conversation
Adapted from the Griptape AI Framework documentation.
__all__ = ['BaseConversationMemoryDriver']module-attribute
Bases:
SerializableMixin
, ABC
Source Code in griptape/drivers/memory/conversation/base_conversation_memory_driver.py
class BaseConversationMemoryDriver(SerializableMixin, ABC): @abstractmethod def store(self, runs: list[Run], metadata: dict[str, Any]) -> None: ... @abstractmethod def load(self) -> tuple[list[Run], dict[str, Any]]: ... def _to_params_dict(self, runs: list[Run], metadata: dict[str, Any]) -> dict: return {"runs": [run.to_dict() for run in runs], "metadata": metadata} def _from_params_dict(self, params_dict: dict[str, Any]) -> tuple[list[Run], dict[str, Any]]: from griptape.memory.structure import Run return [Run.from_dict(run) for run in params_dict.get("runs", [])], params_dict.get("metadata", {})
_from_params_dict(params_dict)
Source Code in griptape/drivers/memory/conversation/base_conversation_memory_driver.py
def _from_params_dict(self, params_dict: dict[str, Any]) -> tuple[list[Run], dict[str, Any]]: from griptape.memory.structure import Run return [Run.from_dict(run) for run in params_dict.get("runs", [])], params_dict.get("metadata", {})
_to_params_dict(runs, metadata)
Source Code in griptape/drivers/memory/conversation/base_conversation_memory_driver.py
def _to_params_dict(self, runs: list[Run], metadata: dict[str, Any]) -> dict: return {"runs": [run.to_dict() for run in runs], "metadata": metadata}
load()abstractmethod
Source Code in griptape/drivers/memory/conversation/base_conversation_memory_driver.py
@abstractmethod def load(self) -> tuple[list[Run], dict[str, Any]]: ...
store(runs, metadata)abstractmethod
Source Code in griptape/drivers/memory/conversation/base_conversation_memory_driver.py
@abstractmethod def store(self, runs: list[Run], metadata: dict[str, Any]) -> None: ...
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