diff --git a/autogpt/logs.py b/autogpt/logs.py
index 22ce23f4..53653023 100644
--- a/autogpt/logs.py
+++ b/autogpt/logs.py
@@ -288,3 +288,42 @@ def print_assistant_thoughts(ai_name, assistant_reply):
     except Exception:
         call_stack = traceback.format_exc()
         logger.error("Error: \n", call_stack)
+
+def print_assistant_thoughts(ai_name: object, assistant_reply_json_valid: object) -> None:
+    assistant_thoughts_reasoning = None
+    assistant_thoughts_plan = None
+    assistant_thoughts_speak = None
+    assistant_thoughts_criticism = None
+
+    assistant_thoughts = assistant_reply_json_valid.get("thoughts", {})
+    assistant_thoughts_text = assistant_thoughts.get("text")
+    if assistant_thoughts:
+        assistant_thoughts_reasoning = assistant_thoughts.get("reasoning")
+        assistant_thoughts_plan = assistant_thoughts.get("plan")
+        assistant_thoughts_criticism = assistant_thoughts.get("criticism")
+        assistant_thoughts_speak = assistant_thoughts.get("speak")
+    logger.typewriter_log(
+        f"{ai_name.upper()} THOUGHTS:", Fore.YELLOW, f"{assistant_thoughts_text}"
+    )
+    logger.typewriter_log(
+        "REASONING:", Fore.YELLOW, f"{assistant_thoughts_reasoning}"
+    )
+    if assistant_thoughts_plan:
+        logger.typewriter_log("PLAN:", Fore.YELLOW, "")
+        # If it's a list, join it into a string
+        if isinstance(assistant_thoughts_plan, list):
+            assistant_thoughts_plan = "\n".join(assistant_thoughts_plan)
+        elif isinstance(assistant_thoughts_plan, dict):
+            assistant_thoughts_plan = str(assistant_thoughts_plan)
+
+        # Split the input_string using the newline character and dashes
+        lines = assistant_thoughts_plan.split("\n")
+        for line in lines:
+            line = line.lstrip("- ")
+            logger.typewriter_log("- ", Fore.GREEN, line.strip())
+    logger.typewriter_log(
+        "CRITICISM:", Fore.YELLOW, f"{assistant_thoughts_criticism}"
+    )
+    # Speak the assistant's thoughts
+    if CFG.speak_mode and assistant_thoughts_speak:
+        say_text(assistant_thoughts_speak)