dsh-standardcompute
DeepSeek Harness 的标准计算提供商：一条兼容 OpenAI 的路由，配备成本路由器和直接模型固定。
插件会安装到这里；不确定时保持 web。
npx -y @deepseek-ai/dsh plugin --profile web add github:henrikdukefoss/dsh-standardcompute#4dd3399fc236380456e8b87aa9bd6e7471dd89a1Standardcompute 以 dsh-standardcompute 发布，当前版本为 0.1.0。Plugin Hub 会校验它的 manifest，并保存精确安装来源，便于复现安装结果。
点击下方 Badge 复制 Markdown，粘贴到 README 即可。
验证 package.json 声明的 GitHub 仓库，即可管理这个公开页面。认领后，Hub 会优先安排当前版本的安全扫描，并在通过后公开展示结果。
认领这个 Plugin →A DeepSeek Harness (dsh) plugin that adds Standard Compute as a model provider.
Standard Compute is an OpenAI-compatible API (https://api.stdcmpt.com/v1) with one key for
many models. Its standardcompute model is a router: for each request it picks a model and
provider, sending routine steps to cheaper models and harder ones to stronger models. You can also
pin one exact model by id.
This package is configuration only. Requests go through dsh's own @deepseek-ai/dsh-llm-pi-ai
adapter; the bundle adds one route to it. There is no code that runs on your machine besides
dsh itself.
A provider route named standardcompute with three models in the picker:
| Model id | What it is |
|---|---|
standardcompute | The router. Picks the model per request. Text and images. |
deepseek/deepseek-v4-pro | Pinned DeepSeek V4 Pro. Text. |
anthropic/claude-sonnet-5.5 | Pinned Claude Sonnet 5.5. Text and images. |
Any other id from GET https://api.stdcmpt.com/v1/models works too: add it on
Settings → Models (edit the Standard Compute provider, Fetch available models) or in your
profile's cordis.patch.yml.
Requires dsh 0.2.0-rc.1 or newer and Node.js ^22.19.0 || >=24.
From the release tarball (no npm account or build step needed):
dsh plugin --profile web add https://github.com/henrikdukefoss/dsh-standardcompute/releases/latest/download/dsh-standardcompute.tgz
Or straight from GitHub:
dsh plugin --profile web add github:henrikdukefoss/dsh-standardcompute
In the desktop app or Web UI you can paste either spec into Plugins → Add plugin.
Then restart the profile (dsh web) and give it a key. Create one at
standardcompute.com/dashboard, then either:
open Settings → Models, edit Standard Compute, paste the key and save (stored
write-only in $DSH_HOME/.credentials.yaml), or
export it before starting dsh:
export STANDARDCOMPUTE_API_KEY=...
Pick Standard Compute (router) in the composer's model menu. Selecting it also makes it the default for new sessions.
Check what the bundle added without starting anything:
dsh --profile web --dump-config # shows "# == @deepseek-ai/dsh-base, patched by dsh-standardcompute"
You send model: "standardcompute". The gateway looks at the request and picks a model and an
upstream provider for it; routine steps go to cheaper models and harder steps to stronger ones. A
pinned id such as anthropic/claude-sonnet-5.5 skips that choice and always uses that model.
Images are accepted on the router; it chooses a vision-capable model when a request carries one.
Reasoning: this bundle declares no reasoning levels, so dsh sends none and the reasoning setting
on your Standard Compute dashboard applies. If you want dsh's Effort menu instead, declare the
levels on a model (dsh then sends reasoning_effort, which overrides the dashboard setting for
that request):
- id: standardcompute
name: Standard Compute (router)
contextWindow: 1000000
input: [text, image]
reasoningEfforts:
low: low
medium: medium
high: high
Standard Compute is a monthly plan with a fixed compute budget, not pay-per-token. When the
plan's budget is used up, new requests fail with HTTP 402 until the plan renews or you change
plans. Requests already running finish, and nothing is billed on top of the plan. In dsh a 402
shows up as a failed request on the standardcompute route; switch to another provider in the
model menu if you need to keep going. Plans and budgets: standardcompute.com.
A Cordis patch replaces a row's whole config, and your profile's own cordis.patch.yml is
applied after plugin bundles. So if that file already configures llm-pi-ai (for example because
you added a provider by hand before installing this plugin), your file wins and the
standardcompute route does not appear. Two ways to fix it:
standardcompute: block from this package's cordis.patch.yml
under providers: in your profile's llm-pi-ai entry, orstandardcompute, base URL https://api.stdcmpt.com/v1, protocol OpenAI Chat Completions,
model standardcompute.Adding providers on the Models page after installing this plugin is fine: dsh's config editor
writes the complete current provider list, standardcompute included, into your profile.
- id: llm-pi-ai
config:
providers:
standardcompute:
displayName: Standard Compute
apiKeyEnv: STANDARDCOMPUTE_API_KEY
api: openai-completions
baseURL: https://api.stdcmpt.com/v1
compat:
supportsDeveloperRole: false
maxTokensField: max_tokens
models: [standardcompute, deepseek/deepseek-v4-pro, anthropic/claude-sonnet-5.5] # abbreviated
apiKeyEnv is a credential reference, not a key. Nothing secret is stored in this package.
MISSING_CREDENTIAL: no key found. Save it on Settings → Models or export STANDARDCOMPUTE_API_KEY.AUTH: 401 Invalid API key: the key is wrong or revoked. Create a new one on the dashboard.More setup notes and how this compares with a DeepSeek key or OpenRouter: Best API for DeepSeek Harness.
npm install
npm test # manifest and patch checks
DSH_BIN=$(command -v dsh) npm test # also installs into a temp DSH_HOME and checks --dump-config (needs pnpm)
npm run check:models # every bundled model id is still listed by /v1/models (public, no key)
npm run pack:check # what would ship
Publishing to npm (npm publish) runs the tests first via prepack.
This plugin is maintained by Standard Compute. It is not affiliated with or endorsed by DeepSeek.