Bump adm-zip, @huggingface/transformers and onnxruntime-node

[dependabot]

Bumps adm-zip to 0.6.1 and updates ancestor dependencies adm-zip, @huggingface/transformers and onnxruntime-node. These dependencies need to be updated together.

Updates adm-zip from 0.6.0 to 0.6.1

Release notes

Sourced from adm-zip's releases.

v0.6.1

Full Changelog: cthackers/adm-zip@v0.6.0...v0.6.1

• Updated dev dependencies
• Fixed uncaught crash in async decompression on malformed DEFLATE data
• Fixed addLocalFolder following symlinks out of the archived folder
• Stripped setuid/setgid/sticky bits from extracted file permissions
• Enforced the decompression size cap on the async path and for size 0
• Rejected archives with duplicate entry names
• Blocked extraction from writing through symlinks inside the target
• Routed malformed-header parse errors through the async callback
• Rejected zip entries whose declared data extent runs past the buffer
• Fixed addLocalFolderPromise hanging on empty folders and swallowing errors
• Fixed addLocalFolderAsync2 mangling local paths on Windows

Commits

• cb2cf9b Fixed addLocalFolderAsync2 mangling local paths on Windows
• 54902b6 Fixed addLocalFolderPromise hanging on empty folders and swallowing errors
• 73131bd Fixed CI
• 758898d Rejected zip entries whose declared data extent runs past the buffer
• 74b6e9f Routed malformed-header parse errors through the async callback
• eaa35fa Blocked extraction from writing through symlinks inside the target
• 1e015e3 Increment version
• 05101d4 Rejected archives with duplicate entry names
• 4916006 Enforced the decompression size cap on the async path and for size 0
• 6a63c33 Stripped setuid/setgid/sticky bits from extracted file permissions
• Additional commits viewable in compare view

Updates @huggingface/transformers from 4.2.0 to 4.3.0

Release notes

Sourced from @​huggingface/transformers's releases.

4.3.0

🚀 Transformers.js v4.3 — Structured Output, New Models, WebGPU upgrade, Documentation Overhaul

This release adds structured output, three new model architectures, WebGPU support for Safari 26+, and a documentation overhaul. We also upgraded ONNX Runtime to the latest version.

What's new?

Structured output

Constrain generation to a JSON schema, JSON object, or regular expression with the experimental, dependency-free @huggingface/transformers-structured-output package in huggingface/transformers.js#1758.

For example, classify customer feedback into a fixed set of sentiments and topics:

import { pipeline, TextStreamer } from "@huggingface/transformers";
import { StructuredOutputProcessor } from "@huggingface/transformers-structured-output";
// Create the pipeline first so its tokenizer is available.
const generator = await pipeline(
"text-generation",
"onnx-community/LFM2.5-350M-ONNX",
{ dtype: "q4f16", device: "webgpu" },
);
const processor = new StructuredOutputProcessor(generator.tokenizer, {
type: "json_schema",
json_schema: {
type: "object",
properties: {
sentiment: { enum: ["positive", "negative", "neutral"] },
topic: { enum: ["price", "quality", "delivery", "other"] },
},
required: ["sentiment", "topic"],
additionalProperties: false,
},
});
const messages = [
{
role: "user",
content: "Classify this feedback: The product is way too expensive.",
},
];
const output = await generator(messages, {
max_new_tokens: 512,
do_sample: false,
streamer: new TextStreamer(generator.tokenizer, {
skip_prompt: true,
skip_special_tokens: true,
</tr></table>

... (truncated)

Commits

• a1728dd [version] Update to 4.3.0
• f9dec42 Bump dependencies (#1766)
• dce094e Massive documentation overhaul (#1665)
• 37fddf9 Fix RawAudio.toBlob() ignoring TypedArray byteOffset/length (#1712)
• eb5d05e Skip browser cache writes for non-http(s) resources (#1723)
• 3991b6a Create @huggingface/transformers-structured-output package (#1758)
• 6fe1ccc Pin WebGPU KV cache for ImageAudioTextToText models (Gemma3n, Gemma4) (#1757)
• f09d000 Correctly dispose Chatterbox KV cache after generation (#1737)
• 3152877 Remove unused code and exports (#1763)
• 274446c Fix Moonshine ASR token decoding (#1738)
• Additional commits viewable in compare view

Updates onnxruntime-node from 1.27.0 to 1.30.0

Release notes

Sourced from onnxruntime-node's releases.

ONNX Runtime v1.30.0

ONNX Runtime 1.30.0 expands generative AI inference, improves CPU and GPU performance, adds Go bindings, and strengthens runtime reliability. These notes cover changes since ONNX Runtime 1.29.1.

Highlights

• Expanded CUDA inference support with variable-length causal convolution for continuous batching, speculative decoding in paged XQA, and INT4 paged KV caches with per-channel scales (#32168, #32340, #32515).
• Improved WebGPU PagedAttention, added GPT-OSS support and INT8 KV-cache block quantization, and extended convolution optimizations (#31727, #32277, #32284, #32420).
• Added fused CPU LinearAttention kernels for AVX-512, Arm64 NEON, and SVE, plus AVX2 LayerNorm/RMSNorm acceleration (#31674, #31973, #32178, #32356).
• Added Go bindings for the ONNX Runtime C API and DeepSeek Engram contrib operators (#29615, #32268).

