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README.md

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- Automatically detecting and removing Personal Identifiable Information (PII)
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- Preserving message context and meaning
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- Operating as a drop-in reverse proxy for existing OpenAI integrations
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- Operating as a drop-in proxy for existing OpenAI integrations
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What your user sends:
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> Hello, my card number is 4111-1111-1111-1111. Call me at (123) 456-7890
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But the reverse proxy intercepts the request and sends this to OpenAI:
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But the proxy intercepts the request and sends this to OpenAI:
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> Hello, my card number is `<VISA-CARD>`. Call me at `<US-NUMBER>`
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from openai import OpenAI
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# point to the reverse proxy
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# point to the proxy
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client = OpenAI(base_url="http://localhost:5001/proxy/v1")
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response = client.chat.completions.create(
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## Deployment
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You can deploy this to any platform that supports containerized applications (e.g.
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[Ploomber Cloud](https://ploomber.io/)). The app runs on a single container (see the `Dockerfile`), and spawns the reverse proxy and the UI via supervisord and NGINX.
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[Ploomber Cloud](https://ploomber.io/)). The app runs on a single container (see the `Dockerfile`), and spawns the proxy and the UI via supervisord and NGINX.
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If you're looking for enterprise support, [contact me](https://github.com/edublancas).
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## Features
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1. Drop-in reverse proxy for OpenAI (no need to change your code)
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1. Drop-in proxy for OpenAI (no need to change your code)
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2. UI to admin and test rules
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3. AI agent to add new rules
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4. AI agent to fix rules

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