@dttxorg/deepseekeyes
Auditable vision and cross-platform Computer Use runtime for DeepSeek Harness with source-preserving evidence.
AI 분석
为 DSH 提供视觉验证和跨平台自动操作能力。适合需要 Agent 执行图形界面交互和视觉审计任务的用户。
설치
$
npx -p @deepseek-ai/dsh dsh plugin --profile web add github:dttxorg/deepseekeyesConfiguration reference
The common route and automation settings are available in the GUI. Headless deployments may use the same fields in cordis.patch.yml or environment variables.
| Area | Important fields |
|---|---|
| Model routing | upstreamProvider, upstreamModel, visionProvider, visionModel |
| Vision validation | autoDetectVision, activeProbe, maxClarifications |
| Route reliability | visionRoutePriority, visionHealthCheck, visionFailoverAttempts, health TTL/cooldown and attempt retention |
| Visual budgets | baseMaxTokens, targetMaxTokens — 0 delegates the limit to the Provider |
| History bounds | historyImageLimit, historySummaryChars, browserHistoryLimit, desktopHistoryLimit |
| Browser | browserComputerUse, channel/executable, viewport, timeout and observation bounds |
| Desktop | desktopComputerUse, desktopVisualMode, desktopSemantic, desktopMaxElements, timeout, settle delay, display, PowerShell and evidence directory |
| Usage | usageStats, usageStatsPath |
See the complete Chinese configuration reference for every field and default.