fix: Preserve GLiNER config fields through Pydantic validation

presidio-analyzer/presidio_analyzer/input_validation/__init__.py

@@ -5,6 +5,8 @@
 from .yaml_recognizer_models import (
     BaseRecognizerConfig,
     CustomRecognizerConfig,
+    GLiNERRecognizerConfig,
+    HuggingFaceRecognizerConfig,
     LanguageContextConfig,
     PredefinedRecognizerConfig,
     RecognizerRegistryConfig,
@@ -15,6 +17,8 @@
     "ConfigurationValidator",
     "BaseRecognizerConfig",
     "CustomRecognizerConfig",
+    "GLiNERRecognizerConfig",
+    "HuggingFaceRecognizerConfig",
     "LanguageContextConfig",
     "PredefinedRecognizerConfig",
     "RecognizerRegistryConfig",

presidio-analyzer/presidio_analyzer/input_validation/yaml_recognizer_models.py

@@ -176,6 +176,23 @@ class HuggingFaceRecognizerConfig(PredefinedRecognizerConfig):
     )
 
 
+class GLiNERRecognizerConfig(PredefinedRecognizerConfig):
+    """Configuration specifically for GLiNER models."""
+
+    model_config = ConfigDict(extra="forbid")
+
+    model_name: Optional[str] = Field(None, description="GLiNER model name")
+    flat_ner: Optional[bool] = Field(None, description="Use flat NER")
+    multi_label: Optional[bool] = Field(
+        None, description="Use multi-label classification"
+    )
+    threshold: Optional[float] = Field(None, description="Confidence threshold")
+    map_location: Optional[str] = Field(None, description="Device (cpu/gpu/etc.)")
+    load_onnx_model: Optional[bool] = Field(None, description="Load ONNX model")
+    onnx_model_file: Optional[str] = Field(None, description="ONNX model file name")
+    entity_mapping: Optional[Dict[str, str]] = Field(None, description="Entity mapping")
+
+
 class CustomRecognizerConfig(BaseRecognizerConfig):
     """Configuration for custom pattern-based recognizers."""
 
@@ -463,4 +480,5 @@ def validate_language_presence(self):
 # This allows for modular expansion without polluting the base config
 CONFIG_MODEL_MAP: Dict[str, Type[BaseModel]] = {
     "HuggingFaceNerRecognizer": HuggingFaceRecognizerConfig,
+    "GLiNERRecognizer": GLiNERRecognizerConfig,
 }

presidio-analyzer/tests/test_yaml_recognizer_models.py

@@ -627,6 +627,37 @@ def test_recognizer_registry_config_custom_name_with_hf_class():
     assert recognizer.model_name == "TestModel/Ner"
 
 
+def test_gliner_recognizer_config_model_name():
+    """Test that GLiNERRecognizer model_name is preserved through config validation."""
+    from presidio_analyzer.input_validation.yaml_recognizer_models import (
+        GLiNERRecognizerConfig,
+        RecognizerRegistryConfig,
+    )
+
+    registry_config = {
+        "recognizers": [
+            {
+                "name": "GLiNERRecognizer",
+                "type": "predefined",
+                "supported_language": "en",
+                "model_name": "custom/gliner-model",
+                "threshold": 0.5,
+                "flat_ner": False,
+                "multi_label": True,
+            }
+        ]
+    }
+
+    config = RecognizerRegistryConfig(**registry_config)
+    recognizer = config.recognizers[0]
+
+    assert isinstance(recognizer, GLiNERRecognizerConfig)
+    assert recognizer.model_name == "custom/gliner-model"
+    assert recognizer.threshold == 0.5
+    assert recognizer.flat_ner is False
+    assert recognizer.multi_label is True
+
+
 def test_config_model_map_fallback_to_predefined():
     """Test CONFIG_MODEL_MAP falls back to Predefined for unknown class_name."""
     from presidio_analyzer.input_validation.yaml_recognizer_models import (