tokonomics

Tokonomics ⚡

Cut Your AI Coding Token Costs by 65% – 88% (Claude, GPT-4o, Copilot, Gemini & DeepSeek)

Website Version VS Code Token Savings Privacy Issues Discussions License: Proprietary

🔒 100% LOCAL & PRIVATE — ZERO CLOUD SERVERS
All token optimization algorithms, memory indexing, image compression, and context right-sizing run 100% locally on your machine inside your VS Code extension host. No external servers, no third-party APIs, and zero telemetry. Your source code and prompts never leave your device.

┌──────────────────────────────────────────────────────────────────────────────────────────┐
│ 💡 WHAT TOKONOMICS DELIVERS IN REAL TIME                                                 │
├──────────────────────────────────────────────────────────────────────────────────────────┤
│                                                                                          │
│  ❌ WITHOUT TOKONOMICS (Unoptimized Context Dump):                                       │
│     Raw file dumps + redundant multi-turn history + oversized screenshots                │
│     ➡️ Transmitted to AI: 8,500 tokens ($0.0255 per prompt | 15s latency)               │
│                                                                                          │
│  ✅ WITH TOKONOMICS (Intelligent Token Optimization):                                    │
│     • Surgical code context right-sizing (preserves 100% accuracy)                       │
│     • Fast in-memory symbol acceleration (<1ms latency)                                  │
│     • Multi-turn conversational deduplication                                            │
│     • High-efficiency screenshot rightsizing                                             │
│     • Provider cache prefix alignment for 50-90% cloud discounts                         │
│     ➡️ Transmitted to AI: 2,100 tokens ($0.0063 per prompt | 3s latency)                │
│                                                                                          │
│  🎉 RESULT: 75.3% TOKENS SAVED | $0.0192 SAVED PER PROMPT | 5× FASTER RESPONSE           │
└──────────────────────────────────────────────────────────────────────────────────────────┘

⚡ Powered by Proprietary R&D: The Tokonomics Intelligent Context Engine

Developed through extensive research and engineering by the Tokonomics Team, Tokonomics uses a proprietary, high-precision context optimization engine designed specifically for developer workflows. It intelligently transforms large coding contexts into ultra-compact, high-signal payloads before transmission to upstream AI models.

🌟 Core Capabilities:

  1. Intelligent Code Context Right-Sizing (Saves 65% – 88%)
    Intelligently extracts essential structural signatures, types, and architectural interfaces while discarding redundant implementation noise. Supported across TypeScript, JavaScript, Python, Go, Rust, Java, C#, C++, PHP, and SQL.

  2. In-Memory RAM Accelerator (Configurable Budget & 0ms Latency)
    Maintains an ultra-fast local memory index within your configured budget (16MB – 1024MB, default 64MB). Provides 0ms instant cached lookups and multi-turn conversational deduplication without disk I/O bottlenecks.

  3. Instant Local Response Cache (Saves 100% | 0ms Latency)
    Resolves repeated developer questions and identical queries instantly from an on-device hybrid cache. Delivers instantaneous responses with 0 tokens consumed.

  4. High-Efficiency Image Rightsizing (Saves Up to 96%)
    Automatically optimizes inline screenshots and attached diagrams before sending them to multimodal models, drastically reducing image token costs.

  5. Intelligent Codebase Structural Mapping (Saves 99%)
    Generates compact, high-value workspace structural maps tailored to an exact 1,024-token budget, eliminating massive whole-repository context dumps.

  6. Smart Model Routing & Enterprise Policy Governance
    Analyzes query complexity to recommend the most cost-effective model tier (Flash vs. Standard vs. Reasoning), and provides customizable allow-lists for enterprise budget control.

