dsh-zcode-farm
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Let the DeepSeek Harness agent see a whole farm of ComfyUI instances and dispatch each job to the idlest one.
Zero runtime dependencies · Node ≥ 22 · MIT
Why this exists
ComfyUI's own docs are explicit: one ComfyUI process executes one workflow at a time.
Real concurrency only comes from running one process per GPU and routing each job to the
least-busy instance. The ecosystem already has pooling libraries such as comfyui-orchestrator.
But when you wire that up to an AI agent, one piece is missing: the agent can't see the farm.
Measured on a real machine (a single moment on 2026-09-21, taken with this plugin's own probe):
| Instance | GPU | Free VRAM | Queue | Verdict |
|---|
18100 ← the only one dsh-comfyui can see | RTX 5090 | 0.8 / 33.7 GB | 1 running | too full |
18300 | RTX 5090 | 0.8 / 33.7 GB | 1 running | too full |
18301 | RTX 5090 | 0.9 / 33.7 GB | 1 running | too full |
18302 | RTX 5090 | 0.5 / 33.7 GB | 1 running | too full |
18303 | RTX PRO 6000 Blackwell | 99.4 / 102.0 GB | 0 | ✅ idle |
dsh-comfyui (77★, the most mature plugin in this space) talks to one endpoint, so every
generation request hits the busiest machine — while 102 GB of VRAM sits idle.
This plugin fills exactly that gap: let the agent see, then let it dispatch.
What it does
Three tools:
| Tool | Purpose |
|---|
comfyui_farm_status | Full farm view: per-instance GPU, free VRAM, queue depth, what's running, and who should get the next job |
comfyui_farm_pick | Choose without executing: filter by VRAM floor / queue ceiling / GPU-name hint / exclude list, and get the reason |
comfyui_farm_run | Load-aware dispatch: auto-pick (or force an instance), accepting a raw API workflow or a one-shot "prompt + checkpoint" text-to-image |
Install
dsh plugin --profile web add dsh-zcode-farm
Restart the app and the agent gets all three tools.
Configuration
- id: comfyui-farm
config:
primaryUrl: 'http://127.0.0.1:8188'
instances:
- { id: gpu-18301, baseUrl: 'http://127.0.0.1:18301', label: '5090 shard' }
- { id: gpu-18303, baseUrl: 'http://127.0.0.1:18303', label: 'Blackwell 102G' }
needVramGb: 8
maxQueueDepth: 3
queueWeight: 1000
probeTimeoutMs: 5000
probeRetries: 1
How an instance is chosen (two stages)
- Filter — unreachable, or free VRAM
< needVramGb, or queue depth > maxQueueDepth → out.
- Rank —
score = freeVramGb − queueDepth × queueWeight
The default queueWeight = 1000 is deliberate: queue depth dominates the ranking and free
VRAM only breaks ties. That matches the intuition — an idle small GPU finishes sooner than a
busy large one.
Prefer "biggest VRAM wins"? Set queueWeight: 0.
Relationship to dsh-comfyui: complementary, not competing
| dsh-comfyui | dsh-zcode-farm |
|---|
| Scope | one endpoint | a whole farm |
| Strength | workflow library, skill packs, canvas, asset panel | awareness, selection, dispatch |
| Assembly row id | comfyui | comfyui-farm |
The row ids differ, so both can be installed side by side. Neither depends on the other.
Design notes
- Zero runtime dependencies. Node's built-in
fetch / AbortController only.
- No workflow editing. That's
dsh-comfyui's territory; this plugin only answers "who gets it".
- No assumption of locality. Every member is just a URL — SSH tunnels, LAN and remote hosts
are treated identically. The 5 tunnels on the test machine are plain
ssh -L forwards.
- Probe failures are retried. Tunnel flakiness is real: the same instance once timed out at
>3s and answered in 106ms on the very next call. A single failure is not a verdict — we
retry, then report attempts so the agent can tell "down" from "hiccup".
- Failure reasons are never overwritten. When filtering by GPU hint, an unreachable instance
keeps its "unreachable" reason instead of being relabelled "GPU mismatch", which would hide
the actual problem.
Development
npm test # unit tests (pure functions, no network)
node probes/probe-farm.mjs # standalone probe: farm status only
node probes/probe-tools.mjs # load the entry and really execute the tools (read-only)
node probes/probe-tools.mjs --run # actually dispatch one job (smallest payload: 512² / 12 steps)
During development the host-provided peer deps (@deepseek-ai/schemastery and its deps) must be
present in a local node_modules/, otherwise the entry cannot be imported. This is not needed
when installed into a real profile — the host supplies them.
Known limitations
- The built-in template of
comfyui_farm_run covers minimal text-to-image only
(KSampler + CheckpointLoaderSimple + EmptyLatentImage + 2× CLIPTextEncode + VAEDecode + SaveImage).
For anything richer, pass a workflow.
- Aliases pointing at the same backend are not detected. If you configure both a switchable
forwarder (e.g.
127.0.0.1:8188 → "currently focused instance") and its real target, you will
see two members with identical readings. That is honest reporting, not a bug — probing cannot
distinguish them.
number returned by /prompt is a server-side cumulative counter, not a queue position
(measured: it returns 22 even when the queue is empty). Trust comfyui_farm_status for real queue depth.
License
MIT
Status
- 1 suite, 15 checks — run
node test/run.mjs
- Declared compatibility:
>=0.1.5-rc.2 <0.2.0-0 (see engines.dsh and the peer range)
- Pin the version to bypass pnpm's release cooldown:
dsh plugin --profile web add dsh-zcode-farm@1.0.1
- Verified against five SSH-tunnelled ComfyUI instances plus one switchable forwarder