Prompt Sanitizer
PulseGate's liveness check found it on 13 Sep 2026; it is registered on GitHub and has been in the index since 29 Jun 2026. How this is checked
Prompt Sanitizer is a local-first sanitization library designed to prevent personally identifiable information (PII), API keys, and secrets from being exposed to large language model (LLM) providers. It operates entirely within the user's process, with no cloud calls, telemetry, or third-party APIs, ensuring that sensitive data remains private and never leaves the local environment. The library is available for Python, TypeScript, and Ruby, and can be installed via npm,…
Inferred · not functionally tested
Overview
6 featuresPurpose: Preventing accidental leakage of sensitive or private data when sending prompts to AI models by sanitizing inputs locally.
Inferred · not functionally tested
Audience: AI application developers
Inferred · not functionally tested
Functions: data_extraction
Inferred · not functionally tested
Interfaces: API: unknown · MCP: unknown · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: jeslor.com · github.com. These links do not verify the individual claims.
Prompt Sanitizer is an AI security & guardrails project. Inferred · not functionally tested: It focuses on preventing accidental leakage of sensitive or private data when sending prompts to AI models by sanitizing inputs locally. Inferred · not functionally tested: It is built as an open-source project for AI application developers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: Prompt Sanitizer is available on the command line, and it can be self-hosted.
It is developed by Jeslor Ssozi, and it first shipped in 2026. The project is developed in the open on GitHub with 85 commits in the last 90 days. Inferred · not functionally tested: Among its 6 catalogued features are PII detection, API key masking, and session vault.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- PII detection
- API key masking
- Session vault
- Regex scanning
- Local NER
- No network calls
Topics: Inferred · not functionally tested
Built with & integrations
- Next.js
- /_next/static/ in the HTML · __next_f in the HTML
- openai
- bgpt- in the HTML
- Vercel
- x-vercel-id header · x-vercel-cache header
- multiple
- bLangChain in the HTML · bvercel/ai in the HTML
Trust & compliance
Indexing history
What PulseGate has recorded for this listing
Frequently asked questions about Prompt Sanitizer
- What is Prompt Sanitizer?
- Inferred · not functionally tested: Prompt Sanitizer focuses on preventing accidental leakage of sensitive or private data when sending prompts to AI models by sanitizing inputs locally. It is catalogued under AI security & guardrails on PulseGate.
- Who is Prompt Sanitizer for?
- Inferred · not functionally tested: Prompt Sanitizer is an open-source project built for AI application developers.
- Is Prompt Sanitizer free?
- Basis unknown · not verified: Yes — Prompt Sanitizer is open source under the MIT license and free to use.
- What platforms does Prompt Sanitizer run on?
- Basis unknown · not verified: Prompt Sanitizer runs on the command line. It can also be self-hosted.
- Is Prompt Sanitizer still active?
- PulseGate's liveness check found it on 13 Sep 2026. Its GitHub repository shows 85 commits in the last 90 days.
- Who makes Prompt Sanitizer?
- Prompt Sanitizer is developed by Jeslor Ssozi.
- When did Prompt Sanitizer launch?
- Prompt Sanitizer first shipped in 2026.
- Is Prompt Sanitizer open source?
- Basis unknown · not verified: Yes — Prompt Sanitizer is open source under the MIT license, developed on GitHub.
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