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feat(server): support runtime LoRA for native decision models - #829
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| Layer / File(s) | Summary |
|---|---|
Detached runtime and entity LoRA migration packages/sie_server/src/sie_server/adapters/_peft_lora_runtime.py, packages/sie_server/src/sie_server/adapters/gliner2/_lora.py, packages/sie_server/tests/adapters/test_gliner2_lora.py |
DetachedLoraRuntime validates and manages adapter snapshots through their lifecycle. GLiNER2 entity LoRA uses this runtime. Tests cover cached loading through the shared source resolver. |
Shared checkpoint resolution packages/sie_server/src/sie_server/adapters/_checkpoint.py, packages/sie_server/src/sie_server/adapters/{gliner2/decide.py,laya/adapter.py,pplx_decider/adapter.py}, packages/sie_server/tests/adapters/test_decision_checkpoint.py, packages/sie_server/tests/adapters/test_laya.py |
resolve_checkpoint returns existing local directories or resolves other model paths through the configured Hub cache and revision policy. GLiNER2, Laya, and PPLX use the helper. Tests cover local paths, cached revisions, offline behavior, and download parameters. |
Decision adapter orchestration and model targets packages/sie_server/src/sie_server/adapters/decision_lora/adapter.py, packages/sie_server/src/sie_server/adapters/{gliner2/decide_lora.py,gliclass/runtime_lora.py,laya/runtime_lora.py,pplx_decider/runtime_lora.py}, packages/sie_server/bundles/*.yaml, packages/sie_server/tests/adapters/test_decision_lora_bundles.py |
DecisionLoraAdapter coordinates LoRA selection and adapted extraction. Model-specific adapters define supported targets, load options, and request validation. Bundle declarations register the profiles, and tests check routing and bundle support. |
Adapter lifecycle and inference tests packages/sie_server/tests/adapters/test_decision_lora.py, packages/sie_server/tests/adapters/test_decision_lora_gliclass.py, packages/sie_server/tests/adapters/test_decision_lora_perplexity.py, packages/sie_server/tests/adapters/test_decision_lora_http.py |
Tests cover adapter outputs, concurrent selections, loading and unloading, base restoration, validation, HTTP behavior, and asynchronous loading. |
LRU updates after worker selection packages/sie_server/src/sie_server/core/registry.py, packages/sie_server/src/sie_server/core/worker/model_worker.py, packages/sie_server/src/sie_server/core/worker/oom_recovery.py, packages/sie_server/tests/core/test_runtime_lora.py, packages/sie_server/tests/core/test_worker_lora.py, packages/sie_server/tests/adapters/test_cross_encoder_lora.py |
The registry updates a ready LoRA’s LRU order after a worker selects it. Tests cover both worker dispatch paths and the resulting eviction order. |
Sequence Diagram(s)
sequenceDiagram
participant DecisionLoraAdapter
participant DetachedLoraRuntime
participant NativeModel
DecisionLoraAdapter->>DetachedLoraRuntime: Select declared LoRA
DecisionLoraAdapter->>NativeModel: Run adapted extraction
DecisionLoraAdapter->>DetachedLoraRuntime: Deselect LoRA after extraction
Possibly related PRs
- superlinked/sie#795: The exported Laya LoRA artifacts and this PR’s server-side loading targets are connected.
- superlinked/sie#847: The Laya LoRA training output and this PR’s runtime target policy address the same model workflow.
Suggested reviewers: fm1320
Priority:
Merge Risk: 
fc3f4
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This change adds opt-in runtime LoRA support for the native decision models and updates the LRU order after worker selection. No concrete merge-blocking defect remains in the supplied review. Real-GPU qualification and fresh CI, which the author already tracks, should finish before the draft is merged.
