The project aims to create a system that generates genuine narratives within a text-based RPG game. The core idea is to move beyond simple random text generation and create narratives that feel more natural and engaging for the player.
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Implement Relationship Risk Factor and Escalation Mechanism #31
Create a new class, RelationshipRiskFactor, in core/risk_assessment/relationship_risk_factor.py (as outlined in the previous response).
Implement the logic for calculating the relationship risk factor in the calculate_risk method, considering various factors:
AI's purpose and capabilities.
User's profile and history.
Depth of knowledge about the user.
Nature of the interaction (content, emotional tone, duration, etc.).
Other relevant metrics (see the document for a more comprehensive list).
10.2. Implement Escalation Manager:
Create a new class, EscalationManager, in core/escalation_manager.py (as outlined in the previous response).
Implement the logic for escalating conversations in the escalate_conversation method, considering different escalation options:
Transfer to a human operator (if available).
Transfer to a specialized AI (if available).
Provide alternative resources or end the conversation gracefully (if no escalation options are available).
10.3. Integrate Risk Assessment and Escalation into NarrativeGenerator:
Modify NarrativeGenerator (core/narrative_generator.py) to:
Initialize RelationshipRiskFactor and EscalationManager instances.
Calculate the relationship risk factor before generating a narrative.
Trigger the escalation process if the risk factor exceeds a predefined threshold.
If no escalation is needed, proceed with normal narrative generation.
10.4. Update main.py:
Initialize the EscalationManager with the appropriate escalation options available.
Pass the EscalationManager instance to the NarrativeGenerator.
10.5. Implement Data Collection and Storage:
Determine how to collect, store, and access the necessary data (interaction data, conversation context) for risk calculation and escalation.
Consider using a database or in-memory storage for persisting conversation history.
10.6. Address Privacy Concerns:
Ensure users are informed about the potential for escalation and how their data is used for risk assessment.
Implement appropriate data anonymization or pseudonymization techniques to protect user privacy.
10.7. Write Unit Tests:
Create unit tests for RelationshipRiskFactor and EscalationManager in the tests directory to ensure the functionality and correctness of the risk assessment and escalation logic.
10.1. Implement Relationship Risk Factor Calculation:
10.2. Implement Escalation Manager:
10.3. Integrate Risk Assessment and Escalation into NarrativeGenerator:
10.4. Update main.py:
10.6. Address Privacy Concerns:
10.7. Write Unit Tests: