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Fail closed on lossy GGUF quantization preservation - #609

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justinchuby merged 8 commits into
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justinchuby-fix-gguf-q4-parity
Aug 25, 2026
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Fail closed on lossy GGUF quantization preservation#609
justinchuby merged 8 commits into
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justinchuby-fix-gguf-q4-parity

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Summary

Fixes the preserved Q4_K_M/MatMulNBits correctness divergence exposed by #607.

Q4_K_M is a model-level mixed preset, not a GGML tensor type. The pinned SmolLM artifact contains Q5_0=166, Q4_K=16, Q8_0=15, Q6_K=14, and F32=61 tensors. Mobius correctly decoded Q4_K's 144-byte/256-value layout, six-bit scale/min fields, nibble order, orientation, and signed minimum subtraction, and ORT correctly consumed the emitted affine packing. The divergence came earlier: the importer normalized the mixed Q5/Q4_K/Q6/Q8 source tensors into one four-bit MatMulNBits contract, adding a second lossy quantization.

This change:

  • records which affine repacks preserve dequantized values and rejects lossy or incompatible routes under keep_quantized=True;
  • fails closed for unsupported projections, mixed float projections, embeddings/heads, multimodal builders, MTP sidecars/native blocks, and packed fused expert gate/up tensors;
  • retains explicit keep_quantized=False / --dequantize as the opt-in float route;
  • adds independent asymmetric Q4_K and ORT MatMulNBits value tests plus real SmolLM2 Q4_K_M prefill/decode/generation coverage.

Root-cause evidence

The first divergence is already present in layer 0 before ORT execution:

Tensor role Source qtype Relative L2 error after normalization
Q projection Q5_0 0.09408
K projection Q5_0 0.09410
V projection Q8_0 -> Q4 0.08793
FFN down Q6_K -> Q4 0.08310

The Q4_K formula is value = d * sub_scale * q - dmin * sub_min. Although Q4_K itself can be represented by four-bit MatMulNBits with floating zero points, the full Q4_K_M mixture cannot be represented losslessly by one four-bit graph contract. ORT 1.29 also advertises 8-bit MatMulNBits in schema but the tested CPU unpacked path rejects it with Only 2b and 4b quantization is supported for unpacked compute for now.

Validation

  • Final focused GGUF/quantization/MatMulNBits suite: 745 passed
  • Real pinned SmolLM2 Q4_K_M test: 1 passed
    • default API and CLI preservation reject before producing a model;
    • explicit dequantization builds, saves, reloads, and runs;
    • full prefill and ten cached-decode logits match the same-artifact Transformers GGUF reference;
    • maximum prefill absolute difference: 9.0599e-05;
    • ten greedy tokens match exactly: 198, 198, 18, 504, 2388, 13685, 284, 5208, 28, 198.
  • Earlier broad run: 7058 passed, 52 skipped; the two remaining glm_moe_dsa shape/checker failures reproduce on the base and are unrelated.
  • Changed-file Ruff check and format check pass.
  • Two independent final review passes completed; all findings were addressed and the final MoE fix was re-reviewed with no findings.

Verdict

This is an importer preservation-policy bug, not an ORT Q4 packing bug. Preservation now succeeds only for value-equivalent routes and otherwise fails closed rather than emitting wrong logits.

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🏗️ Architecture Diff

Comparing 04c664162583ae

Model Sub-model Changes Status

No architecture changes detected.


Legend: ⚪ No change · 🔵 Minor (attrs/inits) · 🟡 Moderate (nodes added/removed) · 🔴 Major (interface changed)

