diff --git a/.github/actions/docker-deploy/action.yml b/.github/actions/docker-deploy/action.yml
index 32c2a77a..8fa71d15 100644
--- a/.github/actions/docker-deploy/action.yml
+++ b/.github/actions/docker-deploy/action.yml
@@ -151,7 +151,7 @@ runs:
         flags: |
           --add-cloudsql-instances ${{ inputs.deployment-sql-instance }}
           --vpc-connector ${{ inputs.deployment-vpc-connector }}
-          --vpc-egress all
+          --vpc-egress private-ranges-only
           --allow-unauthenticated
           --memory ${{ env.MEMORY }}
           --cpu ${{ env.CPU }}
diff --git a/.github/actions/unit-tests/action.yml b/.github/actions/unit-tests/action.yml
index f1f3ffa4..480239df 100644
--- a/.github/actions/unit-tests/action.yml
+++ b/.github/actions/unit-tests/action.yml
@@ -19,7 +19,7 @@ runs:
       shell: bash
 
     - name: Install Dependencies
-      run: poetry install --with dev,test
+      run: poetry install --with dev,test,scripts
       shell: bash
 
     - name: Run Linting
diff --git a/.github/workflows/build-and-deploy-workflow.yml b/.github/workflows/build-and-deploy-workflow.yml
new file mode 100644
index 00000000..2aaba3cd
--- /dev/null
+++ b/.github/workflows/build-and-deploy-workflow.yml
@@ -0,0 +1,174 @@
+name: CAS Repository Build and Deploy Workflow
+on:
+  workflow_dispatch:
+    inputs:
+      service-type:
+        description: 'Service type to build and deploy. Can be `compute`, `admin` or `both`. Default is `both`.'
+        required: false
+        default: 'both'
+        type: choice
+        options:
+          - both
+          - compute
+          - admin
+      image-tag:
+        description: 'Docker image tag. Will use the short hash of the last commit in the branch if nothing is passed in.'
+        required: false
+        default: ''
+      add-latest-tag:
+        description: 'Push a `latest` tag to the artifact registry. Default is `true`.'
+        required: false
+        default: true
+        type: boolean
+      deployment-prefix:
+        description: 'The prefix to add to the deployment names'
+        required: true
+        default: ''
+      service-account-email:
+        description: 'Service account email used as the identity for the deployment.'
+        required: true
+        default: ''
+      sql-instance:
+        description: 'The SQL instance to connect to in the form [project]:[region]:[instance]'
+        required: true
+        default: ''
+      vpc-connector:
+        description: 'The VPC connector to use for the deployment in the form projects/[project]/locations/[region]/connectors/[connector]'
+        required: true
+        default: ''
+      config-secret:
+        description: 'The Google secret to use for the deployment configuration in the form [secret-name]:[version (or "latest")]'
+        required: true
+        default: ''
+      region:
+        description: 'The region to deploy the image to'
+        required: false
+        default: 'us-central1'
+      flavor:
+        description: 'The nature of the deployment set. Configurations are set based on this value and the values can be configured in the deploy/cloudrun/{flavor}.json files.'
+        required: true
+        default: 'default'
+
+jobs:
+
+  prepare:
+    name: Resolve Image Tag
+    runs-on: ubuntu-latest
+    outputs:
+      image-tag: ${{ steps.get-tag.outputs.tag }}
+    steps:
+      - uses: actions/checkout@v4
+
+      - id: get-tag
+        name: Get image tag
+        env:
+          IMAGE_TAG: ${{ inputs.image-tag }}
+        run: |
+          if [[ "$IMAGE_TAG" == "" ]]; then
+            echo "tag=$(git rev-parse --short HEAD)" >> $GITHUB_OUTPUT
+          else
+            echo "tag=$IMAGE_TAG" >> $GITHUB_OUTPUT
+          fi
+        shell: bash
+
+  build-images:
+    name: Build Docker Images
+    needs: prepare
+    runs-on: ubuntu-latest
+
+    permissions:
+      contents: write
+      id-token: write
+
+    strategy:
+      matrix:
+        service-type: [ 'compute', 'admin' ]
+
+    env:
+      DOCKER_REGISTRY_NAME: us-central1-docker.pkg.dev
+      COMPUTE_IMAGE_NAME: us-central1-docker.pkg.dev/${{ secrets.GCP_PROJECT_ID }}/cas-services-cicd/cas-compute
+      ADMIN_IMAGE_NAME: us-central1-docker.pkg.dev/${{ secrets.GCP_PROJECT_ID }}/cas-services-cicd/cas-admin
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - id: build-compute
+        uses: ./.github/actions/docker-build
+        if: matrix.service-type == 'compute' && (inputs.service-type == 'compute' || inputs.service-type == 'both')
+        with:
+          docker-registry-name: ${{ env.DOCKER_REGISTRY_NAME }}
+          image-name: ${{ env.COMPUTE_IMAGE_NAME }}
+          image-tag: ${{ needs.prepare.outputs.image-tag }}
+          service-type: ${{ matrix.service-type }}
+          gcp-provider-id: ${{ secrets.GCP_PROVIDER_ID }}
+          gcp-service-account-email: ${{ secrets.GCP_SERVICE_ACCOUNT_EMAIL }}
+          add-latest-tag: ${{ inputs.add-latest-tag }}
+
+      - id: build-admin
+        uses: ./.github/actions/docker-build
+        if: matrix.service-type == 'admin' && (inputs.service-type == 'admin' || inputs.service-type == 'both')
+        with:
+          docker-registry-name: ${{ env.DOCKER_REGISTRY_NAME }}
+          image-name: ${{ env.ADMIN_IMAGE_NAME }}
+          image-tag: ${{ needs.prepare.outputs.image-tag }}
+          service-type: ${{ matrix.service-type }}
+          gcp-provider-id: ${{ secrets.GCP_PROVIDER_ID }}
+          gcp-service-account-email: ${{ secrets.GCP_SERVICE_ACCOUNT_EMAIL }}
+          add-latest-tag: ${{ inputs.add-latest-tag }}
+
+  deploy-services:
+    name: Deploy CAS Services
+    needs: [ prepare, build-images ]
+    runs-on: ubuntu-latest
+
+    permissions:
+      contents: write
+      id-token: write
+
+    env:
+      DOCKER_REGISTRY_NAME: us-central1-docker.pkg.dev
+      COMPUTE_IMAGE_NAME: us-central1-docker.pkg.dev/${{ secrets.GCP_PROJECT_ID }}/cas-services-cicd/cas-compute
+      ADMIN_IMAGE_NAME: us-central1-docker.pkg.dev/${{ secrets.GCP_PROJECT_ID }}/cas-services-cicd/cas-admin
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - id: deploy-admin
+        name: Deploy the CAS Admin Service
+        uses: ./.github/actions/docker-deploy
+        if: inputs.service-type == 'admin' || inputs.service-type == 'both'
+        with:
+          docker-registry-name: ${{ env.DOCKER_REGISTRY_NAME }}
+          image-name: ${{ env.ADMIN_IMAGE_NAME }}
+          image-tag: ${{ needs.prepare.outputs.image-tag }}
+          gcp-provider-id: ${{ secrets.GCP_PROVIDER_ID }}
+          gcp-service-account-email: ${{ secrets.GCP_SERVICE_ACCOUNT_EMAIL }}
+          deployment-type: cas-admin
+          deployment-prefix: ${{ inputs.deployment-prefix }}
+          deployment-project: ${{ secrets.GCP_PROJECT_ID }}
+          deployment-service-account-email: ${{ inputs.service-account-email }}
+          deployment-sql-instance: ${{ inputs.sql-instance }}
+          deployment-vpc-connector: ${{ inputs.vpc-connector }}
+          deployment-config-secret: ${{ inputs.config-secret }}
+          deployment-region: ${{ inputs.region }}
+          deployment-flavor: ${{ inputs.flavor }}
+
+      - id: deploy-compute
+        name: Deploy the CAS Compute Service
+        uses: ./.github/actions/docker-deploy
+        if: inputs.service-type == 'compute' || inputs.service-type == 'both'
+        with:
+          docker-registry-name: ${{ env.DOCKER_REGISTRY_NAME }}
+          image-name: ${{ env.COMPUTE_IMAGE_NAME }}
+          image-tag: ${{ needs.prepare.outputs.image-tag }}
+          gcp-provider-id: ${{ secrets.GCP_PROVIDER_ID }}
+          gcp-service-account-email: ${{ secrets.GCP_SERVICE_ACCOUNT_EMAIL }}
+          deployment-type: cas-compute
+          deployment-prefix: ${{ inputs.deployment-prefix }}
+          deployment-project: ${{ secrets.GCP_PROJECT_ID }}
+          deployment-service-account-email: ${{ inputs.service-account-email }}
+          deployment-sql-instance: ${{ inputs.sql-instance }}
+          deployment-vpc-connector: ${{ inputs.vpc-connector }}
+          deployment-config-secret: ${{ inputs.config-secret }}
+          deployment-region: ${{ inputs.region }}
+          deployment-flavor: ${{ inputs.flavor }}
diff --git a/.github/workflows/deploy-workflow.yml b/.github/workflows/deploy-workflow.yml
index 818490e7..d780a50c 100644
--- a/.github/workflows/deploy-workflow.yml
+++ b/.github/workflows/deploy-workflow.yml
@@ -53,11 +53,13 @@ jobs:
 
       - id: get-image-tag
         name: Get tag
+        env:
+          IMAGE_TAG: ${{ inputs.image-tag }}
         run: |
-          if [[ "${{ inputs.image-tag }}" == "" ]]; then
+          if [[ "$IMAGE_TAG" == "" ]]; then
             echo "IMAGE_TAG=latest" >> $GITHUB_ENV
           else
-            echo "IMAGE_TAG=${{ inputs.image-tag }}" >> $GITHUB_ENV
+            echo "IMAGE_TAG=$IMAGE_TAG" >> $GITHUB_ENV
           fi
         shell: bash
       - id: deploy-admin
diff --git a/CHANGELOG.rst b/CHANGELOG.rst
index 17eee98e..1fc05618 100644
--- a/CHANGELOG.rst
+++ b/CHANGELOG.rst
@@ -7,6 +7,72 @@ The format is based on `Keep a Changelog <https://keepachangelog.com/en/1.0.0/>`
 and this project adheres to `Semantic Versioning <https://semver.org/spec/v2.0.0.html>`_.
 
 
+1.8.4 - 2026-04-29
+------------------
+
+Added
+~~~~~
+- Added API endpoint for serving precomputed Cell Ontology (CL) resources (#214)
+- Added ``OntologicalColumnInfo`` model and API response fields for ontology column metadata (#214)
+- Added script to generate and upload CL ontology resources (#214)
+- Added unified build-and-deploy GitHub Actions workflow for CAS services
+- Increased Uvicorn worker count and Cloud Run concurrency settings
+
+Fixed
+~~~~~
+- Fixed VPC egress setting to ``private-ranges-only`` in deploy action
+- Fixed image tag handling in build and deploy workflows
+
+Changed
+~~~~~~~
+- Raised the minimum supported client version to ``1.8.0``
+- Updated dependencies: unpinned ``numpy`` (now resolved transitively), bumped ``torch`` lower bound to ``>=2.4.0``
+- Temporarily downgraded ``torch`` and ``cellarium-ml`` for compatibility, then re-pinned to stable versions
+
+
+1.8.3 - 2026-04-15
+------------------
+
+Added
+~~~~~
+- Added ``memory_budget`` configuration option for the TileDB vector index
+
+Fixed
+~~~~~
+- Fixed incorrect batch key handling in model inference (#212, #213)
+
+Changed
+~~~~~~~
+- Updated Cloud Run deployment configuration
+
+
+1.8.2 - 2026-04-07
+------------------
+
+Added
+~~~~~
+- Added TileDB Vector Search integration as the vector search backend (#209)
+- Added support for querying cell metadata directly from the SOMA table
+- Added support for multiple ontologies in cell annotation requests (#211)
+
+Removed
+~~~~~~~
+- Removed Vertex AI Matching Engine client and all related vector search code (#209)
+
+Changed
+~~~~~~~
+- Updated minimum required client version to 1.7.5
+- Refactored vector search layer with a factory pattern and type aliases
+
+
+1.8.1 - 2026-03-20
+------------------
+
+Fixed
+~~~~~
+- Fixed Read the Docs configuration for Python 3.12 (#207)
+
+
 1.8.0 - 2026-03-20
 ------------------
 
diff --git a/Makefile b/Makefile
index f4b1721a..586979c6 100644
--- a/Makefile
+++ b/Makefile
@@ -16,11 +16,7 @@ help:
 
 # Export requirements.txt.lock for production (Docker, etc.)
 requirements:
-	poetry export -f requirements.txt --output deploy/requirements.txt.lock --without-hashes --without dev,test,docs
-
-# Export requirements.txt.lock for Docker builds
-docker-requirements:
-	poetry export -f requirements.txt --output deploy/requirements.txt.lock --without-hashes --without dev,docs
+	poetry export -f requirements.txt --output deploy/requirements.txt.lock --without-hashes --without dev,test,docs,scripts
 
 # Install Poetry
 setup:
diff --git a/cellarium/cas_backend/apps/compute/routers/cellarium_general_router.py b/cellarium/cas_backend/apps/compute/routers/cellarium_general_router.py
index b6638cfd..759822b1 100644
--- a/cellarium/cas_backend/apps/compute/routers/cellarium_general_router.py
+++ b/cellarium/cas_backend/apps/compute/routers/cellarium_general_router.py
@@ -1,7 +1,7 @@
 import typing as t
 
 from fastapi import APIRouter, Depends
-from fastapi.responses import RedirectResponse
+from fastapi.responses import JSONResponse, RedirectResponse
 
 from cellarium.cas_backend.apps.compute import dependencies, schemas
 from cellarium.cas_backend.apps.compute.services.cell_quota_service import CellQuotaService
@@ -147,3 +147,26 @@ async def increase_quota_for_user_by_email(
     """
     user_for_increase = cellarium_general_service.get_user_by_email(user_email=user_email)
     cell_quota_service.increase_quota(admin_user=admin_user, user_for_increase=user_for_increase)
+
+
+@cellarium_general_router.get("/cell-ontology-resource/{name}", response_model=schemas.CellOntologyResourceResponse)
+async def get_cell_ontology_resource(
+    name: str,
+    _: AuthUser,
+    cellarium_general_service: GeneralService,
+):
+    """
+    Get a precomputed cell ontology resource by its unique name.
+
+    Returns precomputed graph-derived fields so the client can skip building the ontology graph locally.
+
+    :param name: Unique name of the ontological column resource
+
+    :return: Precomputed cell ontology resource with cl_names, term-to-type mapping,
+        children dictionary, shortest and longest path lengths from root
+    """
+    result = cellarium_general_service.get_cell_ontology_resource(name=name)
+    return JSONResponse(
+        content=result.model_dump(),
+        headers={"Cache-Control": "public, max-age=86400"},
+    )
diff --git a/cellarium/cas_backend/apps/compute/schemas/__init__.py b/cellarium/cas_backend/apps/compute/schemas/__init__.py
index 52e356e9..f775e470 100644
--- a/cellarium/cas_backend/apps/compute/schemas/__init__.py
+++ b/cellarium/cas_backend/apps/compute/schemas/__init__.py
@@ -16,6 +16,7 @@
 from cellarium.cas_backend.apps.compute.schemas.cellarium_general import (  # noqa
     ApplicationInfo,
     CASModel,
+    CellOntologyResourceResponse,
     ClientVersionInput,
     ClientVersionOutput,
     FeatureSchemaInfo,
diff --git a/cellarium/cas_backend/apps/compute/schemas/cellarium_general.py b/cellarium/cas_backend/apps/compute/schemas/cellarium_general.py
index d8d5cea5..37231feb 100644
--- a/cellarium/cas_backend/apps/compute/schemas/cellarium_general.py
+++ b/cellarium/cas_backend/apps/compute/schemas/cellarium_general.py
@@ -1,6 +1,14 @@
 import datetime
 
-from pydantic import BaseModel, ConfigDict, Field, field_validator
+from pydantic import AliasPath, BaseModel, ConfigDict, Field, field_validator
+
+
+class OntologicalColumnInfo(BaseModel):
+    model_config = ConfigDict(from_attributes=True)
+
+    ontology_resource_name: str
+    column_name: str
+    description: str | None = None
 
 
 class CASModel(BaseModel):
@@ -11,6 +19,10 @@ class CASModel(BaseModel):
     schema_name: str = Field(example="refdata-gex-mm10-2020-A")
     is_default_model: bool = Field(example=False)
     embedding_dimension: int = Field(example=512)
+    ontological_columns: list[OntologicalColumnInfo] = Field(
+        default_factory=list,
+        validation_alias=AliasPath("cell_info_metadata", "ontological_columns"),
+    )
 
     # Set the default value for description if it is provided as None
     @field_validator("description", mode="before")
@@ -51,3 +63,11 @@ class ClientVersionInput(BaseModel):
 class ClientVersionOutput(BaseModel):
     is_valid: bool
     min_version: str
+
+
+class CellOntologyResourceResponse(BaseModel):
+    cl_names: list[str]
+    cell_ontology_term_id_to_cell_type: dict[str, str]
+    children_dictionary: dict[str, list[str]]
+    shortest_path_lengths_from_cell_root: dict[str, int]
+    longest_path_lengths_from_cell_root: dict[str, int]
diff --git a/cellarium/cas_backend/apps/compute/services/cellarium_general_service.py b/cellarium/cas_backend/apps/compute/services/cellarium_general_service.py
index 8e5f6579..b989ace6 100644
--- a/cellarium/cas_backend/apps/compute/services/cellarium_general_service.py
+++ b/cellarium/cas_backend/apps/compute/services/cellarium_general_service.py
@@ -2,6 +2,7 @@
 
 from cellarium.cas_backend.apps.compute import schemas
 from cellarium.cas_backend.apps.compute.services import exceptions
+from cellarium.cas_backend.apps.compute.services.consensus_engine.strategies.ontology_aware import CellOntologyResource
 from cellarium.cas_backend.core import constants
 from cellarium.cas_backend.core.data_managers import CellariumGeneralDataManager
 from cellarium.cas_backend.core.db import models
@@ -82,3 +83,21 @@ def get_user_by_email(self, user_email: str) -> models.User:
         :return: User object
         """
         return self.cellarium_general_dm.get_user_by_email(user_email=user_email)
+
+    def get_cell_ontology_resource(self, name: str) -> schemas.CellOntologyResourceResponse:
+        """
+        Load and return a precomputed cell ontology resource by its unique name.
+
+        :param name: Unique name of the ontological column
+
+        :return: Precomputed cell ontology resource response
+        """
+        column = self.cellarium_general_dm.get_ontological_column_by_name(ontology_resource_name=name)
+        resource = CellOntologyResource(ontology_resource_uri=column.ontology_resource_uri)
+        return schemas.CellOntologyResourceResponse(
+            cl_names=resource.cl_names,
+            cell_ontology_term_id_to_cell_type=resource.ontology_term_id_to_name_dict,
+            children_dictionary=resource.children_dictionary,
+            shortest_path_lengths_from_cell_root=resource.shortest_path_lengths_from_cell_root,
+            longest_path_lengths_from_cell_root=resource.longest_path_lengths_from_cell_root,
+        )
diff --git a/cellarium/cas_backend/apps/compute/services/consensus_engine/strategies/ontology_aware.py b/cellarium/cas_backend/apps/compute/services/consensus_engine/strategies/ontology_aware.py
index 534bbfbe..200aea82 100644
--- a/cellarium/cas_backend/apps/compute/services/consensus_engine/strategies/ontology_aware.py
+++ b/cellarium/cas_backend/apps/compute/services/consensus_engine/strategies/ontology_aware.py
@@ -45,6 +45,17 @@ def __init__(
 
         self.ancestors_dictionary = cell_ontology_resource_dict["ancestors_dictionary"]
         self.ontology_term_id_to_name_dict = cell_ontology_resource_dict["cell_ontology_term_id_to_cell_type"]
+        self.children_dictionary: dict[str, list[str]] | None = cell_ontology_resource_dict.get("children_dictionary")
+        self.shortest_path_lengths_from_cell_root: dict[str, int] | None = cell_ontology_resource_dict.get(
+            "shortest_path_lengths_from_cell_root"
+        )
+        self.longest_path_lengths_from_cell_root: dict[str, int] | None = cell_ontology_resource_dict.get(
+            "longest_path_lengths_from_cell_root"
+        )
+
+    @property
+    def cl_names(self) -> list[str]:
+        return sorted(self.ontology_term_id_to_name_dict.keys())
 
 
 class CellTypeOntologyAwareConsensusStrategy(ConsensusStrategyInterface):
@@ -116,8 +127,7 @@ def _calculate_cell_type_ontology_aware_scores(
         scores_dict = dict.fromkeys(self.cell_ontology_resource.ancestors_dictionary.keys(), 0)
 
         for neighbor_metadata, weight in zip(neighbor_metadata, weights, strict=False):
-            # Cell Ontology IDs have the formats: CL:0000000 (in our database) and CL_0000000 (in the ontology graph)
-            neighbor_cell_type_ontology_id = neighbor_metadata.cell_type_ontology_term_id.replace(":", "_")
+            neighbor_cell_type_ontology_id = neighbor_metadata.cell_type_ontology_term_id
 
             total_weight += weight
             total_neighbors += 1
diff --git a/cellarium/cas_backend/core/config.py b/cellarium/cas_backend/core/config.py
index ed90d65f..7a03408b 100644
--- a/cellarium/cas_backend/core/config.py
+++ b/cellarium/cas_backend/core/config.py
@@ -23,7 +23,7 @@ class AllEnvSettings(BaseSettings):
     # General
     GOOGLE_ACCOUNT_CREDENTIALS: dict = json.loads(os.environ.get("GOOGLE_SERVICE_ACCOUNT_CREDENTIALS", "{}"))
     ENVIRONMENT: str = ENV_TYPE
-    APP_VERSION: str = "1.8.3"
+    APP_VERSION: str = "1.8.4"
     APP_ROOT: str = REPO_ROOT
     DEFAULT_FEATURE_SCHEMA: str = "refdata-gex-GRCh38-2020-A"
     PROJECT_BUCKET_NAME: str | None = os.environ.get("PROJECT_BUCKET_NAME")
@@ -57,7 +57,7 @@ class AllEnvSettings(BaseSettings):
     API_REQUEST_TEMP_TABLE_DATASET_EXPIRATION: int = 10  # 10 minutes
     KNN_SEARCH_NUM_MATCHES_DEFAULT: int = 100
     ITEMS_PER_USER: int = 50
-    UVICORN_WORKERS: int = 1
+    UVICORN_WORKERS: int = 2
     MAX_CELL_IDS_PER_QUERY: int = 20_000  # Maximum number of cell IDs that can be queried at once
     # Consensus Engine
     # Auth
diff --git a/cellarium/cas_backend/core/constants.py b/cellarium/cas_backend/core/constants.py
index 5fc22ba1..083b5c68 100644
--- a/cellarium/cas_backend/core/constants.py
+++ b/cellarium/cas_backend/core/constants.py
@@ -1,7 +1,7 @@
 from enum import Enum
 
