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https://github.com/crewAIInc/crewAI.git
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Feat/memory base (#1444)
* byom - short/entity memory * better * rm uneeded * fix text * use context * rm dep and sync * type check fix * fixed test using new cassete * fixing types * fixed types * fix types * fixed types * fixing types * fix type * cassette update * just mock the return of short term mem * remove print * try catch block * added docs * dding error handling here
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@@ -19,6 +19,7 @@ from crewai.utilities.exceptions.context_window_exceeding_exception import (
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)
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from crewai.utilities.logger import Logger
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from crewai.utilities.training_handler import CrewTrainingHandler
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from crewai.agents.agent_builder.base_agent import BaseAgent
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class CrewAgentExecutor(CrewAgentExecutorMixin):
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@@ -29,7 +30,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
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llm: Any,
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task: Any,
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crew: Any,
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agent: Any,
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agent: BaseAgent,
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prompt: dict[str, str],
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max_iter: int,
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tools: List[Any],
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@@ -103,7 +104,8 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
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if self.crew and self.crew._train:
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self._handle_crew_training_output(formatted_answer)
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self._create_short_term_memory(formatted_answer)
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self._create_long_term_memory(formatted_answer)
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return {"output": formatted_answer.output}
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def _invoke_loop(self, formatted_answer=None):
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@@ -176,6 +178,8 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
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return formatted_answer
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def _show_start_logs(self):
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if self.agent is None:
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raise ValueError("Agent cannot be None")
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if self.agent.verbose or (
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hasattr(self, "crew") and getattr(self.crew, "verbose", False)
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):
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@@ -188,6 +192,8 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
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)
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def _show_logs(self, formatted_answer: Union[AgentAction, AgentFinish]):
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if self.agent is None:
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raise ValueError("Agent cannot be None")
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if self.agent.verbose or (
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hasattr(self, "crew") and getattr(self.crew, "verbose", False)
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):
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@@ -306,7 +312,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
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self, result: AgentFinish, human_feedback: str | None = None
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) -> None:
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"""Function to handle the process of the training data."""
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agent_id = str(self.agent.id)
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agent_id = str(self.agent.id) # type: ignore
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# Load training data
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training_handler = CrewTrainingHandler(TRAINING_DATA_FILE)
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@@ -339,7 +345,7 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
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"initial_output": result.output,
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"human_feedback": human_feedback,
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"agent": agent_id,
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"agent_role": self.agent.role,
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"agent_role": self.agent.role, # type: ignore
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}
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if self.crew is not None and hasattr(self.crew, "_train_iteration"):
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train_iteration = self.crew._train_iteration
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