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CC Switch-style token consumption statistics for the DeepSeek Harness Web GUI: per-request usage log, real-consumption hero, request-time-bucketed trend chart, per-model peak/off-peak list pricing, per-project and per-model stats, and account balance.
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A searchable, sortable model picker for the DeepSeek Harness Web UI — provider groups, favorites, live per-task cost, prices and context windows.
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Windows XP Luna desktop theme for the DeepSeek Harness web GUI: floating window manager with taskbar and desktop icons, Explorer-style workspace/session browser, native directory picker, search and the Luna token palette.
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DeepSeek Harness bundle plugin: makes the existing bash tool run Git Bash on Windows and disables pwsh (Reasonix-style, token-frugal)
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Real-time token consumption HUD for DeepSeek Harness: a sleek tech-style panel showing live token usage, context pressure and cost estimates across sessions
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DeepSeek Harness plugin: a sidebar "today's usage" card that pops a token usage dashboard (today / 7 / 30 days, 30-day per-model stacked chart, model ranking with usage share, conversation stats). Data comes from the session corpus only (idempotent rebuild, no double counting), persisted across restarts.
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Third-party DSH WebUI enhancement plugin: custom backgrounds, theme colors, prompt presets, token visibility, and manual context compaction.
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DSH web plugin: a usage statistics panel with per-day token trend, GitHub-style activity heatmap, cache hit-rate curve and per-model / per-provider breakdowns, replicating the reasonix usage stats feature.
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WebUI-managed encrypted credentials for DeepSeek Harness: one file, plaintext until a password is set, then AES-256-GCM ciphertext under an Argon2id-derived key with SHA3-256 fingerprints; per-request decryption, unlock lockout, leak-guard output redaction, and shipped-code integrity self-checks.
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Per-model token usage, cost estimation and DeepSeek account balance for the DeepSeek Harness Web UI.
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OpenTelemetry and Langfuse observability exporter for DeepSeek Harness: turn/step/tool/LLM spans, token and cost metrics, and sanitized LLM prompt/completion capture from the session/event stream, with async batching, bounded offline buffering, and retry with backoff.
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蓝色大肥鱼 · DeepSeek 峰谷提醒:北京时间「梁文峰/梁文谷」实时播报、切换前提前提醒、省 token 小贴士、自由拖动(纯前端,兼容 blue-fantasy 皮肤风格)
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DeepSeek Harness usage dashboard with model, provider, workspace, cache, balance, and CSV insights
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唯稳律(Weiwen's Law)通用因果引擎(白箱呈现)—— DeepSeek Harness (Cordis) 插件实现
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任务完成时播放提示音并弹出小通知(页面内 toast + 后台时系统通知),按结果状态着色(完成/阻塞等待反馈/中断/失败),支持按操作系统选择音效预设、三状态独立音效,附带一句话小结(recap)与运行统计(时长/tokens/步骤)。纯浏览器方案,零系统依赖,跨 Windows/macOS/Linux。
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Auditable vision and cross-platform Computer Use runtime for DeepSeek Harness with source-preserving evidence.
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DSH plugin: auto-fill metadata (context length, output cap, display name, input modalities) for custom-provider models from the Model Metadata Registry (models.dev).
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Tuning Engines CLI, MCP server, and Python agent runtime adapters for governed model, agent, skill, and MCP workflows. Fine-tune open-source LLMs, run inference, manage datasets/evaluations, and connect LangGraph or Temporal while Tuning Engines handles policy, audit, usage, and token economics.
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Per-session billing plugin for DeepSeek Harness: token buckets, cache hit rate, and peak-aware cost in the session header + a price-table settings page
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DeepSeek Harness (DSH) web GUI plugin: a draggable liquid-glass floating card showing DeepSeek API balance, cumulative spend and token usage in the top-right corner.
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DeepSeek Harness plugin: real-time DeepSeek API balance and usage timeline (cost / tokens / request count), rendered in a settings page.
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DSH 模型代理插件:按模型走代理(Clash 等)+ 失败自动重试,设置页实时生效。
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Enhanced ACP server for DeepSeek Harness: block-level streaming, usage/stat telemetry (cache hit rate, token speed, input/output tokens, context length, turns, tool timing), model & reasoning-effort switching, and permission-preset control over the ACP wire (Zed-friendly)
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便携式 GitHub 连接插件:在对话框左下角一键让 DeepSeek 等 AI 连接你的 GitHub 账号(OAuth 设备流 / Personal Access Token),连接后 AI 可通过 github_api 工具直接操作你的 GitHub。