deepseekplugins

DeepSeek Harness plugin

dsh-vision-bridge-shiragaw

DSH profile bundle: auto-bridge images for text-only models (DeepSeek etc.) — instead of the native "model does not support images" rejection, the image is materialized into the workspace and the

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Source facts

Repository
ShiraGawaAnri/dsh-vision-bridge
Latest update
Aug 16, 2026
Category
Tools & Capabilities
GitHub stars
0
Format
plugin
Catalog evidence
Upstream dsh.bundle evidence
Evidence path
package.json#dsh.bundle
Checked against
0.1.0-rc.8
Upstream check date
2026-08-20

This evidence comes from the upstream catalog. This site has not installed, run, or security-reviewed the plugin.

Install

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Do not install or run any commands yet. Read this plugin's GitHub repository, README, and relevant source code. Then answer the questions below clearly and directly so I can decide whether it fits my needs:

1. What is this plugin, and what problem does it solve?
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GitHub: https://github.com/ShiraGawaAnri/dsh-vision-bridge
Plugin: dsh-vision-bridge-shiragaw
Author: ShiraGawaAnri

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Read the README and other files from this plugin directory before installing.

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README language

中文 | English

dsh-vision-bridge

A DSH profile bundle for sessions running models that cannot accept image input (DeepSeek and similar). Instead of the native "the current model does not support images" rejection, the plugin runs the following pipeline:

1. materializes the image into the session workspace (.dsh-vision-bridge/); 2. rewrites the user message (via the sanctioned agent/pre-step channel) into a [图片桥接] instruction carrying the image paths; 3. registers a system-prompt rule (order 150) requiring the model to call the configured vision tool (default vision_glance, fuzzy-selectable such as glance / ground / detect, matched against the agent's actual toolset) and answer from its analysis — the tool-call card and its result appear in the conversation; 4. patches llm.streamWithRegistration — the dispatch funnel behind both llm.stream and the agent loop's prepared-call path — to strip image blocks (including images nested inside tool results), replacing them with a placeholder before a text-only adapter serializes the conversation.

Sessions whose agent preset matches excluded presets (default minimal, the two-tool preset) are NOT bridged: their images are replaced with the original "model does not support images" notice text. The preset a session runs is resolved the same way DSH itself resolves it: the newest agent-preset/selected event wins, with the creation-time header as fallback.

Why the native rejection happens (DSH itself)

  • dsh-host-apiproxy's prompt RPC rejects image messages before they enter

the session when llm.resolveModelInfo().inputModalities lacks image (that is the banner shown in the UI).

  • The DeepSeek adapter throws UNSUPPORTED_CONTENT on any message containing

image blocks at serialization time.

This plugin intervenes at three layers:

LayerMechanism
AdmissionPatches llm.resolveModelInfo so bridged models report an image input modality
Current messageagent/pre-step materializes the image and injects the vision-tool instruction
HistoryPatches llm.streamWithRegistration (the shared dispatch funnel) to strip image blocks before adapter serialization

Settings (Settings → 视觉桥接)

SettingDefaultMeaning
Enable vision bridgeonOff = restore native DSH blocking entirely
Vision tool (fuzzy input)vision_glanceThe tool the model must call; fuzzy-matched against the agent's real toolset
Custom prompt (optional)emptyExtra instruction passed to the vision tool
Bridge modelsdeepseek-official*,deepseek*provider[:model] patterns, * wildcards
Excluded session presetsminimalMulti-select + extra wildcard patterns; matched sessions are NOT bridged (original blocking text)

Configuration is persisted through the DSH settings service (namespace vision-bridge); it survives restarts.

Platforms: WSL/Ubuntu and Windows

  • Image bytes are written via ctx.shell with base64 on stdin (no huge

command lines): bash (base64 -d) on Linux/WSL, PowerShell ([IO.File]::WriteAllBytes) on native Windows — the shell flavor is auto-detected once (Write-Output probe + resolveExecutable('pwsh') fallback).

  • Shell commands carry the session-resolved sandbox policy (like the bash

tool): danger-full-access sessions run without a sandbox backend; confined sessions run inside the workspace fence when a backend exists.

  • The vision tools themselves are native DSH tools (vision-tools skill); their

runtime already handles cross-platform execution.

Requirements

  • The session must have the vision-tools skill loaded (or another vision

plugin) so a vision tool exists in the agent's toolset; otherwise the bridge degrades to a self-heal instruction (load the skill first) or a clear notice.

  • Standard/cordis presets have the skill tool; the minimal preset does not

(it is excluded by default).

Installation

Unzip the bundle, then add it to a profile:

unzip dsh-vision-bridge.zip -d dsh-vision-bridge
dsh plugin --profile web add ./dsh-vision-bridge

(dsh plugin forwards to pnpm in the profile directory. Alternatively, copy the extracted folder into the profile's node_modules/@dsh-external/ and reconcile plugins.)

Known limitations

  • The admission patch is process-wide, so excluded sessions cannot get the

native error banner — the same reason is rendered as text instead.

  • Multiple sessions share the plugin's global effects (llm patches, pre-step

listener, system rule) while the plugin is mounted.

  • Bridged models never receive image blocks (the adapter forbids them); the

attachment stays available in the session.

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