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Base conversation memory

BaseConversationMemory

Bases: SerializableMixin, ABC

Source code in griptape/memory/structure/base_conversation_memory.py 
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@define
class BaseConversationMemory(SerializableMixin, ABC):
    driver: Optional[BaseConversationMemoryDriver] = field(default=None, kw_only=True)
    runs: list[Run] = field(factory=list, kw_only=True, metadata={"serializable": True})
    structure: Structure = field(init=False)
    autoload: bool = field(default=True, kw_only=True)
    autoprune: bool = field(default=True, kw_only=True)
    max_runs: Optional[int] = field(default=None, kw_only=True, metadata={"serializable": True})

    def __attrs_post_init__(self) -> None:
        if self.driver and self.autoload:
            memory = self.driver.load()
            if memory is not None:
                [self.add_run(r) for r in memory.runs]

    def before_add_run(self) -> None:
        pass

    def add_run(self, run: Run) -> BaseConversationMemory:
        self.before_add_run()
        self.try_add_run(run)
        self.after_add_run()

        return self

    def after_add_run(self) -> None:
        if self.driver:
            self.driver.store(self)

    @abstractmethod
    def try_add_run(self, run: Run) -> None: ...

    @abstractmethod
    def to_prompt_stack(self, last_n: Optional[int] = None) -> PromptStack: ...

    def add_to_prompt_stack(self, prompt_stack: PromptStack, index: Optional[int] = None) -> PromptStack:
        """Add the Conversation Memory runs to the Prompt Stack by modifying the inputs in place.

        If autoprune is enabled, this will fit as many Conversation Memory runs into the Prompt Stack
        as possible without exceeding the token limit.

        Args:
            prompt_stack: The Prompt Stack to add the Conversation Memory to.
            index: Optional index to insert the Conversation Memory runs at.
                   Defaults to appending to the end of the Prompt Stack.
        """
        num_runs_to_fit_in_prompt = len(self.runs)

        if self.autoprune and hasattr(self, "structure"):
            should_prune = True
            prompt_driver = self.structure.config.prompt_driver
            temp_stack = PromptStack()

            # Try to determine how many Conversation Memory runs we can
            # fit into the Prompt Stack without exceeding the token limit.
            while should_prune and num_runs_to_fit_in_prompt > 0:
                temp_stack.inputs = prompt_stack.inputs.copy()

                # Add n runs from Conversation Memory.
                # Where we insert into the Prompt Stack doesn't matter here
                # since we only care about the total token count.
                memory_inputs = self.to_prompt_stack(num_runs_to_fit_in_prompt).inputs
                temp_stack.inputs.extend(memory_inputs)

                # Convert the prompt stack into tokens left.
                tokens_left = prompt_driver.tokenizer.count_input_tokens_left(
                    prompt_driver.prompt_stack_to_string(temp_stack)
                )
                if tokens_left > 0:
                    # There are still tokens left, no need to prune.
                    should_prune = False
                else:
                    # There were not any tokens left, prune one run and try again.
                    num_runs_to_fit_in_prompt -= 1

        if num_runs_to_fit_in_prompt:
            memory_inputs = self.to_prompt_stack(num_runs_to_fit_in_prompt).inputs
            if index:
                prompt_stack.inputs[index:index] = memory_inputs
            else:
                prompt_stack.inputs.extend(memory_inputs)

        return prompt_stack

autoload: bool = field(default=True, kw_only=True) class-attribute instance-attribute

autoprune: bool = field(default=True, kw_only=True) class-attribute instance-attribute

driver: Optional[BaseConversationMemoryDriver] = field(default=None, kw_only=True) class-attribute instance-attribute

max_runs: Optional[int] = field(default=None, kw_only=True, metadata={'serializable': True}) class-attribute instance-attribute

runs: list[Run] = field(factory=list, kw_only=True, metadata={'serializable': True}) class-attribute instance-attribute

structure: Structure = field(init=False) class-attribute instance-attribute

__attrs_post_init__()

Source code in griptape/memory/structure/base_conversation_memory.py 
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def __attrs_post_init__(self) -> None:
    if self.driver and self.autoload:
        memory = self.driver.load()
        if memory is not None:
            [self.add_run(r) for r in memory.runs]

add_run(run)

Source code in griptape/memory/structure/base_conversation_memory.py 
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def add_run(self, run: Run) -> BaseConversationMemory:
    self.before_add_run()
    self.try_add_run(run)
    self.after_add_run()

    return self

add_to_prompt_stack(prompt_stack, index=None)

Add the Conversation Memory runs to the Prompt Stack by modifying the inputs in place.

If autoprune is enabled, this will fit as many Conversation Memory runs into the Prompt Stack as possible without exceeding the token limit.

Parameters:

Name Type Description Default
prompt_stack PromptStack

The Prompt Stack to add the Conversation Memory to.

 required
index Optional[int]

Optional index to insert the Conversation Memory runs at. Defaults to appending to the end of the Prompt Stack.

 None
Source code in griptape/memory/structure/base_conversation_memory.py 
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def add_to_prompt_stack(self, prompt_stack: PromptStack, index: Optional[int] = None) -> PromptStack:
    """Add the Conversation Memory runs to the Prompt Stack by modifying the inputs in place.

    If autoprune is enabled, this will fit as many Conversation Memory runs into the Prompt Stack
    as possible without exceeding the token limit.

    Args:
        prompt_stack: The Prompt Stack to add the Conversation Memory to.
        index: Optional index to insert the Conversation Memory runs at.
               Defaults to appending to the end of the Prompt Stack.
    """
    num_runs_to_fit_in_prompt = len(self.runs)

    if self.autoprune and hasattr(self, "structure"):
        should_prune = True
        prompt_driver = self.structure.config.prompt_driver
        temp_stack = PromptStack()

        # Try to determine how many Conversation Memory runs we can
        # fit into the Prompt Stack without exceeding the token limit.
        while should_prune and num_runs_to_fit_in_prompt > 0:
            temp_stack.inputs = prompt_stack.inputs.copy()

            # Add n runs from Conversation Memory.
            # Where we insert into the Prompt Stack doesn't matter here
            # since we only care about the total token count.
            memory_inputs = self.to_prompt_stack(num_runs_to_fit_in_prompt).inputs
            temp_stack.inputs.extend(memory_inputs)

            # Convert the prompt stack into tokens left.
            tokens_left = prompt_driver.tokenizer.count_input_tokens_left(
                prompt_driver.prompt_stack_to_string(temp_stack)
            )
            if tokens_left > 0:
                # There are still tokens left, no need to prune.
                should_prune = False
            else:
                # There were not any tokens left, prune one run and try again.
                num_runs_to_fit_in_prompt -= 1

    if num_runs_to_fit_in_prompt:
        memory_inputs = self.to_prompt_stack(num_runs_to_fit_in_prompt).inputs
        if index:
            prompt_stack.inputs[index:index] = memory_inputs
        else:
            prompt_stack.inputs.extend(memory_inputs)

    return prompt_stack

after_add_run()

Source code in griptape/memory/structure/base_conversation_memory.py 
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def after_add_run(self) -> None:
    if self.driver:
        self.driver.store(self)

before_add_run()

Source code in griptape/memory/structure/base_conversation_memory.py 
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def before_add_run(self) -> None:
    pass

to_prompt_stack(last_n=None) abstractmethod

Source code in griptape/memory/structure/base_conversation_memory.py 
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@abstractmethod
def to_prompt_stack(self, last_n: Optional[int] = None) -> PromptStack: ...

try_add_run(run) abstractmethod

Source code in griptape/memory/structure/base_conversation_memory.py 
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@abstractmethod
def try_add_run(self, run: Run) -> None: ...