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agentgraph/shared/method_registry.py

@@ -23,6 +23,18 @@ class SchemaType(Enum):
 
 # Method Registry - maps method names to their implementations and schemas
 AVAILABLE_METHODS = {
+    # Production method: OpenAI Structured Outputs (simple, direct_call)
+    "openai_structured": {
+        "name": "OpenAI Structured Outputs",
+        "description": "Simple OpenAI structured outputs extractor using Pydantic models",
+        "method_type": MethodType.PRODUCTION,
+        "schema_type": SchemaType.REFERENCE_BASED,
+        "module_path": "agentgraph.methods.production.openai_structured_extractor",
+        "class_name": "OpenAIStructuredFactory",
+        "supported_features": ["structured_outputs", "direct_extraction"],
+        "processing_type": "direct_call"
+    },
+
     # Production method using reference-based schema
     "production": {
         "name": "Multi-Agent Knowledge Extractor",
@@ -150,7 +162,7 @@ AVAILABLE_METHODS = {
 
 
 # Default method configuration
-DEFAULT_METHOD = "production"
+DEFAULT_METHOD = "openai_structured"
 
 
 def get_available_methods() -> Dict[str, Dict[str, Any]]:
@@ -226,4 +238,4 @@ def get_method_description(method_name: str) -> str:
 def validate_method_schema_compatibility(method_name: str, expected_schema: SchemaType) -> bool:
     """Validate that a method uses the expected schema type"""
     method_schema = get_schema_for_method(method_name)
-    return method_schema == expected_schema if method_schema else False 
+    return method_schema == expected_schema if method_schema else False