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refactor(replay): delegate Weka ingestion to AISimulate - #14355
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WalkthroughThe change moves agentic replay and Weka graph loading to AISimulate, adds execution-model projection metadata, removes legacy Weka conversion paths, updates mocker routing metadata, and pins AISimulate dependencies to one Git revision. ChangesAgentic replay and AISimulate integration
Legacy Weka path removal
Replay engine and routing contracts
AISimulate dependency alignment
Priority: ⚪ Pending latest changes Estimated code review effort: 4 (Complex) | ~45 minutes Merge Risk: 🟠 High · up to This change moves Weka ingestion ownership to AISimulate and adds execution-model projection, but two concrete problems remain: GitHub's automated Rust checks cannot even compile the code because the pinned dependency source requires authentication CI does not have, and a validation change may incorrectly reject legitimate non-agentic Dynamo replay runs that lack a configured target model. Both should be resolved before merging; the internal ticket references and a documentation inaccuracy are lower-priority cleanups. 🚥 Pre-merge checks | ✅ 4 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (4 passed)
Full details: Docstring CoverageExplanation Docstring coverage is 28.30% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 53 functions across 13 files. (6 skipped: 6 unsupported.)
✨ Finishing Touches 💡 1⚔️ Resolve merge conflicts 💡
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Inline comments:
In `@Cargo.toml`:
- Around line 58-59: Remove the internal AIC-1810 reference from the temporary
dependency comments and replace it with clear public context. Update Cargo.toml
lines 58-59, benchmarks/pyproject.toml lines 42-43, and pyproject.toml lines
17-18 to describe the temporary Git dependency; update
lib/bindings/python/Cargo.toml lines 63-64 to describe dependency
synchronization.
- Line 60: Update the aisimulate-core dependency declaration in Cargo.toml to
use the published release instead of the unauthenticated Git revision, unless CI
authentication is explicitly configured for that repository. Preserve the
dependency’s required version and ensure GitHub Rust jobs can resolve it without
credentials.
In `@components/src/dynamo/replay/simulation.py`:
- Around line 83-84: Remove the internal Linear ticket reference from the
comment near the public runner checkpoint and replace it with a concise public
description of the required full AgentX runtime checkpoint.
- Line 314: Update _execution_target_model so an unresolved Dynamo model returns
None instead of raising ValueError, allowing non-agentic traces to reach the
native loader while preserving its existing rejection of agentic traces without
a target model.
In `@docs/fern/pages/reference/components/dynosim-replay-cli-reference.mdx`:
- Around line 147-149: Update the documentation sentence near the Dynamo and
Weka block-size guidance to describe each source’s ownership separately: state
the implementation responsibility for Dynamo request traces and separately state
that AISimulate derives the block size for Weka corpora. Preserve the existing
notes about Weka assertions and Dynamo trace shards.
After applying the fix, consider running `coderabbit review --agent` for local
review. Visit https://docs.coderabbit.ai/cli?utm_source=ghpr.
