dsh-router-standard
任务感知思维模式路由预设：把 DeepSeek V4 在 persona 轴上"非连续、分相变"的实测特性，
量化到稳定区（spec / react / weak），在首轮注入匹配的 persona 与工具面。
属于 dsh-routing-suite 套装，与 dsh-super-injector
（免重启运行时注入）配合开发。
📄 研究史说明：docs/statement.md（勘误声明）｜ docs/apology.md（道歉函）
当前状态（v1.19.1，2026-08-24 · 研发线，尚未发布）
Router Standard 处于「严格 workflow」研发线（以 CHANGELOG 为准，版本线文件 router-bootstrap-v34.mjs）：
- 严格阶段 workflow：完成信号驱动晋级（0→1 需澄清/计划、1→2 需计划锁定、2→3 需交付自检），
阶段 0 强制对齐（歧义先
ask_user_question、复杂任务先 todo_write）；"工具名/文本即跳级"已删除。
- 任务回显：
stageText 新增 Task: <首条真实用户消息>——模型每轮都看得清在为什么事工作，不跑题。
- 渐进披露：阶段化解锁 + 两档预放 + 直达语义 + 交付全量开放；
tools_catalog 全量索引 / tools_help 完整 schema；
已删除 all:true（无全量出口，未解锁工具不进入视野）。
- 标准模式基底：native 直调（无 PTC/run_code 包装，SDK 全量段不存在，工具面注意力税大幅下降）。
- 页面验证内置：
dev_page_check = 截图 + DOM smoke + console/pageerror/title/selector/scale；
{js:…} 模式 = 本地 JS 引擎（零外部 node 依赖）；external 证据一等公民。
- 描述 ⇄ 行为对齐：
presentation=native 自检、阶段文案只说真话、平台事实（win32 以 Git Bash 私有 shell seam 为准）。
- 主动性引导：Proactivity 常驻段（自检信号，不是停手命令）；压力感应器已退役。
配套预设：router-react（v17）/ router-spec（v10）（基于标准模式的两大执行预设，均支持首轮读图）；
router-pro 线已退役删除。完整演进：见 CHANGELOG.md 与 docs/STANDARD-PLAN.md。
【历史文档 · v0.3 时代】 Task-aware reasoning-mode router for DeepSeek Harness. One preset, two
routing modes (v0.2.0 naming), plus the measured three-band axis behind them:
| routing mode |
first request |
thinking shape |
| standard（标准路由预设） |
分类 persona（spec/react/weak）+ 完整 prompt sections + 分带首轮工具面 |
按分类带行动：react 直接产出、spec 先读后改、weak 内路由（每轮近距离引导） |
| spec（spec 路由预设） |
分类 persona（spec/react/weak）+ 完整 prompt sections |
雷霆大思考：首轮超长思维链（101K 推理 0 行动是其特征，不是缺陷） |
选择：安装两个预设之一（Router Standard / Router Spec，见 Usage）。
dev_router_status 显示当前路由模式。
This is a research artifact. It encodes a measured property of DeepSeek V4
Pro / V4 Flash: model behavior along the persona axis is not a continuum
— it collapses into a few stable regions separated by phase transitions.
The router therefore quantizes to the stable regions instead of pretending
the axis is continuously tunable.
v0.3.0 — real-assembly-chain fixes
v0.2.x shipped routing logic that was validated against bare-API probes but
was broken on the REAL DeepSeek Harness assembly chain. v0.3.0 fixes all of it,
verified against @deepseek-ai/dsh-agent-loop (0.1.0-rc.7) event ordering:
- First-turn routing actually works (issue #13): the loop claims the inbox
BEFORE assembling the system prompt, and
inbox.claim() emits the
agent-scoped agent/inbox/claimed event synchronously — the router captures
the first REAL user message there (source.kind === 'user' only), so the
first request is classified instead of unconditionally falling into weak.
(The captured text is CLASSIFIED, not fed to bandOf raw — the old capture
path silently mapped every captured message to the spec band.)
- Near-field guidance moved to
agent/pre-step (issues #34/#36/#55):
session/event never fires inside agent-plane presets (dsh-scope filters
it out of entry-local realms), so the old inbox re-append never delivered
guidance — and wherever it did fire, the next-step append forced a SECOND
model request per user message (the 2× API-call spike). The guide is now
inserted into decision.messages at agent/pre-step: same request as the
user message, near-field, cache-neutral, zero extra round-trips.
