@creait/dsh-gen-limit

Per provider/model concurrency limits for DeepSeek Harness, with a settings card.

Some backends fall over — or bill hard — when several sessions generate against them at once. A self-hosted GPU serving one model has a real ceiling; a metered API has a financial one. dsh has no per-model concurrency control, so a single agent that fans out subagents can saturate either.

This caps how many sessions may generate concurrently on a given provider/model. Work past the cap waits in a FIFO queue rather than failing: a fan-out of eight researchers against a limit of three is a pacing problem, and bouncing five of them does not make the brief smaller, it just spends the retry budget re-asking.

How it enforces

The count — llm/stream waterfall. Every streaming model call is capped by the number of distinct sessions actually generating. A session reentering the loop is not counted twice, and a session parked waiting on a subagent holds no stream — the child is what counts. This is where the limit is enforced, and it is enforced the same way no matter how a session started: a subagent from a tool call, a child the workflow engine started directly, or a plain conversation.

The pacing — tools/pre-execute. When an agent calls a subagent spawn tool (subagent, subagent_fork) and the target provider/model is already full, the spawn joins the same queue and is admitted as soon as there is room, so a fan-out is paced instead of piling more sessions onto a saturated backend.

This gate deliberately holds no slot of its own. Reserving one per admitted spawn is the obvious design and it double-counts: the child then takes a second slot the instant it generates, so every live child costs two. There is no clean seam to hand a reservation over either — subagent/start carries no back-reference to the spawn that caused it, and it also fires for children the workflow engine starts without any tool call. So a child is counted exactly once, where it can be counted consistently.

What a wait costs. queueTimeoutMs bounds how long a request waits (0 waits indefinitely) and maxQueued bounds how many may wait at once — an unbounded queue in front of a slow backend is a memory leak that presents as a hang. Only a request that exhausts its wait fails, and it fails with the code GEN_CAPACITY_EXCEEDED; for a spawn that means the tool call is denied. Reaching that point means the backend has been saturated for a sustained period, not that a request was unlucky with timing.

The consequence — transport timeouts. Waiting for a slot means a stream may legitimately go quiet for a long time, so the limiter also makes sure the socket agrees. llm-pi-ai lets a provider declare streamIdleTimeoutMs, but the SSE stream rides Node's built-in fetch, whose bodyTimeout defaults to five minutes and which nothing in the harness configures — so any value above 300000ms is unreachable. Raising it just moves the kill from the harness watchdog (TIMEOUT) to undici (TypeError: terminated, classified TRANSPORT, equally retryable), and each retry restarts the step from scratch and discards everything it had generated.

So transport.js reads the timeout the provider already declares and installs a dispatcher that applies it to that provider's origin, plus a 30-second margin so the harness watchdog stays the one that reports a dead stream. There is nothing new to configure, and no other origin is affected — MCP servers, web fetches and the update check keep Node's defaults. A provider that declares no streamIdleTimeoutMs, or one under five minutes, is left alone.

Install

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sh
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dsh plugin --profile web add @creait/dsh-gen-limit

The package ships its own cordis.patch.yml, so it inserts its roster row on its own — no manual profile edit. Add it to dsh.profile.bundles to activate the browser half.

Configure

Limits live in the dsh-gen-limit settings namespace, one row per provider/model. max: -1 means unlimited, and any pair without a row defaults to unlimited — the plugin is inert until you give it a limit.

Seed them from the row in your profile patch — provider and model are whatever ids your own routes publish:

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yaml
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- id: gen-limit
  config:
    limits:
      - { provider: local-gpu, model: deepseek-v4-flash, max: 2 }
      - { provider: anthropic, model: claude-opus-4, max: 1 }
    queueTimeoutMs: 120000   # how long a request waits for a slot; 0 = forever
    maxQueued: 64            # how many may wait at once

Or edit it in the GUI: Settings → Plugins → Plugin config → Generation Concurrency (the shipped web UI labels those 设置面板 → 插件 → 插件配置). The card lists the live providers and models from the same llm service the conversation uses, so the rows are pickable rather than typed from memory.

Routes

The card talks to three plugin-owned loopback routes rather than the settings RPC — the harness settings wire only exposes namespaces on its own allowlist, which a plugin cannot widen:

Route	Purpose
/api/dsh-gen-limit/config	read/write the limit rows
/api/dsh-gen-limit/catalog	live provider/model list
/api/dsh-gen-limit/stats	what is generating right now

What breaks this

llm/stream and tools/pre-execute are pre-1.0 internal seams with no compatibility guarantee. peerDependencies pins the versions this was built against; a harness upgrade can move them.

The transport half rests on the seam Node leaves for proxies: built-in fetch takes no per-call timeout options and reads its dispatcher from a global that undici's setGlobalDispatcher writes. Verified on Node 25.8.1 with undici 8.10.0 — a 3s bodyTimeout installed this way killed a built-in fetch body at 3.5s, where the default had taken 301s. It is a convention, not a contract; a runtime that stopped honouring it would put the five-minute ceiling back, which is where things stood before this existed.

The settings nav glyph is a deliberate reach past the API. settings.section has no icon option — the shell picks the glyph from a hardcoded section-id map (ui-settings-general navIcon) and falls back to the gear for ids it does not know, ours included. So the client half repaints its own row: it finds the nav cell by label and swaps the gear's path geometry for the official IconBranchOutline16 path, mutating the attribute rather than replacing the node so React re-renders over it without restoring the gear. It fails safe — if the shell's markup moves, nothing matches and the row keeps the gear.