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feat: unify speculative decoding cost configuration - #482
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Signed-off-by: Harry Lee <harrli@nvidia.com>
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Review comments at @crates/core/src/perfmodel/py.rs:
- Around line 1599-1619: Update `resolve_speculation_identity` to preserve
checkpoint-loading availability failures as the appropriate availability error
while continuing to map configuration-validation failures to
`InvalidEngineConfig`. Classify only recognized checkpoint availability
failures; do not treat all `ImportError` or Python exceptions as availability
errors.
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🪛 ast-grep (0.45.3)
python/aisimulate/tests/unit/sdk/speculation/test_cost_config_resolution.py
[info] 49-49: use jsonify instead of json.dumps for JSON output
Context: json.dumps(asdict(resolved))
Note: [CWE-116] Improper Encoding or Escaping of Output.
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[info] 101-101: use jsonify instead of json.dumps for JSON output
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Note: [CWE-116] Improper Encoding or Escaping of Output.
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[info] 114-114: use jsonify instead of json.dumps for JSON output
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Note: [CWE-116] Improper Encoding or Escaping of Output.
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python/aisimulate/tests/unit/sdk/test_forward_pass_speculation.py
[info] 158-158: use jsonify instead of json.dumps for JSON output
Context: json.dumps(resolved)
Note: [CWE-116] Improper Encoding or Escaping of Output.
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[info] 183-183: use jsonify instead of json.dumps for JSON output
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[info] 203-203: use jsonify instead of json.dumps for JSON output
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[info] 319-319: use jsonify instead of json.dumps for JSON output
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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
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lib/bindings/python/rust/llm/ais_callback.rs:141-145calls the removedForwardPassSpeculationConfig::num_speculative_tokens()method. Dynamo pinsaisimulate-core = "=0.13.0-dev.2"inCargo.toml:61-62; updating to this PR requires a coordinated Rust consumer migration. [::ai-dynamo/dynamo::] -
components/src/dynamo/router/simulation/provider.py:178-184only forwardskindand a top-levelnum_speculative_tokens, dropping arbitraryparams,draft_model_path, anddraft_config. It also indexesspeculation["num_speculative_tokens"], so generalized configurations without that legacy field are incompatible with this adapter. [::ai-dynamo/dynamo::] -
components/src/dynamo/planner/core/perf_model/ais_adapter.py:266-272assumes every speculation configuration hasparams.num_speculative_tokens; generic scheme-specific parameter sets need an adapter update or will fail during capability reconciliation. [::ai-dynamo/dynamo::] -
lib/bindings/python/src/dynamo/_internal/ais.py:134-140derives_nextnfrom speculation only whenkind == "ngram". Its decode path uses_nextn + 1for batch sizing (:180-190), so non-ngram configurations supplied only through the new generalizedspeculationfield will not receive this downstream widening unlessnextnis also populated. [::ai-dynamo/dynamo::]
ai-dynamo/aiconfigurator
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The frozen runtime contract explicitly rejects positive
nextnforforward_model="fpm"inaic-core/rust/aiconfigurator-core/src/engine/runtime.rs:334-374. This agrees with the PR’s stated limitation that speculative FPM candidates remain unsupported; OP/SOL paths must preserve that restriction. [::ai-dynamo/aiconfigurator::] -
The legacy adapter still requires
nextn_acceptedwhenever speculation is enabled and bounds it bynextninsrc/aiconfigurator/sdk/config_adapter/schema.py:27-44. The new generic identity-resolution path should not inadvertently route legacynextninputs through a schema that omits these acceptance requirements. [::ai-dynamo/aiconfigurator::]
🔇 Additional comments: 12
crates/core/src/perfmodel/fpm/config.rs: 2
267-278: The non-Python build accepts genericnonewith parameters only becausevalidate()runs first. It does not reject non-ngram kinds before resolving.Without the
pythonfeature,resolve_with_registrationaccepts onlyngramandnone. That is consistent with the intent. With thepythonfeature, the resolved speculation from Python replaces the validated value.validate()runs again at line 337, so the resolved value is re-checked. No defect found.
808-810: LGTM!python/aisimulate/src/aisimulate_core/sdk/speculation/base.py: 1
76-122: LGTM!python/aisimulate/tests/unit/sdk/speculation/test_cost_config_resolution.py: 1
1-176: LGTM!crates/tests/public-api/Cargo.toml: 1
14-16: LGTM!crates/tests/public-api/src/lib.rs: 1
121-122: LGTM!Also applies to: 233-307
docs/perf-model/configuration.md: 1
90-165: LGTM!crates/core/src/perfmodel/fpm/model.rs: 1
445-462: LGTM!crates/core/src/python.rs: 1
399-402: LGTM!Also applies to: 415-415, 3932-3962
python/aisimulate/src/aisimulate_core/sdk/models/__init__.py: 1
276-281: LGTM!python/aisimulate/tests/unit/sdk/test_forward_pass_speculation.py: 1
1-354: LGTM!tests/test_ngram_cli.py: 1
184-184: LGTM!Also applies to: 196-196
Signed-off-by: Harry Lee <harrli@nvidia.com>
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- 🪄 Fix comments: Fix CodeRabbit comments on this PR
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Inline comments:
Review comments at @scripts/performance/build_simulation_dynamo.py:
- Around line 37-40: Update the speculation-kind validation so a valid "none"
configuration is accepted and treated as zero speculative depth before replay
proceeds; continue accepting "ngram" and rejecting unsupported replay schemes.
