I also came across this requirement and want to mention another alternative here:
Instead of sending an input text that matches the intent of your desired node, you can also pass
Intents to use when evaluating the user input.doc
and tell the assistant to match it with confidence of 1.0.
I think this is a clean method, because you don't need to deal with disambiguation of your input text.
Then you don't need to send input text at all and the intent actually does not even need example phrases :-)
For example if you want to trigger a node that has the intent #provide_feedback
you can call this python example code:
send_message_to_chatbot(text="", intent="provide_feedback")
def send_message_to_chatbot(text="", intent=""):
message = assistant.message(
assistant_id=ASSISTANT_ID,
session_id=SESSION_ID,
input=MessageInput(
text=text,
intents=[RuntimeIntent(intent=intent, confidence=1.0)]
)
).get_result()
return message
Prerequisite is of course that the node is in the root branch of your dialog so it can be triggered.