@zerro223/dsh-token-usage
Token usage statistics for the DeepSeek Harness Web UI: captures per-request LLM usage from the llm/stream waterfall, persists it, and renders animated charts grouped by API (provider), model, and date.
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Token usage statistics for the DeepSeek Harness Web UI: captures per-request LLM usage from the llm/stream waterfall, persists it, and renders animated charts grouped by API (provider), model, and date.
DingTalk Stream text, image, and file channel bridge for DeepSeek Harness
Background stream listeners that wake the DeepSeek Harness agent — put a watch on a command or file and receive new lines as in-session notices. Ships a daemon host so a watcher can run unattended for weeks.
DeepSeek Harness plugin (temporary, pre-upstream-fix): automatically injects a CPython tempfile shim (PYTHONPATH -> sitecustomize) into every confined shell command on the Windows sandbox, so python/pytest tempfile use works with zero extra tools, zero model-context overhead, and zero escalation.
A calmer reading view for DeepSeek Harness: native process details, live reasoning, and clean final answers.
DSH plugin: download URLs to workspace files — path-fenced, streamed, 200MB cap
Codex-style Git workbench for DSH: workspace-scoped changes, diff, stage, commit, guarded branch operations, graph history, fetch, fast-forward pull, and upstream push through official plugin APIs.
DSH(DeepSeek Harness)图片一体化插件:粘贴图片只进对话不进模型请求(llm/stream 清洗),并注册 see_image 工具让文本模型通过任意 OpenAI 兼容视觉 API 按需看图
DSH Web GUI 插件:在设置面板中管理远程/本地 MCP Server(HTTP / stdio),支持添加、编辑、删除、测试连接,工具自动注册到 DSH。
Agent loop rate limiter — prevents TPM/RPM limit violations by intercepting the LLM streaming pipeline and adding adaptive delays between requests
DSH Feishu self-built app integration: receives text messages over the official Feishu WebSocket long connection, routes them to a DSH agent session, streams safe assistant text deltas through a Feishu CardKit card, and falls back to ordinary text when card streaming is unavailable. Acknowledges with an OK reaction (text fallback). Standalone Cordis bundle — no dsh source changes.
DSH LLM response-stream injection/pollution filter: hard-block rare Unicode scripts (Track A) and score-based disposal of control chars / protocol markers / script mixing / spam keywords (Track B) on the llm/stream waterfall.
Drop-in replacement for the Codex subagent provider that projects the app-server stream into a harness child session, so Codex runs render as ordinary subagents in the Web UI
MCP 服务器可视化配置插件:在 DSH Web 设置界面管理 MCP 服务器(stdio / streamable-http / SSE),保存即生效,无需手改配置文件。| Visual MCP server management for DeepSeek Harness: configure stdio / HTTP / SSE servers from the settings UI, hot-synced without editing config files.
DSH 模型流式缺陷修复:opencode 聚合端点上 muse-spark-1.2 / gpt-5.6-luna 不发送 finish_reason/[DONE],导致 pi-ai 每次对话结尾报 "Stream ended without finish_reason"(TRANSPORT)并触发重试。本插件在 llm/stream waterfall 上把「已输出内容但结尾被截断」的 finish 改写为正常 stop,直连即可使用,无需代理。
在每条会话轮次的统计行上方显示 OpenRouter 实际供应商(StreamLake 等)与通道模型。纯客户端插件,无服务端依赖。
Grok (xAI) subscription OAuth provider for DeepSeek Harness: one-click login in Settings → Models, token refresh, live catalog, streaming over cli-chat-proxy.grok.com
DSH harness bundle/plugin: tolerate OpenAI-compatible providers whose streaming responses omit finish_reason (e.g. the Snowflake Cortex gateway) so turns complete instead of failing with a TRANSPORT error.
Merged Feishu/Lark plugin for DeepSeek Harness: Lark channel bridge (long-connection WebSocket, parallel task sessions with streaming cards, media in/out, cloud docs) + restart recovery notification (ops).
Readable thinking display for DeepSeek Harness: live per-paragraph summaries of the reasoning stream, rendered in the chat history where the 'Think' row is, with a user-chosen summary model (thinking disabled on summary requests).
Tencent QQ Agent Mail integration for DeepSeek Harness with a Service, event stream, Web settings, OAuth, and 14 structured tools.
dsh plugin: during long agent thinking, posts a hot-news or reminder message directly into the conversation stream.
Trigger GitHub Actions workflow runs and local test pipelines, stream their logs back, and on failure hand the tail of the log to DeepSeek for a Markdown root-cause diagnosis.
Token usage statistics for DeepSeek Harness: per-channel usage, balances and plan quotas for mainstream providers, cost estimates in CNY — a full-page conversation view tab.