Update prompts.py

prompts.py

@@ -22,7 +22,6 @@ Instructions
 - Use the tool provided tool to scrape the text from the website url
 - Find the pertinent information in the text that you scrape
 - If you find conflicting data, decide which source is more accurate
-- Your response should be Indexed in a way that can be easily searched by Elasticsearch
 - When you are finished, return with\naction: COMPLETE
 
 Use the following format:
@@ -161,7 +160,25 @@ Include datapoints that will provide greater accuracy in completing the task
 Return the data in JSON format to save space
 """
 
-
+SAVE_MEMORY = """
+You are attempting to complete the task
+task: {task}
+Current data:
+{knowledge}
+New data:
+{history}
+Compress the data above into a concise data presentation of relevant data
+Include all datapoints, titles, descriptions, and source urls indexed into an easy to search JSON format
+Example:
+{
+  "Query": "Find the current temperature in Florida",
+  "Result": [
+    {"Title": "the title", "Description": "A summary", "Contents": "full contents", "URL": "source URL"},
+  ]
+}
+
+Return the data in JSON format
+"""
 
 
 COMPRESS_DATA_PROMPT = """
@@ -172,7 +189,7 @@ Current data:
 New data:
 {history}
 Compress the data above into a concise data presentation of relevant data
-Include a datapoints and source urls that will provide greater accuracy in completing the task
+Include all datapoints and source urls that will provide greater accuracy in completing the task
 """
 
 COMPRESS_HISTORY_PROMPT = """