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dsh-subagent-vision

Enables text-only DeepSeek sessions to process images by delegating vision tasks to a configured subagent with automatic paste-to-path conversion.

VisionDeveloper ToolsBrowser & WebSecurity & PolicyRemote Execution
0GitHub Stars0ForksUpdated2026-09-16

Install

$ dsh plugin --profile web add dsh-subagent-vision

Plugin Overview & Capabilities

AI-assisted organization based on the public repository snapshot. The content must be grounded in source evidence and does not replace compatibility or security verification.

source-grounded
dsh-subagent-vision is a DeepSeek Harness bundle plugin that allows text-only main chat models to handle image inputs without switching models or sessions. When an image is pasted or dropped in a text-only session, the browser client uploads the file to a private temporary path at send time and appends the file path to the prompt. The main agent then delegates image interpretation to a dedicated vision-capable subagent model via the subagent_vision tool, returning the resulting text description back into the main conversation.

Key Capabilities

  • Registers the subagent_vision tool to delegate image reading tasks to a designated vision model
  • Provides send-time image-to-path conversion for text-only chat sessions to prevent image admission errors
  • Supports native drag-and-drop and paste intake with composer thumbnail previews
  • Offers dynamic vision route configuration and one-click input modality declarations via harness settings
  • Enforces magic-byte verification and a 25 MB upload cap for uploaded temporary image files

Useful For

  • Reading screenshots or diagrams inside a text-only DeepSeek conversation without manual copy-pasting
  • Extracting text, code, or structured summaries from pasted images using specialized vision models like Qwen
  • Seamless multimodal query handling in DSH Web UI without session resets or manual model switching

Who It Fits

  • DeepSeek Harness web profile users operating text-only primary LLMs
  • Developers needing programmatic and interactive image analysis delegation within DSH

Documented Limitations

  • Parent model only receives textual interpretations from the subagent and never sees the raw image data directly
  • Vision subagents are one-shot and settled; continuous multi-turn dialogue with the subagent is not supported directly through this tool
  • Requires a vision-capable secondary model configured in DeepSeek Harness settings
  • Pasted images create temporary files on the host disk that require OS-level cleanup

DSH Compatibility

Version-specific runtime evidence collected by DSH Plugin. A missing result means we have not tested that combination yet.

Not tested yetNo runtime compatibility tests have been published yet.

Security Signals

Objective signals discovered from package metadata and source inspection. These are not a guarantee that a plugin is safe.

Dependency Counts

package.json declares 1 runtime, 1 development, 7 peer, and 0 optional dependencies.

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Dsh Bundle Declared

package.json declares DSH bundle metadata.

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License Declared

GitHub reports the repository license as MIT.

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Package Manifest Available

A root package.json was captured and can be inspected by the registry.

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Source Available

Public GitHub source metadata is available for this registry snapshot.

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Source & Registry Notes

Public provenance, Registry classification, and the latest source check for this entry, kept separate from runtime verification.

Source repository
niuniuaba/dsh-subagent-vision
Registry source
GitHub · dsh-plugin topic
Registry classification
Plugin Bundle
Source checked
9c02042 · 2026-09-19

This project is independently indexed from public source information. DSH Plugin is not affiliated with DeepSeek or the plugin author. Always check the author repository before installation.

Repository Activity

GitHub stars
0GitHub stars
Forks
0
Open issues
0
Last commit
2026-09-16
Last release
No release detected
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