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Get the namespace of the langchain object. For example, if the class is langchain.llms.openai.OpenAI, then the namespace is [“langchain”, “llms”, “openai”] classmethod is_lc_serializable() → bool¶ Is this class serializable? json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional...
https://api.python.langchain.com/en/latest/memory/langchain.memory.summary.ConversationSummaryMemory.html
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predict_new_summary(messages: List[BaseMessage], existing_summary: str) → str¶ save_context(inputs: Dict[str, Any], outputs: Dict[str, str]) → None[source]¶ Save context from this conversation to buffer. classmethod schema(by_alias: bool = True, ref_template: unicode = '#/definitions/{model}') → DictStrAny¶ classmethod...
https://api.python.langchain.com/en/latest/memory/langchain.memory.summary.ConversationSummaryMemory.html
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langchain.memory.chat_message_histories.momento.MomentoChatMessageHistory¶ class langchain.memory.chat_message_histories.momento.MomentoChatMessageHistory(session_id: str, cache_client: momento.CacheClient, cache_name: str, *, key_prefix: str = 'message_store:', ttl: Optional[timedelta] = None, ensure_cache_exists: boo...
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_message_histories.momento.MomentoChatMessageHistory.html
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add_message(message) Store a message in the cache. add_user_message(message) Convenience method for adding a human message string to the store. clear() Remove the session's messages from the cache. from_client_params(session_id, cache_name, ...) Construct cache from CacheClient parameters. __init__(session_id: str, cac...
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_message_histories.momento.MomentoChatMessageHistory.html
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Store a message in the cache. Parameters message (BaseMessage) – The message object to store. Raises SdkException – Momento service or network error. Exception – Unexpected response. add_user_message(message: str) → None¶ Convenience method for adding a human message string to the store. Parameters message – The string...
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_message_histories.momento.MomentoChatMessageHistory.html
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langchain.memory.entity.ConversationEntityMemory¶ class langchain.memory.entity.ConversationEntityMemory[source]¶ Bases: BaseChatMemory Entity extractor & summarizer memory. Extracts named entities from the recent chat history and generates summaries. With a swappable entity store, persisting entities across conversati...
https://api.python.langchain.com/en/latest/memory/langchain.memory.entity.ConversationEntityMemory.html
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param entity_extraction_prompt: langchain.schema.prompt_template.BasePromptTemplate = PromptTemplate(input_variables=['history', 'input'], template='You are an AI assistant reading the transcript of a conversation between an AI and a human. Extract all of the proper nouns from the last line of conversation. As a guidel...
https://api.python.langchain.com/en/latest/memory/langchain.memory.entity.ConversationEntityMemory.html
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trying to improve Langchain\'s interfaces, the UX, its integrations with various products the user might want ... a lot of stuff. I\'m working with Person #2.\nOutput: Langchain, Person #2\nEND OF EXAMPLE\n\nConversation history (for reference only):\n{history}\nLast line of conversation (for extraction):\nHuman: {inpu...
https://api.python.langchain.com/en/latest/memory/langchain.memory.entity.ConversationEntityMemory.html
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param entity_store: langchain.memory.entity.BaseEntityStore [Optional]¶ param entity_summarization_prompt: langchain.schema.prompt_template.BasePromptTemplate = PromptTemplate(input_variables=['entity', 'summary', 'history', 'input'], template='You are an AI assistant helping a human keep track of facts about relevant ...
https://api.python.langchain.com/en/latest/memory/langchain.memory.entity.ConversationEntityMemory.html
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Behaves as if Config.extra = ‘allow’ was set since it adds all passed values copy(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, update: Optional[DictStrAny] = None, deep: bool = False) → Model¶ Duplicate a model, optionally...
https://api.python.langchain.com/en/latest/memory/langchain.memory.entity.ConversationEntityMemory.html
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classmethod is_lc_serializable() → bool¶ Is this class serializable? json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defa...
https://api.python.langchain.com/en/latest/memory/langchain.memory.entity.ConversationEntityMemory.html
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save_context(inputs: Dict[str, Any], outputs: Dict[str, str]) → None[source]¶ Save context from this conversation history to the entity store. Generates a summary for each entity in the entity cache by prompting the model, and saves these summaries to the entity store. classmethod schema(by_alias: bool = True, ref_temp...
https://api.python.langchain.com/en/latest/memory/langchain.memory.entity.ConversationEntityMemory.html
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langchain.memory.chat_message_histories.redis.RedisChatMessageHistory¶ class langchain.memory.chat_message_histories.redis.RedisChatMessageHistory(session_id: str, url: str = 'redis://localhost:6379/0', key_prefix: str = 'message_store:', ttl: Optional[int] = None)[source]¶ Chat message history stored in a Redis databa...
