diff --git a/src/crewai/agents/agent_builder/base_agent_executor_mixin.py b/src/crewai/agents/agent_builder/base_agent_executor_mixin.py index 185d34d04..c46c46844 100644 --- a/src/crewai/agents/agent_builder/base_agent_executor_mixin.py +++ b/src/crewai/agents/agent_builder/base_agent_executor_mixin.py @@ -72,7 +72,6 @@ class CrewAgentExecutorMixin: """Create and save long-term and entity memory items based on evaluation.""" if ( self.crew - and self.crew.memory and self.crew._long_term_memory and self.crew._entity_memory and self.task @@ -114,6 +113,15 @@ class CrewAgentExecutorMixin: except Exception as e: print(f"Failed to add to long term memory: {e}") pass + elif ( + self.crew + and self.crew._long_term_memory + and self.crew._entity_memory is None + ): + self._printer.print( + content="Long term memory is enabled, but entity memory is not enabled. Please configure entity memory or set memory=True to automatically enable it.", + color="bold_yellow", + ) def _ask_human_input(self, final_answer: str) -> str: """Prompt human input with mode-appropriate messaging.""" diff --git a/tests/cassettes/test_long_term_memory_with_memory_flag.yaml b/tests/cassettes/test_long_term_memory_with_memory_flag.yaml new file mode 100644 index 000000000..acc1d38c0 --- /dev/null +++ b/tests/cassettes/test_long_term_memory_with_memory_flag.yaml @@ -0,0 +1,1035 @@ +interactions: +- request: + body: '{"input": ["Research a topic to teach a kid aged 6 about math."], "model": + "text-embedding-3-small", "encoding_format": "base64"}' + headers: + accept: + - application/json + accept-encoding: + - gzip, deflate + connection: + - keep-alive + content-length: + - '129' + content-type: + - application/json + host: + - api.openai.com + user-agent: + - OpenAI/Python 1.68.2 + x-stainless-arch: + - arm64 + x-stainless-async: + - 'false' + x-stainless-lang: + - 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It''s one + of the most fundamental concepts in math and is a building block for all other + math skills. Teaching addition to a 6-year-old involves using simple numbers + and relatable examples that help them visualize and understand the concept of + adding together.\n\n**Angle:**\nTo make the concept of addition fun and engaging, + we can use everyday objects that a child is familiar with, such as toys, fruits, + or drawing items. Incorporating visuals and interactive elements will keep their + attention and help reinforce the idea of combining numbers.\n\n**Examples:**\n\n1. + **Using Objects:**\n - **Scenario:** Let\u2019s say you have 2 apples and + your friend gives you 3 more apples.\n - **Visual**: Arrange the apples in + front of the child.\n - **Question:** \"How many apples do you have now?\"\n - + **Calculation:** 2 apples (your apples) + 3 apples (friend''s apples) = 5 apples. \n - + **Conclusion:** \"You now have 5 apples!\"\n\n2. **Drawing Pictures:**\n - + **Scenario:** Draw 4 stars on one side of the paper and 2 stars on the other + side.\n - **Activity:** Ask the child to count the stars in the first group + and then the second group.\n - **Question:** \"If we put them together, how + many stars do we have?\"\n - **Calculation:** 4 stars + 2 stars = 6 stars. \n - + **Conclusion:** \"You drew 6 stars all together!\"\n\n3. **Story Problems:**\n - + **Scenario:** \"You have 5 toy cars, and you buy 3 more from the store. How + many cars do you have?\"\n - **Interaction:** Create a fun story around the + toy cars (perhaps the cars are going on an adventure).\n - **Calculation:** + 5 toy cars + 3 toy cars = 8 toy cars. \n - **Conclusion:** \"You now have + a total of 8 toy cars for your adventure!\"\n\n4. **Games:**\n - **Activity:** + Play a simple game where you roll a pair of dice. 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Please configure entity memory or set memory=True to automatically enable it.", + color="bold_yellow", + ) + save_memory.assert_not_called() + + +@pytest.mark.vcr(filter_headers=["authorization"]) +def test_long_term_memory_with_memory_flag(): + from unittest.mock import patch + + math_researcher = Agent( + role="Researcher", + goal="You research about math.", + backstory="You're an expert in research and you love to learn new things.", + allow_delegation=False, + ) + + task1 = Task( + description="Research a topic to teach a kid aged 6 about math.", + expected_output="A topic, explanation, angle, and examples.", + agent=math_researcher, + ) + + crew = Crew( + agents=[math_researcher], + tasks=[task1], + memory=True, + long_term_memory=LongTermMemory(), + ) + + with ( + patch("crewai.utilities.printer.Printer.print") as mock_print, + patch( + "crewai.memory.long_term.long_term_memory.LongTermMemory.save" + ) as save_memory, + ): + crew.kickoff() + mock_print.assert_not_called() + save_memory.assert_called_once() + + @pytest.mark.vcr(filter_headers=["authorization"]) def test_using_contextual_memory_with_short_term_memory(): from unittest.mock import patch