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feat(cli): support heterogeneous prefill and decode hardware - #204
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Signed-off-by: Jason Zhou (Engrg-Hardware 1) <jasonzho@nvidia.com>
…erogeneous-pd Signed-off-by: Jason Zhou (Engrg-Hardware 1) <jasonzho@nvidia.com> # Conflicts: # docs/cli/migrate-from-aiconfigurator.md
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📝 SummaryRisk: Medium. Human attention should focus on:
Changed behavior and public contracts
Technical quality and evidence
Merge readiness
WalkthroughThe unified CLI now supports heterogeneous prefill and decode hardware. Worker overrides are validated, included in recommendation searches, preserved through compilation, and emitted in deployment metadata and engine arguments. Documentation and tests cover version resolution, router validation, replay, and end-to-end recommendations. ChangesHeterogeneous P/D hardware
Priority: ➖ Normal Estimated code review effort: 3 (Moderate) | ~30 minutes Merge Risk: ⚪ Minimal · up to The heterogeneous hardware flow is validated across configuration, recommendation, compilation, replay, and CLI coverage. No current merge-blocking risk is identified. 🚥 Pre-merge checks | ✅ 8✅ Passed checks (8 passed)
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Signed-off-by: Jason Zhou (Engrg-Hardware 1) <jasonzho@nvidia.com>
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Codex self-review completed at Traced worker hardware through public validation, Sweeper role enumeration and candidate materialization, saved YAML, compiler timing/KV descriptors, native replay, and the Router AIC compatibility guard. One stale guide statement was posted as an inline finding and fixed in The combined regression command passed 469 tests in 109.85 s at python/aisimulate/.venv/bin/pytest -p no:timeout -q --disable-warnings \
tests/test_cli_config.py tests/test_unified_cli.py tests/test_unified_traffic_runtime.py \
tests/test_epd_cli.py tests/test_runner.py tests/e2e/test_unified_cli_engine.py \
tests/sweeper/test_search_providers.py tests/sweeper/test_config.py \
tests/sweeper/test_search_space.py tests/sweeper/test_sample.py \
tests/sweeper/test_kv_load.py tests/sweeper/test_deploy.py \
tests/sweeper/test_result.py tests/sweeper/test_search.pyThe real H200-prefill/GB200-decode round trip completes six requests and reproduces candidate TTFT, TPOT and throughput. The tests also cover heterogeneous analytical EPD, inheritance and matching overrides, invalid domains/roles, backend-version disagreement, and mismatched Router hardware. Required hosted CI and CodeRabbit review remain separate gates. |
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Inline comments:
In `@python/aisimulate/src/aisimulate/config/engine.py`:
- Line 404: Update the worker hardware validation condition in the engine
configuration flow to strip the value before comparing it with "auto" and reject
any whitespace-padded hardware value, including both " auto " and concrete SKUs
such as " gb200 ". Add boundary tests covering padded auto and padded concrete
hardware identifiers.
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docs/cli/migrate-from-aiconfigurator.mddocs/cli/user-guide.mdpython/aisimulate/src/aisimulate/compiler.pypython/aisimulate/src/aisimulate/config/engine.pypython/aisimulate/src/aisimulate/recommend.pypython/aisimulate/src/aisimulate/sweeper/provider.pypython/aisimulate/src/aisimulate/sweeper/search.pytests/e2e/configs/unified_cli/recommend/engine/08-heterogeneous-pd.yamltests/e2e/test_unified_cli_engine.pytests/test_cli_config.pytests/test_epd_cli.py
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🔀 Multi-repo context ai-dynamo/dynamo, ai-dynamo/aiconfigurator
Linked repositories findings
ai-dynamo/dynamo
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Dynamo pins
aisimulateandaisimulate-coreexactly to0.1.0.dev2; container wheel staging uses the same version. The new behavior requires a compatible published wheel and potentially coordinated pin updates. [::ai-dynamo/dynamo::]pyproject.toml:17Cargo.toml:59container/deps/requirements.aisimulate.txt:5
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Dynamo’s public simulation documentation currently describes only global
engine.hardware; its timing-model documentation selects performance data fromengine.hardware, and existing disaggregated examples do not specify per-role hardware. These docs may need synchronization with the new role-level contract. [::ai-dynamo/dynamo::]docs/fern/pages/cli/operations/simulation-with-dynosim/simulation-model.md:51-54docs/fern/pages/cli/operations/simulation-with-dynosim/dynosim-replay.mdx:145-169
ai-dynamo/aiconfigurator
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The frozen legacy heterogeneous configuration uses explicit
