Add ShouldRunNext component to langflow routing

src/backend/langflow/components/routing/ShouldRunNext.py

@@ -0,0 +1,48 @@
+# Implement ShouldRunNext component
+from langchain_core.prompts import PromptTemplate
+
+from langflow import CustomComponent
+from langflow.field_typing import BaseLanguageModel, Prompt
+
+
+class ShouldRunNext(CustomComponent):
+    display_name = "Should Run Next"
+    description = "Decides whether to run the next component."
+
+    def build_config(self):
+        return {
+            "prompt": {
+                "display_name": "Prompt",
+                "info": "The prompt to use for the decision. It should generate a boolean response (True or False).",
+            },
+            "llm": {
+                "display_name": "LLM",
+                "info": "The language model to use for the decision.",
+            },
+        }
+
+    def build(self, template: Prompt, llm: BaseLanguageModel, **kwargs) -> dict:
+        # This is a simple component that always returns True
+        prompt_template = PromptTemplate.from_template(template)
+
+        attributes_to_check = ["text", "page_content"]
+        for key, value in kwargs.items():
+            for attribute in attributes_to_check:
+                if hasattr(value, attribute):
+                    kwargs[key] = getattr(value, attribute)
+
+        chain = prompt_template | llm
+        result = chain.invoke(kwargs)
+        if hasattr(result, "content") and isinstance(result.content, str):
+            result = result.content
+        elif isinstance(result, str):
+            result = result
+        else:
+            result = result.get("response")
+
+        if result.lower() not in ["true", "false"]:
+            raise ValueError("The prompt should generate a boolean response (True or False).")
+        # The string should be the words true or false
+        # if not raise an error
+        bool_result = result.lower() == "true"
+        return {"condition": bool_result, "result": kwargs}