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Fix all unresolved CodeRabbit comments on this PR:
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⛔ Files ignored due to path filters (3)
Cargo.lockis excluded by!**/*.locklib/bindings/kvbm/Cargo.lockis excluded by!**/*.locklib/bindings/python/Cargo.lockis excluded by!**/*.lock
📒 Files selected for processing (28)
.github/workflows/pre-merge.ymlCargo.tomlbenchmarks/pyproject.tomlcomponents/src/dynamo/replay/api.pycomponents/src/dynamo/replay/simulation.pycomponents/src/dynamo/replay/tests/test_simulation.pycontainer/deps/requirements.aisimulate.txtdocs/fern/pages/reference/components/dynosim-replay-cli-reference.mdxlib/bench/Cargo.tomllib/bench/tests/weka_to_agentic_mooncake.rslib/bench/weka_to_agentic_mooncake.rslib/bindings/python/Cargo.tomllib/bindings/python/rust/llm/replay.rslib/bindings/python/src/dynamo/_core.pyilib/bindings/python/tests/replay/test_replay_policy_plumbing.pylib/bindings/python/tests/replay/test_replay_smoke.pylib/data-gen/src/lib.rslib/data-gen/src/weka.rslib/mocker/Cargo.tomllib/mocker/src/engine_adapter.rslib/mocker/src/loadgen/mod.rslib/mocker/src/loadgen/tests.rslib/mocker/src/loadgen/weka.rslib/mocker/src/replay/entrypoints.rslib/mocker/src/replay/offline/extensions/kv_router/mod.rslib/mocker/src/replay/online/router.rspyproject.tomltests/dependencies/test_aiconfigurator_consistency.py
💤 Files with no reviewable changes (9)
- lib/bench/weka_to_agentic_mooncake.rs
- lib/mocker/src/loadgen/mod.rs
- lib/bench/tests/weka_to_agentic_mooncake.rs
- .github/workflows/pre-merge.yml
- lib/mocker/src/loadgen/weka.rs
- lib/data-gen/src/weka.rs
- lib/mocker/Cargo.toml
- lib/data-gen/src/lib.rs
- lib/bench/Cargo.toml
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Signed-off-by: Harry Lee <harrileeeee@gmail.com>
Signed-off-by: Harry Lee <harrileeeee@gmail.com>
Signed-off-by: Harry Lee <harrli@nvidia.com>
Signed-off-by: Harry Lee <harrli@nvidia.com>
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@dmitry-tokarev-nv Following up on your round 6 review:
Local upgrade validation through |
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Not approving yet, at ab14ca4a84 (round 7). Two new P1 findings each fail a test lane that a required check needs, and the pin question on the pin thread is still open. When both P1 findings are fixed, the pin thread is settled, and no new defect appears, I will approve.
Findings at this head:
- [P1] new:
lib/bench/multiturn_bench.rs:587does not setcached_prefix_tokens, a field that the newSyntheticTraceSpecrequires, somultiturn_benchdoes not compile. Please addcached_prefix_tokens: 0,there, aslib/bindings/python/rust/llm/replay.rs:2381does. Pre Merge run 35947851023 fails on it, inrust-clippy (.)and inrust-tests (.). - [P1] new:
pyproject.toml:246. The warning filter does not match the new nightly, so the planner lane fails. Please match the new text. The inline comment has a tested suggestion. - [P2] new: in
docs/fern/pages/developer-guide/knowledge-base/modular-components/ai-simulate-experimental/, five lines still pinaisimulate==0.12.0for Dynamo:overview.md:45and:53,sweeper-experimental/dynamo-integration.md:21and:33, andsweeper-experimental/quickstart.md:15. With that wheel, 7 of the 17 Dynamo modules that import AISimulate fail to import at this head. Please move these lines to the new pin, and say that it has Linux wheels only. - [P2] closed: the version order on the
pyproject.toml:17thread. The new pin sorts above0.12.0, and cargo now updates to it. The evidence is on that thread. - [P3] closed: the description now lists the prediction changes outside Weka. On the same probe, this pin gives the same AIC TPOT and context latency as the Sep 17 nightly. So the numbers in the description hold for it.
- [P3] open: the ai-dynamo/aisimulate#234 regression test is still in no published build. When a published build has it, please move the pins in
pyproject.toml:17andCargo.toml:60to that build. The evidence is on the pin thread. - CI: Pre Merge failed on this head, only on the first P1. The PR workflow did not run on this head. Its last run, at
0455422, was cancelled. So the planner, GPU and image lanes still need an/ok to testfor the next head.
The bench compile error, measured on the GPU box.
