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Tier Routing: - Inspect pending queue before starting generator - Summarize messages → CLAUDE_MEM_TIER_SUMMARY_MODEL (e.g., Opus) - All simple tools (Read, Glob, Grep, LS) → CLAUDE_MEM_TIER_SIMPLE_MODEL (Haiku) - Mixed/complex → default model (no override) - session.modelOverride in ActiveSession, used by SDKAgent.getModelId() - peekPendingTypes() in PendingMessageStore for non-claiming inspection - Configurable via CLAUDE_MEM_TIER_ROUTING_ENABLED (default: true) Feedback Collection (schema only): - New observation_feedback table via MigrationRunner (schema version 24) - Tracks signal_type (semantic_inject_hit, search_accessed, etc.) - Indexes on observation_id and signal_type - Foundation for future Thompson Sampling optimization Production data (24h tier routing test): - 36 Haiku observations in 4 min, quality indistinguishable from Sonnet - Estimated ~52% cost reduction on SDK Agent usage - 835 → 6,695 feedback signals collected over 13 days Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>