Custom model config for RAG tools

src/crewai_tools/tools/code_docs_search_tool/code_docs_search_tool.py

@@ -1,41 +1,52 @@
-from typing import Optional, Type, Any
-from pydantic.v1 import BaseModel, Field
+from typing import Any, Optional, Type
 
-from embedchain import App
 from embedchain.models.data_type import DataType
+from pydantic.v1 import BaseModel, Field
 
 from ..rag.rag_tool import RagTool
 
 
 class FixedCodeDocsSearchToolSchema(BaseModel):
-	"""Input for CodeDocsSearchTool."""
-	search_query: str = Field(..., description="Mandatory search query you want to use to search the Code Docs content")
+    """Input for CodeDocsSearchTool."""
+
+    search_query: str = Field(
+        ...,
+        description="Mandatory search query you want to use to search the Code Docs content",
+    )
+
 
 class CodeDocsSearchToolSchema(FixedCodeDocsSearchToolSchema):
-	"""Input for CodeDocsSearchTool."""
-	docs_url: str = Field(..., description="Mandatory docs_url path you want to search")
+    """Input for CodeDocsSearchTool."""
+
+    docs_url: str = Field(..., description="Mandatory docs_url path you want to search")
+
 
 class CodeDocsSearchTool(RagTool):
-	name: str = "Search a Code Docs content"
-	description: str = "A tool that can be used to semantic search a query from a Code Docs content."
-	summarize: bool = False
-	args_schema: Type[BaseModel] = CodeDocsSearchToolSchema
-	docs_url: Optional[str] = None
+    name: str = "Search a Code Docs content"
+    description: str = (
+        "A tool that can be used to semantic search a query from a Code Docs content."
+    )
+    args_schema: Type[BaseModel] = CodeDocsSearchToolSchema
 
-	def __init__(self, docs_url: Optional[str] = None, **kwargs):
-		super().__init__(**kwargs)
-		if docs_url is not None:
-			self.docs_url = docs_url
-			self.description = f"A tool that can be used to semantic search a query the {docs_url} Code Docs content."
-			self.args_schema = FixedCodeDocsSearchToolSchema
-			self._generate_description()
+    def __init__(self, docs_url: Optional[str] = None, **kwargs):
+        super().__init__(**kwargs)
+        if docs_url is not None:
+            self.add(docs_url)
+            self.description = f"A tool that can be used to semantic search a query the {docs_url} Code Docs content."
+            self.args_schema = FixedCodeDocsSearchToolSchema
 
-	def _run(
-		self,
-		search_query: str,
-		**kwargs: Any,
-	) -> Any:
-		docs_url = kwargs.get('docs_url', self.docs_url)
-		self.app = App()
-		self.app.add(docs_url, data_type=DataType.DOCS_SITE)
-		return super()._run(query=search_query)
+    def add(
+        self,
+        *args: Any,
+        **kwargs: Any,
+    ) -> None:
+        kwargs["data_type"] = DataType.DOCS_SITE
+        super().add(*args, **kwargs)
+
+    def _before_run(
+        self,
+        query: str,
+        **kwargs: Any,
+    ) -> Any:
+        if "docs_url" in kwargs:
+            self.add(kwargs["docs_url"])