langchain.memory.summary.SummarizerMixin

class langchain.memory.summary.SummarizerMixin(*, human_prefix: str = 'Human', ai_prefix: str = 'AI', llm: ~langchain.schema.language_model.BaseLanguageModel, prompt: ~langchain.schema.prompt_template.BasePromptTemplate = PromptTemplate(input_variables=['summary', 'new_lines'], output_parser=None, partial_variables={}, template='Progressively summarize the lines of conversation provided, adding onto the previous summary returning a new summary.\n\nEXAMPLE\nCurrent summary:\nThe human asks what the AI thinks of artificial intelligence. The AI thinks artificial intelligence is a force for good.\n\nNew lines of conversation:\nHuman: Why do you think artificial intelligence is a force for good?\nAI: Because artificial intelligence will help humans reach their full potential.\n\nNew summary:\nThe human asks what the AI thinks of artificial intelligence. The AI thinks artificial intelligence is a force for good because it will help humans reach their full potential.\nEND OF EXAMPLE\n\nCurrent summary:\n{summary}\n\nNew lines of conversation:\n{new_lines}\n\nNew summary:', template_format='f-string', validate_template=True), summary_message_cls: ~typing.Type[~langchain.schema.messages.BaseMessage] = <class 'langchain.schema.messages.SystemMessage'>)

Bases: BaseModel

Mixin for summarizer.

Create a new model by parsing and validating input data from keyword arguments.

Raises ValidationError if the input data cannot be parsed to form a valid model.

param ai_prefix: str = 'AI'

param human_prefix: str = 'Human'

param llm: langchain.schema.language_model.BaseLanguageModel [Required]

param prompt: langchain.schema.prompt_template.BasePromptTemplate = PromptTemplate(input_variables=['summary', 'new_lines'], output_parser=None, partial_variables={}, template='Progressively summarize the lines of conversation provided, adding onto the previous summary returning a new summary.\n\nEXAMPLE\nCurrent summary:\nThe human asks what the AI thinks of artificial intelligence. The AI thinks artificial intelligence is a force for good.\n\nNew lines of conversation:\nHuman: Why do you think artificial intelligence is a force for good?\nAI: Because artificial intelligence will help humans reach their full potential.\n\nNew summary:\nThe human asks what the AI thinks of artificial intelligence. The AI thinks artificial intelligence is a force for good because it will help humans reach their full potential.\nEND OF EXAMPLE\n\nCurrent summary:\n{summary}\n\nNew lines of conversation:\n{new_lines}\n\nNew summary:', template_format='f-string', validate_template=True)

param summary_message_cls: Type[langchain.schema.messages.BaseMessage] = <class 'langchain.schema.messages.SystemMessage'>

predict_new_summary(messages: List[BaseMessage], existing_summary: str) → str