Put the generated assets message after the user query and fix prompt

src/khoj/processor/conversation/prompts.py

@@ -180,13 +180,13 @@
 
 generated_assets_context = PromptTemplate.from_template(
     """
-Assets that you created have already been created to respond to the query. Below, there are references to the descriptions used to create the assets.
-You can provide a summary of your reasoning from the information below or use it to respond to the original query.
+You have ALREADY created the assets described below. They will automatically be added to the final response.
+You can provide a summary of your reasoning from the information below or use it to respond to my previous query.
 
 Generated Assets:
 {generated_assets}
 
-Limit your response to 3 sentences max. Be succinct, clear, and informative.
+Keep your response succinct, clear, and informative.
 """.strip()
 )
 

src/khoj/processor/conversation/utils.py

@@ -468,6 +468,14 @@ def generate_chatml_messages_with_context(
 
     messages = []
 
+    if not is_none_or_empty(generated_asset_results):
+        messages.append(
+            ChatMessage(
+                content=f"{prompts.generated_assets_context.format(generated_assets=yaml_dump(generated_asset_results))}\n\n",
+                role="user",
+            )
+        )
+
     if not is_none_or_empty(user_message):
         messages.append(
             ChatMessage(
@@ -482,11 +490,6 @@ def generate_chatml_messages_with_context(
         message_attached_files = gather_raw_query_files({file.name: file.content for file in generated_files})
         messages.append(ChatMessage(content=message_attached_files, role="assistant"))
 
-    if not is_none_or_empty(generated_asset_results):
-        context_message += (
-            f"{prompts.generated_assets_context.format(generated_assets=yaml_dump(generated_asset_results))}\n\n"
-        )
-
     if program_execution_context:
         program_context_text = "\n".join(program_execution_context)
         context_message += f"{prompts.additional_program_context.format(context=program_context_text)}\n"