
Sorwcyra/ds-vision-plugin
10Last commit Aug 14, 2026
ds-vision-plugin DSH plugin
ds-vision-plugin is an installable DeepSeek Harness bundle for text-only DeepSeek workflows. It reads verified Web attachments, races configured vision models or OCR, and injects generated text before the agent continues.
How to install the ds-vision-plugin DSH plugin
dsh plugin --profile web add file:/absolute/path/to/ds-vision-pluginCopying does not run this command. Review the repository and version before use.
Data source
Snapshot date: Aug 15, 2026
manifest-valid
What the ds-vision-plugin DSH plugin can do
- Converts pasted or dropped Web-composer images to text automatically.
- Races four default vision models and uses the first valid result.
- Routes OCR requests to Baidu OCR or local Tesseract, with VLM fallback.
- Provides vision_analyze for workspace files and vision_status diagnostics.
- Supports custom OpenAI-compatible, local Ollama, and LM Studio routes.
- Offers YAML hot reload, caching, timeouts, size limits, and configurable visible or strict failure behavior.
Where the ds-vision-plugin DSH plugin fits
- Ask a text-only DeepSeek model about screenshots or pasted images.
- Extract text from image attachments through OCR routing.
- Improve availability or latency with concurrent vision-provider requests.
- Analyze images stored in an allowed workspace path.
- Use private relays or local vision/OCR runtimes for image conversion.
Who the ds-vision-plugin DSH plugin is for
- DeepSeek Harness Web users
- Developers configuring multimodal agent workflows
- Users of text-only DeepSeek model routes
- Teams needing configurable vision and OCR providers
ds-vision-plugin DSH plugin limitations
- Requires Node.js 22.19+ or 24+.
- Cloud channels receive image bytes when configured.
- The default four-way race can issue four provider requests per uncached image.
- Automatic conversion defaults to the deepseek-official route filter.
- allowedRoots protects explicit file paths, not Web attachments.
- Provider channels lacking required keys are skipped.
Objective checks
These signals come from public metadata scans. They are not a security certification.
- info
dependency counts
package.json declares 2 runtime, 8 development, 5 peer, and 0 optional dependencies.
- info
dsh bundle declared
package.json declares DSH bundle metadata.
- info
license declared
GitHub reports the repository license as MIT.
- info
package manifest available
A root package.json was captured and can be inspected by the registry.
- info
source available
Public GitHub source metadata is available for this registry snapshot.
ds-vision-plugin DSH plugin alternatives
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Persona-driven UX walkthrough plugin for DeepSeek Harness (DSH) - scans React + TypeScript source code for UX issues, pinpoints them, and suggests fixes.
ds-vision-plugin DSH plugin questions
What is the ds-vision-plugin DSH plugin?
ds-vision-plugin is a project included in the current DSH plugin snapshot. This page organizes repository metadata and reviewed notes, but you should still inspect the upstream repository before running it.
How do I install the ds-vision-plugin DSH plugin?
The page shows the install command captured from the source record. Copying does not run it, so confirm the package, profile, and version against upstream documentation first.
Which DSH profile does ds-vision-plugin use?
The snapshot records web as the ds-vision-plugin profile. DSH conventions can change quickly, so verify the manifest and README before installation.
Is ds-vision-plugin compatible with the current DSH release?
The source data does not include a verified compatibility matrix. Check recent commits, releases, and DSH breaking changes, then test in a profile you can roll back.
What should I do if ds-vision-plugin fails to load?
Check the install command, selected profile, dependency logs, and Cordis startup output first. Keep the exact error string, then compare it with this site's fix pages and upstream issues.
What are the closest alternatives to ds-vision-plugin?
Related plugins on this page come from the current snapshot and are only candidates. Compare capabilities, maintenance activity, installation method, and limitations before choosing one.