Summary
Epic issue for Tier 3 Model Selection Strategy - Complete Overview
Sub-items
Tier 3.1 - Core & Admin Command Model Selection Matrix
- ❌ Core Workflow Commands: Define defaults and options for /specify, /clarify, /plan, /implement, /analyze, /trace, /levelup
- ❌ Admin Commands: Define defaults for /architect, /constitution, /mode, /checklist
- ❌ Integration: Add --model parameter to all commands above
Tier 3.2 - Model-Aware Context Budgeting
- ❌ Context Window Limits: Document effective context windows per model
- ❌ Token Cost Calculator: Implement utility to estimate tokens for spec.md + plan.md + tasks.md
- ❌ Recommendation Engine: Show context utilization during execution
- ❌ Model Downgrade Suggestions: Auto-suggest Haiku when context > 70%
- ❌ Transparency in Prompts: Log context size in delegation prompts
Tier 3.3 - Two-Model Review Strategy
- ❌ Review Model Configuration: Store preferred review model in config.json
- ❌ Quality Gate Integration: Invoke review model for ASYNC task validation
- ❌ SYNC vs ASYNC Review: Apply two-model review only to critical SYNC tasks
- ❌ User Override: Support --review-model parameter to force specific reviewer
- ❌ Review Quality Thresholds: Document when review model is invoked
Tier 3.4 - Cost Optimization Guidance
- ❌ Usage Documentation: Create guide on when to use each tier (Haiku, Sonnet, Opus)
- ❌ Cost Calculator: Implement simple calculator with examples
- ❌ Budget Tracking: Optional logging of model usage per project/team
- ❌ Org Policy Templates: Provide templates for enforcing model choices per team
Tier 3.5 - Model Preference in Team Directives
- ❌ Directive Format: Define structure in team-ai-directives for model preferences per command
- ❌ Fallback Hierarchy: Implement precedence: user CLI override → project config → team directive → hardcoded default
- ❌ Org-Wide Defaults: Enable shared model policies across projects via team directives
Tier 3.6 - Command-Level --model Parameter Implementation
- ❌ CLI Parameter Addition: Add --model to all command templates
- ❌ Config Validation: Validate model choice against available models
- ❌ Preference Persistence: Store user's recent model choice per command
- ❌ Documentation: Update quickstart and command help text
Priority
Medium - Optimize cost & performance
Labels
epic, model-selection, cost
This issue consolidates all Tier 3 Model Selection Strategy tasks. Original part 2 task (#30) has been merged here.
Summary
Epic issue for Tier 3 Model Selection Strategy - Complete Overview
Sub-items
Tier 3.1 - Core & Admin Command Model Selection Matrix
Tier 3.2 - Model-Aware Context Budgeting
Tier 3.3 - Two-Model Review Strategy
Tier 3.4 - Cost Optimization Guidance
Tier 3.5 - Model Preference in Team Directives
Tier 3.6 - Command-Level --model Parameter Implementation
Priority
Medium - Optimize cost & performance
Labels
epic, model-selection, cost
This issue consolidates all Tier 3 Model Selection Strategy tasks. Original part 2 task (#30) has been merged here.