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_message_histories.redis.RedisChatMessageHistory.html
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langchain.memory.chat_message_histories.sql.DefaultMessageConverter¶ class langchain.memory.chat_message_histories.sql.DefaultMessageConverter(table_name: str)[source]¶ The default message converter for SQLChatMessageHistory. Methods __init__(table_name) from_sql_model(sql_message) Convert a SQLAlchemy model to a BaseM...
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_message_histories.sql.DefaultMessageConverter.html
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langchain.memory.entity.InMemoryEntityStore¶ class langchain.memory.entity.InMemoryEntityStore[source]¶ Bases: BaseEntityStore In-memory Entity store. 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 st...
https://api.python.langchain.com/en/latest/memory/langchain.memory.entity.InMemoryEntityStore.html
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delete(key: str) → None[source]¶ Delete entity value from store. dict(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults...
https://api.python.langchain.com/en/latest/memory/langchain.memory.entity.InMemoryEntityStore.html
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classmethod parse_obj(obj: Any) → Model¶ classmethod parse_raw(b: Union[str, bytes], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) → Model¶ classmethod schema(by_alias: bool = True, ref_template: unicode = '#/definitions/{model}') → DictStrAny¶ classmet...
https://api.python.langchain.com/en/latest/memory/langchain.memory.entity.InMemoryEntityStore.html
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langchain.memory.chat_message_histories.streamlit.StreamlitChatMessageHistory¶ class langchain.memory.chat_message_histories.streamlit.StreamlitChatMessageHistory(key: str = 'langchain_messages')[source]¶ Chat message history that stores messages in Streamlit session state. Parameters key – The key to use in Streamlit ...
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_message_histories.streamlit.StreamlitChatMessageHistory.html
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langchain.memory.vectorstore.VectorStoreRetrieverMemory¶ class langchain.memory.vectorstore.VectorStoreRetrieverMemory[source]¶ Bases: BaseMemory VectorStoreRetriever-backed memory. Create a new model by parsing and validating input data from keyword arguments. Raises ValidationError if the input data cannot be parsed ...
https://api.python.langchain.com/en/latest/memory/langchain.memory.vectorstore.VectorStoreRetrieverMemory.html
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exclude – fields to exclude from new model, as with values this takes precedence over include update – values to change/add in the new model. Note: the data is not validated before creating the new model: you should trust this data deep – set to True to make a deep copy of the model Returns new model instance dict(*, i...
https://api.python.langchain.com/en/latest/memory/langchain.memory.vectorstore.VectorStoreRetrieverMemory.html
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Generate a JSON representation of the model, include and exclude arguments as per dict(). encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps(). classmethod lc_id() → List[str]¶ A unique identifier for this class for serialization purposes. The unique identifier is a ...
https://api.python.langchain.com/en/latest/memory/langchain.memory.vectorstore.VectorStoreRetrieverMemory.html
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These attributes must be accepted by the constructor. property lc_secrets: Dict[str, str]¶ A map of constructor argument names to secret ids. For example,{“openai_api_key”: “OPENAI_API_KEY”} property memory_variables: List[str]¶ The list of keys emitted from the load_memory_variables method. Examples using VectorStoreR...
https://api.python.langchain.com/en/latest/memory/langchain.memory.vectorstore.VectorStoreRetrieverMemory.html
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langchain.memory.motorhead_memory.MotorheadMemory¶ class langchain.memory.motorhead_memory.MotorheadMemory[source]¶ Bases: BaseChatMemory Chat message memory backed by Motorhead service. Create a new model by parsing and validating input data from keyword arguments. Raises ValidationError if the input data cannot be pa...
https://api.python.langchain.com/en/latest/memory/langchain.memory.motorhead_memory.MotorheadMemory.html
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exclude – fields to exclude from new model, as with values this takes precedence over include update – values to change/add in the new model. Note: the data is not validated before creating the new model: you should trust this data deep – set to True to make a deep copy of the model Returns new model instance delete_se...
