紧缩问题聊天引擎

class llama_index.chat_engine.condense_question.CondenseQuestionChatEngine(query_engine: BaseQueryEngine, condense_question_prompt: Prompt, chat_history: List[Tuple[str, str]], service_context: ServiceContext, verbose: bool = False)

Condense Question Chat Engine.

First generate a standalone question from conversation context and last message, then query the query engine for a response.

async achat(message: str) → Union[Response, StreamingResponse]

Async version of main chat interface.

chat(message: str) → Union[Response, StreamingResponse]

Main chat interface.

chat_repl() → None

Enter interactive chat REPL.

classmethod from_defaults(query_engine: BaseQueryEngine, condense_question_prompt: Optional[Prompt] = None, chat_history: Optional[List[Tuple[str, str]]] = None, service_context: Optional[ServiceContext] = None, verbose: bool = False, **kwargs: Any) → CondenseQuestionChatEngine

Initialize a CondenseQuestionChatEngine from default parameters.

reset() → None

Reset conversation state.