Tokenomics & Active Session Telemetry · Suite v1.2.x

Stop Bleeding Tokens.
Active Context Telemetry for Agents.

In Claude Code, Cursor, and Gemini, developers don't run out of tokens from typing—they burn their budgets from O(N²) session history re-feeding, zombie terminal logs, and unvetted repository ingestion. Take control with deterministic session surgery and real-time telemetry.

Root Cause Analysis

Where Your Token Budget Actually Dies

Nobody runs out of tokens typing a 20-word prompt. The cost explodes from the hidden transcript graveyard.

O(N²)

History Re-Feeding Avalanche

Every turn in Claude Code, Cursor, or Gemini re-submits the entire conversation transcript from turn 1. A 25-turn debugging session re-sends the same past stack traces and file dumps 25 times over, burning $0.20–$0.50 on every single prompt.

Impact: 70%+ of ongoing agent bills
ZOMBIE

Dead Tool & Terminal Bloat

A 4,000-token failed build output from 15 turns ago that was fixed an hour ago is still sitting frozen in your active transcript. You pay for that dead error message on every subsequent keystroke.

Impact: 40%–65% dead weight per turn
REPO

Blind Repository Ingestion

Developers ask an agent to "audit the codebase" without realizing that auto-generated schemas, massive lockfiles, or fixture mocks just dumped 150,000 tokens into the prompt, triggering lost-in-the-middle hallucination.

Impact: Immediate context saturation
Interactive Tokenomics Engine

Agent Junky Command Center

Real-Time Simulation & Local Tools
Live Agent Session Simulator

Simulating a 22-turn real Claude Code / Cursor session with accumulated terminal runs & file reads.

Turns in Session 22
Re-Sent Per Turn 78,420 tokens / prompt
Cost Per Turn $0.235 at $3.00/1M
Zombie Bloat 48,600 62.0% dead baggage
Session Transcript Segment (Turn 8 & 9 Tool Execution): UNPRUNED BLOAT
> Step 14 [TOOL_CALL: run_command("npm run build && npm test")]
[... 4,200 tokens of raw terminal stdout, webpack bundle stats, node warnings, and 300 lines of Jest test execution dumps ...]
> Step 15 [ASSISTANT]: "Build and tests passed. Now updating line 42 in UserService.ts..."
// This 4,200 token terminal output is re-sent on turns 16, 17, 18, 19, 20, 21, 22... costing $0.15 on every single subsequent prompt!
Engineering Blueprint

Deterministic Interventions

Built directly into the Agent Junky harness to keep coding agent sessions lean, fast, and deterministic.

01

Transcript Surgery & Zombie Pruning

Identifies superseded command outputs and dead stack traces older than 3 turns in active Claude Code and Cursor sessions. Replaces thousands of dead lines with concise 1-line tombstones, eliminating 40%–70% of re-sent context overhead without breaking thread memory.

Turns 85k token transcript into 28k tokens → saves $0.17 on every subsequent turn.
02

Deterministic State Handover (/handoff)

When a session has run for hours, summarizing it with an LLM often hallucinates or drops requirements. Agent Junky captures active git diffs, open goals, and architectural decisions into SESSION_STATE.md, resetting context from 80,000 tokens back to 2,500 tokens with 100% memory fidelity.

Instant 95% billing drop on long-running multi-day tasks.
03

Repository & Workspace Ingestion Auditor

Audits an entire workspace or subfolder before passing it to Claude or Gemini. Identifies the heaviest 10% of files (like auto-generated schemas or fixtures) that consume 60% of context, allowing selective AST skeletonization.

Ranks all workspace files by token weight with 1-click CLI & IDE commands.
Release v1.2.2 · VS Code · Cursor · Antigravity

Agent Junky Tokenomics Extension

The complete IDE suite: Active Session Telemetry, Zombie Bloat Pruner, Repo Token Auditor, AST Skeletonizer, and 1-Click MCP Setup.