https://api.python.langchain.com/en/latest/memory/langchain.memory.motorhead_memory.MotorheadMemory.html
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Generate a JSON representation of the model, include and exclude arguments as per dict(). encoder is an optional function to supply as default to json.dumps(), other arguments as per json.dumps(). classmethod lc_id() → List[str]¶ A unique identifier for this class for serialization purposes. The unique identifier is a ...
https://api.python.langchain.com/en/latest/memory/langchain.memory.motorhead_memory.MotorheadMemory.html
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These attributes must be accepted by the constructor. property lc_secrets: Dict[str, str]¶ A map of constructor argument names to secret ids. For example,{“openai_api_key”: “OPENAI_API_KEY”} property memory_variables: List[str]¶ The string keys this memory class will add to chain inputs. Examples using MotorheadMemory¶...
https://api.python.langchain.com/en/latest/memory/langchain.memory.motorhead_memory.MotorheadMemory.html
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langchain.memory.summary_buffer.ConversationSummaryBufferMemory¶ class langchain.memory.summary_buffer.ConversationSummaryBufferMemory[source]¶ Bases: BaseChatMemory, SummarizerMixin Buffer with summarizer for storing conversation memory. Create a new model by parsing and validating input data from keyword arguments. R...
https://api.python.langchain.com/en/latest/memory/langchain.memory.summary_buffer.ConversationSummaryBufferMemory.html
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clear() → None[source]¶ Clear memory contents. classmethod construct(_fields_set: Optional[SetStr] = None, **values: Any) → Model¶ Creates a new model setting __dict__ and __fields_set__ from trusted or pre-validated data. Default values are respected, but no other validation is performed. Behaves as if Config.extra = ...
https://api.python.langchain.com/en/latest/memory/langchain.memory.summary_buffer.ConversationSummaryBufferMemory.html
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Get the namespace of the langchain object. For example, if the class is langchain.llms.openai.OpenAI, then the namespace is [“langchain”, “llms”, “openai”] classmethod is_lc_serializable() → bool¶ Is this class serializable? json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional...
https://api.python.langchain.com/en/latest/memory/langchain.memory.summary_buffer.ConversationSummaryBufferMemory.html
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predict_new_summary(messages: List[BaseMessage], existing_summary: str) → str¶ prune() → None[source]¶ Prune buffer if it exceeds max token limit save_context(inputs: Dict[str, Any], outputs: Dict[str, str]) → None[source]¶ Save context from this conversation to buffer. classmethod schema(by_alias: bool = True, ref_tem...
https://api.python.langchain.com/en/latest/memory/langchain.memory.summary_buffer.ConversationSummaryBufferMemory.html
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langchain.memory.entity.RedisEntityStore¶ class langchain.memory.entity.RedisEntityStore[source]¶ Bases: BaseEntityStore Redis-backed Entity store. Entities get a TTL of 1 day by default, and that TTL is extended by 3 days every time the entity is read back. Create a new model by parsing and validating input data from ...
https://api.python.langchain.com/en/latest/memory/langchain.memory.entity.RedisEntityStore.html
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deep – set to True to make a deep copy of the model Returns new model instance delete(key: str) → None[source]¶ Delete entity value from store. dict(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip...
https://api.python.langchain.com/en/latest/memory/langchain.memory.entity.RedisEntityStore.html
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classmethod parse_obj(obj: Any) → Model¶ classmethod parse_raw(b: Union[str, bytes], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) → Model¶ classmethod schema(by_alias: bool = True, ref_template: unicode = '#/definitions/{model}') → DictStrAny¶ classmet...
https://api.python.langchain.com/en/latest/memory/langchain.memory.entity.RedisEntityStore.html
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langchain.memory.chat_message_histories.rocksetdb.RocksetChatMessageHistory¶ class langchain.memory.chat_message_histories.rocksetdb.RocksetChatMessageHistory(session_id: str, client: ~typing.Any, collection: str, workspace: str = 'commons', messages_key: str = 'messages', sync: bool = False, message_uuid_method: ~typi...
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_message_histories.rocksetdb.RocksetChatMessageHistory.html
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If set, all messages will have an id field within the additional_kwargs property. If this param is not set and sync is False, message IDs will not be created. If this param is not set and sync is True, the uuid.uuid4 method will be used to create message IDs. Attributes ADD_TIMEOUT_MS CREATE_TIMEOUT_MS SLEEP_INTERVAL_M...
