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@lengquan88/dsh-dual-auto

Dual Auto

Dual-model Auto routing plugin: flash low-cost direct responses / pro high-cost escalation + escape-learning feedback loop + persistent interoperability

The plugin will be installed here. Keep web if you are unsure.

npx -y @deepseek-ai/dsh plugin --profile web add github:lengquan88/dsh-dual-auto#bffbf74bd115d27ef8419739505f585ea3ba16b1
READMECompatibilityVersions

Compatibility and provenance

Dual Auto is published as @lengquan88/dsh-dual-auto and currently resolves to version 0.1.2. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
any
Release source
github
Registry updated
8/24/2026

Versions

0.1.2stable
8/24/2026
0.1.1stable
8/23/2026

Related plugins

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Latest
0.1.2
DSH
*
HMR
Process restart
Tree shaking
Safe tree shaking not declared
Unpacked size
Unavailable
Files
Unavailable
Surface
any
License
MIT
Source
github
GitHub
★ 2
Weekly downloads
0
Last push
8/25/2026
View source ↗
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README

dsh-dual-auto

Dual-model auto-routing plugin for the DeepSeek Harness (dsh).

Low-cost direct / high-cost upgrade with an escape-learning closed loop.

Install

pnpm add @lengquan88/dsh-dual-auto

Enable

Add one row to your profile's cordis.patch.yml:

- insert:
    - id: dual-auto
      name: '@lengquan88/dsh-dual-auto'

Restart dsh web. The tools dual_model_route, dual_model_run, and dual_model_mark become available in every session.

Tools

ToolPurpose
dual_model_routeSix-criteria routing decision (length / context / domain coverage / rule conflict / confidence / novelty → six labels). Fingerprints that escaped once are force-upgraded.
dual_model_runDecision + real model call: direct → deepseek-v4-flash, upgrade → deepseek-v4-pro (auto-degrade to flash on failure, marked degraded). Probe tasks auto-validate against a gold set — wrong direct answers trigger escape learning.
dual_model_markMark the quality of a direct result. correct=false learns the fingerprint and rewrites the disk log marker; the same fingerprint is force-upgraded next time.

Persistence

State persists to output/dsh_router_{fingerprints,stats}.json and dsh_router_decision_log.jsonl — interoperable with the project's Python dao/model_router.py (v2 dict fingerprints load directly).

Links

  • npm: https://www.npmjs.com/package/@lengquan88/dsh-dual-auto
  • Source mirror (atomgit): https://atomgit.com/guaikepa/zhonghua/tree/main/dsh-dual-auto

License

MIT