Miscellaneous "llm" -> "llm_model" refactors

Author: epage480

examples/openai/custom_graph_openai.py

@@ -34,7 +34,7 @@
 robot_node = RobotsNode(
     input="url",
     output=["is_scrapable"],
-    node_config={"llm": llm_model}
+    node_config={"llm_model": llm_model}
 )
 
 fetch_node = FetchNode(
@@ -50,12 +50,12 @@
 rag_node = RAGNode(
     input="user_prompt & (parsed_doc | doc)",
     output=["relevant_chunks"],
-    node_config={"llm": llm_model},
+    node_config={"llm_model": llm_model},
 )
 generate_answer_node = GenerateAnswerNode(
     input="user_prompt & (relevant_chunks | parsed_doc | doc)",
     output=["answer"],
-    node_config={"llm": llm_model},
+    node_config={"llm_model": llm_model},
 )
 
 # ************************************************

scrapegraphai/graphs/json_scraper_graph.py

@@ -76,7 +76,7 @@ def _create_graph(self) -> BaseGraph:
             input="user_prompt & (relevant_chunks | parsed_doc | doc)",
             output=["answer"],
             node_config={
-                "llm": self.llm_model
+                "llm_model": self.llm_model
             }
         )
 

scrapegraphai/nodes/fetch_node.py

@@ -29,7 +29,7 @@ class FetchNode(BaseNode):
         node_name (str): The unique identifier name for the node, defaulting to "Fetch".
     """
 
-    def __init__(self, input: str, output: List[str], node_config: Optional[dict], node_name: str = "Fetch"):
+    def __init__(self, input: str, output: List[str], node_config: Optional[dict]=None, node_name: str = "Fetch"):
         super().__init__(node_name, "node", input, output, 1)
 
         self.headless = True if node_config is None else node_config.get("headless", True)