This is the first command of the bench lint step in rust-clippy (.):
cargo clippy --locked --no-deps -p dynamo-bench --no-default-features --features multiturn --bench multiturn_bench -- -D warnings
tree exit
this head ab14ca4a84 101 error[E0063]: missing field `cached_prefix_tokens`
main 158458835e 0
this head + `cached_prefix_tokens: 0,` 0
The CI step stops at this first error. The other eight bench lint commands of that step pass on this head. rust-tests (.) passed all 167 test groups before its bench compile step failed on the same line.
The field is new in aisimulate-core 0.13.0-dev.202609230000000054. It is not in 0.12.0 or in 0.12.0-dev.202609170000000044, and SyntheticTraceSpec has no #[non_exhaustive]. I read the crate source for the value. With 0, the new cached-prefix loop does not run, and the rest of the hash-ID code matches the old crate.
What the old docs pin does to this head.
These lines describe the Dynamo image and the Dynamo source setup. Lines overview.md:45-46 and dynamo-integration.md:21-22 also say that the planner image installs aisimulate==0.12.0 and that Dynamo builds aisimulate-core==0.12.0. At this head, both are the Sep 23 nightly.
I set up the same combination in the CI test image: this head with main merged, a _core built from this head, and aisimulate==0.12.0. Seven of the 17 Dynamo modules that import AISimulate fail:
dynamo.replay.simulation No module named 'aisimulate.capacity'
dynamo.replay.config No module named 'aisimulate.capacity'
dynamo.planner.core.perf_model.engine_query cannot import name 'ForwardPassPerfModelConfig' from 'aisimulate_core.sdk'
dynamo.profiler.rapid No module named 'aisimulate.generator'
dynamo.profiler.profile_sla No module named 'aisimulate.generator'
dynamo.profiler.thorough No module named 'aisimulate.generator'
dynamo.profiler.utils.aic_dataframe No module named 'aisimulate.sdk'
With aisimulate==0.13.0.dev202609230000000054, all 17 import.
Tests and probes at this head, against main.
All runs used b40d169e0a-trtllm-runtime-test on the GPU box, with requirements.planner.txt and a _core that I built from each tree. "Main" is 158458835e with aisimulate==0.12.0. "Head" is this head with main merged and the Sep 23 nightly.
selection main head
planner lane, pre_merge and planner and gpu_0, serial 1938 passed, 1 fail 1955 passed, 2 fail
lib/bindings/python/tests/replay/ 104 passed 128 passed
replay tests, parity, CLI, dependency and AIC unit files 143 passed 161 passed
AISimulate modules and names that Dynamo imports 36/36 and 59/59 34/34 and 61/61
On main, the one failure is an etcd start timeout. On the head, the two failures are that timeout and the filter P1.
The API migration keeps behavior. The planner engine model, the AIC estimator and the AIC interpolation sweep give the same outputs as round 6's head with the Sep 17 wheel. The largest relative difference is 1.3e-14, across 193 outputs of the regression, native AIC and fallback paths. I also compared the new canonical AIC timing path with the legacy aic_* path, in 8 vLLM and SGLang cases. Both give the same block size and num_gpu_blocks in all 8 cases. They give the same TTFT and TPOT in 7 cases. In the eighth, both paths stop with the same error, because 1024 one-token blocks are too few for that trace.
I broke the new code in seven ways. Five mutants fail a test, including a revert of the capacity filter from 8a5fbade09. The other two change nothing that a caller sees. Without the tp mapping, a tp=2 config fails closed. Without attention_dp in the regression config, the outputs stay equal.
The vLLM replay TTFT now equals the AIC context latency within 0.00% at all five ISLs, so the new vLLM oracle is exact. At ISL 256, the vLLM TTFT goes from 198.040 ms on main to 178.990 ms.
The merge commit ab14ca4a84 is clean. A redo from its two parents gives the committed tree. cargo metadata --locked passes in all four workspaces, for this head and for this head merged with main 158458835e.
