Skip to content
dsh.fish
Bundle

dsh-auto-preset-router

Route the first prompt to one of DeepSeek Harness's four shipped Agent Presets with DeepSeek V4 Flash.

Source
yhfgyyf
stars
2 stars
License
MIT
Updated
Updated 22 hours ago

Readme

# DSH Auto Preset Router

[简体中文](README.zh-CN.md)

A DeepSeek Harness profile bundle that adds an **Auto** Agent Preset. The first
direct user prompt is classified by the fixed
`deepseek-official/deepseek-v4-flash` model, then the untouched prompt runs
under one of DSH's four shipped presets with the model selected for that
session. After mounting the target preset, an isolated second V4 Flash call
selects likely necessary installed tool and Skill names from a bounded,
JSON-framed catalog; deterministic lexical ranking is the failure fallback.
Auto appends only those bounded names. It never loads a Skill body or changes
the target preset's tool prefix.

## Routing policy

| Target | Selected for |
|---|---|
| `standard` | Web/current information, mixed non-programming work, general assistance, full tool ecosystem, or ambiguity |
| `code` | Any repository/source-code analysis or programming task, plus broad batch/parallel tool orchestration |
| `minimal` | Demanding self-contained reasoning, mathematics, or algorithmic analysis with no repository or programming work |
| `cordis` | Non-programming DSH preset/Cordis conceptual or runtime work |

The classifier uses no tools, reasoning effort `off`, temperature `0`, and a
16-token output limit. On DSH rc.1 it receives the first prompt text plus safe
attachment metadata (name, dimensions, and media type), never image bytes.
A failed or ambiguous classification falls back to `standard`.

While Auto waits for the first prompt, it mounts only DSH's official filesystem
Skill catalog provider so Web and TUI can offer user-invocable `/skill-name`
entries. Auto itself still exposes no model-facing tools; after routing, the
selected preset owns Skill loading and prompt injection.

## Install

DeepSeek Harness `0.1.1-rc.1` or a compatible later build is required.
Version 0.2.4 also supports DSH `0.1.3-alpha.2`.
The first-turn check supports both legacy `Session.events` and the
`snapshotEvents()` API used by DSH `0.1.2-rc.1`.
On releases that ship `ptc` instead of `code`, the classifier's `code` result
mounts `ptc`; the trace records `rawOutput: "code"` and `finalPreset: "ptc"`
without marking the rename as a fallback.
Legacy `code` selections also resolve to `ptc` when opening old sessions;
an explicitly installed `code` preset keeps precedence and menus are unchanged.

```sh
dsh plugin --profile web add github:yhfgyyf/dsh-auto-preset-router
dsh plugin --profile web add github:yhfgyyf/dsh-progressive-tools
dsh web
```

For a separately installed TUI profile that composes the official
`agent-presets` service, install the bundle into that profile too:

```sh
dsh plugin --profile tui add github:yhfgyyf/dsh-auto-preset-router
dsh plugin --profile tui add github:yhfgyyf/dsh-progressive-tools
dsh --profile tui
```

The bundle keeps the official roster service, contributes its package-owned
read-only preset through that roster, and sets the assembly default to `auto`.
It does not rewrite `settings.yaml`. An explicit user setting remains
authoritative; set this if needed:

```yaml
agent-presets:
  default: auto
```

After the first prompt is routed, DSH records `auto-router/classified` and then
`agent-preset/selected` before the first real turn. The classification event
is purely diagnostic and is persisted with the DSH `ignorable` envelope marker,
so a harness without this plugin can safely skip it. It contains
`classifierProvider`, `classifierModel`, `rawOutput`, `finalPreset`,
`fallbackUsed`, `errorCode`, `latencyMs`, `capabilitySelection`, `toolHints`,
and `skillHints`. The
session is then locked to the
selected preset by DSH's normal non-empty-session rule.

When at least one installed summary matches, a plugin-owned
`<auto-capability-hints>` message follows the untouched first user message. It
names at most five tools and three Skills. With `dsh-progressive-tools`, the
agent uses `search_tools`/`describe_tools` for deferred schemas; selected Skills
continue through DSH's official stable `skill(name)` loader.

## Remove

```sh
dsh plugin --profile web remove dsh-auto-preset-router
dsh plugin --profile tui remove dsh-auto-preset-router
```

Existing sessions retain the preset recorded in their durable history. A local
`$DSH_HOME/.agent-presets/auto` directory, if present, is shadowed while this
bundle is installed and is never modified. Removing the bundle removes its
roster contribution on the next process start.

## Privacy and failure behavior

The first prompt text and attachment metadata are sent to DeepSeek V4 Flash
even when the session uses a different model. Image bytes are never sent to
the classifier. The untouched multimodal prompt goes through DSH's native rc.1
attachment path after routing, so the session's selected model must genuinely
declare image input. DeepSeek's shipped Flash and Pro routes are text-only;
rc.1 adds the official `deepseek-v4-flash-vision-exp` image model. DSH refuses
the send and retains the draft until that model, or another image-capable
route, is selected. Prompts over 24,000 characters are reduced to their
beginning and end. Classifier failures route to `standard`.

## Development

```sh
npm test
npm run check
npm pack --dry-run
```

With a configured TUI profile and DeepSeek credentials, the optional live gate
runs one fresh session for each target (and creates four short session logs):

```sh
npm run test:live:tui
```

The repository uses the current DSH plugin distribution contract:
`package.json` declares `dsh.bundle.patch`, and `cordis.patch.yml` composes the
package through `dsh plugin --profile … add …`.

Install

dsh plugin --profile web add github:yhfgyyf/dsh-auto-preset-router

Profile: web

  • This source has no pinned commit, so a later push upstream changes what installs. Prefer pinning a commit.
Source