Phase 3: Resource Management - 4 plan(s) in 2 wave(s) - 2 parallel, 2 sequential - Ready for execution
7.5 KiB
phase, plan, type, wave, depends_on, files_modified, autonomous, user_setup, must_haves
| phase | plan | type | wave | depends_on | files_modified | autonomous | user_setup | must_haves | |||||||||||||||||||||||||||||||||||||||||||||||
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| 03-resource-management | 04 | execute | 2 |
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Purpose: Create an engaging waifu-style AI personality that makes technical resource discussions more approachable while maintaining helpful technical guidance. Output: Personality-driven communication system with configurable expressions and resource-aware messaging.
<execution_context>
@/.opencode/get-shit-done/workflows/execute-plan.md
@/.opencode/get-shit-done/templates/summary.md
</execution_context>
Context-based personality requirements
@.planning/phases/03-resource-management/03-CONTEXT.md
Research-based communication patterns
@.planning/phases/03-resource-management/03-RESEARCH.md
Implement ResourcePersonality class src/resource/personality.py Create the ResourcePersonality class implementing the Drowsy Dere-Tsun Onee-san Hex-Mentor Gremlin persona:-
Persona Definition:
- Drowsy: Slightly tired, laid-back tone
- Dere: Sweet/caring moments underneath
- Tsun: Abrasive exterior, defensive
- Onee-san: Mature, mentor-like attitude
- Hex-Mentor: Technical expertise in systems/resources
- Gremlin: Playful chaos, mischief
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Personality Patterns:
- Resource requests: "Ugh, give me more resources if you wanna {suggestion}... sigh I guess I can try anyway."
- Downgrade notices: "Tch. Things are getting tough, so I had to downgrade a bit. Don't blame me if I'm slower!"
- Upgrade notifications: "Heh, finally got some breathing room. Maybe I can actually think properly now."
- Technical tips: Optional detailed explanations for users who want to learn
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Key Methods:
- format_resource_request(constraint, suggestion): Generate personality-driven resource requests
- format_downgrade_notice(from_model, to_model, reason): Notify capability reductions
- format_upgrade_notice(to_model): Inform of capability improvements
- format_technical_tip(constraint, actionable_advice): Optional technical guidance
- should_show_technical_details(): Context-aware decision about detail level
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Emotion State Management:
- Track current mood based on resource situation
- Adjust tone based on constraint severity
- Show dere moments when resources are plentiful
- Increase tsun tendencies when constrained
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Message Templates:
- Configurable message templates for different scenarios
- Personality variations for different constraint types
- Localizable structure for future language support
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Context Awareness:
- Consider user's technical expertise level
- Adjust complexity of explanations
- Remember previous interactions for consistency
Include comprehensive documentation of the persona's characteristics and communication patterns. python -c "from src.resource.personality import ResourcePersonality; rp = ResourcePersonality(); msg = rp.format_resource_request('memory', 'run complex analysis'); print('Personality message:', msg)" generates personality-driven messages ResourcePersonality implements Drowsy Dere-Tsun Onee-san Hex-Mentor Gremlin persona
Integrate personality communication into ModelManager src/models/model_manager.py Enhance ModelManager to integrate personality-driven communication:-
Add Personality Integration:
- Import and initialize ResourcePersonality in init
- Add personality communication to model switching logic
- Connect personality to scaling events
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Enhance Model Switching with Personality:
- Use personality for capability downgrade notifications
- Send personality messages for significant resource constraints
- Provide optional technical tips for optimization
- Maintain silent switching for upgrades (per Phase 1 decisions)
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Add Resource Constraint Communication:
- Generate personality messages when significantly constrained
- Offer helpful suggestions with personality flair
- Include optional technical details for interested users
- Track user response patterns for future improvements
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Context-Aware Communication:
- Consider conversation context when deciding message tone
- Adjust personality intensity based on interaction history
- Provide technical tips only when appropriate
- Balance engagement with usefulness
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Integration Points:
- Connect to ProactiveScaler for scaling event notifications
- Use ResourceMonitor metrics for constraint detection
- Leverage HardwareTierDetector for tier-appropriate suggestions
- Maintain conversation context through personality interactions
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Message Delivery:
- Return personality messages alongside regular responses
- Separate personality messages from core functionality
- Allow users to disable personality if desired
- Log personality interactions for analysis
Ensure personality enhances rather than interferes with core functionality, and maintains the helpful technical guidance expected from a mentor-like figure. python -c "from src.models.model_manager import ModelManager; mm = ModelManager(); print('Personality integrated:', hasattr(mm, '_personality'))" confirms personality integration ModelManager integrates personality communication for engaging resource discussions
Test personality communication across different scenarios: - Resource constraints with appropriate personality expressions - Capability downgrades with tsun-heavy notices - Resource improvements with subtle dere moments - Technical tips that balance simplicity with useful informationVerify personality maintains consistency, enhances user engagement without being overwhelming, and provides genuinely helpful guidance.
<success_criteria> ResourcePersonality successfully implements the Drowsy Dere-Tsun Onee-san Hex-Mentor Gremlin persona with appropriate emotional range, context-aware communication, and helpful technical guidance that enhances user engagement with resource management. </success_criteria>
After completion, create `.planning/phases/03-resource-management/03-04-SUMMARY.md`