I came to DeepSeek Harness as a reviewer and left as one of its plugin authors,
which is a fair measure of how the week went.
The hook is on the repo's first line: "Everything is a plugin." Not the
usual marketing meaning — not a config file with a couple of third-party hooks.
In DSH the agent hosts its own web UI as plugin packages; the settings screen
where you pick and configure models is assembled from plugin contributions
(this is the part I verified the hard way); even the optional subagents —
Codex, Claude Code — ship as plugins you can add or drop. All of it loaded
through manifests over a real extension API. I've poked at a lot of "extensible" tools. This one takes it literally, and poking at it turned into
the most fun I've had with an agent harness in a while.
The gap I kept feeling in Settings → Models was the two questions I ask before
switching providers every time: what does this model actually cost per million tokens, and is a cheaper route to the same model available? DSH
tells you which models exist. It doesn't tell you what they cost.
dsh-model-pricing closes that, and it lives inside the harness's own Settings page — because that's the point of testing the plugin system:
cheapest badge: GLM-5.2, say,
runs from $3.08 to $4.84 per 1M output tokens depending on the gateway — the
same model, 57% apart
It installs through the harness's own plugin manager — I never forked anything:
npx -y @deepseek-ai/dsh plugin --profile web add dsh-model-pricing
Here's the part I didn't expect. I built the whole thing using DeepSeek Harness, driven by Qwen3.8-Flash through B.AI's current promotion — the one
Eight records shipped on day one; one of them describes the free model that
wrote this plugin's UI.
| priced rows / providers | 7,178 / 213 | | harness-catalog overlaid rows | 788 (30 disagreements flagged, not averaged) | | plan rows grouped & excluded from ranking | 175 | | promo records at launch | 8 (each with source URL + verification date) | | commits / files / LOC | 28 / 18 / ~2,300 | | wall-clock | ~22h, incl. overnight autonomous rounds | | LLM cost | $0 — free API promotion, re-verify date 2026-10-10 | | UI languages | en + zh (platform), ru (plugin) |
If you're curious about DeepSeek Harness the way I was: run it, then break into
its settings page. The architecture is the product; the agent is very good at
both jobs, even on a model that costs nothing.
npx -y @deepseek-ai/dsh plugin --profile web add dsh-model-pricing
Repo (docs, feature map, the promotion contribution rules — all public):
github.com/vitas/dsh-model-pricing
· npm:
Apache-2.0.