Add comprehensive tests for ONNX models and server jobs

- Introduced tests for the Moge3 ONNX model, including input validation, inference, and caching mechanisms.
- Added tests for ONNX runtime configurations and session management.
- Implemented tests for image upscaling functionality using ONNX models, ensuring proper handling of alpha channels and memory management.
- Created tests for panorama generation, verifying depth and visibility metrics.
- Developed tests for prediction artifacts, ensuring correct depth and normal data handling.
- Added server job tests for background removal and depth plane geometry generation, validating input handling and output correctness.
- Included environment tests to ensure proper dependency management and CI configurations.

tests/ai/__init__.py

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+"""AI inference tests run locally."""

tests/tools/test_environments.py

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+import tomllib
+
+from tests.support.paths import PROJECT_ROOT
+
+
+def project_configuration():
+    return tomllib.loads(
+        (PROJECT_ROOT / "pyproject.toml").read_text(encoding="utf-8")
+    )
+
+
+def group_packages(configuration, name):
+    groups = configuration["dependency-groups"]
+    packages = set()
+    for item in groups[name]:
+        if isinstance(item, dict):
+            packages.update(group_packages(configuration, item["include-group"]))
+        else:
+            packages.add(item.split("==", 1)[0].split(">=", 1)[0])
+    return packages
+
+
+def test_capability_groups_keep_ci_dependencies_small():
+    configuration = project_configuration()
+    groups = configuration["dependency-groups"]
+    assert set(groups) == {"dev", "blender", "ai", "models", "docs"}
+    ci_packages = group_packages(configuration, "dev") | group_packages(
+        configuration, "blender"
+    )
+    assert ci_packages.isdisjoint(
+        {"huggingface-hub", "onnx", "onnxruntime", "torch"}
+    )
+
+
+def test_ai_and_model_groups_own_their_runtime_dependencies():
+    configuration = project_configuration()
+    assert {"huggingface-hub", "onnxruntime"} <= group_packages(
+        configuration, "ai"
+    )
+    assert {"onnx", "onnxruntime", "torch"} <= group_packages(
+        configuration, "models"
+    )
+
+
+def test_workflows_run_the_regular_blender_suite():
+    command = "uv run --group blender pytest tests/anyimage tests/tools"
+    for name in ("test.yml", "release.yml"):
+        workflow = (PROJECT_ROOT / ".github" / "workflows" / name).read_text(
+            encoding="utf-8"
+        )
+        assert command in workflow
+
+    release = (PROJECT_ROOT / ".github" / "workflows" / "release.yml").read_text(
+        encoding="utf-8"
+    )
+    assert "uv run pack" in release