 # The minimum client version that is allowed to connect to the server.
-MIN_CLIENT_VERSION: str = "1.7.5"
+MIN_CLIENT_VERSION: str = "1.8.0"
 
 
 class ContextKeys(str, Enum):
diff --git a/cellarium/cas_backend/core/data_managers/cellarium_general.py b/cellarium/cas_backend/core/data_managers/cellarium_general.py
index a3e11dbd..fe56c6bb 100644
--- a/cellarium/cas_backend/core/data_managers/cellarium_general.py
+++ b/cellarium/cas_backend/core/data_managers/cellarium_general.py
@@ -72,7 +72,15 @@ def get_models_all(self) -> list[models.CASModel]:
         :return: List of CAS models
         """
         with self.system_data_db_session_maker() as session:
-            return session.query(models.CASModel).all()
+            return (
+                session.query(models.CASModel)
+                .options(
+                    orm.joinedload(models.CASModel.cell_info_metadata).joinedload(
+                        models.CellInfoMetadata.ontological_columns
+                    )
+                )
+                .all()
+            )
 
     def get_models_non_admin(self) -> list[models.CASModel]:
         """
@@ -81,7 +89,16 @@ def get_models_non_admin(self) -> list[models.CASModel]:
         :return: List of CAS models
         """
         with self.system_data_db_session_maker() as session:
-            return session.query(models.CASModel).filter_by(admin_use_only=False).all()
+            return (
+                session.query(models.CASModel)
+                .options(
+                    orm.joinedload(models.CASModel.cell_info_metadata).joinedload(
+                        models.CellInfoMetadata.ontological_columns
+                    )
+                )
+                .filter_by(admin_use_only=False)
+                .all()
+            )
 
     def get_model_by_name(self, model_name: str) -> models.CASModel:
         """
@@ -149,3 +166,21 @@ def log_user_activity(
 
         with self.system_data_db_session_maker.begin() as session:
             session.add(user_activity)
+
+    def get_ontological_column_by_name(self, ontology_resource_name: str) -> models.OntologicalColumn:
+        """
+        Retrieve an ontological column by its unique ontology_resource_name.
+
+        :param ontology_resource_name: Unique name of the ontological column
+
+        :raises: NotFound if no ontological column with this name exists
+
+        :return: OntologicalColumn object
+        """
+        with self.system_data_db_session_maker() as session:
+            column = (
+                session.query(models.OntologicalColumn).filter_by(ontology_resource_name=ontology_resource_name).first()
+            )
+            if column is None:
+                raise exceptions.NotFound(f"Ontological column with name '{ontology_resource_name}' not found")
+            return column
diff --git a/cellarium/cas_backend/core/db/migrations/versions/t_2026-04-15_16-08-00_add_name_to_ontological_column.py b/cellarium/cas_backend/core/db/migrations/versions/t_2026-04-15_16-08-00_add_name_to_ontological_column.py
new file mode 100644
index 00000000..c3559974
--- /dev/null
+++ b/cellarium/cas_backend/core/db/migrations/versions/t_2026-04-15_16-08-00_add_name_to_ontological_column.py
@@ -0,0 +1,47 @@
+"""add_name_to_ontological_column
+
+Revision ID: c3d4e5f6a7b8
+Revises: b2c3d4e5f6a7
+Create Date: 2026-04-15 16:08:00.000000
+
+"""
+
+import uuid
+
+from alembic import op
+import sqlalchemy as sa
+
+# revision identifiers, used by Alembic.
+revision = "6426fc752f63"
+down_revision = "c3d4e5f6a7b8"
+branch_labels = None
+depends_on = None
+
+
+def upgrade() -> None:
+    # 1. Add ontology_resource_name column as nullable first
+    op.add_column(
+        "ml_management_ontological_column",
+        sa.Column("ontology_resource_name", sa.String(length=255), nullable=True),
+    )
+
+    # 2. Populate existing rows with a generated unique name
+    connection = op.get_bind()
+    rows = connection.execute(sa.text("SELECT id, column_name FROM ml_management_ontological_column")).fetchall()
+    for row in rows:
+        generated_name = f"{row[1]}_{uuid.uuid4().hex[:8]}"
+        connection.execute(
+            sa.text("UPDATE ml_management_ontological_column SET ontology_resource_name = :name WHERE id = :id"),
+            {"name": generated_name, "id": row[0]},
+        )
+
+    # 3. Make column non-nullable and add unique constraint
+    with op.batch_alter_table("ml_management_ontological_column") as batch_op:
+        batch_op.alter_column("ontology_resource_name", existing_type=sa.String(length=255), nullable=False)
+        batch_op.create_unique_constraint("uq_ontological_column_ontology_resource_name", ["ontology_resource_name"])
+
+
+def downgrade() -> None:
+    with op.batch_alter_table("ml_management_ontological_column") as batch_op:
+        batch_op.drop_constraint("uq_ontological_column_ontology_resource_name", type_="unique")
+        batch_op.drop_column("ontology_resource_name")
diff --git a/cellarium/cas_backend/core/db/models/ml_management.py b/cellarium/cas_backend/core/db/models/ml_management.py
index 3734c56b..5370a5eb 100644
--- a/cellarium/cas_backend/core/db/models/ml_management.py
+++ b/cellarium/cas_backend/core/db/models/ml_management.py
@@ -24,6 +24,7 @@ class OntologicalColumn(db.Base):
     cell_info_metadata = relationship(
         "CellInfoMetadata", backref=backref("ontological_columns", uselist=True, cascade="all, delete-orphan")
     )
+    ontology_resource_name = sa.Column(sa.String(255), unique=True, nullable=False)
     column_name = sa.Column(sa.String(255), nullable=False)
     ontology_resource_uri = sa.Column(sa.String(1023), nullable=False)
     description = sa.Column(sa.Text, nullable=True)
diff --git a/deploy/cloudrun/default.json b/deploy/cloudrun/default.json
index 2c033713..75ccf07b 100644
--- a/deploy/cloudrun/default.json
+++ b/deploy/cloudrun/default.json
@@ -12,6 +12,6 @@
     "memory": "32Gi",
     "max-instances": 200,
     "min-instances": 0,
-    "concurrency": 1
+    "concurrency": 2
   }
 }
diff --git a/deploy/requirements.txt.lock b/deploy/requirements.txt.lock
index e1416048..c4572a4f 100644
--- a/deploy/requirements.txt.lock
+++ b/deploy/requirements.txt.lock
@@ -1,4 +1,4 @@
---extra-index-url https://download.pytorch.org/whl/cpu
+--extra-index-url https://download-r2.pytorch.org/whl/cpu
 
 aiohttp==3.9.4 ; python_version >= "3.12" and python_version < "4.0"
 aiosignal==1.4.0 ; python_version >= "3.12" and python_version < "4.0"
@@ -6,7 +6,7 @@ alembic==1.9.2 ; python_version >= "3.12" and python_version < "4.0"
 anndata==0.10.8 ; python_version >= "3.12" and python_version < "4.0"
 annotated-doc==0.0.4 ; python_version >= "3.12" and python_version < "4.0"
 annotated-types==0.7.0 ; python_version >= "3.12" and python_version < "4.0"
-anyio==4.12.1 ; python_version >= "3.12" and python_version < "4.0"
+anyio==4.13.0 ; python_version >= "3.12" and python_version < "4.0"
 argon2-cffi-bindings==25.1.0 ; python_version >= "3.12" and python_version < "4.0"
 argon2-cffi==23.1.0 ; python_version >= "3.12" and python_version < "4.0"
 array-api-compat==1.14.0 ; python_version >= "3.12" and python_version < "4.0"
@@ -17,21 +17,22 @@ braceexpand==0.1.7 ; python_version >= "3.12" and python_version < "4.0"
 cellarium-ml==0.0.7 ; python_version >= "3.12" and python_version < "4.0"
 certifi==2026.2.25 ; python_version >= "3.12" and python_version < "4.0"
 cffi==2.0.0 ; python_version >= "3.12" and python_version < "4.0"
-charset-normalizer==3.4.6 ; python_version >= "3.12" and python_version < "4.0"
-click==8.3.1 ; python_version >= "3.12" and python_version < "4.0"
+charset-normalizer==3.4.7 ; python_version >= "3.12" and python_version < "4.0"
+click==8.3.2 ; python_version >= "3.12" and python_version < "4.0"
 cloud-sql-python-connector==1.11.0 ; python_version >= "3.12" and python_version < "4.0"
 colorama==0.4.6 ; python_version >= "3.12" and python_version < "4.0" and (platform_system == "Windows" or sys_platform == "win32")
 contourpy==1.3.3 ; python_version >= "3.12" and python_version < "4.0"
 crick==0.0.8 ; python_version >= "3.12" and python_version < "4.0"
-cryptography==46.0.5 ; python_version >= "3.12" and python_version < "4.0"
-cuda-bindings==12.9.4 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
-cuda-pathfinder==1.4.3 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
+cryptography==46.0.7 ; python_version >= "3.12" and python_version < "4.0"
+cuda-bindings==13.2.0 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux"
+cuda-pathfinder==1.5.3 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux"
+cuda-toolkit==13.0.2 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux"
 cycler==0.12.1 ; python_version >= "3.12" and python_version < "4.0"
 db-dtypes==1.1.1 ; python_version >= "3.12" and python_version < "4.0"
 decorator==5.2.1 ; python_version >= "3.12" and python_version < "4.0"
-docstring-parser==0.17.0 ; python_version >= "3.12" and python_version < "4.0"
+docstring-parser==0.18.0 ; python_version >= "3.12" and python_version < "4.0"
 fastapi==0.115.4 ; python_version >= "3.12" and python_version < "4.0"
-filelock==3.25.2 ; python_version >= "3.12" and python_version < "4.0"
+filelock==3.28.0 ; python_version >= "3.12" and python_version < "4.0"
 flask-admin==1.6.0 ; python_version >= "3.12" and python_version < "4.0"
 flask-httpauth==4.7.0 ; python_version >= "3.12" and python_version < "4.0"
 flask-wtf==1.2.2 ; python_version >= "3.12" and python_version < "4.0"
@@ -41,35 +42,35 @@ frozenlist==1.8.0 ; python_version >= "3.12" and python_version < "4.0"
 fsspec==2023.9.2 ; python_version >= "3.12" and python_version < "4.0"
 gcsfs==2023.9.2 ; python_version >= "3.12" and python_version < "4.0"
 google-api-core==2.25.2 ; python_version >= "3.14" and python_version < "4.0"
-google-api-core==2.30.0 ; python_version >= "3.12" and python_version < "3.14"
+google-api-core==2.30.3 ; python_version >= "3.12" and python_version < "3.14"
 google-api-python-client==2.127.0 ; python_version >= "3.12" and python_version < "4.0"
-google-auth-httplib2==0.3.0 ; python_version >= "3.12" and python_version < "4.0"
-google-auth-oauthlib==1.3.0 ; python_version >= "3.12" and python_version < "4.0"
-google-auth==2.49.1 ; python_version >= "3.12" and python_version < "4.0"
+google-auth-httplib2==0.3.1 ; python_version >= "3.12" and python_version < "4.0"
+google-auth-oauthlib==1.3.1 ; python_version >= "3.12" and python_version < "4.0"
+google-auth==2.49.2 ; python_version >= "3.12" and python_version < "4.0"
 google-cloud-bigquery-storage==2.19.1 ; python_version >= "3.12" and python_version < "4.0"
 google-cloud-bigquery==3.9.0 ; python_version >= "3.12" and python_version < "4.0"
-google-cloud-core==2.5.0 ; python_version >= "3.12" and python_version < "4.0"
+google-cloud-core==2.5.1 ; python_version >= "3.12" and python_version < "4.0"
 google-cloud-run==0.7.1 ; python_version >= "3.12" and python_version < "4.0"
 google-cloud-storage==2.16.0 ; python_version >= "3.12" and python_version < "4.0"
 google-crc32c==1.8.0 ; python_version >= "3.12" and python_version < "4.0"
-google-resumable-media==2.8.0 ; python_version >= "3.12" and python_version < "4.0"
-googleapis-common-protos==1.73.0 ; python_version >= "3.12" and python_version < "4.0"
-greenlet==3.3.2 ; python_version >= "3.12" and python_version < "4.0" and (platform_machine == "aarch64" or platform_machine == "ppc64le" or platform_machine == "x86_64" or platform_machine == "amd64" or platform_machine == "AMD64" or platform_machine == "win32" or platform_machine == "WIN32")
-grpc-google-iam-v1==0.14.3 ; python_version >= "3.12" and python_version < "4.0"
+google-resumable-media==2.8.2 ; python_version >= "3.12" and python_version < "4.0"
+googleapis-common-protos==1.74.0 ; python_version >= "3.12" and python_version < "4.0"
+greenlet==3.4.0 ; python_version >= "3.12" and python_version < "4.0" and (platform_machine == "aarch64" or platform_machine == "ppc64le" or platform_machine == "x86_64" or platform_machine == "amd64" or platform_machine == "AMD64" or platform_machine == "win32" or platform_machine == "WIN32")
+grpc-google-iam-v1==0.14.4 ; python_version >= "3.12" and python_version < "4.0"
 grpcio-status==1.62.3 ; python_version >= "3.12" and python_version < "4.0"
-grpcio==1.78.0 ; python_version >= "3.12" and python_version < "4.0"
+grpcio==1.80.0 ; python_version >= "3.12" and python_version < "4.0"
 gunicorn==22.0.0 ; python_version >= "3.12" and python_version < "4.0"
 h11==0.16.0 ; python_version >= "3.12" and python_version < "4.0"
 h5py==3.16.0 ; python_version >= "3.12" and python_version < "4.0"
-hf-xet==1.4.2 ; python_version >= "3.12" and python_version < "4.0" and (platform_machine == "x86_64" or platform_machine == "amd64" or platform_machine == "AMD64" or platform_machine == "arm64" or platform_machine == "aarch64")
+hf-xet==1.4.3 ; python_version >= "3.12" and python_version < "4.0" and (platform_machine == "x86_64" or platform_machine == "amd64" or platform_machine == "AMD64" or platform_machine == "arm64" or platform_machine == "aarch64")
 httpcore==1.0.9 ; python_version >= "3.12" and python_version < "4.0"
 httplib2==0.31.2 ; python_version >= "3.12" and python_version < "4.0"
 httptools==0.7.1 ; python_version >= "3.12" and python_version < "4.0"
 httpx==0.28.1 ; python_version >= "3.12" and python_version < "4.0"
-huggingface-hub==1.7.1 ; python_version >= "3.12" and python_version < "4.0"
+huggingface-hub==1.11.0 ; python_version >= "3.12" and python_version < "4.0"
 idna==3.11 ; python_version >= "3.12" and python_version < "4.0"
 importlib-metadata==9.0.0 ; python_version >= "3.12" and python_version < "4.0"
-importlib-resources==6.5.2 ; python_version >= "3.12" and python_version < "4.0"
+importlib-resources==7.1.0 ; python_version >= "3.12" and python_version < "4.0"
 iniconfig==2.3.0 ; python_version >= "3.12" and python_version < "4.0"
 itsdangerous==2.2.0 ; python_version >= "3.12" and python_version < "4.0"
 jinja2==3.1.6 ; python_version >= "3.12" and python_version < "4.0"
@@ -81,72 +82,69 @@ kiwisolver==1.5.0 ; python_version >= "3.12" and python_version < "4.0"
 legacy-api-wrap==1.5 ; python_version >= "3.12" and python_version < "4.0"
 lightning-utilities==0.15.3 ; python_version >= "3.12" and python_version < "4.0"
 lightning==2.3.0 ; python_version >= "3.12" and python_version < "4.0"
-llvmlite==0.46.0 ; python_version >= "3.12" and python_version < "4.0"
+llvmlite==0.47.0 ; python_version >= "3.12" and python_version < "4.0"
 mako==1.2.4 ; python_version >= "3.12" and python_version < "4.0"
 markdown-it-py==4.0.0 ; python_version >= "3.12" and python_version < "4.0"
 markupsafe==3.0.3 ; python_version >= "3.12" and python_version < "4.0"
 matplotlib==3.10.8 ; python_version >= "3.12" and python_version < "4.0"
 mdurl==0.1.2 ; python_version >= "3.12" and python_version < "4.0"
-more-itertools==10.8.0 ; python_version >= "3.12" and python_version < "4.0"
+more-itertools==11.0.2 ; python_version >= "3.12" and python_version < "4.0"
 mpmath==1.3.0 ; python_version >= "3.12" and python_version < "4.0"
 multidict==6.7.1 ; python_version >= "3.12" and python_version < "4.0"
 natsort==8.4.0 ; python_version >= "3.12" and python_version < "4.0"
 networkx==3.3 ; python_version >= "3.12" and python_version < "4.0"
-numba==0.64.0 ; python_version >= "3.12" and python_version < "4.0"
-numpy==1.26.4 ; python_version >= "3.12" and python_version < "4.0"
+numba==0.65.0 ; python_version >= "3.12" and python_version < "4.0"
+numpy==2.4.4 ; python_version >= "3.12" and python_version < "4.0"
 nvidia-cublas-cu12==12.1.3.1 ; python_version >= "3.12" and python_version < "4.0" and platform_system == "Linux" and platform_machine == "x86_64" and sys_platform == "darwin"
 nvidia-cublas-cu12==12.6.4.1 ; python_version >= "3.14" and python_version < "4.0" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
-nvidia-cublas-cu12==12.8.4.1 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
+nvidia-cublas==13.1.0.3 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux"
 nvidia-cuda-cupti-cu12==12.1.105 ; python_version >= "3.12" and python_version < "4.0" and platform_system == "Linux" and platform_machine == "x86_64" and sys_platform == "darwin"
 nvidia-cuda-cupti-cu12==12.6.80 ; python_version >= "3.14" and python_version < "4.0" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
-nvidia-cuda-cupti-cu12==12.8.90 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
+nvidia-cuda-cupti==13.0.85 ; python_version >= "3.12" and python_version < "3.14" and sys_platform == "win32" and platform_system == "Linux"
 nvidia-cuda-nvrtc-cu12==12.1.105 ; python_version >= "3.12" and python_version < "4.0" and platform_system == "Linux" and platform_machine == "x86_64" and sys_platform == "darwin"
 nvidia-cuda-nvrtc-cu12==12.6.77 ; python_version >= "3.14" and python_version < "4.0" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
-nvidia-cuda-nvrtc-cu12==12.8.93 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
+nvidia-cuda-nvrtc==13.0.88 ; python_version >= "3.12" and python_version < "3.14" and sys_platform == "win32" and platform_system == "Linux"
 nvidia-cuda-runtime-cu12==12.1.105 ; python_version >= "3.12" and python_version < "4.0" and platform_system == "Linux" and platform_machine == "x86_64" and sys_platform == "darwin"
 nvidia-cuda-runtime-cu12==12.6.77 ; python_version >= "3.14" and python_version < "4.0" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
-nvidia-cuda-runtime-cu12==12.8.90 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
-nvidia-cudnn-cu12==8.9.2.26 ; python_version >= "3.12" and python_version < "4.0" and platform_system == "Linux" and platform_machine == "x86_64" and sys_platform == "darwin"
-nvidia-cudnn-cu12==9.10.2.21 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
+nvidia-cuda-runtime==13.0.96 ; python_version >= "3.12" and python_version < "3.14" and sys_platform == "win32" and platform_system == "Linux"
+nvidia-cudnn-cu12==9.1.0.70 ; python_version >= "3.12" and python_version < "4.0" and platform_system == "Linux" and platform_machine == "x86_64" and sys_platform == "darwin"
 nvidia-cudnn-cu12==9.5.1.17 ; python_version >= "3.14" and python_version < "4.0" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
+nvidia-cudnn-cu13==9.19.0.56 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux"
 nvidia-cufft-cu12==11.0.2.54 ; python_version >= "3.12" and python_version < "4.0" and platform_system == "Linux" and platform_machine == "x86_64" and sys_platform == "darwin"
 nvidia-cufft-cu12==11.3.0.4 ; python_version >= "3.14" and python_version < "4.0" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
-nvidia-cufft-cu12==11.3.3.83 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
+nvidia-cufft==12.0.0.61 ; python_version >= "3.12" and python_version < "3.14" and sys_platform == "win32" and platform_system == "Linux"
 nvidia-cufile-cu12==1.11.1.6 ; python_version >= "3.14" and python_version < "4.0" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
-nvidia-cufile-cu12==1.13.1.3 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
 nvidia-curand-cu12==10.3.2.106 ; python_version >= "3.12" and python_version < "4.0" and platform_system == "Linux" and platform_machine == "x86_64" and sys_platform == "darwin"
 nvidia-curand-cu12==10.3.7.77 ; python_version >= "3.14" and python_version < "4.0" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
-nvidia-curand-cu12==10.3.9.90 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
+nvidia-curand==10.4.0.35 ; python_version >= "3.12" and python_version < "3.14" and sys_platform == "win32" and platform_system == "Linux"
 nvidia-cusolver-cu12==11.4.5.107 ; python_version >= "3.12" and python_version < "4.0" and platform_system == "Linux" and platform_machine == "x86_64" and sys_platform == "darwin"
 nvidia-cusolver-cu12==11.7.1.2 ; python_version >= "3.14" and python_version < "4.0" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
-nvidia-cusolver-cu12==11.7.3.90 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
+nvidia-cusolver==12.0.4.66 ; python_version >= "3.12" and python_version < "3.14" and sys_platform == "win32" and platform_system == "Linux"
 nvidia-cusparse-cu12==12.1.0.106 ; python_version >= "3.12" and python_version < "4.0" and platform_system == "Linux" and platform_machine == "x86_64" and sys_platform == "darwin"
 nvidia-cusparse-cu12==12.5.4.2 ; python_version >= "3.14" and python_version < "4.0" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
-nvidia-cusparse-cu12==12.5.8.93 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
+nvidia-cusparse==12.6.3.3 ; python_version >= "3.12" and python_version < "3.14" and sys_platform == "win32" and platform_system == "Linux"
 nvidia-cusparselt-cu12==0.6.3 ; python_version >= "3.14" and python_version < "4.0" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
-nvidia-cusparselt-cu12==0.7.1 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
-nvidia-nccl-cu12==2.19.3 ; python_version >= "3.12" and python_version < "4.0" and platform_system == "Linux" and platform_machine == "x86_64" and sys_platform == "darwin"
+nvidia-cusparselt-cu13==0.8.0 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux"
+nvidia-nccl-cu12==2.20.5 ; python_version >= "3.12" and python_version < "4.0" and platform_system == "Linux" and platform_machine == "x86_64" and sys_platform == "darwin"
 nvidia-nccl-cu12==2.26.2 ; python_version >= "3.14" and python_version < "4.0" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
-nvidia-nccl-cu12==2.27.5 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
-nvidia-nvjitlink-cu12==12.6.85 ; python_version >= "3.14" and python_version < "4.0" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
-nvidia-nvjitlink-cu12==12.8.93 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
-nvidia-nvjitlink-cu12==12.9.86 ; python_version >= "3.12" and python_version < "4.0" and platform_system == "Linux" and platform_machine == "x86_64" and sys_platform == "darwin"
-nvidia-nvshmem-cu12==3.4.5 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
+nvidia-nccl-cu13==2.28.9 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux"
+nvidia-nvjitlink-cu12==12.6.85 ; python_version >= "3.12" and python_version < "4.0" and platform_system == "Linux" and platform_machine == "x86_64" and (sys_platform == "darwin" or python_version >= "3.14") and sys_platform != "linux"
+nvidia-nvjitlink==13.0.88 ; python_version >= "3.12" and python_version < "3.14" and sys_platform == "win32" and platform_system == "Linux"
+nvidia-nvshmem-cu13==3.4.5 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux"
 nvidia-nvtx-cu12==12.1.105 ; python_version >= "3.12" and python_version < "4.0" and platform_system == "Linux" and platform_machine == "x86_64" and sys_platform == "darwin"
 nvidia-nvtx-cu12==12.6.77 ; python_version >= "3.14" and python_version < "4.0" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
-nvidia-nvtx-cu12==12.8.90 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
+nvidia-nvtx==13.0.85 ; python_version >= "3.12" and python_version < "3.14" and sys_platform == "win32" and platform_system == "Linux"
 oauthlib==3.3.1 ; python_version >= "3.12" and python_version < "4.0"
 opt-einsum==3.4.0 ; python_version >= "3.12" and python_version < "4.0"
-owlready2==0.46 ; python_version >= "3.12" and python_version < "4.0"
 packaging==24.2 ; python_version >= "3.12" and python_version < "4.0"
 pandas==2.2.3 ; python_version >= "3.12" and python_version < "4.0"
 patsy==1.0.2 ; python_version >= "3.12" and python_version < "4.0"
 pg8000==1.31.2 ; python_version >= "3.12" and python_version < "4.0"
-pillow==12.1.1 ; python_version >= "3.12" and python_version < "4.0"
+pillow==12.2.0 ; python_version >= "3.12" and python_version < "4.0"
 pluggy==1.6.0 ; python_version >= "3.12" and python_version < "4.0"
 propcache==0.4.1 ; python_version >= "3.12" and python_version < "4.0"
-proto-plus==1.27.1 ; python_version >= "3.12" and python_version < "4.0"
-protobuf==4.25.8 ; python_version >= "3.12" and python_version < "4.0"
+proto-plus==1.27.2 ; python_version >= "3.12" and python_version < "4.0"
+protobuf==4.25.9 ; python_version >= "3.12" and python_version < "4.0"
 pyarrow-hotfix==0.7 ; python_version >= "3.12" and python_version < "4.0"
 pyarrow==18.1.0 ; python_version >= "3.12" and python_version < "4.0"
 pyasn1-modules==0.4.2 ; python_version >= "3.12" and python_version < "4.0"
@@ -155,13 +153,13 @@ pycparser==3.0 ; python_version >= "3.12" and python_version < "4.0" and impleme
 pydantic-core==2.20.1 ; python_version >= "3.12" and python_version < "4.0"
 pydantic-settings==2.3.4 ; python_version >= "3.12" and python_version < "4.0"
 pydantic==2.8.2 ; python_version >= "3.12" and python_version < "4.0"
-pygments==2.19.2 ; python_version >= "3.12" and python_version < "4.0"
+pygments==2.20.0 ; python_version >= "3.12" and python_version < "4.0"
 pyjwt==2.6.0 ; python_version >= "3.12" and python_version < "4.0"
 pynndescent==0.6.0 ; python_version >= "3.12" and python_version < "4.0"
 pyparsing==3.3.2 ; python_version >= "3.12" and python_version < "4.0"
 pyro-api==0.1.2 ; python_version >= "3.12" and python_version < "4.0"
 pyro-ppl==1.9.1 ; python_version >= "3.12" and python_version < "4.0"
-pytest==9.0.2 ; python_version >= "3.12" and python_version < "4.0"
+pytest==9.0.3 ; python_version >= "3.12" and python_version < "4.0"
 python-dateutil==2.9.0.post0 ; python_version >= "3.12" and python_version < "4.0"
 python-dotenv==1.0.1 ; python_version >= "3.12" and python_version < "4.0"
 python-http-client==3.3.7 ; python_version >= "3.12" and python_version < "4.0"
@@ -170,20 +168,20 @@ pytorch-lightning==2.6.1 ; python_version >= "3.12" and python_version < "4.0"
 pytz==2026.1.post1 ; python_version >= "3.12" and python_version < "4.0"
 pyyaml==6.0.3 ; python_version >= "3.12" and python_version < "4.0"
 referencing==0.37.0 ; python_version >= "3.12" and python_version < "4.0"
-regex==2026.2.28 ; python_version >= "3.12" and python_version < "4.0"
+regex==2026.4.4 ; python_version >= "3.12" and python_version < "4.0"
 requests-oauthlib==2.0.0 ; python_version >= "3.12" and python_version < "4.0"
 requests==2.31.0 ; python_version >= "3.12" and python_version < "4.0"
-rich==14.3.3 ; python_version >= "3.12" and python_version < "4.0"
+rich==15.0.0 ; python_version >= "3.12" and python_version < "4.0"
 rpds-py==0.30.0 ; python_version >= "3.12" and python_version < "4.0"
 safetensors==0.7.0 ; python_version >= "3.12" and python_version < "4.0"
 scanpy==1.11.5 ; python_version >= "3.12" and python_version < "4.0"
-scikit-learn==1.4.2 ; python_version >= "3.12" and python_version < "4.0"
-scipy==1.13.0 ; python_version >= "3.12" and python_version < "4.0"
+scikit-learn==1.8.0 ; python_version >= "3.12" and python_version < "4.0"
+scipy==1.17.1 ; python_version >= "3.12" and python_version < "4.0"
 scramp==1.4.8 ; python_version >= "3.12" and python_version < "4.0"
 seaborn==0.13.2 ; python_version >= "3.12" and python_version < "4.0"
 sendgrid==6.11.0 ; python_version >= "3.12" and python_version < "4.0"
 sentry-sdk==1.39.2 ; python_version >= "3.12" and python_version < "4.0"
-session-info2==0.4 ; python_version >= "3.12" and python_version < "4.0"
+session-info2==0.4.1 ; python_version >= "3.12" and python_version < "4.0"
 setuptools==81.0.0 ; python_version >= "3.12" and python_version < "4.0"
 shapely==2.1.2 ; python_version >= "3.12" and python_version < "4.0"
 shellingham==1.5.4 ; python_version >= "3.12" and python_version < "4.0"
@@ -200,27 +198,28 @@ sympy==1.14.0 ; python_version >= "3.12" and python_version < "4.0"
 tblib==3.2.2 ; python_version >= "3.12" and python_version < "4.0"
 tenacity==8.2.3 ; python_version >= "3.12" and python_version < "4.0"
 threadpoolctl==3.6.0 ; python_version >= "3.12" and python_version < "4.0"
-tiledb-cloud==0.14.3 ; python_version >= "3.12" and python_version < "4.0"
+tiledb-cloud==0.14.4 ; python_version >= "3.12" and python_version < "4.0"
 tiledb-vector-search==0.16.0 ; python_version >= "3.12" and python_version < "4.0"
 tiledb==0.36.1 ; python_version >= "3.12" and python_version < "4.0"
 tiledbsoma==2.3.0 ; python_version >= "3.12" and python_version < "4.0"
 tokenizers==0.22.2 ; python_version >= "3.12" and python_version < "4.0"
-torch==2.10.0 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux"
-torch==2.2.2 ; python_version >= "3.12" and python_version < "4.0" and sys_platform == "darwin"
-torch==2.2.2+cpu ; python_version >= "3.12" and python_version < "4.0" and sys_platform == "linux"
+torch==2.11.0 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux"
+torch==2.4.1 ; python_version >= "3.12" and python_version < "4.0" and sys_platform == "darwin"
+torch==2.4.1+cpu ; python_version >= "3.12" and python_version < "4.0" and sys_platform == "linux"
 torch==2.7.1 ; python_version >= "3.14" and python_version < "4.0" and sys_platform != "darwin" and sys_platform != "linux"
 torchmetrics==1.9.0 ; python_version >= "3.12" and python_version < "4.0"
 tqdm==4.67.3 ; python_version >= "3.12" and python_version < "4.0"
-transformers==5.3.0 ; python_version >= "3.12" and python_version < "4.0"
+transformers==5.5.4 ; python_version >= "3.12" and python_version < "4.0"
+triton==3.0.0 ; python_version == "3.12" and platform_system == "Linux" and platform_machine == "x86_64" and sys_platform == "darwin"
 triton==3.3.1 ; python_version >= "3.14" and python_version < "4.0" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
-triton==3.6.0 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux" and platform_machine == "x86_64"
+triton==3.6.0 ; python_version >= "3.12" and python_version < "3.14" and sys_platform != "darwin" and sys_platform != "linux" and platform_system == "Linux"
 typer==0.24.1 ; python_version >= "3.12" and python_version < "4.0"
 typeshed-client==2.9.0 ; python_version >= "3.12" and python_version < "4.0"
 typing-extensions==4.15.0 ; python_version >= "3.12" and python_version < "4.0"
-tzdata==2025.3 ; python_version >= "3.12" and python_version < "4.0"
-umap-learn==0.5.7 ; python_version >= "3.12" and python_version < "4.0"
+tzdata==2026.1 ; python_version >= "3.12" and python_version < "4.0"
+umap-learn==0.5.12 ; python_version >= "3.12" and python_version < "4.0"
 uritemplate==4.2.0 ; python_version >= "3.12" and python_version < "4.0"
-urllib3==2.6.3 ; python_version >= "3.12" and python_version < "4.0"
+urllib3==2.5.0 ; python_version >= "3.12" and python_version < "4.0"
 uvicorn==0.29.0 ; python_version >= "3.12" and python_version < "4.0"
 uvloop==0.22.1 ; python_version >= "3.12" and python_version < "4.0" and platform_python_implementation != "PyPy" and sys_platform != "win32" and sys_platform != "cygwin"
 watchfiles==1.1.1 ; python_version >= "3.12" and python_version < "4.0"
@@ -229,4 +228,4 @@ werkzeug==3.0.6 ; python_version >= "3.12" and python_version < "4.0"
 wrapt==2.1.2 ; python_version >= "3.12" and python_version < "4.0"
 wtforms==3.1.2 ; python_version >= "3.12" and python_version < "4.0"
 yarl==1.23.0 ; python_version >= "3.12" and python_version < "4.0"
-zipp==3.23.0 ; python_version >= "3.12" and python_version < "4.0"
+zipp==3.23.1 ; python_version >= "3.12" and python_version < "4.0"
diff --git a/docs/source/index.rst b/docs/source/index.rst
index d9a4e550..76bd467a 100644
--- a/docs/source/index.rst
+++ b/docs/source/index.rst
@@ -20,6 +20,7 @@ Operations Guides
 .. toctree::
    :maxdepth: 1
 
