dsh-web
zhu1090093659/dsh-webDeepSeek Harness(DSH)Web 插件聚合生态包 · 一切皆插件,创意工坊分发(dsh-market.com)
Deployment-level deadlines for dsh tool calls that declare none: mounted on the tools/execute waterfall, it turns a silently wedged tool call into a model-visible TOOL_DEADLINE_EXCEEDED.
A cordis plugin for the DeepSeek Harness (dsh)
that puts a deadline on tool calls that declare none — the calls for which
nothing in the harness arms anything today.
input: user "keep working on the migration until it is done"
assistant tool_calls: [subagent(prompt="...") id=call-1]
⋯ nothing in the log, nothing on screen, turn still "running"
A tool call is bounded exactly when its own definition says so.
ToolDefinition.timeoutMs is optional ("Cooperative tool-call timeout budget in
milliseconds. Omit for no deadline"), and the core enforcer
(@deepseek-ai/dsh-tool-call-timeout-policy, mounted by the base bundle) opens
with if (timeoutMs === undefined) return next(). Omit the field and nothing
arms anything — not a timer, not a signal, not a diagnostic.
That omission is the norm rather than the exception. Of the 40 non-test source
files calling defineTool( at dsh-v0.1.6-alpha.2, 26 contain no timeoutMs
at all — 25 shipped tool modules plus the test fixture helper — among them
tool-subagent (delegation), mcp-resources (tools owned by someone else's
server), tool-terminal, tool-ask-user, the fs read/write/edit tools, and
tool-workflow / tool-ralph / tool-todo / plan-mode. Two of those are
exactly where a long-horizon run spends its time: a delegation whose child never
settles, and a tool on the far side of a network boundary.
The symptom is not an error. It is a turn that keeps rendering as running with
nothing anywhere to explain it. Compare the model call: the provider adapters
announce a stall (DEFAULT_STREAM_IDLE_TIMEOUT_MS = 300_000, re-armed per chunk
by idleWatchdog), so silence is the signature of a wedged tool call, not a
wedged model call. Reported as discussion
#7339
("long-horizon tasks stall with nothing in the output"), and adjacent to
#6226 (a
foreground subagent call whose child process had already exited).
Mounted, the same call ends with something the model can act on:
tool_result [error] "tool call to "subagent" timed out: it exceeded the
600000ms deadline supplied by the tool-deadline-guard mount,
and the tool declares no timeoutMs of its own"
0.2.0 adds the other half. A call can also hang before it is dispatched,
where no declared budget and no tools/execute wrapper can reach it — see
The other half. The
same mount now covers that phase too, under its own code
(TOOL_PRE_EXECUTE_DEADLINE_EXCEEDED), so a deployment can tell a body that ran
too long from a body that never ran at all.
npm install @argszero/cordis-plugin-tool-deadline-guard
In a cordis.yml / profile bundle, add the row (or merge this package's
cordis.patch.yml, which contains the same one):
- insert:
- id: tool-deadline-guard
name: '@argszero/cordis-plugin-tool-deadline-guard'
With no configuration it bounds every tool that declares no timeoutMs at ten
minutes and dispatches every other call untouched.
| field | default | meaning |
|---|---|---|
mode | auto | auto arms deadlines; observe reports what it would bound and dispatches unchanged; off registers nothing |
defaultTimeoutMs | 600000 | budget for a tool that declares none (10 minutes) |
perTool | {} | per-tool budgets by resolved tool name; wins over defaultTimeoutMs |
exempt | [] | tool names this mount never bounds, whatever else is configured |
applyTo | undeclared | undeclared leaves a tool that declares timeoutMs to the core policy; all bounds every known tool |
onExpiry | cooperative | what an expiry does; see Honest limits |
preExecute | true | bound the phase before dispatch too; see The other half |
preExecuteTimeoutMs | defaultTimeoutMs | budget for that phase |
warnLimit | 5 | diagnostics emitted per mount; 0 silences them |
A budget must be a positive finite number ≤ 2147483647 (setTimeout's
saturation point): a larger value would fire immediately, so "no deadline" is
expressed by leaving a tool out of scope — exempt, or mode: off — rather than
by asking for infinity.
