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feat: onboard models for FPM simulation on target hardware - #196
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Carry engine.systems_path through lookup, simulation, recommendation and exported configs without changing process-wide defaults. Reject modes whose consumers cannot use the root. Refs: AIC-1963 Signed-off-by: Yiming Liu <yimingl@nvidia.com>
Add typed setup, bounded plans, safe collector preview and resume, and ordinary predict/recommend configs using local systems data. Track AIC-1963. Signed-off-by: Yiming Liu <yimingl@nvidia.com>
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📝 SummaryRisk: High. The three areas needing the most human attention are collection safety and resume behavior; runtime-version and custom systems-root handling; and the limits of readiness and recommendation claims. Changed behavior and public contracts
Evidence and quality
Merge readiness and missing evidence
WalkthroughThe pull request adds an ChangesSupport onboarding and FPM collection
Local systems-path configuration and resolution
Support-matrix import behavior
Priority: ➖ Normal Estimated code review effort: 4 (Complex) | ~60 minutes Merge Risk: 🔵 Low · up to Onboarding and local systems-path support appear sound. When a worker overrides its data roots, prediction metadata can name a different performance database than the one actually used. The new guide also contains wording about draft PRs that will be misleading after merge. Both are small fixes and do not block merging. 🚥 Pre-merge checks | ✅ 7 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (7 passed)
Full details: Cross-Layer ContractExplanation The PR leaves cross-layer contracts incomplete. Resolution Update the lower-level memory API annotations and documentation, and any native-facing declarations, to accept the same Comment |
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In `@docs/self-service-support.md`:
- Line 98: Update the documented subprocess execution loop around subprocess.run
so commands from commands.json cannot execute arbitrary local programs: use the
fixed expected aisimulate recommend commands or validate the plan’s provenance
and each executable and argument against an explicit allowlist before execution,
while preserving shell=False.
In `@python/aisimulate/src/aisimulate/main.py`:
- Around line 308-310: Update the collector execution boundary in run_resolved()
so failures from run_collection(), including RuntimeError, ValueError, and
OSError, are reported as concise stderr messages and return exit code 1 instead
of reaching aisimulate.main() or parser.error(). Keep parser.error() for request
and plan validation, and preserve exit code 130 for KeyboardInterrupt.
In `@python/aisimulate/src/aisimulate/support/plan.py`:
- Line 224: Update plan_lock() to use an OS advisory lock that is automatically
released when the owning process exits, replacing reliance on the
".support.lock" sentinel created by lock.open("x"). Preserve locking for
collection and execute-mode run_fpm() while leaving preview operations
unchanged, and add a regression test proving a subsequent operation recovers
after the lock-holder terminates abruptly.
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🪛 ast-grep (0.45.3)
python/aisimulate/tests/unit/test_support_cli.py
[error] 290-298: Command coming from incoming request
Context: subprocess.run(
["/bin/sh", "-c", summary["next"]],
cwd=tmp_path,
env={**os.environ, "PATH": str(Path(sys.executable).parent) + os.pathsep + os.environ.get("PATH", "")},
stdin=subprocess.DEVNULL,
capture_output=True,
text=True,
timeout=30,
)
Note: [CWE-78] Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection').
(subprocess-from-request)
[error] 417-423: Command coming from incoming request
Context: subprocess.run(
[sys.executable, "-m", "aisimulate.main", *_init_args(output)],
stdin=subprocess.DEVNULL,
capture_output=True,
text=True,
timeout=30,
)
Note: [CWE-78] Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection').
(subprocess-from-request)
python/aisimulate/tests/unit/test_support_plan.py
[error] 270-282: Command coming from incoming request
Context: subprocess.run(
[sys.executable, "-c", snippet],
cwd=workdir,
env={
**os.environ,
"PATH": str(wrapper.parent) + os.pathsep + os.environ.get("PATH", ""),
"SUPPORT_TEST_EVALUATED": str(evaluated),
},
capture_output=True,
text=True,
timeout=30,
check=False,
)
Note: [CWE-78] Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection').
(subprocess-from-request)
[info] 414-414: use jsonify instead of json.dumps for JSON output
Context: json.dumps({"schema": "aic-fpm-collector-checkpoint-v3", "plan_sha256": sha, "cells": {}})
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
python/aisimulate/src/aisimulate/support/cli.py
[info] 148-148: use jsonify instead of json.dumps for JSON output
Context: json.dumps(value, sort_keys=True)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[info] 151-151: use jsonify instead of json.dumps for JSON output
Context: json.dumps(item, sort_keys=True)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
python/aisimulate/tests/unit/test_systems_path.py
[info] 142-154: use jsonify instead of json.dumps for JSON output
Context: json.dumps(
{
"schema_name": "aic_fpm_forward_perf",
"schema_version": 6,
"coordinate_system": "iteration_totals_balanced_v1",
"measurement_policy": "dynamo_native_single_sample_v1",
"row_count": len(rows),
"parquet_sha256": hashlib.sha256(parquet.read_bytes()).hexdigest(),
"system": _SYSTEM,
"backend": "vllm",
"backend_version": _VERSION,
}
)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[error] 272-290: Command coming from incoming request
Context: subprocess.run(
[
sys.executable,
"-m",
"aisimulate",
"predict",
"--config",
str(saved),
"--output-dir",
str(tmp_path / f"predict-{root.name}"),
"--format",
"json",
],
cwd=tmp_path,
capture_output=True,
text=True,
timeout=60,
check=False,
)
Note: [CWE-78] Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection').