+   modules/scripts
    modules/running_locally
    modules/deploying_in_cloud
    modules/cicd
diff --git a/docs/source/modules/scripts.rst b/docs/source/modules/scripts.rst
new file mode 100644
index 00000000..be7813e1
--- /dev/null
+++ b/docs/source/modules/scripts.rst
@@ -0,0 +1 @@
+.. include:: ../../../scripts/README.rst
diff --git a/poetry.lock b/poetry.lock
index 4d3e7f01..25cd9703 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -196,14 +196,14 @@ files = [
 
 [[package]]
 name = "anyio"
-version = "4.12.1"
+version = "4.13.0"
 description = "High-level concurrency and networking framework on top of asyncio or Trio"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 groups = ["main"]
 files = [
-    {file = "anyio-4.12.1-py3-none-any.whl", hash = "sha256:d405828884fc140aa80a3c667b8beed277f1dfedec42ba031bd6ac3db606ab6c"},
-    {file = "anyio-4.12.1.tar.gz", hash = "sha256:41cfcc3a4c85d3f05c932da7c26d0201ac36f72abd4435ba90d0464a3ffed703"},
+    {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"},
+    {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"},
 ]
 
 [package.dependencies]
@@ -211,7 +211,7 @@ idna = ">=2.8"
 typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
 
 [package.extras]
-trio = ["trio (>=0.31.0) ; python_version < \"3.10\"", "trio (>=0.32.0) ; python_version >= \"3.10\""]
+trio = ["trio (>=0.32.0)"]
 
 [[package]]
 name = "argon2-cffi"
@@ -557,153 +557,153 @@ pycparser = {version = "*", markers = "implementation_name != \"PyPy\""}
 
 [[package]]
 name = "charset-normalizer"
-version = "3.4.6"
+version = "3.4.7"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
 optional = false
 python-versions = ">=3.7"
 groups = ["main", "dev", "docs", "test"]
 files = [
-    {file = "charset_normalizer-3.4.6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:2e1d8ca8611099001949d1cdfaefc510cf0f212484fe7c565f735b68c78c3c95"},
-    {file = "charset_normalizer-3.4.6-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e25369dc110d58ddf29b949377a93e0716d72a24f62bad72b2b39f155949c1fd"},
-    {file = "charset_normalizer-3.4.6-cp310-cp310-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:259695e2ccc253feb2a016303543d691825e920917e31f894ca1a687982b1de4"},
-    {file = "charset_normalizer-3.4.6-cp310-cp310-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:dda86aba335c902b6149a02a55b38e96287157e609200811837678214ba2b1db"},
-    {file = "charset_normalizer-3.4.6-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:51fb3c322c81d20567019778cb5a4a6f2dc1c200b886bc0d636238e364848c89"},
-    {file = "charset_normalizer-3.4.6-cp310-cp310-manylinux_2_31_armv7l.whl", hash = "sha256:4482481cb0572180b6fd976a4d5c72a30263e98564da68b86ec91f0fe35e8565"},
-    {file = "charset_normalizer-3.4.6-cp310-cp310-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:39f5068d35621da2881271e5c3205125cc456f54e9030d3f723288c873a71bf9"},
-    {file = "charset_normalizer-3.4.6-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:8bea55c4eef25b0b19a0337dc4e3f9a15b00d569c77211fa8cde38684f234fb7"},
-    {file = "charset_normalizer-3.4.6-cp310-cp310-musllinux_1_2_armv7l.whl", hash = "sha256:f0cdaecd4c953bfae0b6bb64910aaaca5a424ad9c72d85cb88417bb9814f7550"},
-    {file = "charset_normalizer-3.4.6-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:150b8ce8e830eb7ccb029ec9ca36022f756986aaaa7956aad6d9ec90089338c0"},
-    {file = "charset_normalizer-3.4.6-cp310-cp310-musllinux_1_2_riscv64.whl", hash = "sha256:e68c14b04827dd76dcbd1aeea9e604e3e4b78322d8faf2f8132c7138efa340a8"},
-    {file = "charset_normalizer-3.4.6-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:3778fd7d7cd04ae8f54651f4a7a0bd6e39a0cf20f801720a4c21d80e9b7ad6b0"},
-    {file = "charset_normalizer-3.4.6-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:dad6e0f2e481fffdcf776d10ebee25e0ef89f16d691f1e5dee4b586375fdc64b"},
-    {file = "charset_normalizer-3.4.6-cp310-cp310-win32.whl", hash = "sha256:74a2e659c7ecbc73562e2a15e05039f1e22c75b7c7618b4b574a3ea9118d1557"},
-    {file = "charset_normalizer-3.4.6-cp310-cp310-win_amd64.whl", hash = "sha256:aa9cccf4a44b9b62d8ba8b4dd06c649ba683e4bf04eea606d2e94cfc2d6ff4d6"},
-    {file = "charset_normalizer-3.4.6-cp310-cp310-win_arm64.whl", hash = "sha256:e985a16ff513596f217cee86c21371b8cd011c0f6f056d0920aa2d926c544058"},
-    {file = "charset_normalizer-3.4.6-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:82060f995ab5003a2d6e0f4ad29065b7672b6593c8c63559beefe5b443242c3e"},
-    {file = "charset_normalizer-3.4.6-cp311-cp311-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:60c74963d8350241a79cb8feea80e54d518f72c26db618862a8f53e5023deaf9"},
-    {file = "charset_normalizer-3.4.6-cp311-cp311-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:f6e4333fb15c83f7d1482a76d45a0818897b3d33f00efd215528ff7c51b8e35d"},
-    {file = "charset_normalizer-3.4.6-cp311-cp311-manylinux2014_s390x.manylinux_2_17_s390x.manylinux_2_28_s390x.whl", hash = "sha256:bc72863f4d9aba2e8fd9085e63548a324ba706d2ea2c83b260da08a59b9482de"},
-    {file = "charset_normalizer-3.4.6-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9cc4fc6c196d6a8b76629a70ddfcd4635a6898756e2d9cac5565cf0654605d73"},
-    {file = "charset_normalizer-3.4.6-cp311-cp311-manylinux_2_31_armv7l.whl", hash = "sha256:0c173ce3a681f309f31b87125fecec7a5d1347261ea11ebbb856fa6006b23c8c"},
-    {file = "charset_normalizer-3.4.6-cp311-cp311-manylinux_2_31_riscv64.manylinux_2_39_riscv64.whl", hash = "sha256:c907cdc8109f6c619e6254212e794d6548373cc40e1ec75e6e3823d9135d29cc"},
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 ]
 
 [[package]]
 name = "click"
-version = "8.3.1"
+version = "8.3.2"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.10"
-groups = ["main", "test"]
+groups = ["main", "scripts", "test"]
 files = [
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 ]
 
 [package.dependencies]
@@ -739,12 +739,12 @@ version = "0.4.6"
 description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
-groups = ["main", "dev", "docs", "test"]
+groups = ["main", "dev", "docs", "scripts", "test"]
 files = [
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 ]
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+markers = {main = "platform_system == \"Windows\" or sys_platform == \"win32\"", dev = "sys_platform == \"win32\"", docs = "sys_platform == \"win32\"", scripts = "platform_system == \"Windows\"", test = "platform_system == \"Windows\" or sys_platform == \"win32\""}
 
 [[package]]
 name = "contourpy"
@@ -998,61 +998,61 @@ files = [
 
 [[package]]
 name = "cryptography"
-version = "46.0.5"
+version = "46.0.7"
 description = "cryptography is a package which provides cryptographic recipes and primitives to Python developers."
 optional = false
 python-versions = "!=3.9.0,!=3.9.1,>=3.8"
 groups = ["main"]
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 test-randomorder = ["pytest-randomly"]
 
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+markers = "sys_platform != \"darwin\" and sys_platform != \"linux\" and python_version < \"3.14\" and platform_system == \"Linux\""
+files = [
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 ]
 
 [package.dependencies]
 cuda-pathfinder = ">=1.1,<2.0"
 
 [package.extras]
-all = ["nvidia-cuda-nvcc-cu12", "nvidia-cuda-nvrtc-cu12", "nvidia-cufile-cu12 ; sys_platform == \"linux\"", "nvidia-nvjitlink-cu12 (>=12.3)"]
-test = ["cython (>=3.1,<3.2)", "numpy (>=1.21.1)", "pyglet (>=2.1.9)", "pytest (>=6.2.4)", "pytest-benchmark (>=3.4.1)", "setuptools (>=77.0.0)"]
+all = ["cuda-toolkit[cufile] (==13.*) ; sys_platform == \"linux\"", "cuda-toolkit[nvfatbin,nvjitlink,nvrtc,nvvm] (==13.*)"]
 
 [[package]]
 name = "cuda-pathfinder"
-version = "1.4.3"
+version = "1.5.3"
 description = "Pathfinder for CUDA components"
 optional = false
 python-versions = ">=3.10"
 groups = ["main"]
-markers = "sys_platform != \"darwin\" and sys_platform != \"linux\" and python_version < \"3.14\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "sys_platform != \"darwin\" and sys_platform != \"linux\" and python_version < \"3.14\" and platform_system == \"Linux\""
 files = [
-    {file = "cuda_pathfinder-1.4.3-py3-none-any.whl", hash = "sha256:4345d8ead1f701c4fb8a99be6bc1843a7348b6ba0ef3b031f5a2d66fb128ae4c"},
+    {file = "cuda_pathfinder-1.5.3-py3-none-any.whl", hash = "sha256:dff021123aedbb4117cc7ec81717bbfe198fb4e8b5f1ee57e0e084fec5c8577d"},
 ]
 
