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feat(replay): qualify public AgentX M1 execution - #190
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No actionable comments were generated in the recent review. 🎉 ℹ️ Recent review info⚙️ Run configurationConfiguration used: Path: .coderabbit.yaml Review profile: ASSERTIVE Plan: Enterprise Run ID: 📒 Files selected for processing (3)
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Included review availability: Your plan provides up to 12 included reviews per hour; 9 remain after this review. 📜 Recent review details🧰 Additional context used📓 Path-based instructions (4)Preserve deterministic Replay semantics and explicit validation.⚙️ CodeRabbit configuration file Files:
Require coverage of the changed behavior and its negative or boundary cases.⚙️ CodeRabbit configuration file Files:
Read REVIEW.md before commenting.⚙️ CodeRabbit configuration file Files:
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...📄 CodeRabbit inference engine (AGENTS.md) Files:
🪛 ast-grep (0.45.3)tests/test_unified_traffic_runtime.py[error] 413-420: Command coming from incoming request (subprocess-from-request) [info] 415-415: use jsonify instead of json.dumps for JSON output (use-jsonify) 🔀 Multi-repo context ai-dynamo/dynamo, ai-dynamo/aiconfiguratorLinked repositories findingsai-dynamo/dynamo
ai-dynamo/aiconfigurator
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📝 SummaryRisk and review focusRisk level: medium. Human review should focus on:
Changed behavior and contracts
Evidence supplied
Evidence still missing
Merge readinessTechnical evidence supports the described behavior. Merge readiness remains conditional on human review of the three focus areas and confirmation of current CI status. WalkthroughAdds AgentX M1 qualification support across Rust and Python replay paths. The changes validate supported agentic configurations, materialize Weka inputs, verify deterministic replay evidence, compare CLI and Python reports, and document functional-only qualification. ChangesAgentX M1 qualification
Priority: ⬇️ Low Estimated code review effort: 4 (Complex) | ~60 minutes Unblocks: 1 PR Merge Risk: 🟡 Moderate · up to Unsupported AgentX Dynamo configurations can run and be presented as functional replay instead of being rejected. Declare the supported capability boundary before merging. 🚥 Pre-merge checks | ✅ 7 | ❌ 1❌ Failed checks (1 warning)
✅ Passed checks (7 passed)
Full details: Cross-Layer ContractExplanation The main Rust/Python/CLI contract is connected, but the new qualification entry point has an untested orchestration path. Resolution Add deterministic tests for the new public paths. Invoke
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Signed-off-by: Harry Lee <harrli@nvidia.com>
Signed-off-by: Harry Lee <harrli@nvidia.com>
Signed-off-by: Harry Lee <harrli@nvidia.com>
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Signed-off-by: Harry Lee <harrli@nvidia.com>
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Signed-off-by: Harry Lee <harrli@nvidia.com>
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Reviewed After #122 merged, this PR targets |
Signed-off-by: Jason Zhou (Engrg-Hardware 1) <jasonzho@nvidia.com>
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@coderabbitai review Please review current head 3b1063f against main. The previous status was a skipped review. Both merge conflicts are resolved, the public M1 patch is unchanged, and main’s atomic feedback validation and regression tests are preserved. Full local Rust validation passed: 1,383 tests and one existing ignore. |
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Actionable comments posted: 3
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Inline comments:
In `@python/aisimulate/src/aisimulate/sweeper/replay.py`:
- Around line 181-183: Update DynamoReplayRunnerFactory to explicitly declare
supported_agentic_backends, supports_agentic_host_offload, and
supports_agentic_speculative_decoding using the downstream contract’s intended
values, rather than inheriting permissive shared defaults. Leave the shared
defaults unchanged and preserve the factory’s existing agentic formats and lanes
configuration.
In `@scripts/qualify_agentx_m1.py`:
- Line 65: Update the engine configuration in run_gate to use the validated
graph["block_size"] value instead of the hard-coded 64, ensuring traffic and
engine settings remain consistent for all fixtures. Add a gate test using the
existing block-size-4 Weka fixture and trace the changed value through its
actual consumer and output.
In `@tests/test_unified_traffic_runtime.py`:
- Line 386: Update the test around reject_dynamo to execute in a fresh
subprocess, installing the Dynamo import blocker before importing any aisimulate
modules. Preserve the existing assertion for startup without Dynamo and follow
the repository’s established subprocess-test pattern.