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For context: ai-dynamo/dynamo#15158 · test(mocker): stage disagg… (disaggregated attention DP, ai-dynamo/dynamo#12965) depends on this PR. I rebased it onto ab14ca4 locally and enabled it. Its four staged tests pass against this pin, and so does the rest of the dynamo-mocker lib suite (216/216), so no further AISimulate bump is needed on that side. No action needed here, just noting the dependency for post-merge. Looking forward to further progress! |
…ka-aisimulate-adapter Signed-off-by: Harry Lee <harrli@nvidia.com> # Conflicts: # components/src/dynamo/replay/api.py # components/src/dynamo/replay/simulation.py # components/src/dynamo/replay/tests/test_simulation.py # lib/bindings/python/rust/llm/replay.rs # lib/bindings/python/src/dynamo/_core.pyi
- Match the nightly's legacy sweep deprecation text in the pytest filter. - Set cached_prefix_tokens in multiturn_bench's SyntheticTraceSpec. - Move AISimulate docs install pins to the current nightly and note that it ships Linux wheels only. Signed-off-by: Harry Lee <harrli@nvidia.com>
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@dmitry-tokarev-nv Round-7 follow-up. Head is now
Merge with main: the conflicts were all with #14042 (replay telemetry sinks), in Validation (local x86_64, Python 3.12,
The planner, GPU, and image lanes still need an |
…ka-aisimulate-adapter Resolve conflicts with #15063 (canonical AIS perf-model migration), which supersedes this branch's AISimulate pin and namespace/API migration: - Take main's pins (aisimulate 0.13.0.dev202609270000000058), planner, profiler, docs, and dependency tests; accept main's removal of the legacy aic modules and tests. - Replace lower_canonical_aic_timing and the neutral-default engine-arg guards with main's lower_upstream_engine_args; the mocker now accepts those fields natively. - Keep the Weka delegation: weka.rs stays removed, native replay keeps execution_model / weka_nested_timestamp_basis alongside ais_perf_config and telemetry, and the runner keeps its agentic capabilities. - Resolve the execution target model from canonical AIS identity as well as the upstream wire spelling. - Drop duplicate struct fields introduced by the textual merge and regenerate lockfiles (drops dynamo-data-gen from the mocker graph). Signed-off-by: Harry Lee <harrli@nvidia.com>
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Approving at 12d8406055 (round 8). Both round-7 P1 findings are fixed at this head. The new P2 and P3 are open, and neither blocks.
Findings at this head:
- [P2] new:
components/src/dynamo/mocker/__init__.py:42. The publicrun_mocker_trace_replaywrapper can no longer replayweka,agentic_mooncake, or agentic Dynamo traces. It takesagentic_lanesbut notexecution_model, andrun_trace_replaynow requiresexecution_modelfor these traces. Please addexecution_modelto the wrapper and pass it through. The requirement came ind1e1e51976, not in this push, and earlier rounds missed this caller. - [P3] new:
components/src/dynamo/replay/simulation.py:302. The two model sources that this merge adds have no test. The inline comment has the evidence. - [P1] closed:
lib/bench/multiturn_bench.rs:587. This head takes that file from main (#15063), which setscached_prefix_tokens: 0,. - [P1] closed: the warning filter, now at
pyproject.toml:249. This head takes the line from main, and it is the text that we suggested. You applied the same text in85eb3610a5. The evidence is on that thread. - [P2] closed: the docs pins. The three AISimulate pages now equal main, which names no version there.
- [P3] closed: ai-dynamo/aisimulate#234. This PR no longer changes any AISimulate pin. Every pin equals main:
aisimulate==0.13.0.dev202609270000000058andaisimulate-core =0.13.0-dev.202609270000000058. - CI: Pre Merge passed on this head merged with main
b4909a6413. At the time of this review, the PR workflow for this head, run 36639228400, was still running. The last successful PR workflow run was atc04a6db120. I did not run the GPU and image lanes myself.
The wrapper on this head and on main, in the CI test image.