The plugin mounts on two documented public seams — tools/execute (the same one
the core policy uses) and tools/pre-execute (the phase in front of it) — and
for each dispatch:
ctx.tools.get(exec.name, exec.agent))
and decides whether to arm at all. An unknown tool is the registry's business
(UNKNOWN_TOOL), and there is no definition to weigh a budget against.AbortSignal.any([caller, own])) through exec.signal, exactly as the core
policy hands it its derived deadline.finally, so post-execute listeners and
every later wrapper never see this mount's (possibly already-aborted) signal —
the rule the core policy documents for the same reason.An expired body budget produces the shape the loop already understands —
isError: true with error.info.code === 'TOOL_DEADLINE_EXCEEDED' — under a
code this plugin owns, deliberately not the core policy's TOOL_TIMEOUT: a
deployment can then tell "the tool declared a budget and blew it" from "this
mount supplied a budget the tool never declared", which is the difference
between a tool bug and a deployment policy. ToolTimeoutError-style routing on
TOOL_TIMEOUT keeps working for declared tools and does not silently capture
these.
An expired pre-dispatch phase is a different fact, so it gets a different
code (TOOL_PRE_EXECUTE_DEADLINE_EXCEEDED) and a different shape (deny, not a
replaced result). See the next section.
timeoutMs bounds the body. It cannot bound the phase that runs in front of
the body, and nothing else does either: the core policy is a tools/execute
wrapper, so the tools/pre-execute waterfall completes before the policy is ever
reached. A listener there that awaits unbounded work therefore stalls every
call in the session with no timer anywhere in the tree — and a deadline mounted
on tools/execute is structurally unable to see it, because that waterfall is
never entered.
That is not hypothetical. @deepseek-ai/dsh-workspace-changes awaits the turn
recorder's snapshot queue inside tools/pre-execute before calling next()
(packages/deliverables/workspace-changes/src/index.ts:174-182), so every tool
call in the session waits behind it — and when the recorder's git subprocess is
the thing that wedged, the pending call names the tool while the wedge is
somewhere else entirely. Reported that way in
#9515 (git
checkpoints among the wedging channels).
Mounted, the same call is denied rather than left pending:
tool_result [error] tool call to "subagent" was not dispatched: the
pre-execute phase exceeded the 600000ms deadline supplied
by the tool-deadline-guard mount
with error.info.code === 'TOOL_PRE_EXECUTE_DEADLINE_EXCEEDED'. The second code
is not decoration: it says the body never ran, so nothing the call would have
done has happened and the model may treat it as pure — which the body arm's code
cannot say, because there the body did run and did not finish.
Three things worth knowing before turning it on:
applyTo does not apply to this arm, on purpose. That field exists to stop
this mount racing the core policy over one body budget; a tool that declares
timeoutMs still has an unbounded pre-dispatch phase, so it is bounded here
like any other. exempt does apply.prepend: true is what makes it order-independent. Registered in the
default position, a deadline mounted after a wedging listener would sit
inside the wedge and never be reached at all; prepended, its race encloses
whichever listeners are already there (both orders are exercised by the suite).preExecute: false turns the arm off for a deployment that would rather
keep the pre-dispatch phase unbounded.It does not race by default, so it cannot free a tool that ignores its
signal. timeoutMs is a cooperative contract: declaring it asserts that the
tool forwards exec.signal to an implementation that reaches quiescence when the
signal aborts. A tool that never looks at its signal cannot be unblocked from
this seam — the wrapper awaits the tool's promise, and a promise that never
settles keeps the wrapper (and the turn) waiting. In cooperative mode an expiry
is therefore converted into the structured error after the call has settled,
which is what keeps the invariant that a committed tool/result corresponds to
work that has stopped, and never before. Measured on a fixture that ignores its
signal with a 60 ms budget (probe-seam.mjs): the call returned at 402 ms, and
only then did the wrapper report.
It cannot see why a call settled. A tool that honors the signal returns an
abort artifact; one that ignores it and finishes anyway returns its own late
result; both arrive here as "the promise resolved after the timer fired". The
core policy resolves that ambiguity by contract — the tool's author declared a
budget, so the tool promised to stop — and this plugin resolves it the same way
for a tool that declared nothing, which is a promise the deployment is making
on the tool's behalf. The consequence, stated plainly: a stubborn tool's late
successful result is replaced by the deadline failure. A tool whose late result
matters must be listed in exempt. The diagnostic claims only the timing
("x" settled after 402ms, past its 40ms budget; its result was replaced) and
never asserts that the tool observed the abort, because this seam cannot know
that.
onExpiry: 'replace' buys a usable turn with a weaker guarantee. The wrapper
returns the deadline failure as soon as its timer fires and lets the call keep
running, unobserved. It does not leave an orphan tool/call in the log —
the loop records a tool/result for the call it dispatched, ours
(packages/core/agent-loop/src/tool-calls.ts:282), so the transcript stays
balanced and the next request is accepted; the abandoned call's rejection is
captured into a value, so it cannot surface as an unhandled rejection in the host
process. What it does do is let a tool's side effects happen after the model
was told the call failed, so a model that retries may duplicate them. For a tool
that never settles, this is the only mode that returns at all.
applyTo: 'all' is for deployments without the core policy. The base bundle
mounts timeout-policy unconditionally, so on a stock profile undeclared is
the correct default: two wrappers racing one budget would produce two
contradictory codes for one call. all exists for a composition that dropped the
policy — and for the case where a tool's declared budget is larger than the
deployment is willing to wait.
npm test # tsc, then the wiring suite and the packaging guard
python3 mutations.py # each claim above, broken one at a time, must go red
node probe-seam.mjs # the body numbers above, against a real registry
node probe-pre-execute.mjs # the pre-dispatch seam, with and without the arm
node probe-tools.mjs # what a real ToolRuntime accepts and what a wrapper sees
node probe-peer-range.mjs # the peer ranges, read the way npm and pnpm each read them
test/cordis.spec.mjs mounts a real Cordis context, a real ToolRuntime and a
real tools/execute waterfall, with unmounted control arms that demonstrate
both defects (with no plugin, a tool that declares no budget and never settles
stays pending; a listener that awaits unbounded work before next() holds the
call before the body runs — and nothing reports either). mutations.py edits the
built artifact — never the source — and requires the suite to fail for each of
its eighteen mutations, so a claim no test actually holds cannot pass
unnoticed; it also reports NOT-APPLIED when a mutation's anchor no longer
matches the build, which is the same failure one step earlier.
test/packaging.spec.mjs asserts both directions of the manifest against the
shipped imports (a runtime import declared only in devDependencies is a
consumer's ERR_MODULE_NOT_FOUND; a declared package never imported widens the
install closure for nothing) and pins the audited peer ranges.
Requires tools/execute, tools/pre-execute, ToolDispatchExecution,
PreToolDecision, ToolDefinition.timeoutMs and ctx.tools.get(name, agent),
all present in @deepseek-ai/dsh-tools from 0.1.2-rc.1 onward. The suite is run
against two lines besides its own build — 0.1.7-rc.2 (+ cordis 4.0.4) and
0.2.1-alpha.2 (+ cordis 4.0.5-alpha.1); 26/26 each. @deepseek-ai/cordis is a
peer; @deepseek-ai/schemastery is the only runtime dependency.
The peer ranges are written as one explicit segment per release line, because a
prerelease range is read two ways: npm excludes a prerelease unless a comparator
in the range names the same version tuple, while pnpm passes includePrerelease
and admits more for the same string. A range that only names the line it was
written on therefore installs under one package manager and ERESOLVEs under the
other — with the divergence made of exactly the releases people run on.
probe-peer-range.mjs is the audit, and test/packaging.spec.mjs pins its
result.
MIT