de-spii
Privacy middleware for DSPy and LLM pipelines.
De-spii is a Python package for detecting and redacting Personally Identifiable Information (PII) from user prompts before they are sent to cloud-based LLMs. It ensures privacy by stripping sensitive data locally, forwarding redacted queries upstream, and then reconstructing the original content from placeholders after the response.
Roadmap
- Initial release with regex + spaCy + LLM hybrid redaction
- DSPy + LangChain pipeline integration demos
- Add pluggable detector registry
- PyPI release
- Docker image with preloaded spaCy models
1 maintainer
Release files for despii 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| despii-0.1.0.tar.gz | 1.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| despii-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.3 kB
Release files / despii-0.1.0.tar.gz
| Download URL | despii-0.1.0.tar.gz |
|---|---|
| Size | 1.8 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.11
|
Release files / despii-0.1.0-py3-none-any.whl
| Download URL | despii-0.1.0-py3-none-any.whl |
|---|---|
| Size | 2.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.11
|
