fixing training

src/crewai/agents/agent_builder/base_agent_executor_mixin.py

@@ -6,6 +6,7 @@ from crewai.memory.long_term.long_term_memory_item import LongTermMemoryItem
 from crewai.utilities.converter import ConverterError
 from crewai.utilities.evaluators.task_evaluator import TaskEvaluator
 from crewai.utilities import I18N
+from crewai.utilities.printer import Printer
 
 
 if TYPE_CHECKING:
@@ -22,6 +23,7 @@ class CrewAgentExecutorMixin:
     have_forced_answer: bool
     max_iter: int
     _i18n: I18N
+    _printer: Printer = Printer()
 
     def _should_force_answer(self) -> bool:
         """Determine if a forced answer is required based on iteration count."""
@@ -100,6 +102,12 @@ class CrewAgentExecutorMixin:
 
     def _ask_human_input(self, final_answer: dict) -> str:
         """Prompt human input for final decision making."""
-        return input(
-            self._i18n.slice("getting_input").format(final_answer=final_answer)
+        self._printer.print(
+            content=f"\033[1m\033[95m ## Final Result:\033[00m \033[92m{final_answer}\033[00m"
         )
+
+        self._printer.print(
+            content="\n\n=====\n## Please provide feedback on the Final Result and the Agent's actions:",
+            color="bold_yellow",
+        )
+        return input()

src/crewai/translations/en.json

@@ -17,7 +17,7 @@
     "task_with_context": "{task}\n\nThis is the context you're working with:\n{context}",
     "expected_output": "\nThis is the expect criteria for your final answer: {expected_output}\nyou MUST return the actual complete content as the final answer, not a summary.",
     "human_feedback": "You got human feedback on your work, re-evaluate it and give a new Final Answer when ready.\n {human_feedback}",
-    "getting_input": "This is the agent's final answer: {final_answer}\nPlease provide feedback: ",
+    "getting_input": "This is the agent's final answer: {final_answer}\n\n",
     "summarizer_system_message": "You are a helpful assistant that summarizes text.",
     "sumamrize_instruction": "Summarize the following text, make sure to include all the important information: {group}",
     "summary": "This is a summary of our conversation so far:\n{merged_summary}"

src/crewai/utilities/evaluators/task_evaluator.py

@@ -107,9 +107,9 @@ class TaskEvaluator:
         final_aggregated_data = ""
         for _, data in output_training_data.items():
             final_aggregated_data += (
-                f"Initial Output:\n{data['initial_output']}\n\n"
-                f"Human Feedback:\n{data['human_feedback']}\n\n"
-                f"Improved Output:\n{data['improved_output']}\n\n"
+                f"Initial Output:\n{data.get('initial_output', '')}\n\n"
+                f"Human Feedback:\n{data.get('human_feedback', '')}\n\n"
+                f"Improved Output:\n{data.get('improved_output', '')}\n\n"
             )
 
         evaluation_query = (