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dsh-tianshu-tui: an interactive terminal UI plugin for the official DeepSeek Harness — streaming markdown/tool cards, 16+ themes, slash commands, session tabs, LSP diagnostics, cost tracking, self-update (`dsh plugin --profile tui add @huiliyi37/dsh-tianshu-tui`)
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Fluid streaming rendering and silky scrolling for DeepSeek Harness replies, including Markdown, code blocks, tables, and tool results.
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The Feishu UI for DeepSeek Harness (dsh) — a dsh-native plugin: live streaming cards, in-card questions & approvals, one-QR setup.
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Claude Code-style focus view for the dsh web GUI: the conversation's condensed reading surface — tool calls folded into expandable metric summaries, chat 1:1 row chrome, and streaming think rows
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把 DeepSeek Harness (dsh) 装进飞书/Lark 的 bot,扫码即用:dsh Web 可视化设置、流式卡片、项目工作区、并行任务、多角色 Agent、安全网守护。| Bridge DeepSeek Harness into Feishu/Lark with visual dsh Web settings, streaming cards, workspaces, parallel tasks, roles and a safety-net guardian.
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DeepSeek Harness plugin for multi-bot Feishu setup and streaming chat
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DeepSeek Harness plugin: paragraph-batched streaming reveals with 8 designed animations, smooth scroll-follow and a settings panel.
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NoLetMe — real-time reasoning-trajectory keyword stats for the DeepSeek Harness web chat. Tracks the We-need/Let's efficient trajectory vs the Let-me hesitant trajectory vs the The-user-wants neutral framing in the model's streaming reasoning blocks.
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Bridge DeepSeek Harness (dsh) into Feishu / Lark with streaming cards, project workspaces, approvals and scheduling
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Multi-channel IM gateway plugin for DeepSeek Harness (dsh): DingTalk / QQ / WeChat(iLink) with QR-scan binding, streaming replies, and a unified ctx.imGateway service. 为 DeepSeek Harness 提供钉钉/QQ/个人微信多 IM 通道接入。
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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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Audio/video preview viewer for dsh-better-sidebar: native playback with Range-seeking served by a dedicated streaming route
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Subagent delegation with per-call model/provider override (host) + multi-panel live streaming subagent viewer (client)
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Multi-channel IM bridge for DeepSeek Harness: Feishu, Telegram, DingTalk, Slack, Discord — persistent sessions, true streaming, slash commands
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AntV Infographic renderer for DeepSeek Harness: render AI-generated infographic fences inline with streaming, editing, and SVG/PNG export.
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Renders images, video, audio, PDF and Office documents inline in the dsh web UI through a display_file tool, streaming bytes over a signed HTTP route with range support.
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Usage (用量) deployment plugin for DeepSeek Harness (DSH): a real-time token & cost dashboard tab next to chat/trajectory, with live streaming estimates, DeepSeek official peak/off-peak pricing and OpenCode Go plan pricing, custom price table, and CSV/JSON export.
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DeepSeek Harness-native Feishu (Lark) gateway: chat with the DSH agent from Feishu via long connection, with persistent sessions, /new, Markdown replies, live streaming progress cards, native Typing reactions, click-to-answer approval / Q&A cards, and proactive push.
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Clean-room Grok Build provider for DeepSeek Harness with official CLI browser authentication
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Agent loop rate limiter — prevents TPM/RPM limit violations by intercepting the LLM streaming pipeline and adding adaptive delays between requests
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Voice input plugin for DeepSeek Harness web (China-ready): Alibaba Cloud DashScope ASR via a local bridge. Mic button in the composer, streaming recognition, cursor-aware insertion, silence auto-stop.
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Third-party DeepSeek Harness plugin: model-facing http_probe tool over a deployment-owned probe target with bounded streaming body reads and a cooperative timeout budget.
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Feishu/Lark IM channel for DeepSeek Harness: chats drive agents, answers render as streaming rich cards, approvals settle by button clicks
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Side chat panel for the DeepSeek Harness web GUI: hover-to-open hot zone, right details-column chat, model/effort controls, selection-to-send, streaming replies with collapsible reasoning and markdown tables