added together ai agent

gemini_langchain_agent.py

@@ -39,13 +39,14 @@ def create_agent(llm, data, tools):
         return_intermediate_steps=True
     )
     
-def _prompt_generator(question: str, chart_required: bool):
+def _prompt_generator(question: str, chart_required: bool, csv_url: str):
     chat_prompt = f"""You are a senior data analyst working with CSV data. Adhere strictly to the following guidelines:  
 
                      1. **Data Verification:** Always inspect the data with `.sample(5).to_dict()` before performing any analysis.  
                      2. **Data Integrity:** Ensure proper handling of null values to maintain accuracy and reliability.  
                      3. **Communication:** Provide concise, professional, and well-structured responses.
                      4. Avoid including any internal processing details or references to the methods used to generate your response (ex: based on the tool call, using the function -> These types of phrases.)
+                     5. Always use pd.read_csv({csv_url}) to read the CSV file.
 
                      **Query:** {question}  
                  """               
@@ -80,6 +81,7 @@ def _prompt_generator(question: str, chart_required: bool):
                    - Use THE SAME unique_id throughout entire process
                    - NEVER generate new UUIDs after initial creation
                    - Return EXACT filepath string of the final saved chart
+                   - Always use pd.read_csv({csv_url}) to read the CSV file
                    """
 
     if chart_required:
@@ -112,7 +114,7 @@ def langchain_gemini_csv_handler(csv_url: str, question: str, chart_required: bo
             )
 
             agent = create_agent(llm, data, [tool])
-            prompt = _prompt_generator(question, chart_required)
+            prompt = _prompt_generator(question, chart_required, csv_url)
             result = agent.invoke({"input": prompt})
             output = result.get("output")