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Performance Comparison

Comparing 04c664162583ae

Model Metric Baseline Current Delta
bert (feature-extraction) model_size_bytes 359 KB 359 KB +0.0%
bert (feature-extraction) num_nodes 68 68 +0.0%
falcon model_size_bytes 364 KB 364 KB +0.0%
falcon num_nodes 66 66 +0.0%
gemma2 model_size_bytes 428 KB 428 KB +0.0%
gemma2 num_nodes 105 105 +0.0%
gpt2 model_size_bytes 388 KB 388 KB +0.0%
gpt2 num_nodes 54 54 +0.0%
llama model_size_bytes 425 KB 425 KB +0.0%
llama num_nodes 60 60 +0.0%
llama (static-cache) model_size_bytes 425 KB 425 KB +0.0%
llama (static-cache) num_nodes 56 56 +0.0%
mamba (ssm-text-generation) model_size_bytes 296 KB 296 KB +0.0%
mamba (ssm-text-generation) num_nodes 94 94 +0.0%
phi3 model_size_bytes 421 KB 421 KB +0.0%
phi3 num_nodes 58 58 +0.0%
phi3 (static-cache) model_size_bytes 421 KB 421 KB +0.0%
phi3 (static-cache) num_nodes 54 54 +0.0%
qwen2 model_size_bytes 425 KB 425 KB +0.0%
qwen2 num_nodes 60 60 +0.0%
qwen2 (static-cache) model_size_bytes 425 KB 425 KB +0.0%
qwen2 (static-cache) num_nodes 56 56 +0.0%
qwen3_5_moe (hybrid-text-generation) model_size_bytes 506 KB 506 KB +0.0%
qwen3_5_moe (hybrid-text-generation) num_nodes 265 265 +0.0%
qwen3_5_text (hybrid-text-generation) model_size_bytes 458 KB 458 KB +0.0%
qwen3_5_text (hybrid-text-generation) num_nodes 127 127 +0.0%
qwen3_5_vl (hybrid-qwen-vl) model_size_bytes 977 KB 977 KB +0.0%
qwen3_5_vl (hybrid-qwen-vl) num_nodes 429 429 +0.0%
t5 (seq2seq) model_size_bytes 836 KB 836 KB +0.0%
t5 (seq2seq) num_nodes 176 176 +0.0%
whisper (speech-to-text) model_size_bytes 1008 KB 1008 KB +0.0%
whisper (speech-to-text) num_nodes 128 128 +0.0%

No performance regressions.

@justinchuby
justinchuby force-pushed the justinchuby-fix-gguf-q4-parity branch from 0806902 to d673f9d Compare August 25, 2026 03:12
@justinchuby
justinchuby changed the base branch from justinchuby-validate-small-gguf-models to justinchuby-materialize-gguf-tokenizers August 25, 2026 03:12
@justinchuby
justinchuby force-pushed the justinchuby-materialize-gguf-tokenizers branch from 654abfc to 0e791a5 Compare August 25, 2026 18:31
Base automatically changed from justinchuby-materialize-gguf-tokenizers to main August 25, 2026 18:32
@justinchuby
justinchuby requested a review from a team August 25, 2026 18:32
justinchuby and others added 8 commits August 25, 2026 12:09
Distinguish lossless affine/native preservation from mixed GGUF presets that require value-changing requantization. Reject unsupported projection, embedding, head, multimodal, MTP, and fused-expert routes instead of emitting incorrect MatMulNBits graphs, while retaining explicit float import as the opt-in fallback.

Add asymmetric Q4_K and MatMulNBits contract tests plus real SmolLM2 Q4_K_M prefill, decode, generation, save/reload, API, and CLI coverage.

Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com>
Signed-off-by: Justin Chu <justinchuby@users.noreply.github.com>
Populate the pinned tokenizer provenance required by the materialized-tokenizer base for the SmolLM2 Q4_K_M runtime case.

Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com>
Signed-off-by: Justin Chu <justinchuby@users.noreply.github.com>
Keep exact fused projection repacks byte-preserving, exempt explicitly float graph roles from packed-contract preflight, and strengthen Q4 runtime provenance coverage after the latest GGUF importer additions.

Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com>
Signed-off-by: Justin Chu <justinchuby@users.noreply.github.com>
Pin the exact float and Q4 dequantized import-route fingerprints produced on the MiniMax-updated GGUF registry.

Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com>
Signed-off-by: Justin Chu <justinchuby@users.noreply.github.com>
Use the same explicit float-role classification during packed-target detection so encoder embeddings and Jamba recurrent projections cannot force exact affine projections onto an incompatible target.

Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com>
Signed-off-by: Justin Chu <justinchuby@users.noreply.github.com>
Exclude encoder position tables, norms, and Jamba convolutional state weights from packed-target selection so only actual quantized graph roles constrain MatMulNBits.

Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com>
Signed-off-by: Justin Chu <justinchuby@users.noreply.github.com>
Kimi Linear's rank-3 MLA projections require reshape and requantization, which changes their dequantized values. Cover the preservation-mode rejection and retain explicit float import as the safe fallback.

Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com>
Signed-off-by: Justin Chu <justinchuby@users.noreply.github.com>
Kimi Linear reshapes its rank-3 MLA projections through dequantized values. Reject every quantized source format in preservation mode, including otherwise exact Q4_0 routes, and require the explicit float fallback.

Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com>
Signed-off-by: Justin Chu <justinchuby@users.noreply.github.com>
Copilot AI lite review requested due to automatic review settings August 25, 2026 19:20
@justinchuby
justinchuby force-pushed the justinchuby-fix-gguf-q4-parity branch from d673f9d to 62583ae Compare August 25, 2026 19:20
@justinchuby
justinchuby merged commit aa93ab6 into main Aug 25, 2026
16 of 23 checks passed
@justinchuby
justinchuby deleted the justinchuby-fix-gguf-q4-parity branch August 25, 2026 19:22

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Pull request overview

This PR tightens Mobius’s GGUF quantization-preservation policy to fail closed when preserving quantized weights would require lossy dequantize/requantize, addressing correctness divergence for mixed presets like Q4_K_M. It also expands test coverage (unit + real-artifact integration) and updates user-facing docs to reflect the new preservation semantics.

Changes:

  • Introduce “value-preserving vs lossy” preservation semantics (e.g., lossless affine repacks) and reject lossy preservation routes under keep_quantized=True.
  • Extend preservation gating across builders (text, multimodal, MTP, native blocks, fused tensors) and improve rejection diagnostics.
  • Add targeted correctness tests (Q4_K dequant, MatMulNBits value checks, pinned real-artifact integration) and update documentation to match the new behavior.

Reviewed changes

Copilot reviewed 15 out of 15 changed files in this pull request and generated 1 comment.

Show a summary per file
File Description
tests/gguf_small_model_runtime_integration_test.py Adds a pinned SmolLM2 Q4_K_M integration test validating fail-closed preservation and parity under explicit dequantization.
tests/gguf_dense_cohort_integration_test.py Simplifies cohort integration to assert fail-closed behavior for incompatible dense GGUF artifacts.
src/mobius/integrations/gguf/_spec.py Adds a lossless flag to affine repack specs and a preserves_values helper for policy decisions.
src/mobius/integrations/gguf/_repacker_test.py Adds a focused Q4_K dequantization/value test to validate layout semantics.
src/mobius/integrations/gguf/_quant_registry.py Marks which affine targets are lossless, refines lm-head preservation classification, and exposes lossless-preservation type names.
src/mobius/integrations/gguf/_quant_registry_test.py Updates expectations for lm-head preservation and adds tests for lossless-preservation advertisement.
src/mobius/integrations/gguf/_mtp_test.py Adjusts MTP tests to require explicit dequantization when preservation would be lossy/incompatible.
src/mobius/integrations/gguf/_mmproj.py Adds fail-closed checks for mixed float/quant projections and packed tensors in multimodal quantized imports.
src/mobius/integrations/gguf/_mmproj_test.py Adds tests covering float-projection fail-closed behavior and packed per-layer table rejection.
src/mobius/integrations/gguf/_builder.py Centralizes preservation rejection logic, improves quant param detection, and enforces lossless-only preservation in quantized state loading.
src/mobius/integrations/gguf/_builder_test.py Updates/extends unit tests to assert fail-closed behavior across mixed qtypes, native blocks, embeddings/heads, fused tensors, and hybrid routes.
src/mobius/functions/matmul_nbits_test.py Adds an accuracy_level=4 test to validate ORT’s MatMulNBits consumption of Mobius packed weights/zero-points.
docs/model-catalog.md Updates GGUF preservation description to explicitly state fail-closed on lossy routes.
docs/cli_reference.md Updates CLI docs to describe fail-closed behavior and direct users to --dequantize for explicit float conversion.
docs/api/build_from_gguf.md Updates API docs to reflect rejection of lossy projection preservation and clarify mixed-preset handling.

