dsh-web-search-ddg
aooyoo
Zero-token DuckDuckGo search provider for the DeepSeek Harness (DSH) web seam — local headless browser, no API key, no m…
PROJECT TOPICS
PROJECT README
Model Router & Cost Optimizer for DeepSeek Harness (dsh). Answers simple questions directly on the cheap model (zero prefix, no cache tax), degrades gracefully on transient provider failures, and shows live per-session token / cache-hit / cost figures right under the composer.
The harness is in developer preview and iterates quickly — expect compatibility-breaking changes.
中文说明见 README.zh.md。
SIMPLE / AGENTIC, one word, 64-token cap, thinking off). The judge also sees the last assistant reply, so context-dependent follow-ups (它 / 这个 / 继续 …) are never misrouted to a context-free answer.⚡ 快速回答 / Quick answer · <model> marker (matched to the question language), the main model never runs for it, and no subagent sessions, relay cards, or toasts are created. The main session's model and prefix cache are never touched./router auto|off (plus the route_model tool) simply enable or disable quick-answering for the session. There is no per-request model flipping to configure.RATE_LIMIT, SERVER, TIMEOUT, EMPTY_RESPONSE) degrade the turn to the cheap model and retry once; anything else delegates to the provider's own retry policy.miss/out/cache%/≈$ line, a QA×N quick-answer counter (with a brief inline highlight on each direct answer), and a per-model usage breakdown. Reactively driven by useProjection; the toggle reuses the built-in commands remote — no custom wire protocol. UI strings are localized through the harness locale service.Quick answers land as ordinary chat messages with a ⚡ 快速回答 / Quick answer marker:

The router dock under the composer — Auto / 关闭 toggle, current model, live token / cache-hit / cost figures, and the per-model usage breakdown:

The dsh CLI must be on your PATH. If you only ever ran the harness through npx, dsh is not installed and you will get zsh: command not found: dsh — install it globally first:
npm install -g @deepseek-ai/dsh
pnpm add -g @deepseek-ai/dsh also works if your pnpm global bin dir is on PATH (otherwise pnpm asks you to run pnpm setup first). Alternatively skip the global install and prefix the commands below with npx @deepseek-ai/dsh ….
# 1. add the bundle to your web profile (pnpm-backed; the built lib/ artifacts
# are committed in this repo, so no build script runs at install time).
# Prefer a release tag (#v0.7.2); #main tracks the latest commit.
dsh plugin --profile web add "github:tianji-qingtian/dsh-model-router#v0.7.2"
# 2. restart the harness with that profile — `add` only edits the profile
# files; a running instance does not hot-load the new bundle
dsh --profile web
After the restart the ⚡Router panel appears under the composer in the Web UI, and the /router command plus the route_model tool are registered once the host half loads. Verify under Settings → Plugins that dsh-model-router is listed.
A dynamic (session-only) prototype with the same name may already be running inside one session; it is unrelated to the installed bundle and disappears with the harness process.
| Piece | Mechanism |
|---|---|
| Step classification | agent/pre-step waterfall — strong-keyword fast path, then a zero-prefix flash judge call (SIMPLE / AGENTIC) with the last assistant reply for reference detection |
| Quick answers | agent/pre-step rejects the step after a zero-prefix llm.stream on the cheap model; the question + answer are appended to the session log (user/message + a forged step/start…assistant/message…step/end envelope) — the main model never runs |
| Drift healing | agent/request restores the agent's configured model whenever no routing decision applies (a forged header or stale persisted header never sticks) |
| Failure fallback | agent/request-error waterfall — returns { kind: 'retry' } after flagging the turn; the retry re-enters agent/request and lands on the cheap model |
| Stats | sessionProjections.register('modelRouter', …) folded over request/header, command/run, and assistant/message events (usage + mrtr-ans- quick answers) |
| Dock UI | conversation.composer.dock slot + standard useProjection prop + locale service for zh/en text |
| Manual control | /router auto|off command (commands service) + route_model tool (tools registry) |
The cheap/strong model pair is discovered at runtime from the provider's catalog (llm.listModels): ids matching flash|chat|mini|turbo|haiku|lite|air|nano are cheap candidates, pro|reasoner|opus|sonnet|max|ultra|premium|r1 are strong. With the stock DeepSeek adapter that is deepseek-v4-flash ↔ deepseek-v4-pro.
The price table is a model-class estimate (USD per 1M tokens) living at the top of src/index.js:
const PRICE_TABLE = [
{ test: CHEAP_RE, input: 0.27, output: 1.10, cacheHit: 0.07 },
{ test: STRONG_RE, input: 0.55, output: 2.19, cacheHit: 0.14 },
]
Edit it to match your account's actual pricing; the panel always labels the number with ≈. Cache hits are billed at the cache-hit price, not the input price.
Counting semantics: harness TokenUsage fields are disjoint — inputTokens already excludes cache reads (DeepSeek reports prompt_tokens = hit + miss; the adapter subtracts hits out). The panel therefore shows miss … · cache N% where the hit rate is hit / (hit + miss); a healthy long conversation typically sits in the high 90s.
command/run events, so it survives restarts), while the transient-failure degradation flag is process-local and resets with the harness.useProjection-driven stats reflect the whole session log — history recorded before installation is included, which is intentional.request/header for attribution) into the session log. This satisfies the current session invariants (the step is appended before the real step starts), but it is the most harness-coupled part of the plugin — worth re-checking after harness upgrades.MIT
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