+[[package]]
+name = "cuda-toolkit"
+version = "13.0.2"
+description = "CUDA Toolkit meta-package"
+optional = false
+python-versions = "*"
+groups = ["main"]
+markers = "sys_platform != \"darwin\" and sys_platform != \"linux\" and python_version < \"3.14\" and platform_system == \"Linux\""
+files = [
+    {file = "cuda_toolkit-13.0.2-py2.py3-none-any.whl", hash = "sha256:b198824cf2f54003f50d64ada3a0f184b42ca0846c1c94192fa269ecd97a66eb"},
+]
+
+[package.dependencies]
+nvidia-cublas = {version = "==13.1.0.3.*", optional = true, markers = "(sys_platform == \"linux\" or sys_platform == \"win32\") and extra == \"cublas\""}
+nvidia-cuda-cupti = {version = "==13.0.85.*", optional = true, markers = "(sys_platform == \"linux\" or sys_platform == \"win32\") and extra == \"cupti\""}
+nvidia-cuda-nvrtc = {version = "==13.0.88.*", optional = true, markers = "(sys_platform == \"linux\" or sys_platform == \"win32\") and extra == \"nvrtc\""}
+nvidia-cuda-runtime = {version = "==13.0.96.*", optional = true, markers = "(sys_platform == \"linux\" or sys_platform == \"win32\") and extra == \"cudart\""}
+nvidia-cufft = {version = "==12.0.0.61.*", optional = true, markers = "(sys_platform == \"linux\" or sys_platform == \"win32\") and extra == \"cufft\""}
+nvidia-cufile = {version = "==1.15.1.6.*", optional = true, markers = "sys_platform == \"linux\" and extra == \"cufile\""}
+nvidia-curand = {version = "==10.4.0.35.*", optional = true, markers = "(sys_platform == \"linux\" or sys_platform == \"win32\") and extra == \"curand\""}
+nvidia-cusolver = {version = "==12.0.4.66.*", optional = true, markers = "(sys_platform == \"linux\" or sys_platform == \"win32\") and extra == \"cusolver\""}
+nvidia-cusparse = {version = "==12.6.3.3.*", optional = true, markers = "(sys_platform == \"linux\" or sys_platform == \"win32\") and extra == \"cusparse\""}
+nvidia-nvjitlink = {version = "==13.0.88.*", optional = true, markers = "(sys_platform == \"linux\" or sys_platform == \"win32\") and extra == \"nvjitlink\""}
+nvidia-nvtx = {version = "==13.0.85.*", optional = true, markers = "(sys_platform == \"linux\" or sys_platform == \"win32\") and extra == \"nvtx\""}
+
+[package.extras]
+all = ["nvidia-cublas (==13.1.0.3.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-cuda-cccl (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-cuda-crt (==13.0.88.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-cuda-culibos (==13.0.85.*) ; sys_platform == \"linux\"", "nvidia-cuda-cupti (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-cuda-cuxxfilt (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-cuda-nvcc (==13.0.88.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-cuda-nvrtc (==13.0.88.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-cuda-opencl (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-cuda-profiler-api (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-cuda-runtime (==13.0.96.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-cuda-sanitizer-api (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-cufft (==12.0.0.61.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-cufile (==1.15.1.6.*) ; sys_platform == \"linux\"", "nvidia-curand (==10.4.0.35.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-cusolver (==12.0.4.66.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-cusparse (==12.6.3.3.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-npp (==13.0.1.2.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-nvfatbin (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-nvjitlink (==13.0.88.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-nvjpeg (==13.0.1.86.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-nvml-dev (==13.0.87.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-nvptxcompiler (==13.0.88.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-nvtx (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\"", "nvidia-nvvm (==13.0.88.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""]
+cccl = ["nvidia-cuda-cccl (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""]
+crt = ["nvidia-cuda-crt (==13.0.88.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""]
+cublas = ["nvidia-cublas (==13.1.0.3.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""]
+cudart = ["nvidia-cuda-runtime (==13.0.96.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""]
+cufft = ["nvidia-cufft (==12.0.0.61.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""]
+cufile = ["nvidia-cufile (==1.15.1.6.*) ; sys_platform == \"linux\""]
+culibos = ["nvidia-cuda-culibos (==13.0.85.*) ; sys_platform == \"linux\""]
+cupti = ["nvidia-cuda-cupti (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""]
+curand = ["nvidia-curand (==10.4.0.35.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""]
+cusolver = ["nvidia-cusolver (==12.0.4.66.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""]
+cusparse = ["nvidia-cusparse (==12.6.3.3.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""]
+cuxxfilt = ["nvidia-cuda-cuxxfilt (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""]
+npp = ["nvidia-npp (==13.0.1.2.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""]
+nvcc = ["nvidia-cuda-nvcc (==13.0.88.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""]
+nvfatbin = ["nvidia-nvfatbin (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""]
+nvjitlink = ["nvidia-nvjitlink (==13.0.88.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""]
+nvjpeg = ["nvidia-nvjpeg (==13.0.1.86.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""]
+nvml = ["nvidia-nvml-dev (==13.0.87.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""]
+nvptxcompiler = ["nvidia-nvptxcompiler (==13.0.88.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""]
+nvrtc = ["nvidia-cuda-nvrtc (==13.0.88.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""]
+nvtx = ["nvidia-nvtx (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""]
+nvvm = ["nvidia-nvvm (==13.0.88.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""]
+opencl = ["nvidia-cuda-opencl (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""]
+profiler = ["nvidia-cuda-profiler-api (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""]
+sanitizer = ["nvidia-cuda-sanitizer-api (==13.0.85.*) ; sys_platform == \"linux\" or sys_platform == \"win32\""]
+
 [[package]]
 name = "cycler"
 version = "0.12.1"
@@ -1289,14 +1335,14 @@ profile = ["gprof2dot (>=2022.7.29)"]
 
 [[package]]
 name = "docstring-parser"
-version = "0.17.0"
+version = "0.18.0"
 description = "Parse Python docstrings in reST, Google and Numpydoc format"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 files = [
-    {file = "docstring_parser-0.17.0-py3-none-any.whl", hash = "sha256:cf2569abd23dce8099b300f9b4fa8191e9582dda731fd533daf54c4551658708"},
-    {file = "docstring_parser-0.17.0.tar.gz", hash = "sha256:583de4a309722b3315439bb31d64ba3eebada841f2e2cee23b99df001434c912"},
+    {file = "docstring_parser-0.18.0-py3-none-any.whl", hash = "sha256:b3fcbed555c47d8479be0796ef7e19c2670d428d72e96da63f3a40122860374b"},
+    {file = "docstring_parser-0.18.0.tar.gz", hash = "sha256:292510982205c12b1248696f44959db3cdd1740237a968ea1e2e7a900eeb2015"},
 ]
 
 [package.extras]
@@ -1339,14 +1385,14 @@ standard = ["email-validator (>=2.0.0)", "fastapi-cli[standard] (>=0.0.5)", "htt
 
 [[package]]
 name = "filelock"
-version = "3.25.2"
+version = "3.28.0"
 description = "A platform independent file lock."
 optional = false
 python-versions = ">=3.10"
 groups = ["main", "dev"]
 files = [
-    {file = "filelock-3.25.2-py3-none-any.whl", hash = "sha256:ca8afb0da15f229774c9ad1b455ed96e85a81373065fb10446672f64444ddf70"},
-    {file = "filelock-3.25.2.tar.gz", hash = "sha256:b64ece2b38f4ca29dd3e810287aa8c48182bbecd1ae6e9ae126c9b35f1382694"},
+    {file = "filelock-3.28.0-py3-none-any.whl", hash = "sha256:de9af6712788e7171df1b28b15eba2446c69721433fa427a9bee07b17820a9db"},
+    {file = "filelock-3.28.0.tar.gz", hash = "sha256:4ed1010aae813c4ee8d9c660e4792475ee60c4a0ba76073ceaf862bd317e3ca6"},
 ]
 
 [[package]]
@@ -1733,27 +1779,27 @@ grpcio-gcp = ["grpcio-gcp (>=0.2.2,<1.0.0)"]
 
 [[package]]
 name = "google-api-core"
-version = "2.30.0"
+version = "2.30.3"
 description = "Google API client core library"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 markers = "python_version < \"3.14\""
 files = [
-    {file = "google_api_core-2.30.0-py3-none-any.whl", hash = "sha256:80be49ee937ff9aba0fd79a6eddfde35fe658b9953ab9b79c57dd7061afa8df5"},
-    {file = "google_api_core-2.30.0.tar.gz", hash = "sha256:02edfa9fab31e17fc0befb5f161b3bf93c9096d99aed584625f38065c511ad9b"},
+    {file = "google_api_core-2.30.3-py3-none-any.whl", hash = "sha256:a85761ba72c444dad5d611c2220633480b2b6be2521eca69cca2dbb3ffd6bfe8"},
+    {file = "google_api_core-2.30.3.tar.gz", hash = "sha256:e601a37f148585319b26db36e219df68c5d07b6382cff2d580e83404e44d641b"},
 ]
 
 [package.dependencies]
 google-auth = ">=2.14.1,<3.0.0"
-googleapis-common-protos = ">=1.56.3,<2.0.0"
+googleapis-common-protos = ">=1.63.2,<2.0.0"
 grpcio = {version = ">=1.49.1,<2.0.0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\" and python_version < \"3.14\""}
 grpcio-status = {version = ">=1.49.1,<2.0.0", optional = true, markers = "python_version >= \"3.11\" and extra == \"grpc\""}
 proto-plus = [
     {version = ">=1.25.0,<2.0.0", markers = "python_version >= \"3.13\""},
     {version = ">=1.22.3,<2.0.0"},
 ]
-protobuf = ">=4.25.8,<7.0.0"
+protobuf = ">=4.25.8,<8.0.0"
 requests = ">=2.20.0,<3.0.0"
 
 [package.extras]
@@ -1781,14 +1827,14 @@ uritemplate = ">=3.0.1,<5"
 
 [[package]]
 name = "google-auth"
-version = "2.49.1"
+version = "2.49.2"
 description = "Google Authentication Library"
 optional = false
 python-versions = ">=3.8"
 groups = ["main"]
 files = [
-    {file = "google_auth-2.49.1-py3-none-any.whl", hash = "sha256:195ebe3dca18eddd1b3db5edc5189b76c13e96f29e73043b923ebcf3f1a860f7"},
-    {file = "google_auth-2.49.1.tar.gz", hash = "sha256:16d40da1c3c5a0533f57d268fe72e0ebb0ae1cc3b567024122651c045d879b64"},
+    {file = "google_auth-2.49.2-py3-none-any.whl", hash = "sha256:c2720924dfc82dedb962c9f52cabb2ab16714fd0a6a707e40561d217574ed6d5"},
+    {file = "google_auth-2.49.2.tar.gz", hash = "sha256:c1ae38500e73065dcae57355adb6278cf8b5c8e391994ae9cbadbcb9631ab409"},
 ]
 
 [package.dependencies]
@@ -1809,14 +1855,14 @@ urllib3 = ["packaging", "urllib3"]
 
 [[package]]
 name = "google-auth-httplib2"
-version = "0.3.0"
+version = "0.3.1"
 description = "Google Authentication Library: httplib2 transport"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
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+    {file = "google_auth_httplib2-0.3.1-py3-none-any.whl", hash = "sha256:682356a90ef4ba3d06548c37e9112eea6fc00395a11b0303a644c1a86abc275c"},
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 ]
 
 [package.dependencies]
@@ -1825,14 +1871,14 @@ httplib2 = ">=0.19.0,<1.0.0"
 
 [[package]]
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-version = "1.3.0"
+version = "1.3.1"
 description = "Google Authentication Library"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
@@ -1899,19 +1945,19 @@ pyarrow = ["pyarrow (>=0.15.0)"]
 
 [[package]]
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-version = "2.5.0"
+version = "2.5.1"
 description = "Google Cloud API client core library"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.9"
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-google-auth = ">=1.25.0,<3.0.0"
+google-api-core = ">=2.11.0,<3.0.0"
+google-auth = ">=2.14.1,<2.24.0 || >2.24.0,<2.25.0 || >2.25.0,<3.0.0"
 
 [package.extras]
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@@ -2002,14 +2048,14 @@ files = [
 
 [[package]]
 name = "google-resumable-media"
-version = "2.8.0"
+version = "2.8.2"
 description = "Utilities for Google Media Downloads and Resumable Uploads"
 optional = false
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+python-versions = ">=3.9"
 groups = ["main"]
 files = [
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 ]
 
 [package.dependencies]
@@ -2021,85 +2067,91 @@ requests = ["requests (>=2.18.0,<3.0.0)"]
 
 [[package]]
 name = "googleapis-common-protos"
-version = "1.73.0"
+version = "1.74.0"
 description = "Common protobufs used in Google APIs"
 optional = false
-python-versions = ">=3.7"
+python-versions = ">=3.9"
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 files = [
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+protobuf = ">=4.25.8,<8.0.0"
 
 [package.extras]
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 [package.dependencies]
 typing-extensions = ">=4.12,<5.0"
 
 [package.extras]
-protobuf = ["grpcio-tools (>=1.78.0)"]
+protobuf = ["grpcio-tools (>=1.80.0)"]
 
 [[package]]
 name = "grpcio-status"
@@ -2314,38 +2366,38 @@ numpy = ">=1.21.2"
 
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 [[package]]
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 [[package]]
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-type = ["pytest-mypy"]
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 [[package]]
 name = "iniconfig"
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 [[package]]
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-version = "2.0.3"
+version = "2.0.4"
 description = "Spying framework"
 optional = false
 python-versions = ">=3.8"
 groups = ["test"]
 files = [
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 [[package]]
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 description = "Python package for creating and manipulating graphs and networks"
 optional = false
 python-versions = ">=3.10"
-groups = ["main"]
+groups = ["main", "scripts"]
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 [[package]]
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 description = "compiling Python code using LLVM"
 optional = false
 python-versions = ">=3.10"
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+[package.dependencies]
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 numpy = ">=1.22,<2.5"
 
 [[package]]
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+version = "2.4.4"
 description = "Fundamental package for array computing in Python"
 optional = false
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+]
+
+[[package]]
+name = "nvidia-cublas"
+version = "13.1.0.3"
+description = "CUBLAS native runtime libraries"
+optional = false
+python-versions = ">=3"
+groups = ["main"]
+markers = "sys_platform != \"darwin\" and sys_platform != \"linux\" and python_version < \"3.14\" and platform_system == \"Linux\""
+files = [
+    {file = "nvidia_cublas-13.1.0.3-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:c86fc7f7ae36d7528288c5d88098edcb7b02c633d262e7ddbb86b0ad91be5df2"},
+    {file = "nvidia_cublas-13.1.0.3-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:ee8722c1f0145ab246bccb9e452153b5e0515fd094c3678df50b2a0888b8b171"},
+    {file = "nvidia_cublas-13.1.0.3-py3-none-win_amd64.whl", hash = "sha256:2a3b94a37def342471c59fad7856caee4926809a72dd5270155d6a31b5b277be"},
 ]
 
 [[package]]
@@ -3692,17 +3803,17 @@ files = [
 ]
 
 [[package]]
-name = "nvidia-cublas-cu12"
-version = "12.8.4.1"
-description = "CUBLAS native runtime libraries"
+name = "nvidia-cuda-cupti"
+version = "13.0.85"
+description = "CUDA profiling tools runtime libs."
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "sys_platform != \"darwin\" and sys_platform != \"linux\" and python_version < \"3.14\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "sys_platform == \"win32\" and python_version < \"3.14\" and platform_system == \"Linux\""
 files = [
-    {file = "nvidia_cublas_cu12-12.8.4.1-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:b86f6dd8935884615a0683b663891d43781b819ac4f2ba2b0c9604676af346d0"},
-    {file = "nvidia_cublas_cu12-12.8.4.1-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:8ac4e771d5a348c551b2a426eda6193c19aa630236b418086020df5ba9667142"},
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+    {file = "nvidia_cuda_cupti-13.0.85-py3-none-manylinux_2_25_aarch64.whl", hash = "sha256:796bd679890ee55fb14a94629b698b6db54bcfd833d391d5e94017dd9d7d3151"},
+    {file = "nvidia_cuda_cupti-13.0.85-py3-none-manylinux_2_25_x86_64.whl", hash = "sha256:4eb01c08e859bf924d222250d2e8f8b8ff6d3db4721288cf35d14252a4d933c8"},
+    {file = "nvidia_cuda_cupti-13.0.85-py3-none-win_amd64.whl", hash = "sha256:683f58d301548deeefcb8f6fac1b8d907691b9d8b18eccab417f51e362102f00"},
 ]
 
 [[package]]
@@ -3735,17 +3846,17 @@ files = [
 ]
 
 [[package]]
-name = "nvidia-cuda-cupti-cu12"
-version = "12.8.90"
-description = "CUDA profiling tools runtime libs."
+name = "nvidia-cuda-nvrtc"
+version = "13.0.88"
+description = "NVRTC native runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "sys_platform != \"darwin\" and sys_platform != \"linux\" and python_version < \"3.14\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "sys_platform == \"win32\" and python_version < \"3.14\" and platform_system == \"Linux\""
 files = [
-    {file = "nvidia_cuda_cupti_cu12-12.8.90-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:4412396548808ddfed3f17a467b104ba7751e6b58678a4b840675c56d21cf7ed"},
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+    {file = "nvidia_cuda_nvrtc-13.0.88-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:ad9b6d2ead2435f11cbb6868809d2adeeee302e9bb94bcf0539c7a40d80e8575"},
+    {file = "nvidia_cuda_nvrtc-13.0.88-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d27f20a0ca67a4bb34268a5e951033496c5b74870b868bacd046b1b8e0c3267b"},
+    {file = "nvidia_cuda_nvrtc-13.0.88-py3-none-win_amd64.whl", hash = "sha256:6bcd4e7f8e205cbe644f5a98f2f799bef9556fefc89dd786e79a16312ce49872"},
 ]
 
 [[package]]
@@ -3776,17 +3887,17 @@ files = [
 ]
 
 [[package]]
-name = "nvidia-cuda-nvrtc-cu12"
-version = "12.8.93"
-description = "NVRTC native runtime libraries"
+name = "nvidia-cuda-runtime"
+version = "13.0.96"
+description = "CUDA Runtime native Libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "sys_platform != \"darwin\" and sys_platform != \"linux\" and python_version < \"3.14\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "sys_platform == \"win32\" and python_version < \"3.14\" and platform_system == \"Linux\""
 files = [
-    {file = "nvidia_cuda_nvrtc_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:a7756528852ef889772a84c6cd89d41dfa74667e24cca16bb31f8f061e3e9994"},
-    {file = "nvidia_cuda_nvrtc_cu12-12.8.93-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:fc1fec1e1637854b4c0a65fb9a8346b51dd9ee69e61ebaccc82058441f15bce8"},
-    {file = "nvidia_cuda_nvrtc_cu12-12.8.93-py3-none-win_amd64.whl", hash = "sha256:7a4b6b2904850fe78e0bd179c4b655c404d4bb799ef03ddc60804247099ae909"},
+    {file = "nvidia_cuda_runtime-13.0.96-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:ef9bcbe90493a2b9d810e43d249adb3d02e98dd30200d86607d8d02687c43f55"},
+    {file = "nvidia_cuda_runtime-13.0.96-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7f82250d7782aa23b6cfe765ecc7db554bd3c2870c43f3d1821f1d18aebf0548"},
+    {file = "nvidia_cuda_runtime-13.0.96-py3-none-win_amd64.whl", hash = "sha256:f79298c8a098cec150a597c8eba58ecdab96e3bdc4b9bc4f9983635031740492"},
 ]
 
 [[package]]
@@ -3818,30 +3929,17 @@ files = [
     {file = "nvidia_cuda_runtime_cu12-12.6.77-py3-none-win_amd64.whl", hash = "sha256:86c58044c824bf3c173c49a2dbc7a6c8b53cb4e4dca50068be0bf64e9dab3f7f"},
 ]
 
-[[package]]
-name = "nvidia-cuda-runtime-cu12"
-version = "12.8.90"
-description = "CUDA Runtime native Libraries"
-optional = false
-python-versions = ">=3"
-groups = ["main"]
-markers = "sys_platform != \"darwin\" and sys_platform != \"linux\" and python_version < \"3.14\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
-files = [
-    {file = "nvidia_cuda_runtime_cu12-12.8.90-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:52bf7bbee900262ffefe5e9d5a2a69a30d97e2bc5bb6cc866688caa976966e3d"},
-    {file = "nvidia_cuda_runtime_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:adade8dcbd0edf427b7204d480d6066d33902cab2a4707dcfc48a2d0fd44ab90"},
-    {file = "nvidia_cuda_runtime_cu12-12.8.90-py3-none-win_amd64.whl", hash = "sha256:c0c6027f01505bfed6c3b21ec546f69c687689aad5f1a377554bc6ca4aa993a8"},
-]
-
 [[package]]
 name = "nvidia-cudnn-cu12"
-version = "8.9.2.26"
+version = "9.1.0.70"
 description = "cuDNN runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
 markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
-    {file = "nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl", hash = "sha256:5ccb288774fdfb07a7e7025ffec286971c06d8d7b4fb162525334616d7629ff9"},
+    {file = "nvidia_cudnn_cu12-9.1.0.70-py3-none-manylinux2014_x86_64.whl", hash = "sha256:165764f44ef8c61fcdfdfdbe769d687e06374059fbb388b6c89ecb0e28793a6f"},
+    {file = "nvidia_cudnn_cu12-9.1.0.70-py3-none-win_amd64.whl", hash = "sha256:6278562929433d68365a07a4a1546c237ba2849852c0d4b2262a486e805b977a"},
 ]
 
 [package.dependencies]
@@ -3865,21 +3963,38 @@ files = [
 nvidia-cublas-cu12 = "*"
 
