fix: adding info to Agent and related components (#4495)

* info added

* Update openai.py

update to Open AI model info

* info changed

* Update tool_calling.py

made info of LLM much simpler

* info updated to be simpler

* Update agent.py

src/backend/base/langflow/base/agents/agent.py

@@ -44,18 +44,15 @@ class LCAgentComponent(Component):
             display_name="Handle Parse Errors",
             value=True,
             advanced=True,
+            info="Should the Agent fix errors when reading user input for better processing?",
         ),
-        BoolInput(
+        BoolInput(name="verbose", display_name="Verbose", value=True, advanced=True),
-            name="verbose",
-            display_name="Verbose",
-            value=True,
-            advanced=True,
-        ),
         IntInput(
             name="max_iterations",
             display_name="Max Iterations",
             value=15,
             advanced=True,
+            info="The maximum number of attempts the agent can make to complete its task before it stops.",
         ),
         MultilineInput(
             name="agent_description",
@@ -187,6 +184,7 @@ class LCToolsAgentComponent(LCAgentComponent):
             input_types=["Tool", "BaseTool", "StructuredTool"],
             is_list=True,
             required=True,
+            info="These are the tools that the agent can use to help with tasks.",
         ),
         *LCAgentComponent._base_inputs,
     ]

src/backend/base/langflow/components/agents/agent.py

@@ -28,6 +28,7 @@ class AgentComponent(ToolCallingAgentComponent):
         DropdownInput(
             name="agent_llm",
             display_name="Model Provider",
+            info="The provider of the language model that the agent will use to generate responses.",
             options=[*sorted(MODEL_PROVIDERS_DICT.keys()), "Custom"],
             value="OpenAI",
             real_time_refresh=True,
@@ -37,7 +38,7 @@ class AgentComponent(ToolCallingAgentComponent):
         MultilineInput(
             name="system_prompt",
             display_name="Agent Instructions",
-            info="Initial instructions and context provided to guide the agent's behavior.",
+            info="System Prompt: Initial instructions and context provided to guide the agent's behavior.",
             value="You are a helpful assistant that can use tools to answer questions and perform tasks.",
             advanced=False,
         ),

src/backend/base/langflow/components/langchain_utilities/tool_calling.py

@@ -15,14 +15,26 @@ class ToolCallingAgentComponent(LCToolsAgentComponent):
 
     inputs = [
         *LCToolsAgentComponent._base_inputs,
-        HandleInput(name="llm", display_name="Language Model", input_types=["LanguageModel"], required=True),
+        HandleInput(
+            name="llm",
+            display_name="Language Model",
+            input_types=["LanguageModel"],
+            required=True,
+            info="Language model that the agent utilizes to perform tasks effectively.",
+        ),
         MessageTextInput(
             name="system_prompt",
             display_name="System Prompt",
             info="Initial instructions and context provided to guide the agent's behavior.",
             value="You are a helpful assistant that can use tools to answer questions and perform tasks.",
         ),
-        DataInput(name="chat_history", display_name="Chat Memory", is_list=True, advanced=True),
+        DataInput(
+            name="chat_history",
+            display_name="Chat Memory",
+            is_list=True,
+            advanced=True,
+            info="This input stores the chat history, allowing the agent to remember previous conversations.",
+        ),
     ]
 
     def get_chat_history_data(self) -> list[Data] | None:

src/backend/base/langflow/components/models/openai.py

@@ -27,7 +27,12 @@ class OpenAIModelComponent(LCModelComponent):
             info="The maximum number of tokens to generate. Set to 0 for unlimited tokens.",
             range_spec=RangeSpec(min=0, max=128000),
         ),
-        DictInput(name="model_kwargs", display_name="Model Kwargs", advanced=True),
+        DictInput(
+            name="model_kwargs",
+            display_name="Model Kwargs",
+            advanced=True,
+            info="Additional keyword arguments to pass to the model.",
+        ),
         BoolInput(
             name="json_mode",
             display_name="JSON Mode",