DeepSeek Harness Plugin Hub

发布与管理完整 Harness Profiles,发现适合你的插件。

探索

插件目录环境预设文档中心动态

社区

发布插件联系我们报告问题

相关链接

Plugin Hub GitHubDeepSeek Harness 官方项目系统状态隐私说明
© 2026 DeepSeek Harness Plugin HubPowered byPaxTech

独立、非官方社区项目,与 DeepSeek 官方无隶属、授权或背书关系。

DeepSeek Harness Plugin Hub
ProfilesPlugins分类动态文档登录管理 Profiles
ProfilesPlugins分类动态文档登录
← Plugins
P

@deepinfra/dsh-provider-deepinfra

Provider Deepinfra

DeepSeek Harness 的 DeepInfra 提供商:通过 DeepInfra 的 OpenAI 兼容 API 提供实时模型目录和流式聊天补全。

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:deepinfra/dsh-provider-deepinfra#6eabbb5186e91834f23fa5c93b271c7646f31ea4
README兼容性版本

兼容性与来源证明

Provider Deepinfra 以 @deepinfra/dsh-provider-deepinfra 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。

DSH 兼容范围
*
运行环境
any
发布来源
github
Registry 更新时间
2026/10/21

版本

0.1.0stable
2026/10/21

相关插件

正在加载相关插件…

最新版
0.1.0
DSH
*
HMR
重启进程
Tree shaking
未声明可安全裁剪
解包体积
未提供
文件数
未提供
Surface
any
许可证
MIT
发布源
github
GitHub
★ 0
周下载
0
最近提交
2026/10/21
查看源码 ↗
README Badge

点击下方 Badge 复制 Markdown,粘贴到 README 即可。

这是你的 Plugin?认领权益 · 优先安全扫描

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 →
报告问题

相关插件

继续浏览 models-usage 分类下经过校验的插件。

Experimental Cot Translation Bundle@deepseek-ai/dsh-experimental-cot-translation-bundle扩展推理的实验性机器翻译Whale Widgetdsh-whale-widgetDSH Web 界面右下角的 DeepSeek 余额小鲸鱼挂件:余额/今日已用/峰谷定价、自定义泡泡点击序列(文本/余额/今日/峰谷/图片/随机语句与并列加权选择)、逐行样式与字体、悬浮快捷编辑、音效与每轮消耗、自定义角色/动图/音效、吸附与翻转自定义Our Free Model@ebony-vinyl/dsh-our-free-modelOur Free Model — 在 dsh 里装上这个插件即可,无需登录、注册或填 API Key,就能使用包括 DeepSeek V4.1 Flash、Kimi K3 在内的前沿模型,桌面端另有 EAC 协付渠道;2.0 起接入 LobsterAI、Qoder、TRAE、Cline、Loomy、Raccoon、MiniMax、ZCode、Gemini 十个账号渠道(原有匿名免费通道保留)(登录、账号池、积分领取、本地 OpenAI 网关与局域网转发、数据看板与运行日志),六页毛玻璃界面统一呈现。Usage@linxin666/dsh-usage用于 dsh Web GUI 的使用统计插件:检测各提供商的余额和编程套餐配额,并实时记录令牌使用情况;侧边栏 Settings 行上方显示紧凑的价格概览卡片

README

DeepInfra provider for DeepSeek Harness

Use DeepInfra models from DeepSeek Harness (dsh). The plugin registers a deepinfra provider route and streams over DeepInfra's OpenAI-compatible chat-completions API.

  • Live model catalog. Models come from GET https://api.deepinfra.com/v1/openai/models, so new DeepInfra models appear without a plugin update. Only chat models are listed.
  • Real model facts. Each model reports its own context window, image input (vision), and reasoning-effort levels. Compaction timing and the model picker use these values, so nothing has to be typed into settings.
  • Tool calls, reasoning, and images. Parallel tool calls, reasoning_content (also sent back on later turns so thinking models can continue a tool loop), and image input on vision models.
  • Prompt caching. The DSH session id goes out as prompt_cache_key, so repeated turns reuse their cached prefix.
  • No conflict with your own routes. It adds a route beside llm-pi-ai and does not modify it.

Install

Needs Node ≥ 22.15 and a DeepInfra API token (https://deepinfra.com/dash/api_keys).

dsh plugin --profile web add github:deepinfra/dsh-provider-deepinfra
export DEEPINFRA_API_KEY=...   # or store it from the web Models page
dsh web

Pick a DeepInfra model in the model picker, or make one the default:

# $DSH_HOME/profiles/<profile>/cordis.patch.yml
- id: agent-default-model
  config:
    provider: deepinfra
    model: deepseek-ai/DeepSeek-V4-Flash

Configuration

FieldDefaultMeaning
baseURLhttps://api.deepinfra.com/v1/openaiOpenAI-compatible API root
apiKeyEnvDEEPINFRA_API_KEYCredential reference resolved for each request through the DSH credential service, or from the environment when the composition has none
- id: provider-deepinfra
  config:
    apiKeyEnv: MY_DEEPINFRA_TOKEN

Behavior

  • The catalog is cached for 10 minutes. If the listing is unreachable, the last good listing is served, or a small built-in list if there was never one, so the route never comes up empty. A model id missing from the listing (for example, a private deployment) can still be requested; its context window is reported as unknown rather than guessed.
  • Without an API key the picker lists no DeepInfra models, because every request would fail.
  • Reasoning: models DeepInfra tags reasoning_effort offer Off, Low, Medium, High; models tagged only reasoning offer Off/On (none/high on the wire). The choice goes out as reasoning_effort, and leaving it unset keeps the model's own default. Some models, such as DeepSeek-V4.1-Flash, do not think unless you turn it on.
  • HTTP failures map to DSH failure codes: 401 → INVALID_CREDENTIAL, 402 or quota text → QUOTA, 429 → RATE_LIMIT (with Retry-After), context-overflow 400 → CONTEXT_WINDOW_EXCEEDED, 5xx → SERVER. dsh-llm-retry retries the transient ones.
  • Images go inline as base64 data URLs, scaled to ~4 MP and 1 MiB each. When one request's images exceed 20 MiB, DSH is asked to offload the oldest ones.

Development

npm install
npm test

The tests include a contract check: every GenerateOptions field declared by the installed @deepseek-ai/dsh-llm must have an entry in REQUEST_FIELD_DISPOSITION (lib/request.js). When DSH adds a request field, the test fails until the field is handled or deliberately ignored.

License

MIT