(subprocess-from-request)
python/aisimulate/src/aisimulate/support/plan.py
[info] 27-27: use jsonify instead of json.dumps for JSON output
Context: json.dumps(request.model_dump(mode="json", exclude_none=True), sort_keys=True, separators=(",", ":"))
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[info] 212-212: use jsonify instead of json.dumps for JSON output
Context: json.dumps(commands, indent=2, sort_keys=True)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[info] 213-213: use jsonify instead of json.dumps for JSON output
Context: json.dumps(plan, indent=2, sort_keys=True)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
🔀 Multi-repo context ai-dynamo/aiconfigurator, ai-dynamo/dynamo
Linked repositories findings
ai-dynamo/aiconfigurator
- Aiconfigurator’s public CLI uses plural, comma-separated
--systems-paths, while its core memory APIs accept singularsystems_pathand forward it toget_database(..., systems_paths=systems_path); the AISimulate wrapper must preserve this mapping.[::ai-dynamo/aiconfigurator::](src/aiconfigurator/cli/main.py:148-153,aic-core/src/aiconfigurator_core/sdk/memory.py:265-309) - The public CLI temporarily changes systems paths and restores the previous global value after each call. This supports the PR’s stated process-wide-default preservation requirement.
[::ai-dynamo/aiconfigurator::](src/aiconfigurator/cli/api.py:1242-1249;tests/unit/cli/test_cli_api.py:133-179) - The FPM collector contract requires
k8s_deploy.yaml,fpm_env.sh, andrun.sh; accepts onlyPod,LeaderWorkerSet, orPodCliqueSetworkloads; and validates native benchmark result schema version2. Generated AISimulate plans or collector invocations should remain aligned with these artifacts and result conventions.[::ai-dynamo/aiconfigurator::](src/aiconfigurator/fpm_contract.py:14-66) - The collector exposes FPM-specific deployment and campaign options, including
--generator-config,--dynamo-version,--fpm-orchestrator,--fpm-artifact-root, and--fpm-database-root.[::ai-dynamo/aiconfigurator::](collector/fpm_forward/config.py:308-503) - The frozen reference package is version
0.12.0, withaiconfigurator-core==0.12.0, and explicitly describes active development as moved to AISimulate.[::ai-dynamo/aiconfigurator::](pyproject.toml:5-10,pyproject.toml:40-44)
ai-dynamo/dynamo
- Dynamo’s replay capacity test already includes a
systems_pathfield in the AIC estimation payload, defaulting toNone.[::ai-dynamo/dynamo::](lib/bindings/python/tests/replay/test_replay_aic_capacity.py:104-114) - The broad search found no production Dynamo consumer of
systems_path; the remaining matches are FPM telemetry/event infrastructure and tests. Any replay/export integration therefore depends on the AISimulate-side replay adapter rather than a clearly established Dynamo runtime contract.[::ai-dynamo/dynamo::](lib/bindings/python/tests/replay/test_replay_aic_capacity.py:112,lib/bindings/python/src/dynamo/_internal/aic.py)
🔇 Additional comments (8)
python/aisimulate/src/aisimulate/support/fpm.py (1)
48-48: 🚀 Performance & ScalabilityThe collector defines
--fpm-max-prefill-islas the maximum total scheduled prefill new-token axis. It separately describes batch-size points as covering the per-request length.FPMCollectionOptionspasses this value toPrefillSamplingProfile.build(max_isl=...), so multiplying input tokens by concurrency matches the option's total-axis contract. The per-sequence premise is contradicted.python/aisimulate/tests/unit/test_support_cli.py (1)
1-427: LGTM!python/aisimulate/tests/unit/test_support_plan.py (1)
1-610: LGTM!tests/sweeper/test_epd.py (1)
285-285: LGTM!Also applies to: 443-446
tests/sweeper/test_model_hw.py (1)
62-62: LGTM!tests/sweeper/test_result.py (1)
489-489: LGTM!Also applies to: 548-548, 580-580, 606-606, 663-663
tests/sweeper/test_search_space.py (1)
239-239: LGTM!Also applies to: 275-275, 281-283, 304-304, 705-705, 753-753
python/aisimulate/tests/unit/test_systems_path.py (1)
273-277: 🩺 Stability & AvailabilityThe claim is refuted.
python/aisimulate/src/aisimulate/__main__.pyimports and invokesaisimulate.main:main, sopython -m aisimulatehas a valid package entry point.
