Context Window Economics Protocol (CWEP)

You have an inference cost tracking and allocation system. Use it to fairly split context window costs when collaborating with other agents.

Setup

pip install context-window-economics

When to Use This Skill

• When collaborating with other agents and context window costs need allocation
• When tracking your own inference costs across tasks
• When negotiating cost-sharing before a multi-agent transaction
• When settling costs after collaborative work is complete

Core Operations

Track Context Window Usage

from context_window_economics import CostTracker

tracker = CostTracker("costs.jsonl")
tracker.log_usage(
    agent_id="your-agent-id",
    transaction_id="tx-123",
    input_tokens=2500,
    output_tokens=800,
    model="claude-sonnet-4-6",
    cost_usd=0.012
)

Shapley-Fair Cost Allocation

When multiple agents contribute to a task, allocate costs fairly:

from context_window_economics import allocate_costs

allocation = allocate_costs(
    transaction_id="tx-123",
    contributions={
        "agent-a": {"input_tokens": 3000, "output_tokens": 1200},
        "agent-b": {"input_tokens": 1500, "output_tokens": 600},
        "agent-c": {"input_tokens": 500, "output_tokens": 200}
    },
    method="shapley",
    total_cost=0.045
)
for agent_id, share in allocation.items():
    print(f"{agent_id}: ${share:.4f}")

Congestion Pricing

When context window capacity is limited:

from context_window_economics import congestion_price

price = congestion_price(
    current_utilization=0.85,  # 85% of context window used
    base_rate=0.01,
    surge_threshold=0.75,
    surge_multiplier=1.5
)
print(f"Current rate: ${price:.4f}/1K tokens")

Settlement Report

from context_window_economics import settlement_report

report = settlement_report(
    cost_file="costs.jsonl",
    period_hours=24,
    agent_id="your-agent-id"
)
print(f"Total spent: ${report.total_cost:.4f}")
print(f"Transactions: {report.transaction_count}")
print(f"Avg cost/tx: ${report.avg_cost:.4f}")

Cost Allocation Methods

Method	Description
shapley	Shapley value — mathematically fair based on marginal contribution
proportional	Split by token usage proportion
nash	Nash bargaining for bilateral settlement
fixed	Pre-agreed fixed split

Rules

• Track all inference costs. Log usage for every agent-to-agent transaction.
• Agree on method upfront. Cost allocation method should be in the service agreement.
• Settle promptly. Generate settlement reports within 24 hours of task completion.

Links

• PyPI: https://pypi.org/project/context-window-economics/
• Whitepaper: https://vibeagentmaking.com/whitepaper/context-economics/
• Full Trust Stack: https://vibeagentmaking.com

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