pi2dsh

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Run the Pi ecosystem's plugins on DeepSeek Harness, unmodified.

dsh plugin add pi2dsh          # once
dsh plugin add <any-pi-plugin> # then any Pi plugin, straight from npm

Why this exists

DeepSeek Harness is built on ideas worth betting on — a durable, reconstructable session log, a clean service composition, an agent loop you can actually reason about. What it does not have yet is a large plugin ecosystem: it is early, and the plugins people want on day one — web search, memory, code navigation, subagents, vision — are mostly not written for it yet.

Pi has that ecosystem already, and it is mature: hundreds of published packages, many with real users.

pi2dsh is one compatibility layer that implements Pi's public extension ABI on top of DSH's native services, so a Pi package runs on DSH as published — no fork, no patch, no per-package adapter. You install a Pi plugin the same way you install anything else in DSH, and it works.

This is deliberately a bridge, not a destination. Every capability you reach through pi2dsh is a capability DSH's own ecosystem will eventually offer natively — and when a better native plugin shows up for something you use here, you should switch to it. That would be the bridge doing its job.

Install

One engine, then whatever plugins you want:

dsh plugin --profile web add pi2dsh
dsh plugin --profile web add @kassing/pi-vision

Then restart dsh — plugins mount at startup.

Use web or headless as the profile name. DSH ships a template for exactly those two, and each includes a surface (the web app / the one-shot driver). dsh plugin --profile <any-other-name> creates a profile with no surface at all, and that profile starts up and then hangs with no diagnostic — nothing to do with pi2dsh, but easy to hit on your first install. If you want a differently named profile, add the surface bundle to its dsh.profile.bundles yourself.

That is the whole model. There is no conversion step, no generated bundle, no build. The engine discovers the Pi packages in your profile (every one is something you explicitly added) and mounts them through a single bridge instance: one model directory, one login, one credential store, one upgrade unit.

Day-to-day:

Two installer messages worth knowing:

• ERR_PNPM_IGNORED_BUILDS — pnpm blocks dependency build scripts by default. Run pnpm approve-builds inside $DSH_HOME/profiles/web, or set the listed packages to true under allowBuilds in that profile's pnpm-workspace.yaml. Then re-run the add. (This is your call to make, so the bridge does not work around it.)
• An add silently installs an older version right after a release — pnpm's minimumReleaseAge skips versions published very recently. Pin it: dsh plugin add pi2dsh@<version>.

Requires Node.js 22.19+ and DeepSeek Harness.

Walkthrough: give a text-only model eyes

The clearest example of what the bridge buys you. DeepSeek models are text-only, so DSH cannot send them an image. The Pi ecosystem has a plugin for exactly this — it hands the image to a vision model you choose and injects the analysis back into the conversation.

1. Install the plugin

dsh plugin --profile web add @kassing/pi-vision

2. Point it at a multimodal model

This is the step to get right — the plugin needs its own vision model, and it is a different model from the one you chat with. Any OpenAI-compatible vision endpoint works (OpenRouter, DashScope/Qwen-VL, a self-hosted vLLM, …).

The plugin reads its configuration from environment variables — the standard way Pi plugins are configured, and a plain DSH-side action for you:

export VISION_BRIDGE_BASE_URL=https://openrouter.ai/api/v1
export VISION_BRIDGE_MODEL=qwen/qwen2.5-vl-72b-instruct
export VISION_BRIDGE_API_KEY=$OPENROUTER_API_KEY

That is enough to work. If you would also like that vision model to appear in DSH's own model picker (so you can chat with it directly), add it as a normal DSH route as well — the llm-pi-ai: section of $DSH_HOME/settings.yaml:

llm-pi-ai:
  providers:
    openrouter:
      baseUrl: https://openrouter.ai/api/v1
      apiKeyEnv: OPENROUTER_API_KEY
      models:
        - id: qwen/qwen2.5-vl-72b-instruct

Both are ordinary DSH configuration. The bridge owns no model configuration of its own, and there is no Pi-format file for you to write.

Avoid GPT-5/o-family models as the vision backend: that generation rejects the non-default temperature some vision plugins send.

3. Ask about an image

In the CLI, mention a path:

dsh --profile web "What color fills $PWD/photo.png ? One word."