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_message_histories.rocksetdb.RocksetChatMessageHistory.html
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to False. NOTE: setting this to True will slow down performance. message_uuid_method (-) – The method that generates message IDs. If set, all messages will have an id field within the additional_kwargs property. If this param is not set and sync is False, message IDs will not be created. If this param is not set and sy...
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_message_histories.rocksetdb.RocksetChatMessageHistory.html
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langchain.memory.combined.CombinedMemory¶ class langchain.memory.combined.CombinedMemory[source]¶ Bases: BaseMemory Combining multiple memories’ data together. 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....
https://api.python.langchain.com/en/latest/memory/langchain.memory.combined.CombinedMemory.html
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deep – set to True to make a deep copy of the model Returns new model instance dict(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, ex...
https://api.python.langchain.com/en/latest/memory/langchain.memory.combined.CombinedMemory.html
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The unique identifier is a list of strings that describes the path to the object. load_memory_variables(inputs: Dict[str, Any]) → Dict[str, str][source]¶ Load all vars from sub-memories. classmethod parse_file(path: Union[str, Path], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, a...
https://api.python.langchain.com/en/latest/memory/langchain.memory.combined.CombinedMemory.html
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property memory_variables: List[str]¶ All the memory variables that this instance provides. Examples using CombinedMemory¶ Zep Multiple Memory classes
https://api.python.langchain.com/en/latest/memory/langchain.memory.combined.CombinedMemory.html
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langchain.memory.utils.get_prompt_input_key¶ langchain.memory.utils.get_prompt_input_key(inputs: Dict[str, Any], memory_variables: List[str]) → str[source]¶ Get the prompt input key. Parameters inputs – Dict[str, Any] memory_variables – List[str] Returns A prompt input key.
https://api.python.langchain.com/en/latest/memory/langchain.memory.utils.get_prompt_input_key.html
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langchain.memory.buffer.ConversationStringBufferMemory¶ class langchain.memory.buffer.ConversationStringBufferMemory[source]¶ Bases: BaseMemory Buffer for storing conversation memory. Create a new model by parsing and validating input data from keyword arguments. Raises ValidationError if the input data cannot be parse...
https://api.python.langchain.com/en/latest/memory/langchain.memory.buffer.ConversationStringBufferMemory.html
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deep – set to True to make a deep copy of the model Returns new model instance dict(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, ex...
https://api.python.langchain.com/en/latest/memory/langchain.memory.buffer.ConversationStringBufferMemory.html
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The unique identifier is a list of strings that describes the path to the object. load_memory_variables(inputs: Dict[str, Any]) → Dict[str, str][source]¶ Return history buffer. classmethod parse_file(path: Union[str, Path], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickl...
https://api.python.langchain.com/en/latest/memory/langchain.memory.buffer.ConversationStringBufferMemory.html
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langchain.memory.zep_memory.ZepMemory¶ class langchain.memory.zep_memory.ZepMemory[source]¶ Bases: ConversationBufferMemory Persist your chain history to the Zep Memory Server. The number of messages returned by Zep and when the Zep server summarizes chat histories is configurable. See the Zep documentation for more de...
https://api.python.langchain.com/en/latest/memory/langchain.memory.zep_memory.ZepMemory.html
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“http://localhost:8000”. api_key (Optional[str], optional) – Your Zep API key. Defaults to None. output_key (Optional[str], optional) – The key to use for the output message. Defaults to None. input_key (Optional[str], optional) – The key to use for the input message. Defaults to None. return_messages (bool, optional) ...
https://api.python.langchain.com/en/latest/memory/langchain.memory.zep_memory.ZepMemory.html
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Behaves as if Config.extra = ‘allow’ was set since it adds all passed values copy(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, update: Optional[DictStrAny] = None, deep: bool = False) → Model¶ Duplicate a model, optionally...
https://api.python.langchain.com/en/latest/memory/langchain.memory.zep_memory.ZepMemory.html
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classmethod is_lc_serializable() → bool¶ Is this class serializable? json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defa...
https://api.python.langchain.com/en/latest/memory/langchain.memory.zep_memory.ZepMemory.html
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outputs (Dict[str, str]) – The outputs from the chain. metadata (Optional[Dict[str, Any]], optional) – Any metadata to save with the context. Defaults to None Returns None classmethod schema(by_alias: bool = True, ref_template: unicode = '#/definitions/{model}') → DictStrAny¶ classmethod schema_json(*, by_alias: bool =...
https://api.python.langchain.com/en/latest/memory/langchain.memory.zep_memory.ZepMemory.html
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langchain.memory.chat_message_histories.cassandra.CassandraChatMessageHistory¶ class langchain.memory.chat_message_histories.cassandra.CassandraChatMessageHistory(session_id: str, session: Session, keyspace: str, table_name: str = 'message_store', ttl_seconds: int | None = None)[source]¶ Chat message history that store...