 [[package]]
-name = "nvidia-cudnn-cu12"
-version = "9.10.2.21"
+name = "nvidia-cudnn-cu13"
+version = "9.19.0.56"
 description = "cuDNN runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "sys_platform != \"darwin\" and sys_platform != \"linux\" and python_version < \"3.14\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "sys_platform != \"darwin\" and sys_platform != \"linux\" and python_version < \"3.14\" and platform_system == \"Linux\""
 files = [
-    {file = "nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:c9132cc3f8958447b4910a1720036d9eff5928cc3179b0a51fb6d167c6cc87d8"},
-    {file = "nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:949452be657fa16687d0930933f032835951ef0892b37d2d53824d1a84dc97a8"},
-    {file = "nvidia_cudnn_cu12-9.10.2.21-py3-none-win_amd64.whl", hash = "sha256:c6288de7d63e6cf62988f0923f96dc339cea362decb1bf5b3141883392a7d65e"},
+    {file = "nvidia_cudnn_cu13-9.19.0.56-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:6ed29ffaee1176c612daf442e4dd6cfeb6a0caa43ddcbeb59da94953030b1be4"},
+    {file = "nvidia_cudnn_cu13-9.19.0.56-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:d20e1734305e9d68889a96e3f35094d733ff1f83932ebe462753973e53a572bf"},
+    {file = "nvidia_cudnn_cu13-9.19.0.56-py3-none-win_amd64.whl", hash = "sha256:40d8c375005bcb01495f8edf375230b203a411a0c05fb6dc92a3781edcb23eac"},
 ]
 
 [package.dependencies]
-nvidia-cublas-cu12 = "*"
+nvidia-cublas = "*"
+
+[[package]]
+name = "nvidia-cufft"
+version = "12.0.0.61"
+description = "CUFFT native runtime libraries"
+optional = false
+python-versions = ">=3"
+groups = ["main"]
+markers = "sys_platform == \"win32\" and python_version < \"3.14\" and platform_system == \"Linux\""
+files = [
+    {file = "nvidia_cufft-12.0.0.61-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:2708c852ef8cd89d1d2068bdbece0aa188813a0c934db3779b9b1faa8442e5f5"},
+    {file = "nvidia_cufft-12.0.0.61-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:6c44f692dce8fd5ffd3e3df134b6cdb9c2f72d99cf40b62c32dde45eea9ddad3"},
+    {file = "nvidia_cufft-12.0.0.61-py3-none-win_amd64.whl", hash = "sha256:2abce5b39d2f5ae12730fb7e5db6696533e36c26e2d3e8fd1750bdd2853364eb"},
+]
+
+[package.dependencies]
+nvidia-nvjitlink = "*"
 
 [[package]]
 name = "nvidia-cufft-cu12"
@@ -3914,22 +4029,18 @@ files = [
 nvidia-nvjitlink-cu12 = "*"
 
 [[package]]
-name = "nvidia-cufft-cu12"
-version = "11.3.3.83"
-description = "CUFFT native runtime libraries"
+name = "nvidia-cufile"
+version = "1.15.1.6"
+description = "cuFile GPUDirect libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "sys_platform != \"darwin\" and sys_platform != \"linux\" and python_version < \"3.14\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "<empty>"
 files = [
-    {file = "nvidia_cufft_cu12-11.3.3.83-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:848ef7224d6305cdb2a4df928759dca7b1201874787083b6e7550dd6765ce69a"},
-    {file = "nvidia_cufft_cu12-11.3.3.83-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4d2dd21ec0b88cf61b62e6b43564355e5222e4a3fb394cac0db101f2dd0d4f74"},
-    {file = "nvidia_cufft_cu12-11.3.3.83-py3-none-win_amd64.whl", hash = "sha256:7a64a98ef2a7c47f905aaf8931b69a3a43f27c55530c698bb2ed7c75c0b42cb7"},
+    {file = "nvidia_cufile-1.15.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:08a3ecefae5a01c7f5117351c64f17c7c62efa5fffdbe24fc7d298da19cd0b44"},
+    {file = "nvidia_cufile-1.15.1.6-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:bdc0deedc61f548bddf7733bdc216456c2fdb101d020e1ab4b88d232d5e2f6d1"},
 ]
 
-[package.dependencies]
-nvidia-nvjitlink-cu12 = "*"
-
 [[package]]
 name = "nvidia-cufile-cu12"
 version = "1.11.1.6"
@@ -3944,16 +4055,17 @@ files = [
 ]
 
 [[package]]
-name = "nvidia-cufile-cu12"
-version = "1.13.1.3"
-description = "cuFile GPUDirect libraries"
+name = "nvidia-curand"
+version = "10.4.0.35"
+description = "CURAND native runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "sys_platform != \"darwin\" and sys_platform != \"linux\" and python_version < \"3.14\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "sys_platform == \"win32\" and python_version < \"3.14\" and platform_system == \"Linux\""
 files = [
-    {file = "nvidia_cufile_cu12-1.13.1.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1d069003be650e131b21c932ec3d8969c1715379251f8d23a1860554b1cb24fc"},
-    {file = "nvidia_cufile_cu12-1.13.1.3-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:4beb6d4cce47c1a0f1013d72e02b0994730359e17801d395bdcbf20cfb3bb00a"},
+    {file = "nvidia_curand-10.4.0.35-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:133df5a7509c3e292aaa2b477afd0194f06ce4ea24d714d616ff36439cee349a"},
+    {file = "nvidia_curand-10.4.0.35-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:1aee33a5da6e1db083fe2b90082def8915f30f3248d5896bcec36a579d941bfc"},
+    {file = "nvidia_curand-10.4.0.35-py3-none-win_amd64.whl", hash = "sha256:65b1710aa6961d326b411e314b374290904c5ddf41dc3f766ebc3f1d7d4ca69f"},
 ]
 
 [[package]]
@@ -3986,19 +4098,24 @@ files = [
 ]
 
 [[package]]
-name = "nvidia-curand-cu12"
-version = "10.3.9.90"
-description = "CURAND native runtime libraries"
+name = "nvidia-cusolver"
+version = "12.0.4.66"
+description = "CUDA solver native runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "sys_platform != \"darwin\" and sys_platform != \"linux\" and python_version < \"3.14\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "sys_platform == \"win32\" and python_version < \"3.14\" and platform_system == \"Linux\""
 files = [
-    {file = "nvidia_curand_cu12-10.3.9.90-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:dfab99248034673b779bc6decafdc3404a8a6f502462201f2f31f11354204acd"},
-    {file = "nvidia_curand_cu12-10.3.9.90-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:b32331d4f4df5d6eefa0554c565b626c7216f87a06a4f56fab27c3b68a830ec9"},
-    {file = "nvidia_curand_cu12-10.3.9.90-py3-none-win_amd64.whl", hash = "sha256:f149a8ca457277da854f89cf282d6ef43176861926c7ac85b2a0fbd237c587ec"},
+    {file = "nvidia_cusolver-12.0.4.66-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:02c2457eaa9e39de20f880f4bd8820e6a1cfb9f9a34f820eb12a155aa5bc92d2"},
+    {file = "nvidia_cusolver-12.0.4.66-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:0a759da5dea5c0ea10fd307de75cdeb59e7ea4fcb8add0924859b944babf1112"},
+    {file = "nvidia_cusolver-12.0.4.66-py3-none-win_amd64.whl", hash = "sha256:16515bd33a8e76bb54d024cfa068fa68d30e80fc34b9e1090813ea9362e0cb65"},
 ]
 
+[package.dependencies]
+nvidia-cublas = "*"
+nvidia-cusparse = "*"
+nvidia-nvjitlink = "*"
+
 [[package]]
 name = "nvidia-cusolver-cu12"
 version = "11.4.5.107"
@@ -4039,23 +4156,21 @@ nvidia-cusparse-cu12 = "*"
 nvidia-nvjitlink-cu12 = "*"
 
 [[package]]
-name = "nvidia-cusolver-cu12"
-version = "11.7.3.90"
-description = "CUDA solver native runtime libraries"
+name = "nvidia-cusparse"
+version = "12.6.3.3"
+description = "CUSPARSE native runtime libraries"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "sys_platform != \"darwin\" and sys_platform != \"linux\" and python_version < \"3.14\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "sys_platform == \"win32\" and python_version < \"3.14\" and platform_system == \"Linux\""
 files = [
-    {file = "nvidia_cusolver_cu12-11.7.3.90-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:db9ed69dbef9715071232caa9b69c52ac7de3a95773c2db65bdba85916e4e5c0"},
-    {file = "nvidia_cusolver_cu12-11.7.3.90-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:4376c11ad263152bd50ea295c05370360776f8c3427b30991df774f9fb26c450"},
-    {file = "nvidia_cusolver_cu12-11.7.3.90-py3-none-win_amd64.whl", hash = "sha256:4a550db115fcabc4d495eb7d39ac8b58d4ab5d8e63274d3754df1c0ad6a22d34"},
+    {file = "nvidia_cusparse-12.6.3.3-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:80bcc4662f23f1054ee334a15c72b8940402975e0eab63178fc7e670aa59472c"},
+    {file = "nvidia_cusparse-12.6.3.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:2b3c89c88d01ee0e477cb7f82ef60a11a4bcd57b6b87c33f789350b59759360b"},
+    {file = "nvidia_cusparse-12.6.3.3-py3-none-win_amd64.whl", hash = "sha256:cbcf42feb737bd7ec15b4c0a63e62351886bd3f975027b8815d7f720a2b5ea79"},
 ]
 
 [package.dependencies]
-nvidia-cublas-cu12 = "*"
-nvidia-cusparse-cu12 = "*"
-nvidia-nvjitlink-cu12 = "*"
+nvidia-nvjitlink = "*"
 
 [[package]]
 name = "nvidia-cusparse-cu12"
@@ -4092,23 +4207,6 @@ files = [
 [package.dependencies]
 nvidia-nvjitlink-cu12 = "*"
 
-[[package]]
-name = "nvidia-cusparse-cu12"
-version = "12.5.8.93"
-description = "CUSPARSE native runtime libraries"
-optional = false
-python-versions = ">=3"
-groups = ["main"]
-markers = "sys_platform != \"darwin\" and sys_platform != \"linux\" and python_version < \"3.14\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
-files = [
-    {file = "nvidia_cusparse_cu12-12.5.8.93-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:9b6c161cb130be1a07a27ea6923df8141f3c295852f4b260c65f18f3e0a091dc"},
-    {file = "nvidia_cusparse_cu12-12.5.8.93-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1ec05d76bbbd8b61b06a80e1eaf8cf4959c3d4ce8e711b65ebd0443bb0ebb13b"},
-    {file = "nvidia_cusparse_cu12-12.5.8.93-py3-none-win_amd64.whl", hash = "sha256:9a33604331cb2cac199f2e7f5104dfbb8a5a898c367a53dfda9ff2acb6b6b4dd"},
-]
-
-[package.dependencies]
-nvidia-nvjitlink-cu12 = "*"
-
 [[package]]
 name = "nvidia-cusparselt-cu12"
 version = "0.6.3"
@@ -4124,29 +4222,30 @@ files = [
 ]
 
 [[package]]
-name = "nvidia-cusparselt-cu12"
-version = "0.7.1"
+name = "nvidia-cusparselt-cu13"
+version = "0.8.0"
 description = "NVIDIA cuSPARSELt"
 optional = false
 python-versions = "*"
 groups = ["main"]
-markers = "sys_platform != \"darwin\" and sys_platform != \"linux\" and python_version < \"3.14\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "sys_platform != \"darwin\" and sys_platform != \"linux\" and python_version < \"3.14\" and platform_system == \"Linux\""
 files = [
-    {file = "nvidia_cusparselt_cu12-0.7.1-py3-none-manylinux2014_aarch64.whl", hash = "sha256:8878dce784d0fac90131b6817b607e803c36e629ba34dc5b433471382196b6a5"},
-    {file = "nvidia_cusparselt_cu12-0.7.1-py3-none-manylinux2014_x86_64.whl", hash = "sha256:f1bb701d6b930d5a7cea44c19ceb973311500847f81b634d802b7b539dc55623"},
-    {file = "nvidia_cusparselt_cu12-0.7.1-py3-none-win_amd64.whl", hash = "sha256:f67fbb5831940ec829c9117b7f33807db9f9678dc2a617fbe781cac17b4e1075"},
+    {file = "nvidia_cusparselt_cu13-0.8.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:400c6ed1cf6780fc6efedd64ec9f1345871767e6a1a0a552a1ea0578117ea77c"},
+    {file = "nvidia_cusparselt_cu13-0.8.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:25e30a8a7323935d4ad0340b95a0b69926eee755767e8e0b1cf8dd85b197d3fd"},
+    {file = "nvidia_cusparselt_cu13-0.8.0-py3-none-win_amd64.whl", hash = "sha256:e80212ed7b1afc97102fbb2b5c82487aa73f6a0edfa6d26c5a152593e520bb8f"},
 ]
 
 [[package]]
 name = "nvidia-nccl-cu12"
-version = "2.19.3"
+version = "2.20.5"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
 markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and sys_platform == \"darwin\""
 files = [
-    {file = "nvidia_nccl_cu12-2.19.3-py3-none-manylinux1_x86_64.whl", hash = "sha256:a9734707a2c96443331c1e48c717024aa6678a0e2a4cb66b2c364d18cee6b48d"},
+    {file = "nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_aarch64.whl", hash = "sha256:1fc150d5c3250b170b29410ba682384b14581db722b2531b0d8d33c595f33d01"},
+    {file = "nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl", hash = "sha256:057f6bf9685f75215d0c53bf3ac4a10b3e6578351de307abad9e18a99182af56"},
 ]
 
 [[package]]
@@ -4163,71 +4262,71 @@ files = [
 ]
 
 [[package]]
-name = "nvidia-nccl-cu12"
-version = "2.27.5"
+name = "nvidia-nccl-cu13"
+version = "2.28.9"
 description = "NVIDIA Collective Communication Library (NCCL) Runtime"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "sys_platform != \"darwin\" and sys_platform != \"linux\" and python_version < \"3.14\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "sys_platform != \"darwin\" and sys_platform != \"linux\" and python_version < \"3.14\" and platform_system == \"Linux\""
 files = [
-    {file = "nvidia_nccl_cu12-2.27.5-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:31432ad4d1fb1004eb0c56203dc9bc2178a1ba69d1d9e02d64a6938ab5e40e7a"},
-    {file = "nvidia_nccl_cu12-2.27.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ad730cf15cb5d25fe849c6e6ca9eb5b76db16a80f13f425ac68d8e2e55624457"},
+    {file = "nvidia_nccl_cu13-2.28.9-py3-none-manylinux_2_18_aarch64.whl", hash = "sha256:01c873ba1626b54caa12272ed228dc5b2781545e0ae8ba3f432a8ef1c6d78643"},
+    {file = "nvidia_nccl_cu13-2.28.9-py3-none-manylinux_2_18_x86_64.whl", hash = "sha256:e4553a30f34195f3fa1da02a6da3d6337d28f2003943aa0a3d247bbc25fefc42"},
 ]
 
 [[package]]
-name = "nvidia-nvjitlink-cu12"
-version = "12.6.85"
+name = "nvidia-nvjitlink"
+version = "13.0.88"
 description = "Nvidia JIT LTO Library"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "sys_platform != \"darwin\" and sys_platform != \"linux\" and python_version >= \"3.14\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "sys_platform == \"win32\" and python_version < \"3.14\" and platform_system == \"Linux\""
 files = [
-    {file = "nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:eedc36df9e88b682efe4309aa16b5b4e78c2407eac59e8c10a6a47535164369a"},
-    {file = "nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:cf4eaa7d4b6b543ffd69d6abfb11efdeb2db48270d94dfd3a452c24150829e41"},
-    {file = "nvidia_nvjitlink_cu12-12.6.85-py3-none-win_amd64.whl", hash = "sha256:e61120e52ed675747825cdd16febc6a0730537451d867ee58bee3853b1b13d1c"},
+    {file = "nvidia_nvjitlink-13.0.88-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:13a74f429e23b921c1109976abefacc69835f2f433ebd323d3946e11d804e47b"},
+    {file = "nvidia_nvjitlink-13.0.88-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:e931536ccc7d467a98ba1d8b89ff7fa7f1fa3b13f2b0069118cd7f47bff07d0c"},
+    {file = "nvidia_nvjitlink-13.0.88-py3-none-win_amd64.whl", hash = "sha256:634e96e3da9ef845ae744097a1f289238ecf946ce0b82e93cdce14b9782e682f"},
 ]
 
 [[package]]
 name = "nvidia-nvjitlink-cu12"
-version = "12.8.93"
+version = "12.6.85"
 description = "Nvidia JIT LTO Library"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "sys_platform != \"darwin\" and sys_platform != \"linux\" and python_version < \"3.14\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and sys_platform != \"linux\" and (sys_platform == \"darwin\" or python_version >= \"3.14\")"
 files = [
-    {file = "nvidia_nvjitlink_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:81ff63371a7ebd6e6451970684f916be2eab07321b73c9d244dc2b4da7f73b88"},
-    {file = "nvidia_nvjitlink_cu12-12.8.93-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:adccd7161ace7261e01bb91e44e88da350895c270d23f744f0820c818b7229e7"},
-    {file = "nvidia_nvjitlink_cu12-12.8.93-py3-none-win_amd64.whl", hash = "sha256:bd93fbeeee850917903583587f4fc3a4eafa022e34572251368238ab5e6bd67f"},
+    {file = "nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:eedc36df9e88b682efe4309aa16b5b4e78c2407eac59e8c10a6a47535164369a"},
+    {file = "nvidia_nvjitlink_cu12-12.6.85-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:cf4eaa7d4b6b543ffd69d6abfb11efdeb2db48270d94dfd3a452c24150829e41"},
+    {file = "nvidia_nvjitlink_cu12-12.6.85-py3-none-win_amd64.whl", hash = "sha256:e61120e52ed675747825cdd16febc6a0730537451d867ee58bee3853b1b13d1c"},
 ]
 
 [[package]]
-name = "nvidia-nvjitlink-cu12"
-version = "12.9.86"
-description = "Nvidia JIT LTO Library"
+name = "nvidia-nvshmem-cu13"
+version = "3.4.5"
+description = "NVSHMEM creates a global address space that provides efficient and scalable communication for NVIDIA GPU clusters."
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and sys_platform == \"darwin\""
+markers = "sys_platform != \"darwin\" and sys_platform != \"linux\" and python_version < \"3.14\" and platform_system == \"Linux\""
 files = [
-    {file = "nvidia_nvjitlink_cu12-12.9.86-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:e3f1171dbdc83c5932a45f0f4c99180a70de9bd2718c1ab77d14104f6d7147f9"},
-    {file = "nvidia_nvjitlink_cu12-12.9.86-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:994a05ef08ef4b0b299829cde613a424382aff7efb08a7172c1fa616cc3af2ca"},
-    {file = "nvidia_nvjitlink_cu12-12.9.86-py3-none-win_amd64.whl", hash = "sha256:cc6fcec260ca843c10e34c936921a1c426b351753587fdd638e8cff7b16bb9db"},
+    {file = "nvidia_nvshmem_cu13-3.4.5-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:6dc2a197f38e5d0376ad52cd1a2a3617d3cdc150fd5966f4aee9bcebb1d68fe9"},
+    {file = "nvidia_nvshmem_cu13-3.4.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:290f0a2ee94c9f3687a02502f3b9299a9f9fe826e6d0287ee18482e78d495b80"},
 ]
 
 [[package]]
-name = "nvidia-nvshmem-cu12"
-version = "3.4.5"
-description = "NVSHMEM creates a global address space that provides efficient and scalable communication for NVIDIA GPU clusters."
+name = "nvidia-nvtx"
+version = "13.0.85"
+description = "NVIDIA Tools Extension"
 optional = false
 python-versions = ">=3"
 groups = ["main"]
-markers = "sys_platform != \"darwin\" and sys_platform != \"linux\" and python_version < \"3.14\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "sys_platform == \"win32\" and python_version < \"3.14\" and platform_system == \"Linux\""
 files = [
-    {file = "nvidia_nvshmem_cu12-3.4.5-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:0b48363fc6964dede448029434c6abed6c5e37f823cb43c3bcde7ecfc0457e15"},
-    {file = "nvidia_nvshmem_cu12-3.4.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:042f2500f24c021db8a06c5eec2539027d57460e1c1a762055a6554f72c369bd"},
+    {file = "nvidia_nvtx-13.0.85-py3-none-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:4936d1d6780fbe68db454f5e72a42ff64d1fd6397df9f363ae786930fd5c1cd4"},
+    {file = "nvidia_nvtx-13.0.85-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:cb7780edb6b14107373c835bf8b72e7a178bac7367e23da7acb108f973f157a6"},
+    {file = "nvidia_nvtx-13.0.85-py3-none-win_amd64.whl", hash = "sha256:d66ea44254dd3c6eacc300047af6e1288d2269dd072b417e0adffbf479e18519"},
 ]
 
 [[package]]
@@ -4259,20 +4358,6 @@ files = [
     {file = "nvidia_nvtx_cu12-12.6.77-py3-none-win_amd64.whl", hash = "sha256:2fb11a4af04a5e6c84073e6404d26588a34afd35379f0855a99797897efa75c0"},
 ]
 
-[[package]]
-name = "nvidia-nvtx-cu12"
-version = "12.8.90"
-description = "NVIDIA Tools Extension"
-optional = false
-python-versions = ">=3"
-groups = ["main"]
-markers = "sys_platform != \"darwin\" and sys_platform != \"linux\" and python_version < \"3.14\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
-files = [
-    {file = "nvidia_nvtx_cu12-12.8.90-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d7ad891da111ebafbf7e015d34879f7112832fc239ff0d7d776b6cb685274615"},
-    {file = "nvidia_nvtx_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5b17e2001cc0d751a5bc2c6ec6d26ad95913324a4adb86788c944f8ce9ba441f"},
-    {file = "nvidia_nvtx_cu12-12.8.90-py3-none-win_amd64.whl", hash = "sha256:619c8304aedc69f02ea82dd244541a83c3d9d40993381b3b590f1adaed3db41e"},
-]
-
 [[package]]
 name = "oauthlib"
 version = "3.3.1"
@@ -4308,7 +4393,7 @@ version = "0.46"
 description = "A package for ontology-oriented programming in Python: load OWL 2.0 ontologies as Python objects, modify them, save them, and perform reasoning via HermiT. Includes an optimized RDF quadstore."
 optional = false
 python-versions = ">=3.6"
-groups = ["main"]
+groups = ["scripts"]
 files = [
     {file = "owlready2-0.46.tar.gz", hash = "sha256:3c1b06dbe85df77dfa2de5a13ba1d11b4b8543c1c0ccdc5be252a81e3c0de55a"},
 ]
@@ -4480,103 +4565,103 @@ scramp = ">=1.4.5"
 
