dsh-account-usage
DeepSeek Harness web-GUI plugin: a Settings「账户」page showing DeepSeek platform balance/usage (daily cost chart, per-model requests & tokens, selectable time range) and the OpenCode Go 5h/weekly/monthly quota with reset times.
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DeepSeek Harness web-GUI plugin: a Settings「账户」page showing DeepSeek platform balance/usage (daily cost chart, per-model requests & tokens, selectable time range) and the OpenCode Go 5h/weekly/monthly quota with reset times.
DeepSeek Harness plugin: learning agentic router — rule + UCB + LinUCB + k-NN experts under an EXP3 meta-selector, with a durable quality-reward flywheel, REAL model switching via the session request-header precedence chain, and STEP-LEVEL routing (v1.5.0)
DeepSeek Harness (cordis) client plugin: a right-side session stats panel showing average cache-hit rate, session cost, runtime, request count and cumulative tokens (DeepSeek pricing).
Real-time DeepSeek API usage: balance, token usage, request counts and estimated cost — a Web UI dock plus a model tool.
Aggregated web-search provider for DeepSeek Harness: one prioritized queue over AnySearch / TinyFish / Tavily / Brave / Exa / Firecrawl / Jina / SerpApi / Serper, multiple API keys per entry, ordered fallback per request.
DSH plugin — Hermes-style Mixture-of-Agents request aggregator: router → parallel reference advisors → aggregator stream, with dual-provider failover (official + OpenCode Go) and V4P triple-gate cost guard.
Replay real DeepSeek Harness turns against Standard, Minimal, Anchored, or plugin candidates with frozen request-surface evidence
DeepSeek Harness plugin: generate_ui — the model turns a request (+ data) into an A2UI document rendered as an interactive surface in the chat, generated through dsh's own model service (valuz-genui core)
/code-review slash command for DeepSeek Harness — multi-agent review of pull requests and local code, with configurable confidence scoring
Real-time attention alerts for DeepSeek Harness: a global banner plus flashing workspace entries when the agent is blocked (approval request / sandbox denial), with an audible chime and OS-level notifications for new blockers.
Browser audio alert for human-attention events: approval requests, ask-user questions, and finished turns, with per-trigger sounds configurable through the audio-alert settings namespace
DSH (DeepSeek Harness) web plugin: a draggable whale floating widget showing per-request token cost, session/total spend, and the official DeepSeek account balance
VS Code (from a code-server release) inside DSH Web and Desktop: right-sidebar tab with a floating-ball fallback, driven by the plugin's own launcher over the in-process VS Code server (lib/launcher.mjs). Two serving modes: loopback port (default) or same-origin mount on DSH's own webServer (/code-server, protected by ctx.connection.requestRejection). No code-server Node layer, no argon2, no C++ toolchain.
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.
Long-task gatekeeper for DeepSeek Harness: detects one-shot mammoth requests, asks whether to plan first, and scaffolds plan.md + a capped goal before the agent starts
DSH Skill MCP Manager for DeepSeek Harness Desktop: manage MCP servers and Skills from Settings, publish compact capability descriptions, and progressively load each MCP server's tools only into the requesting session. Dual-face dsh plugin, no DSH source changes.
Autonomous (auto) mode permission classifier for DeepSeek Harness: a Claude-Code-auto-mode-like classifier over tools/pre-execute and approval/request, a selectable 'auto' permission preset, LLM semantic judge, git checkpointing, agent discipline guidance, and a web control page in Settings → Plugins.
Agent loop rate limiter — prevents TPM/RPM limit violations by intercepting the LLM streaming pipeline and adding adaptive delays between requests
Automatic model routing for DeepSeek Harness: a virtual `smart` model classifies every request by difficulty (hard / normal / easy) and by vision need, then delegates to the models you already configured in Settings → Models. 内置智能路由:三级难度 + 视觉自动路由,模型从「设置-模型」已配置模型中选取,虚拟 smart 模型零配置接入。
Outbound LLM request header modification for DeepSeek Harness (DSH): client-identity header presets (Codex / Claude Code / opencode), per-request dynamic headers, X-Stainless fingerprint stripping, URL rewriting and Anthropic body patching at the fetch transport layer.
DeepSeek Harness host bundle that implements slashx.request.v1 and slashx.response.v1
HTTP/API debugging toolset for DeepSeek Harness: http_request, curl_parse, request_history
Minimal-anchored agent preset for DeepSeek Harness: first request keeps the real Minimal tool pair, promotion unlocks the full Standard catalog with a one-shot background-jobs notice
LLM pre-review for sandbox-escalation approvals: an independent-context LLM gate answers sandbox escalation requests before they reach the user, falling back to the user on any failure.