Pre-merge checks: 
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Check name Status Explanation Resolution Docstring Coverage Docstring coverage is 26.24% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 263 functions across 60 files. (2 skipped… Write docstrings for the functions missing them to satisfy the coverage threshold. -
Check name Status Explanation Description Check Check skipped - CodeRabbit’s high-level summary is enabled. Title check The title clearly and concisely describes the main change: adding runtime LoRA support for native decision models. Linked Issues check Check skipped because no linked issues were found for this pull request. Out of Scope Changes check Check skipped because no linked issues were found for this pull request.
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Docstring coverage is 26.24% which is insufficient. The required threshold is 80.00%. Docstring coverage is scoped to functions touched by this diff. Analyzed 263 functions across 60 files. (2 skipped: 2 unsupported.)
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Write docstrings for the functions missing them to satisfy the coverage threshold.
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@coderabbitai full review Please review the completed integration at 7a55556. Local validation and independent reviews are recorded in the PR body. This remains a draft until the separately bounded real-checkpoint GPU qualification completes. |
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@coderabbitai review The only change since the approved production snapshot 7a55556 is a correction to an endpoint test that expected a consumed legacy alias to remain in worker options. Eight adjacent routing tests pass. Please review the current 5e8ff11 head; production source is unchanged. |
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The merge-base changed after approval.
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@coderabbitai full review Please review the remaining decision-runtime diff at exact head |
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Actionable comments posted: 2
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Inline comments:
Review comments at @packages/sie_gateway/src/handlers/decisions.rs:
- Line 312: Update the validation handling around lora::selectors so it returns
both the offending selector field and its message, then pass that field to
invalid instead of always using "lora_adapter". Ensure requests such as "lora":
false without lora_adapter report "lora" as error.param.
Review comments at @packages/sie_server/src/sie_server/core/runtime_options.py:
- Line 126: Update merge_runtime_options_with_profile so profile runtime
defaults do not pass through request-selector agreement validation via
split_lora_selection. Resolve profile defaults using profile-specific
precedence: prefer lora, otherwise lora_id, and resolve aliases to their
declared source before determining the selected adapter; only reject defaults
that cannot resolve to a single adapter, while preserving request-selector
validation behavior.
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📒 Files selected for processing: 56
packages/sie_gateway/src/handlers/decisions.rspackages/sie_gateway/src/handlers/lora.rspackages/sie_gateway/src/handlers/mod.rspackages/sie_gateway/src/handlers/proxy.rspackages/sie_gateway/src/handlers/systemone.rspackages/sie_sdk/src/sie_sdk/cache.pypackages/sie_sdk/src/sie_sdk/client/_lora.pypackages/sie_sdk/src/sie_sdk/client/_shared.pypackages/sie_sdk/src/sie_sdk/client/async_.pypackages/sie_sdk/src/sie_sdk/client/sync.pypackages/sie_sdk/tests/test_cache.pypackages/sie_sdk/tests/test_lora_aliases.pypackages/sie_server/bundles/default.yamlpackages/sie_server/bundles/transformers5.yamlpackages/sie_server/openapi.jsonpackages/sie_server/src/sie_server/adapters/_lora_source.pypackages/sie_server/src/sie_server/adapters/_peft_lora_runtime.pypackages/sie_server/src/sie_server/adapters/cross_encoder/_lora.pypackages/sie_server/src/sie_server/adapters/decision_lora/__init__.pypackages/sie_server/src/sie_server/adapters/decision_lora/adapter.pypackages/sie_server/src/sie_server/adapters/gliclass/runtime_lora.pypackages/sie_server/src/sie_server/adapters/gliner2/_lora.pypackages/sie_server/src/sie_server/adapters/gliner2/decide_lora.pypackages/sie_server/src/sie_server/adapters/laya/runtime_lora.pypackages/sie_server/src/sie_server/adapters/peft_lora_mixin.pypackages/sie_server/src/sie_server/adapters/pplx_decider/runtime_lora.pypackages/sie_server/src/sie_server/adapters/sglang/_lora.pypackages/sie_server/src/sie_server/api/decisions.pypackages