I called dynamo.mocker.run_mocker_trace_replay with the same engine arguments on both trees. Each tree used a _core that I built from it.
case main this head
plain mooncake trace (control) 3 requests completed 3 requests completed
agentic_mooncake trace 2 requests completed ValueError: agentic execution requires a configured target model
agentic_mooncake trace, agentic_lanes=1 2 requests completed same ValueError
weka trace with one request 1 request completed same ValueError
lib/bench/testdata/pi_request_trace.jsonl.gz 17 requests completed same error, from the native loader
On this head, dynamo.replay.run_trace_replay(..., execution_model="target-model") replays the same agentic_mooncake and Weka traces. I added execution_model=None to the wrapper and passed it through to _run_trace_replay. Then the wrapper replayed the agentic_mooncake trace and the Dynamo trace, with 2 and 17 requests. test_dynamo_mocker_wrapper_returns_public_replay_report still passed with that change.
The bench P1, measured on the GPU box at this head.
command tree exit
cargo clippy --locked --no-deps -p dynamo-bench --no-default-features \
--features multiturn --bench multiturn_bench -- -D warnings this head 0
same command this head without the field line 101 error[E0063] at multiturn_bench.rs:587:37
cargo check --locked --workspace --all-targets this head 0
same command this head without the field line 0
The last row shows that --all-targets does not build this bench, because the bench has required-features = ["multiturn"]. The Lint feature-gated benchmark entrypoints step of rust-clippy (.) builds it. That step passed on this head merged with main b4909a6413.
Tests at this head against main, on the GPU box.
"Main" is 7f7b533d9c, the main commit that this head merged. The Python runs used the image 1ff5387a05-trtllm-runtime-test with aisimulate==0.13.0.dev202609270000000058 and requirements.planner.txt. Each tree had a _core that I built from it. The cargo test row ran on the host.
selection main this head
replay test folders, AISimulate pin test, model path test 226 passed, 8 skip 253 passed, 8 skip
planner lane, pre_merge and planner and gpu_0, -n 4 1965 passed, 1 fail 1971 passed, 2 fail
cargo test -p dynamo-mocker --lib 221 passed 220 passed
Each lane run also had 13 collection errors from a missing redis in this image, on both trees. test_wait_for_unacknowledged_decision failed on both trees, in different copies: on main with a 15 s pytest timeout, and on this head because etcd did not start. On this head, test_dynamo_predict_cli_cases[02-synthetic-kv-router] failed once in the lane run. It printed its result, and then exited with 124 and aisimulate: execution shutdown timed out. AISimulate allows 5 s for that shutdown. I ran that test file again on each tree. It passed 19 of 19 in each of 3 serial runs and in 1 run with -n 4. Both connector test files passed on both trees, 20 of 20.
- Add execution_model to dynamo.mocker.run_mocker_trace_replay so the public wrapper can replay weka, agentic_mooncake, and agentic Dynamo traces again. - Cover each execution target model source, including the canonical metadata model and ais_perf_config.model. Signed-off-by: Harry Lee <harrli@nvidia.com>
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@dmitry-tokarev-nv Thanks for the approval. Round-8 follow-up at
Validation (local x86_64, |
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Approving at 4ab9318c18 (round 9). The new commit fixes the round-8 P2 and P3, and I found no new defect in it.
- [P2] closed:
components/src/dynamo/mocker/__init__.py:42. The wrapper now passesexecution_modeltorun_trace_replay, and the new smoke test fails without that. The two added lines are the fix that I tested in round 8, so here I partly review my own suggestion. - [P3] closed:
components/src/dynamo/replay/simulation.py:302. If I remove one model source, the new test case for that source fails. The evidence is on that thread, and I am resolving it. - Tests at this head:
components/src/dynamo/replay/testsandlib/bindings/python/tests/replaygave 226 passed and 8 skipped in the CI test image, with a_corethat I built from this head. The 8 skips are the disagg online cases. - CI: the
PRworkflow did not run on this head, becausepull-request/14355is still at12d8406055. The new tests run inplanner / CPU Test cpu, amd64and in the amd64sequentialandparalleljobs ofdynamo-runtime / test. These jobs passed at12d8406055.
