Source code for langchain.agents.openai_functions_agent.agent_token_buffer_memory
"""Memory used to save agent output AND intermediate steps."""
from typing import Any, Dict, List
from langchain.agents.format_scratchpad.openai_functions import (
    format_to_openai_functions,
)
from langchain.memory.chat_memory import BaseChatMemory
from langchain.schema.language_model import BaseLanguageModel
from langchain.schema.messages import BaseMessage, get_buffer_string
[docs]class AgentTokenBufferMemory(BaseChatMemory):
    """Memory used to save agent output AND intermediate steps."""
    human_prefix: str = "Human"
    ai_prefix: str = "AI"
    llm: BaseLanguageModel
    memory_key: str = "history"
    max_token_limit: int = 12000
    """The max number of tokens to keep in the buffer. 
    Once the buffer exceeds this many tokens, the oldest messages will be pruned."""
    return_messages: bool = True
    output_key: str = "output"
    intermediate_steps_key: str = "intermediate_steps"
    @property
    def buffer(self) -> List[BaseMessage]:
        """String buffer of memory."""
        return self.chat_memory.messages
    @property
    def memory_variables(self) -> List[str]:
        """Will always return list of memory variables.
        :meta private:
        """
        return [self.memory_key]
[docs]    def load_memory_variables(self, inputs: Dict[str, Any]) -> Dict[str, Any]:
        """Return history buffer."""
        if self.return_messages:
            final_buffer: Any = self.buffer
        else:
            final_buffer = get_buffer_string(
                self.buffer,
                human_prefix=self.human_prefix,
                ai_prefix=self.ai_prefix,
            )