Pure-graph parallel dispatch runs all next-nodes concurrently whenever len > 1, ignoring each node's parallel flag
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opened 2026-08-03 21:50:26 +00:00 by CoreRasurae
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aditya (Aditya Chhabra)
aleenaumair (Aleena Umair)
brent.edwards (Brent Edwards)
CoreRasurae (Luis Mendes)
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#77 Epic: LLM Agent Runtime Stabilization — reliability, resource enforcement & correctness hardening
cleveragents/cleveractors-core
Reference: cleveragents/cleveractors-core#97
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Metadata
fix(langgraph): gate pure graph concurrent node dispatch on per-node parallel flagbugfix/m1-pure-graph-parallel-node-gateBackground and context
§6.7 (Parallel Execution) of the Actor Configuration Standard states: "The
graph-level
parallel_execution: trueflag declares that the graph mayexecute multiple ready nodes concurrently. The flag does not by itself cause
parallelism; each individual node MUST additionally declare
parallel: truein its node configuration to participate in parallel execution... Non-
parallel-marked nodes are executed sequentially." §12.3 (Concurrency)
reiterates: nodes MAY execute in parallel only when (a)
parallel_execution: true, AND (b) the next-node set has more than one element, AND (c) thenodes have
parallel: truein their config.PureLangGraphparses each node'sparallelflag (NodeConfig.parallel,default
False,nodes.py:106) and even ships a correct helpercan_execute_parallel()(nodes.py:922-924) — used correctly by the older,unused LangGraph-dependent engine at
langgraph/graph.py:296-299. However,the three concurrent-dispatch sites in the actively-used pure-graph engine
(
src/cleveractors/langgraph/pure_graph.py, inexecute()at line 1078, andboth
execute_stream()branches at lines 1860 and 1965) never call it:This fires every candidate next-node concurrently whenever the
graph-level flag is on (the default) and there is more than one candidate —
regardless of whether any individual node opted in via
parallel: true.No node in
packages/porting-actor-tools-graph-no_prune-single_thread-skills_b.yamldeclares
parallel: trueanywhere, and itsmainroute setsparallel_execution: true. Whenever_get_next_nodes()returns more thanone candidate for that graph (see companion issue #95, whose
content_not_containsdefect is one way this happens), both candidates runconcurrently via
asyncio.gather/asyncio.create_task, even though thegraph draws a strict sequential chain. This was observed in a real run: the
tool calls for
code-review-fixes1andui-coder-designerinterleaved inthe log instead of running strictly one after another.
This is a distinct, independent contract violation from #95 — it would
surface for any graph that legitimately produces 2+ next-nodes (e.g. a
genuine fan-out with only some nodes marked
parallel: true), not only thespecific
content_not_containsscenario.Current behavior
_get_next_nodes()returns 2+ candidates and the graph-levelparallel_executionistrue(the default), all candidates aredispatched concurrently via
asyncio.gather, with no check of each node'sown
parallelconfig flag.NodeConfig.parallel/can_execute_parallel()are parsed and availablebut never consulted by the active pure-graph engine.
Expected behavior
parallel: trueon the node itself should run concurrently (joined viaasyncio.gather); the remaining non-parallel-marked nodes should runsequentially.
parallel_execution: falseat the graph level, all nodes runsequentially regardless of their individual
parallelflags (this outergate is already correct — only the per-node gate is missing).
Acceptance criteria
parallel: true, all executesequentially (one completes before the next starts) even when
parallel_execution: true.parallel: trueand othersdon't, only the
parallel: truesubset runs concurrently viaasyncio.gather; the remaining nodes run sequentially, per §6.7 steps1-4.
parallel_execution: false, all nodes run sequentiallyregardless of individual
parallelflags (no regression).pure_graph.py(execute()and bothexecute_stream()branches).Supporting information
docs/index.md§6.7 (Parallel Execution), §12.3 (Concurrency).src/cleveractors/langgraph/pure_graph.pylines 1078, 1860, 1965(dispatch sites);
NodeConfig.parallel(defaultFalse);can_execute_parallel()helper (correctly used by the unusedlanggraph/graph.pyengine, unused inpure_graph.py).packages/porting-actor-tools-graph-no_prune-single_thread-skills_b.yaml— no node declares
parallel: true; the route setsparallel_execution: true.client/test_app.pyrun: interleaved tool calls fromcode-review-fixes1,ui-coder-designer, andcode-adjustments-classifier1where the graph places them strictly sequentially.
by the separately-filed
content_not_containscondition bug (#95), whichis what produces the 2+ candidate set in this particular graph — but this
dispatch-gating defect is independent and would surface with any 2+
candidate set regardless of cause.
Subtasks
next_nodes/content_next_nodesto the subset wherenode.can_execute_parallel()is true at all three dispatch sites insrc/cleveractors/langgraph/pure_graph.py(lines 1078, 1860, 1965);gather only that subset concurrently, execute the remainder
sequentially.
non-parallel, no-node-marked-parallel, and
parallel_execution: falsecases.
complete in declaration order (via shared state ordering) when none
are marked
parallel: true.nox -s coverage_report.nox(all default sessions), fix any errors.Definition of Done
This issue is complete when:
Metadata exactly.
@tdd_issue/@tdd_issue_N) passeswith
@tdd_expected_failremoved.master, reviewed, and merged.