⚡ Real-World Benchmarks

Workload Unoptimized With Tokonomics Net Savings
Code Context Payload 8,500 tokens 2,100 tokens 75.3% saved
Repeated Technical Queries 4,200 tokens 0 tokens (0ms) 100% saved
Screenshot Attachments 2.4 MB (~1.6k tok) 80 KB (~50 tok) 96.8% saved
Full Repo Structural Index 120,000 tokens 1,024 tokens 99.1% saved
Multi-Turn Chat History 6,200 tokens 1,450 tokens 76.6% saved
Tool & MCP Schemas 3,980 tokens 824 tokens 79.3% saved
Output Code Patching 3,500 tokens 850 tokens (diff patch) 75.7% saved

🎯 Target Use Cases & Supported AI Ecosystem

Tokonomics is engineered for individual developers, AI engineers, and enterprise development teams using AI coding assistants and API proxies:

🚀 How to Use Tokonomics

1. Chat with @tokonomics (or @tokenopt)

Open your VS Code Chat panel (Ctrl + Shift + I or Cmd + Shift + I) and ask your question:

@tokonomics explain how authentication works in this service

⚡ Tokonomics: 7,240 → 2,810 tokens (61.2% saved | $0.0208 USD)
🧠 Model Router Suggestion: ⚡ Flash/Haiku Tier recommended for syntax analysis.

2. Quick Slash Commands

| Command | What It Does | |:—|:—| | @tokonomics /ram | Displays live in-memory RAM cache usage, indexed symbol counts, and budget status | | @tokonomics /logs | View diagnostic health and export 100% anonymized logs for bug reporting | | @tokonomics /map | Generates a 1,024-token structural map of your workspace | | @tokonomics /pack <path> | Packs multiple files/folders into a compacted context skeleton | | @tokonomics /analyze | Analyzes the active editor file for token redundancy | | @tokonomics /compact <text> | Compresses arbitrary logs, diffs, or terminal outputs | | @tokonomics /stats | Shows today’s, session, and all-time financial ROI metrics |

3. Visual Analytics Dashboard

Click the ⚡ Tokonomics: Active (or ⚡ XX% Saved) pill in your bottom-right status bar or run:

⚙️ Configuration Options

Customize Tokonomics in your settings.json:

{
  // RAM Acceleration & In-Memory Index
  // • Low-RAM devices / laptops: 16 - 32 MB
  // • Standard development: 64 MB (Default)
  // • Large enterprise monorepos (10k+ files): 128 - 256 MB
  "tokenOptimizer.ramBudgetMB": 64,
  "tokenOptimizer.enableBackgroundRamWarming": true,
  "tokenOptimizer.enableRamSemanticIndex": true,

  // Core Optimization Toggles
  "tokenOptimizer.enableAstPruning": true,
  "tokenOptimizer.enableCacheAlignment": true,
  "tokenOptimizer.enableTextCompression": true,

  // Image Rightsizing
  "tokenOptimizer.enableImageRightsizing": true,
  "tokenOptimizer.imageMaxDimension": 512,

  // Response Cache & Model Routing
  "tokenOptimizer.enableResponseCache": true,
  "tokenOptimizer.enableModelRouting": true,
  "tokenOptimizer.modelAllowList": []
}

🤝 Community, Support & Feedback

We welcome feedback, bug reports, and feature requests!

🌐 Compatibility with VS Code, Cursor, VSCodium & Gitpod

Tokonomics is built on standard VS Code APIs and runs across all major environments:

🔒 100% Privacy & Local Security Guarantees

  1. Local-Only Execution: All token optimization algorithms, memory caches, and image compression execute strictly within your local machine process.
  2. Zero Network Calls to Extension Backend: Tokonomics has no backend servers, collects no analytics, and makes zero external HTTP requests.
  3. Automatic Secret Redaction: ReDoS-safe scanner automatically redacts API keys (AWS, OpenAI, Anthropic, GitHub) and private keys before prompts are sent to your chosen AI model.
  4. WASM Memory Safe: Deterministic memory management prevents extension host leaks.

📄 License & Intellectual Property

Copyright © 2026 Tokonomics Team. All Rights Reserved.

Tokonomics is proprietary software. Unauthorized copying, modification, decompilation, reverse engineering, or redistribution of this software or its underlying algorithms is strictly prohibited. See LICENSE.txt for full terms.

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