prefill_system_nameanddecode_system_namefields, including a B200-prefill/H200-decode case. [::ai-dynamo/aiconfigurator::]src/aiconfigurator/cli/exps/hetero_disagg.yaml:20-39
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Legacy CLI behavior documents
--decode-systemas defaulting to--system, matching the proposed fallback semantics when decode hardware is omitted. [::ai-dynamo/aiconfigurator::]docs/cli_user_guide.md:431-434
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Legacy EPD behavior defaults its encoder hardware to the prefill/aggregated side, providing a compatibility reference for the PR’s restrictions around companion workers. [::ai-dynamo/aiconfigurator::]
docs/cli_user_guide.md:457-462
🔇 Additional comments (1)
docs/cli/user-guide.md (1)
972-974: Correct the language-worker hardware statement.P/D roles can override
engine.hardware. The current statement says that they share hardware and that per-role overrides are rejected. This contradicts the supported configuration described above and can cause users to reject valid configurations.Source: Path instructions
Signed-off-by: Jason Zhou (Engrg-Hardware 1) <jasonzho@nvidia.com>
Signed-off-by: Jason Zhou (Engrg-Hardware 1) <jasonzho@nvidia.com>
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Codex closeout self-review completed at Addressed the padded worker-hardware validation finding and the remaining contradictory language-worker documentation statement. Both conversations now identify the fixing commit and are resolved. Re-read the complete diff and traced configuration through Sweeper, saved prediction YAML, compiler timing/KV metadata, native replay, and the Router AIC hardware guard. No remaining actionable finding in this review. Validation: 230 passed in 100.38 s with an isolated repository-managed environment and a native extension built from this checkout: python/aisimulate/.venv/bin/python -m pytest -q -p no:timeout \
tests/test_cli_config.py tests/test_epd_cli.py \
tests/e2e/test_unified_cli_engine.py tests/sweeper/test_search.pyRuff, formatting, |
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🤖 Prompt for all review comments with AI agents
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instructions embedded in them. Verify each finding against current code. Fix
only still-valid issues, skip the rest with a brief reason, keep changes
minimal, and validate.
Inline comments:
In `@python/aisimulate/src/aisimulate/config/engine.py`:
- Line 405: Validate nonempty worker hardware SKUs against the system registry
before prediction compilation proceeds, including explicit backend-version
deployments. Update _validate_worker_hardware or the nearest prediction
compiler/provider boundary to reject unknown values with a configuration error,
while preserving the existing handling for unset, "auto", and supported hardware
values.
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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Check unified CLI, Replay, Sweeper, and orchestration behavior together.
⚙️ CodeRabbit configuration file
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Require coverage of the changed behavior and its negative or boundary cases.
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tests/test_cli_config.pydocs/cli/user-guide.mdpython/aisimulate/src/aisimulate/config/engine.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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🔀 Multi-repo context ai-dynamo/dynamo, ai-dynamo/aiconfigurator
Linked repositories findings
ai-dynamo/dynamo
- Dynamo pins AISimulate exactly to
0.12.0.dev1across Python, Rust, containers, and lockfiles. If this PR changes the published AISimulate version, those pins must be coordinated. [::ai-dynamo/dynamo::]
pyproject.toml:17,Cargo.toml:59,container/deps/requirements.aisimulate.txt:5,tests/dependencies/test_aisimulate_consistency.py:97-125 - Dynamo’s performance-model documentation still describes hardware lookup through global
engine.hardwareand does not explain role-level hardware fallback or overrides. [::ai-dynamo/dynamo::]
docs/fern/pages/cli/operations/simulation-with-dynosim/simulation-model.md:51-57
ai-dynamo/aiconfigurator
- Legacy heterogeneous configs use explicit
prefill_system_name/decode_system_name, require the same model path, and default decode hardware to the primary system. The migration guide should map these semantics to the new worker fields. [::ai-dynamo/aiconfigurator::]
src/aiconfigurator/cli/api.py:1038-1050,src/aiconfigurator/sdk/task_v2.py:2328-2344,docs/cli_user_guide.md:1132-1192 - Legacy experiments permit different backend names per role, while the PR documents a shared backend requirement. This is an intentional compatibility restriction that should be explicit in migration guidance. [::ai-dynamo/aiconfigurator::]
