dsh-image-reader

Give a text-only DeepSeek Harness agent the ability to read images directly: one model-facing read_image tool that asks any OpenAI-compatible vision endpoint about an image by its workspace path.

Why

DeepSeek Harness is "everything is a plugin". This bundle mounts a single tool so the model can look at a screenshot, diagram, or photograph and answer questions about it, instead of only ever reasoning over text.

Verification status

• Verified locally: npm run typecheck, npm run build, and npm test (16 tests) all pass.
• Not yet verified: a real end-to-end read against a live vision endpoint. The request/response logic is covered by a mocked-fetch unit test, but the plugin has not been smoke-tested inside a running dsh profile against a real multimodal model. Do that once with a real VISION_API_KEY before relying on it.

Install

git clone https://github.com/zcXie777/dsh-image-reader.git
cd dsh-image-reader
npm install
npm run build          # lib/ is not committed; build once after cloning
cd ..
dsh plugin --profile web add "$PWD/dsh-image-reader"
dsh plugin --profile headless add "$PWD/dsh-image-reader"
dsh --profile web --dump-config | grep image-reader

Restart a running Web profile after installing.

Configure

provider.baseUrl and provider.model are required; the plugin never assumes a vendor. Override them in the profile patch row with the same id:

- id: image-reader
  config:
    provider:
      baseUrl: https://api.openai.com/v1
      model: gpt-4o-mini
      apiKeyEnv: VISION_API_KEY
    lang: zh
    timeoutMs: 60000
    maxImageBytes: 10485760
    allowedDirs: []

Set the key in the environment before starting the profile:

export VISION_API_KEY=sk-...

Use

In a conversation, point the model at an image path and ask:

read_image image="screenshot.png" query="What error is shown in this dialog?"
read_image image="diagram.png"

Configuration fields

Field	Default	Contract
provider.baseUrl	— (required)	OpenAI-compatible chat/completions base URL