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📒 Files selected for processing (12)
crates/core/examples/qualify_weka.rscrates/core/src/python.rscrates/core/src/replay/README.mdcrates/core/tests/agentx_qualification.rspython/aisimulate/src/aisimulate/main.pypython/aisimulate/src/aisimulate/output.pypython/aisimulate/src/aisimulate/runner.pypython/aisimulate/src/aisimulate/sweeper/replay.pyscripts/qualify_agentx_m1.pytests/e2e/test_unified_cli_engine.pytests/test_runner.pytests/test_unified_traffic_runtime.py
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CodeRabbit considers these linked repositories for cross-repo context during reviews:
ai-dynamo/dynamo(manual) → reviewed against open PR#14355feat/harrli/dynamo-weka-aisimulate-adapterinstead of the default branchai-dynamo/aiconfigurator(manual)
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📓 Path-based instructions (6)
Check unified CLI, Replay, Sweeper, and orchestration behavior together.
⚙️ CodeRabbit configuration file
Files:
python/aisimulate/src/aisimulate/main.pypython/aisimulate/src/aisimulate/output.pypython/aisimulate/src/aisimulate/runner.pypython/aisimulate/src/aisimulate/sweeper/replay.py
Preserve deterministic Replay semantics and explicit validation.
⚙️ CodeRabbit configuration file
Files:
crates/core/src/replay/README.md
Treat top-level exports and bindings as public and release boundaries.
⚙️ CodeRabbit configuration file
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crates/core/src/python.rs
Require coverage of the changed behavior and its negative or boundary cases.
⚙️ CodeRabbit configuration file
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tests/e2e/test_unified_cli_engine.pytests/test_runner.pytests/test_unified_traffic_runtime.py
Read REVIEW.md before commenting.
⚙️ CodeRabbit configuration file
Files:
python/aisimulate/src/aisimulate/main.pycrates/core/src/replay/README.mdpython/aisimulate/src/aisimulate/output.pypython/aisimulate/src/aisimulate/runner.pycrates/core/tests/agentx_qualification.rscrates/core/examples/qualify_weka.rstests/e2e/test_unified_cli_engine.pypython/aisimulate/src/aisimulate/sweeper/replay.pytests/test_runner.pycrates/core/src/python.rstests/test_unified_traffic_runtime.pyscripts/qualify_agentx_m1.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...
📄 CodeRabbit inference engine (AGENTS.md)
Files:
python/aisimulate/src/aisimulate/main.pycrates/core/src/replay/README.mdpython/aisimulate/src/aisimulate/output.pypython/aisimulate/src/aisimulate/runner.pycrates/core/tests/agentx_qualification.rscrates/core/examples/qualify_weka.rstests/e2e/test_unified_cli_engine.pypython/aisimulate/src/aisimulate/sweeper/replay.pytests/test_runner.pycrates/core/src/python.rstests/test_unified_traffic_runtime.pyscripts/qualify_agentx_m1.py
🪛 ast-grep (0.45.3)
tests/test_runner.py
[info] 214-214: use jsonify instead of json.dumps for JSON output
Context: json.dumps(report | qualification)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
scripts/qualify_agentx_m1.py
[info] 124-124: use jsonify instead of json.dumps for JSON output
Context: json.dumps(config)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[error] 125-146: Command coming from incoming request
Context: subprocess.run(
[
sys.executable,
"-m",
"aisimulate",
"predict",
"--stack",
"engine",
"--config",
str(config_path),
"--output-dir",
str(directory / "result"),
"--capture-per-request",
"--format",
"json",
],
cwd=root,
capture_output=True,
text=True,
timeout=120,
check=True,
)
Note: [CWE-78] Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection').
(subprocess-from-request)
[error] 159-178: Command coming from incoming request
Context: subprocess.run(
[
"cargo",
"run",
"--quiet",
"--locked",
"-p",
"aisimulate-core",
"--example",
"qualify_weka",
"--",
str(source),
"--materialize",
str(materialized),
],
cwd=root,
capture_output=True,
text=True,
check=True,
)
Note: [CWE-78] Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection').
