🔐 Sanitize a CSV of Customer Feedback with the ZeroGPU Router Plugin
This notebook demonstrates how to use the zerogpu-router plugin so that Claude Code can scrub personal data out of a raw CSV export, all from a single natural-language prompt. You hand Claude a feedback_export.csv whose free-text column is full of customer names, emails, and phone numbers, and you get back two files: a clean copy that is safe to share, and a PII audit log of exactly what was removed and where. By combining Claude Code's plugin system and ZeroGPU's PII-aware nano models, this notebook walks you through a practical pattern where Claude orchestrates the file work while ZeroGPU does the high-volume, well-defined redaction, so raw PII never has to live in your transcript.
For the full reference, see the Claude Code plugin integration guide.
In this notebook, you'll explore:
- Claude Code: Anthropic's agentic coding tool that runs Claude directly in your terminal, with file editing, command execution, and a plugin system that extends sessions with custom slash commands and skills. Here it reads the CSV, loops over every row, and assembles the output files while routing the redaction work to ZeroGPU.
- ZeroGPU: An ultra-fast, compute-efficient inference provider for apps and agents. We run purpose-built small and nano language models across an edge-powered network for the high-volume, purpose-specific tasks your app or agent runs constantly. Plug in our OpenAI-compatible API and you're live - zero GPU infrastructure, serverless, auto-scaling by default.
This setup not only demonstrates a practical application of PII redaction at scale, but also provides a flexible framework that can be adapted to other real-world scenarios requiring consistent, auditable handling of sensitive free-text data.