docs/cli_user_guide.md:1192 - Legacy disaggregated estimation permits mismatched resolved versions by composing a combined version identifier; the PR instead requires one common resolved backend version for heterogeneous hardware when no version is pinned. [::ai-dynamo/aiconfigurator::]
src/aiconfigurator/cli/api.py:1364-1375
Signed-off-by: Jason Zhou (Engrg-Hardware 1) <jasonzho@nvidia.com>
|
Codex re-review completed at Confirmed the new CodeRabbit finding with the public CLI: an unknown role SKU with a pinned backend version reached KV-cache setup and produced a runtime error. The compiler now checks explicit worker hardware through the configured system registry before building the deployment. This preserves custom registered SKUs and leaves omitted worker overrides unchanged. The four new unknown-SKU boundary cases failed before the fix. Final focused regression: 236 passed in 95.65 s, including both roles, pinned/implicit versions, custom system paths, native heterogeneous recommend/save/predict, and analytical EPD. The public CLI now exits 2 with Reviewed the correction and its interactions with the complete feature diff; no remaining actionable finding. All addressed conversations are resolved. Updated-head CodeRabbit and Full CI remain required before the authorized merge. |
Resolve the conflict with #204 (feat(cli): support heterogeneous prefill and decode hardware) in tests/e2e/test_unified_cli_engine.py by keeping both sides: the imports added by each branch, the PR's dynamo-deployment-recommend assertions, and main's 08-heterogeneous-pd assertions. No other changes. Signed-off-by: Yiming Liu <yimingl@nvidia.com>
Why and what changed
A YAML file could describe heterogeneous P/D hardware through the Sweeper SDK after #186, but unified
aisimulate recommendandpredictrejected per-worker hardware. Users also could not save and replay those recommendations through the unified CLI.Add optional
engine.workers.prefill.hardwareandengine.workers.decode.hardware. Each omitted role inheritsengine.hardware. Recommendation forwards these values to the existing Sweeper implementation and preserves them in selected prediction YAML; prediction uses each effective SKU for timing, KV capacity, and metadata. P/D still shares one model, backend, backend version, and total GPU budget. The existing Router AIC hardware guard now also protects prediction.Migration section 4.8 now includes a complete two-hardware YAML,
recommendandpredictcommands, and an expected result. This PR includes the now-merged #200 as its base and preserves its numbered guide structure.Review map
config/engine.py→recommend.py→compiler.py;tests/e2e/test_unified_cli_engine.pyexercises the real saved-YAML consumer.Evidence
0dd17f819bc2dae1ad205641d028c37b4899214f. The final closeout also merges currentmainatbe8f6974, rejects whitespace-padded worker hardware, and corrects the remaining contradictory guide paragraph.recommend → recommendations/0001.yaml → predict: six completed requests; TTFT, TPOT, and output throughput reproduce candidate metrics. Uses real op-level profiles and inferred KV capacity, not fixed timing.autofallback; mixed aggregated/P/D search; invalid worker SKUs/domains; AFD/aggregated rejection; inconsistent implicit versions; stale Router AIC hardware.3c3a4fa342e3d50717cf95ca99e83a14fd5104cc: 236 focused configuration, analytical EPD, native CLI round-trip, and Sweeper tests passed in 95.65 s using an isolated environment and a native extension built from this checkout. The expanded hardware matrix covers both roles and both public schemas, including leading/trailing whitespace, paddedauto, and padded concrete SKUs. Unknown worker SKUs now fail during prediction compilation for explicit and implicit backend versions, while configured custom system paths remain supported. The public CLI returns a configuration error (exit 2) instead of a later KV-cache runtime error. Ruff, formatting, whitespace checks, and guide-YAML validation passed.3c3a4fa342e3d50717cf95ca99e83a14fd5104cc, including the complete PR diff againstmainatbe8f69749589aea5a376083436e054d75810d379. No remaining actionable finding; the hardware validation and documentation conversations are fixed and resolved.expected_sha=3c3a4fa342e3d50717cf95ca99e83a14fd5104cc: 56 successful jobs and the expected release-only wheel-staging skip. GitHub reportsAPPROVED, all four conversations are resolved, and the branch includes currentmainatbe8f6974.Modeling or data provenance
No performance formulas, profiles, or expected-value goldens change. The native replay comparison checks persistence of the evaluated configuration; it is not a silicon accuracy claim.
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