Mentor.md

Mentor

Properties

Name	Type	Description	Notes
name	str
unique_id	str		[optional]
flow	object	The langflow json for the mentor
slug	str
platform	str		[optional]
allow_anonymous	bool		[optional]
metadata	object		[optional]
enable_moderation	bool		[optional]
is_proactive	bool	If true, the mentor will be prompted to start a conversation with a user.	[optional]
proactive_prompt	str	Prompt to start a conversation with a user. This prompt will be fed to the mentor as soon as the user enters the chatroom. This is used if is_proactive is true.	[optional]
moderation_system_prompt	str	The prompt for the moderation system. This prompt must clearly distinguish between 'Approapriate' and 'Not Appropriate' queries.	[optional]
moderation_response	str	Desired feedback to return to the user when their prompt is deemed inappropriate.	[optional]
safety_system_prompt	str	Prompt to check whether the models response is appropriate or not.	[optional]
safety_response	str	Feedback given to the user when a model generates an inappropriate response	[optional]
enable_safety_system	bool		[optional]
proactive_message	str	Prompt to start a conversation with a user.	[optional]
created_by	str		[optional]
created_at	datetime		[readonly]
updated_at	datetime		[readonly]

Example

from iblai.models.mentor import Mentor

# TODO update the JSON string below
json = "{}"
# create an instance of Mentor from a JSON string
mentor_instance = Mentor.from_json(json)
# print the JSON string representation of the object
print(Mentor.to_json())

# convert the object into a dict
mentor_dict = mentor_instance.to_dict()
# create an instance of Mentor from a dict
mentor_from_dict = Mentor.from_dict(mentor_dict)

[Back to Model list] [Back to API list] [Back to README]