Agniscient
A secure wrapper for LLM interactions that provides:
- Automatic PII anonymization
- Encrypted storage of conversation history
- Safe handling of sensitive data
Installation
pip install agniscient
Usage
from agniscient import Config, SecureLLMClient
config = Config(
openai_key="your-openai-key",
our_key="your-encryption-key"
)
client = SecureLLMClient(config)
response = client.generate_response("Your prompt here")
1 maintainer
Metadata
1 maintainer
Release files for agniscient 0.1.1.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| agniscient-0.1.1.0.3.tar.gz | 3.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| agniscient-0.1.1.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 11.1 kB
Release files / agniscient-0.1.1.0.3.tar.gz
| Download URL | agniscient-0.1.1.0.3.tar.gz |
|---|---|
| Size | 3.9 kB |
| Tags | Source |
|
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/6.1.0 CPython/3.12.1
|
Release files / agniscient-0.1.1.0.3-py3-none-any.whl
| Download URL | agniscient-0.1.1.0.3-py3-none-any.whl |
|---|---|
| Size | 7.2 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/6.1.0 CPython/3.12.1
|
Security for agniscient 0.1.1.0.3
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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