Feature/enable intuitive logs summarization (Significant-Gravitas#3697)

Author: waynehamadi

autogpt/llm/chat.py

@@ -8,15 +8,8 @@
 from autogpt.llm.base import Message
 from autogpt.llm.llm_utils import create_chat_completion
 from autogpt.llm.token_counter import count_message_tokens
-from autogpt.log_cycle.log_cycle import PROMPT_NEXT_ACTION_FILE_NAME
+from autogpt.log_cycle.log_cycle import CURRENT_CONTEXT_FILE_NAME
 from autogpt.logs import logger
-from autogpt.memory_management.store_memory import (
-    save_memory_trimmed_from_context_window,
-)
-from autogpt.memory_management.summary_memory import (
-    get_newly_trimmed_messages,
-    update_running_summary,
-)
 
 cfg = Config()
 
@@ -153,6 +146,10 @@ def chat_with_ai(
 
                 # Move to the next most recent message in the full message history
                 next_message_to_add_index -= 1
+            from autogpt.memory_management.summary_memory import (
+                get_newly_trimmed_messages,
+                update_running_summary,
+            )
 
             # Insert Memories
             if len(full_message_history) > 0:
@@ -164,7 +161,9 @@ def chat_with_ai(
                     current_context=current_context,
                     last_memory_index=agent.last_memory_index,
                 )
+
                 agent.summary_memory = update_running_summary(
+                    agent,
                     current_memory=agent.summary_memory,
                     new_events=newly_trimmed_messages,
                 )
@@ -237,7 +236,7 @@ def chat_with_ai(
                 agent.created_at,
                 agent.cycle_count,
                 current_context,
-                PROMPT_NEXT_ACTION_FILE_NAME,
+                CURRENT_CONTEXT_FILE_NAME,
             )
 
             # TODO: use a model defined elsewhere, so that model can contain

autogpt/log_cycle/log_cycle.py

@@ -6,8 +6,10 @@
 
 DEFAULT_PREFIX = "agent"
 FULL_MESSAGE_HISTORY_FILE_NAME = "full_message_history.json"
-PROMPT_NEXT_ACTION_FILE_NAME = "prompt_next_action.json"
+CURRENT_CONTEXT_FILE_NAME = "current_context.json"
 NEXT_ACTION_FILE_NAME = "next_action.json"
+PROMPT_SUMMARY_FILE_NAME = "prompt_summary.json"
+SUMMARY_FILE_NAME = "summary.txt"
 
 
 class LogCycleHandler:

autogpt/memory_management/summary_memory.py

@@ -2,8 +2,10 @@
 import json
 from typing import Dict, List, Tuple
 
+from autogpt.agent import Agent
 from autogpt.config import Config
 from autogpt.llm.llm_utils import create_chat_completion
+from autogpt.log_cycle.log_cycle import PROMPT_SUMMARY_FILE_NAME, SUMMARY_FILE_NAME
 
 cfg = Config()
 
@@ -46,7 +48,7 @@ def get_newly_trimmed_messages(
 
 
 def update_running_summary(
-    current_memory: str, new_events: List[Dict[str, str]]
+    agent: Agent, current_memory: str, new_events: List[Dict[str, str]]
 ) -> str:
     """
     This function takes a list of dictionaries representing new events and combines them with the current summary,
@@ -110,9 +112,24 @@ def update_running_summary(
             "content": prompt,
         }
     ]
+    agent.log_cycle_handler.log_cycle(
+        agent.config.ai_name,
+        agent.created_at,
+        agent.cycle_count,
+        messages,
+        PROMPT_SUMMARY_FILE_NAME,
+    )
 
     current_memory = create_chat_completion(messages, cfg.fast_llm_model)
 
+    agent.log_cycle_handler.log_cycle(
+        agent.config.ai_name,
+        agent.created_at,
+        agent.cycle_count,
+        current_memory,
+        SUMMARY_FILE_NAME,
+    )
+
     message_to_return = {
         "role": "system",
         "content": f"This reminds you of these events from your past: \n{current_memory}",