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REQUEST_CHANGES · 5.8/10 · high confidence
What this PR does
This PR adds a guided self-service FPM onboarding flow that writes request, collection-plan, prediction, and bounded recommendation artifacts, and it adds a single local systems root that is carried through prediction, capacity estimation, recommendation, export, and replay.
The change does a notably thorough job of keeping the new local systems root isolated from process-wide defaults and of testing request identity, symlink handling, campaign reuse, candidate export, and fresh-process replay.
Why this score
The result is 5.8/10 with REQUEST_CHANGES because the generated runnable collector vector bypasses the identity, locking, and occupied-campaign protections introduced by the wrapper, exposing a documented path to checkpoint replacement and raw-artifact deletion. Three lower-severity exact-head issues also remain, but their existing CodeRabbit threads are not selected for duplicate posting. Fable could not be verified, so this is a Codex-only recommendation with unavailable consensus.
Signed-off-by: Yiming Liu <yimingl@nvidia.com>
Keep generated collection commands behind support guards, bind validated deployment options to collector resume identity, release plan locks on process exit, classify execution failures, and construct trusted recommendation commands in the guide. Refs: AIC-1963 Signed-off-by: Yiming Liu <yimingl@nvidia.com>
Signed-off-by: Yiming Liu <yimingl@nvidia.com>
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Inline comments:
In `@python/aisimulate/tests/unit/test_systems_path.py`:
- Line 226: Strengthen the assertion in the _predict test to verify a
timing-derived latency metric from the local_profiles[0] 20.0 ms FPM rows, not
just completed_requests. Ensure the assertion distinguishes the inferred
backend_version path when explicit_version is False from the explicit-version or
fallback timing source, while retaining the existing completion assertion.
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ai-dynamo/aiconfigurator
- FPM collection requires
k8s_deploy.yaml,fpm_env.sh, andrun.sh, with supported workload types limited toPod,LeaderWorkerSet, andPodCliqueSet. Generated plans and collector arguments should remain aligned.[::ai-dynamo/aiconfigurator::](src/aiconfigurator/fpm_contract.py:14-66) - The CLI uses plural
--systems-paths, while core APIs accept singularsystems_path; this mapping must remain intact.[::ai-dynamo/aiconfigurator::](src/aiconfigurator/cli/main.py:148-153,aic-core/src/aiconfigurator_core/sdk/memory.py:265-309)
ai-dynamo/dynamo
- Replay capacity inputs already include optional
systems_path, defaulting toNone. No broader production consumer was found.[::ai-dynamo/dynamo::](lib/bindings/python/tests/replay/test_replay_aic_capacity.py:104-114)
🔇 Additional comments (8)
docs/self-service-support.md (2)
101-105: 🗄️ Data Integrity & IntegrationWhether the recomputed candidate list can diverge from plan generation cannot be decided. The required definitions in
python/aisimulate/src/aisimulate/support/plan.py,python/aisimulate/src/aisimulate/support/schema.py, and the related tests were unavailable because the repository clone failed. The plan’s candidate-selection contract and persistedsupport-plan.jsonstructure therefore remain uninspected.
56-56: 🎯 Functional CorrectnessThe repository clone failed again before the FPM guide or collector source could be inspected. Whether the guide states or links the required artifacts and workload types cannot be decided from the available evidence.
python/aisimulate/src/aisimulate/support/cli.py (1)
22-22: LGTM!Also applies to: 95-101, 321-321
python/aisimulate/src/aisimulate/support/fpm.py (1)
10-10: LGTM!Also applies to: 13-13, 25-25, 62-67, 127-127, 142-142, 155-161
python/aisimulate/collector/fpm_forward/cli.py (1)
19-19: LGTM!python/aisimulate/tests/unit/test_support_cli.py (1)
386-451: LGTM!Also applies to: 453-527, 530-622
python/aisimulate/tests/unit/test_support_plan.py (1)
152-152: LGTM!Also applies to: 158-159, 213-213, 227-240, 302-302, 453-468, 482-483, 531-532, 593-594, 623-659, 661-684, 702-703
tests/test_epd_cli.py (1)
87-87: LGTM!Also applies to: 90-92, 277-277, 303-304, 364-364, 457-514
Signed-off-by: Yiming Liu <yimingl@nvidia.com>
Support-matrix imports and the database fixture leaked the checkout source path into spawned recommendation workers, which then failed to find the native runtime in wheel-based CI. Restrict standalone path bootstrapping to script execution, restore fixture import state, and cover both support-matrix imports in isolated processes. Signed-off-by: Yiming Liu <yimingl@nvidia.com>
Signed-off-by: Yiming Liu <yimingl@nvidia.com>
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Signed-off-by: Yiming Liu <yimingl@nvidia.com>
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Signed-off-by: Yiming Liu <yimingl@nvidia.com>
Signed-off-by: Yiming Liu <yimingl@nvidia.com>
Signed-off-by: Yiming Liu <yimingl@nvidia.com>
Signed-off-by: Yiming Liu <yimingl@nvidia.com>
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Review of 7f7cd555 (paths relative to python/aisimulate/src/aisimulate/). I read this together with #238 and #248 as one stack; findings that #238 already changes are marked.
