chore: import upstream snapshot with attribution

paralegal-agent-crew/config/settings.py

@@ -0,0 +1,44 @@
+import os
+from pathlib import Path
+from pydantic_settings import BaseSettings
+
+class Settings(BaseSettings):
+    # API Keys
+    openai_api_key: str
+    firecrawl_api_key: str
+    
+    # Model Configuration
+    embedding_model: str = "BAAI/bge-large-en-v1.5"
+    llm_model: str = "gpt-3.5-turbo"
+    vector_dim: int = 1024
+    
+    # Retrieval Configuration
+    top_k: int = 3
+    batch_size: int = 512
+    rerank_top_k: int = 3
+    
+    # Database Configuration
+    milvus_db_path: str = "./data/milvus_binary.db"
+    collection_name: str = "paralegal_agent"
+    
+    # Data Configuration
+    docs_path: str = "./data/raft.pdf"
+
+    # Cache Configuration
+    hf_cache_dir: str = "./cache/hf_cache"
+    
+    # LLM settings
+    temperature: float = 0.6
+    max_tokens: int = 1000
+    
+    class Config:
+        env_file = ".env"
+        case_sensitive = False
+    
+    def __post_init__(self):
+        # Create necessary directories
+        Path(self.milvus_db_path).parent.mkdir(parents=True, exist_ok=True)
+        Path(self.hf_cache_dir).mkdir(parents=True, exist_ok=True)
+
+# Global settings instance
+settings = Settings()