In the web app, just paste the image — even though your main model is text-only. DSH normally refuses image attachments for a text-only model, so the engine registers an image-admission companion route for every text-only route in your directory, named <route>-vision. Pick it in the model picker (it shows up as a "+ Vision Bridge" group), paste, and ask.

What you will see: your image becomes guide text, a pi2dsh:@kassing/pi-vision context-injection row carries the analysis, and your text-only model answers about the picture. Pixels never reach the text-only wire.

Companions are automatic. To turn them off, or narrow them to specific routes, set visionCompanions in the engine's plugin config ($DSH_HOME/profiles/web/cordis.patch.yml):

- id: pi2dsh
  config:
    visionCompanions: false

Full runnable version, with probe images: examples/vision-bridge.

What actually works today

Two levels, and they are not the same claim.

Level 1 — verified end to end, with a runnable example

Someone sat down, used the plugin's real feature on a real DSH loop, and saw it work. This is the list to trust.

Examples for the last three are still to be written; per this project's own rule they get re-verified from scratch before an example lands, so the table says plainly which have one today.

Level 2 — mounts and its surface answers a probe

The Pi catalog's top 50 packages by monthly downloads, each mounted in a real DSH runtime and then called through a black-box probe. Status as of 2026-08-14; per-package machine-readable evidence in community/.

47 of 50 exercised successfully · 1 with no probeable surface · 2 pending a re-run.

What this level does not tell you: that the plugin's actual feature works the way you would use it. A probe calls a registered surface with synthetic arguments; a user runs a workflow. pi-btw is the cautionary example — it graded "working" here for weeks while /btw <question> failed on a real session, because the feature needed two ABI gaps closed (Pi's settable AgentState.messages, and an input descriptor on bridged commands) that no probe exercised. Both are fixed in 0.11.0, and both were general fixes that unlock every plugin doing the same thing.

So read the table below as "the bridge covers what this plugin touches", not as "this plugin is known-good". When you try one, a report either way is useful.

¹ Mounts; the exercise run is pending a re-run (a harness-side failure, not a package or bridge gap). ² Ran its own business logic end to end and rejected the synthetic probe arguments — working, correctly validating. ³ A pure event-hook package: all subscriptions attach, but every handler is gated on a live DeepSeek billing session, so a black-box probe has nothing safely callable to assert.

Packages outside the top 50 are not a separate case — the bridge has no per-package code. If one hits an ABI gap, fixing that gap unlocks every package that shares it.

Level 1 grows by working through Level 2 one plugin at a time. The full verification ladder, with what each rung does and does not prove: support matrix.

How it works

Three layers, and nothing crosses them:

┌─ Pi plugin ─────────────────────────────────────────────────┐
│ unmodified npm package. It sees a complete Pi host: the     │
│ three Pi runtime imports, registerX, ctx.*, 33 lifecycle    │
│ events. It never learns DSH exists.                         │
└──────────────────────────┬──────────────────────────────────┘
                           │  Pi's public ABI
┌──────────────────────────▼──────────────────────────────────┐
│ pi2dsh — the translator, and the only place that knows both │
│ vocabularies. Registry projection, event bridge, session &  │
│ subagent bridge, credentials, vendored Pi logic.            │
└──────────────────────────┬──────────────────────────────────┘
                           │  ordinary DSH plugin + llm adapter
┌──────────────────────────▼──────────────────────────────────┐
│ DeepSeek Harness. Sees a normal plugin. Never learns Pi     │
│ exists.                                                     │
└─────────────────────────────────────────────────────────────┘

DSH is two halves, and so is the bridge. The column above is the server; the browser shell has its own plugin surface, and a Pi capability that is a SHAPE rather than a behaviour lands there:

┌──────────── DSH server (cordis) ────────────┐  ┌──────── DSH browser shell ────────┐
│ services · waterfalls · durable events      │  │ dsh.client + exports "./client"   │
│                                             │  │ slot registry (ui-slots)          │
│ pi2dsh engine                               │  │   shell.overlay  ← panel, pills   │
│   tools · commands · models · sessions      │  │   session.header.utilities ← hdr  │
│   subagent bridge ─────────────┐            │  │   input.dock ← widgets            │
│   browser-state registry       │            │  │   composer.dock ← working/footer  │
│     GET /pi2dsh/browser-state ─┼── own route┼──┼─▶ all four seats, one poller      │
└────────────────────────────────┴────────────┘  └───────────────────────────────────┘