 [[package]]
 name = "pillow"
-version = "12.1.1"
+version = "12.2.0"
 description = "Python Imaging Library (fork)"
 optional = false
 python-versions = ">=3.10"
 groups = ["main", "docs"]
 files = [
-    {file = "pillow-12.1.1-cp310-cp310-macosx_10_10_x86_64.whl", hash = "sha256:1f1625b72740fdda5d77b4def688eb8fd6490975d06b909fd19f13f391e077e0"},
-    {file = "pillow-12.1.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:178aa072084bd88ec759052feca8e56cbb14a60b39322b99a049e58090479713"},
-    {file = "pillow-12.1.1-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:b66e95d05ba806247aaa1561f080abc7975daf715c30780ff92a20e4ec546e1b"},
-    {file = "pillow-12.1.1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:89c7e895002bbe49cdc5426150377cbbc04767d7547ed145473f496dfa40408b"},
-    {file = "pillow-12.1.1-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:3a5cbdcddad0af3da87cb16b60d23648bc3b51967eb07223e9fed77a82b457c4"},
-    {file = "pillow-12.1.1-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:9f51079765661884a486727f0729d29054242f74b46186026582b4e4769918e4"},
-    {file = "pillow-12.1.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:99c1506ea77c11531d75e3a412832a13a71c7ebc8192ab9e4b2e355555920e3e"},
-    {file = "pillow-12.1.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:36341d06738a9f66c8287cf8b876d24b18db9bd8740fa0672c74e259ad408cff"},
-    {file = "pillow-12.1.1-cp310-cp310-win32.whl", hash = "sha256:6c52f062424c523d6c4db85518774cc3d50f5539dd6eed32b8f6229b26f24d40"},
-    {file = "pillow-12.1.1-cp310-cp310-win_amd64.whl", hash = "sha256:c6008de247150668a705a6338156efb92334113421ceecf7438a12c9a12dab23"},
-    {file = "pillow-12.1.1-cp310-cp310-win_arm64.whl", hash = "sha256:1a9b0ee305220b392e1124a764ee4265bd063e54a751a6b62eff69992f457fa9"},
-    {file = "pillow-12.1.1-cp311-cp311-macosx_10_10_x86_64.whl", hash = "sha256:e879bb6cd5c73848ef3b2b48b8af9ff08c5b71ecda8048b7dd22d8a33f60be32"},
-    {file = "pillow-12.1.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:365b10bb9417dd4498c0e3b128018c4a624dc11c7b97d8cc54effe3b096f4c38"},
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 [[package]]
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 [package.dependencies]
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 [[package]]
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@@ -6169,21 +6309,18 @@ tornado = ["tornado (>=5)"]
 
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 [package.extras]
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 [package.dependencies]
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-nvidia-nccl-cu12 = {version = "2.19.3", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+nvidia-nccl-cu12 = {version = "2.20.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
 nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
+setuptools = "*"
 sympy = "*"
+triton = {version = "3.0.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.13\""}
 typing-extensions = ">=4.8.0"
 
 [package.extras]
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-optree = ["optree (>=0.9.1)"]
+optree = ["optree (>=0.11.0)"]
 
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 [package.dependencies]
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 [package.extras]
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-optree = ["optree (>=0.9.1)"]
+optree = ["optree (>=0.11.0)"]
 
 [package.source]
 type = "legacy"
-url = "https://download.pytorch.org/whl/cpu"
+url = "https://download-r2.pytorch.org/whl/cpu"
 reference = "pytorch-cpu"
 
 [[package]]
@@ -7255,78 +7389,57 @@ optree = ["optree (>=0.13.0)"]
 
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 typing-extensions = ">=4.10.0"
 
 [package.extras]
@@ -7389,22 +7502,22 @@ telegram = ["requests"]
 
 [[package]]
 name = "transformers"
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 description = "Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training."
 optional = false
 python-versions = ">=3.10.0"
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 [package.dependencies]
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 packaging = ">=20.0"
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 safetensors = ">=0.4.3"
 tokenizers = ">=0.22.0,<=0.23.0"
 tqdm = ">=4.27"
@@ -7412,35 +7525,60 @@ typer = "*"
 
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+docs = ["hf-doc-builder"]
+integrations = ["codecarbon (>=2.8.1)", "kernels (>=0.12.0,<0.13)", "optuna", "ray[tune] (>=2.7.0)"]
 ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "rhoknp (>=1.1.0,<1.3.1)", "sudachidict_core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic_lite (>=1.0.7)"]
-kernels = ["kernels (>=0.10.2,<0.11)"]
-mistral-common = ["mistral-common[image] (>=1.8.8)"]
+kernels = ["kernels (>=0.12.0,<0.13)"]
+mistral-common = ["mistral-common[image] (>=1.10.0)"]
 num2words = ["num2words"]
 open-telemetry = ["opentelemetry-api", "opentelemetry-exporter-otlp", "opentelemetry-sdk"]
 optuna = ["optuna"]
-quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "ty (==0.0.12)", "urllib3 (<2.0.0)"]
+quality = ["GitPython (<3.1.19)", "datasets (>=2.15.0)", "libcst", "rich", "ruff (==0.14.10)", "tomli", "ty (==0.0.20)", "urllib3 (<2.0.0)"]
 ray = ["ray[tune] (>=2.7.0)"]
 retrieval = ["datasets (>=2.15.0)", "faiss-cpu"]
 sagemaker = ["sagemaker (>=2.31.0)"]
 sentencepiece = ["protobuf", "sentencepiece (>=0.1.91,!=0.1.92)"]
 serving = ["accelerate (>=1.1.0)", "fastapi", "openai (>=1.98.0)", "pydantic (>=2)", "rich", "starlette", "torch (>=2.4)", "uvicorn"]
 sklearn = ["scikit-learn"]
-testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "libcst", "mistral-common[image] (>=1.8.8)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "torch (>=2.4)", "ty (==0.0.12)", "urllib3 (<2.0.0)", "uvicorn"]
+testing = ["GitPython (<3.1.19)", "accelerate (>=1.1.0)", "beautifulsoup4", "datasets (>=2.15.0)", "datasets (>=2.15.0)", "dill (<0.3.5)", "evaluate (>=0.4.6)", "faiss-cpu", "fastapi", "filelock", "hf-doc-builder", "libcst", "mistral-common[image] (>=1.10.0)", "nltk (<=3.8.1)", "openai (>=1.98.0)", "parameterized (>=0.9)", "protobuf", "psutil", "pydantic (>=2)", "pytest (>=7.2.0,<9.0.0)", "pytest-asyncio (>=1.2.0)", "pytest-env", "pytest-order", "pytest-random-order", "pytest-rerunfailures (<16.0)", "pytest-rich", "pytest-timeout", "pytest-xdist", "rich", "rich", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "ruff (==0.14.10)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "sentencepiece (>=0.1.91,!=0.1.92)", "starlette", "tensorboard", "timeout-decorator", "tomli", "torch (>=2.4)", "ty (==0.0.20)", "urllib3 (<2.0.0)", "uvicorn"]
 tiktoken = ["blobfile", "tiktoken"]
 timm = ["timm (>=1.0.23)"]
 torch = ["accelerate (>=1.1.0)", "torch (>=2.4)"]
 video = ["av"]
 vision = ["Pillow (>=10.0.1,<=15.0)", "torchvision"]
 
+[[package]]
+name = "triton"
+version = "3.0.0"
+description = "A language and compiler for custom Deep Learning operations"
+optional = false
+python-versions = "*"
+groups = ["main"]
+markers = "python_version == \"3.12\" and platform_system == \"Linux\" and platform_machine == \"x86_64\" and sys_platform == \"darwin\""
+files = [
+    {file = "triton-3.0.0-1-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e1efef76935b2febc365bfadf74bcb65a6f959a9872e5bddf44cc9e0adce1e1a"},
+    {file = "triton-3.0.0-1-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5ce8520437c602fb633f1324cc3871c47bee3b67acf9756c1a66309b60e3216c"},
+    {file = "triton-3.0.0-1-cp312-cp312-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:34e509deb77f1c067d8640725ef00c5cbfcb2052a1a3cb6a6d343841f92624eb"},
+    {file = "triton-3.0.0-1-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:bcbf3b1c48af6a28011a5c40a5b3b9b5330530c3827716b5fbf6d7adcc1e53e9"},
+    {file = "triton-3.0.0-1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:6e5727202f7078c56f91ff13ad0c1abab14a0e7f2c87e91b12b6f64f3e8ae609"},
+]
+
+[package.dependencies]
+filelock = "*"
+
+[package.extras]
+build = ["cmake (>=3.20)", "lit"]
+tests = ["autopep8", "flake8", "isort", "llnl-hatchet", "numpy", "pytest", "scipy (>=1.7.1)"]
+tutorials = ["matplotlib", "pandas", "tabulate"]
+
 [[package]]
 name = "triton"
 version = "3.3.1"
@@ -7473,7 +7611,7 @@ description = "A language and compiler for custom Deep Learning operations"
 optional = false
 python-versions = "<3.15,>=3.10"
 groups = ["main"]
-markers = "sys_platform != \"darwin\" and sys_platform != \"linux\" and python_version < \"3.14\" and platform_system == \"Linux\" and platform_machine == \"x86_64\""
+markers = "sys_platform != \"darwin\" and sys_platform != \"linux\" and python_version < \"3.14\" and platform_system == \"Linux\""
 files = [
     {file = "triton-3.6.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6c723cfb12f6842a0ae94ac307dba7e7a44741d720a40cf0e270ed4a4e3be781"},
     {file = "triton-3.6.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a6550fae429e0667e397e5de64b332d1e5695b73650ee75a6146e2e902770bea"},
@@ -7545,40 +7683,41 @@ markers = {test = "python_version == \"3.12\""}
 
 [[package]]
 name = "tzdata"
-version = "2025.3"
+version = "2026.1"
 description = "Provider of IANA time zone data"
 optional = false
 python-versions = ">=2"
 groups = ["main"]
 files = [
-    {file = "tzdata-2025.3-py2.py3-none-any.whl", hash = "sha256:06a47e5700f3081aab02b2e513160914ff0694bce9947d6b76ebd6bf57cfc5d1"},
-    {file = "tzdata-2025.3.tar.gz", hash = "sha256:de39c2ca5dc7b0344f2eba86f49d614019d29f060fc4ebc8a417896a620b56a7"},
+    {file = "tzdata-2026.1-py2.py3-none-any.whl", hash = "sha256:4b1d2be7ac37ceafd7327b961aa3a54e467efbdb563a23655fbfe0d39cfc42a9"},
+    {file = "tzdata-2026.1.tar.gz", hash = "sha256:67658a1903c75917309e753fdc349ac0efd8c27db7a0cb406a25be4840f87f98"},
 ]
 
 [[package]]
 name = "umap-learn"
-version = "0.5.7"
+version = "0.5.12"
 description = "Uniform Manifold Approximation and Projection"
 optional = false
-python-versions = "*"
+python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "umap-learn-0.5.7.tar.gz", hash = "sha256:b2a97973e4c6ffcebf241100a8de589a4c84126a832ab40f296c6d9fcc5eb19e"},
-    {file = "umap_learn-0.5.7-py3-none-any.whl", hash = "sha256:6a7e0be2facfa365a5ed6588447102bdbef32a0ef449535c25c97ea7e680073c"},
+    {file = "umap_learn-0.5.12-py3-none-any.whl", hash = "sha256:f2a85d2a2adcb52b541bed9b27a23ca169b56bb1b23283abeebfb8dfb8a42fe5"},
+    {file = "umap_learn-0.5.12.tar.gz", hash = "sha256:6aff02ecac5f2aad9f3c65ee518d7ae93e1a985ae38721fdcffceee4232c33c7"},
 ]
 
 [package.dependencies]
 numba = ">=0.51.2"
-numpy = ">=1.17"
+numpy = ">=1.23"
 pynndescent = ">=0.5"
-scikit-learn = ">=0.22"
+scikit-learn = ">=1.6"
 scipy = ">=1.3.1"
 tqdm = "*"
 
 [package.extras]
 parametric-umap = ["tensorflow (>=2.1)"]
-plot = ["bokeh", "colorcet", "datashader", "holoviews", "matplotlib", "pandas", "scikit-image", "seaborn"]
+plot = ["bokeh", "colorcet", "dask", "datashader", "holoviews", "matplotlib", "pandas", "scikit-image", "seaborn"]
 tbb = ["tbb (>=2019.0)"]
+test = ["pytest"]
 
 [[package]]
 name = "uritemplate"
@@ -7594,21 +7733,21 @@ files = [
 
 [[package]]
 name = "urllib3"
-version = "2.6.3"
+version = "2.5.0"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
 optional = false
 python-versions = ">=3.9"
 groups = ["main", "dev", "docs", "test"]
 files = [
-    {file = "urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4"},
-    {file = "urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed"},
+    {file = "urllib3-2.5.0-py3-none-any.whl", hash = "sha256:e6b01673c0fa6a13e374b50871808eb3bf7046c4b125b216f6bf1cc604cff0dc"},
+    {file = "urllib3-2.5.0.tar.gz", hash = "sha256:3fc47733c7e419d4bc3f6b3dc2b4f890bb743906a30d56ba4a5bfa4bbff92760"},
 ]
 
 [package.extras]
-brotli = ["brotli (>=1.2.0) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=1.2.0.0) ; platform_python_implementation != \"CPython\""]
+brotli = ["brotli (>=1.0.9) ; platform_python_implementation == \"CPython\"", "brotlicffi (>=0.8.0) ; platform_python_implementation != \"CPython\""]
 h2 = ["h2 (>=4,<5)"]
 socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
-zstd = ["backports-zstd (>=1.0.0) ; python_version < \"3.14\""]
+zstd = ["zstandard (>=0.18.0)"]
 
 [[package]]
 name = "uvicorn"
@@ -8208,14 +8347,14 @@ propcache = ">=0.2.1"
 
 [[package]]
 name = "zipp"
-version = "3.23.0"
+version = "3.23.1"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
 python-versions = ">=3.9"
 groups = ["main"]
 files = [
-    {file = "zipp-3.23.0-py3-none-any.whl", hash = "sha256:071652d6115ed432f5ce1d34c336c0adfd6a884660d1e9712a256d3d3bd4b14e"},
-    {file = "zipp-3.23.0.tar.gz", hash = "sha256:a07157588a12518c9d4034df3fbbee09c814741a33ff63c05fa29d26a2404166"},
+    {file = "zipp-3.23.1-py3-none-any.whl", hash = "sha256:0b3596c50a5c700c9cb40ba8d86d9f2cc4807e9bedb06bcdf7fac85633e444dc"},
+    {file = "zipp-3.23.1.tar.gz", hash = "sha256:32120e378d32cd9714ad503c1d024619063ec28aad2248dc6672ad13edfa5110"},
 ]
 
 [package.extras]
@@ -8229,4 +8368,4 @@ type = ["pytest-mypy"]
 [metadata]
 lock-version = "2.1"
 python-versions = "^3.12"
-content-hash = "8b2a48a9822d65b0118a127a4f421636d00db069358b479537ee85e5db457d11"
+content-hash = "7153b78b45159e0b163370c7af5284cb30b856a58f310b25f7916c5128e9b0df"
diff --git a/pyproject.toml b/pyproject.toml
index 81d7521c..e955e4b2 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -47,8 +47,8 @@ gcsfs = "2023.9.2"
 tenacity = "8.2.3"
 lightning= ">=2.2.0,<=2.3.0"
 torch = [
-  { version = ">=2.2.0,<2.7.0", markers = "sys_platform == 'darwin'" },
-  { version = ">=2.2.0,<2.7.0", markers = "sys_platform == 'linux'", source = "pytorch-cpu" }
+  { version = ">=2.2.0,<2.5.0", markers = "sys_platform == 'darwin'"},
+  { version = ">=2.2.0,<2.5.0", markers = "sys_platform == 'linux'", source = "pytorch-cpu" }
 ]
 starlette = "0.41.2"
 starlette-context = "0.3.6"
@@ -57,13 +57,18 @@ sendgrid = "6.11.0"
 packaging = "24.2"
 pydantic = "2.8.2"
 pydantic-settings = "2.3.4"
-numpy = "1.26.4"
-owlready2 = "0.46"
-networkx = "3.3"
 setuptools = "<82"
 tiledb-vector-search = "0.16.0"
 tiledbsoma = ">=2.3.0,<2.4.0"
 
+[tool.poetry.group.scripts]
+optional = true
+
+[tool.poetry.group.scripts.dependencies]
+owlready2 = "0.46"
+networkx = "3.3"
+click = ">=8.0.0"
+
 [tool.poetry.group.dev.dependencies]
 wheel = "*"
 ruff = "^0.8.0"
@@ -100,7 +105,8 @@ pillow = "^12.1.1"
 
 [[tool.poetry.source]]
 name = "pytorch-cpu"
-url = "https://download.pytorch.org/whl/cpu"
+#url = "https://download.pytorch.org/whl/cpu"
+url = "https://download-r2.pytorch.org/whl/cpu"
 priority = "explicit"
 
