Skip to content
dsh.fish
Bundle

dsh-image-reader

Give DeepSeek Harness agents the ability to read images directly: a model-facing read_image tool that answers questions about an image through any OpenAI-compatible vision endpoint.

Source
zcXie777
stars
2 stars
License
MIT
Updated
Updated 10 days ago

Readme

# dsh-image-reader

Give a text-only [DeepSeek Harness](https://github.com/deepseek-ai/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

```sh
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:

```yaml
- 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:

```sh
export VISION_API_KEY=sk-...
```

## Use

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

```text
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 |
| `provider.model` | — (required) | Multimodal model name |
| `provider.apiKeyEnv` | `VISION_API_KEY` | Environment variable holding the API key |
| `lang` | `zh` | Answer language: `zh` or `en` |
| `timeoutMs` | `60000` | Whole-request deadline, 1000–600000 ms |
| `maxImageBytes` | `10485760` | Encoded-byte limit per image |
| `allowedDirs` | `[]` | Extra realpath-resolved input roots; the workspace is always allowed |

## Security

- Inputs resolve against the workspace and `allowedDirs` through `realpath`, so a symlink cannot escape the fence.
- Images are size-limited and extension-checked before upload.
- The key is read from the environment per call, never stored in config.

## Development

```sh
npm install
npm run typecheck
npm run build
```

## Publish

Tag the repo with the [`dsh-plugin`](https://github.com/topics/dsh-plugin) topic so it is discoverable, and publish to npm when ready.

## License

MIT

Install

dsh plugin --profile web add github:zcXie777/dsh-image-reader

Profile: web

  • This package builds from source on install. pnpm will ask you to allow its build script — that is permission to run the package’s code on your machine, outside the agent sandbox. Only allow sources you trust.
  • This source has no pinned commit, so a later push upstream changes what installs. Prefer pinning a commit.
Source