Make this change in the branch checking spec["kind"].
Review comments at @tests/test_ci_workflow_contracts.py:
- Around line 3488-3495: Extend the test around patch_speculation_depth to
exercise the callback in the patched artifact rather than only asserting
replacement bytes. Cover legacy nextn, valid n-gram depths at their boundaries,
disabled speculation, and rejection of unsupported kinds; keep these behavioral
checks separate from the existing source-hash and anchor checks.
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🪛 ast-grep (0.45.3)
scripts/performance/build_simulation_dynamo.py
[info] 319-331: use jsonify instead of json.dumps for JSON output
Context: json.dumps(
{
"source_sha": revision,
"aisimulate_sha": subprocess.check_output(
["git", "-C", str(source), "rev-parse", "HEAD"], text=True
).strip(),
"features": ["ais-forward-pass"],
"handoff_compatibility": handoff_compatibility,
"literal_compatibility": literal_compatibility,
"speculation_compatibility": speculation_compatibility,
},
indent=2,
)
Note: [CWE-116] Improper Encoding or Escaping of Output.
(use-jsonify)
🔀 Multi-repo context ai-dynamo/dynamo, ai-dynamo/aiconfigurator
ai-dynamo/dynamo
lib/bindings/python/rust/llm/ais_callback.rs:141-145calls the removedForwardPassSpeculationConfig::num_speculative_tokens()method, requiring a coordinated consumer migration. [::ai-dynamo/dynamo::]components/src/dynamo/router/simulation/provider.py:178-184forwards only legacykindandnum_speculative_tokens, dropping generalizedparams,draft_model_path, anddraft_config. [::ai-dynamo/dynamo::]components/src/dynamo/planner/core/perf_model/ais_adapter.py:266-272assumesparams.num_speculative_tokens, so non-ngram schemes cannot pass capability reconciliation unchanged. [::ai-dynamo/dynamo::]lib/bindings/python/src/dynamo/_internal/ais.py:134-140derives_nextnonly forkind == "ngram"; generic speculation configurations will not widen downstream decode batches unless legacynextnis also set. [::ai-dynamo/dynamo::]
ai-dynamo/aiconfigurator
aic-core/rust/aiconfigurator-core/src/engine/runtime.rs:334-374rejects positivenextnwithforward_model="fpm", matching the PR’s limitation that speculative FPM candidates remain unsupported. [::ai-dynamo/aiconfigurator::]src/aiconfigurator/sdk/config_adapter/schema.py:27-44still requiresnextn_acceptedand bounds it bynextnfor enabled speculation. Generic identity resolution must not route legacynextninputs through an incompatible schema path. [::ai-dynamo/aiconfigurator::]
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Reviewed c985cad. No new blocking findings in configuration validation, estimator selection/fallback, saved speculative identities, or Ngram/legacy nextn compatibility.
Independent validation: 412 SDK tests, 500 CLI/replay tests, 16 public Rust API tests, 6 adapter contract tests, and 8 tests executing the exact inserted adapter conversion passed. An additional 51 checks covered OP/SOL parity, fallback, and fresh-process reload for the speculative configurations. All 390 frozen-parity cases have passing evidence across runs; 10 reordered cases initially hit an unchanged temporary data-root leak and passed in a clean process.
The existing checkpoint error-classification and explicit-none adapter comments are nonblocking for this cost-API change. Validation establishes compatibility and parity with existing implementations, not new GPU serving-accuracy claims.
Signed-off-by: Harry Lee <harrli@nvidia.com>
Signed-off-by: Harry Lee <harrli@nvidia.com>
Why and what changed
The canonical forward-pass estimator accepted only Ngram speculation, although the SDK already supported multiple speculative schemes. Generalize
ForwardPassSpeculationConfigtokind,params, and optional draft checkpoint identity so callers can use the existingbest_available()and timing methods for supported OP/SOL configurations.Validate scheme parameters before estimator fallback, retain resolved draft content in saved configuration/provenance, and preserve Ngram JSON and legacy
nextnbehavior. Generic configurations use existing SDK algorithms and cost formulas. FPM SD candidates remain unsupported; an explicitly allowed fallback may select OP while retaining the complete SD configuration. FPM-only selectors cannot be silently discarded. Replay/AgentX support remains unchanged. The pinned Dynamo benchmark adapter reads the shared serialized Ngram identity across the Rust enum-to-struct migration, retaining legacynextn, accepting disabled speculation, and rejecting other replay schemes. Recognized draft-checkpoint download failures retain their availability classification; invalid configuration remains fatal before estimator selection.Review map
crates/core/src/perfmodel/fpm/config.rsand the SDK'sresolve_speculation_config; then review candidate selection and the explicit replay guard.draft_model_path/draft_config. The migration and existing packed-telemetry/static-query conventions are documented.nextnretains its existing behavior. Standalone draft models still require their source checkpoint configuration. Reverting this PR restores the Ngram-only canonical schema.Evidence
Current head:
684a59c934b2661e4501a79f58dcd25f58c436f5, integrated with maina1e1b3bd1.11396b4ba35477153a246216a791ec0b41663f3a: 412 SDK tests, 500 replay/runner tests, 390 frozen parity cases, 2,126 default Rust tests, 2,203 embedded-Python Rust tests (1 ignored), and 16 public API tests passed. Estimator formulas and frozen goldens remain unchanged.Modeling or data provenance
No estimator formulas or profile data changed. This PR adds configuration plumbing and capability checks; it makes no new serving-accuracy claim.
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