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Comment on lines 164 to 167
#: Types an untied ``lm_head`` may stay quantized in. Broader than the union of
#: the two tables above because the head is also allowed to ride the generic
#: requantization path.
_LM_HEAD_PRESERVE: frozenset[str] = frozenset(
justinchuby added a commit that referenced this pull request Aug 25, 2026
## Summary

- emit the released architecture-neutral `model.type: "decoder"`
contract for compatible single-model decoder-only text graphs
- derive semantic inputs, cache templates, outputs, sparse global cache
slots, recurrent pairs, and sliding-window metadata from the optimized
ONNX graph
- preserve runtime-specific LFM2 and Phi-3 LongRoPE behavior, fail
closed for Mobius GPT-2's incompatible separate-cache ABI and
unsupported state layouts, and record runtime compatibility without
emitting main-only `state_groups`
- keep GGUF runtime promotion evidence-gated while validating the exact
SmolLM F16/CPU/tokenizer route end to end

## Validation

- 228 focused ORT GenAI/GGUF config tests
- 2,871 affected CLI/ORT GenAI/GGUF tests
- exact SmolLM deterministic generation on `onnxruntime-genai` 0.14.1
and 0.15.2
- exact Q4_K_M fail-closed/dequantized parity test from the stacked base
- full initialized lintrunner pass
- two independent high-confidence reviews plus a final fix verification

Stacked on #609.

---------

Signed-off-by: Justin Chu <justinchuby@users.noreply.github.com>
Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com>
justinchuby added a commit that referenced this pull request Aug 25, 2026
Adapt Kimi-K3 quantized import to the fail-closed policy from #609: reject lossy rank-3 MLA reshaping, retain explicit float import, and split fused Q4_0 KV-B with exact packed-row reordering.

Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com>
Signed-off-by: Justin Chu <justinchuby@users.noreply.github.com>
justinchuby added a commit that referenced this pull request Aug 25, 2026
Adapt Kimi-K3 quantized import to the fail-closed policy from #609: reject lossy rank-3 MLA reshaping, retain explicit float import, and split fused Q4_0 KV-B with exact packed-row reordering.

Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com>
Signed-off-by: Justin Chu <justinchuby@users.noreply.github.com>
justinchuby added a commit that referenced this pull request Aug 25, 2026
Adapt Kimi-K3 quantized import to the fail-closed policy from #609: reject lossy rank-3 MLA reshaping, retain explicit float import, and split fused Q4_0 KV-B with exact packed-row reordering.

Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com>
Signed-off-by: Justin Chu <justinchuby@users.noreply.github.com>
justinchuby added a commit that referenced this pull request Aug 25, 2026
## Summary

- add a dedicated Kimi-K3 config, model, and heterogeneous-state task
with exact KDA/NoPE gated-MLA scheduling, AttnRes mixing, SiTU latent
MoE, shared experts, and an untied output head
- import pinned llama.cpp `kimi-k3` GGUF metadata and tensors with
strict metadata/tensor/shape/storage closure and malformed-input
rejection
- preserve lossless quantization routes under #609: separate rank-3 MLA
projections fail closed unless explicitly dequantized, while fused Q4_0
KV-B is split by exact packed-row reordering across weights, scales, and
zero-points
- preserve valid KDA convolution history across padding, validate
kernel/state/task contracts, and cover replay, reorder, float/quantized
import, roundtrip, CLI, and negative paths
- keep generic OGA runtime packaging truthfully deferred under #605
because released cache schemas cannot represent the heterogeneous state
ABI

## Reconstruction

Reconstructed after #619 was admin squash-merged. The PR contains only
the four-commit Kimi-K3 delta and review follow-ups on live-main base
`04b7e3f6f2d9de5d5741aafb8fa6375a18eee693`. This preserves #611
graph-driven ORT GenAI decoder configs, #618 ORT GenAI end-to-end CI,
#624 generic decoder config migration, and the Kimi Linear, MiniMax,
runtime, and fail-closed quantization changes already on main. `git
range-diff` reports all four replayed commits as patch-identical (`=`).

