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feat(tui): Compact Mode Phase 3 - Intelligence Layer #6555

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opened 2026-02-16 18:04:35 -05:00 by yindo · 1 comment
yindo commented 2026-02-16 18:04:35 -05:00
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Originally created by @apto-as on GitHub (Jan 16, 2026).

Originally assigned to: @thdxr on GitHub.

Summary

Implement Phase 3 of Compact Mode: Intelligent, context-aware compression with analytics.

Background

Phase 1-2 provide manual/threshold-based compression. Phase 3 adds intelligence for optimal compression.

Phase 3 Scope (4 weeks)

Intelligence Features

Feature Description Benefit
Context-Aware Selection Auto-detect task type, adjust compression Optimal quality/efficiency
Agent-Specific Dictionaries TMWS agent shorthand (T:A = Task: Artemis) 15-25% additional
Differential Encoding Only transmit changes from known state Variable
Tokenizer-Aware Formatting Align text with token boundaries Minor optimization

Task-Specific Compression Rules

Task Type Compression Sensitivity Recommended Ratio
Summarization Low Up to 10x
Conversation Low-Medium 5x
Code Generation Medium-High 2x-3x
Mathematical Reasoning Medium 3x-5x
Multi-hop QA Very High ≤2x

Deliverables

  • Task type detection heuristics
  • Adaptive compression ratio selection
  • Agent-specific shorthand dictionary system
  • TMWS Memory integration for differential encoding
  • Compression analytics dashboard
  • ROI metrics (tokens saved, cost reduction)
  • A/B testing framework for quality validation

Analytics Dashboard

┌─────────────────────────────────────────┐
│ Compact Mode Analytics                  │
├─────────────────────────────────────────┤
│ Session Tokens:     12,450 → 4,150     │
│ Compression Ratio:  3.0x               │
│ Estimated Savings:  $0.25              │
│ Quality Score:      97.2%              │
└─────────────────────────────────────────┘

Technical Notes

  • LLM Understanding Impact: Adaptive (task-dependent)
  • Vendor Agnostic: ✅ All techniques universal
  • TMWS Integration: Uses Memory for dictionary/pattern storage

Files to Create/Modify

  • packages/opencode/src/session/compression-intelligence.ts
  • packages/opencode/src/session/task-detector.ts
  • packages/opencode/src/cli/cmd/tui/components/analytics.tsx
  • TMWS: Shorthand dictionary storage

Dependencies

Success Criteria

  • 75-90% token reduction achieved
  • Task detection accuracy >80%
  • Analytics dashboard functional
  • No quality regression on sensitive tasks

ROI Projections (100K tokens/day baseline)

Phase Reduction Monthly Savings
Phase 1 25-35% $13-19
Phase 2 60-75% $32-41
Phase 3 75-90% $41-49

Generated by Trinitas Full Mode Analysis

Originally created by @apto-as on GitHub (Jan 16, 2026). Originally assigned to: @thdxr on GitHub. ## Summary Implement Phase 3 of Compact Mode: Intelligent, context-aware compression with analytics. ## Background Phase 1-2 provide manual/threshold-based compression. Phase 3 adds intelligence for optimal compression. ## Phase 3 Scope (4 weeks) ### Intelligence Features | Feature | Description | Benefit | |---------|-------------|---------| | **Context-Aware Selection** | Auto-detect task type, adjust compression | Optimal quality/efficiency | | **Agent-Specific Dictionaries** | TMWS agent shorthand (`T:A` = Task: Artemis) | 15-25% additional | | **Differential Encoding** | Only transmit changes from known state | Variable | | **Tokenizer-Aware Formatting** | Align text with token boundaries | Minor optimization | ### Task-Specific Compression Rules | Task Type | Compression Sensitivity | Recommended Ratio | |-----------|------------------------|-------------------| | Summarization | Low | Up to 10x | | Conversation | Low-Medium | 5x | | Code Generation | Medium-High | 2x-3x | | Mathematical Reasoning | Medium | 3x-5x | | Multi-hop QA | **Very High** | ≤2x | ### Deliverables - [ ] Task type detection heuristics - [ ] Adaptive compression ratio selection - [ ] Agent-specific shorthand dictionary system - [ ] TMWS Memory integration for differential encoding - [ ] Compression analytics dashboard - [ ] ROI metrics (tokens saved, cost reduction) - [ ] A/B testing framework for quality validation ### Analytics Dashboard ``` ┌─────────────────────────────────────────┐ │ Compact Mode Analytics │ ├─────────────────────────────────────────┤ │ Session Tokens: 12,450 → 4,150 │ │ Compression Ratio: 3.0x │ │ Estimated Savings: $0.25 │ │ Quality Score: 97.2% │ └─────────────────────────────────────────┘ ``` ### Technical Notes - **LLM Understanding Impact**: Adaptive (task-dependent) - **Vendor Agnostic**: ✅ All techniques universal - **TMWS Integration**: Uses Memory for dictionary/pattern storage ### Files to Create/Modify - `packages/opencode/src/session/compression-intelligence.ts` - `packages/opencode/src/session/task-detector.ts` - `packages/opencode/src/cli/cmd/tui/components/analytics.tsx` - TMWS: Shorthand dictionary storage ## Dependencies - Requires: #9017 (Phase 1), #9018 (Phase 2) ## Success Criteria - [ ] 75-90% token reduction achieved - [ ] Task detection accuracy >80% - [ ] Analytics dashboard functional - [ ] No quality regression on sensitive tasks ## ROI Projections (100K tokens/day baseline) | Phase | Reduction | Monthly Savings | |-------|-----------|-----------------| | Phase 1 | 25-35% | $13-19 | | Phase 2 | 60-75% | $32-41 | | **Phase 3** | **75-90%** | **$41-49** | --- *Generated by Trinitas Full Mode Analysis*
yindo added the opentuiperf labels 2026-02-16 18:04:35 -05:00
yindo closed this issue 2026-02-16 18:04:35 -05:00
yindo commented 2026-02-16 18:04:35 -05:00
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@rekram1-node commented on GitHub (Jan 16, 2026):

closing - spam

@rekram1-node commented on GitHub (Jan 16, 2026): closing - spam
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Reference: anomalyco/opencode#6555
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