dsh-weiwen-law
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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唯稳律(Weiwen's Law)通用因果引擎(白箱呈现)—— DeepSeek Harness (Cordis) 插件实现
Model-based permission approval (approve-for-me) for DeepSeek Harness: an approval/request answerer backed by a separate reviewer model
Cross-session memory plugin for DSH — auto-extraction, semantic recall, scheduled maintenance, LLM-powered consolidation, context explosion prevention, global Soul identity
Anime maid whale desktop pet for the DeepSeek Harness (dsh) Web UI: real-time LLM dialogues, 8 mood animations, satiety reserve system, persistent speech bubble, and mobile-adapted cupboard UI.
LLM-assisted auto approval with timeout fallback for DeepSeek Harness
Guarded context compaction for DeepSeek Harness (dsh): the LLM proposes, deterministic guards dispose — eager per-atom shrink (extract/summary/false under verbatim guards) + lazy reference-graph eviction (0-LLM) + byte-exact recall from an append-only log. 压缩率精确兑现,历史永不销毁。
On-demand vision for text-only DSH sessions: images become markers, and a vision_describe tool sends only image + question to an OpenAI-compatible vision model
Tencent CodeBuddy plugin for DeepSeek Harness (dsh).
Whitelist / blacklist / any-error retry policy for DeepSeek Harness, driving DSH's built-in LLM request retry mechanism.
Model Pro — DSH plugin for llm-pi-ai provider lifecycle: create/edit, custom headers, enable/disable with uninstall-restore safety, smart routing, composites, observability, and per-model connectivity tests
OpenCode Zen provider adapter for DSH harness LLM seam
A loop dock for DeepSeek Harness: one harness, multiple agent loops.
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.
ChangeProof - change-relevance + evidence-freshness quality plugin for DeepSeek Harness (DSH)
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)
DeepSeek Harness (dsh) plugin: run work as a small crew of role agents (product manager, researcher, architect, engineer, test engineer, code engineer, QA, code reviewer, security reviewer, doc reviewer) that talk through files on disk, with the PM as the only voice to the user.
DeepSeek Harness LLM provider backed by the locally authenticated Codex App Server
DeepSeek Harness 第三方订阅接入插件:登录第三方订阅账户即可使用订阅内的模型(当前支持 OpenAI / ChatGPT 订阅,更多订阅服务规划中;支持图片理解与对话内图片生成、编辑)
DeepSeek Harness LLM provider for Codex models using managed ChatGPT OAuth
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.
Detect which conversation model your DeepSeek Harness account is served: score probe conversations' live chain-of-thought, cancel old-model probes in seconds, keep confident catches.
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.
Inject an x-session-id HTTP header onto every DeepSeek Harness LLM provider request, carrying the harness session id of that exact call; also covers whitelisted gateway fetches during tool execution.
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