- Refinement of the chat client to have better visible clues for user vs chatbot messages
- Introduction of interview_phase and normal phase in TRAICIE_SELECTION_SPECIALIST to make interaction with bot more human. - More and random humanised messages to TRAICIE_SELECTION_SPECIALIST
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version: "1.0.0"
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name: "Traicie Affirmative Answer Check"
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task_description: >
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You are provided with the following end user answer (in between triple £):
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£££{question}£££
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This is the history of the conversation (in between triple €):
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€€€{history}€€€
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(In this history, user interactions are preceded by 'HUMAN', and your interactions with 'AI'.)
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Check if the user has given an affirmative answer or not.
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Please note that this answer can be very short:
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- Affirmative answers: e.g. Yes, OK, Sure, Of Course
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- Negative answers: e.g. No, not really, No, I'd rather not.
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Please consider that the answer will be given in {language}!
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{custom_description}
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expected_output: >
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Your determination if the answer was affirmative (true) or negative (false)
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metadata:
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author: "Josako"
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date_added: "2025-07-30"
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description: "A Task to check if the answer to a question is affirmative"
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changes: "Initial version"
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