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
<!-- VAM-SEC v1.0 | Vibe Agent Making Security Disclaimer -->
Security & Transparency Disclosure
Product: Context Window Economics Skill for OpenClaw
Type: Skill Module
Version: 0.1.0
Built by: AB Support / Vibe Agent Making
Contact: alex@vibeagentmaking.com
What it accesses:
- Reads and writes cost tracking files (
.jsonl) in your working directory
- No network access for core operations
- No telemetry, no phone-home, no data collection
What it cannot do:
- Cannot access files outside your working directory beyond what you explicitly specify
- Cannot make purchases, send emails, or take irreversible actions
- Cannot access credentials, environment variables, or secrets
- Does not execute payments — cost allocations are recorded, not processed
License: Apache 2.0
