make rag into tool

lang_agent/rag/simple.py

@@ -1,22 +1,22 @@
 from dataclasses import dataclass, field
-from typing import Type
+from typing import Type, List
 import tyro
 from mcp.server.fastmcp import FastMCP
-from typing import List
 import tyro
 
 from langchain_community.vectorstores import FAISS
 from langchain_core.documents.base import Document
 
 from lang_agent.rag.emb import QwenEmbeddings
-from lang_agent.config import InstantiateConfig
+from lang_agent.config import ToolConfig
+from lang_agent.base import LangToolBase
 
 
 mcp = FastMCP("Rag")
 
 @tyro.conf.configure(tyro.conf.SuppressFixed)
 @dataclass
-class SimpleRagConfig(InstantiateConfig):
+class SimpleRagConfig(ToolConfig):
     _target: Type = field(default_factory=lambda: SimpleRag)
 
     model_name:str = "text-embedding-v4"
@@ -29,7 +29,7 @@ class SimpleRagConfig(InstantiateConfig):
     """path to local database"""
 
 
-class SimpleRag:
+class SimpleRag(LangToolBase):
     def __init__(self, config:SimpleRagConfig):
         self.config = config
         self.emb = QwenEmbeddings(self.config.api_key,
@@ -64,6 +64,9 @@ class SimpleRag:
             for doc in retrieved_docs
         )
         return serialized, retrieved_docs
+    
+    def get_tool_fnc(self):
+        return [self.retrieve]
 
 
 if __name__ == "__main__":