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ci: add advisory simulation performance gate - #318
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🔀 Multi-repo context ai-dynamo/dynamo, ai-dynamo/aiconfiguratorLinked repositories findingsai-dynamo/dynamo
ai-dynamo/aiconfigurator
📝 SummaryRisk: High. The three areas needing the most human attention are workflow revision and artifact validation, protocol-v4 input and measurement validation, and the timing-based regression threshold. Changed behavior and public contracts
Evidence supplied
Evidence still missing and merge readiness
WalkthroughThis change adds canonical replay determinism and a simulation performance gate. The gate defines fixed workloads and a versioned comparison protocol, runs paired base/head benchmarks, reports classifications and artifacts, and integrates selection and execution into GitHub Actions. ChangesSimulation performance gate
Priority: ➖ Normal Estimated code review effort: 4 (Complex) | ~60 minutes Merge Risk: 🟡 Moderate · up to The advisory gate may not produce a verdict for some timing-configuration changes, and qualification runs can be interrupted or take longer than the job limit. These risks affect the reliability and coverage of the new CI signal; merge with those limitations accepted and follow-up planned. 🚥 Pre-merge checks | ✅ 6 | ❌ 2❌ Failed checks (2 warnings)
✅ Passed checks (6 passed)
Full details: Cross-Layer ContractExplanation The new Resolution Add cross-layer tests for the default and explicit paths. Assert that a default Full details: Description checkExplanation The description provides detailed change scope and validation evidence, but it does not use the required template sections. It omits the Review map, Modeling or data provenance, and Tracking sections, and does not provide the required per-item Evidence entries such as exact commands and reviewed commits. Resolution Restructure the description to include all template headings: Why and what changed, Review map, Evidence, Modeling or data provenance, and Tracking. Add risk level, starting files, contract and rollback details, exact test commands and results, required reviewed-commit fields, boundary cases, numerical derivation, and provenance or N/A entries. Comment |
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Automated review from Claude Code at 53b4bed1. There are 15 inline comments.
The Rust and Python replay wiring looks correct: determinism reaches every aggregated and P/D replay, and it still defaults to random. The main concerns are in the gate's logic:
- Timing-config drift marks every case INVALID.
- A new report field is classified as a behavior change, which hides slowdowns.
- Host cost outside native
wall_time_msisn't measured. - The selector doesn't watch all the
forward_perf_gatemodules the controller imports.
The rest cover CI reliability, cleanup, and error handling.
I didn't run the unit tests locally, so these findings come from reading the code.
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In `@python/aisimulate/tools/simulation_perf_gate/fixtures/LICENSE`:
- Around line 1-11: Remove the NVIDIA copyright and DeepSeek notice from the
fixture LICENSE so it contains only the unmodified Apache License 2.0 text. Keep
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.github/codeowners/areas.yaml.github/workflows/simulation-performance.ymlCODEOWNERSTHIRD_PARTY_NOTICES.mdcrates/core/src/python.rspython/aisimulate/THIRD_PARTY_NOTICES.mdpython/aisimulate/src/aisimulate/runner.pypython/aisimulate/tests/unit/tools/test_simulation_perf_gate.pypython/aisimulate/tools/simulation_perf_gate/QUALIFICATION.mdpython/aisimulate/tools/simulation_perf_gate/README.mdpython/aisimulate/tools/simulation_perf_gate/__init__.pypython/aisimulate/tools/simulation_perf_gate/cases.pypython/aisimulate/tools/simulation_perf_gate/compare.pypython/aisimulate/tools/simulation_perf_gate/contract.pypython/aisimulate/tools/simulation_perf_gate/fixtures/DATASET_CARD.mdpython/aisimulate/tools/simulation_perf_gate/fixtures/LICENSEpython/aisimulate/tools/simulation_perf_gate/fixtures/README.mdpython/aisimulate/tools/simulation_perf_gate/fixtures/agentx.jsonlpython/aisimulate/tools/simulation_perf_gate/run.pypython/aisimulate/tools/simulation_perf_gate/worker.pyscripts/select_forward_perf.pyscripts/select_simulation_perf.pytests/test_ci_workflow_contracts.pytests/test_unified_traffic_runtime.py
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- GitHub Check: Prediction Regression / Collect prediction snapshot (new)
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Check unified CLI, Replay, Sweeper, and orchestration behavior together.