/sie_server/src/sie_server/api/encode.pypackages/sie_server/src/sie_server/api/helpers.pypackages/sie_server/src/sie_server/api/openai_compat.pypackages/sie_server/src/sie_server/api/options.pypackages/sie_server/src/sie_server/api/systemone.pypackages/sie_server/src/sie_server/core/runtime_options.pypackages/sie_server/src/sie_server/types/lora.pypackages/sie_server/tests/adapters/test_cross_encoder_lora.pypackages/sie_server/tests/adapters/test_decision_lora.pypackages/sie_server/tests/adapters/test_decision_lora_bundles.pypackages/sie_server/tests/adapters/test_decision_lora_gliclass.pypackages/sie_server/tests/adapters/test_decision_lora_http.pypackages/sie_server/tests/adapters/test_decision_lora_perplexity.pypackages/sie_server/tests/adapters/test_gliner2_lora.pypackages/sie_server/tests/adapters/test_lora.pypackages/sie_server/tests/adapters/test_lora_source.pypackages/sie_server/tests/adapters/test_sglang_lora.pypackages/sie_server/tests/api/test_decisions.pypackages/sie_server/tests/api/test_encode_endpoint.pypackages/sie_server/tests/api/test_gliner2_entity_lora.pypackages/sie_server/tests/api/test_lora_aliases.pypackages/sie_server/tests/core/test_lora_selection.pypackages/sie_server/tests/core/test_runtime_options.pypackages/sie_server/tests/test_queue_executor.pypackages/sie_ts_sdk/src/client.tspackages/sie_ts_sdk/src/lora.tspackages/sie_ts_sdk/src/types.tspackages/sie_ts_sdk/tests/lora.test.ts
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Merged #837 into this PR at 37cba87. Both requested corrections are present: profile alias/source defaults resolve within the selected profile, and gateway error metadata identifies the offending selector field. The follow-up also rejects defaults or explicit selections that rely solely on a sibling profile's source declaration. The seven correction files and two CLI cache-policy files match reviewed main exactly. The combined source passes 34 focused decision lifecycle/HTTP cases and 79 Decisions API cases; two Transformers 5 module collections are skipped in this local environment. Fresh full CI is running. Real-checkpoint GPU qualification remains outstanding, so this PR stays draft. @coderabbitai full review |
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@coderabbitai full review Current candidate d0b8285 merges main b77cb3e without conflicts. All 16 feature files are unchanged from the approved revision 37cba87. Please review this integrated head. Real GPU qualification is authorized and will be recorded before the draft is marked ready. |
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@coderabbitai full review The final source is now 4e8d7ba. Real H100 qualification found a pinned-checkpoint offline lookup problem before inference. The six-file follow-up adds a shared load-time resolver for Decide/Laya/Perplexity that preserves local paths, revision and file filters while honoring configured SIE cache/fallback and HF offline policy. Inference paths and LoRA numerical gates are unchanged. 199 affected CPU tests pass, plus actual Hub 1.33 socket-denied resolver checks and wheel inclusion verification. Please review the final implementation and offline-cache behavior. GPU qualification and fresh CI remain pending; the earlier revision's green checks are not treated as this revision's checks. |
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@coderabbitai full review Please review current head fc3f4f4, including the warm-request LoRA LRU fix discovered by real H100 testing. The ready-only registry callback is alias-aware, checks adapter identity and lifecycle state, and is bypassed by base and failed selections. Four true red/green decision/reranker regressions and the 199-test focused suite pass. The PR remains draft pending unchanged real-GPU qualification and fresh checks. |
✅ Action performed
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Native decision profiles cannot currently load declared LoRA adapters at runtime. This adds explicit opt-in classes for Laya, GLiNER2 Decide, Perplexity Decider and GLiClass using the shared entity-adapter lifecycle. Ordinary profiles retain their inference paths. LoRA-enabled profiles have selection and synchronization overhead even when selecting the base model.
Adapters load on demand under the resident-capacity/LRU policy. Concurrent selections are isolated, base parameters and flags are restored after use, and unsafe rollback fails closed. Adapted requests run eagerly while existing base CUDA graphs remain available. Typed Laya, Decide and Perplexity profiles support native, SystemOne and Decisions routes; GLiClass retains its classification-only contract.
