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dsh-local-ai

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2026-08-23最近推送
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功能简介

Local-model (Ollama) integration for DeepSeek Harness: discover, pull, remove, and inspect local models, route requests to them by task type or keyword with automatic fallback to the cloud, and get a one-shot status overview via /ollama.

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未验证 — 尚未实测

Local-model (Ollama) integration for DeepSeek Harness: discover, pull, remove, and inspect local models, route requests to them by task type or keyword with automatic fallback to the cloud, and get a one-shot status overview via /ollama. 尚未验证——请自行安装测试。

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README

🤖 dsh-local-ai

Gitee

Local-model (Ollama) integration for DeepSeek Harness.

Discover, pull, remove, and inspect local models, route requests to them by task type or keyword with automatic fallback to the cloud, and get a one-shot status overview via /ollama.

License
DSH plugin
Node
CI
Version
npm version
npm downloads

English · 简体中文 · Español · Português · हिन्दी


Compatibility

Surface Status
Harness DeepSeek Harness 0.1.1-rc.2
Node ^22.19.0 || >=24.0.0
Backend Ollama (local HTTP API + CLI probe)
Model Text-only route (inputModalities: ['text']); tool calls and tool results are supported

What you get

dsh-local-ai makes Ollama a first-class local provider in DeepSeek Harness:

  • Discovery & managementollama_list (installed models, running models, disk usage), ollama_show (parameter size, quantization, context length), ollama_pull, and ollama_remove.
  • Health check — process liveness (via the ollama CLI) and API responsiveness (via /api/version), reported as two independent signals.
  • Official adapter — the ollama provider route is registered through ctx.llm.registerAdapter (LlmAdapter), with configurable model mapping and temperature / max-tokens / stop translation.
  • Local routingmodel_route rules route requests to a local model by task type (purpose), case-insensitive keyword, or always, with automatic fallback to the cloud when the local route fails before producing content.
  • /ollama command — a one-shot status overview: models, disk usage, health, and suggestions.
  • Zero dependencies, HTTP first — everything talks to Ollama's HTTP API (the CLI is used only for the process probe); no model files are bundled.
request (loop)
   │ llm/stream waterfall
   ├─ rule matches? ──▶ route to ollama ──▶ Ollama /api/chat (NDJSON stream)
   │                        └─ fails first ─▶ fall back to cloud (next())
   └─ no match ──▶ cloud provider
tools ──▶ /api/tags · /api/ps · /api/show · /api/pull · /api/delete
health ──▶ /api/version (API) + ollama list (process)

Quick start

# 1. install the bundle into your profile
dsh plugin --profile web add "github:PerryLink/dsh-local-ai#main"

# or from npm (published releases)
dsh plugin --profile web add dsh-local-ai

# 2. configure routing in your profile patch (cordis.yml) and restart
dsh --profile web

Minimal routing configuration (the rule ships commented out in cordis.patch.yml):

- insert:
    - id: dsh-local-ai
      name: dsh-local-ai
      config:
        route:
          - model: llama3.2
            keywords: ["confidential", "offline"]

Then verify the row mounts:

dsh --profile web --dump-config | grep -A2 'id: dsh-local-ai'

Install & uninstall

  • git channel (latest main): dsh plugin --profile web add "github:PerryLink/dsh-local-ai#main" — the prepare script builds with production dependencies only.
  • npm channel (published releases): dsh plugin --profile web add dsh-local-ai.
  • tarball channel: pnpm pack in this repo, then dsh plugin --profile web add ./dsh-local-ai-<version>.tgz.
  • uninstall: dsh plugin --profile web remove dsh-local-ai (or remove the row from the profile patch).

If pnpm reports ERR_PNPM_IGNORED_BUILDS for this package, add allowBuilds: { esbuild: true } to your pnpm-workspace.yaml — the dsh CLI prints the exact snippet.

Configuration

All tunables are Schemastery Config fields (changeable from cordis.yml). An id-targeted override replaces the whole row — restate every key you need. cordis.patch.yml documents each key inline.

