feat: Add Train feature for Crews (#686)

* feat: add training logic to agent and crew

* feat: add training logic to agent executor

* feat: add input parameter  to cli command

* feat: add utilities for the training logic

* feat: polish code, logic and add private variables

* feat: add docstring and type hinting to executor

* feat: add constant file, add constant to code

* feat: fix name of training handler function

* feat: remove unused var

* feat: change file handler file name

* feat: Add training handler file, class and change on the code

* feat: fix name error from file

* fix: change import to adapt to logic

* feat: add training handler test

* feat: add tests for file and training_handler

* feat: add test for task evaluator function

* feat: change text to fit in-screen

* feat: add test for train function

* feat: add test for agent training_handler function

* feat: add test for agent._use_trained_data

tests/agent_test.py

@@ -1,5 +1,6 @@
 """Test Agent creation and execution basic functionality."""
 
+from unittest import mock
 from unittest.mock import patch
 
 import pytest
@@ -842,3 +843,54 @@ Thought:
 
 """
     )
+
+
+@patch("crewai.agent.CrewTrainingHandler")
+def test_agent_training_handler(crew_training_handler):
+    task_prompt = "What is 1 + 1?"
+    agent = Agent(
+        role="test role",
+        goal="test goal",
+        backstory="test backstory",
+        verbose=True,
+    )
+    crew_training_handler().load.return_value = {
+        f"{str(agent.id)}": {"0": {"human_feedback": "good"}}
+    }
+
+    result = agent._training_handler(task_prompt=task_prompt)
+
+    assert result == "What is 1 + 1?You MUST follow these feedbacks: \n good"
+
+    crew_training_handler.assert_has_calls(
+        [mock.call(), mock.call("training_data.pkl"), mock.call().load()]
+    )
+
+
+@patch("crewai.agent.CrewTrainingHandler")
+def test_agent_use_trained_data(crew_training_handler):
+    task_prompt = "What is 1 + 1?"
+    agent = Agent(
+        role="researcher",
+        goal="test goal",
+        backstory="test backstory",
+        verbose=True,
+    )
+    crew_training_handler().load.return_value = {
+        agent.role: {
+            "suggestions": [
+                "The result of the math operatio must be right.",
+                "Result must be better than 1.",
+            ]
+        }
+    }
+
+    result = agent._use_trained_data(task_prompt=task_prompt)
+
+    assert (
+        result == "What is 1 + 1?You MUST follow these feedbacks: \n "
+        "The result of the math operatio must be right.\n - Result must be better than 1."
+    )
+    crew_training_handler.assert_has_calls(
+        [mock.call(), mock.call("trained_agents_data.pkl"), mock.call().load()]
+    )