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python/aisimulate/tools/simulation_perf_gate/fixtures/LICENSEpython/aisimulate/THIRD_PARTY_NOTICES.mdpython/aisimulate/tools/simulation_perf_gate/fixtures/README.mdcrates/core/src/python.rsCODEOWNERSpython/aisimulate/tools/simulation_perf_gate/fixtures/DATASET_CARD.mdTHIRD_PARTY_NOTICES.mdtests/test_unified_traffic_runtime.pyscripts/select_forward_perf.pytests/test_ci_workflow_contracts.pypython/aisimulate/tools/simulation_perf_gate/QUALIFICATION.mdscripts/select_simulation_perf.pypython/aisimulate/tools/simulation_perf_gate/contract.pypython/aisimulate/tests/unit/tools/test_simulation_perf_gate.pypython/aisimulate/src/aisimulate/runner.pypython/aisimulate/tools/simulation_perf_gate/worker.pypython/aisimulate/tools/simulation_perf_gate/compare.pypython/aisimulate/tools/simulation_perf_gate/README.mdpython/aisimulate/tools/simulation_perf_gate/run.pypython/aisimulate/tools/simulation_perf_gate/cases.pypython/aisimulate/tools/simulation_perf_gate/__init__.py
Before making any change under: `python/aisimulate/src/aiconfigurator/generator/**` MUST read: `python/aisimulate/.claude/rules/generator-development.md` Before making any change under `python/aisimulate/collector/**` MUST read: `python/ais...
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python/aisimulate/tools/simulation_perf_gate/fixtures/LICENSEpython/aisimulate/THIRD_PARTY_NOTICES.mdpython/aisimulate/tools/simulation_perf_gate/fixtures/README.mdcrates/core/src/python.rsCODEOWNERSpython/aisimulate/tools/simulation_perf_gate/fixtures/DATASET_CARD.mdTHIRD_PARTY_NOTICES.mdtests/test_unified_traffic_runtime.pyscripts/select_forward_perf.pytests/test_ci_workflow_contracts.pypython/aisimulate/tools/simulation_perf_gate/QUALIFICATION.mdscripts/select_simulation_perf.pypython/aisimulate/tools/simulation_perf_gate/contract.pypython/aisimulate/tests/unit/tools/test_simulation_perf_gate.pypython/aisimulate/src/aisimulate/runner.pypython/aisimulate/tools/simulation_perf_gate/worker.pypython/aisimulate/tools/simulation_perf_gate/compare.pypython/aisimulate/tools/simulation_perf_gate/README.mdpython/aisimulate/tools/simulation_perf_gate/run.pypython/aisimulate/tools/simulation_perf_gate/cases.pypython/aisimulate/tools/simulation_perf_gate/__init__.py
🪛 ast-grep (0.45.3)
tests/test_ci_workflow_contracts.py
[error] 3039-3050: Command coming from incoming request
Context: subprocess.run(
["bash", "-euc", detection],
cwd=tmp_path,
check=True,
env={
**os.environ,
"base_sha": base,
"PR_HEAD_SHA": head,
"gate_path": gate,
"GITHUB_OUTPUT": str(output),
},
)
Note: [CWE-78] Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection').
(subprocess-from-request)
python/aisimulate/tests/unit/tools/test_simulation_perf_gate.py
[info] 369-369: use jsonify instead of json.dumps for JSON output
Context: json.dumps(payload)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
python/aisimulate/src/aisimulate/runner.py
[info] 535-539: use jsonify instead of json.dumps for JSON output
Context: json.dumps(
execution_spec,
allow_nan=False,
separators=(",", ":"),
)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
python/aisimulate/tools/simulation_perf_gate/worker.py
[info] 148-148: use jsonify instead of json.dumps for JSON output
Context: json.dumps(response, allow_nan=False)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
python/aisimulate/tools/simulation_perf_gate/compare.py
[info] 63-63: use jsonify instead of json.dumps for JSON output
Context: json.dumps(response, allow_nan=False)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[info] 196-196: use jsonify instead of json.dumps for JSON output
Context: json.dumps(results, indent=2, allow_nan=False)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
python/aisimulate/tools/simulation_perf_gate/run.py
[info] 56-56: use jsonify instead of json.dumps for JSON output
Context: json.dumps(request)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[error] 60-70: Command coming from incoming request
Context: subprocess.run(
["taskset", "--cpu-list", str(cpu), str(python), str(worker)],
input=payload,
text=True,
stdout=subprocess.PIPE,
stderr=stderr,
cwd=worker.parents[4],
env=environment,
timeout=timeout,
check=True,
)
Note: [CWE-78] Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection').