The public wrapper at this head, in the CI test image.
I called dynamo.mocker.run_mocker_trace_replay with the traces and engine arguments of round 8. The image was 1ff5387a05-trtllm-runtime-test on the GPU box, with aisimulate==0.13.0.dev202609270000000058 and a _core that I built from this head.
case no execution_model execution_model="target-model"
plain mooncake trace (control) 3 requests completed 3 requests completed
agentic_mooncake trace ValueError: agentic execution 2 requests completed
requires a configured target
model
agentic_mooncake trace, agentic_lanes=1 same ValueError 2 requests completed
weka trace with one request same ValueError 1 request completed
lib/bench/testdata/pi_request_trace.jsonl.gz same error, from the native 17 requests completed
loader
The four agentic cases report target-model as the projection target. Without execution_model, they still raise, because run_trace_replay requires a target model for agentic traces at this head. Round 8 measured the same four counts on main.
The new smoke test with the fix removed.
I ran test_dynamo_mocker_wrapper_forwards_agentic_execution_model with two controls: test_dynamo_mocker_wrapper_returns_public_replay_report and test_online_trace_replay_supports_agentic_mooncake.
tree new test controls
this head passed 2 passed
wrapper file from 12d8406055 TypeError: run_mocker_trace_replay() got 2 passed
an unexpected keyword argument
'execution_model'
parameter kept, execution_model=execution_model gone ValueError: agentic execution requires a 2 passed
configured target model
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Signed-off-by: Harry Lee <harrli@nvidia.com>
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Approving at d083fdc9cd (round 10). This head holds the code that I approved in round 9, merged with main. I found no new defect.
GitHub moved my round-9 approval onto this commit before I read it. This review replaces that approval.
- The force-push at 03:30Z changed no file. Each rewritten commit has the same tree as the commit that it replaces. The three older commits lost only the
Co-Authored-Bylines from their messages. - The merge has no hand edits. An automatic merge of
6e6f877780and2de120f6a3onmaingives the same tree,0b925b82f2. - Your change did not move. It has the same 28 files and the same added and removed lines as at
4ab9318c18.mainchangedpyproject.tomland_core.pyionly in other lines. - #15202 changes Rust code in
_core, so I needed a test run and not only a file comparison. CI ran the replay tests at37025b7423, which has this tree, with a_corebuilt from it. The result was 226 passed and 8 skipped, as in round 9. I did not run them myself in this round. - No thread is open. The author resolved the thread of PeaBrane on
pyproject.toml. ai-dynamo/aisimulate#234 merged on 2026-09-29, and this PR changes no AISimulate pin, so nothing from that thread is left here.
The rewritten commits, the merge, and the diff, compared with git.
original rewritten tree patch-id message signature
85eb3610a5 7f57532dc1 same same Co-Authored-By line removed none now
12d8406055 191d5f26ae same (merge) Co-Authored-By line removed none now
4ab9318c18 6e6f877780 same same Co-Authored-By line removed none now
37025b7423 d083fdc9cd same (merge) Signed-off-by line added signed
check result
automatic merge of 6e6f877780 and 2de120f6a3 tree 0b925b82f2, no conflicts
tree of d083fdc9cd 0b925b82f2
control: automatic merge with 9262eab2b (main before tree 7975b11cd8
#15202)
PR diff at 4ab9318c18, from 7f7b533d9c 28 files, +782 -2237
PR diff at d083fdc9cd, from 2de120f6a3 28 files, +782 -2237, the same lines in each file
control: PR diff at 12d8406055 27 files, +719 -2235
In pyproject.toml, #15215 changes line 54, the TensorRT-LLM pin. This PR changes line 211 and lines 562 to 565. In _core.pyi, #15202 changes the KvRouterConfig and KvRouter stubs, and this PR changes the run_mocker_trace_replay stub.