Overall
The foundation is reasonable: request hash as frozen identity, plan documents regenerated and compared byte-for-byte, collection gated on a matching plan. Two things need fixing before this PR can stand on its own; the rest are smaller.
1. [P1] Declared framework_version and the published data version are never reconciled
support/plan.py:70pinsbackend_version: request.identity.framework_versioninto every generated predict/recommend config.- The collector publishes formal data under the pod-reported runtime version (
collector/fpm_forward/database.py:538-552), and nothing in this PR passes the declared version to the collector or checks the result afterwards (support/fpm.py:33-59has no version argument; the plan text atplan.py:194-197says the collector does not apply version declarations).
Counterexample: user declares --framework-version 0.25.1, the pod reports 0.25.1+cu128. Collection succeeds into systems/data/<gpu>/vllm/0.25.1+cu128/; predict/pilot.yaml asks for 0.25.1 with fallback_policy: deny and fails with no data. #238 adds a pod-version-vs-profile check for the profile path, which confirms the hazard; this PR alone needs the same gate, or a post-collection check that systems/data/<gpu>/vllm/<framework_version>/ exists.
2. [P2] --overwrite cannot repair the most likely crash state
create_plan writes support-plan.json last (plan.py:220-228, :320-324). Any interruption after the first file leaves a non-empty directory without a plan: --overwrite fails in check_plan ("a readable onboarding plan is required"), and a fresh plan fails ("nonempty; use overwrite"). docs/fpm-self-service.md:56 promises repair. test_racing_writer_cannot_be_overwritten_or_reported_as_success produces exactly this state and never asserts recovery. Writing request.yaml + support-plan.json first, or allowing repair when request.yaml matches, fixes it.
3. [P2] Execution-path robustness
support/fpm.py:153importscollector.fpm_forward.cliinside the lock;ImportErroris not in the(ValidationError, ValueError, OSError)set atmain.py:306, so an editable install (the layout the docs tell users to use) gets a raw traceback on--execute.support/plan.py:143locates the packaged system spec viaPath(__file__).resolve().parents[2]; every other consumer usesimportlib.resources.files("aisimulate_core"). A split or zipped install reports "GPU has no packaged system specification" instead of the real cause. Still present at #248 head.
4. Note on "legacy engine.systems_path normalizes to systems_paths"
At the merge-base neither EstimatorPolicyConfig nor SearchSpace has a systems_path field, so this is a new second spelling rather than a legacy migration. The two spellings also differ in relative-path handling (config/common.py:21-27 absolutizes systems_path at validation; systems_paths entries are resolved at runtime CWD in rust_engine_step.py:419). Either absolutize both or neither, and adjust the doc line at docs/fpm-self-service.md:132.
Review assisted by Claude Code.
Signed-off-by: Yiming Liu <yimingl@nvidia.com>
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@tianhaox @jasonqinzhou The in-scope feedback is addressed in 45fa2577. Please re-review this head. I have also replied to the older unresolved inline threads with the relevant code and regression coverage.
Validation on The separate Dynamo replay Planner adapter remains outside #196 and is explicitly documented as a limitation. Full CI and the required human approvals remain outstanding. @coderabbitai review |
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- 🪄 Fix CodeRabbit comments on this PR
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Inline comments:
Review comments at @docs/fpm-self-service.md:
- Line 8: Remove the PR-status sentence from the onboarding overview, and
replace the draft-revision wording in the repair guidance with version-neutral
language: say that after an AISimulate upgrade changes generated plan files,
users must recreate the plan in a new output directory because repair compares
files byte for byte and does not migrate plans from earlier versions. Preserve
the saved-request identity-check behavior.
