Initialize the adapter with a ChatableIO object.
| PARAMETER | DESCRIPTION |
ui | The ChatableIO object to adapt TYPE: ChatableIO |
Source code in fastagency/runtimes/autogen/autogen.py
| def __init__(self, ui: UI) -> None:
"""Initialize the adapter with a ChatableIO object.
Args:
ui (ChatableIO): The ChatableIO object to adapt
"""
self.ui = ui
self.current_message = CurrentMessage(ui._workflow_uuid)
self.messages: list[IOMessage] = []
|
instance-attribute
instance-attribute
input(prompt: str = '', *, password: bool = False) -> str
Source code in fastagency/runtimes/autogen/autogen.py
| def input(self, prompt: str = "", *, password: bool = False) -> str:
# logger.info(f"input(): {prompt=}, {password=}")
message: AskingMessage = self.current_message.process_input(
prompt, password, self.messages
)
retval: str = self.ui.process_message(message) # type: ignore[assignment]
# in case of approving a suggested function call, we need to return an empty string to AutoGen
if (
message.type == "multiple_choice"
and self.messages[-1].type == "suggested_function_call"
and retval == "Approve"
):
retval = ""
if retval == "Exit":
retval = "exit"
# logger.info(f"input(): {retval=}")
return retval
|
print(
*objects: Any,
sep: str = " ",
end: str = "\n",
flush: bool = False
) -> None
Source code in fastagency/runtimes/autogen/autogen.py
| def print(
self, *objects: Any, sep: str = " ", end: str = "\n", flush: bool = False
) -> None:
# logger.info(f"print(): {objects=}, {sep=}, {end=}, {flush=}")
body = sep.join(map(str, objects)) + end
num_to_send = self._process_message_chunk(body)
for i in range(-num_to_send, 0, 1):
message = self.messages[i]
self.ui.process_message(message)
|