- Fixes: missing
extractText/bandOf imports in both bootstrap files
(#11) — the session/event handlers crashed with ReferenceError whenever
they did fire; sessionMode ignoring plugin-origin messages when pinning
the band; router.test.mjs import path; preset.yml YAML quoting (#53);
subagent-session skip (#5); session-selected model from
assembled.variables (#9); the RL-standard mode of the spec preset now
returns the assembly untouched after the first tool/call (#44).
- New:
router.integration.test.mjs replays the real claim → assemble →
pre-step ordering against the actual bootstrap code.
What it does
router-standard: reads the session's first REAL user message, classifies
the task (build → react / fix → spec / ambiguous → weak), and on the first
model request injects the matching persona while keeping the full prompt
sections; the first-turn core tool surface follows the band
(spec=read/edit/glob/grep, react=read/write/edit, weak=read/write/edit, each
plus the platform shell). Weak-band sessions also get a near-field routing
guide in the SAME request as every real user message.
router-spec: same routing core with the deep-think-first branding; keeps
the v0.2.0 dual-mode code path (routerMode), so a copy configured with
routerMode: standard still gets the RL-interface first turn (RL sentence +
shell/str_replace_editor) with full sections restored after the first durable
tool/call.
After the first durable tool call the full Standard catalog is exposed and the
router stops touching anything. The mode is derived from durable session
events, so resume/reload keeps it. The plan-mode prompt section is preserved,
so plan boundaries do not reset the model's focus.
The three measured behavior bands
Fine-grained probing (21 mode points × n=2, official API, reasoning_effort=max)
on V4 Pro shows behavior along the persona axis collapses into three bands:
| band |
mode |
measured behavior |
spec |
0 – 0.19 |
stable plan-collective (We trajectories, let-me ≈ 0) |
mixed |
0.2 – 0.49 |
transition trap: unstable mixing of We/The/Let |
react |
0.5 – 1.0 |
stable doer (The/Let first-person, we ≈ 0) — 11 mode values behave alike |
V4 Flash is threshold-like (0–0.5 all spec side, jumps at 0.75+). The numeric
dev_router_mode interface is kept, but it quantizes to the three bands — the
transition band is never selected automatically.
Why: dual-attractor RL policy
Evidence across projects (see docs/paper.md and docs/experiments.md):
- The same model reaches top-band scores under spec conditions on a
maintenance benchmark (Project2: minimal 99/96, anchored 98/99) and under
react/code conditions on a greenfield build task (Mario: 10/10), while the
wrong mode scores 91 / 6 respectively — a ~10-point swing from prompt
conditioning alone ("god/ghost duality").
- Persona is the dominant trigger (one-sentence swap flips the trajectory);
tool-schema surface is a secondary condition; catalog text in a user message
has no effect.
- Behavior is path-committed: once anchored, expanding the tool catalog
perturbs at most one reasoning block and never flips the mode.
- Intermediate personas are out-of-distribution (training-distribution
gap), which is the measured unstable band.
The model cannot self-route: P3 (same persona, task swap → trajectory
unchanged), P5 (router personas → doer attractor absorbs the instruction) and
P8 (domain-overlap scan) show the only internal-routing window is a WEAK
persona + few-shot routing instruction (lean, not flip; discrimination
+2.3..+3.3). There is no reward signal for switching modes mid session, and
the behavior phase transition means the model commits on the first request.
Mode selection must come from outside — a human (the "streamer"), a
heuristic classifier, or a learned router. This preset is the automated
version of that external routing.