The browser half's data rides this package's own route, not DSH's typed Remote system: that one is a first-party, code-generated contract, and an out-of-tree plugin talking to its own UI should carry its own channel. One payload per session serves every seat — the side-conversation panel, plus the Pi presentation surfaces (status, widget, header, footer, title and the working/thinking chrome), which are drawn in the host's own slot seats rather than re-implemented. Two host rules make the browser half load at all — the package must export ./package.json (the host resolves the manifest by subpath), and the ./client bundle is a closure-factory artifact, not plain ESM.

The rules that keep it honest:

• Never a second implementation of something DSH already has. Tools go to DSH's tool registry, models to DSH's llm configuration, MCP to dsh-mcp-client, skills to dsh-skill-filesystem, questions to DSH's user questions. The bridge translates configuration; it does not build a parallel runtime.
• You never see Pi. Everything you configure, read, or type is DSH-shaped: DSH settings, DSH commands, DSH credentials. Pi vocabulary exists only inside the plugin's view and the bridge's own internals.
• No per-package special cases. The core contains no if (packageName === …). One ABI gap fixed unlocks every package that hits it.
• Never fake success. A capability with no safe mapping is reported — once, per plugin, in plain language — instead of silently returning something invented. If a plugin needs one during startup, it is marked unusable with a removal hint rather than half-working.
• Verified, not asserted. Every capability has a public-API contract test, and ships only after running end to end on a real DSH loop — CLI and web.

Pi capabilities on DSH

Every surface a Pi package can touch, and what it maps onto. These tables are generated from the rules the bridge consults at runtime, so they cannot drift from the code.

Plus 202 imported symbols from Pi's three runtime packages (pi-coding-agent, pi-tui, pi-ai), served from vendored or headless shims — so a plugin's own Pi version pins never load. They are listed in Imported Pi runtime symbols.

Each area page states two things for every surface: what it does on DSH, and how it is built — the DSH seam, service or waterfall the mapping runs on, so a claim here can be checked against the harness instead of trusted.

Start at the capability index. Machine-readable: pi2dsh matrix --json.

Signing in with a subscription works too: DSH ships static HTTP headers only, and the bridge adds the Pi ecosystem's interactive OAuth layer. Any Pi provider package that declares an oauth block gets a working /login <provider>, driven by the package's own protocol code — Pi's four official flows (OpenAI Codex, Anthropic, GitHub Copilot, Kimi Code) ship built in. Credentials persist with Pi's auth.json semantics and resolve per request through a standard dsh-credentials provider, so your subscription drives real calls on DSH's native llm path. Details in models.

What is deliberately not available, and why: runtime package installation and standalone model runtimes stay with the host and its security gates; provider payload/header/response interception belongs in a DSH llm adapter; project trust is a host decision. See models and environment.

The one gap we own: plugin-drawn cards. Pi plugins can ship their own renderers; today those registrations are accepted but not invoked, so such a note appears as a native context-injection row — the content reaches you and the model, without the plugin's styling. The client half exists and takes four seats (side-conversation panel, header, widget dock, working chrome) — the card renderers are what it does not draw yet.

Examples

Every verified capability ships as a complete, runnable example. Every command in one has actually been executed against a real DSH loop before landing.

Other tools

Beyond the engine, the CLI has a few helpers:

npx pi2dsh inspect <pkg>@<version>   # compatibility report before an upgrade
npx pi2dsh matrix --json             # the full capability matrix
npx pi2dsh mcp-config                # Pi mcpServers config → official DSH MCP entries

Development

pnpm verify                 # typecheck + contract tests + packaging
pnpm audit:community        # static screening over the top-50 corpus
pnpm test:community         # deep runtime + official plugin-manager + e2e
DEEPSEEK_API_KEY=… pnpm test:live    # real-model acceptance (key from env only)

Acceptance evidence per capability: docs/acceptance.md. Working standards: CLAUDE.md and docs/STANDARDS.md.

License

MIT. Vendored Pi sources retain their upstream MIT license (src/compat/vendor/PI-LICENSE); generated bundles retain copied upstream license and notice files.