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dsh-her-eyes

Model Inference Updated 2026.08.14

Run the following command in DeepSeek Harness:

dsh plugin install huashenglian/dsh-her-eyes

Paste the following prompt into your AI chat to install this plugin:

In DeepSeek Harness, install the plugin using the command dsh plugin install huashenglian/dsh-her-eyes; the full source repository is at https://github.com/huashenglian/dsh-her-eyes.

About this plugin

In AI-driven applications, vision-language models (VLMs) are essential for image analysis, but unstable API endpoints can lead to service disruptions. The dsh-her-eyes plugin, designed for DeepSeek Harness, addresses this issue with an automatic failover mechanism, ensuring high availability for image analysis tools and eliminating the need for manual switching when APIs fail.

The core strength of this plugin lies in its analyze_image tool, which is registered on the global tools registry and can be invoked in any session. It supports primary and backup VLM API endpoints (compatible with OpenAI formats), automatically switching to the backup when the primary API fails consecutively beyond a set retry count, thus maintaining uninterrupted analysis tasks. Additionally, the plugin offers an auto-saving settings page where users can edit configurations—such as API endpoints and model selections—instantly without manual saves, and it can fetch model lists from endpoints, streamlining management significantly.

dsh-her-eyes is ideal for anyone needing reliable image analysis integration within DeepSeek Harness, including AI developers, researchers, and enterprise teams. Whether you're building vision-based AI applications or extending Harness capabilities, this plugin provides a stable, user-friendly solution that lets you focus on innovation rather than infrastructure maintenance.

Use Cases

  • When the primary VLM API is unstable, automatically switch to the backup endpoint.
  • Developers needing quick configuration of image analysis settings.
  • Seamlessly invoking the analyze_image tool in AI sessions.

Best For

  • AI developers and researchers.
  • Enterprise teams building vision AI applications.
  • DeepSeek Harness users extending functionality.