 [build-system]
diff --git a/scripts/README.rst b/scripts/README.rst
new file mode 100644
index 00000000..f156b4ce
--- /dev/null
+++ b/scripts/README.rst
@@ -0,0 +1,48 @@
+Scripts
+=======
+
+Standalone utility scripts for one-off data preparation tasks. These are **not** part of the deployed
+application and require the optional ``scripts`` dependency group::
+
+    poetry install --with scripts
+
+create_cell_ontology_resource.py
+--------------------------------
+
+Generates the Cell Type Ontology resource JSON consumed by the CAS API from a CL OWL file.
+
+The output JSON contains five precomputed fields:
+
+- ``ancestors_dictionary`` — maps each CL term to its ordered list of ancestors
+- ``cell_ontology_term_id_to_cell_type`` — maps each CL term to its human-readable label
+- ``children_dictionary`` — maps each CL term to its direct children
+- ``shortest_path_lengths_from_cell_root`` — BFS distance from ``CL:0000000`` to each term
+- ``longest_path_lengths_from_cell_root`` — longest DAG path from ``CL:0000000`` to each term
+
+Usage
+~~~~~
+
+.. code-block:: shell
+
+    python scripts/create_cell_ontology_resource.py \
+        --owl-url https://github.com/obophenotype/cell-ontology/releases/download/v2025-07-30/cl.owl \
+        --output gs://your-bucket/path/to/cell_ontology_resource.json
+
+Arguments
+~~~~~~~~~
+
+.. option:: --owl-url
+
+   URL or local filesystem path to the CL OWL file. Accepts any URL supported by ``owlready2``.
+
+.. option:: --output
+
+   Destination file path for the resulting JSON. Accepts local paths or GCS URIs
+   (``gs://bucket/path/resource.json``) via ``smart-open``.
+
+Output
+~~~~~~
+
+The script writes a single JSON file. The resource must then be uploaded to the
+``OntologicalColumn`` record in the database (via the Admin interface) and the GCS path stored
+in ``OntologicalColumn.ontology_resource_name`` so the API can look it up by name.
diff --git a/scripts/create_cell_ontology_resource.py b/scripts/create_cell_ontology_resource.py
new file mode 100644
index 00000000..8663bdc5
--- /dev/null
+++ b/scripts/create_cell_ontology_resource.py
@@ -0,0 +1,187 @@
+"""
+Create the Cell Type Ontology resource JSON used by the Cellarium CAS backend.
+
+The output JSON contains five precomputed fields consumed by the API:
+
+  - ancestors_dictionary
+  - cell_ontology_term_id_to_cell_type
+  - children_dictionary
+  - shortest_path_lengths_from_cell_root
+  - longest_path_lengths_from_cell_root
+
+Example::
+
+    python scripts/create_cell_ontology_resource.py \\
+        --owl-url https://github.com/obophenotype/cell-ontology/releases/download/v2025-07-30/cl.owl \\
+        --output gs://your-bucket/path/to/cell_ontology_resource.json
+"""
+
+import json
+import logging
+import typing as t
+
+import click
+import networkx as nx
+import owlready2
+from smart_open import open
+
+CELL_ROOT = "CL:0000000"
+_OWL_NAME_PREFIX = "CL_"
+
+logging.basicConfig(level=logging.INFO)
+
+
+def _owl_name_to_cl_id(owl_name: str) -> str:
+    """Convert owlready2 internal name (CL_XXXXXXX) to standard CL ID (CL:XXXXXXX)."""
+    return owl_name.replace("CL_", "CL:", 1)
+
+
+def build_nx_graph_from_cl_ontology(
+    cl_ontology: owlready2.Ontology, cl_classes: t.List[owlready2.EntityClass]
+) -> nx.DiGraph:
+    """
+    Build a directed graph from a CL ontology. Edges go from parent to child.
+    Node names use standard CL: ID format.
+    """
+    logging.info("Building nx graph from cl ontology...")
+    cl_graph = nx.DiGraph(name="CL graph")
+    cl_classes_set = set(cl_classes)
+
+    for cl_class in cl_classes:
+        cl_graph.add_node(_owl_name_to_cl_id(cl_class.name))
+
+    for cl_class in cl_classes:
+        cl_id = _owl_name_to_cl_id(cl_class.name)
+        for parent_cl_class in cl_ontology.get_parents_of(entity=cl_class):
+            if parent_cl_class in cl_classes_set:
+                cl_graph.add_edge(_owl_name_to_cl_id(parent_cl_class.name), cl_id)
+        for child_cl_class in cl_ontology.get_children_of(Class=cl_class):
+            if child_cl_class in cl_classes_set:
+                cl_graph.add_edge(cl_id, _owl_name_to_cl_id(child_cl_class.name))
+
+    return cl_graph
+
+
+def build_ancestors_dictionary(
+    cl_graph: nx.DiGraph, cl_names: t.List[str], cl_names_to_idx_map: t.Dict[str, int]
+) -> t.Dict[str, t.List[str]]:
+    """
+    Build ancestor dictionary mapping each CL term to an ordered list of all its ancestors.
+    Ordering follows the original index ordering of cl_names.
+    """
+    logging.info("Building cell ontology ancestor dictionary...")
+    ancestors_dictionary = {}
+
+    for cl_name in cl_names:
+        current_ancestors = list(sorted(nx.ancestors(cl_graph, cl_name)))
+        ancestors_dictionary[cl_name] = [
+            a for _, a in sorted(zip([cl_names_to_idx_map[a] for a in current_ancestors], current_ancestors))
+        ]
+
+    return ancestors_dictionary
+
+
+def build_children_dictionary(cl_graph: nx.DiGraph, cl_names: t.List[str]) -> t.Dict[str, t.List[str]]:
+    """
+    Build children dictionary mapping each CL term to its direct (non-transitive) children.
+    """
+    logging.info("Building cell ontology children dictionary...")
+    return {cl_name: sorted(cl_graph.successors(cl_name)) for cl_name in cl_names}
+
+
+def compute_shortest_path_lengths_from_root(cl_graph: nx.DiGraph) -> t.Dict[str, int]:
+    """
+    Compute the shortest path length from CL:0000000 to every reachable descendant. Root = 0.
+    """
+    logging.info("Computing shortest path lengths from root...")
+    return dict(nx.single_source_shortest_path_length(cl_graph, CELL_ROOT))
+
+
+def compute_longest_path_lengths_from_root(cl_graph: nx.DiGraph) -> t.Dict[str, int]:
+    """
+    Compute the longest path length from CL:0000000 to every reachable descendant using
+    topological-order dynamic programming. Root = 0. Unreachable nodes are excluded.
+    """
+    logging.info("Computing longest path lengths from root...")
+    dist: t.Dict[str, int] = {}
+
+    for node in nx.topological_sort(cl_graph):
+        if node == CELL_ROOT:
+            dist[node] = 0
+        if node not in dist:
+            continue
+        for child in cl_graph.successors(node):
+            if child not in dist or dist[child] < dist[node] + 1:
+                dist[child] = dist[node] + 1
+
+    return dist
+
+
+@click.command()
+@click.option(
+    "--owl-url",
+    required=True,
+    help="URL or local path to the CL OWL file.",
+)
+@click.option(
+    "--output",
+    required=True,
+    help="Output file path (local or GCS, e.g. gs://bucket/path/resource.json).",
+)
+def main(owl_url: str, output: str) -> None:
+    """Create the Cell Type Ontology resource JSON for Cellarium CAS."""
+    logging.info("Generating cell type ontology resource from CL ontology...")
+
+    # cl.owl imports ontologies (e.g. STATO) that define entities as both a property and
+    # a class, which owlready2 rejects in _load_properties. Those entities are outside the
+    # CL namespace and do not affect output, so we silence the specific TypeError.
+    _orig = owlready2.Ontology._load_properties
+
+    def _safe_load_properties(self: owlready2.Ontology) -> None:
+        try:
+            _orig(self)
+        except TypeError as exc:
+            logging.warning("Skipping property-loading error (imported ontology): %s", exc)
+
+    owlready2.Ontology._load_properties = _safe_load_properties
+    try:
+        cl_ontology = owlready2.get_ontology(owl_url).load()
+    finally:
+        owlready2.Ontology._load_properties = _orig
+
+    cl_classes = [
+        _class
+        for _class in cl_ontology.classes()
+        if _class.name.startswith(_OWL_NAME_PREFIX) and len(_class.label) == 1
+    ]
+
+    # Build id->label mapping directly from class objects to avoid set-ordering bugs
+    seen: t.Dict[str, str] = {}
+    for _class in cl_classes:
+        cl_id = _owl_name_to_cl_id(_class.name)
+        if cl_id not in seen:
+            seen[cl_id] = _class.label[0]
+
+    cl_names_to_labels_map = seen
+    cl_names = sorted(cl_names_to_labels_map.keys())
+    cl_names_to_idx_map = {cl_name: idx for idx, cl_name in enumerate(cl_names)}
+
+    cl_graph = build_nx_graph_from_cl_ontology(cl_ontology=cl_ontology, cl_classes=cl_classes)
+
+    cell_ontology_resource = {
+        "ancestors_dictionary": build_ancestors_dictionary(
+            cl_graph=cl_graph, cl_names=cl_names, cl_names_to_idx_map=cl_names_to_idx_map
+        ),
+        "cell_ontology_term_id_to_cell_type": cl_names_to_labels_map,
+        "children_dictionary": build_children_dictionary(cl_graph=cl_graph, cl_names=cl_names),
+        "shortest_path_lengths_from_cell_root": compute_shortest_path_lengths_from_root(cl_graph=cl_graph),
+        "longest_path_lengths_from_cell_root": compute_longest_path_lengths_from_root(cl_graph=cl_graph),
+    }
+
+    logging.info(f"Writing output file to {output}")
+    with open(output, "w") as output_file:
+        json.dump(cell_ontology_resource, output_file)
+
+
+if __name__ == "__main__":
+    main()
diff --git a/tests/unit/fixtures/constants.py b/tests/unit/fixtures/constants.py
index a82ce989..b93c96f6 100644
--- a/tests/unit/fixtures/constants.py
+++ b/tests/unit/fixtures/constants.py
@@ -9,6 +9,7 @@
 TEST_MODEL_CELL_METADATA_URI = "gs://unknown"
 TEST_CELL_INFO_METADATA_NAME = "test-cell-info-metadata"
 TEST_CELL_TYPE_ONTOLOGY_RESOURCE_URI = "gs://unknown/cell_ontology_resource.json"
+TEST_ONTOLOGICAL_COLUMN_NAME = "cell-type-ontology-v1"
 TEST_MODEL_ADMIN_USE_ONLY = False
 TEST_EMBEDDING_DIMENSION = 32
 TEST_INDEX_NAME = "test-index-name"
diff --git a/tests/unit/fixtures/database.py b/tests/unit/fixtures/database.py
index f4da4745..dce45370 100644
--- a/tests/unit/fixtures/database.py
+++ b/tests/unit/fixtures/database.py
@@ -111,6 +111,7 @@ def populate_db(
     ontological_column = models.OntologicalColumn(
         id=1,
         cell_info_metadata=cell_info_metadata,
+        ontology_resource_name=constants.TEST_ONTOLOGICAL_COLUMN_NAME,
         column_name="cell_type",
         ontology_resource_uri=constants.TEST_CELL_TYPE_ONTOLOGY_RESOURCE_URI,
     )
diff --git a/tests/unit/scripts/__init__.py b/tests/unit/scripts/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/tests/unit/scripts/test_create_cell_ontology_resource_script.py b/tests/unit/scripts/test_create_cell_ontology_resource_script.py
new file mode 100644
index 00000000..285986bd
--- /dev/null
+++ b/tests/unit/scripts/test_create_cell_ontology_resource_script.py
@@ -0,0 +1,406 @@
+"""
+Unit tests for scripts/create_cell_ontology_resource.py.
+
+These tests exercise every function in the script using a small hand-crafted
+networkx graph so that owlready2 and a real OWL file are not required.
+"""
+
+import json
+from pathlib import Path
+import tempfile
+from unittest.mock import MagicMock, patch
+
+from click.testing import CliRunner
+import networkx as nx
+import pytest
+
+from scripts.create_cell_ontology_resource import (
+    CELL_ROOT,
+    _owl_name_to_cl_id,
+    build_ancestors_dictionary,
+    build_children_dictionary,
+    build_nx_graph_from_cl_ontology,
+    compute_longest_path_lengths_from_root,
+    compute_shortest_path_lengths_from_root,
+    main,
+)
+
+
+def _make_simple_graph() -> nx.DiGraph:
+    """
+    Simple 4-node DAG:
+        CL:0000000 → CL:0000001 → CL:0000002
+                   ↘              ↗
+                    CL:0000003
+    CL:0000002 is reachable from root via two paths of lengths 2 and 2,
+    but the longest is 2 via CL:0000003 too — both paths len 2.
+    """
+    g = nx.DiGraph()
+    g.add_edges_from(
+        [
+            ("CL:0000000", "CL:0000001"),
+            ("CL:0000001", "CL:0000002"),
+            ("CL:0000000", "CL:0000003"),
+            ("CL:0000003", "CL:0000002"),
+        ]
+    )
+    return g
+
+
+def _make_deep_graph() -> nx.DiGraph:
+    """Linear chain: root → A → B → C"""
+    g = nx.DiGraph()
+    g.add_edges_from(
+        [
+            (CELL_ROOT, "CL:0000001"),
+            ("CL:0000001", "CL:0000002"),
+            ("CL:0000002", "CL:0000003"),
+        ]
+    )
+    return g
+
+
+def test_owl_name_to_cl_id_replaces_prefix():
+    """Standard CL_ prefix is converted to CL:."""
+    assert _owl_name_to_cl_id("CL_0000001") == "CL:0000001"
+
+
+def test_owl_name_to_cl_id_only_replaces_first_occurrence():
+    """Only the leading CL_ prefix is replaced; subsequent occurrences are left intact."""
+    assert _owl_name_to_cl_id("CL_CL_0000001") == "CL:CL_0000001"
+
+
+def test_owl_name_to_cl_id_non_cl_name_unchanged():
+    """Non-CL ontology names are returned without modification."""
+    assert _owl_name_to_cl_id("GO_0008150") == "GO_0008150"
+
+
+def _make_mock_class(name: str, label: str, parents=None, children=None):
+    cls = MagicMock()
+    cls.name = name
+    cls.label = [label]
+    cls.__hash__ = lambda self: hash(name)
+    cls.__eq__ = lambda self, other: self.name == getattr(other, "name", None)
+    return cls
+
+
+def test_build_nx_graph_nodes_use_cl_colon_format():
+    """Graph nodes must use CL: format, not the owlready2 internal CL_ format."""
+    a = _make_mock_class("CL_0000000", "cell")
+    b = _make_mock_class("CL_0000001", "somatic cell")
+
+    ontology = MagicMock()
+    ontology.get_parents_of.side_effect = lambda entity: [a] if entity is b else []
+    ontology.get_children_of.side_effect = lambda **kwargs: [b] if kwargs["Class"] is a else []
+
+    graph = build_nx_graph_from_cl_ontology(cl_ontology=ontology, cl_classes=[a, b])
+
+    assert "CL:0000000" in graph.nodes
+    assert "CL:0000001" in graph.nodes
+
+
+def test_build_nx_graph_edges_parent_to_child():
+    """Edges are directed parent → child, not child → parent."""
+    a = _make_mock_class("CL_0000000", "cell")
+    b = _make_mock_class("CL_0000001", "somatic cell")
+
+    ontology = MagicMock()
+    ontology.get_parents_of.side_effect = lambda entity: [a] if entity is b else []
+    ontology.get_children_of.side_effect = lambda **kwargs: [b] if kwargs["Class"] is a else []
+
+    graph = build_nx_graph_from_cl_ontology(cl_ontology=ontology, cl_classes=[a, b])
+
+    assert graph.has_edge("CL:0000000", "CL:0000001")
+    assert not graph.has_edge("CL:0000001", "CL:0000000")
+
+
+def test_build_nx_graph_excludes_out_of_set_parents():
+    """Classes outside the filtered CL set are ignored and create no edges."""
+    a = _make_mock_class("CL_0000000", "cell")
+    b = _make_mock_class("CL_0000001", "somatic cell")
+    external = _make_mock_class("GO_0000000", "external")
+
+    ontology = MagicMock()
+    ontology.get_parents_of.side_effect = lambda entity: [external] if entity is b else []
+    ontology.get_children_of.return_value = []
+
+    graph = build_nx_graph_from_cl_ontology(cl_ontology=ontology, cl_classes=[a, b])
+
+    assert graph.number_of_edges() == 0
+
+
+def test_build_ancestors_dictionary_root_has_no_ancestors():
+    """The ontology root (CL:0000000) has no ancestors."""
+    g = _make_simple_graph()
+    cl_names = sorted(g.nodes)
+    idx_map = {n: i for i, n in enumerate(cl_names)}
+    result = build_ancestors_dictionary(g, cl_names, idx_map)
+    assert result["CL:0000000"] == []
+
+
+def test_build_ancestors_dictionary_leaf_includes_all_ancestors():
+    """Every node on the path from root to a leaf appears in its ancestor list."""
+    g = _make_deep_graph()
+    cl_names = sorted(g.nodes)
+    idx_map = {n: i for i, n in enumerate(cl_names)}
+    result = build_ancestors_dictionary(g, cl_names, idx_map)
+    assert set(result["CL:0000003"]) == {"CL:0000000", "CL:0000001", "CL:0000002"}
+
+
+def test_build_ancestors_dictionary_ordering_follows_idx_map():
+    """Ancestors are returned in ascending cl_names index order, not arbitrary set order."""
+    g = _make_deep_graph()
+    cl_names = sorted(g.nodes)
+    idx_map = {n: i for i, n in enumerate(cl_names)}
+    result = build_ancestors_dictionary(g, cl_names, idx_map)
+    ancestors = result["CL:0000003"]
+    assert ancestors == [cl_names[idx_map[a]] for a in sorted(ancestors, key=lambda x: idx_map[x])]
+
+
+def test_build_ancestors_dictionary_all_keys_present():
+    """Every CL term in the graph has an entry in the output dictionary."""
+    g = _make_simple_graph()
+    cl_names = sorted(g.nodes)
+    idx_map = {n: i for i, n in enumerate(cl_names)}
+    result = build_ancestors_dictionary(g, cl_names, idx_map)
+    assert set(result.keys()) == set(cl_names)
+
+
+def test_build_children_dictionary_root_has_correct_children():
+    """Root's direct children are the two nodes immediately below it in the DAG."""
+    g = _make_simple_graph()
+    cl_names = sorted(g.nodes)
+    result = build_children_dictionary(g, cl_names)
+    assert set(result["CL:0000000"]) == {"CL:0000001", "CL:0000003"}
+
+
+def test_build_children_dictionary_leaf_has_empty_list():
+    """Leaf nodes have an empty children list, not a missing key."""
+    g = _make_simple_graph()
+    cl_names = sorted(g.nodes)
+    result = build_children_dictionary(g, cl_names)
+    assert result["CL:0000002"] == []
+
+
+def test_build_children_dictionary_values_are_sorted():
+    """Children lists are lexicographically sorted for deterministic output."""
+    g = _make_simple_graph()
+    cl_names = sorted(g.nodes)
+    result = build_children_dictionary(g, cl_names)
+    for children in result.values():
+        assert children == sorted(children)
+
+
+def test_build_children_dictionary_all_keys_present():
+    """Every CL term in the graph has an entry, including internal and leaf nodes."""
+    g = _make_deep_graph()
+    cl_names = sorted(g.nodes)
+    result = build_children_dictionary(g, cl_names)
+    assert set(result.keys()) == set(cl_names)
+
+
+def test_shortest_path_root_is_zero():
+    """CL:0000000 has a path length of 0 from itself."""
+    g = _make_deep_graph()
+    result = compute_shortest_path_lengths_from_root(g)
+    assert result[CELL_ROOT] == 0
+
+
+def test_shortest_path_linear_chain():
+    """Each hop along a linear chain increments the path length by 1."""
+    g = _make_deep_graph()
+    result = compute_shortest_path_lengths_from_root(g)
+    assert result["CL:0000001"] == 1
+    assert result["CL:0000002"] == 2
+    assert result["CL:0000003"] == 3
+
+
+def test_shortest_path_diamond_takes_shorter():
+    """
+    root → A (len 1)
+    root → B → A is shorter via root→A directly.
+    Diamond: root→A→C and root→B→C — shortest to C is 2.
+    """
+    g = nx.DiGraph()
+    g.add_edges_from(
+        [
+            (CELL_ROOT, "CL:0000001"),  # root → A, len 1
+            (CELL_ROOT, "CL:0000002"),  # root → B, len 1
+            ("CL:0000001", "CL:0000003"),  # A → C, len 2
+            ("CL:0000002", "CL:0000003"),  # B → C, len 2
+        ]
+    )
+    result = compute_shortest_path_lengths_from_root(g)
+    assert result["CL:0000003"] == 2
+
+
+def test_shortest_path_excludes_unreachable_nodes():
+    """Nodes with no path from the root are absent from the result."""
+    g = _make_deep_graph()
+    g.add_node("CL:9999999")  # disconnected
+    result = compute_shortest_path_lengths_from_root(g)
+    assert "CL:9999999" not in result
+
+
+def test_longest_path_root_is_zero():
+    """CL:0000000 has a longest path length of 0 from itself."""
+    g = _make_deep_graph()
+    result = compute_longest_path_lengths_from_root(g)
+    assert result[CELL_ROOT] == 0
+
+
+def test_longest_path_linear_chain():
+    """On a linear chain, longest path equals shortest path at each node."""
+    g = _make_deep_graph()
+    result = compute_longest_path_lengths_from_root(g)
+    assert result["CL:0000003"] == 3
+
+
+def test_longest_path_prefers_longer_route():
+    """
+    root → A (len 1) → C (len 2)
+    root → B (len 1) → A (len 2) → C (len 3)
+    Longest path to C should be 3.
+    """
+    g = nx.DiGraph()
+    g.add_edges_from(
+        [
+            (CELL_ROOT, "CL:0000001"),  # root → A
+            (CELL_ROOT, "CL:0000002"),  # root → B
+            ("CL:0000002", "CL:0000001"),  # B → A (makes A reachable at depth 2)
+            ("CL:0000001", "CL:0000003"),  # A → C
+        ]
+    )
+    result = compute_longest_path_lengths_from_root(g)
+    assert result["CL:0000003"] == 3
+
+
+def test_longest_path_excludes_unreachable_nodes():
+    """Nodes with no path from the root are absent from the result."""
+    g = _make_deep_graph()
+    g.add_node("CL:9999999")  # disconnected
+    result = compute_longest_path_lengths_from_root(g)
+    assert "CL:9999999" not in result
+
+
+def _make_mock_cl_class(name: str, label: str) -> MagicMock:
+    obj = MagicMock()
+    obj.name = name
+    obj.label = [label]
+    obj.__hash__ = lambda self: hash(name)
+    obj.__eq__ = lambda self, other: getattr(other, "name", None) == name
+    return obj
+
+
+@pytest.fixture
+def minimal_ontology_mock():
+    """
+    Three-node ontology: root → somatic → T cell (linear chain).
+    CL_0000000 → CL_0000003 → CL_0000084
+    """
+    root = _make_mock_cl_class("CL_0000000", "cell")
+    somatic = _make_mock_cl_class("CL_0000003", "somatic cell")
+    tcell = _make_mock_cl_class("CL_0000084", "T cell")
+    classes = [root, somatic, tcell]
+
+    def get_parents_of(entity):
+        if entity is somatic:
+            return [root]
+        if entity is tcell:
+            return [somatic]
+        return []
+
+    def get_children_of(**kwargs):
+        cl = kwargs["Class"]
+        if cl is root:
+            return [somatic]
+        if cl is somatic:
+            return [tcell]
+        return []
+
+    ontology = MagicMock()
+    ontology.classes.return_value = iter(classes)
+    ontology.get_parents_of.side_effect = get_parents_of
+    ontology.get_children_of.side_effect = get_children_of
+    return ontology
+
+
+def test_main_writes_valid_json(minimal_ontology_mock):
+    """CLI produces a JSON file containing exactly the five expected top-level keys."""
+    runner = CliRunner()
+    with tempfile.TemporaryDirectory() as tmpdir:
+        output_path = str(Path(tmpdir) / "resource.json")
+        with patch("scripts.create_cell_ontology_resource.owlready2") as mock_owlready2:
+            mock_owlready2.get_ontology.return_value.load.return_value = minimal_ontology_mock
+            result = runner.invoke(main, ["--owl-url", "fake://cl.owl", "--output", output_path])
+
+        assert result.exit_code == 0, result.output
+        with open(output_path) as f:
+            data = json.load(f)
+
+    assert set(data.keys()) == {
+        "ancestors_dictionary",
+        "cell_ontology_term_id_to_cell_type",
+        "children_dictionary",
+        "shortest_path_lengths_from_cell_root",
+        "longest_path_lengths_from_cell_root",
+    }
+
+
+def test_main_output_uses_cl_colon_format(minimal_ontology_mock):
+    """All ontology term keys in the output use CL: format, not the owlready2 CL_ format."""
+    runner = CliRunner()
+    with tempfile.TemporaryDirectory() as tmpdir:
+        output_path = str(Path(tmpdir) / "resource.json")
+        with patch("scripts.create_cell_ontology_resource.owlready2") as mock_owlready2:
+            mock_owlready2.get_ontology.return_value.load.return_value = minimal_ontology_mock
+            runner.invoke(main, ["--owl-url", "fake://cl.owl", "--output", output_path])
+
+        with open(output_path) as f:
+            data = json.load(f)
+
+    for key in data["ancestors_dictionary"]:
+        assert key.startswith("CL:"), f"Found non-CL: key: {key}"
+    for key in data["cell_ontology_term_id_to_cell_type"]:
+        assert key.startswith("CL:"), f"Found non-CL: key: {key}"
+
+
+def test_main_ancestors_of_root_are_empty(minimal_ontology_mock):
+    """The ontology root has no ancestors in the output JSON."""
+    runner = CliRunner()
+    with tempfile.TemporaryDirectory() as tmpdir:
+        output_path = str(Path(tmpdir) / "resource.json")
+        with patch("scripts.create_cell_ontology_resource.owlready2") as mock_owlready2:
+            mock_owlready2.get_ontology.return_value.load.return_value = minimal_ontology_mock
+            runner.invoke(main, ["--owl-url", "fake://cl.owl", "--output", output_path])
+
+        with open(output_path) as f:
+            data = json.load(f)
+
+    assert data["ancestors_dictionary"]["CL:0000000"] == []
+
+
+def test_main_shortest_and_longest_agree_on_linear_chain(minimal_ontology_mock):
+    """On a linear chain (no branching), shortest and longest path lengths are identical."""
+    runner = CliRunner()
+    with tempfile.TemporaryDirectory() as tmpdir:
+        output_path = str(Path(tmpdir) / "resource.json")
+        with patch("scripts.create_cell_ontology_resource.owlready2") as mock_owlready2:
+            mock_owlready2.get_ontology.return_value.load.return_value = minimal_ontology_mock
+            runner.invoke(main, ["--owl-url", "fake://cl.owl", "--output", output_path])
+
+        with open(output_path) as f:
+            data = json.load(f)
+
+    # Linear chain — shortest == longest for every node
+    shortest = data["shortest_path_lengths_from_cell_root"]
+    longest = data["longest_path_lengths_from_cell_root"]
+    for key in shortest:
+        assert shortest[key] == longest[key], f"Mismatch for {key}"
+
+
+def test_main_missing_required_args_fails():
+    """Invoking CLI without required arguments exits with a non-zero status."""
+    runner = CliRunner()
+    result = runner.invoke(main, [])
+    assert result.exit_code != 0
diff --git a/tests/unit/test_cellarium_general_service.py b/tests/unit/test_cellarium_general_service.py
index 4f6e2be6..82f1ff5a 100644
--- a/tests/unit/test_cellarium_general_service.py
+++ b/tests/unit/test_cellarium_general_service.py
@@ -2,27 +2,222 @@
 Tests things in the cellarium_general_service that can reasonably be tested with a unit test.
 """
 
