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Send a prompt to GPT, Claude or Gemini and the provider sees everything in it, including your users' personal data. piighost swaps that data for placeholders like <> before the model sees it, then restores the real values in the reply. Your tools still receive the real values. Works on text, conversations and agents, with LangChain, Pydantic AI and LlamaIndex connectors and an OpenAI-compatible proxy. MIT, open source.
Hi all. I built piighost because the moment you send a prompt to a hosted LLM (GPT, Claude, Gemini), the provider receives everything in it, including your users' personal data.
piighost replaces that data with placeholders before the model sees it, and restores the real values in the reply. For example this message:
"Write to John ([email protected]) that Patrick agreed to hire him."
becomes this for the model (transparent for the user):
"Write to <> (<>) that <> agreed to hire him."
The same value keeps the same placeholder across a conversation, and when a tool needs the real address, piighost hands it the real value while the model still only sees the placeholder.
It started as a LangChain middleware, then grew into a small pipeline you can reuse anywhere: connectors for LangChain, Pydantic AI and LlamaIndex, and a dockerized OpenAI-compatible proxy where you just change the base url. Detectors are pluggable (regex, GLiNER2, spaCy, Transformers, Presidio, LLM).
Note: I use the term “anonymization,” but strictly speaking, under the GDPR, we’re actually talking about de-identification.
- Repo: https://github.com/Athroniaeth/p...
- Docs: https://athroniaeth.github.io/pi...
- Live demo: https://piighost-chat.athroniaet...
Don't hesitate to star project, happy to answer any questions.
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About PIIGhost on Product Hunt
“Keep personal data out of your LLM prompts”
PIIGhost was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #5 on the daily leaderboard. Send a prompt to GPT, Claude or Gemini and the provider sees everything in it, including your users' personal data. piighost swaps that data for placeholders like <> before the model sees it, then restores the real values in the reply. Your tools still receive the real values. Works on text, conversations and agents, with LangChain, Pydantic AI and LlamaIndex connectors and an OpenAI-compatible proxy. MIT, open source.
PIIGhost was featured in Privacy (11.3k followers), Developer Tools (518.5k followers), Artificial Intelligence (477.4k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 236.4k products, making this a competitive space to launch in.
Who hunted PIIGhost?
PIIGhost was hunted by Athroniaeth. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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