Review comments at @python/aisimulate/src/aisimulate/compiler.py:
- Around line 389-390: Update the metadata construction in
`performance_model_metadata` to record the effective roots used by the worker:
prefer `worker.timing.systems_paths`, falling back to `engine.systems_paths`,
and omit the field only if both are unset. Add a test with different worker- and
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README.mddocs/fpm-self-service.mdpython/aisimulate/collector/fpm_forward/cli.pypython/aisimulate/src/aisimulate/capacity.pypython/aisimulate/src/aisimulate/cli_args.pypython/aisimulate/src/aisimulate/compiler.pypython/aisimulate/src/aisimulate/config/common.pypython/aisimulate/src/aisimulate/config/engine.pypython/aisimulate/src/aisimulate/main.pypython/aisimulate/src/aisimulate/recommend.pypython/aisimulate/src/aisimulate/supervision.pypython/aisimulate/src/aisimulate/support/__init__.pypython/aisimulate/src/aisimulate/support/cli.pypython/aisimulate/src/aisimulate/support/fpm.pypython/aisimulate/src/aisimulate/support/plan.pypython/aisimulate/src/aisimulate/support/schema.pypython/aisimulate/src/aisimulate/sweeper/config.pypython/aisimulate/src/aisimulate/sweeper/deploy.pypython/aisimulate/src/aisimulate/sweeper/kv_load.pypython/aisimulate/src/aisimulate/sweeper/sample.pypython/aisimulate/src/aisimulate/sweeper/search.pypython/aisimulate/src/aisimulate_core/sdk/engine.pypython/aisimulate/tests/unit/support_matrix/test_script_imports.pypython/aisimulate/tests/unit/test_support_cli.pypython/aisimulate/tests/unit/test_support_plan.pypython/aisimulate/tests/unit/test_systems_path.pypython/aisimulate/tools/support_matrix/compare_support_matrix.pypython/aisimulate/tools/support_matrix/generate_support_matrix.pytests/sweeper/test_epd.pytests/sweeper/test_model_hw.pytests/sweeper/test_result.pytests/sweeper/test_search.pytests/sweeper/test_search_providers.pytests/sweeper/test_unified_optimizer.pytests/test_epd_cli.py
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🪛 ast-grep (0.45.3)
python/aisimulate/tests/unit/support_matrix/test_script_imports.py
[error] 16-35: Command coming from incoming request
Context: subprocess.run(
[
sys.executable,
"-c",
"""
import importlib
import sys
original_path = list(sys.path)
importlib.import_module(sys.argv[1])
assert sys.path == original_path, (original_path, sys.path)
""",
f"tools.support_matrix.{script}",
],
cwd=Path(file).resolve().parents[3],
capture_output=True,
text=True,
timeout=30,
check=False,
)
Note: [CWE-78] Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection').
(subprocess-from-request)
python/aisimulate/src/aisimulate/support/cli.py
[info] 162-162: use jsonify instead of json.dumps for JSON output
Context: json.dumps(value, sort_keys=True)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[info] 165-165: use jsonify instead of json.dumps for JSON output
Context: json.dumps(item, sort_keys=True)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
python/aisimulate/src/aisimulate/support/schema.py
[warning] 140-140: Regex pattern passed to re is built from a non-literal (variable, call, concatenation, or f-string) value. If that value is attacker-controlled it can introduce a malicious pattern with catastrophic backtracking (ReDoS). Use a hardcoded literal pattern, or validate/escape untrusted input with re.escape() and bound the regex complexity before compiling.
Context: re.fullmatch(_DNS_SUBDOMAIN, parts[0])
Note: [CWE-1333] Inefficient Regular Expression Complexity.
(redos-non-literal-regex-python)
python/aisimulate/src/aisimulate/support/fpm.py
[info] 64-64: use jsonify instead of json.dumps for JSON output
Context: json.dumps(value)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
python/aisimulate/tests/unit/test_systems_path.py
[info] 238-250: use jsonify instead of json.dumps for JSON output
Context: json.dumps(
{
"schema_name": "aic_fpm_forward_perf",
"schema_version": 6,
"coordinate_system": "iteration_totals_balanced_v1",
"measurement_policy": "dynamo_native_single_sample_v1",
"row_count": len(rows),
"parquet_sha256": hashlib.sha256(parquet.read_bytes()).hexdigest(),
"system": _SYSTEM,
"backend": "vllm",
"backend_version": _VERSION,
}
)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[error] 514-532: Command coming from incoming request
Context: subprocess.run(
[
sys.executable,
"-m",
"aisimulate",
"predict",
"--config",
str(saved),
"--output-dir",
str(tmp_path / f"predict-{root.name}"),
"--format",
"json",
],
cwd=tmp_path,
capture_output=True,
text=True,
timeout=60,
check=False,
)
Note: [CWE-78] Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection').
(subprocess-from-request)
python/aisimulate/tests/unit/test_support_cli.py
[error] 338-346: Command coming from incoming request
Context: subprocess.run(
["/bin/sh", "-c", summary["next"]],
cwd=tmp_path,
env={**os.environ, "PATH": str(Path(sys.executable).parent) + os.pathsep + os.environ.get("PATH", "")},
stdin=subprocess.DEVNULL,
capture_output=True,
text=True,
timeout=30,
)
Note: [CWE-78] Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection').
