- Introduction of dynamic Retrievers & Specialists

- Introduction of dynamic Processors
- Introduction of caching system
- Introduction of a better template manager
- Adaptation of ModelVariables to support dynamic Processors / Retrievers / Specialists
- Start adaptation of chat client

eveai_chat_workers/retrievers/registry.py

@@ -0,0 +1,20 @@
+from typing import Dict, Type
+from .base import BaseRetriever
+
+
+class RetrieverRegistry:
+    """Registry for retriever types"""
+
+    _registry: Dict[str, Type[BaseRetriever]] = {}
+
+    @classmethod
+    def register(cls, retriever_type: str, retriever_class: Type[BaseRetriever]):
+        """Register a new retriever type"""
+        cls._registry[retriever_type] = retriever_class
+
+    @classmethod
+    def get_retriever_class(cls, retriever_type: str) -> Type[BaseRetriever]:
+        """Get the retriever class for a given type"""
+        if retriever_type not in cls._registry:
+            raise ValueError(f"Unknown retriever type: {retriever_type}")
+        return cls._registry[retriever_type]