fix: training issue

This commit is contained in:
Eduardo Chiarotti
2024-10-11 19:35:35 -03:00
parent 7f387dd7c3
commit 2ec68501ae

View File

@@ -334,6 +334,32 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
color="red",
)
if self.ask_for_human_input and human_feedback is not None:
training_data = {
"initial_output": result.output,
"human_feedback": human_feedback,
"agent": agent_id,
"agent_role": self.agent.role,
}
if self.crew is not None and hasattr(self.crew, "_train_iteration"):
train_iteration = self.crew._train_iteration
if isinstance(train_iteration, int):
CrewTrainingHandler(TRAINING_DATA_FILE).append(
train_iteration, agent_id, training_data
)
else:
self._logger.log(
"error",
"Invalid train iteration type. Expected int.",
color="red",
)
else:
self._logger.log(
"error",
"Crew is None or does not have _train_iteration attribute.",
color="red",
)
def _format_prompt(self, prompt: str, inputs: Dict[str, str]) -> str:
prompt = prompt.replace("{input}", inputs["input"])
prompt = prompt.replace("{tool_names}", inputs["tool_names"])