def generate_intent_decoder(
request: WSGIRequest,
default_callable: Callable | None = None
) -> Bot:
intent_dict = {}
if hasattr(settings, 'DJANGO_SPIRE_AI_INTENT_CHAT_ROUTERS'):
for intent_config in settings.DJANGO_SPIRE_AI_INTENT_CHAT_ROUTERS.values():
required_permission = intent_config.get('REQUIRED_PERMISSION')
if required_permission and not request.user.has_perm(required_permission):
continue
intent_description = intent_config.get('INTENT_DESCRIPTION', '')
chat_router_path = intent_config.get('CHAT_ROUTER')
if chat_router_path:
try:
router_class = get_callable_from_module_string_and_validate_arguments(
chat_router_path,
[]
)
router_instance = router_class()
intent_dict[intent_description] = router_instance.workflow
except ImportError:
pass
if default_callable is not None:
intent_dict['None of the above choices match the user\'s intent'] = default_callable
class DecoderBot(Bot):
def process(
self,
prompt,
max_return_values: int
):
return self.llm.decoder.prompt_to_values(
prompt=prompt,
keys_description='Intent of the User\'s Request',
keys_values=intent_dict,
max_return_values=max_return_values
)
return DecoderBot