Nyx Extras SDK
🌟 Nyx Extras SDK provides a powerful toolkit for building generative AI applications using data brokered on the Nyx platform.
It enables decentralized data transfer, offering additional context (via a RAG setup) to language models within the trusted IOTICS network.
🚧 Status
The Nyx ecosystem is at an early stage of its development, please give us feedback through the Github issues.
🔥 Quick Start
Installation
The Nyx Extras SDK is available on PyPI and can be installed via pip running the following command.
pip install nyx-extras[langchain-openai]
this installs langchain, and openai client (You can always bring your own LLM provider, any of the LangChain chat models can be installed and passed in!
First time set up
3 maintainers
Metadata
3 maintainers
Release files for nyx-extras 0.2.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| nyx_extras-0.2.5.tar.gz | 11.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nyx_extras-0.2.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 23.0 kB
Release files / nyx_extras-0.2.5.tar.gz
| Download URL | nyx_extras-0.2.5.tar.gz |
|---|---|
| Size | 11.1 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 | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
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Provenance
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Signed by GitHub Actions, verified by PyPI on Dec 5, 2024.
Transparency logRelease files / nyx_extras-0.2.5-py3-none-any.whl
| Download URL | nyx_extras-0.2.5-py3-none-any.whl |
|---|---|
| Size | 11.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
8ff2c3db1d4a3f1d994cf58968e8d10faae43ae05a046dca823bf035df580570
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Dec 5, 2024.
Transparency log