VS Code & Antigravity IDE:
code --install-extension agentjunky-vscode-1.2.2.vsix
Cursor IDE:
cursor --install-extension agentjunky-vscode-1.2.2.vsix
Knowledge Base & FAQ

Frequently Asked Questions

Everything you need to know about O(N²) session re-feeding, transcript surgery, and repository tokenomics.

Q1: Why does token consumption accelerate during long sessions even with short prompts?

Coding agents (Claude Code, Cursor, Antigravity) are stateless. When you submit turn 20 asking "fix line 4" (a 4-word prompt), the agent does not send just your 4 words. It re-submits the entire cumulative history of turns 1 through 19—including every full-file read, terminal output, and reasoning trace. Your cost scales O(N²) with every subsequent turn, turning a $0.01 prompt into a $0.35 charge on every single keystroke.

Q2: What is "Zombie Bloat", and how does Transcript Surgery prune it without breaking memory?

Zombie Bloat refers to dead terminal outputs, huge compiler logs, and obsolete stack traces from 10 turns ago that were resolved hours ago but remain frozen in the message array.

Agent Junky's Transcript Surgery (sessionPruner.ts) scans the session file, preserves recent turns intact, and replaces older dead outputs with concise 1-line tombstones (e.g. [Output pruned: 4,200 tokens saved. Build passed. Exit code: 0]). An automated .bak backup is created first. The model retains full awareness of what happened, but you stop paying for thousands of lines of dead terminal output on every subsequent turn.

Q3: How is Deterministic State Handover (/handoff) different from native agent compaction?

Native compaction (e.g. in Claude Code) only triggers when context hits a hard ceiling (~90% of maximum tokens). By that point, you have already burned the vast majority of your token budget. Furthermore, auto-compaction relies on lossy LLM summarization, which often hallucinates or forgets critical constraints. In contrast, Agent Junky's State Handover captures your exact active git diffs, open tasks, and architectural decisions into SESSION_STATE.md, resetting context from 80k+ tokens back to ~2.5k tokens with 100% deterministic accuracy.

Q4: What is AST Skeletonization vs. Lossless Minification?

  • AST Skeletonization: Used for reference code. When an agent needs to know how your modules connect, it only needs classes, method signatures, argument types, and return annotations—not 500 lines of internal loop logic. Skeletonizing strips procedural bodies, reducing reference token size by 60%–85% while maintaining complete syntactic and type integrity.
  • Lossless Minification: Used for JSON/YAML configs, API schemas, and test fixtures. Eliminates formatting whitespace and indentation without altering a single data value, saving 25%–45% of static payload tokens.

Q5: How does the Repository Token Auditor help before starting a task?

Running Agent Junky: Audit Workspace Repository Tokens scans your project tree, skips non-code artifacts and lockfiles, and ranks the top culprit files by token weight. It reveals hidden monsters (like a 25,000-token mock database or a monolithic auto-generated client) before you dump them into an agent's context, preventing instant lost-in-the-middle degradation.

Q6: Which AI agents, tools, and IDEs are supported?

The Agent Junky suite supports Claude Desktop, Claude Code CLI, Cursor IDE, Google Antigravity IDE, and standard VS Code. Pricing matrices model Claude 3.7 Sonnet, Claude 3.5 Haiku, OpenAI GPT-4o, and Gemini 2.0 Flash.

Q7: How do I install the extension in Antigravity or Cursor?

In Antigravity IDE: Open the Extensions view (Ctrl+Shift+X), click the ... menu at top-right, choose "Install from VSIX...", and select agentjunky-vscode-1.2.2.vsix (or agentjunky-vscode-latest.vsix). In Cursor or VS Code: Run code --install-extension agentjunky-vscode-1.2.2.vsix from your terminal.

Newsletter Edition #1

Subscribe to The AgentJunky AI Brief

Get practical thinking on agentic AI, enterprise architecture, RAG, and production governance delivered straight to your LinkedIn feed.

Subscribe on LinkedIn ↗

Discuss an AI Opportunity

Need an architectural review, help transitioning an agent prototype to production, or designing governed tool gateways? Let's connect.