Chat memory buffer
ChatMemoryBuffer #
Bases: BaseChatStoreMemory
简单的缓冲区,用于存储聊天记录。
Source code in llama_index/core/memory/chat_memory_buffer.py
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class_name
classmethod
#
class_name() -> str
获取类名。
Source code in llama_index/core/memory/chat_memory_buffer.py
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from_defaults
classmethod
#
from_defaults(
chat_history: Optional[List[ChatMessage]] = None,
llm: Optional[LLM] = None,
chat_store: Optional[BaseChatStore] = None,
chat_store_key: str = DEFAULT_CHAT_STORE_KEY,
token_limit: Optional[int] = None,
tokenizer_fn: Optional[Callable[[str], List]] = None,
) -> ChatMemoryBuffer
从LLM创建一个聊天内存缓冲区。
Source code in llama_index/core/memory/chat_memory_buffer.py
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to_string #
to_string() -> str
将内存转换为字符串。
Source code in llama_index/core/memory/chat_memory_buffer.py
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from_string
classmethod
#
from_string(json_str: str) -> ChatMemoryBuffer
从字符串创建一个聊天内存缓冲区。
Source code in llama_index/core/memory/chat_memory_buffer.py
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to_dict #
to_dict(**kwargs: Any) -> dict
将内存转换为字典。
Source code in llama_index/core/memory/chat_memory_buffer.py
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get #
get(
input: Optional[str] = None,
initial_token_count: int = 0,
**kwargs: Any
) -> List[ChatMessage]
获取聊天记录。
Source code in llama_index/core/memory/chat_memory_buffer.py
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