(subprocess-from-request)
[info] 437-450: use jsonify instead of json.dumps for JSON output
Context: json.dumps(
{
"architectures": ["LlamaForCausalLM"],
"model_type": "llama",
"num_hidden_layers": 2,
"hidden_size": 128,
"intermediate_size": 256,
"num_attention_heads": 4,
"num_key_value_heads": 2,
"vocab_size": 512,
"max_position_embeddings": 16384,
"torch_dtype": "bfloat16",
}
)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[info] 486-493: use jsonify instead of json.dumps for JSON output
Context: json.dumps(
{
"schema_name": "aic_fpm_collector_provenance",
"schema_version": 1,
**identity,
"runtime": {"backend": "vllm", "backend_version": version},
}
)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[info] 520-549: use jsonify instead of json.dumps for JSON output
Context: json.dumps(
{
"schema_version": 2,
"artifact_type": "rank",
"status": "complete",
"valid": True,
"usable": True,
"timing_valid": True,
"run_id": "synthetic-run",
"grid_digest": "synthetic-grid",
"config": {"mode": phase},
"coverage": {"expected_points": 1, "completed_points": 1, "skipped_points": 0},
"dp": {"rank": 0, "size": 1},
"results": [{"point": point, "fpms": [fpm]}],
"iteration_groups": [
{
"benchmark_id": 1,
"point": point,
"expected_dp_ranks": [0],
"complete": True,
"wall_time": 0.01,
"rank_results": [{"dp_rank": 0, "fpms": [fpm]}],
}
],
"skipped_points": [],
"missing_phases": [],
"timing": {"benchmark_elapsed_seconds": 1.0, "measured_iteration_seconds": 0.01},
"kvwarm": {"enabled": True, "warm_eligible": True, "skip_reason": None},
}
)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[info] 732-732: use jsonify instead of json.dumps for JSON output
Context: json.dumps({"schema": runner.CHECKPOINT_SCHEMA, "plan_sha256": plan.sha256, "cells": {}})
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[error] 828-836: Command coming from incoming request
Context: subprocess.run(
[sys.executable, *preview[1:]],
cwd=tmp_path,
env=environment,
stdin=subprocess.DEVNULL,
capture_output=True,
text=True,
timeout=30,
)
Note: [CWE-78] Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection').
(subprocess-from-request)
[info] 843-849: use jsonify instead of json.dumps for JSON output
Context: json.dumps(
{
"schema": CHECKPOINT_SCHEMA,
"plan_sha256": frozen["sha256"],
"cells": {frozen["cells"][0]["cell_id"]: []},
}
)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[error] 853-861: Command coming from incoming request
Context: subprocess.run(
[sys.executable, "-m", "aisimulate", *command, "--resume"],
cwd=tmp_path,
env=environment,
stdin=subprocess.DEVNULL,
capture_output=True,
text=True,
timeout=30,
)
Note: [CWE-78] Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection').
(subprocess-from-request)
[error] 878-885: Command coming from incoming request
Context: subprocess.run(
[sys.executable, *preview[1:]],
cwd=tmp_path,
stdin=subprocess.DEVNULL,
capture_output=True,
text=True,
timeout=30,
)
Note: [CWE-78] Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection').
(subprocess-from-request)
[error] 945-951: Command coming from incoming request
Context: subprocess.run(
[sys.executable, "-m", "aisimulate.main", *_init_args(output)],
stdin=subprocess.DEVNULL,
capture_output=True,
text=True,
timeout=30,
)
Note: [CWE-78] Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection').
(subprocess-from-request)
python/aisimulate/src/aisimulate/support/plan.py
[info] 32-32: use jsonify instead of json.dumps for JSON output
Context: json.dumps(request.model_dump(mode="json", exclude_none=True), sort_keys=True, separators=(",", ":"))
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[info] 232-232: use jsonify instead of json.dumps for JSON output
Context: json.dumps(commands, indent=2, sort_keys=True)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[info] 233-233: use jsonify instead of json.dumps for JSON output
Context: json.dumps(plan, indent=2, sort_keys=True)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
python/aisimulate/tests/unit/test_support_plan.py
[info] 63-63: use jsonify instead of json.dumps for JSON output
Context: json.dumps(payload)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[error] 200-235: Command coming from incoming request
Context: subprocess.run(
[
sys.executable,
"-c",
"""
import importlib.abc
import sys
from pathlib import Path
blocked = ("aisimulate._runtime", "aisimulate_core", "aiconfigurator", "aiconfigurator_core",
"numpy", "pandas", "torch", "transformers", "huggingface_hub", "collector")
class NoEstimatorRuntime(importlib.abc.MetaPathFinder):
def find_spec(self, fullname, path=None, target=None):
if fullname == "aisimulate_core":
return None # Resource lookup may inspect the package spec without importing it.
assert not any(fullname == name or fullname.startswith(name + ".") for name in blocked), fullname
sys.meta_path.insert(0, NoEstimatorRuntime())
from aisimulate.supervision import main
request, output = sys.argv[1:]
assert main(["onboard", "plan", "--config", request, "--output-dir", output, "--format", "json"]) == 0
assert main(["onboard", "collect-fpm", "--config", request, "--output-dir", output]) == 0
assert (Path(output) / "systems/h200_sxm.yaml").is_file()
assert not any(name == prefix or name.startswith(prefix + ".") for name in sys.modules for prefix in blocked)
""",
str(request),
str(root),
],
cwd=tmp_path,
capture_output=True,
text=True,
timeout=30,
check=False,
)
Note: [CWE-78] Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection').
