bauerelizabeth07139/opencode-eyes ↗★ 0

dsh-opencode-eyes

DeepSeek Harness plugin: gives a text-only model eyes. It mounts the bundled opencode-eyes MCP server, which sends an image file to StepFun's step-3.7-flash vision model and returns a detailed description, as the tool mcp__opencode_eyes__describe_image. 适合需要让纯文本模型通过工具调用来识别和描述图片的用户。

パッケージ
dsh-opencode-eyes
互換性
未検証
Harness ピア範囲
>=0.1.5-rc.1 <0.2.0-0 || >=0.2.0-rc.0 <0.3.0-0
Cordis ピア範囲
>=4.0.2
バージョン
0.1.0
ライセンス
MIT
最終更新
2026/10/08

インストール

$npx -p @deepseek-ai/dsh dsh plugin --profile web add github:bauerelizabeth07139/opencode-eyes

ドキュメント

README 全文を読む ↗

Configuration

KeyEnvironment variableDefaultMeaning
python—discoveredinterpreter that runs the server
apiKeySTEP_API_KEY(empty)StepFun credential; required by describe_image
modelSTEP_MODELstep-3.7-flashmodel id sent in the request
timeoutSecondsSTEP_TIMEOUT120the server's own HTTP timeout
maxDimensionSTEP_MAX_DIMENSION2048images are downscaled to this edge length
jpegQualitySTEP_JPEG_QUALITY85JPEG quality of the re-encoded image
toolCallTimeoutMs—300000DSH's per-call budget; keep it above timeoutSeconds
env—{}raw environment passthrough for anything else

Every field is optional and lives in the loader row. For example, in cordis.patch.yml:

- id: dsh-opencode-eyes
  name: 'dsh-opencode-eyes'
  config:
    apiKey: 'sk-...'
    toolCallTimeoutMs: 300000