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_message_histories.cassandra.CassandraChatMessageHistory.html
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message – The string contents of a human message. clear() → None[source]¶ Clear session memory from DB Examples using CassandraChatMessageHistory¶ Cassandra Chat Message History Cassandra
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_message_histories.cassandra.CassandraChatMessageHistory.html
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langchain.memory.chat_message_histories.cosmos_db.CosmosDBChatMessageHistory¶ class langchain.memory.chat_message_histories.cosmos_db.CosmosDBChatMessageHistory(cosmos_endpoint: str, cosmos_database: str, cosmos_container: str, session_id: str, user_id: str, credential: Any = None, connection_string: Optional[str] = No...
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_message_histories.cosmos_db.CosmosDBChatMessageHistory.html
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Convenience method for adding a human message string to the store. clear() Clear session memory from this memory and cosmos. load_messages() Retrieve the messages from Cosmos prepare_cosmos() Prepare the CosmosDB client. upsert_messages() Update the cosmosdb item. __init__(cosmos_endpoint: str, cosmos_database: str, co...
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_message_histories.cosmos_db.CosmosDBChatMessageHistory.html
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Convenience method for adding a human message string to the store. Parameters message – The string contents of a human message. clear() → None[source]¶ Clear session memory from this memory and cosmos. load_messages() → None[source]¶ Retrieve the messages from Cosmos prepare_cosmos() → None[source]¶ Prepare the CosmosD...
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_message_histories.cosmos_db.CosmosDBChatMessageHistory.html
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langchain.memory.summary.SummarizerMixin¶ class langchain.memory.summary.SummarizerMixin[source]¶ 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 =...
https://api.python.langchain.com/en/latest/memory/langchain.memory.summary.SummarizerMixin.html
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Behaves as if Config.extra = ‘allow’ was set since it adds all passed values copy(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, update: Optional[DictStrAny] = None, deep: bool = False) → Model¶ Duplicate a model, optionally...
https://api.python.langchain.com/en/latest/memory/langchain.memory.summary.SummarizerMixin.html
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classmethod from_orm(obj: Any) → Model¶ json(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_n...
https://api.python.langchain.com/en/latest/memory/langchain.memory.summary.SummarizerMixin.html
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langchain.memory.chat_message_histories.firestore.FirestoreChatMessageHistory¶ class langchain.memory.chat_message_histories.firestore.FirestoreChatMessageHistory(collection_name: str, session_id: str, user_id: str, firestore_client: Optional[Client] = None)[source]¶ Chat message history backed by Google Firestore. Ini...
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_message_histories.firestore.FirestoreChatMessageHistory.html
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Add a Message object to the store. Parameters message – A BaseMessage object to store. add_user_message(message: str) → None¶ Convenience method for adding a human message string to the store. Parameters message – The string contents of a human message. clear() → None[source]¶ Clear session memory from this memory and ...
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_message_histories.firestore.FirestoreChatMessageHistory.html
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langchain.memory.token_buffer.ConversationTokenBufferMemory¶ class langchain.memory.token_buffer.ConversationTokenBufferMemory[source]¶ Bases: BaseChatMemory Conversation chat memory with token limit. Create a new model by parsing and validating input data from keyword arguments. Raises ValidationError if the input dat...
https://api.python.langchain.com/en/latest/memory/langchain.memory.token_buffer.ConversationTokenBufferMemory.html
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the new model: you should trust this data deep – set to True to make a deep copy of the model Returns new model instance dict(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[boo...
https://api.python.langchain.com/en/latest/memory/langchain.memory.token_buffer.ConversationTokenBufferMemory.html
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A unique identifier for this class for serialization purposes. The unique identifier is a list of strings that describes the path to the object. load_memory_variables(inputs: Dict[str, Any]) → Dict[str, Any][source]¶ Return history buffer. classmethod parse_file(path: Union[str, Path], *, content_type: unicode = None, ...