(subprocess-from-request)
[info] 261-261: use jsonify instead of json.dumps for JSON output
Context: json.dumps(rows[0], separators=(",", ":"))
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
[info] 270-270: use jsonify instead of json.dumps for JSON output
Context: json.dumps(report, indent=2, sort_keys=True)
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
-
Capability contract mismatch: On the branch of open PR
#14355(e205c8d),DynamoReplayRunnerFactory.capabilities()does not populate the newly addedRunnerCapabilitiesfields for supported agentic backends, host offload, or speculative decoding. [::ai-dynamo/dynamo::]components/src/dynamo/replay/simulation.py:66-86
The factory therefore relies on the new fields’ permissive defaults instead of advertising the AgentX boundary (vllm/sglangonly, no host offload, no speculation). This downstream factory should explicitly set those fields. -
Version coupling: The same branch pins both Python and Rust AISimulate dependencies to revision
d71203e489541bc98c5f4a616dcec3b225b8fb72. [::ai-dynamo/dynamo::]pyproject.toml:20,111,Cargo.toml:60
Any release consuming these new capability fields must update this coordinated pin or ensure that revision contains the contract changes. -
Existing AgentX-related fixtures use aggregated vLLM, matching the intended supported topology. [::ai-dynamo/dynamo::]
components/src/dynamo/replay/tests/e2e/configs/unified_cli/predict/dynamo/11-trace-agentic-mooncake.yaml:7-20
ai-dynamo/aiconfigurator
- No AgentX or replay-runner consumers were found. The repository explicitly directs new development and integrations to AISimulate. [::ai-dynamo/aiconfigurator::]
README.md:10-16
…startup Signed-off-by: Jason Zhou (Engrg-Hardware 1) <jasonzho@nvidia.com>
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Reviewed 85474ec648bff15c7faa96307d928ede9ad1f373 against current main 76d304aff8c4ab444b2ad36b444bc070d3028ddf.
Merge conflicts are resolved while preserving atomic feedback validation and deterministic play outcomes. The qualification gate now preserves local fixture block sizes, with regressions that failed before the fix, and standalone startup is checked in a fresh process before any AISimulate import. The Dynamo factory/dependency upgrade requirement is explicitly documented and remains part of downstream qualification.
Validation: 1,383 Rust tests passed (one existing ignore); 52 focused Python/CLI tests passed; both published-sample and local block-size-4 qualification matrices passed all 12 replays. CodeRabbit completed current-head review with no new actionable findings, and all three threads are resolved. Fast CI and Full CI passed on this head; Full CI has 53 successful jobs and the expected staging skip.
No remaining actionable issue found in the final review. Approved for the scoped AISimulate functional M1 qualification.
2 participants
Summary
Public AgentX replay needs explicit support boundaries and repeatable evidence through its Python and CLI entry points. This change qualifies aggregated vLLM/SGLang with HBM-only KV cache and speculative decoding disabled. Unsupported AgentX backend, offload, and speculation settings fail explicitly; ordinary Dynamo traces retain their existing behavior.
Default Python results retain
agentic_qualification: functional_only, and CLI tables label functional replay. The qualification gate compares direct Weka input with freshly materialized Agentic Mooncake v2, repeated Python execution, and CLI stdout and saved artifacts. Progress goes to stderr; stdout remains JSON.Review
runner.py,sweeper/replay.py, andcrates/core/src/python.rs, then the native integration tests andscripts/qualify_agentx_m1.py.main, including merged feat(replay): stabilize deterministic agentic runtime contract #121 and feat(replay): report deterministic AgentX play outcomes #122. Conflict resolution preserves main's atomic feedback validation and deterministic play outcomes. Review fixes preserve local fixture block sizes and test standalone startup in a fresh process.Validation
Validated head:
85474ec648bff15c7faa96307d928ede9ad1f373.Modeling and provenance
Fixed timing qualifies execution semantics, not prediction accuracy or AgentX benchmark fidelity. Public M1 qualification covers aggregated execution with one lane, starting at turn zero. Native causal terminal is a proxy for client response termination; HTTP/SSE delivery and client teardown are not modeled. Strict failed-play behavior does not establish full AIPerf error-policy parity.
The gate validates dataset
semianalysisai/cc-traces-weka-062126-256kat revision8fecd2fc56694469f758f0afbbb6335ad3043740, then executes play002001296e8a8c38ad9d7cc436d691afc602. Source and graph digests are checked and recorded; downloaded rows and materialized derivatives remain temporary.Implements the AISimulate portion of AIC-1815. Dynamo #14355 still needs matching AISimulate artifacts and graph/lifecycle parity evidence before the cross-repository M1 milestone is complete. Its factory must declare the new AgentX capability fields and add rejection tests alongside that dependency upgrade; the replay guide records this requirement.