starefinger/dsh-llm-qwen-local 预览 preview

starefinger/dsh-llm-qwen-local

面向 DeepSeek Harness(dsh)的 LLM 适配器插件:驱动由 OpenAI 兼容服务的本地部署 Qwen3.8-27B 模型。支持按模型多模态开关、完全可配置的推理档位、请求图像投影,以及中英双语 Web 设置页。

Project Overview项目介绍

A DSH adapter plugin that connects a locally deployed Qwen model (e.g. Qwen3.8-27B) served by vLLM via its OpenAI-compatible endpoint. Core capabilities: a per-model multimodal switch and fully configurable reasoning effort levels. Use it when running Qwen offline or behind a private vLLM server. Caveat: the multimodal declaration is unverified — true on a text-only endpoint fails mid-turn, false on a vision endpoint is silent.

DSH 适配器插件,连接本地 vLLM 部署的 Qwen 模型(如 Qwen3.8-27B)OpenAI 兼容端点。核心能力:每模型多模态开关、推理强度完全可配置。适用于需离线或私有部署 Qwen 的场景。注意:多模态声明不会验证,文本端开启视觉会中途失败。MIT,社区维护。

Pre-install check安装前体检Compatibility · Security兼容性 · 安全性 1 warning1 项注意
  • Only 4 stars - very few users, little community feedback星标只有 4,几乎没人在用,遇到问题缺少社区反馈
DSH walks through these 9 checksDSH 会逐条核对这 9 项

Compatibility兼容性

  • DSH, Node, OS and profile requirementsDSH 版本 / Node 版本 / 操作系统 / profile 是否满足要求
  • External dependencies and runtimes (Electron / Python / Docker, ...)外部依赖与运行时(Electron / Python / Docker 等)是否齐备
  • Conflicts with installed plugins: command names, skill / tool names, ports, duplicate MCP registration与已装插件是否冲突:命令名、skill / tool 重名、端口占用、重复 MCP 注册

Security安全性

  • Repo matches the facts registered here; archived or abandoned?仓库是否与页面登记一致,是否归档或长期停更
  • Safety of preinstall / install / postinstall and install.sh / setup.ps1preinstall / install / postinstall 与 install.sh、setup.ps1 是否安全
  • curl|bash, download-then-execute, obfuscation, unrelated domains → stop immediatelycurl|bash、下载即执行、混淆代码、无关域名 → 立刻停止
  • Typosquatting or unmaintained packages among the new dependencies新增依赖里有没有 typosquatting 或无人维护的包
  • Requested permissions vs. what the feature actually needs申请了哪些权限、是否超出功能所需(filesystem / network / shell / clipboard)
  • Any sudo / admin requirement, plus uninstall and rollback是否要求 sudo / 管理员权限,以及卸载与回滚方式

Anything uncertain must be marked unknown with a note on how to confirm it. This site's signal screen is a static snapshot, not a security audit.拿不准的必须标「未知」并说明要我怎么确认。本站的信号筛查是静态快照,不能替代安全审计。

Or use CLI install (for developers)或使用命令行安装(适合开发者)

CLI Install命令行安装

dsh plugin --profile web add dsh-llm-qwen-local

把 starefinger/dsh-llm-qwen-local 加入你的 DSH 配置(web profile)即可启用。

READMEREADME

dsh-llm-qwen-local

English | 简体中文

Qwen 本地 (vLLM) settings page

DeepSeek Harness LLM adapter plugin for a locally deployed Qwen model (e.g. Qwen3.8-27B) served by vLLM behind its OpenAI-compatible /v1/chat/completions endpoint.

v0.4.1 · exact compatibility target: DSH 0.1.2-rc.1 · MIT · community-maintained and not a DeepSeek or Qwen product.

✨ New in v0.4.1 — settings-page fixes; maxRequestImageBytes route cap removed

  • No more focus loss while typing a reasoning-effort id (or a model id) — list rows now key off a stable row identity instead of the id text, so typing no longer remounts the row.
  • Shorter, uniform field labels — long explanations moved into input placeholders; model-card columns are width-aligned.
  • maxRequestImageBytes (the per-request total image byte cap) is removed from config, schema, and the settings page. Every image is inlined once it fits its per-image budget (imageMaxPixels / imageMaxBytes are unchanged); an oversized request is refused by the backend LLM service against its own input limits. A leftover value in an existing settings.yaml is silently ignored — no migration needed.
  • "Discover models from endpoint" now probes with the key currently in the API Key field — a freshly typed key works without saving first.
  • The model list can be emptied — models no longer requires at least one entry: save an empty list and the route stays mounted but dormant (no selectable models), then re-populate via "discover models from endpoint" or a manual add.

✨ New in v0.4.0 — zero runtime @deepseek-ai dependencies

The published plugin no longer depends on any @deepseek-ai package at runtime — no schemastery, dsh-llm, dsh-settings, dsh-attachment, dsh-launch-environment, or cordis. Its only runtime dependencies are the MIT-licensed eventsource-parser and Node.js builtins.

Why: the plugin now reproduces every DSH seam it touches (adapter contract, failure snapshots, brand ids, API-key/attribution/launch-env helpers, the settings-namespace Config surface) as small local modules under src/harness/ plus a frozen, hand-owned configuration surface. It loads against the host's live services without importing the packages that define them — the same dependency posture as the dsh-llm-ollama reference implementation.

What does not change: external plugin behavior is identical — provider route qwen-local, settings namespace llm-qwen-local, the settings page, model discovery, and the wire dialect. The DSH compatibility target stays 0.1.2-rc.1. The @deepseek-ai packages remain dev-only type pins (their import type references are erased from the build), so existing installs keep working as-is.

Upgrading: drop-in — just dsh plugin --profile web add dsh-llm-qwen-local@0.4.1 (or your pinned snapshot tag). No configuration changes required.

Showing the opening section of the README — the full document lives in the repository以上为 README 开头摘要,完整文档在仓库内 · View the full README on GitHub →在 GitHub 查看完整 README →

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