add prompt

Agents/agent.py

@@ -242,10 +242,12 @@ def build_graph(provider: str="groq"):
     llmWithTools = llm.bind_tools(tools)
 
     def assistant(state: MessagesState):
+        #msg
         msg = {"messages": [sysMsg] + state["messages"]}
+        
         #print(f"invoke llmwithtools with state message = {msg}")
         #msgbind = llmWithTools.invoke(state["messages"])
-        #print(f"msgBind{msgbind}")
+        print(f"msg: {msg}")
         return {"messages": [llmWithTools.invoke(msg)]}
     '''
     def retriever(state: MessagesState):

app.py

@@ -3,7 +3,10 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
-from langchain_core.messages import HumanMessage
+from langchain_core.output_parsers import JsonOutputParser
+from langchain_core.prompts import ChatMessagePromptTemplate, ChatPromptTemplate
+from langchain_core.tools import render_text_description
+from langchain_core.messages import HumanMessage, SystemMessage
 from Agents.agent import build_graph, tools,systemPrompt
 from langfuse.langchain import CallbackHandler
 from langgraph.prebuilt import create_react_agent
@@ -42,12 +45,19 @@ class BasicAgent:
         self.graph = build_graph()
     def __call__(self, question: str, imageURL: str="") -> str:
         print(f"Agent received question (first 100 chars): {question[:100]}...")
-        if(imageURL.strip == ""):
+        if(imageURL.len == 0):
              messages = [HumanMessage(content=question)]
         else:
             formattedImageURL = gaiaValidationURL + imageURL
             messages = [HumanMessage(content=question, additional_kwargs={"imageURL":formattedImageURL })]
 
+        '''prompt = ChatPromptTemplate.from_messages([
+                        SystemMessage(content="systemPrompt"),
+                        ("human", "{question}"),
+                ])
+        '''
+        
+        
         if(not langFuseOn):
             print("no langfuse")
             messages = self.graph.invoke({"messages": messages})