Chat memory buffer
ChatMemoryBuffer #
Bases: BaseChatStoreMemory
Simple buffer for storing chat history.
Source code in llama-index-core/llama_index/core/memory/chat_memory_buffer.py
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class_name
classmethod
#
class_name() -> str
Get class name.
Source code in llama-index-core/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, **kwargs: Any) -> ChatMemoryBuffer
Create a chat memory buffer from an LLM.
Source code in llama-index-core/llama_index/core/memory/chat_memory_buffer.py
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to_string #
to_string() -> str
Convert memory to string.
Source code in llama-index-core/llama_index/core/memory/chat_memory_buffer.py
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from_string
classmethod
#
from_string(json_str: str) -> ChatMemoryBuffer
Create a chat memory buffer from a string.
Source code in llama-index-core/llama_index/core/memory/chat_memory_buffer.py
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to_dict #
to_dict(**kwargs: Any) -> dict
Convert memory to dict.
Source code in llama-index-core/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]
Get chat history.
Source code in llama-index-core/llama_index/core/memory/chat_memory_buffer.py
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