https://api.python.langchain.com/en/latest/memory/langchain.memory.token_buffer.ConversationTokenBufferMemory.html
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property lc_attributes: Dict¶ List of attribute names that should be included in the serialized kwargs. These attributes must be accepted by the constructor. property lc_secrets: Dict[str, str]¶ A map of constructor argument names to secret ids. For example,{“openai_api_key”: “OPENAI_API_KEY”} Examples using Conversati...
https://api.python.langchain.com/en/latest/memory/langchain.memory.token_buffer.ConversationTokenBufferMemory.html
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langchain.memory.chat_message_histories.mongodb.MongoDBChatMessageHistory¶ class langchain.memory.chat_message_histories.mongodb.MongoDBChatMessageHistory(connection_string: str, session_id: str, database_name: str = 'chat_history', collection_name: str = 'message_store')[source]¶ Chat message history that stores histo...
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_message_histories.mongodb.MongoDBChatMessageHistory.html
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langchain.memory.entity.SQLiteEntityStore¶ class langchain.memory.entity.SQLiteEntityStore[source]¶ Bases: BaseEntityStore SQLite-backed Entity store 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 ses...
https://api.python.langchain.com/en/latest/memory/langchain.memory.entity.SQLiteEntityStore.html
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delete(key: str) → None[source]¶ Delete entity value from store. dict(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, exclude_defaults...
https://api.python.langchain.com/en/latest/memory/langchain.memory.entity.SQLiteEntityStore.html
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classmethod parse_obj(obj: Any) → Model¶ classmethod parse_raw(b: Union[str, bytes], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) → Model¶ classmethod schema(by_alias: bool = True, ref_template: unicode = '#/definitions/{model}') → DictStrAny¶ classmet...
https://api.python.langchain.com/en/latest/memory/langchain.memory.entity.SQLiteEntityStore.html
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langchain.memory.chat_message_histories.in_memory.ChatMessageHistory¶ class langchain.memory.chat_message_histories.in_memory.ChatMessageHistory[source]¶ Bases: BaseChatMessageHistory, BaseModel In memory implementation of chat message history. Stores messages in an in memory list. Create a new model by parsing and val...
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_message_histories.in_memory.ChatMessageHistory.html
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Parameters include – fields to include in new model exclude – fields to exclude from new model, as with values this takes precedence over include update – values to change/add in the new model. Note: the data is not validated before creating the new model: you should trust this data deep – set to True to make a deep co...
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_message_histories.in_memory.ChatMessageHistory.html
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classmethod parse_obj(obj: Any) → Model¶ classmethod parse_raw(b: Union[str, bytes], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickle: bool = False) → Model¶ classmethod schema(by_alias: bool = True, ref_template: unicode = '#/definitions/{model}') → DictStrAny¶ classmet...
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_message_histories.in_memory.ChatMessageHistory.html
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langchain.memory.buffer.ConversationBufferMemory¶ class langchain.memory.buffer.ConversationBufferMemory[source]¶ Bases: BaseChatMemory Buffer for storing conversation memory. Create a new model by parsing and validating input data from keyword arguments. Raises ValidationError if the input data cannot be parsed to for...
https://api.python.langchain.com/en/latest/memory/langchain.memory.buffer.ConversationBufferMemory.html
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deep – set to True to make a deep copy of the model Returns new model instance dict(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, ex...
https://api.python.langchain.com/en/latest/memory/langchain.memory.buffer.ConversationBufferMemory.html
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The unique identifier is a list of strings that describes the path to the object. load_memory_variables(inputs: Dict[str, Any]) → Dict[str, Any][source]¶ Return history buffer. classmethod parse_file(path: Union[str, Path], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None, allow_pickl...
https://api.python.langchain.com/en/latest/memory/langchain.memory.buffer.ConversationBufferMemory.html
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These attributes must be accepted by the constructor. property lc_secrets: Dict[str, str]¶ A map of constructor argument names to secret ids. For example,{“openai_api_key”: “OPENAI_API_KEY”} Examples using ConversationBufferMemory¶ Gradio SceneXplain Xata chat memory Streamlit Chat Message History Dynamodb Chat Message...
https://api.python.langchain.com/en/latest/memory/langchain.memory.buffer.ConversationBufferMemory.html
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langchain.memory.kg.ConversationKGMemory¶ class langchain.memory.kg.ConversationKGMemory[source]¶ Bases: BaseChatMemory Knowledge graph conversation memory. Integrates with external knowledge graph to store and retrieve information about knowledge triples in the conversation. Create a new model by parsing and validatin...