CI at 37025b7423, which has the tree of this head.
job replay tests job result
dynamo-runtime / test / parallel cuda13.0, amd64 175 passed, 8 skipped passed
dynamo-runtime / test / sequential cuda13.0, amd64 51 passed cancelled by the force-push at 96%,
after these tests
planner / CPU Test cpu, amd64 58 passed passed, and these 58 also ran above
Together, the two dynamo-runtime jobs ran all 234 tests in components/src/dynamo/replay/tests and lib/bindings/python/tests/replay. The 8 skips are the disagg online cases, as in round 9. The test image of these jobs is the dynamo-runtime image that the same run built from 37025b7423.
For the Rust code, rust-clippy (.) passed, with its lock check and the lint of the feature-gated benchmarks. rust-tests (.) passed its unit tests, doc tests and canonical replay feature tests, and then the force-push cancelled it. rust-tests (lib/bindings/python) passed. When I posted, CI at d083fdc9cd was still running, for example rust-tests (.).
Summary
Replace Dynamo's duplicate Weka parser and converter with AISimulate's graph loader. Keep
trace_format="weka"as a compatibility adapter and execute the resulting graph through the existing typed agentic replay path.Weka behavior changes
autoselects one nested timestamp basis for the whole corpus. Adding a relative-timestamp witness can change other files' interpretation. The resolved basis is reported; explicitabsoluteretains before-marker rejection.out: 0remains zero, replacing the formermax(1, out)normalization; output totals and timing/throughput metrics can change.api_timeremains absent in provenance; dependency classification uses a zero-duration interval instead of rejecting the input.These differences are documented in the CLI reference.
AISimulate nightly migration
Pin Python/benchmarks/containers to
aisimulate==0.13.0.dev202609230000000054and both Cargo manifests plus all three lockfiles toaisimulate-core = "=0.13.0-dev.202609230000000054". Both are published; NVIDIA wheel staging also lists this release. No Git source overrides are required.This release removes the old AIC import namespaces. Update planner, profiler, runtime helpers, tests and collection stubs to
aisimulate/aisimulate_core, includingaisimulate.capacityandaisimulate.legacy_cli. Adapt planner construction to the canonical forward-pass configuration API while preserving regression-only operation and native-to-regression fallback.Lower resolved canonical op-level timing through Dynamo's existing AIC callback, retaining materialized KV capacity. Reject unsupported non-default timing controls explicitly. Initialize the new synthetic cached-prefix field to zero. The nightly now samples vLLM's first token at prefill completion, so both vLLM and SGLang parity checks compare TTFT to context latency without an extra decode step; the 5% tolerance is unchanged. The decode-worker midpass test now uses decode latency to establish its in-flight boundary.
Prediction changes beyond Weka
The dependency upgrade also changes AIC and replay predictions for non-Weka workloads. In the reviewer's comparison of
0.12.0with the previous September 17 nightly, Qwen/Qwen3-32B on h200_sxm showed roughly 1.69 ms higher AIC TPOT (8.0–9.2% across measured ISLs), unchanged context latency, and SGLang TTFT without the extra decode step. These are historical measurements of that earlier nightly, not measurements of the current September 23 pin or a guarantee for other models/systems. The current nightly also emits vLLM's first token at prefill completion; both backend parity oracles now reflect that behavior. Prediction baselines may therefore change outside Weka as well.Validation
The local results below were collected during the upgrade through
8a5fbade09; they do not validate the subsequent main mergeab14ca4a84.aic-forward-passagainst the published 0.13 nightly, in a fresh Python 3.12 environment with noaiconfiguratororaiconfigurator_corepackages.8a5fbade09).aic-forward-pass, formatting and pre-commit passed.--find-links.AISimulate #234 remains open and its future-parent regression is absent from this nightly; the P3 dependency thread stays open. The previous requirement to wait for a release retaining legacy AIC imports is superseded by this migration.
Related issues