Usage
Two presets (v0.3.0; the router-pro line was retired): install one or more under ~/.dsh/.agent-presets/:
# 标准路由预设（RL 接口还原，默认推荐）
$target = Join-Path $env:USERPROFILE '.dsh\.agent-presets\router-standard'
Copy-Item -Recurse .\preset\router-standard $target
# spec 路由预设（深度思考优先）
$target = Join-Path $env:USERPROFILE '.dsh\.agent-presets\router-spec'
Copy-Item -Recurse .\preset\router-spec $target
免重启安装（推荐）：装好 dsh-super-injector
后（见套件 scripts/install-injector.ps1），改预设代码不再需要换文件名/重启：
dev_reload_preset router-standard # 预设热更新：?v=N query 绕 ESM 缓存，新会话立即用新代码
注意事项（实测血泪）：
- ESM 缓存：loader 按 URL 缓存模块——原地覆盖文件内容不生效（改代码必须
dev_reload_preset 或换文件名）。
- 首次会话必须新开：路由模式在首个请求锁定（路径承诺），中途切 GUI 模型/
改配置不影响已运行会话。
- 子代理不路由：
parentSession 会话跳过路由层（社区 #5 修复），shell-less
子代理不再崩溃。
- 引导注入通道（v0.3.0）：近场引导走
agent/pre-step，每个真实用户消息
注入一条（weak 模式）；rc.6 起 session/event 在 standing scope 收不到事件，
旧版本引导是死的。
- 首轮真实分类（issue #3/#13）：首轮路由读
agent/inbox/claimed 的原始
消息文本并经 classifyTask 分类——首轮即真实 band（不再 weak 兜底）。
- 自举卸载：
dev_uninject_plugin --self=true 可卸载注入器自身（保留
装配链，重启自动恢复）——用于验证安装闭环。
Restart DSH (or install via the suite script for zero-touch), start a new
session, pick Router Standard (experimental) (RL-interface, think-act
loops), Router Spec (experimental) (deep-think-first, the long first-turn
chain is the point) or Router Pro (V4 Pro measured optimum).
dev_router_status — current mode, band, persona, core tools, override statedev_router_mode <spec|weak|mixed|react|0-100|0.0-1.0|auto> — explicit mode
(numeric inputs quantize to the three bands)dev_mode_subagent <spec|react|balanced> <task> — run one task in a
DIFFERENT reasoning mode inside a fresh isolated context (its own system
prompt), leaving the current trajectory untouched. Mode isolation is the
only reliable way to change modes mid-session: mid-session persona switches
invalidate the whole prefix cache, tail personas are ineffective (P6), and
the native subagent inherits this persona.
One preset, auto-matched per model. There is no Pro/Flash split to
configure: personaFor(mode, modelId) reads the session's model route and
selects the measured optimum automatically — Pro → w6c (spec sentence +
classify instruction, no anchors; 24/24 = 100% routing, P24), Flash → w7 +
recall/anti-runaway anchors (96% routing; 100% single-task completion, P23).
The model is fixed at the first request (path commitment), so the persona is
locked for the session; switching the GUI model starts a new session with the
matching configuration.
Depth-adaptive guidance (v20, thinking efficiency). Per-message guidance
is dispatched by task complexity (isComplexTask: length or architecture
keywords):
- simple tasks → fast-convergence guide (P30: 1 step, zero waste);
- complex tasks → decision-closure deep guide: "Think deeply about the
architecture, edge cases, and integration points. Do not spend reasoning
on the environment or tooling. Produce when your information is complete.
End each reasoning block with a decision or an information need." —
P30: depth +12% AND faster convergence (8.0 vs 8.3 steps), 3/3 completion.
- Rumination (environment suspicion / re-confirmation) is suppressed by the
anti-runaway anchor: measured 0.0-0.3% of reasoning tokens.
Tests
node --test router.test.mjs # 11 tests: classification, bands, personas, plan-section survival
Files
preset/agent.cordis.yml — full rc.6 Standard composition + router rowpreset/router-core.mjs — pure routing logic (zero deps, unit-testable)preset/router-bootstrap.mjs — Cordis plugin (zero external imports)router.test.mjs — unit testsdocs/paper.md — the theory + experiments write-updocs/experiments.md — full data tables
Evidence & attribution
- Trajectory trigger matrix, dual-model matrices, and the 21-point phase probe:
dsh-probe (this repo's sibling scripts live in the paper's appendix tables).
- Project2 evaluation data: xiaobright/modeltest
(V4.1b, frozen) — minimal 99/96, standard 91, PTC 92, anchored-standard 98/99.
- Two-phase anchoring preset: xiaobright/dsh-anchored-standard
(MIT). The router's first-turn anchoring is a plugin-level port of its
tool-bootstrap mechanism.
- DeepSeek Harness official
minimal preset snapshot
(sends the exact RL prompt and schemas test) — the spec persona and the
RL-alignment claim.
License
MIT. preset/agent.cordis.yml derives from the DeepSeek Harness Standard
preset (MIT); original attribution in NOTICE.
Router Standard 是 DeepSeek Harness 的一个任务感知的推理模式路由预设：它把会话的第一条真实用户消息归入某个人格区间（spec / react / weak），并为 DeepSeek V4 模型注入匹配的人格和首轮工具集。