dsh-file-upload

File-message plugin for DeepSeek Harness (dsh). Claude-desktop-style drag-and-drop and paperclip uploads, content sniffing, fully bundled document → Markdown conversion (MarkItDown engine, 20+ formats, image OCR), text inlining into the composer, voice-to-text input, and a read_document tool for agents.

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Features

• Upload — composer paperclip button plus a global drag-and-drop overlay ("release to attach"), multi-file support.
• Attachment cards — color-coded type badges (PDF red / DOC blue / XLS green / TXT gray / ZIP purple / JSON gold) with name and size; removable.
• Text inlining (Claude style) — small text files (code, JSON, CSV, logs, config) are inserted directly into the composer via the official slash/input-insert-text event, so the model sees the content immediately; larger text files insert a path reference with a preview.
• Document → Markdown, fully bundled — the MarkItDown engine ships inside the plugin (Microsoft MarkItDown TypeScript port, markitdown-node): PDF / DOCX / PPTX / XLSX / HTML / CSV / JSON / XML / RSS / Atom / ZIP / Jupyter / image OCR / audio transcription. No Python, no downloads, no setup.
• Image OCR by default — uploaded images are readable through read_document (Tesseract, 110+ languages); no vision plugin required.
• Voice input — record from the mic and transcribe straight into the composer (browser Web Speech API, zero dependencies); audio files upload as file attachments.
• read_document tool for agents — line-numbered paging (offset/limit), byte-budgeted LRU cache (invalidated on file change), size pre-checks, reads through ctx.fs (inherits sandbox and fs-observation policy).
• Security — loopback-only uploads, sanitized file names, session-isolated storage (.dsh-uploads/<sessionId>), sha256 content dedup, bounded concurrency, TTL sweep.

Install

dsh plugin --profile web add dsh-file-upload
# restart dsh web

Usage

1. Click the paperclip in the composer toolbar, or drag files anywhere over the window;
2. Small text files land directly in the composer; documents appear as attachment cards and their path is sent with the message;
3. The agent reads documents with read_document <path> — converted to Markdown on demand, pageable with offset/limit.

MarkItDown (fully bundled — no downloads, no setup)

The MarkItDown capability ships inside the plugin. Works out of the box: no Python, no pip, no downloads, no build-script approval.

• Bundled engine — the Microsoft MarkItDown TypeScript port (markitdown-node) is a regular dependency covering 20+ formats: PDF, DOCX, PPTX, XLSX, HTML, CSV, JSON, XML, RSS, Atom, ZIP, Jupyter notebooks, images (OCR via Tesseract, 110+ languages), and audio transcription (via LLM, needs model credentials).
• Images — OCR to text by default through the bundled engine.
• Offline — all parsing runs locally, no network calls.

Optional upgrade: if an official MarkItDown CLI already exists on your machine (or is set via markitdownBin), the plugin prefers it (adds EPUB and more); without one the bundled engine is always available.

- id: file-upload
  config:
    markitdownBin: /path/to/your/markitdown   # optional; empty = bundled engine only

Startup log (bundled mode):

[dsh-file-upload] Document → Markdown ready: bundled MarkItDown engine (20+ formats, image OCR) — fully packaged, no downloads, no Python.

How images are handled

Scenario	Path
Model accepts image input (or a vision bridge like dsh-vision-router is installed)	agent uses the official read_image tool
Default (no vision route)	read_document <image path> → bundled engine runs OCR (Tesseract) and returns a text description
Official MarkItDown CLI with LLM credentials	read_document <image path> → CLI describes the image

The injected systemPrompt covers this guidance; the agent picks the right path automatically.

Voice input

• Record — the mic button in the composer records up to maxRecordSec (default 60 s); the transcript (browser Web Speech API) lands in the composer as editable text, so you can review it before sending.
• Audio files — uploaded audio is stored like any file attachment; with a configured ASR endpoint (OpenAI-compatible /audio/transcriptions) the plugin transcribes it automatically and sends the transcript with the message.

- id: file-upload
  config:
    asrEndpoint: ''               # e.g. https://api.openai.com/v1/audio/transcriptions
    asrApiKeyEnv: OPENAI_API_KEY  # env var holding the ASR key
    asrModel: whisper-1

Configuration

Field	Default	Description
uploadMaxBytes	25165824 (24 MB)	Max bytes per uploaded file
allowedExtensions	[]	Extension allowlist; empty = all allowed
uploadTtlMs	604800000 (7 days)	Unreferenced upload lifetime
sweepIntervalMs	3600000 (1 h)	Sweep period; 0 = disabled
maxConcurrentUploads	4	Concurrent upload limit
inlineTextLimit	8192 (8 KB)	Text inlined into the composer up to this size
previewTextLimit	2048 (2 KB)	Preview length for larger text files
maxFileBytes	25165824	Byte cap for one document read
readLimit	2000	Max lines returned by one read_document call
sheetRowLimit	200	Rows kept per XLSX sheet
maxSheets	5	Sheets read per workbook
cacheEntries	16	Parse-cache entry count
cacheMaxBytes	67108864 (64 MB)	Parse-cache byte budget
markitdownBin	''	Optional MarkItDown CLI path; empty = auto-detect PATH
markitdownTimeoutMs	120000	Timeout for one CLI invocation
maxRecordSec	60	Max voice recording length (seconds)
asrEndpoint	''	Optional OpenAI-compatible ASR endpoint for audio files
asrApiKeyEnv	OPENAI_API_KEY	Env var holding the ASR API key
asrModel	whisper-1	ASR model name

Development

pnpm install
pnpm build     # tsc (host) + esbuild (client bundle)
pnpm test      # node --test

Architecture

src/
├── index.ts        # entry: apply + Config schema + assembly
├── detect.ts       # content sniffing (never trusts extensions)
├── convert.ts      # MarkItDown engine + optional CLI backend
├── upload.ts       # upload route: loopback/session/size/dedup/TTL
├── asr.ts          # audio transcription (OpenAI-compatible endpoint)
├── tool.ts         # read_document: ctx.fs reads + paging + LRU cache
└── client/
    └── index.tsx   # paperclip + drag overlay + mic + attachment cards

Dual-face plugin: dsh.bundle (host) + dsh.client (web UI). No official patches — everything uses official seams (ctx.webServer, ctx.tools, ctx.systemPrompt, ctx.sessions, slash/input-insert-text, slash/input-insert-reference).

Security

• Uploads are loopback-only and same-origin checked.
• File names are sanitized (control chars, path separators, dot segments, leading dots stripped).
• Storage is session-isolated under the session's own workspace; unknown sessions get 403.
• sha256 content dedup, bounded concurrency (429 on overload), TTL sweep.
• Text extraction parses bytes, never trusts extensions; binaries are handed to the agent by path only.

License

MIT