(subprocess-from-request)
[info] 352-352: use jsonify instead of json.dumps for JSON output
Context: json.dumps(payload)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[error] 414-427: Command coming from incoming request
Context: subprocess.run(
[sys.executable, "-c", snippet],
cwd=workdir,
env={
**os.environ,
"PATH": str(wrapper.parent) + os.pathsep + os.environ.get("PATH", ""),
"SUPPORT_TEST_EVALUATED": str(evaluated),
"SUPPORT_TEST_ESTIMATOR_REQUESTS": str(estimator_requests),
},
capture_output=True,
text=True,
timeout=30,
check=False,
)
Note: [CWE-78] Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection').
(subprocess-from-request)
[info] 527-527: use jsonify instead of json.dumps for JSON output
Context: json.dumps(commands, indent=4 if modification == "formatting" else 2, sort_keys=True)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[info] 641-641: use jsonify instead of json.dumps for JSON output
Context: json.dumps({"schema": "aic-fpm-collector-checkpoint-v3", "plan_sha256": sha, "cells": {}})
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[error] 883-896: Command coming from incoming request
Context: subprocess.Popen(
[
sys.executable,
"-c",
"import sys; from pathlib import Path; from aisimulate.support.plan import plan_lock; "
"lock = plan_lock(Path(sys.argv[1])); lock.enter(); "
"print('locked', flush=True); sys.stdin.read(); lock.exit(None, None, None)",
str(tmp_path),
],
stdin=subprocess.PIPE,
stdout=subprocess.PIPE,
stderr=subprocess.PIPE,
text=True,
)
Note: [CWE-78] Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection').
(subprocess-from-request)
🔀 Multi-repo context ai-dynamo/dynamo, ai-dynamo/aiconfigurator
Linked repositories findings
ai-dynamo/dynamo
- Dynamo’s replay Planner bridge receives
performance_model_metadata, but_aic_session_kwargs()does not forwardsystems_pathsorsystems_pathto AIC session creation. Custom systems roots will therefore be lost in Planner replay. [::ai-dynamo/dynamo::] (components/src/dynamo/replay/api.py:295-302,components/src/dynamo/replay/planner.py:161-222) - Replay hook extraction only preserves
planner_config, router configuration, and AIC router settings; no systems-root field is handled there. [::ai-dynamo/dynamo::] (components/src/dynamo/replay/simulation.py:164-209)
ai-dynamo/aiconfigurator
- The adapter contract accepts
runtime.systems_pathsand forwards it to the estimation API. [::ai-dynamo/aiconfigurator::] (src/aiconfigurator/sdk/config_adapter/schema.py:125-137,src/aiconfigurator/sdk/config_adapter/api.py:35-75) - AIC gives an explicit engine
systems_pathprecedence over fallback roots, so omitting this field can select the wrong perf database. [::ai-dynamo/aiconfigurator::] (aic-core/rust/aiconfigurator-core/src/engine/runtime.rs:398-414)
🔇 Additional comments (32)
python/aisimulate/tools/support_matrix/compare_support_matrix.py (1)
30-33: 📐 Maintainability & Code QualityThe import-order concern is refuted. Both scripts import only standard-library modules before the
__main__path setup. The repository-localtools.support_matrix.support_matriximport occurs afterward, so direct execution reaches the path setup first.python/aisimulate/src/aisimulate/config/common.py (1)
21-38: LGTM!python/aisimulate/src/aisimulate/config/engine.py (1)
356-368: LGTM!Also applies to: 392-394
python/aisimulate/src/aisimulate/capacity.py (1)
247-247: LGTM!python/aisimulate/src/aisimulate/sweeper/config.py (1)
528-529: LGTM!Also applies to: 653-656, 890-892
python/aisimulate/tests/unit/test_systems_path.py (1)
1-541: LGTM!python/aisimulate/src/aisimulate/compiler.py (1)
438-441: LGTM!Also applies to: 495-495
python/aisimulate/src/aisimulate/recommend.py (1)
799-800: LGTM!python/aisimulate/src/aisimulate/sweeper/deploy.py (1)
55-56: LGTM!Also applies to: 104-107, 135-135
python/aisimulate/src/aisimulate/sweeper/kv_load.py (1)
95-96: LGTM!python/aisimulate/src/aisimulate/sweeper/sample.py (1)
139-140: LGTM!python/aisimulate/src/aisimulate/sweeper/search.py (1)
619-630: LGTM!Also applies to: 641-645
python/aisimulate/src/aisimulate_core/sdk/engine.py (1)
266-267: LGTM!Also applies to: 276-280
tests/sweeper/test_epd.py (1)
288-288: LGTM!Also applies to: 446-449
tests/sweeper/test_model_hw.py (1)
62-62: LGTM!tests/sweeper/test_result.py (1)
555-555: LGTM!Also applies to: 614-614, 646-646, 672-672, 729-729, 801-801
tests/sweeper/test_search.py (1)
158-158: LGTM!Also applies to: 310-310, 1100-1100
tests/sweeper/test_search_providers.py (1)
252-252: LGTM!Also applies to: 380-380
tests/sweeper/test_unified_optimizer.py (1)
151-151: LGTM!Also applies to: 196-196, 246-246, 291-291, 356-356
tests/test_epd_cli.py (1)
493-493: LGTM!python/aisimulate/src/aisimulate/support/__init__.py (1)
1-8: LGTM!python/aisimulate/src/aisimulate/support/schema.py (1)
1-166: LGTM!python/aisimulate/src/aisimulate/support/plan.py (1)
1-340: LGTM!python/aisimulate/tests/unit/test_support_plan.py (1)
1-1060: LGTM!python/aisimulate/src/aisimulate/cli_args.py (1)
14-14: LGTM!Also applies to: 79-79
python/aisimulate/src/aisimulate/main.py (1)
51-51: LGTM!Also applies to: 303-309
python/aisimulate/src/aisimulate/supervision.py (1)
345-353: LGTM!python/aisimulate/src/aisimulate/support/cli.py (1)
1-332: LGTM!python/aisimulate/src/aisimulate/support/fpm.py (1)
1-181: LGTM!python/aisimulate/collector/fpm_forward/cli.py (1)
19-19: LGTM!python/aisimulate/tests/unit/test_support_cli.py (1)
1-955: LGTM!README.md (1)
267-267: LGTM!
