refactoring: add initial pipeline configuration and model classes

core/config/pipeline_config.py

@@ -0,0 +1,29 @@
+from pydantic import BaseModel
+
+from core.config.logging_config import LoggingConfig
+from core.config.data_config import DataConfig
+from core.config.llm_config import LLMConfig
+from core.config.processing_config import ProcessingConfig
+from core.config.project_paths import ProjectPaths
+
+
+class PipelineConfig(BaseModel):
+    """Main pipeline configuration"""
+
+    name: str = "drc_names_pipeline"
+    version: str = "1.0.0"
+    description: str = "DRC Names NLP Processing Pipeline"
+
+    paths: ProjectPaths
+    stages: list[str] = []
+    processing: ProcessingConfig = ProcessingConfig()
+    llm: LLMConfig = LLMConfig()
+    data: DataConfig = DataConfig()
+    logging: LoggingConfig = LoggingConfig()
+
+    # Environment-specific settings
+    environment: str = "development"
+    debug: bool = True
+
+    class Config:
+        arbitrary_types_allowed = True