npx @deepseek-ai/dsh plugin --profile web add dsh-opencode-go-models@<version>

• If the mirror does not sync in time on a domestic network, use the official registry (still via the CLI, no need to go into the directory manually):

  npx @deepseek-ai/dsh plugin --profile web add dsh-opencode-go-models --registry=https://registry.npmjs.org
  

Install from source (development / contribution)

git clone <your-repo-url>
cd dsh-opencode-go-models
pnpm install   # or npm install
pnpm run build
npx @deepseek-ai/dsh plugin --profile web add /path/to/dsh-opencode-go-models

Hot-reload an existing local instance (dev mode)

After a local install, append to ~/.dsh/profiles/web/cordis.patch.yml:

- insert:
  - id: dsh-opencode-go-models
    name: 'dsh-opencode-go-models'

The patch layer hot-applies via HMR — no restart needed; but the synced model list still requires a dsh restart (the catalog loads at startup).

Usage

In a DSH conversation:

• Sync models: 请帮我同步 opencode-go 的模型列表
• Preview changes: 请预览 opencode-go 模型同步的变更
• Query multimodal support: kimi-k3 支持图片输入吗？
• Restore everything: 恢复 opencode-go 模型清单 (undoes all plugin modifications to the catalog)

Auto-sync

The plugin auto-syncs by default on load, gated by a cooldown window (default 12 h, configurable): within the cooldown, startup does zero network I/O and zero disk writes; only after the window does it fetch the online list and diff — it writes to the catalog only when there is an actual difference and then hints "restart to take effect". Missing credentials / network failures are merely logged and skipped, without affecting plugin load.

Manual sync (sync_opencode_models) is always available and shares the same atomic-write path with auto-sync; the cooldown refreshes after both the automatic check and a manual sync.

Example patch config to tune auto-sync:

- insert:
  - id: dsh-opencode-go-models
    name: 'dsh-opencode-go-models'
    config:
      autoSync: true          # default true; false disables auto-sync
      autoSyncIntervalHours: 12   # cooldown window (hours)

Uninstall & Restore

Per the official docs (develop/basic): listeners/tools/timers registered through ctx are cleaned up automatically when the plugin unloads; resources managed manually should be registered with ctx.effect(). This plugin modifies a persistent file (the catalog) and uses a backup + restore-on-uninstall scheme:

• Before its first catalog modification, the plugin backs up the original file whole to opencode-go.json.dsh-backup.json (containing original — the untouched file — and ours — the version the plugin wrote)
• Restores automatically on uninstall: on dispose it checks whether any config file in the profiles directory (cordis.patch.yml / package.json) still references this plugin — when the patch layer is removed or the dependency is deleted (a true uninstall) → the backup is written back whole; on HMR reload / normal shutdown / profile switch (still referenced) → no restore, so synced models are not lost on every restart
• Manual restore anytime: 恢复 opencode-go 模型清单 → reset_opencode_models tool
• Guard: if the current file no longer contains model IDs the plugin wrote (e.g. it was wholly replaced by a pi-ai upgrade) → skip restoring and clean up the backup instead, avoiding rolling back the upgrade
• Semantics (whole-file backup): restoring rolls back to the complete file from "before the first sync" — manual edits made after a sync are rolled back too; confirm yourself before restoring if you want to undo only the plugin's changes

Known Limitations

• Restart dsh after syncing to see the new models (the catalog loads into memory at startup)
• Upgrading pi-ai overwrites its data/*.json (including the models this plugin wrote) — just resync after upgrading
• For unknown new models not in the templates, metadata (capacity/price/multimodal) is estimated from same-family models or conservative defaults — calibrate against the vendor's official docs
• When the docs do not include a "model ID ↔ endpoint protocol" mapping, fall back to openai-completions (the /v1 endpoint is natively OpenAI-compatible)