chore(deps): bump pydantic-settings, transformers, soupsieve (security)

Clears the pydantic-settings Dependabot alert across all affected
manifests plus the three high-severity alerts in the root lock.

  pydantic-settings 2.12.0/2.14.0/2.14.1 -> 2.14.2  GHSA-4xgf-cpjx-pc3j
  transformers      5.3.0  -> 5.12.1               GHSA-fgcw-684q-jj6r
  soupsieve         2.8    -> 2.8.4                GHSA-2wc2-fm75-p42x
                                                   GHSA-836r-79rf-4m37

pydantic-settings is transitive everywhere (no direct declaration), so
the locks are the only lever. crewai is deliberately left at 2.10.1: the
advisory's range is >=2.12.0,<2.14.2 and NestedSecretsSettingsSource did
not exist in 2.10.x, so it is unaffected.

transformers is a direct dep, and hindsight-api is published, so the
declared floor -- not our lock -- is what protects installers of the
local-ml/local-onnx extras. The old >=4.53.0 floor resolved to 4.57.6
(vulnerable) under any downstream cap of transformers<5, so raise it to
the advisory's first patched version. Note this now fails resolution for
consumers pinned below transformers 5 rather than silently installing a
vulnerable build. The >=4.53.0 floor was already unreachable in practice:
4.53.0 requires tokenizers<0.22, which our own cap excludes.

The tokenizers<=0.23.0 cap is kept. #2055 was caused by transformers
declaring a wider tokenizers range in metadata than its import-time check
enforces, and the cap is what blocks that; the comment now records this
so it does not read as removable.

Root uv.lock is reformatted from lock revision 1 to 3 because uv rewrites
in its current format whenever it writes. The other 32 locks in the repo
are already revision 3 and CI's setup-uv is unpinned, so this aligns root
rather than drifting it. Only 3 versions actually change.

Verified: local-ml sync resolves tokenizers 0.22.2 under transformers
5.12.1; LocalSTEmbeddings and LocalSTCrossEncoder both initialize and run
(the #2055 import path). Lint passes.

Author: dcbouius

hindsight-api-slim/pyproject.toml

@@ -81,10 +81,11 @@ dependencies = [
 local-ml = [
     # Local ML models for embeddings/reranking
     "sentence-transformers>=3.3.0",
-    "transformers>=4.53.0", # Security fixes for ReDoS vulnerabilities
-    # transformers (incl. latest 5.x) hard-requires tokenizers<=0.23.0 via a
-    # runtime check; without this cap an in-place upgrade can pull tokenizers
-    # 0.23.1 and break local embeddings/reranker startup. See issue #2055.
+    "transformers>=5.5.0", # ReDoS fixes; 5.5.0 clears GHSA-fgcw-684q-jj6r (LightGlue RCE)
+    # transformers enforces tokenizers<=0.23.0 with a runtime check, but has
+    # shipped metadata declaring a wider range than it actually enforces. Keep
+    # this cap: without it an in-place upgrade can pull tokenizers 0.23.1 and
+    # break local embeddings/reranker startup. See issue #2055.
     "tokenizers>=0.22.0,<=0.23.0",
     "torch>=2.6.0", # CVE fix for remote code execution
     "einops>=0.8.2",
@@ -104,7 +105,7 @@ local-llm = [
 local-onnx = [
     # In-process ONNX Runtime embeddings without an Ollama/TEI sidecar
     "onnxruntime>=1.17.0",
-    "transformers>=4.53.0",
+    "transformers>=5.5.0", # 5.5.0 clears GHSA-fgcw-684q-jj6r (LightGlue RCE)
     "tokenizers>=0.22.0,<=0.23.0", # See issue #2055 (transformers caps tokenizers<=0.23.0)
     "huggingface-hub>=0.20.0",
     "numpy>=1.26.0",