+import json
+import typing as t
+
 from mockito import mock, unstub
 import pytest
 
+from cellarium.cas_backend.apps.compute.schemas import CellOntologyResourceResponse
+from cellarium.cas_backend.apps.compute.schemas.cellarium_general import CASModel as CASModelSchema
+from cellarium.cas_backend.apps.compute.schemas.cellarium_general import OntologicalColumnInfo
 from cellarium.cas_backend.apps.compute.services.cellarium_general_service import CellariumGeneralService
+from cellarium.cas_backend.apps.compute.services.consensus_engine.strategies.ontology_aware import CellOntologyResource
 from cellarium.cas_backend.apps.compute.services.exceptions import InvalidClientVersionException
 from cellarium.cas_backend.core import constants
 
 
-class TestCellariumGeneralService:
-    def setup_method(self) -> None:
-        self.cellarium_general_service = CellariumGeneralService(cellarium_general_dm=mock())
+@pytest.fixture
+def cellarium_general_service():
+    service = CellariumGeneralService(cellarium_general_dm=mock())
+    yield service
+    unstub()
+
+
+@pytest.fixture
+def ontology_resource_dict() -> dict[str, t.Any]:
+    filepath = "tests/unit/test_consensus_engine_fixtures/cell_ontology_resource_mini.json"
+    with open(filepath) as f:
+        return json.load(f)
+
+
+@pytest.fixture
+def ontology_resource(ontology_resource_dict) -> CellOntologyResource:
+    return CellOntologyResource(cell_ontology_resource_dict=ontology_resource_dict)
+
+
+def test_validate_client_version_valid(cellarium_general_service):
+    """A version matching the minimum required version is accepted."""
+    assert cellarium_general_service.validate_client_version(constants.MIN_CLIENT_VERSION)
+
+
+def test_validate_client_version_too_old(cellarium_general_service):
+    """A version below the minimum returns False without raising."""
+    assert not cellarium_general_service.validate_client_version("1.3.0")
+
+
+def test_validate_client_version_invalid(cellarium_general_service):
+    """A non-semver string raises InvalidClientVersionException."""
+    with pytest.raises(InvalidClientVersionException):
+        cellarium_general_service.validate_client_version("invalid_version")
+
+
+def test_cl_names_is_sorted(ontology_resource):
+    """cl_names are in lexicographic order for stable downstream enumeration."""
+    assert ontology_resource.cl_names == sorted(ontology_resource.cl_names)
+
+
+def test_cl_names_contains_all_term_ids(ontology_resource, ontology_resource_dict):
+    """cl_names covers exactly the same terms as cell_ontology_term_id_to_cell_type."""
+    assert set(ontology_resource.cl_names) == set(ontology_resource_dict["cell_ontology_term_id_to_cell_type"].keys())
+
+
+def test_children_dictionary_loaded(ontology_resource, ontology_resource_dict):
+    """children_dictionary is populated and matches the raw fixture data."""
+    assert ontology_resource.children_dictionary is not None
+    assert ontology_resource.children_dictionary == ontology_resource_dict["children_dictionary"]
+
+
+def test_shortest_path_lengths_loaded(ontology_resource):
+    """shortest_path_lengths_from_cell_root is populated and root has length 0."""
+    assert ontology_resource.shortest_path_lengths_from_cell_root is not None
+    assert ontology_resource.shortest_path_lengths_from_cell_root["CL:0000000"] == 0
+
+
+def test_longest_path_lengths_loaded(ontology_resource):
+    """longest_path_lengths_from_cell_root is populated and root has length 0."""
+    assert ontology_resource.longest_path_lengths_from_cell_root is not None
+    assert ontology_resource.longest_path_lengths_from_cell_root["CL:0000000"] == 0
+
+
+def test_new_fields_optional_when_missing(ontology_resource_dict):
+    """CellOntologyResource can be built from a legacy dict missing the three new fields."""
+    minimal_dict = {
+        "ancestors_dictionary": ontology_resource_dict["ancestors_dictionary"],
+        "cell_ontology_term_id_to_cell_type": ontology_resource_dict["cell_ontology_term_id_to_cell_type"],
+    }
+    resource = CellOntologyResource(cell_ontology_resource_dict=minimal_dict)
+    assert resource.children_dictionary is None
+    assert resource.shortest_path_lengths_from_cell_root is None
+    assert resource.longest_path_lengths_from_cell_root is None
+
+
+def test_response_has_correct_keys(ontology_resource):
+    """Serialized response contains exactly the five public fields; ancestors_dictionary is excluded."""
+    response = CellOntologyResourceResponse(
+        cl_names=ontology_resource.cl_names,
+        cell_ontology_term_id_to_cell_type=ontology_resource.ontology_term_id_to_name_dict,
+        children_dictionary=ontology_resource.children_dictionary,
+        shortest_path_lengths_from_cell_root=ontology_resource.shortest_path_lengths_from_cell_root,
+        longest_path_lengths_from_cell_root=ontology_resource.longest_path_lengths_from_cell_root,
+    )
+    dumped = response.model_dump()
+    assert set(dumped.keys()) == {
+        "cl_names",
+        "cell_ontology_term_id_to_cell_type",
+        "children_dictionary",
+        "shortest_path_lengths_from_cell_root",
+        "longest_path_lengths_from_cell_root",
+    }
+    assert "ancestors_dictionary" not in dumped
+
+
+def test_cl_names_sorted_in_response(ontology_resource):
+    """cl_names in the serialized response are in lexicographic order."""
+    response = CellOntologyResourceResponse(
+        cl_names=ontology_resource.cl_names,
+        cell_ontology_term_id_to_cell_type=ontology_resource.ontology_term_id_to_name_dict,
+        children_dictionary=ontology_resource.children_dictionary,
+        shortest_path_lengths_from_cell_root=ontology_resource.shortest_path_lengths_from_cell_root,
+        longest_path_lengths_from_cell_root=ontology_resource.longest_path_lengths_from_cell_root,
+    )
+    assert response.cl_names == sorted(response.cl_names)
+
+
+def test_ontological_column_info_from_attributes():
+    """OntologicalColumnInfo is populated correctly from object attributes."""
+
+    class FakeOntologicalColumn:
+        ontology_resource_name = "cell_type"
+        column_name = "cell_type"
+        description = "Cell type ontology"
+
+    info = OntologicalColumnInfo.model_validate(FakeOntologicalColumn(), from_attributes=True)
+    assert info.ontology_resource_name == "cell_type"
+    assert info.column_name == "cell_type"
+    assert info.description == "Cell type ontology"
+
+
+def test_ontological_column_info_description_optional():
+    """OntologicalColumnInfo description defaults to None when not set."""
+
+    class FakeOntologicalColumn:
+        ontology_resource_name = "disease"
+        column_name = "disease"
+        description = None
+
+    info = OntologicalColumnInfo.model_validate(FakeOntologicalColumn(), from_attributes=True)
+    assert info.description is None
+
+
+def test_cas_model_ontological_columns_populated():
+    """CASModel reads ontological_columns via AliasPath through cell_info_metadata."""
+
+    class FakeColumn:
+        ontology_resource_name = "cell_type"
+        column_name = "cell_type"
+        description = "Cell type ontology"
+
+    class FakeCellInfoMetadata:
+        ontological_columns = [FakeColumn()]
+
+    class FakeCASModel:
+        model_name = "human-pca-001"
+        description = "Test model"
+        schema_name = "refdata-gex-GRCh38-2020-A"
+        is_default_model = False
+        embedding_dimension = 512
+        cell_info_metadata = FakeCellInfoMetadata()
+
+    schema = CASModelSchema.model_validate(FakeCASModel(), from_attributes=True)
+    assert len(schema.ontological_columns) == 1
+    assert schema.ontological_columns[0].ontology_resource_name == "cell_type"
+    assert schema.ontological_columns[0].column_name == "cell_type"
+    assert schema.ontological_columns[0].description == "Cell type ontology"
+
+
+def test_cas_model_ontological_columns_empty_list():
+    """CASModel ontological_columns defaults to an empty list when cell_info_metadata has none."""
+
+    class FakeCellInfoMetadata:
+        ontological_columns = []
+
+    class FakeCASModel:
+        model_name = "human-pca-001"
+        description = "Test model"
+        schema_name = "refdata-gex-GRCh38-2020-A"
+        is_default_model = False
+        embedding_dimension = 512
+        cell_info_metadata = FakeCellInfoMetadata()
+
+    schema = CASModelSchema.model_validate(FakeCASModel(), from_attributes=True)
+    assert schema.ontological_columns == []
+
+
+def test_cas_model_multiple_ontological_columns():
+    """CASModel includes all ontological columns when multiple are associated."""
 
-    def teardown_method(self) -> None:
-        unstub()
+    class FakeColumn:
+        def __init__(self, name, col, desc):
+            self.ontology_resource_name = name
+            self.column_name = col
+            self.description = desc
 
-    def test_validate_client_version_valid(self):
-        assert self.cellarium_general_service.validate_client_version(constants.MIN_CLIENT_VERSION)
+    class FakeCellInfoMetadata:
+        ontological_columns = [
+            FakeColumn("cell_type", "cell_type", "Cell type"),
+            FakeColumn("disease", "disease", None),
+        ]
 
-    def test_validate_client_version_too_old(self):
-        assert not self.cellarium_general_service.validate_client_version("1.3.0")
+    class FakeCASModel:
+        model_name = "human-pca-001"
+        description = "Test model"
+        schema_name = "refdata-gex-GRCh38-2020-A"
+        is_default_model = False
+        embedding_dimension = 512
+        cell_info_metadata = FakeCellInfoMetadata()
 
-    def test_validate_client_version_invalid(self):
-        with pytest.raises(InvalidClientVersionException):
-            self.cellarium_general_service.validate_client_version("invalid_version")
+    schema = CASModelSchema.model_validate(FakeCASModel(), from_attributes=True)
+    assert len(schema.ontological_columns) == 2
+    names = {c.ontology_resource_name for c in schema.ontological_columns}
+    assert names == {"cell_type", "disease"}
diff --git a/tests/unit/test_consensus_engine_fixtures/cell_ontology_resource_mini.json b/tests/unit/test_consensus_engine_fixtures/cell_ontology_resource_mini.json
index f67568d3..b9bb909d 100644
--- a/tests/unit/test_consensus_engine_fixtures/cell_ontology_resource_mini.json
+++ b/tests/unit/test_consensus_engine_fixtures/cell_ontology_resource_mini.json
@@ -1,121 +1,169 @@
 {
   "ancestors_dictionary": {
-    "CL_0000000": [],
-    "CL_0000003": [
-      "CL_0000000"
+    "CL:0000000": [],
+    "CL:0000003": [
+      "CL:0000000"
     ],
-    "CL_0000548": [
-      "CL_0000000",
-      "CL_0000003",
-      "CL_0000255"
+    "CL:0000548": [
+      "CL:0000000",
+      "CL:0000003",
+      "CL:0000255"
     ],
-    "CL_0000988": [
-      "CL_0000000",
-      "CL_0000003",
-      "CL_0000548",
-      "CL_0002371",
-      "CL_0000255"
+    "CL:0000988": [
+      "CL:0000000",
+      "CL:0000003",
+      "CL:0000548",
+      "CL:0002371",
+      "CL:0000255"
     ],
-    "CL_0002371": [
-      "CL_0000000",
-      "CL_0000003"
+    "CL:0002371": [
+      "CL:0000000",
+      "CL:0000003"
     ],
-    "CL_0000738": [
-      "CL_0000000",
-      "CL_0000003",
-      "CL_0000548",
-      "CL_0000988",
-      "CL_0002371",
-      "CL_0000219",
-      "CL_0002242",
-      "CL_0000255"
+    "CL:0000738": [
+      "CL:0000000",
+      "CL:0000003",
+      "CL:0000548",
+      "CL:0000988",
+      "CL:0002371",
+      "CL:0000219",
+      "CL:0002242",
+      "CL:0000255"
     ],
-    "CL_0000084": [
-      "CL_0000000",
-      "CL_0000003",
-      "CL_0000548",
-      "CL_0000988",
-      "CL_0002371",
-      "CL_0000738",
-      "CL_0000542",
-      "CL_0000226",
-      "CL_0000219",
-      "CL_0002242",
-      "CL_0000255",
-      "CL_0000842"
+    "CL:0000084": [
+      "CL:0000000",
+      "CL:0000003",
+      "CL:0000548",
+      "CL:0000988",
+      "CL:0002371",
+      "CL:0000738",
+      "CL:0000542",
+      "CL:0000226",
+      "CL:0000219",
+      "CL:0002242",
+      "CL:0000255",
+      "CL:0000842"
     ],
-    "CL_0000542": [
-      "CL_0000000",
-      "CL_0000003",
-      "CL_0000548",
-      "CL_0000988",
-      "CL_0002371",
-      "CL_0000738",
-      "CL_0000226",
-      "CL_0000219",
-      "CL_0002242",
-      "CL_0000255",
-      "CL_0000842"
+    "CL:0000542": [
+      "CL:0000000",
+      "CL:0000003",
+      "CL:0000548",
+      "CL:0000988",
+      "CL:0002371",
+      "CL:0000738",
+      "CL:0000226",
+      "CL:0000219",
+      "CL:0002242",
+      "CL:0000255",
+      "CL:0000842"
     ],
-    "CL_0000226": [
-      "CL_0000000",
-      "CL_0000003",
-      "CL_0002242"
+    "CL:0000226": [
+      "CL:0000000",
+      "CL:0000003",
+      "CL:0002242"
     ],
-    "CL_0000219": [
-      "CL_0000000",
-      "CL_0000003"
+    "CL:0000219": [
+      "CL:0000000",
+      "CL:0000003"
     ],
-    "CL_0002242": [
-      "CL_0000000",
-      "CL_0000003"
+    "CL:0002242": [
+      "CL:0000000",
+      "CL:0000003"
     ],
-    "CL_0000255": [
-      "CL_0000000",
-      "CL_0000003"
+    "CL:0000255": [
+      "CL:0000000",
+      "CL:0000003"
     ],
-    "CL_0000842": [
-      "CL_0000000",
-      "CL_0000003",
-      "CL_0000548",
-      "CL_0000988",
-      "CL_0002371",
-      "CL_0000738",
-      "CL_0000226",
-      "CL_0000219",
-      "CL_0002242",
-      "CL_0000255"
+    "CL:0000842": [
+      "CL:0000000",
+      "CL:0000003",
+      "CL:0000548",
+      "CL:0000988",
+      "CL:0002371",
+      "CL:0000738",
+      "CL:0000226",
+      "CL:0000219",
+      "CL:0002242",
+      "CL:0000255"
     ],
-    "CL_0000789": [
-      "CL_0000000",
-      "CL_0000003",
-      "CL_0000548",
-      "CL_0000988",
-      "CL_0002371",
-      "CL_0000738",
-      "CL_0000084",
-      "CL_0000542",
-      "CL_0000226",
-      "CL_0000219",
-      "CL_0002242",
-      "CL_0000255",
-      "CL_0000842"
+    "CL:0000789": [
+      "CL:0000000",
+      "CL:0000003",
+      "CL:0000548",
+      "CL:0000988",
+      "CL:0002371",
+      "CL:0000738",
+      "CL:0000084",
+      "CL:0000542",
+      "CL:0000226",
+      "CL:0000219",
+      "CL:0002242",
+      "CL:0000255",
+      "CL:0000842"
     ]
   },
   "cell_ontology_term_id_to_cell_type": {
-    "CL_0000000": "cell",
-    "CL_0000003": "native cell",
-    "CL_0000548": "animal cell",
-    "CL_0000988": "hematopoietic cell",
-    "CL_0002371": "somatic cell",
-    "CL_0000738": "leukocyte",
-    "CL_0000084": "T cell",
-    "CL_0000542": "lymphocyte",
-    "CL_0000226": "single nucleate cell",
-    "CL_0000219": "motile cell",
-    "CL_0002242": "nucleate cell",
-    "CL_0000255": "eukaryotic cell",
-    "CL_0000842": "mononuclear cell",
-    "CL_0000789": "alpha-beta T cell"
+    "CL:0000000": "cell",
+    "CL:0000003": "native cell",
+    "CL:0000548": "animal cell",
+    "CL:0000988": "hematopoietic cell",
+    "CL:0002371": "somatic cell",
+    "CL:0000738": "leukocyte",
+    "CL:0000084": "T cell",
+    "CL:0000542": "lymphocyte",
+    "CL:0000226": "single nucleate cell",
+    "CL:0000219": "motile cell",
+    "CL:0002242": "nucleate cell",
+    "CL:0000255": "eukaryotic cell",
+    "CL:0000842": "mononuclear cell",
+    "CL:0000789": "alpha-beta T cell"
+  },
+  "children_dictionary": {
+    "CL:0000000": ["CL:0000003"],
+    "CL:0000003": ["CL:0000219", "CL:0000255", "CL:0002242", "CL:0002371"],
+    "CL:0000084": ["CL:0000789"],
+    "CL:0000219": ["CL:0000738"],
+    "CL:0000226": ["CL:0000842"],
+    "CL:0000255": ["CL:0000548"],
+    "CL:0000542": ["CL:0000084"],
+    "CL:0000548": ["CL:0000988"],
+    "CL:0000738": ["CL:0000842"],
+    "CL:0000789": [],
+    "CL:0000842": ["CL:0000542"],
+    "CL:0000988": ["CL:0000738"],
+    "CL:0002242": ["CL:0000226", "CL:0000738"],
+    "CL:0002371": ["CL:0000988"]
+  },
+  "shortest_path_lengths_from_cell_root": {
+    "CL:0000000": 0,
+    "CL:0000003": 1,
+    "CL:0000084": 6,
+    "CL:0000219": 2,
+    "CL:0000226": 3,
+    "CL:0000255": 2,
+    "CL:0000542": 5,
+    "CL:0000548": 3,
+    "CL:0000738": 3,
+    "CL:0000789": 7,
+    "CL:0000842": 4,
+    "CL:0000988": 3,
+    "CL:0002242": 2,
+    "CL:0002371": 2
+  },
+  "longest_path_lengths_from_cell_root": {
+    "CL:0000000": 0,
+    "CL:0000003": 1,
+    "CL:0000084": 8,
+    "CL:0000219": 2,
+    "CL:0000226": 3,
+    "CL:0000255": 2,
+    "CL:0000542": 7,
+    "CL:0000548": 3,
+    "CL:0000738": 5,
+    "CL:0000789": 9,
+    "CL:0000842": 6,
+    "CL:0000988": 4,
+    "CL:0002242": 2,
+    "CL:0002371": 2
   }
 }
\ No newline at end of file
diff --git a/tests/unit/test_consensus_engine_fixtures/ontology_aware_expected_response.json b/tests/unit/test_consensus_engine_fixtures/ontology_aware_expected_response.json
index 96694656..de073da6 100644
--- a/tests/unit/test_consensus_engine_fixtures/ontology_aware_expected_response.json
+++ b/tests/unit/test_consensus_engine_fixtures/ontology_aware_expected_response.json
@@ -4,72 +4,72 @@
     "matches": [
       {
         "score": 1,
-        "cell_type_ontology_term_id": "CL_0000000",
+        "cell_type_ontology_term_id": "CL:0000000",
         "cell_type": "cell"
       },
       {
         "score": 1,
-        "cell_type_ontology_term_id": "CL_0000003",
+        "cell_type_ontology_term_id": "CL:0000003",
         "cell_type": "native cell"
       },
       {
         "score": 1,
-        "cell_type_ontology_term_id": "CL_0000548",
+        "cell_type_ontology_term_id": "CL:0000548",
         "cell_type": "animal cell"
       },
       {
         "score": 1,
-        "cell_type_ontology_term_id": "CL_0000988",
+        "cell_type_ontology_term_id": "CL:0000988",
         "cell_type": "hematopoietic cell"
       },
       {
         "score": 1,
-        "cell_type_ontology_term_id": "CL_0002371",
+        "cell_type_ontology_term_id": "CL:0002371",
         "cell_type": "somatic cell"
       },
       {
         "score": 1,
-        "cell_type_ontology_term_id": "CL_0000738",
+        "cell_type_ontology_term_id": "CL:0000738",
         "cell_type": "leukocyte"
       },
       {
         "score": 1,
-        "cell_type_ontology_term_id": "CL_0000084",
+        "cell_type_ontology_term_id": "CL:0000084",
         "cell_type": "T cell"
       },
       {
         "score": 1,
-        "cell_type_ontology_term_id": "CL_0000542",
+        "cell_type_ontology_term_id": "CL:0000542",
         "cell_type": "lymphocyte"
       },
       {
         "score": 1,
-        "cell_type_ontology_term_id": "CL_0000226",
+        "cell_type_ontology_term_id": "CL:0000226",
         "cell_type": "single nucleate cell"
       },
       {
         "score": 1,
-        "cell_type_ontology_term_id": "CL_0000219",
+        "cell_type_ontology_term_id": "CL:0000219",
         "cell_type": "motile cell"
       },
       {
         "score": 1,
-        "cell_type_ontology_term_id": "CL_0002242",
+        "cell_type_ontology_term_id": "CL:0002242",
         "cell_type": "nucleate cell"
       },
       {
         "score": 1,
-        "cell_type_ontology_term_id": "CL_0000255",
+        "cell_type_ontology_term_id": "CL:0000255",
         "cell_type": "eukaryotic cell"
       },
       {
         "score": 1,
-        "cell_type_ontology_term_id": "CL_0000842",
+        "cell_type_ontology_term_id": "CL:0000842",
         "cell_type": "mononuclear cell"
       },
       {
         "score": 0.4915262351434047,
-        "cell_type_ontology_term_id": "CL_0000789",
+        "cell_type_ontology_term_id": "CL:0000789",
         "cell_type": "alpha-beta T cell"
       }
     ],