PostgresChatMessageHistory(key:object,engine:langchain_google_cloud_sql_pg.engine.PostgresEngine,history:langchain_google_cloud_sql_pg.async_chat_message_history.AsyncPostgresChatMessageHistory,)

aadd_message(message:langchain_core.messages.base.BaseMessage)->None

aadd_messages(messages:typing.Sequence[langchain_core.messages.base.BaseMessage],)->None

aclear()->None

add_message(message:langchain_core.messages.base.BaseMessage)->None

add_messages(messages:typing.Sequence[langchain_core.messages.base.BaseMessage],)->None

clear()->None

create(engine:langchain_google_cloud_sql_pg.engine.PostgresEngine,session_id:str,table_name:str,schema_name:str="public",)->langchain_google_cloud_sql_pg.chat_message_history.PostgresChatMessageHistory

create_sync(engine:langchain_google_cloud_sql_pg.engine.PostgresEngine,session_id:str,table_name:str,schema_name:str="public",)->langchain_google_cloud_sql_pg.chat_message_history.PostgresChatMessageHistory

__post_init__()

PostgresEngine(key:object,pool:sqlalchemy.ext.asyncio.engine.AsyncEngine,loop:typing.Optional[asyncio.events.AbstractEventLoop],thread:typing.Optional[threading.Thread],)

_ainit_chat_history_table(table_name:str,schema_name:str="public")->None

_ainit_checkpoint_table(table_name:str="checkpoints",schema_name:str="public")->None

_ainit_vectorstore_table(table_name:str,vector_size:int,schema_name:str="public",content_column:str="content",embedding_column:str="embedding",metadata_columns:list[langchain_google_cloud_sql_pg.engine.Column]=[],metadata_json_column:str="langchain_metadata",id_column:typing.Union[str,langchain_google_cloud_sql_pg.engine.Column]="langchain_id",overwrite_existing:bool=False,store_metadata:bool=True,)->None

_aload_table_schema(table_name:str,schema_name:str="public")->sqlalchemy.sql.schema.Table

_create(project_id:str,region:str,instance:str,database:str,ip_type:typing.Union[str,google.cloud.sql.connector.enums.IPTypes],user:typing.Optional[str]=None,password:typing.Optional[str]=None,loop:typing.Optional[asyncio.events.AbstractEventLoop]=None,thread:typing.Optional[threading.Thread]=None,quota_project:typing.Optional[str]=None,iam_account_email:typing.Optional[str]=None,engine_args:typing.Mapping={},)->langchain_google_cloud_sql_pg.engine.PostgresEngine

_run_as_async(coro:typing.Awaitable[langchain_google_cloud_sql_pg.engine.T],)->langchain_google_cloud_sql_pg.engine.T

_run_as_sync(coro:typing.Awaitable[langchain_google_cloud_sql_pg.engine.T],)->langchain_google_cloud_sql_pg.engine.T

afrom_instance(project_id:str,region:str,instance:str,database:str,user:typing.Optional[str]=None,password:typing.Optional[str]=None,ip_type:typing.Union[str,google.cloud.sql.connector.enums.IPTypes]=IPTypes.PUBLIC,quota_project:typing.Optional[str]=None,iam_account_email:typing.Optional[str]=None,engine_args:typing.Mapping={},)->langchain_google_cloud_sql_pg.engine.PostgresEngine

ainit_chat_history_table(table_name:str,schema_name:str="public")->None

ainit_checkpoint_table(table_name:str="checkpoints",schema_name:str="public")->None

ainit_document_table(table_name:str,schema_name:str="public",content_column:str="page_content",metadata_columns:list[langchain_google_cloud_sql_pg.engine.Column]=[],metadata_json_column:str="langchain_metadata",store_metadata:bool=True,)->None

ainit_vectorstore_table(table_name:str,vector_size:int,schema_name:str="public",content_column:str="content",embedding_column:str="embedding",metadata_columns:list[langchain_google_cloud_sql_pg.engine.Column]=[],metadata_json_column:str="langchain_metadata",id_column:typing.Union[str,langchain_google_cloud_sql_pg.engine.Column]="langchain_id",overwrite_existing:bool=False,store_metadata:bool=True,)->None

close()->None

from_engine(engine:sqlalchemy.ext.asyncio.engine.AsyncEngine,loop:typing.Optional[asyncio.events.AbstractEventLoop]=None,)->langchain_google_cloud_sql_pg.engine.PostgresEngine

from_engine_args(url:str|sqlalchemy.engine.url.URL,**kwargs:typing.Any)->langchain_google_cloud_sql_pg.engine.PostgresEngine

from_instance(project_id:str,region:str,instance:str,database:str,user:typing.Optional[str]=None,password:typing.Optional[str]=None,ip_type:typing.Union[str,google.cloud.sql.connector.enums.IPTypes]=IPTypes.PUBLIC,quota_project:typing.Optional[str]=None,iam_account_email:typing.Optional[str]=None,engine_args:typing.Mapping={},)->langchain_google_cloud_sql_pg.engine.PostgresEngine

init_chat_history_table(table_name:str,schema_name:str="public")->None

init_checkpoint_table(table_name:str="checkpoints",schema_name:str="public")->None

init_document_table(table_name:str,schema_name:str="public",content_column:str="page_content",metadata_columns:list[langchain_google_cloud_sql_pg.engine.Column]=[],metadata_json_column:str="langchain_metadata",store_metadata:bool=True,)->None

init_vectorstore_table(table_name:str,vector_size:int,schema_name:str="public",content_column:str="content",embedding_column:str="embedding",metadata_columns:list[langchain_google_cloud_sql_pg.engine.Column]=[],metadata_json_column:str="langchain_metadata",id_column:typing.Union[str,langchain_google_cloud_sql_pg.engine.Column]="langchain_id",overwrite_existing:bool=False,store_metadata:bool=True,)->None

index_options()->str

_generate_next_value_(start,count,last_values)

index_options()->str

to_string()

index_options()->str

to_string()

to_string()->str