https://api.python.langchain.com/en/latest/memory/langchain.memory.kg.ConversationKGMemory.html
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param entity_extraction_prompt: langchain.schema.prompt_template.BasePromptTemplate = PromptTemplate(input_variables=['history', 'input'], template='You are an AI assistant reading the transcript of a conversation between an AI and a human. Extract all of the proper nouns from the last line of conversation. As a guidel...
https://api.python.langchain.com/en/latest/memory/langchain.memory.kg.ConversationKGMemory.html
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trying to improve Langchain\'s interfaces, the UX, its integrations with various products the user might want ... a lot of stuff. I\'m working with Person #2.\nOutput: Langchain, Person #2\nEND OF EXAMPLE\n\nConversation history (for reference only):\n{history}\nLast line of conversation (for extraction):\nHuman: {inpu...
https://api.python.langchain.com/en/latest/memory/langchain.memory.kg.ConversationKGMemory.html
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param human_prefix: str = 'Human'¶ param input_key: Optional[str] = None¶ param k: int = 2¶ param kg: langchain.graphs.networkx_graph.NetworkxEntityGraph [Optional]¶
https://api.python.langchain.com/en/latest/memory/langchain.memory.kg.ConversationKGMemory.html
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param knowledge_extraction_prompt: langchain.schema.prompt_template.BasePromptTemplate = PromptTemplate(input_variables=['history', 'input'], template="You are a networked intelligence helping a human track knowledge triples about all relevant people, things, concepts, etc. and integrating them with your knowledge stor...
https://api.python.langchain.com/en/latest/memory/langchain.memory.kg.ConversationKGMemory.html
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mathematician, and scientist who lived in the 17th century.\nPerson #1: The Descartes I'm referring to is a standup comedian and interior designer from Montreal.\nAI: Oh yes, He is a comedian and an interior designer. He has been in the industry for 30 years. His favorite food is baked bean pie.\nLast line of conversat...
https://api.python.langchain.com/en/latest/memory/langchain.memory.kg.ConversationKGMemory.html
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param llm: langchain.schema.language_model.BaseLanguageModel [Required]¶ param output_key: Optional[str] = None¶ param return_messages: bool = False¶ param summary_message_cls: Type[langchain.schema.messages.BaseMessage] = <class 'langchain.schema.messages.SystemMessage'>¶ Number of previous utterances to include in th...
https://api.python.langchain.com/en/latest/memory/langchain.memory.kg.ConversationKGMemory.html
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deep – set to True to make a deep copy of the model Returns new model instance dict(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, ex...
https://api.python.langchain.com/en/latest/memory/langchain.memory.kg.ConversationKGMemory.html
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classmethod lc_id() → List[str]¶ A unique identifier for this class for serialization purposes. The unique identifier is a list of strings that describes the path to the object. load_memory_variables(inputs: Dict[str, Any]) → Dict[str, Any][source]¶ Return history buffer. classmethod parse_file(path: Union[str, Path], ...
https://api.python.langchain.com/en/latest/memory/langchain.memory.kg.ConversationKGMemory.html
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Examples using ConversationKGMemory¶ Conversation Knowledge Graph
https://api.python.langchain.com/en/latest/memory/langchain.memory.kg.ConversationKGMemory.html
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langchain.memory.chat_message_histories.dynamodb.DynamoDBChatMessageHistory¶ class langchain.memory.chat_message_histories.dynamodb.DynamoDBChatMessageHistory(table_name: str, session_id: str, endpoint_url: Optional[str] = None, primary_key_name: str = 'SessionId', key: Optional[Dict[str, str]] = None, boto3_session: O...
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_message_histories.dynamodb.DynamoDBChatMessageHistory.html
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Append the message to the record in DynamoDB add_user_message(message) Convenience method for adding a human message string to the store. clear() Clear session memory from DynamoDB __init__(table_name: str, session_id: str, endpoint_url: Optional[str] = None, primary_key_name: str = 'SessionId', key: Optional[Dict[str,...
