Inline Visuals
English · 简体中文
Inline Visuals banner
Charts your agent can draw — and your session can replay.
A plugin for DeepSeek Harness that turns
numbers into pictures inside the conversation: 18 kinds of charts, tables, timelines, gantt,
heatmaps, flows and KPI tiles — plus ML/paper visuals such as training curves, ROC/PR curves,
confusion matrices, leaderboards and embedding clusters. With styles, exports and click-to-ask.
eighteen visual kinds
Why you'll like it
- Figures in the answer, not just the tool log. The final chart of a turn lands beneath the reply.
- See it, don't read it. "Three caching strategies, compared" becomes a card you scan in two seconds.
- It stays. The card is stored in the session log — refresh, reopen, branch the session, it is still there.
- Ask, don't retype. Click any data point, get a one-click follow-up prompt in your composer.
- Change it by talking. "Make it horizontal and stacked, with labels." The agent patches the chart
with
edit_visual instead of redrawing everything.
- Native and safe. Follows the host theme (light/dark, English/Chinese). The model sends data,
never HTML or JavaScript.
- Made for ML & papers. Training curves with log axes, smoothing and error bars; ROC/PR with AUC;
confusion matrices; model leaderboards; embedding clusters; histograms.
- Made to share. Copy JSON/CSV, export PNG or SVG.
Install in 30 seconds
Inside a DSH session, paste one line:
plugin_manager({ action: "install_bundle", target: "dsh-inline-visuals" })
No clone, no configuration. You should see show_visual (and edit_visual) among your agent's tools.
Requires DeepSeek Harness v0.2.1-rc.3 or newer. Prefer source? Use
github:YLifeOnlyOnce/dsh-inline-visuals, or point Plugin Manager at a local clone
(see the technical reference).
Try it
Just talk to your agent:
"Compare three caching strategies — hit rate, memory and complexity — as a chart."
"Turn that into a horizontal stacked bar, and add value labels."
"Draw our release pipeline as a flow."
"Show last week's traffic as a heatmap."
What it can draw
| |
|---|
| Charts | bar · line · area · pie · doughnut · scatter · radar · waterfall |
| ML & papers | training curves · ROC/PR curves · confusion matrix · histogram · model leaderboard · embedding scatter |
| Everything else | compare table · timeline · gantt · heatmap · flow · KPI tiles |
Every visual accepts presentation styles: horizontal or stacked bars, stepped lines, data labels,
legends, grids, five palettes, height and density, scatter trend lines, log axes, EMA smoothing and
error bars.
before and after
Built for ML & paper reading
ML gallery
Reading a paper or a training log? Ask for the figure:
"Plot train/val loss for 8 epochs on a log scale, smoothed, with error bars."
"Draw the ROC curve from these points and mark AUC."
"Make a confusion matrix for cat/dog/bird from this table."
"Compare these four models on accuracy, F1 and latency — highlight the best."
"Cluster these embeddings by class and show a t-SNE scatter."
How it works (in one breath)
The model sends a small, declarative spec → the plugin validates and stores it on the tool result →
your client renders it with the host's theme. Because the data lives in the session log, replays need
no extra model call.
FAQ
Do I need to configure anything? No. Install and ask.
Where do the cards live? In the session log (tool/result.meta), not in a separate file.
Does it send my data anywhere? No. The plugin performs no network calls; the model already sees
what you typed.
Can I get the numbers out? Copy as JSON or CSV; charts export as PNG; hand-drawn cards as SVG.
Which kinds are interactive? Click-to-ask works on chart kinds (canvas). More surfaces are on the
roadmap.
Text-only clients? They receive a compact text summary instead of the card — nothing is lost.
Under the hood
- 38 tests (
node:test), CI on every push, tag-driven npm release with provenance.
- ~35 KB host half, one self-contained browser file (~217 KB, Chart.js inlined, React shared with the host).
- Spec
version: 3 is stable; v1/v2 specs still render.
Full parameter reference, limits and development notes: docs/reference.md.
Changelog: CHANGELOG.md. Contributing: CONTRIBUTING.md.
License
MIT © 2026 YLifeOnlyOnce