(subprocess-from-request)
[info] 77-77: use jsonify instead of json.dumps for JSON output
Context: json.dumps(parsed, allow_nan=False)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[info] 107-107: use jsonify instead of json.dumps for JSON output
Context: json.dumps(full_records, separators=(",", ":"), allow_nan=False)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[info] 123-123: use jsonify instead of json.dumps for JSON output
Context: json.dumps(raw, indent=2, allow_nan=False)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
python/aisimulate/tools/simulation_perf_gate/__init__.py
[info] 12-12: use jsonify instead of json.dumps for JSON output
Context: json.dumps(value, sort_keys=True, separators=(",", ":"), allow_nan=False)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
🪛 markdownlint-cli2 (0.23.2)
python/aisimulate/tools/simulation_perf_gate/fixtures/DATASET_CARD.md
[warning] 51-51: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
[warning] 77-77: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
[warning] 85-85: Fenced code blocks should have a language specified
(MD040, fenced-code-language)
🪛 zizmor (1.30.0)
.github/workflows/simulation-performance.yml
[warning] 26-26: permissions without explanatory comments (undocumented-permissions): needs an explanatory comment
(undocumented-permissions)
[error] 69-69: unpinned image references (unpinned-images): container image may be unpinned
(unpinned-images)
[info] 92-92: action functionality is already included by the runner (superfluous-actions): use rustup and/or cargo in a script step
(superfluous-actions)
🔀 Multi-repo context ai-dynamo/dynamo, ai-dynamo/aiconfigurator
Linked repositories findings
ai-dynamo/dynamo
- The workspace pins
aisimulate-coreexactly to=0.12.0inCargo.toml. Any new replay-determinism behavior must be available in that published core version for Dynamo consumers. [::ai-dynamo/dynamo::] - Production
dynamo-mockerdoes not enable thereplay-benchfeature; its manifest explicitly says production replay retains random selector behavior. Canonical KV-router replay is rejected without that feature, whileCanonicalV1only sets the canonical selector seed when explicitly enabled. [lib/mocker/Cargo.toml[features];lib/mocker/src/replay/offline/extensions/kv_router/composition.rs:243-250,497-502] [::ai-dynamo/dynamo::] - Dynamo’s public
run_trace_replayAPI has nodeterminismparameter, and its forwardedreplay_kwargsomit one. The regular offline entrypoints constructReplayCaptureOptionswith defaults, while only the benchmark path explicitly selectsCanonicalV1. [components/src/dynamo/replay/api.py:run_trace_replay;lib/mocker/src/replay/offline/entrypoints.rs:97-101,187-191;lib/bench/offline_replay_bench.rs:268-277] [::ai-dynamo/dynamo::] - The documented
wall_time_msboundary measures Rust replay runtime construction and execution, excluding planner creation/bootstrap, matching the PR’s intended timing boundary. [components/src/dynamo/replay/api.py:run_trace_replaydocstring] [::ai-dynamo/dynamo::]
ai-dynamo/aiconfigurator
- AICONFIGURATOR contains no direct
canonical_v1,ReplayDeterminism, or simulation-performance-gate consumers. Its package metadata and migration documentation state that active development has moved to AISimulate, so it is a compatibility/reference repository rather than a runtime integration target. [pyproject.toml:10,87;docs/aisimulate_migration.md] [::ai-dynamo/aiconfigurator::]
🔇 Additional comments (20)
crates/core/src/python.rs (2)
44-45: This earlier comment is still unresolved: an invaliddeterminismvalue gives only a generic untagged-enum error.
ExecutionPayloadis still#[serde(untagged)]. For a value such as"canonical_v2", the error message does not name thedeterminismfield.
1271-1280: LGTM!Also applies to: 1616-1629, 1715-1715, 1839-1839
python/aisimulate/src/aisimulate/runner.py (2)
357-357: This earlier comment is still unresolved: the factory accepts an invaliddeterminismvalue.The value is checked only in
EngineReplayRunner.run()(lines 446-447). AnEngineReplayRunnerFactory(determinism="canonical-v1")is still created and dispatched without an error.
446-451: LGTM!Also applies to: 532-535
python/aisimulate/tools/simulation_perf_gate/run.py (1)
172-172: This earlier comment is still unresolved: both sides run on the lowest CPU in the affinity set.
min(os.sched_getaffinity(0))usually selects CPU 0. The forward-performance gate uses the same rule, and the two workflows have separate concurrency groups. If both run on one host, their workers can compete for the same CPU.scripts/select_simulation_perf.py (1)
38-38: This earlier comment is still unresolved: the reason text is still rewritten with.replace("forward prediction", "simulation").If
select_forward_perfrewords its reason strings, the simulation summary will silently report the forward-prediction wording..github/workflows/simulation-performance.yml (2)
29-30: This earlier comment is still unresolved: pushes can cancel manualself_compareruns.Manual dispatch and trusted pushes for the same PR still share the group
simulation-performance-pull-request/Nwithcancel-in-progress: true.