Key Default Meaning
baseURL http://127.0.0.1:11434 Ollama HTTP API base URL; /api/* paths are appended
requestTimeoutMs 30000 Per-request HTTP timeout (milliseconds)
graceMs 15000 Subprocess terminate grace for the health-check CLI probe
defaultContextWindow 8192 Context capacity used when a model has no exact value
maxTokens 4096 Per-request output cap used when a model has no exact value
temperature (none) Default sampling temperature (0..2); omitted leaves the provider default
vision true Declare and serialize image support when the model reports vision; false keeps the route text-only
models [] Harness-visible → Ollama model mappings
models[].name (required) Harness-visible model name (GenerateOptions.model)
models[].model = name Ollama model id
models[].contextWindow (none) Per-model context capacity
models[].maxTokens (none) Per-model output cap
models[].temperature (none) Per-model sampling temperature
route [] Local-model routing rules (first match wins)
route[].model (required) Target local model name
route[].purpose (none) Task type match: compaction / session-title
route[].keywords [] Case-insensitive request keywords
route[].always false Route every eligible request to this model

Tools & surfaces

Surface Kind What it does
ollama_list tool List installed models, running models, and disk usage
ollama_show tool Show parameter size, quantization, context length, family, format
ollama_pull tool Pull (download) a model
ollama_remove tool Remove a model
ollama_health tool Process liveness + API responsiveness
/ollama command One-shot status overview (models + health + suggestions)

Consumes the public host services ctx.llm (registerAdapter), ctx.tools, ctx.subprocess (CLI probe), and ctx.commands. It registers no llm/stream short-circuit by default — the routing listener passes through (next()) unless a rule matches.

Permissions & data

  • Permissions: network:outbound to the Ollama endpoint you configure; no native code, no filesystem access, no storage.
  • Data: every model list/detail, health fact, and error message shown to the model or the user is sanitized (endpoint userinfo and secret query params dropped, control characters stripped, lengths bounded) before display. Tool and command results are logged by the harness's own tool/command seams.
  • Credentials: the plugin stores and reads no credentials. It only issues HTTP requests to the endpoint you configure, plus the local ollama list process probe.

Security boundaries

  • No re-routing by default — the route list is empty unless you opt in; a request reaches a local model only through an explicit rule or an explicit ollama provider selection.
  • Sanitize before display — endpoint addresses and local paths are sanitized before they reach tool output, the /ollama command, or error messages.
  • Zero bundled models — downloads and storage are Ollama's own responsibility; nothing is shipped in the package.
  • Failure loud, failure contained — invalid config fails the mount; a local route that fails before producing content falls back to the cloud (next()), so a down Ollama never bricks a conversation.
  • Model-visible ⟺ logged — routing only changes which provider serves a request (the assistant message is logged with its ollama provenance); no new model-visible input is invented.

Known limitations

  • rc.2 only — developed and tested against @deepseek-ai/[email protected]; newer harness baselines are expected to work but are verified by the monthly compat workflow.
  • Vision when the model reports it — models whose /api/show capabilities include vision declare inputModalities: ["text","image"] and carry base64 image payloads on user messages (opt out with vision: false); text-only models still reject image content (UNSUPPORTED_CONTENT).
  • Mid-stream fallback — once a local route has started producing content, a later failure is forwarded (not retracted); only a failure before the first token falls back to the cloud.

Development

pnpm install        # node ^22.19 || >=24
pnpm run typecheck  # tsc: src + tests against the published 0.1.1-rc.2 types
pnpm run typecheck:ci  # strict tsc against published rc.2 types (skipLibCheck off)
pnpm test           # vitest: real Context/LlmRuntime/ToolRuntime/CommandRuntime/subprocess seams
pnpm run test:coverage  # coverage gate (90/80/90/90)
pnpm run build      # tsdown bundle + tsc declarations (lib/)
pnpm run verify:self-contained  # dependency specs resolve from the registry
pnpm run verify:artifacts       # built ESM face + bundle patch present
node scripts/check-readme-sync.mjs  # five-language README sync gate
node scripts/check-endpoints.mjs  # M3 endpoint-liveness probe (Ollama /api/version)
pnpm pack           # the published tarball

Topics

dsh, dsh-plugin, deepseek-harness, deepseek, cordis, ollama, local-llm, local-models, offline, privacy, model-routing

Contributors

  • @PerryLink — creator and maintainer: adapter, routing, tools, health check, sanitization, and the five-language docs.
  • @LABEST-IA — tool-call CallId fix (PR #2), and the tool-call slot and vision-support reports (issues #1, #3, #5).

PerryLink DSH Plugin Family

This project is one of the 29 DeepSeek Harness plugins maintained by PerryLink. If this one helps you, the others likely will too:

Plugin One-liner
dsh-auto-review Second-model auto-review on the approval chain, fail-closed by default
dsh-background-agents Durable background child agents with a Web UI sidebar, messaging and interrupt
dsh-budget Cost governance for DeepSeek Harness: budgets, carbon, and latency in one panel.
dsh-checkpoint-rewind Claude Code /rewind-equivalent: snapshots, session forks, one-shot restore
dsh-claude-move Migrate Claude Code sessions, memory, skills and CLAUDE.md into DSH
dsh-click Cross-platform native desktop control for DeepSeek Harness — Windows first.
dsh-composer-history Terminal-style input history for the web composer: arrows, Ctrl+R search
dsh-defend Prompt-injection, jailbreak, and secret-leak defense for DeepSeek Harness.
dsh-doublecheck Engineering-discipline guard: requirements grill, test gates, adversary review
dsh-draw Unified static-image generation routing for DeepSeek Harness.
dsh-fast Read-only performance diagnostics for DeepSeek Harness.
dsh-github GitHub PR/issues integration for DSH, every write gated by approval
dsh-library Local document knowledge base for DeepSeek Harness.
dsh-local-ai Local-model (Ollama) integration for DeepSeek Harness.
dsh-lsp-actions LSP diagnostics, formatting, completion, code actions and rename over language servers
dsh-mask PII masking middleware for DeepSeek Harness — anonymize personal data before it reaches the model, restore it at the display layer.
dsh-mcp-panel Read-only MCP runtime panel: /mcp command + Settings tab with status, tools and errors
dsh-memento Approval-gated cross-session memory: ctx.memory seam + SQLite + memory tool
dsh-observe OpenTelemetry and Langfuse observability exporter for DeepSeek Harness.
dsh-output-styles Claude Code outputStyles-equivalent runtime style switching
dsh-permission-rules Claude Code-style declarative allow/deny/ask permission rules with audit
dsh-plugin-guide Plugin-development knowledge base as an on-demand agent skill
dsh-score Multi-dimensional quality scoring for DeepSeek Harness plugins.
dsh-session-pin Pin sessions in the Web sidebar with durable ordering
dsh-session-sync Cross-device session sync for DeepSeek Harness — a dedicated git mirror of your session store.
dsh-skill-pack-security Security-audit skill pack: secret scan, dependency and supply-chain review
dsh-talk Voice-first session loop for DeepSeek Harness: talk to it, hear it answer.
dsh-test-drive Isolated install-and-smoke test drives for DeepSeek Harness plugins.
dsh-translate Vendor parameter translation and deterministic JSON repair for DeepSeek Harness.

License

Apache License 2.0 © 2026 dsh-local-ai contributors

安装

🧩 让 Agent 自动装(推荐)

装一次目录插件,之后本站所有插件都能让 DeepSeek Harness 自动找、自动装:

dsh plugin add dshbase-catalog

然后对 agent 说「帮我装 dsh-local-ai」,它会在目录里找到并自动安装。文档:dshbase-catalog · 已验证场景包

该插件是 GitHub 源码(未发 npm)——直接从仓库装:

Web profile:

dsh plugin --profile web add github:PerryLink/dsh-local-ai

Headless(CLI)profile:

dsh plugin --profile headless add github:PerryLink/dsh-local-ai

实测报告

尚未 L3 验证——若已跑过,见下方失败备注。

状态:pending · 最近测试 2026-08-26
备注:验证: runtime-fail 浏览全部待验证失败 →
安全:尚未扫描——我们的每日静态扫描将很快覆盖它。

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