Changed node_config["llm"] to node_config["llm_model"]

Author: epage480

scrapegraphai/nodes/generate_answer_csv_node.py

@@ -22,14 +22,14 @@ class GenerateAnswerCSVNode(BaseNode):
     an answer.
 
     Attributes:
-        llm: An instance of a language model client, configured for generating answers.
+        llm_model: An instance of a language model client, configured for generating answers.
         node_name (str): The unique identifier name for the node, defaulting 
         to "GenerateAnswerNodeCsv".
         node_type (str): The type of the node, set to "node" indicating a 
         standard operational node.
 
     Args:
-        llm: An instance of the language model client (e.g., ChatOpenAI) used 
+        llm_model: An instance of the language model client (e.g., ChatOpenAI) used 
         for generating answers.
         node_name (str, optional): The unique identifier name for the node. 
         Defaults to "GenerateAnswerNodeCsv".
@@ -44,11 +44,11 @@ def __init__(self, input: str, output: List[str], node_config: dict,
         """
         Initializes the GenerateAnswerNodeCsv with a language model client and a node name.
         Args:
-            llm: An instance of the OpenAIImageToText class.
+            llm_model: An instance of the OpenAIImageToText class.
             node_name (str): name of the node
         """
         super().__init__(node_name, "node", input, output, 2, node_config)
-        self.llm_model = node_config["llm"]
+        self.llm_model = node_config["llm_model"]
         self.verbose = True if node_config is None else node_config.get(
             "verbose", False)
 

scrapegraphai/nodes/generate_answer_node.py

@@ -37,7 +37,7 @@ def __init__(self, input: str, output: List[str], node_config: dict,
                  node_name: str = "GenerateAnswer"):
         super().__init__(node_name, "node", input, output, 2, node_config)
 
-        self.llm_model = node_config["llm"]
+        self.llm_model = node_config["llm_model"]
         self.verbose = True if node_config is None else node_config.get("verbose", False)
 
     def execute(self, state: dict) -> dict:

scrapegraphai/nodes/generate_answer_node_csv.py

@@ -22,14 +22,14 @@ class GenerateAnswerCSVNode(BaseNode):
     an answer.
 
     Attributes:
-        llm: An instance of a language model client, configured for generating answers.
+        llm_model: An instance of a language model client, configured for generating answers.
         node_name (str): The unique identifier name for the node, defaulting 
         to "GenerateAnswerNodeCsv".
         node_type (str): The type of the node, set to "node" indicating a 
         standard operational node.
 
     Args:
-        llm: An instance of the language model client (e.g., ChatOpenAI) used 
+        llm_model: An instance of the language model client (e.g., ChatOpenAI) used 
         for generating answers.
         node_name (str, optional): The unique identifier name for the node. 
         Defaults to "GenerateAnswerNodeCsv".
@@ -44,11 +44,11 @@ def __init__(self, input: str, output: List[str], node_config: dict,
         """
         Initializes the GenerateAnswerNodeCsv with a language model client and a node name.
         Args:
-            llm: An instance of the OpenAIImageToText class.
+            llm_model: An instance of the OpenAIImageToText class.
             node_name (str): name of the node
         """
         super().__init__(node_name, "node", input, output, 2, node_config)
-        self.llm_model = node_config["llm"]
+        self.llm_model = node_config["llm_model"]
         self.verbose = True if node_config is None else node_config.get(
             "verbose", False)
 

scrapegraphai/nodes/generate_scraper_node.py

@@ -40,7 +40,7 @@ def __init__(self, input: str, output: List[str], node_config: dict,
                  library: str, website: str, node_name: str = "GenerateAnswer"):
         super().__init__(node_name, "node", input, output, 2, node_config)
 
-        self.llm_model = node_config["llm"]
+        self.llm_model = node_config["llm_model"]
         self.library = library
         self.source = website
 

scrapegraphai/nodes/rag_node.py

@@ -39,7 +39,7 @@ class RAGNode(BaseNode):
     def __init__(self, input: str, output: List[str], node_config: dict, node_name: str = "RAG"):
         super().__init__(node_name, "node", input, output, 2, node_config)
 
-        self.llm_model = node_config["llm"]
+        self.llm_model = node_config["llm_model"]
         self.embedder_model = node_config.get("embedder_model", None)
         self.verbose = True if node_config is None else node_config.get(
             "verbose", False)

scrapegraphai/nodes/robots_node.py

@@ -38,7 +38,7 @@ def __init__(self, input: str, output: List[str],  node_config: dict, force_scra
                  node_name: str = "Robots"):
         super().__init__(node_name, "node", input, output, 1)
 
-        self.llm_model = node_config["llm"]
+        self.llm_model = node_config["llm_model"]
         self.force_scraping = force_scraping
         self.verbose = True if node_config is None else node_config.get("verbose", False)
 

scrapegraphai/nodes/search_internet_node.py

@@ -31,7 +31,7 @@ def __init__(self, input: str, output: List[str], node_config: dict,
                  node_name: str = "SearchInternet"):
         super().__init__(node_name, "node", input, output, 1, node_config)
 
-        self.llm_model = node_config["llm"]
+        self.llm_model = node_config["llm_model"]
         self.verbose = True if node_config is None else node_config.get("verbose", False)
 
     def execute(self, state: dict) -> dict:

scrapegraphai/nodes/search_link_node.py

@@ -37,7 +37,7 @@ def __init__(self, input: str, output: List[str], node_config: dict,
                  node_name: str = "GenerateLinks"):
         super().__init__(node_name, "node", input, output, 1, node_config)
 
-        self.llm_model = node_config["llm"]
+        self.llm_model = node_config["llm_model"]
         self.verbose = True if node_config is None else node_config.get("verbose", False)
 
     def execute(self, state: dict) -> dict: