dsh-image-vision
Seamless image understanding for DeepSeek Harness: lets pure-text models read pasted/dropped images and Feishu/Lark images via a configurable vision model, without touching the host.
安装
$
npx -p @deepseek-ai/dsh dsh plugin --profile web add github:VeryInt/dsh-image-vision说明文档
阅读完整 README ↗Configuration
Image recognition needs a vision model provider. Add an OpenAI-compatible
vision endpoint in the DSH Models page (or ~/.dsh/settings.yaml), and — this
is the part the Models page does not show — declare input: [text, image] on
the model entry.
Example settings.yaml:
llm-pi-ai:
providers:
modelscope:
displayName: ModelScope
apiKeyEnv: MODELSCOPE_API_KEY
api: openai-completions
baseURL: https://api-inference.modelscope.cn/v1
models:
- id: Qwen/Qwen3-VL-8B-Instruct
name: Qwen3-VL-8B
input: [ text, image ]
siliconflow:
displayName: 硅基流动
apiKeyEnv: SILICONFLOW_API_KEY
api: openai-completions
baseURL: https://api.siliconflow.cn/v1
models:
- id: Qwen/Qwen3-VL-32B-Instruct
name: Qwen3-VL-32B-Instruct
input: [ text, image ]
Then provide the API key in ~/.credentials.yaml or as an environment
variable: