Design — a response cut at max_tokens is named by both agent executors (#108, #100, #101)

Status: IMPLEMENTED — aimon-core (at.aimon.core.agent.budget.TruncatedResponses and the cut-response branches of OrcaAgentExecutor and DefaultSubagentExecutor), three statements in aimon-llm-anthropic, and the records: §16.8 and §16.10 of thinking-reporting-and-dialect-records.md, backlog L-16 (closed), L-22 and L-23. Sources: issues #108, #100 and #101.

§11, appended after the build, is where this document departs from what was built. Everything between this header and §11 is the body as approved in design review round 1 (PASS, no blocking findings, ten non-blocking), kept byte-exact rather than corrected — the house habit in this directory, for the reason ../llm/model-capability-binding-round-trip.md gives. Its file:line citations are at main 9b642cc. The review transcript and run records it names (review-1.md, $RUN_DIR/build/, TASK.md) are not in the repository; §11 reproduces what was measured.

What this work left open is in ../../backlog/llm-config-surface-open-items.md, L-22 and L-23.

Run max-tokens-truncation-reporting · base main at 9b642cc · 2026-09-11.

Every file:line below was re-read at 9b642cc for this design. Line numbers in files this change edits will move. The build re-cites them, and the records cite by class and method name wherever a line would drift.

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1. The problem, in one paragraph

Both agent ReAct loops handle the provider-neutral StopReason badly. The main executor (OrcaAgentExecutor) reads it in exactly one place, behind !response.hasToolUses(). It names a cut there, but only for a final response with no tool call: CompletionReason.TRUNCATED, a marker and a WARN. A response that stopped at max_tokens with tool calls is dispatched as it is. On the streaming path a tool_use block becomes a tool call the moment it starts, and its cut arguments parse to an empty map. So the operator sees a tool that failed, or ran with defaults, and nothing that says max_tokens (#108, backlog L-16). The subagent fork (DefaultSubagentExecutor) never reads the stop reason at all. A fork's final answer cut mid-sentence reaches its parent as COMPLETED (#100), and its cut tool calls run the same way. The record of #89's decision, §16.8 of docs/design/llm/thinking-reporting-and-dialect-records.md, and L-16 both describe only the main executor. They also overstate three things: who reaches the Anthropic client's own blocking-path WARN, whether one divergence register is shared by every divergence, and what theOtherTwoConditions pins. Three statements in aimon-llm-anthropic code over-claim in the same way (#101). This change makes both executors give one answer to StopReason.MAX_TOKENS, in both shapes, and then corrects §16.8 and L-16 once to say what the code does afterwards.

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2. What the code does today (verified at 9b642cc)

2.1 Main executor — OrcaAgentExecutor

Fact	Where
The only read of LlmResponse.getStopReason() is inside if (!response.hasToolUses())	:1737-1753 (read at :1742)
That branch appends TRUNCATION_MARKER ("\n\n[System: response truncated at max_tokens]"), emits ExecutionCompleted(TRUNCATED) and returns success(…, TRUNCATED) — isSuccess() true, isSuccessful() false	:217, :1744-1752, createTruncatedResult :2287-2301
Its WARN: Agent execution truncated at max_tokens after {} iterations; surfacing flagged partial answer	:2289-2290
A response with tool calls goes to executeToolUses, and no stop reason is read on that path	:1768-1770, :2101-2126
Before that, the skill pre-flight scan may suspend the turn for approval of a Skill call	:1722-1734
Streaming overlap may already have started calls from the response: TOOL_USE_READY → StreamingToolScheduler.onToolUseReady, only for CONCURRENT_SAFE tools, and discardEagerToolUses exists for the suspend path	:3163-3172, StreamingToolScheduler.java:93, DefaultParallelToolDispatcher.isEagerEligible, :2229-2234
The loop already answers a call it will not run: once a turn is interrupted, toolRunner returns ToolUseResult.error(id, INTERRUPTED_TOOL_SKIP_MESSAGE) — no hooks, no execution — and the dispatcher still fires ToolUseStarted / ToolResultReady	:2155-2167, :233-234, :2123-2125
Death-spiral guard: three consecutive iterations whose tool results are all errors end the turn as ERROR	:226, :1799-1808, isStalledIteration :2483-2485, handleStalledIteration :2509-2526
Every call, blocking or streaming, carries a live SignalBackedLlmCancellation	:1529, blocking :2987-2988, streaming :3011

2.2 Fork — DefaultSubagentExecutor

Fact	Where
!response.hasToolUses() → createSuccessResult(…, COMPLETED), with no stop-reason read anywhere in the class	:441-445, :865-879 (the only getStopReason is BudgetTracker's, :900)
Tool calls are executed as they arrive	:448-459
No death-spiral guard: the loop ends at maxIterations, a budget stop, cancellation or an error	:386-470
It passes a live SignalBackedLlmCancellation to the gateway's six-argument overload, so on both providers it takes the streaming path — this answers #100's "not traced"	:377, :419-420; AnthropicLlmClient.java:282-286; OpenAILlmClient.java:210-213
Progress stream ends a success with [completed: SUCCESS after N iterations], which only DefaultSubagentExecutorTest:326 reads	:875-876
Its javadoc promises ReAct-loop parity with OrcaAgentExecutor	:97-100

2.3 Streaming and the providers

Fact	Where
Anthropic registers a tool slot when the tool_use block starts	AnthropicStreamingMapper.java:171-175
TOOL_USE_READY is emitted only on content_block_stop	AnthropicStreamingMapper.java:247-253
Every slot with an id and a name becomes a ToolUse; empty arguments give Map.of() silently, and unparseable ones give a WARN (with the raw JSON) and an empty map	ChunkAggregator.java:247-253, :287-298
The stream's stop reason reaches LlmResponse through STREAM_END	ChunkAggregator.java:97-102, AnthropicStreamingMapper.java:293-298
Thinking tokens land in TokenUsage.getReasoningTokens() on both Anthropic paths (usage.output_tokens_details.thinking_tokens)	AnthropicStreamingMapper.java:303, :358; AnthropicUsages
OpenAI maps length / incomplete: max_output_tokens to StopReason.MAX_TOKENS on both endpoints	OpenAiStopReasons.java:33, OpenAiResponseStopReasons.fromStatus
OpenAI Chat and Responses streams also register slots before the arguments finish	OpenAIStreamingMapper.java:112, OpenAIResponsesStreamingMapper.java:170

2.4 Who reaches the clients' own truncation WARNs

AnthropicLlmClient.convertResponse WARNs Anthropic response was truncated due to max_tokens limit (:786). Its one caller is the four-argument blocking sendMessage (:225 → :249). LlmClient's five-argument default delegates to that overload (LlmClient.java:93-96). The six-argument overload reroutes to the stream whenever the token isSupported() (:282-286). OpenAI's two WARNs (OpenAIChatCompletionsExchange.java:84-85, OpenAIResponsesExchange.java:99-100) sit in the same position (OpenAILlmClient.java:210-213).

• Neither executor reaches them: both pass a live token (§2.1, §2.2).
• Callers of the blocking overloads do reach them. Several of those run during an agent's execution. A first grep at 9b642cc (git grep -n -E '[A-Za-z]+\.sendMessage\(' -- 'modules/*/src/main/**', four- or five-argument forms only) finds:
• DefaultCompactionEngine.java:223-224 (five-argument, #101's example)
• LlmSkillExecutor.java:185, :213
• LlmDialecticEngine.java:98
• RandomWalkDreamer.java:263
• DefaultReconciler.java:168
• LlmJudgeSurprisalScorer.java:111
• LlmDeriver.java:167, :196
• ReActLlmDeriver.java:195
• wiki: LlmRerankSearchStrategy.java:283, LlmSynthesisStrategy.java:290, LlmWikiAnswerStrategy.java:132, LlmWikiLintStrategy.java:152, LlmWikiPageGenerator.java:286/:316/:354, LlmWikiPageMerger.java:128

The records must be recounted with backlog rule six (both sendMessage( and ::sendMessage), not copied from this list. - The only main-source callers that get a stream are the two executors: OrcaAgentExecutor.java:3011 directly; LlmCallGateway.java:568 and the decorators only forward; and the six-argument reroute serves callers holding a live token, which are the executors.

2.5 Constraints that shape the design

Constraint	Where	Consequence
at.aimon.core.agent.impl.. must not be referenced from outside at.aimon.core.agent.. (main classes only)	PackageDependencyArchitectureTest.java:318-320, :146	The fork cannot use OrcaAgentExecutor.TRUNCATION_MARKER. A shared definition needs a neutral home (D5)
OrcaAgentExecutorTruncationTest.maxTokensWithToolUsesIsNotTreatedAsTruncated says, in its comment, that such a response "goes through the normal tool-execution path". Its assertions (COMPLETED, "done") do not observe whether the tool ran	:109-130	It stays green under either decision. Backlog rule five needs a new assertion that fails first
Consumers of a fork's completion reason: AgentStepResult.isComplete() is COMPLETED-only; the workflow step cache saves only isSuccess() && COMPLETED; TaskResult / JsonTaskResultCodec persist the name; TaskTool prints getStatus() (SUCCESS/FAILURE from isSuccess()) and getSummary()	AgentStepResult.java isComplete; docs/design/workflow/workflow.md:345-347; TaskResult.java:116; TaskTool.java:612, :621	A fork that starts reporting TRUNCATED changes what a workflow does with that step — a CHANGELOG item
Two more tool loops never read the stop reason: LlmSkillExecutor (while (currentResponse.hasToolUses()), :191) and ReActLlmDeriver (:188-215). Both call the blocking overload, so on either provider the client WARN names the cut, but a cut tool call still runs	as cited	Out of this change's scope (§8). The records say "both agent executors", never "every path"

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3. Decisions

Each decision below gets its own heading in the PR body, in this form: taken / rejected / why.

D1 — A tool call in a response that stopped at max_tokens is not executed

Taken (B1): when StopReason.isTruncated() and the response carries tool calls, none of them runs. Each tool_use is answered, in order, with exactly one error ToolUseResult carrying one fixed text. Results are committed after the assistant message exactly as executed results are, since every tool_use must be answered. The loop then continues.

The refusal, precisely:

• Nothing on the tool path runs. There is no permission check, no PermissionRequest/PreTool/PostTool hook, no ToolExecutionManager and no TOOL span. This is the same shape as the interrupt skip (§2.1).
• The main executor emits ToolUseStarted then ToolResultReady for each refused call, so an event consumer (the REPL) shows the failed call and its reason — as the interrupt skip does through the dispatcher callbacks. The fork writes → name / ← name [error] plus the text to its output sink, as its executeToolUses does.
• Eager work from the response is discarded first (discardEagerToolUses). An eagerly started call is CONCURRENT_SAFE by the eligibility rule, so it may already have run; its result is dropped.
• The skill pre-flight scan is skipped for a cut response, so a cut Skill call never asks a person to approve it.
• The stalled-iteration guard counts it. A refused iteration is all-error, so three cut responses in a row end the turn as ERROR without a new counter (open question Q1 asks whether that should be TRUNCATED).
• The operator's WARN names max_tokens, the iteration and the tool names (not their arguments), and adds the reasoning-token clause from D2 when there is one.

The model-facing text (build may polish; it must keep all three parts):

Not executed: your response was cut off at the max_tokens output limit before it finished, so its tool calls may be incomplete, and none of them were run. Sending the same calls again will be cut off the same way. Produce less output in one response: make fewer tool calls at once, or split a large argument across several smaller calls.

It names max_tokens. It says the call was not run. It does not invite repeating the same call, and it names the two edits that fit under the limit.

Why:

1. A cut call's arguments are not partial, they are absent. Partial JSON fails to parse and becomes an empty map (ChunkAggregator.java:287-298); a call cut before any argument is an empty map silently. So "execute the truncated call" means running the tool with none of the arguments the model was writing. A tool whose parameters are all optional does something nobody asked for. A tool with required parameters still runs under the default SchemaValidationMode.WARN (DefaultToolExecutor.java:194-201) and fails with "missing parameter", which invites re-issuing the same call — the loop the task names.
2. The loop already has this shape for a call it will not run (the interrupt skip). The model learns a call failed through a tool_result, and that channel can carry the reason.
3. It is bounded without new machinery in the main executor (the stall guard). In the fork, it is bounded by the same things that bound a fork today (maxIterations, budget).
4. It needs nothing but StopReason, so it is the same answer for every provider that maps its cut to MAX_TOKENS.

Rejected:

• A — keep executing, add a WARN. Reason 1: runs calls with empty arguments, and the model's error invites the same call again. The operator would be told, but the model would not.
• B2 — run the complete calls and refuse only the cut one. The neutral LlmResponse does not say which call was cut. Anthropic and OpenAI Chat stream calls in order, so "the last one" is likely, but that is a provider fact the executor cannot see, and guessing wrong runs a call with empty arguments — the defect being fixed. Streaming overlap would also make it a partial harvest that mixes eager and refused results. B1's cost is small by comparison: complete calls in a cut response are re-issued one iteration later, and "make fewer tool calls at once" is also the remedy for the squeeze.
• C — end the execution as TRUNCATED at the first cut tool call. It throws away the recoverable case: a large Write argument can be split across calls, and only the model can do that. TRUNCATED also promises a partial answer with the marker, and a cut tool call has no answer to surface.

D2 — Detect in the executors, from StopReason.isTruncated(); attribute through TokenUsage.getReasoningTokens()

Taken: each executor asks one shared predicate (D5) whether the response's stop reason is truncated, and branches on that for both shapes. When the cut response's TokenUsage.getReasoningTokens() is above zero, the WARN adds a clause such as ; 3990 of its 4000 output tokens were reasoning, so reasoning may have used most of the max_tokens allowance. When it is zero or unreported, the clause is omitted and the WARN reads as it would without the feature, so the non-thinking case gets no worse. The clause goes on all three truncation WARNs (turn answer, turn tool calls, fork answer and fork tool calls), from the cut response's usage, not the accumulated one.

Why:

• The executor is the one place every path passes through: blocking with no live token, blocking rerouted to a stream, and streaming.
• StopReason exists so core can decide this without provider vocabulary (its javadoc). L-16's recorded shape is exactly this.
• Attribution through the neutral fourth counter works on both Anthropic paths (§2.3) and on any provider that fills it. OpenAI's usage converters appear to fill the same counter; the build verifies, and where one does not, the clause is simply absent.

Rejected:

• Stream aggregation (ChunkAggregator drops or marks slots when STREAM_END says MAX_TOKENS). It would not reach the blocking paths. It also cannot decide policy: the aggregator builds LlmResponses for every streamed caller, and dropping tool uses there silently turns a cut tool response into a text-only final answer.
• A per-ToolUse "complete" flag set by the mappers. It changes a public value type and three mappers to carry information D1 does not need. It would only exist on streaming paths.
• Attribution from Anthropic's wire field inside aimon-llm-anthropic. Provider-specific, and the executor never sees it.

D3 — Keep the blocking-path WARNs where they are

Taken: AnthropicLlmClient.java:786 and OpenAI's two WARNs stay, unchanged. The records are corrected to say who reaches them (§2.4).

Why:

• Removing it takes the only signal from its real audience: compaction, skill LLM execution, memory and the wiki (#101 item 1).
• Moving it to (or duplicating it in) the stream adds no audience. The only main-source callers that get a stream are the two executors (§2.4). After D1/D4 they log a WARN with the iteration, the tool names and the reasoning clause; a client line on the stream would double every one of those and tell nobody anything new.

Rejected: remove; move to AnthropicStreamingMapper; duplicate in both.

D4 — The fork reports a cut final answer exactly as a turn does, and shares D1

Taken:

• A fork's final response with no tool calls and a truncated stop reason ends with the shared marker appended, both in the transcript and in the answer.
• It logs a WARN: Subagent '{}' final answer truncated at max_tokens after {} iterations; returning flagged partial answer{reasoning clause}.
• OnStop hooks fire with success=true and the flagged answer, as OrcaAgentExecutor.createTruncatedResult does.
• The progress stream ends [completed: TRUNCATED at max_tokens after N iterations]; nothing but a success-path test reads the old literal.
• It returns SubagentExecutionResult.success(flagged, snapshot, metadata, CompletionReason.TRUNCATED, cost).
• A cut tool response in the fork is refused as in D1, with the same text, WARN shape and order.

Why:

• Every consumer of a fork's answer needs to know it is partial: a parent model reading the Task summary, a workflow judge reading AgentStepResult.isComplete(), a background task record. TRUNCATED is a value those consumers and codecs already carry.
• success(…) rather than failure(…) matches the turn's shape. It keeps the partial text in getSummary(), where failure would replace it with an error message.
• The class promises parity (§2.2), and no reason for a difference was found. The issue group exists because two executors gave two answers.

Rejected:

• failure(…, TRUNCATED) — loses the partial text for the parent, and diverges from the turn.
• Record the difference as deliberate — there is no reason to record.
• The fork executes cut calls — D1's reasons apply unchanged.

What stays different, and is written down rather than fixed: the fork has no stalled-iteration guard, so repeated cut tool responses in a fork run to its maxIterations or budget. That gap predates this change and has nothing to do with max_tokens; §8 routes it.

D5 — One shared definition, in a new at.aimon.core.agent.budget.TruncatedResponses

Taken: a new public final utility class. It holds the marker text, the refusal text, the truncation predicate and the reasoning clause (shape in §5). OrcaAgentExecutor.TRUNCATION_MARKER keeps its name and value and is initialised from the shared constant, so it stays a compile-time constant. Both executors and both executors' tests reference the shared constants, which is what pins parity.

Why:

• ArchUnit forbids the fork from referencing OrcaAgentExecutor (§2.5).
• at.aimon.core.agent.budget already holds CompletionReason, the terminal cause including TRUNCATED. Its package doc says it lets callers "interpret why an execution ended", and it already depends on at.aimon.core.llm (BudgetTracker.recordTokens(TokenUsage)), so no new package dependency pair appears.
• No sibling run touches agent/budget/**; this run owns its CompletionReason.java.

This is a new file (plus one bullet in agent/budget/package-info.java) outside the paths TASK.md lists. It is flagged for the review gate as Q3.

Rejected:

• at.aimon.core.agent.loop — neutral and made for "both loop drivers", but its package doc says its types "never participate in control flow", and this one does.
• A private literal in each executor, pinned equal by a test — two definitions of model-facing text, which is the drift this issue group is about.
• Constants on CompletionReason — unrelated members on a public enum.
• at.aimon.core.llm — the text addresses the agent loop's model, not an LLM client.

D6 — #101 item 3: add the missing paths rather than narrow the sentence

Taken: every missing path is one assertion row in AnthropicThinkingResolverTest.ClampWarningCoverage.theOtherTwoConditions (:353-391), which is the case the task prefers. Expected directions, derived from AnthropicThinkingResolver.resolve / resolveDialect / resolveNamedDialect:

New row	Dialect sent	Expected
AUTO on EITHER	ADAPTIVE (AUTO picks adaptive for EITHER)	no thinkingBudgetClamped — condition 1 fails
EXTENDED on ADAPTIVE	translated to ADAPTIVE, no budget	no thinkingBudgetClamped
ADAPTIVE on ADAPTIVE	ADAPTIVE	no thinkingBudgetClamped
ADAPTIVE on EITHER	ADAPTIVE (named mode honoured)	no thinkingBudgetClamped
ADAPTIVE on undescribed	ADAPTIVE (named mode honoured)	no thinkingBudgetClamped
condition 2 at maxTokens 1024 and 512 on each budget-sending path: EXTENDED on BUDGETED / EITHER / undescribed, ADAPTIVE translated onto BUDGETED	budgeted, but no legal budget	type none; thinkingBudgetImpossible=<maxTokens> present; no thinkingBudgetClamped. Use contains, not containsExactly: the translated path also records thinkingDialectTranslated=…

If any row contradicts §16.8's condition 1 or 2 when run, that is a finding against §16.8, recorded in §16.10. The test is not bent to fit. With the rows in, §16.8's "conditions 1 and 2 path by path in both directions" becomes true as written, and §16.10 says it was not true when merged.

D7 — How the records are corrected

• §16.8 is edited in place so it says what the code does. A new §16.10 records each statement that was false, what is true, and what now reads differently — the bullet form of §16.7 and §16.9.
• §16.9's fifth bullet ("From an agent it never fires") carries the same over-reach as #101 item 1. It gets a dated pointer to §16.10 rather than a rewrite, following §16.8's own precedent of dated pointers into earlier subsections.
• L-16 is closed with a ### 닫힘 (2026-09-11, #108 · #100 · #101) subsection, in the shape of L-6 and L-12. Its registration body is not rewritten: backlog rule two says a wrong basis stays written, marked wrong. A dated > **정정** blockquote directly after its table names the two rows that were wrong.
• Record language: §16 is written in English; the L-16 register text is Korean.

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4. Concrete changes, by module and file

4.1 aimon-core — main

agent/budget/TruncatedResponses.java (new) — see §5. Stateless, no logger, no instances. Also one bullet in agent/budget/package-info.java's type list.

agent/impl/orca/OrcaAgentExecutor.java

• Compute truncated once, right after token and cost accounting (~:1686-1704).
• Skill pre-flight (:1722) gains && !truncated.
• The final-answer branch (:1737-1763) uses that variable; its behaviour is unchanged.
• The executeToolUses call (:1768-1770) becomes a conditional. Everything after it stays as it is: the artifact slice, the assistant commit, the tool-result commit, the stall guard, the queue drain and the iteration-tail checks.

final List<ToolUseResult> toolUseResults = truncated
        ? refuseTruncatedToolUses(scope, response, iterationCount)
        : executeToolUses(scope, toolContext, response.getToolUses(), iterationCount, coordinator, sessionRegistry);

• New private refuseTruncatedToolUses:
• discardEagerToolUses(scope)
• one WARN (D1, D2)
• per tool_use, in order: emitToolUseStarted, then ToolUseResult.error(id, TruncatedResponses.REFUSED_TOOL_CALL_MESSAGE), then emitToolResultReady
• return the list
• createTruncatedResult's WARN (:2289) gains the reasoning clause from the cut response's usage.
• TRUNCATION_MARKER (:217) is initialised from TruncatedResponses.TRUNCATION_MARKER; its javadoc points there.
• The javadoc on MAX_CONSECUTIVE_STALLED_ITERATIONS / isStalledIteration gets one sentence: a refused cut response counts as stalled.

subagent/execution/DefaultSubagentExecutor.java

• Compute truncated after cost accounting (~:425-438).
• In the final-answer branch (:441-445), when truncated: commit Message.assistant(flagged).withReasoningTraces(…) and return a new private createTruncatedResult (D4). Otherwise unchanged.
• The tool path (:447-459): the assistant commit and preamble stay; executeToolUses(…) becomes truncated ? refuseTruncatedToolUses(lc, response, iterationCount) : executeToolUses(…).
• The new private refuseTruncatedToolUses logs the WARN (with the subagent name), streams → / ← per call using the existing formatStreamedToolResult, and returns the error results.
• Class javadoc: one sentence that max_tokens handling matches the main executor's.

agent/budget/CompletionReason.java — javadoc only.

• TRUNCATED covers a turn or a fork.
• The partial text carries TruncatedResponses.TRUNCATION_MARKER.
• A response cut inside a tool call does not end the execution with TRUNCATED: its calls are refused and the loop continues.

subagent/execution/SubagentExecutionResult.java — javadoc only, on getCompletionReason() (:336-352), which is where subagent results are documented: add TRUNCATED (partial answer with the marker; isSuccess() still true, as on a turn).

4.2 aimon-llm-anthropic

AnthropicThinkingBudgets.java:122-124 — javadoc. Replace "HIGH clamps to 4095 out of the box" with a condition, phrased like §16.8's condition 2: "so HIGH clamps to 4095 whenever the call's LlmModel sets no maxTokens and AnthropicConfig.Builder.maxTokens(int) was not used". A CLI agent definition that sets model.maxTokens does not clamp.

AnthropicThinkingResolverTest — the rows in D6.

AnthropicThinkingDialectTest.java:374-375 — narrow the comment to what warnings() reads (the appender on AnthropicLlmClient's logger, :140-143), e.g. "a new line from AnthropicLlmClient on these requests, whatever it says". No assertion change.

AnthropicThinkingBudgetsTest.java:89 — rename aBudgetThatFitsByOneTokenIsNotClamped so the method name covers both halves the display name already covers, e.g. aBudgetUnderMaxTokensIsSentAsAskedAndOneAtMaxTokensIsClamped. Do not split it: its comment reads the four rows as one table. A grep found no citation of the old name outside the test.

4.3 aimon-llm-openai

No change (D3).

4.4 Docs

docs/design/llm/thinking-reporting-and-dialect-records.md (no translation twin)

• §16.8, "Emitted is not the same as logged" (:1403-1407). Say the once-per-signature register (reportedDivergences) is shared by the divergences the client reports once. Say traffic conditions go to the second register recurringDivergences and are reported at the 1^st, 10^th, 100^th… occurrence. Re-cite MAX_REPORTED_DIVERGENCES, both fields and both report methods; :681 no longer matches reportDivergence (now :677).
• §16.8, reason 3 (:1459-1473). Rewrite to "reported when it happens … in both shapes, by both agent executors":
• a cut final answer → TRUNCATED + marker + WARN, on a turn and on a fork;
• a cut inside a tool call → no call runs, each gets an error result naming max_tokens, a WARN names max_tokens with the reasoning clause, and three in a row end a turn through the stall guard (a fork has no guard);
• the client WARN: its one caller is the blocking overload. The two executors never reach it, because both pass a live token. Callers of the blocking overloads do reach it, several during an agent's execution; name them from the rule-six count, and say it is kept (D3).

Cite classes and methods, not the executor's moving lines. - §16.8, "The cost" (:1480-1486). Replace "when the cut lands inside a tool call, not even that … (L-16)" and "The silence on a cut tool call is not accepted; it is open as L-16" with what happens now, pointing to §16.10. - §16.8, "What would re-open this", last bullet (:1495-1498). The truncation report changed in #108/#100 without touching this warning. Changing the report is not a trigger. - §16.8, "Where it is pinned" (:1500-1504). Keep "path by path in both directions" once D6's rows are in. Narrow "with no warning at all" to "with no warning from AnthropicLlmClient" — the same finding as #101's test-comment item, applied to the record. - §16.9, fifth bullet (:1526-1530). Append a dated pointer: (2026-09-11: narrower than that — §16.10.) - New §16.10 — ### 16.10 What §16.8 overstated, and the cut it left unnamed (#101, #108, #100, 2026-09-11). - An italic lead: not a change to #89's decision; option 3 stands; the clamp warning is untouched. - One bullet per false statement, in §16.9's form (what it said. what is true; what now reads differently): 1. the client WARN "does not reach an agent at all"; 2. "every other divergence"; 3. theOtherTwoConditions over-claimed; 4. reason 3's first shape held for the main executor only (#100); 5. reason 3's second shape was open (#108), now closed; 6. "no warning at all"; 7. the three code statements, one line each. - A short paragraph on what changed in code: D1 and D4 in one sentence each, pointing to CHANGELOG.md. - A line saying L-16 is closed. - If the optional probe ran, one sentence of what it observed. - ## 관련 문서 (:1550). "L-16 opened by §16.8" → "L-16 opened by §16.8 and closed by §16.10".

docs/backlog/llm-config-surface-open-items.md (Korean)

• L-16, after the table (:888). A dated > **정정** (2026-09-11, #101) blockquote:
• Row 3 ("닿지 않는다") is true of the two executors' calls only; the blocking callers reach it.
• Rows 1 and 2 describe OrcaAgentExecutor only; the fork never read the stop reason (#100).
• L-16, a new ### 닫힘 (2026-09-11, #108 · #100 · #101), following the README's closing rules:
• one-line summary of what happens now, on both executors;
• rule five: the prescription left execute-or-not open; D1 took "not executed", in one sentence with a link to §16.10. Attribution went through TokenUsage.getReasoningTokens(). The pre-existing test did not observe execution, so the new assertion failed first — state only what the build actually saw;
• rule two: the table corrections, pointing to the blockquote;
• counted now: OpenAI's two WARNs are bypassed the same way (OpenAILlmClient.java:210-213). The stall guard ends three consecutive refused responses as ERROR (name the test). The fork has no guard;
• rule three: severity — the live probe's result, or "still not observed; the decision does not depend on it";
• 어디: method names and a date.
• Register title (:1) and ## 관련 문서 line for this doc (:1098-1099). Recount the title from the body — never add to the old number. Siblings may land in between. If L-22 is registered (§8), it is counted too. Extend the related-docs line: "§16.10 이 L-16 을 닫은 기록이다".

docs/backlog/README.md — the llm-config-surface-open-items.md index row (:347), recounted from the body. Add one sentence to the running parenthetical at :376-378 saying which change closed L-16, with the recounted row.

docs/design/workflow/workflow.md (no twin; "wherever subagent results are documented")

• §4.2 (:210-213) says DefaultSubagentExecutor supplies four reasons "(COMPLETED / budget stop reason / MAX_ITERATIONS / INTERRUPTED)". Rewrite the parenthetical to what it supplies after this change: COMPLETED · TRUNCATED · budget stop reason · MAX_ITERATIONS · INTERRUPTED · ERROR. The ERROR omission predates this change; §8 notes it.
• (d) (:345-347): add TRUNCATED to the list of steps the cache does not store.

CHANGELOG.md [Unreleased] — a new ### section. Draft:

Agent loop: a response cut at max_tokens says so on both executors, and its tool calls are not run

• A tool call in a response that stopped at max_tokens is no longer executed (#108).
• Before: the main executor ran such calls, and a call cut mid-argument reached the tool with empty arguments. No log line, marker or completion reason said max_tokens.
• Now: none of the response's tool calls runs, and each is answered with an error result saying the response was cut at max_tokens and asking for less output per response.
• No permission check or PreTool/PostTool hook runs for them, and a cut Skill call no longer suspends the turn for approval.
• A call streaming overlap had already started from that response (only CONCURRENT_SAFE tools start early) has its result discarded.
• The loop continues; three such responses in a row trip the existing stalled-iteration guard and end the turn as ERROR.
• The operator is told.
• One WARN per cut response names max_tokens, the iteration and the calls not run.
• ToolUseStarted / ToolResultReady events carry the error.
• When the provider reports reasoning tokens, this WARN and the existing truncated-answer WARN say how many of the response's output tokens they were. When it reports none, the text is unchanged.
• A subagent fork's final answer cut at max_tokens is now TRUNCATED, not COMPLETED (#100).
• The same marker is appended and a WARN is logged; isSuccess() stays true, as on a turn.
• For such a step, AgentStepResult.isComplete() is false, the workflow step cache does not store it (a resume re-runs it), and background task results record TRUNCATED.
• A fork's cut tool calls are refused as above. Forks have no stalled-iteration guard, so repeated cuts end at the fork's maxIterations or budget.
• Unchanged:
• the Anthropic and OpenAI clients' own truncation WARNs, which callers of the blocking overloads (compaction, skill LLM execution, memory, wiki) still reach;
• CompletionReason and StopReason values;
• OrcaAgentExecutor.TRUNCATION_MARKER's name and text.
• Records. §16.8 of docs/design/llm/thinking-reporting-and-dialect-records.md is corrected and §16.10 added (#101). Backlog L-16 is closed.

No docs/migration/rename-maps.md entry: nothing is renamed. The test-method rename is not API.

---

5. Data and interface shapes

5.1 The new type

package at.aimon.core.agent.budget;

/** How an agent execution treats a response the provider cut at its max-output-token limit. Shared by both loops. */
public final class TruncatedResponses {
    public static final String TRUNCATION_MARKER = "\n\n[System: response truncated at max_tokens]"; // text unchanged
    public static final String REFUSED_TOOL_CALL_MESSAGE = "Not executed: …";                        // D1's text

    private TruncatedResponses() { }

    /** true iff the response carries a stop reason and it is StopReason#isTruncated(). */
    public static boolean isTruncated(LlmResponse response) { … }

    /** "" when usage reports no reasoning tokens; otherwise the WARN clause of D2, built from this response's usage. */
    public static String reasoningClause(TokenUsage usage) { … }
}

The build may add static ToolUseResult refusal(ToolUse) if both call sites want it. It adds nothing else public.

5.2 What does not change

• Types: StopReason, LlmResponse, ToolUse, ToolUseResult, TokenUsage, ChunkAggregator, LlmStreamChunk.
• Contracts and values: every LlmClient overload; CompletionReason values; SubagentExecutionResult and OrcaAgentExecutionResult factories.
• Persistence and wire: TaskResult, codecs, routing payloads; config keys, wire names, persisted identities.
• Constants: OrcaAgentExecutor.TRUNCATION_MARKER's name and value; MAX_CONSECUTIVE_STALLED_ITERATIONS.

5.3 What an observer sees change

Observer	Before	After
Tool with a cut call	runs with empty arguments	not called
Transcript after a cut tool response	assistant message + whatever the tools returned	assistant message + one error result per call with the refusal text
Events (main executor)	ToolUseStarted/ToolResultReady with the tool's result	the same two events with the refusal error
Hooks for a cut call	PermissionRequest/PreTool/PostTool fire	none fire
Log	at most the aggregator's parse WARN	one WARN naming max_tokens, the iteration and the calls
Fork, cut final answer	COMPLETED, no marker, no WARN, [completed: SUCCESS …]	TRUNCATED, marker, WARN, [completed: TRUNCATED at max_tokens …]
Workflow step with a cut fork answer	isComplete() true, cached	isComplete() false, not cached
Existing truncated-answer WARN	fixed text	same text, plus the reasoning clause only when reasoning tokens were reported

---

6. Failure modes

#	Situation	What happens	Accepted because
F1	A provider reports MAX_TOKENS although every call in the response was complete (cut after the last block closed)	the complete calls are refused; the model re-issues them next iteration	costs one iteration; the alternative is B2's guess (D1)
F2	A cut is reported as UNKNOWN or not at all (a gateway dropping the stop reason, an incomplete reason other than max_output_tokens)	no detection; calls run as today	StopReason's contract: UNKNOWN never changes behaviour. The records must not claim more than "a stop reason the provider maps to MAX_TOKENS"
F3	Every response is cut (a thinking budget that eats the allowance)	main: WARN ×3 with the reasoning clause, then ERROR from the stall guard. Fork: until maxIterations or budget	bounded as today; the WARNs name the cause (Q1 asks about TRUNCATED; §8 routes the fork's guard)
F4	Refused and genuinely failing iterations interleave	they share the stall counter, like any all-error iteration	the guard's meaning is "no progress", and neither made any
F5	Streaming overlap started a CONCURRENT_SAFE call from the cut response	it may have run; its result is discarded, and the transcript carries the refusal	the eligibility rule limits this to calls that are safe to run concurrently and drop
F6	A cut response contains a Skill call that would need approval	not suspended, refused	asking a person to approve a call with no arguments is worse; the next complete call goes through the scan as usual
F7	A hook or audit counts tool calls via PreTool/PostTool	refused calls are not seen	they did not run, as with the interrupt skip; named in CHANGELOG.md
F8	A consumer compares a fork's reason with == COMPLETED	a cut fork answer now reads "not complete"	that is the point of D4; named in CHANGELOG.md
F9	The reasoning counter is unreported or 0	clause omitted	no-worse rule (D2)
F10	The refused tool_use (input {}) and its error result are replayed on the next request	accepted by both providers	the same assistant shape is committed today; only the result content differs
F11	A trip lands while refusing	refusing does no blocking work; the existing iteration-tail check handles it	unchanged path
F12	Log volume	one WARN per cut response, bounded by the guard or iterations	a traffic condition, like the clients' recurring divergences; there is no config fact to say once
F13	LlmSkillExecutor / ReActLlmDeriver receive a cut tool response	unchanged: calls run, the client WARN names the cut	out of scope (§8, registered as L-22)

---

7. Test strategy

Order (backlog rule five): write each failing test against the current code first and see it fail for the stated reason. Then implement.

7.1 aimon-core — OrcaAgentExecutorTruncationTest (existing fixtures: SequencedLlmClient, NoopTool)

1. Keep maxTokensWithoutToolUsesIsFlaggedAsTruncated. Add endsWith(TruncatedResponses.TRUNCATION_MARKER) next to the existing literal contains(…), which pins that the text did not change.
2. Replace maxTokensWithToolUsesIsNotTreatedAsTruncated with a test that none of the calls runs.
3. A counting tool (AtomicInteger) is invoked 0 times.
4. A capturing client records the second call's messages; its last message holds exactly one error result whose content equals REFUSED_TOOL_CALL_MESSAGE and contains max_tokens.
5. The result is COMPLETED with "done".
6. A logback ListAppender on OrcaAgentExecutor catches a WARN containing max_tokens and the tool name.
7. Fails today: invocation count is 1, and there is no refusal.
8. Two calls in one cut response (one with non-empty arguments): neither runs; two error results, in order.
9. Three cut tool responses in a row trip the stalled guard: ERROR, iteration count 3, the fourth queued response is not consumed, the tool is invoked 0 times.
10. Reasoning clause: with TokenUsage.of(10, 4000, 4010, 3990) the tool-call WARN and the final-answer WARN contain 3990; with reasoning 0 neither contains the clause. Parametrise over both shapes.
11. Events — here, or in OrcaAgentExecutorEventEmissionTest's harness: for a cut tool response, AssistantMessageReceived → ToolUseStarted → ToolResultReady (error, refusal text) → IterationCompleted(willContinue=true).
12. Streaming path, overlap off (useStreaming(true); stub on the OrcaAgentExecutorReasoningStreamTest pattern). The stub emits textDelta, toolUseReady, streamEnd(…, MAX_TOKENS) and returns the matching LlmResponse. Expect the same refusal.
13. Optional:
14. overlap on, where the parallel-dispatcher fixture makes it one test — a CONCURRENT_SAFE tool started from TOOL_USE_READY does not supply the transcript's result;
15. skill pre-flight, where OrcaAgentExecutorSkillSuspendTest's fixture makes it one test — a cut response with a Skill call does not suspend.

The PR says which optional tests were written.

7.2 aimon-core — DefaultSubagentExecutorTruncationTest (new; fixtures from DefaultSubagentExecutorMetadataTest / DefaultSubagentExecutorTest)

1. The test #100 sketched: a stub returning LlmResponse.of("partial", List.of(), usage, MAX_TOKENS).
2. getCompletionReason() == TRUNCATED, isSuccess() true;
3. getFinalAnswer() ends with TruncatedResponses.TRUNCATION_MARKER;
4. the last assistant message in the snapshot carries the marker;
5. a WARN on DefaultSubagentExecutor contains max_tokens;
6. the output sink contains [completed: TRUNCATED.
7. Fails today: COMPLETED.
8. END_TURN, and a response with no stop reason → COMPLETED with no marker (regression guards).
9. A cut tool response → the counting tool is invoked 0 times; the error result equals REFUSED_TOOL_CALL_MESSAGE; the loop continues to COMPLETED.
10. Reasoning clause present or absent, as in 7.1 item 5.

Items 1 and 3 assert against the same constants as 7.1, which is the parity pin D5 relies on.

7.3 aimon-core — TruncatedResponsesTest (new)

• isTruncated: true for MAX_TOKENS; false for END_TURN, TOOL_USE, UNKNOWN and an absent stop reason.
• reasoningClause: "" for 0; contains both numbers for > 0.
• The refusal text contains max_tokens and says the calls were not run.

7.4 aimon-llm-anthropic

• theOtherTwoConditions with D6's rows; run :aimon-llm-anthropic:test.
• Rename and comment only in the other two tests.
• If a D6 row fails, stop and record it (D6).

7.5 Gates

• ./gradlew format, then ./gradlew checkAll, reporting tests run, failed and skipped. This includes ArchUnit: PackageDependencyArchitectureTest must stay green with the new agent.budget type.
• python3 scripts/check-doc-links.py
• python3 scripts/check-backlog-registers.py
• python3 scripts/check-translation-staleness.py
• python3 scripts/check-translation-structure.py
• Never export a key into that shell (TASK.md › API keys).

7.6 Optional live probe

• Request: one or two Anthropic streaming requests forcing a tool call (tool_choice to a tool with a long string argument) with max_tokens ≤ 100. Pass the key inline to that one command.
• Record in $RUN_DIR/build/measurements.md (no key): the request shape, the status, and whether content_block_stop arrives for the cut tool_use block. Also record the last input_json_delta fragment's shape, and whether the aggregator's parse WARN fires.
• It changes no code. If content_block_stop arrives, F5 can happen in practice; if not, F5 cannot happen on Anthropic.
• Skip it rather than stall; the records then say "not observed".

---

8. Findings outside the issues — for build/deviations.md and the PR body

Finding	Evidence	Route
LlmSkillExecutor and ReActLlmDeriver run their own tool loops and never read the stop reason: a cut tool call runs there, and a cut final answer returns as success. On either provider the blocking client WARN names the cut, but not which call	LlmSkillExecutor.java:185-218; ReActLlmDeriver.java:188-215	Register as L-22 in llm-config-surface-open-items.md, beside the closed L-16: same defect class on the next loops, and L-16's own placement rule puts a pair where its pair is. Before registering, the build reads both loops end to end (rules two and six)
The fork has no stalled-iteration guard, so any all-error tool loop in a fork, cut or not, runs to maxIterations or budget	DefaultSubagentExecutor.java:386-470	deviations.md + PR body only: it is not about max_tokens, so it does not belong in the LLM register reserved to this run
docs/design/agent-execution/orca-executor.md §2.2 describes TruncationRecoveryStrategy, FlaggingTruncationRecoveryStrategy and ContinuingTruncationRecoveryStrategy, none of which exist in main sources, and describes only the final-answer shape	git grep TruncationRecoveryStrategy → that document only	deviations.md + PR body; the file is not this run's
TaskTool prints Status: SUCCESS for a TRUNCATED fork (getStatus() collapses on isSuccess()). The parent model's signal is the marker in the summary	TaskTool.java:612, :621	deviations.md + PR body; TaskTool belongs to cli-model-followups
workflow.md §4.2 omitted ERROR from the fork's reasons before this change	docs/design/workflow/workflow.md:212-213	fixed in passing, because this change rewrites that sentence (§4.4); named in deviations.md
ChunkAggregator's parse-failure WARN logs the whole partial JSON	ChunkAggregator.java:295	deviations.md only; not changed

---

9. Open questions

• Q1 — Should a stall made only of refused cut responses end as TRUNCATED instead of ERROR? Recommendation: no.
• The guard is generic, and TRUNCATED's contract carries a partial answer that a stall does not have.
• Each of the three WARNs already names max_tokens.
• Changing it would need a second counter.

The maintainer can overturn this at review; the PR body lists it under D1. - Q2 — Run the optional probe? Recommendation: only if the build has time left after the gates. Nothing depends on it (§7.6). - Q3 — TruncatedResponses is a new file (plus a package-info.java bullet) outside TASK.md's listed paths. D5 gives the reason and the rejected homes. No sibling touches agent/budget/**. Flagged so the review gate checks the placement rather than discovering it. - Q4 — Registering L-22 (§8). Recommended. If the review gate reads L-16's placement rule differently, the fallback is deviations.md + PR body with no registration. Either way, L-16 closes: its "무엇을" is about the agent loop. - Q5 — Should TaskTool print the completion reason for a fork? Out of this run's files (§8). Recorded for the maintainer. - Q6 — The exact WARN and refusal wording. §3 gives drafts with required content (max_tokens, "not run", no invitation to repeat, the two remedies). The build may polish the words, but not remove a required part.

---

10. Acceptance criteria → where each is met

#	Criterion	Met by
1	Main executor: a cut response with tool calls gives an operator message containing max_tokens and follows the execute-or-not decision, pinned by tests	D1; §4.1; §7.1 items 2–7
2	A fork's cut final answer is reported, pinned by a test	D4; §4.1; §7.2 item 1
3	§16.8 and L-16 say exactly what the code supports, by §16.7 / §16.9's convention; L-16 closed iff met; register title and index row recounted from the body	D7; §4.4
4	#101's three code statements corrected	§4.2
5	CHANGELOG.md entries; checkAll green with numbers; four doc checks pass	§4.4; §7.5
—	#101 item 3 (add paths or narrow) — "say which you did"	D6: paths added
—	PR body: Closes #108, Closes #100, Closes #101, one per line; one heading per decision (D1–D6, plus Q1)	build/PR phase

---

11. After the build — departures, corrections, and what went to the backlog

Appended 2026-09-11, after implementation. Everything above this section is the body as approved by design review round 1 (PASS, no blocking findings, ten non-blocking notes), and it is not edited to look prescient. Three sources feed this section: the run's build/deviations.md, the review's notes, and what was measured while building.

No decision in §3 changed. D1–D6 were built as chosen: a cut response's tool calls are refused, detection is StopReason in both executors through one shared type, the blocking-path WARNs stay, the fork reports a cut answer as a turn does, and the missing resolver rows were added. What departed is the text the model and the operator read, how much the records may claim, and two routings.

11.1 Where the build departed from the body

• DV-1 — the refusal no longer says "none of them were run" (review note 2). With streaming-tool overlap on, StreamingToolScheduler.onToolUseReady may already have run a CONCURRENT_SAFE call from the response — through the full tool path, hooks included — before the stop reason is read, and cancelAll() does not un-run it. The built text, TruncatedResponses.REFUSED_TOOL_CALL_MESSAGE, reads "Cut off at max_tokens: … They were discarded: no call that changes anything was run, and none of them has a result. …" Only a CONCURRENT_SAFE tool starts early, and that declaration says it changes nothing, so the sentence holds on both paths. The same note narrows, for that one case, D1's "Nothing on the tool path runs", §4.4's CHANGELOG draft ("No permission check or PreTool/PostTool hook runs for them") and F7.
• DV-2 — the reasoning clause is counts only (review note 4): ; the response's usage reports N output tokens and R reasoning tokens. D2's "so reasoning may have used most of the max_tokens allowance" would be printed for 100 of 4000 too, and no share can be justified as the line past which it is true — §16.8's option 2 refused exactly that number. "N of its M" is avoided as well, because TokenUsage allows a reasoning count above the output count.
• DV-3 — the main executor's tool-call WARN says whether overlap had started calls (review note 2). Its middle clause is none of them is run, or, when the iteration's scheduler held eager work, calls streaming overlap had already started have their results discarded, and the others are not run.
• DV-4 — condition 2 is asserted with containsExactly (review note 3). D6's reason for contains was wrong: at or below 1024 no thinking parameter is sent, so the translated finding is dropped at emission. Every D6 row passed as predicted, and none contradicted §16.8.
• DV-5 — L-22 is narrower than §8 (backlog rule six). LlmSkillExecutor is constructed twice, both in DefaultCommandExecutionManager, which OrcaAgentExecutorFactory builds, so a skill run as /my-skill takes that loop. ReActLlmDeriver has no construction site in main sources, so L-22 records it as an observation.
• DV-6 — L-23 is registered (review note 1). §8 sent the fork's missing stall guard to the PR body only. Review note 1 showed the bound is SubagentMetadata's default of 1000 iterations, and no main-source SubagentExecutionRequest carries a budget, so a fork under a persistent squeeze can make up to 1000 max_tokens-sized calls, each refused with a WARN. The records give that number where §4.4, D4 and F3 say "maxIterations or budget".
• DV-7 — records wording from the review's remaining notes.
• The CHANGELOG names WorkflowPatterns.loopUntilDry, WorkflowPatterns.completenessCritic and GraalJS's AgentResultView (note 9).
• The REPL claim is narrowed to the one line the REPL prints, Tool '<name>' failed: …, and the event test asserts that message (note 10).
• L-16's 정정 blockquote counts one row wrong and two incomplete (note 8).
• The records say only OpenAI's Responses path fills the reasoning counter (note 6).
• The clause is on four WARNs (note 5).
• DV-8 — this file's home. The body did not place itself. It lands in agent-execution/ beside orca-executor.md, because the code change is to the two ReAct loops; the records it corrects are in llm/. It is indexed in ../README.md.
• DV-9 — tests beyond §7. Both optional tests were written: overlap on, and the skill pre-flight (the latter in OrcaAgentExecutorSkillSuspendTest, for its fixtures). The reasoning-clause test runs a cut tool call and then a cut answer in one turn, so it also pins that each WARN reads the cut response's usage rather than the running total.
• DV-10 — choices the body left open.
• TruncatedResponses gained refusal(ToolUse), which §5.1 allowed.
• The fork's class javadoc has a second sentence naming the stall guard as the one remaining difference.
• SubagentExecutionResult.getCompletionReason()'s javadoc also says getStatus() reads SUCCESS for a truncated fork.
• workflow.md §4.2 is rewritten as a plain statement, because ../README.md §3.2 keeps revision notes out of a design body.

11.2 Where the body is wrong

• C-1 — D1 and §5.3 on a refused call's tool path. "Nothing on the tool path runs", and the observer table's "Hooks for a cut call — none fire", are false for a call that streaming overlap started before the stop reason arrived (DV-1).
• C-2 — D2's "all three truncation WARNs" lists four.
• C-3 — D2's "OpenAI's usage converters appear to fill the same counter". Only the Responses path does; Chat Completions leaves it at zero, streamed and blocking.
• C-4 — D2's first "Why" bullet lists "blocking with no live token" as a path the executor sees. Neither executor takes it (§2.1, §2.2). The provider-neutral argument stands without it: it covers any LlmClient.
• C-5 — D6's reason for contains (DV-4).
• C-6 — D7 against §4.4 on how many rows the 정정 blockquote corrects (DV-7).
• C-7 — §2.5, §6 F13 and §8 on ReActLlmDeriver. "A cut tool call still runs" there is true of its code and of no deployment (DV-5).
• C-8 — D1's REPL sentence ("shows the failed call and its reason"). The REPL's tool-call line comes from ToolCallDisplayHook, a PreTool hook, which does not run for a refused call; the REPL prints only Tool '<name>' failed: <message> (DV-7).

11.3 The §8 findings, and which went to the backlog

The backlog items are in llm-config-surface-open-items.md; each links back here.

Finding	Now	Why
LlmSkillExecutor and ReActLlmDeriver never read the stop reason	backlog L-22	The same defect class on the next two tool loops; one of them is reachable (DV-5)
The fork has no stalled-iteration guard	backlog L-23	Its max_tokens consequence is up to 1000 refused iterations per fork (DV-6)
orca-executor.md §2.2 describes truncation strategy types that exist in no source file	here and the PR body	Not this run's file, and both reserved IDs are used
TaskTool prints Status: SUCCESS for a TRUNCATED fork	here and the PR body (Q5)	TaskTool belongs to a sibling run; the marker in the summary is the parent's signal
workflow.md §4.2 omitted ERROR	fixed	This change rewrote that sentence
ChunkAggregator's parse WARN logs the whole partial JSON	here	Not changed
(found in the build) AnthropicThinkingBudgetsTest.budgetIsClampedBelowMaxTokens says "HIGH clamps out of the box", the over-claim #101 corrected in the javadoc	here and the PR body	#101 names three statements, and this is not one of them

Open questions.

• Q1 stands as recommended. A stall made only of refused cut responses ends as ERROR, and each of its WARNs names max_tokens. It is local to this change.
• Q2 was answered by running the probe (§11.4).
• Q3 — TruncatedResponses lives in at.aimon.core.agent.budget, and PackageDependencyArchitectureTest stayed green.
• Q4 — L-22 is registered, narrowed (DV-5).
• Q5 — recorded above; not this run's file.
• Q6 — settled by DV-1 and DV-2.

11.4 What was measured

Rule five, before the fix. TruncatedResponses went in first, with no executor change, and the new tests ran against the old loops. Of 40 tests in the four classes, 12 failed, each for the defect it names:

• the cut call ran — 1 invocation, 2 for two calls, and 1 on the streamed path;
• with overlap on, the eager "ran" result was harvested into the transcript;
• the stall guard never tripped (COMPLETED);
• a cut Skill call suspended the turn (SUSPENDED);
• the fork returned COMPLETED;
• no WARN named max_tokens for a cut tool call, on either executor.

After the fix the same four classes were 40 of 40 green.

The live probe. One billed request, 2026-09-11T02:11:04Z, POST https://api.anthropic.com/v1/messages.

• Request: model: claude-haiku-4-5 (served as claude-haiku-4-5-20251001), max_tokens: 60, stream: true, one tool write_file(path, content) forced by tool_choice, and one user message asking for a 400-word poem in a file. The key was read inline into a header and never printed.
• Response: HTTP 200, request-id: req_011Cevqhawj5VtNbJMQGcfSN.

#	Event	Payload
1	message_start
2	content_block_start	tool_use, index 0, input: {}
3	ping
4–8	content_block_delta ×5	input_json_delta: "", {"path", : "/tmp, /sea.tx, t"
9	message_delta	stop_reason: max_tokens, output_tokens: 60
10	message_stop

• No content_block_stop arrived for the cut tool_use block. On this observation the cut block never reaches TOOL_USE_READY, so streaming overlap cannot start the cut call early on Anthropic. F5 remains possible for blocks that closed before the cut.
• The joined arguments are {"path": "/tmp/sea.txt" — not valid JSON. ChunkAggregator.parseArguments would log its parse WARN and return an empty map. That was read from the code, not run on this stream.
• One request is an observation, not a guarantee, and no decision above depends on it.