Announcements & Compatibility

• FP4 QMoE kernels are now enabled by default in CUDA builds, with Windows build support added in this release. Source builds can opt out with -Donnxruntime_USE_FP4_QMOE=OFF (#32096, #32163).
• CUDA fpA-intB builds now default to a compact kernel set for FP16 activations, INT4/INT8 weights, scale-only quantization, and block_size=32. Set -Donnxruntime_USE_FPA_INTB_GEMM_FULL=ON when building from source to retain the full kernel set, including BF16, zero-point, bias, larger-block-size, and native Hopper variants (#32324).
• CPU FP16 Gemm and MatMul execution is gated on hardware acceleration. CPU-assigned FP16 nodes without a matching kernel now fall back to FP32 (#32301, #32197).
• WebGPU plugin EP packaging now supports Linux AArch64. Plugin versions were advanced to WebGPU 0.4.0 and CUDA 0.2 (#32287, #31960, #31970).

Security & Reliability

Model Loading, Memory, and Input Validation

• Limited nested model-graph depth and canonicalized external-data locations to harden model loading (#32344, #32135).
• Added checked rounding for BFC arena allocations and fixed prepacked-weight reference lifetimes (#32010, #32040).
• Strengthened shape, rank, and parameter validation for Split, Scan, GatherND, ScatterND, SpaceToDepth/DepthToSpace, Crop, Conv, Normalizer, and pooling (#29461, #31668, #32034, #32039, #32076, #32157, #32160, #32161, #32345, #32349).
• Hardened generation and attention input handling, including attention-attribute narrowing, BifurcationDetector inputs, generation subgraph shapes, and QEmbed segment inputs. BeamSearch buffer expansion now uses dynamic shape storage (#31648, #31701, #32009, #32078, #32144).
• Validated TreeEnsemble node references and bounded subtree comparison, rejected non-finite CPU RoiAlign coordinates, and required ImageScaler bias to match the channel count (#32031, #32043, #32011, #32002).
• Added an allowlist of safe LoRA adapter parameter data types, validated MatMulFpQ4 shape inputs, and checked MLAS blockwise quantization/dequantization index ranges (#31682, #32032, #32007).

GPU Bounds and Resource Lifetimes

• Hardened CUDA indexing and buffer-size arithmetic in MatMulNBits, RemovePadding, RotaryEmbedding, SparseAttention, Whisper beam search, NMS, QDQ, and GatherElements (#31643, #31994, #31995, #31996, #31998, #32014, #32029, #32030).
• Fixed overflow in CUDA reduction scans and Softmax offset arithmetic, and handled zero-sized outputs in CUDA random-generator kernels (#32137, #32330, #31997).
• Fixed CUDA MultiHeadAttention shared-cache scratch lifetimes and kept CudaAsyncBuffer staging storage alive across CUDA graph replay (#31968, #32121).
• Fixed WebGPU out-of-bounds subgroup-matrix loads for partial tiles, zero-initialized writable device-allocator buffers, and rejected foreign GPU handles in built-in data transfers (#32364, #32063, #32317).

Dependencies and Tooling

• Upgraded Protobuf to 33.6 and refreshed Python documentation dependencies, including an ONNX security-related update (#29906, #32190, #32424).
• Updated JavaScript dependencies including js-yaml, joi, fast-uri, and the Next.js end-to-end fixture (#32397, #32486, #32488, #32505, #32508).
• Pinned GitHub Actions to full-length commit SHAs and strengthened packaging infrastructure with authenticated package feeds and NPM network isolation (#32176, #32005, #32440).

New Features

Core APIs & Runtime

• Added Go bindings for the ONNX Runtime C API (#29615).
• Extended memory importing with host-pointer support and added access to preallocated outputs through KernelContext::GetPreallocatedOutput (#29726, #32089).
• Added packed-attention workspace recipes and estimates, and made workspace input-shape handling aware of optional inputs (#32283, #32321, #32312).
• Added DeepSeek Engram contrib operators, EngramGate and NGramHashMapping, and expanded kernel coverage for Qwen-3.5 operators (#32268, #32106).

... (truncated)

Commits

• f2c39fe [CUDA] Add INT4 paged KV cache with per-channel scales (#32515)
• 5894ba8 Add portable random-access file reads to Env (#32503)
• a2ee3eb Fix CUDA plugin device discovery on WSL (#32517)
• b652e59 [WebGPU] Prepack Conv weights for the im2col-matmul path (#32420)
• 0f0f29f Get rid of spurious warning about not being able to find spectre mitigation (...
• 23dd651 Register ONNX schemas only when static registration is disabled (#32353)
• 33af5d3 Release external data loaders after graph initialization (#32502)
• 2e3c24d Clarify external initializer and EP context path interaction (#32442)
• e76036b [CUDA] Pin FP8 GEMV residency for grids just past two blocks per SM (#32433)
• 82583c5 Add session option for a BNHS GroupQueryAttention Value cache layout (#32139)
• Additional commits viewable in compare view

Maintainer changes

This version was pushed to npm by microsoft1es, a new releaser for onnxruntime-node since your current version.

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Note

Medium Risk
Touches native ONNX inference and Transformers.js used in server embedding paths; upgrades are broad (4.2→4.3, 1.27→1.30) so regressions would show up in integration tests rather than compile-time checks.

Overview
Updates the ML stack used for CLIP image embeddings: @huggingface/transformers ^4.2.0 → ^4.3.0 and onnxruntime-node ^1.15.0 → ^1.30.0 in package.json, with matching package-lock.json resolution.

The lockfile also realigns transitive versions bundled with Transformers.js 4.3 (e.g. @huggingface/tokenizers 0.2.0, pinned onnxruntime-node/onnxruntime-web, sharp ^0.35.4, adm-zip ^0.6.0) and drops the older nested ONNX dependency tree from 4.2.0. No application source changes—only dependency manifests.

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