## Validation

- Kimi-K3 model and GGUF tests: 30 passed
- focused builder/build-graph Kimi-K3 checks: 4 passed, 1900 deselected
- affected generic ORT config/runtime/E2E tests: 250 passed
- affected OGA metadata tests: 94 passed, 1 skipped
- broad non-integration suite: 7765 passed, 56 skipped, 1 subtest passed
- repository lintrunner passed
- final GPT-5.6 Sol medium review reported no findings

## Real-checkpoint note

The pinned
`yujiepan/kimi-k3-tiny-random@a5c86ee03f07f7b141508b0108304a1447fbb345`
checkpoint was assessed, but macOS cannot run its required `fla-core`
kernels and its selective compressed-tensors MXFP4 expert representation
is unsupported by the generic HF loader. That format fails explicitly
rather than producing an incorrectly quantized graph.

---------

Signed-off-by: Justin Chu <justinchuby@users.noreply.github.com>
Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com>
justinchuby added a commit that referenced this pull request Aug 25, 2026
## Summary

- clean up still-valid typing, documentation, test robustness,
error-message,
  maintainability, and performance findings left by the GGUF PR stack
- preserve the behavioral fixes merged in #625-#632
- hash reused multi-GB GGUF sources once, at the final pre-publication
integrity
  gate, while retaining cheap identity checks around staging

Exact base: `2db9d33debdc254d879a51b14434c9a81c230f4f`

Exact head: `4541ed2bc9d2ab4227484510b4a85b2d9113eb25`

## Reconstructed original 17-item low-priority tranche

The persisted audit retained only the totals, so this list was
reconstructed
from the live threads and current source. All but the already-fixed #596
comment are addressed in this PR.

| PR | Comment | Disposition |
|---|---:|---|
| #550 | 3837144656 | Implemented: correct tuple return annotation |
| #552 | 3837389183 | Implemented: multichannel waveform shape docs |
| #559 | 3837716261 | Implemented: name-based cache assertions |
| #573 | 3854308350 | Implemented: one final GGUF hash, with integrity
regression coverage |
| #574 | 3854345521 | Implemented: `TensorRole \| None` typing |
| #574 | 3854345597 | Implemented: removed obsolete verdict filtering |
| #577 | 3854472859 | Implemented: documented SSM sequence length |
| #578 | 3843112613 | Implemented: documented F64 passthrough |
| #579 | 3854518332 | Implemented: generalized fused-projection error |
| #580 | 3854576300 | Implemented: removed brittle node counts |
| #583 | 3854681386 | Implemented: documented conditional draft outputs
|
| #587 | 3854816872 | Implemented: corrected MTP output contract docs |
| #596 | 3846110059 | Already fixed on base: unambiguous GQA bias
comment |
| #600 | 3855174281 | Implemented: metadata-count-only MTP error |
| #607 | 3855776048 | Implemented: stable route-field assertions |
| #607 | 3855776086 | Implemented: public tensor iterator |
| #609 | 3856486136 | Implemented: fail-closed LM-head comment |

## Current unresolved-thread disposition

This covers all 48 Copilot threads returned by the reproducible
#600-#630
query. The one human #623 thread is excluded.

