modify prompt

app.py

@@ -154,7 +154,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     # "hwchase17/react-chat" is a prompt template designed for ReAct-style conversational agents.
     #prompt = hub.pull("hwchase17/react-chat")
     prompt = PromptTemplate(
-    input_variables=["input", "agent_scratchpad", "chat_history", "tool_names"], # Add 'tool_names' here
+    input_variables=["input", "agent_scratchpad", "chat_history", "tool_names"],
     template="""
     You are a helpful AI Agent/Assistant that can answer complex questions and perform tasks.
     It is CRUCIAL that you ALWAYS follow the exact format below. Do not deviate.
@@ -169,7 +169,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     Action Input: [input_for_the_tool]
     Observation: [result_from_the_tool]
 
-    NOTE: use web_downloader_limited tool ONLY if the input has text: "Attachment '{file_name}' available at: {attachment_url}", otherwise use the tavily_search tool.
+    NOTE: If the input contains the exact phrase "Attachment '{file_name}' available at: {attachment_url}" (where 'file_name' and 'attachment_url' are placeholders for actual values), then you MUST use the 'web_downloader_limited' tool. Otherwise, you should use the 'tavily_search' tool.
 
     If you have sufficient information and can provide a concise response, or if no tool is needed, you MUST use this precise format:
 
@@ -203,7 +203,6 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     {agent_scratchpad}
     """
     )
-
     #summary_memory = ConversationSummaryMemory(llm=llm_client, memory_key="chat_history")
     summary_memory = ConversationSummaryBufferMemory(llm=llm_client, memory_key="chat_history",
                 max_token_limit=4000) # Adjust this value based on your observations and model's context window