64-64: This earlier comment is still unresolved:self_comparemay exceed the 75-minute timeout.The job still runs two release builds of the same SHA and three full qualification suites. Each suite has a 900-second budget.
tests/test_unified_traffic_runtime.py (1)
1126-1187: LGTM!python/aisimulate/tools/simulation_perf_gate/__init__.py (1)
1-14: LGTM!python/aisimulate/tools/simulation_perf_gate/cases.py (1)
1-158: LGTM!python/aisimulate/tools/simulation_perf_gate/contract.py (1)
1-215: LGTM!python/aisimulate/tools/simulation_perf_gate/worker.py (1)
1-154: LGTM!THIRD_PARTY_NOTICES.md (1)
967-984: LGTM!python/aisimulate/THIRD_PARTY_NOTICES.md (1)
967-984: LGTM!python/aisimulate/tools/simulation_perf_gate/compare.py (1)
1-232: LGTM!python/aisimulate/tests/unit/tools/test_simulation_perf_gate.py (1)
1-395: LGTM!scripts/select_forward_perf.py (1)
86-86: LGTM!Also applies to: 117-119, 134-136, 151-159
tests/test_ci_workflow_contracts.py (1)
2959-3052: LGTM!.github/codeowners/areas.yaml (1)
105-106: 📐 Maintainability & Code QualityThe concern is refuted. The generator emits the broad
/python/aisimulate/rule atCODEOWNERS:137and the gate-specific rule atCODEOWNERS:207. The specific rule is last and includes replay, forward-pass-engine, infra, and maintainers.
Signed-off-by: jthomson04 <jwillthomson19@gmail.com>
Signed-off-by: jthomson04 <jwillthomson19@gmail.com>
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- 🪄 Fix CodeRabbit comments on this PR
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Inline comments:
Review comments at @tests/test_ci_workflow_contracts.py:
- Around line 3023-3043: Extend
test_simulation_performance_rollout_and_revision_contract with focused
temporary-repository tests that execute the workflow’s Prepare exact revisions
step for protocol mismatch and missing base gate cases. Assert the expected
INVALID_COMPARISON or SKIPPED output and verify benchmarking remains disabled.
- Line 3039: Update the self-comparison contract test around the repetitions
assertion to inspect the run.py command within the self-comparison loop, not an
earlier revision-preparation branch. Assert that the loop invokes the command
three times, distinguishing those invocations from the five internal measurement
rounds.
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Check unified CLI, Replay, Sweeper, and orchestration behavior together.
⚙️ CodeRabbit configuration file
Files:
python/aisimulate/src/aisimulate/runner.py
Verify upstream provenance, license text, collection and overlay hashes, local modification notices, and generated derivative records remain complete and internally consistent.
⚙️ CodeRabbit configuration file
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THIRD_PARTY_NOTICES.md
Treat top-level exports and bindings as public and release boundaries.
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Files:
crates/core/src/python.rs
Require coverage of the changed behavior and its negative or boundary cases.
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Read REVIEW.md before commenting.
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Before making any change under: `python/aisimulate/src/aisimulate/generator/**` MUST read: `python/aisimulate/.claude/rules/generator-development.md` Before making any change under `python/aisimulate/collector/**` MUST read: `python/aisimul...
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Files:
python/aisimulate/src/aisimulate/runner.py
🪛 ast-grep (0.45.3)
tests/test_ci_workflow_contracts.py
[error] 3103-3114: Command coming from incoming request
Context: subprocess.run(
["bash", "-euc", detection],
cwd=tmp_path,
check=True,
env={
**os.environ,
"base_sha": base,
"PR_HEAD_SHA": head,
"gate_path": gate,
"GITHUB_OUTPUT": str(output),
},
)
Note: [CWE-78] Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection').
(subprocess-from-request)
python/aisimulate/src/aisimulate/runner.py
[info] 555-559: use jsonify instead of json.dumps for JSON output
Context: json.dumps(
execution_spec,
allow_nan=False,
separators=(",", ":"),
)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
🔀 Multi-repo context ai-dynamo/dynamo, ai-dynamo/aiconfigurator
Linked repositories findings
ai-dynamo/dynamo
- Dynamo pins
aisimulate-coreto=0.13.0-dev.202609300000000061inCargo.tomland all inspected lockfiles. [::ai-dynamo/dynamo::] - The public
run_trace_replayAPI has no determinism parameter and does not forward one inreplay_kwargs(components/src/dynamo/replay/api.py:200-325). [::ai-dynamo/dynamo::] - The benchmark-only path explicitly selects
ReplayDeterminism::CanonicalV1; ordinary replay defaults remain random (lib/bench/offline_replay_bench.rs:304-307). [::ai-dynamo/dynamo::]
ai-dynamo/aiconfigurator
- AIConfigurator identifies itself as a compatibility distribution with active development moved to AISimulate (
pyproject.toml:10). - Its migration guide references stable
aisimulate==0.12.0; broad searches found no direct consumer ofReplayDeterminism,canonical_v1, or the new performance gate. [::ai-dynamo/aiconfigurator::]
🔇 Additional comments (9)
crates/core/src/python.rs (2)
46-47: Prior review comment (jthomson04) already flags that an invaliddeterminismvalue produces only a generic untagged-enum serde error.
1668-1677: LGTM!Also applies to: 2152-2165, 2254-2254, 2380-2380
python/aisimulate/src/aisimulate/runner.py (2)
376-376: Prior review comment (jthomson04) already flags thatEngineReplayRunnerFactoryaccepts invaliddeterminismvalues untilrun().
418-418: LGTM!Also applies to: 431-431, 466-471, 552-555
tests/test_unified_traffic_runtime.py (1)
1179-1234: LGTM!THIRD_PARTY_NOTICES.md (1)
1085-1100: LGTM!python/aisimulate/THIRD_PARTY_NOTICES.md (1)
1085-1100: LGTM!.github/codeowners/areas.yaml (1)
119-120: LGTM!CODEOWNERS (1)
223-223: LGTM!
Signed-off-by: jthomson04 <jwillthomson19@gmail.com>
Signed-off-by: jthomson04 <jwillthomson19@gmail.com>
Signed-off-by: jthomson04 <jwillthomson19@gmail.com>
Signed-off-by: jthomson04 <jwillthomson19@gmail.com>
Signed-off-by: jthomson04 <jwillthomson19@gmail.com>
Signed-off-by: jthomson04 <jwillthomson19@gmail.com>
Signed-off-by: jthomson04 <jwillthomson19@gmail.com>
Signed-off-by: jthomson04 <jwillthomson19@gmail.com>
* ci: add advisory simulation performance gate Signed-off-by: jthomson04 <jwillthomson19@gmail.com> * fix: stabilize simulation performance comparisons Signed-off-by: jthomson04 <jwillthomson19@gmail.com> * ci: run simulation performance checks on trusted PR updates Signed-off-by: jthomson04 <jwillthomson19@gmail.com> * ci: parallelize simulation builds and validate protocol v3 Signed-off-by: jthomson04 <jwillthomson19@gmail.com> * perf: trial shorter synthetic simulation workloads Signed-off-by: jthomson04 <jwillthomson19@gmail.com> * refactor: remove simulation equivalence checks from performance CI Signed-off-by: jthomson04 <jwillthomson19@gmail.com> * perf: freeze simulation workloads from the CI size trial Signed-off-by: jthomson04 <jwillthomson19@gmail.com> * docs: record normal simulation CI timing results Signed-off-by: jthomson04 <jwillthomson19@gmail.com> * docs: remove simulation qualification history Signed-off-by: jthomson04 <jwillthomson19@gmail.com> * test: fix simulation gate test portability Signed-off-by: jthomson04 <jwillthomson19@gmail.com> --------- Signed-off-by: jthomson04 <jwillthomson19@gmail.com>
Summary
Add an advisory simulation runtime gate to trusted PR updates, using the same selection model as the forward-performance gate. It runs 12 complete workloads and five timing pairs with alternating base/head order on one CPU. The regression threshold remains more than 10% and 100 ms in at least four rounds. Expose the existing canonical native request-ID mode through
EngineReplayRunnerFactoryfor repeatable workloads.Remove the equivalence phase, simulated-result comparisons, per-request capture/artifacts, and cache-control replays. Keep input/model identity, complete-work checks, valid measurements, crash details, and controller-owned process timing. Protocol v4 rejects the earlier adapters.
Select and validate revisions before allocation. Build base and head release wheels in parallel, then verify exact revision/checksum/build provenance and install separate environments before measurement. Retain head-controller validation when benchmark code changes.
The CI workload trial supports half counts for dense vLLM, dense TRT-LLM, and P/D vLLM. Keep the other seven synthetic sizes and both full AgentX plays unchanged. Include structured malformed-input errors, direct finite-value checks, the fixture-license correction, and focused revision/self-comparison tests.
Validation
27bc401e.