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aws-cost-management

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This package provides a Strands-native “cost guard” layer for AI agents, focused on controlling and attributing LLM and tool spend within Strands-based workflows. It enforces budgets and policies at run time while emitting persistent, OpenTelemetry-style metrics so teams can monitor and optimize cost across tenants, strands, and workflows.

  • Updated Dec 10, 2025
  • Python

Optimized Reddit-scale cloud spend by building a Unit Economics model. Managed a 48% spend increase while driving an 8.4% efficiency gain ($13.69 to $12.54 per 1k DAU). Developed a dual-axis dashboard and a Python automation script to monitor scaling margins and enforce budget guardrails.

  • Updated Feb 18, 2026
  • Python

Enterprise-grade FinOps framework for AWS & GCP. Automates Cost of Revenue (COR) forecasting, multi-cloud unit economics, and strategic variance analysis using Python and Prophet modeling.

  • Updated Feb 14, 2026
  • Python

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