pi2dsh
Bridge the Pi and DeepSeek Harness ecosystems: a general Pi Host ABI that runs unmodified Pi extensions as native DSH plugins, plus per-package conversion and MCP config translation.
AI 分析
核心用途是让 DSH 能够直接运行 Pi 生态的丰富插件(如网页搜索、内存等)。适合希望无缝复用 Pi 插件以扩展 DSH 能力的用户。安装后可直接通过 npm 安装并运行 Pi 插件。
インストール
npx -p @deepseek-ai/dsh dsh plugin --profile web add github:weijiafu14/pi2dshドキュメント
README 全文を読む ↗pi2dsh
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Run the Pi ecosystem's plugins on DeepSeek Harness, unmodified.
dsh plugin add pi2dsh # once
dsh plugin add # 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
weborheadlessas 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 --profilecreates 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 itsdsh.profile.bundlesyourself.
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:
| Task | Command |
|---|---|
| Add a plugin | `dsh plugin add |
| ` (then restart dsh) | |
| Remove a plugin | `dsh plugin remove |
| ` — remove plugins before removing the engine | |
| Upgrade a plugin | `dsh plugin add |
| @latest` — the engine is untouched | |
| Upgrade the engine | dsh plugin add pi2dsh@latest — your plugins are untouched |
| Check a plugin before upgrading | `npx pi2dsh inspect |
| @` |
Two installer messages worth knowing:
ERR_PNPM_IGNORED_BUILDS— pnpm blocks dependency build scripts by default. Runpnpm approve-buildsinside$DSH_HOME/profiles/web, or set the listed packages totrueunderallowBuildsin that profile'spnpm-workspace.yaml. Then re-run the add. (This is your call to make, so the bridge does not work around it.)- An add silently installs an older version right after a release —
pnpm's
minimumReleaseAgeskips versions published very recently. Pin it:dsh plugin add pi2dsh@.
Requires Node.js 22.19+ and DeepSeek Harness.
Walkthrough: give a text-only model eyes
The clearest example of what the bridge buys you. DeepSeek models are text-only, so DSH cannot send them an image. The Pi ecosystem has a plugin for exactly this — it hands the image to a vision model you choose and injects the analysis back into the conversation.
1. Install the plugin
dsh plugin --profile web add @kassing/pi-vision
2. Point it at a multimodal model
This is the step to get right — the plugin needs its own vision model, and it is a different model from the one you chat with. Any OpenAI-compatible vision endpoint works (OpenRouter, DashScope/Qwen-VL, a self-hosted vLLM, …).
The plugin reads its configuration from environment variables — the standard way Pi plugins are configured, and a plain DSH-side action for you:
export VISION_BRIDGE_BASE_URL=https://openrouter.ai/api/v1
export VISION_BRIDGE_MODEL=qwen/qwen2.5-vl-72b-instruct
export VISION_BRIDGE_API_KEY=$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 $PWD/photo.png ? One word."
In the web app, just paste the image — even though your main model is
text-only. DSH normally refuses image attachments for a text-only model, so
the engine registers an image-admission companion route for every text-only
route in your directory, named -vision. Pick it in the model picker
(it shows up as a "+ Vision Bridge" group), paste, and ask.
What you will see: your image becomes guide text, a
pi2dsh:@kassing/pi-vision context-injection row carries the analysis, and
your text-only model answers about the picture. Pixels never reach the
text-only wire.
Companions are automatic. To turn them off, or narrow them to specific routes,
set visionCompanions in the engine's plugin config
($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.
| Plugin | What was exercised | Where | Example |
|---|---|---|---|
@kassing/pi-vision | Image analysis delegated to a vision model; image-admission companion route; analysis injected into a text-only model's turn | CLI + web | vision-bridge |
pi-btw | /btw as a real child session in DSH's subagent UI; /btw-inject; /btw --save; main thread stays clean | CLI + web | side-conversation |
pi-vision-tool | Tool registration through a JSON-Schema shape DSH had to convert (anyOf → oneOf) | CLI + web | — |
pi-approval-guardian | Every tool call reviewed by a second model before execution; allow and deny both observed | CLI (bare env) | — |
pi-hermes-memory | Cross-session memory: written in one process, read back in a second, fresh one | CLI | — |
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 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.
| Area | Packages |
|---|---|
| MCP | pi-mcp-adapter · pi-mcp-extension |
| Web search & fetch | pi-web-access · pi-deepseek-search · pi-web-search · @ollama/pi-web-search · @juicesharp/rpiv-web-tools |
| Code navigation & editing | pi-lens (ast-grep) · @narumitw/pi-lsp · pi-readseek · @ff-labs/pi-fff · pi-landstrip · pi-hashline-edit-pro¹ |
| Subagents & background work | @tintinweb/pi-subagents · @gotgenes/pi-subagents · pi-background-tasks² · @mjasnikovs/pi-task |
| Memory | pi-hermes-memory · pi-goosedump |
| Planning & goals | @narumitw/pi-goal · pi-goal-list-loop-audit · @narumitw/pi-plan-mode · @juicesharp/rpiv-todo |
| Asking you / approvals | @juicesharp/rpiv-ask-user-question · pi-ask-user · @gotgenes/pi-permission-system · @juicesharp/rpiv-advisor |
| Side conversations | pi-btw · @narumitw/pi-btw |
| Models & providers | pi-provider-litellm · pi-llama-cpp · pi-prompt-template-model · @vigolium/piolium |
| Images | @kassing/pi-vision (see above) · @amaster.ai/pi-image-gen |
| External integrations | @llblab/pi-telegram · pi-cursor-sdk² · @howaboua/pi-codex-conversion · pi-agent-browser-native² · pi-harness-runtime |
| Prompting & workflow | pi-simplify · pi-fabric² · mitsupi · pi-cc-extensions · pi-rtk-optimizer · pi-interview¹ |
| Terminal decoration | pi-powerline-footer · @narumitw/pi-statusline · pi-zentui |
| Voice | @juicesharp/rpiv-voice |
| Usage reporting | @alexanderfortin/pi-deepseek-usage³ |
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 todsh-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.
| Area | Pi surfaces | Status |
|---|---|---|
| Tools | 12 | 3 same semantics · 9 mapped, difference stated |
| Commands, flags, editor input | 13 | 13 mapped, difference stated |
| Messages, context, agent loop | 20 | 9 same semantics · 11 mapped, difference stated |
| Sessions & side conversations | 24 | 6 same semantics · 18 mapped, difference stated |
| Models, providers, credentials | 15 | 1 same semantics · 11 mapped, difference stated · 3 not available |
| Asking the user, rendering | 24 | 4 same semantics · 20 mapped, diff |