class OpenAIQuestionGenerator(BaseQuestionGenerator):
def __init__(
self,
program: OpenAIPydanticProgram,
verbose: bool = False,
) -> None:
self._program = program
self._verbose = verbose
@classmethod
def from_defaults(
cls,
prompt_template_str: str = DEFAULT_OPENAI_SUB_QUESTION_PROMPT_TMPL,
llm: Optional[LLM] = None,
verbose: bool = False,
) -> "OpenAIQuestionGenerator":
llm = llm or Settings.llm
program = OpenAIPydanticProgram.from_defaults(
output_cls=SubQuestionList,
llm=llm,
prompt_template_str=prompt_template_str,
verbose=verbose,
)
return cls(program, verbose)
def _get_prompts(self) -> PromptDictType:
"""Get prompts."""
return {"question_gen_prompt": self._program.prompt}
def _update_prompts(self, prompts: PromptDictType) -> None:
"""Update prompts."""
if "question_gen_prompt" in prompts:
self._program.prompt = prompts["question_gen_prompt"]
def generate(
self, tools: Sequence[ToolMetadata], query: QueryBundle
) -> List[SubQuestion]:
tools_str = build_tools_text(tools)
query_str = query.query_str
question_list = cast(
SubQuestionList, self._program(query_str=query_str, tools_str=tools_str)
)
return question_list.items
async def agenerate(
self, tools: Sequence[ToolMetadata], query: QueryBundle
) -> List[SubQuestion]:
tools_str = build_tools_text(tools)
query_str = query.query_str
question_list = cast(
SubQuestionList,
await self._program.acall(query_str=query_str, tools_str=tools_str),
)
assert isinstance(question_list, SubQuestionList)
return question_list.items
