dsh-image-base64
DeepSeek Harness 插件：在视觉请求前将图像转码为适合 Base64 的格式（PNG），修复 LM Studio 等网关拒绝非 PNG/JPEG/GIF 数据 URL 并显示“'url' field must be a base64 encoded image.”的问题。
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:pureexe/dsh-image-base64#68abe65b03ec53bd306d08df8105fc58678f4f03Image Base64 以 dsh-image-base64 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 plugin that fixes:
This turn failed 400 "'url' field must be a base64 encoded image."
INVALID_REQUEST
when a vision-capable model (e.g. meta/muse-glimmer) is served through an
OpenAI-compatible gateway that validates the image MIME type strictly, such
as LM Studio.
See deepseek-ai/deepseek-harness#4615 for the full discussion. The short version:
dsh-attachment-local's request-image quality ladder re-encodes an image
as image/webp whenever the source has an alpha channel (JPEG has no
alpha channel to fall back to). A pasted screenshot or a PNG with
transparency very often has one.image/png,
image/jpeg, and image/gif inside a base64 data: URL. It rejects
image/webp (and anything else) at the protocol layer with 400, before
the request reaches the model.dsh-llm-pi-ai forwards whatever mediaType the attachment store gives
it straight into the request — there's no format negotiation between the
two, so the mismatch reaches LM Studio unchanged.It wraps the attachment store's readImageRequest() (the call
dsh-llm-pi-ai makes to get the exact bytes/MIME type that go into the
request) and transcodes the result to image/png with sharp whenever its
media type isn't in an accepted list (image/png, image/jpeg, image/gif
by default). Everything already in an accepted format passes through
untouched — only the images that would otherwise be rejected pay the
transcode cost.
From your DSH profile directory (or via dsh plugin --profile <name> add,
which forwards to pnpm inside the profile):
dsh plugin --profile <name> add /home/pakkapon/dsh-image-base64
Then list it in that profile's package.json under dsh.profile.bundles:
{
"dsh": {
"profile": {
"bundles": [
"@deepseek-ai/dsh-base",
"@deepseek-ai/dsh-web-app",
"dsh-image-base64"
]
}
}
}
Restart the profile (or let it pick it up automatically if
patchReload: live is set) to load it.
Accepted media types default to [image/png, image/jpeg, image/gif] (LM
Studio's whitelist). To widen or narrow that, target the plugin's id from
your own patch layer (profile cordis.patch.yml or $DSH_HOME/cordis.patch.yml):
- id: image-base64-compat
config:
acceptedMediaTypes: [image/png, image/jpeg, image/gif, image/webp]
acceptedMediaTypes instead of
relying on the default.MIT