tianhaox
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Re-reviewed 45fa2577. All four items from my review are addressed:
- Published runtime version is now checked against
framework_versionafter successful formal collection, failing closed and preserving artifacts (support/fpm.py:150-180). - Interrupted plans repair from a matching
request.yamlwhensupport-plan.jsonis absent (support/plan.py:314-322). - Collector import moved inside the execution handler; packaged specs located via
importlib.resources(support/plan.py:145-150). systems_pathsentries normalized at load throughSystemsRoot; docs now callsystems_pathan onboarding alias.
Approving for the AISimulate scope. Full CI and owner approvals remain as noted.
Review assisted by Claude Code.
Preserve MoE source validation alongside shared systems-root normalization. Align onboarding tests with main's first-token timing and optional DCP field. Signed-off-by: Simone Chen <simonec@nvidia.com>
Signed-off-by: Simone Chen <simonec@nvidia.com>
Signed-off-by: Simone Chen <simonec@nvidia.com>
|
/ok to test |
@simone-chen, there was an error processing your request: See the following link for more information: https://docs.gha-runners.nvidia.com/cpr/e/1/ |
|
/ok to test a7c1ccd |
4 participants
What changes
aisimulate onboard init,plan, andcollect-fpmguide users from a pinned model/runtime and target hardware to a saved collection plan and ordinary prediction/recommendation configs. Planning works before timing collection and reports execution and data readiness explicitly.onboardis the sole public command.The foundation preserves canonical engine controls, selected data versions, custom systems and external FPM data roots, capacity handling and minimum-GPU recommendation behavior. Generated configs select
estimation_mode: fpm_interpolationandfallback_policy: deny. Collection requires a matching saved plan and explicit execution, preserves frozen identity and collected artifacts, and uses explicit resume with an OS advisory lock. The optional allocation-wide recommendation candidate is a separate pinned run of identical workers.This branch is refreshed onto main
1267d0f245765ecdf127466dc4ed31d114aced6a. #238 adds class-free profiles and direct interpolation. #248 adds config-derived profiles, review/edit/accept, agent checkpointing, observed memory, replay validation and the onboarding interface to the existing Slurm collector.Review and compatibility
support/plan.py,support/fpm.py,support/cli.py,compiler.py, and sweeper root/version propagation.engine.systems_pathalias normalizes into canonicalsystems_paths; both spellings resolve local roots at config load, and timing controls survive export/reload. Custom timing providers retain their behavior.Validation
Review fixes in
45fa2577a00ee24b3071f46c48d66db7bfd13196: 294 onboarding/path/collector-isolation tests, 323 collector regressions, 347 configuration/estimator tests, and 386 frozen parity tests passed with no golden changes. Repository-wide Ruff lint and formatting (905 files), documentation destinations, source/legal policy, Python compilation, and whitespace checks passed. The native extension was rebuilt from this checkout with the frozen dependency lockfile.Regression coverage includes exact declared/published runtime-version matching, completed resume after raw-artifact reclamation, interrupted-plan repair, separate/ZIP package resources without native imports, import-error exit codes, and saved configs reloaded from another working directory. Collector tests use synthetic CPU resource fixtures; no GPU collection or predictive-accuracy qualification was performed.
Independent task reviews and final whole-branch Standards and Spec reviews passed with no findings. Local validation does not replace applicable human approval and hosted Fast/Full CI on this head. The separate Dynamo replay Planner adapter does not yet forward custom systems roots; that downstream limitation is documented and remains outside this PR.
Fast CI passed on head
45fa2577, including Repository Policy, Python Static Checks, and Rust Format.Tracking
AIC-1963. #238 and #248 remain separate stacked PRs. The optional registered-model guide from #229 is included in #248. PR #46 is not a dependency.