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_message_histories.dynamodb.DynamoDBChatMessageHistory.html
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langchain.memory.chat_message_histories.zep.ZepChatMessageHistory¶ class langchain.memory.chat_message_histories.zep.ZepChatMessageHistory(session_id: str, url: str = 'http://localhost:8000', api_key: Optional[str] = None)[source]¶ Chat message history that uses Zep as a backend. Recommended usage: # Set up Zep Chat Hi...
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_message_histories.zep.ZepChatMessageHistory.html
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Append the message to the Zep memory history add_user_message(message[, metadata]) Convenience method for adding a human message string to the store. clear() Clear session memory from Zep. search(query[, metadata, limit]) Search Zep memory for messages matching the query __init__(session_id: str, url: str = 'http://loc...
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_message_histories.zep.ZepChatMessageHistory.html
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langchain.memory.simple.SimpleMemory¶ class langchain.memory.simple.SimpleMemory[source]¶ Bases: BaseMemory Simple memory for storing context or other information that shouldn’t ever change between prompts. Create a new model by parsing and validating input data from keyword arguments. Raises ValidationError if the inp...
https://api.python.langchain.com/en/latest/memory/langchain.memory.simple.SimpleMemory.html
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deep – set to True to make a deep copy of the model Returns new model instance dict(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, ex...
https://api.python.langchain.com/en/latest/memory/langchain.memory.simple.SimpleMemory.html
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The unique identifier is a list of strings that describes the path to the object. load_memory_variables(inputs: Dict[str, Any]) → Dict[str, str][source]¶ Return key-value pairs given the text input to the chain. classmethod parse_file(path: Union[str, Path], *, content_type: unicode = None, encoding: unicode = 'utf8', ...
https://api.python.langchain.com/en/latest/memory/langchain.memory.simple.SimpleMemory.html
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property memory_variables: List[str]¶ The string keys this memory class will add to chain inputs.
https://api.python.langchain.com/en/latest/memory/langchain.memory.simple.SimpleMemory.html
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langchain.memory.chat_memory.BaseChatMemory¶ class langchain.memory.chat_memory.BaseChatMemory[source]¶ Bases: BaseMemory, ABC Abstract base class for chat memory. 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 mo...
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_memory.BaseChatMemory.html
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deep – set to True to make a deep copy of the model Returns new model instance dict(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, ex...
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_memory.BaseChatMemory.html
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The unique identifier is a list of strings that describes the path to the object. abstract load_memory_variables(inputs: Dict[str, Any]) → Dict[str, Any]¶ Return key-value pairs given the text input to the chain. classmethod parse_file(path: Union[str, Path], *, content_type: unicode = None, encoding: unicode = 'utf8',...
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_memory.BaseChatMemory.html
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abstract property memory_variables: List[str]¶ The string keys this memory class will add to chain inputs.
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_memory.BaseChatMemory.html
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langchain.memory.chat_message_histories.postgres.PostgresChatMessageHistory¶ class langchain.memory.chat_message_histories.postgres.PostgresChatMessageHistory(session_id: str, connection_string: str = 'postgresql://postgres:mypassword@localhost/chat_history', table_name: str = 'message_store')[source]¶ Chat message his...
https://api.python.langchain.com/en/latest/memory/langchain.memory.chat_message_histories.postgres.PostgresChatMessageHistory.html
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langchain.memory.readonly.ReadOnlySharedMemory¶ class langchain.memory.readonly.ReadOnlySharedMemory[source]¶ Bases: BaseMemory A memory wrapper that is read-only and cannot be changed. Create a new model by parsing and validating input data from keyword arguments. Raises ValidationError if the input data cannot be par...
https://api.python.langchain.com/en/latest/memory/langchain.memory.readonly.ReadOnlySharedMemory.html
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deep – set to True to make a deep copy of the model Returns new model instance dict(*, include: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, exclude: Optional[Union[AbstractSetIntStr, MappingIntStrAny]] = None, by_alias: bool = False, skip_defaults: Optional[bool] = None, exclude_unset: bool = False, ex...
https://api.python.langchain.com/en/latest/memory/langchain.memory.readonly.ReadOnlySharedMemory.html
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The unique identifier is a list of strings that describes the path to the object. load_memory_variables(inputs: Dict[str, Any]) → Dict[str, str][source]¶ Load memory variables from memory. classmethod parse_file(path: Union[str, Path], *, content_type: unicode = None, encoding: unicode = 'utf8', proto: Protocol = None,...
https://api.python.langchain.com/en/latest/memory/langchain.memory.readonly.ReadOnlySharedMemory.html