Loading requires a declared source and a compatible complete PEFT safetensors export. Unsupported exporter features and targets fail before attachment. The shared resolver supports local and cluster copies with Hub fallback disabled, including recovery from partial local copies. Complete supported Decide exports retain and validate classifier/span projections.
Real H100 testing also exposed a native checkpoint-loading bug: Hub 1.33 can attempt a remote tree lookup for an exact cached revision despite HF offline mode. The Decide, Laya and Perplexity loaders now resolve snapshots from the configured SIE cache and explicitly disable remote lookup when HF offline mode is set or SIE Hub fallback is disabled. The local-path shortcut, exact revision and file filters are preserved. This changes checkpoint loading only.
Real H100 testing also exposed a shared eviction bug: warm native extract and score requests did not update LoRA recency, so loading a third adapter could evict one just used. Successful worker selection now updates the current ready resident through the existing registry callback interface. The callback resolves aliases, checks adapter identity and lifecycle state, and performs no fetch, await or attachment. Base and failed selections bypass the callback.
The latest revision, fc3f4f4, passes all 47 CI checks and has CodeRabbit approval with no unresolved review threads. Targeted validation passes 199 decision, reranker, registry, worker-LoRA and score tests, lint/format and focused type checking. Four regressions fail on the previous source and pass with the fix: queued and preformed Laya workers plus served BERT and XLM-R rerankers. The offline checkpoint helper was also exercised against actual Hub 1.33 with sockets forbidden and verified in the built wheel. An independent adversarial review found no blocking issues in source admission, tensor validation, concurrent selection or rollback safety.
Real H100 qualification now passes for all four families at this exact source revision. Independent review checked 131 qualifying HTTP cases (114 successes and 17 expected cold-loading responses), 17 ordinary native PEFT reference cases, and 228 returned items across the completed family runs. Maximum absolute numeric payload difference is 0.0 in every family; output structure and choices also match. The tests cover distinct A/B adapter effects, concurrent selections, capacity-two eviction/reload, exact repeated-base restoration, and prepared/attached/native-reference tensor hashes. The trained Decide export covers 304 tensors and 152 targets.
Decide, Laya and GLiClass retained their original base graph owners, captured/replayed graphs, avoided graphs while adapted, and replayed the original graphs after restoration. Perplexity remains eager. The ordinary non-LoRA inference classes are separate; no throughput or task-quality claim is made from these instrumented functional tests.
The four pinned checkpoints were:
fastino/GLiNER2.5-Decide@7ee5da4c2415e32259bcdc0b1a7367c32ce8d6f6convaiinnovations/laya-typed-decisions@bc76315b568af04bc19f133c8bca9a2b3a2d9905knowledgator/gliclass-large-v1.0@ae8a18644e84cfda53325bd91c7941f2f6fd0ccbperplexity-ai/pplx-decider-v1.1-27b@14c9d90137962d300f3de95633f7b6535e80c5ceThe environment used H100 80 GB, Torch 2.9.1+cu129 and PEFT 0.19.1; Laya/GLiClass consumed Transformers 4.57.6, while Decide/Perplexity consumed Transformers 5.17.0. Ready/shutdown import hashes were checked against the source archive, and staged checkpoint bytes were checked against their pinned public hashes.
A retained earlier Perplexity attempt timed out at 30 seconds on its first base inference. The prospectively reviewed follow-up allowed only that first call up to 240 seconds, retaining 30 seconds for later calls and all original numerical/lifecycle gates. It completed in 29.6426 seconds; subsequent base requests were about 0.108 seconds. This shows substantial cold-first-forward cost without identifying its exact upstream cause. Earlier failed runs remain failed; the completed Decide/Laya/GLiClass and Perplexity proofs are recorded separately. Every owned GPU app is stopped with zero containers/tasks and its local controllers reaped.