| PR | Comment | Current-main disposition and evidence |
|---|---:|---|
| #600 | 3855174177 | Already fixed by #629: package cycle and
reserved-sidecar validation |
| #600 | 3855174238 | Already fixed by #629: explicit MTP sidecar
naming/loading |
| #600 | 3855174281 | Implemented here: error no longer invents an
observed block count |
| #602 | 3848155961 | Outside exact stack; already fixed: top-level
`expert_dtype` is classified before early return |
| #602 | 3848155983 | Outside exact stack; still-valid behavioral
block-quant validation, unchanged |
| #602 | 3848156000 | Outside exact stack; still-valid truncated-read
behavioral finding, unchanged |
| #602 | 3848156022 | Outside exact stack; still-valid descriptor
byte/dtype validation, unchanged |
| #602 | 3848156040 | Outside exact stack; still-valid expert-bank
payload validation, unchanged |
| #603 | 3855249765 | Already fixed by #630: runtime preflight preserves
shard sets |
| #603 | 3855249840 | Already fixed by #630: success output follows
durable runtime publication |
| #604 | 3855343082 | Implemented here: graph-only MTP persistence
distinguished from runtime rejection |
| #604 | 3855343131 | Already fixed by #630: runtime success messages
are atomic |
| #607 | 3855776001 | Implemented here: missing generation golden skips
before provenance read |
| #607 | 3855776048 | Implemented here: only stable route fields are
asserted |
| #607 | 3855776086 | Implemented here: tensor count uses
`tensor_items_raw()` |
| #608 | 3856079371 | Still-valid behavioral cache-symlink containment
finding; unchanged |
| #608 | 3856079415 | Still-valid behavioral lowercase-digest validation
finding; unchanged |
| #609 | 3856486136 | Implemented here: comment matches value-preserving
policy |
| #610 | 3855541683 | Already fixed by #628: Falcon bias precedence is
explicit |
| #610 | 3855541761 | Already fixed by #628: CTRL tiny config exercises
projection biases |
| #611 | 3856595840 | Implemented here: runtime test resolves the
distribution providing the module |
| #612 | 3855677383 | Already fixed by #625: supported-version
endianness detection |
| #612 | 3855677427 | Implemented here: shared `INT64_MAX` sentinel |
| #612 | 3855677460 | Implemented here: shared PLaMo2 width inference |
| #612 | 3855677486 | Implemented here: accepted PLaMo2 activation
spellings are explicit |
| #613 | 3855845678 | Implemented here: canonical issue URL |
| #613 | 3855845757 | Implemented here: Mamba-1 function-registration
docs |
| #613 | 3855845806 | Implemented here: test expects the canonical issue
URL |
| #614 | 3855988545 | Implemented here: removed stale Nemotron-H
divergence comments |
| #614 | 3855988597 | Already fixed by #628: zero-head geometry raises
actionable `ValueError` |
| #615 | 3856082290 | Already fixed by #626: dense GraniteHybrid bias
closure |
| #618 | 3856729330 | Implemented here: required routes filter ORT GenAI
evidence |
| #618 | 3856729409 | Implemented here: env-selected runtime version is
authoritative |
| #618 | 3856729490 | Stale/N/A: PR-description-only matrix claim;
repository workflow claims one pinned version |
| #618 | 3856729563 | Implemented here: schema tail restored to normal
indentation |
| #619 | 3856342484 | Already fixed on base: Kimi Linear uses
`/issues/605` |
| #619 | 3856342532 | Already fixed by #628: config rejects convolution
kernels below 2 |
| #619 | 3856342580 | Already fixed by #628: GGUF contract rejects
convolution kernels below 2 |
| #620 | 3855717041 | Already fixed by #627: tied LM-head-only
checkpoints are retained |
| #621 | 3856722324 | Already fixed by #628: Kimi-K3 required metadata
is complete |
| #623 | 3855931210 | N/A to current main: comment belongs to open,
unmerged #623 |
| #623 | 3855939302 | N/A to current main: comment belongs to open,
unmerged #623 |
| #623 | 3855939358 | N/A to current main: comment belongs to open,
unmerged #623 |
| #623 | 3855939394 | N/A to current main: comment belongs to open,
unmerged #623 |
| #624 | 3856777152 | Implemented here: runtime compatibility reuses the
emitted model type |
| #625 | 3857049733 | Implemented here: unsupported header reports both
endian candidates |
| #629 | 3857313182 | Newer post-audit behavioral sidecar-symlink
cleanup finding; unchanged |
| #629 | 3857313251 | Newer post-audit cross-platform path-safety
finding; unchanged |

## Validation

- affected GGUF/package/ORT GenAI/model/schema tests: 1,040 passed
- broad non-integration suite: 7,851 passed, 56 skipped, 1 subtest
passed
- generated GGUF docs checks: 7 passed
- initialized `lintrunner`; full lint/format passed
- GPT-5.6 Sol medium review: one integrity finding fixed; re-review
found no significant issues

Signed-off-by: Justin Chu <justinchuby@users.noreply.github.com>
Co-authored-by: Copilot App <223556219+Copilot@users.noreply.github.com>
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