psi-fusion-insights extracts structured data from PsiQuantum fusion tech texts, summarizing techniques, benefits, challenges, and uses.
Project description
Psi Fusion Insights
Psi Fusion Insights is a Python package designed to extract and structure key insights from technical descriptions about PsiQuantum's fusion-based quantum computation.
Overview
Users input text containing detailed explanations or summaries of PsiQuantum's quantum computing advancements, and the package processes this text to return a standardized, structured output. The structured response includes identified key components such as quantum fusion techniques, computational advantages, technical challenges, and potential applications.
Installation
To install Psi Fusion Insights, run the following command:
pip install psi_fusion_insights
Usage
To use the package, simply call the psi_fusion_insights function with the input text as a string:
from psi_fusion_insights import psi_fusion_insights
user_input = "Your technical description here"
response = psi_fusion_insights(user_input)
print(response)
Alternatively, you can specify a llm instance to use, if not provided, the default ChatLLM7 from langchain_llm7 will be used:
from langchain_llm7 import ChatLLM7
from psi_fusion_insights import psi_fusion_insights
llm = ChatLLM7()
response = psi_fusion_insights(user_input, llm=llm)
print(response)
If you want to use a different LLM, you can pass a langchain instance accordingly, for example:
from langchain_openai import ChatOpenAI
from psi_fusion_insights import psi_fusion_insights
llm = ChatOpenAI()
response = psi_fusion_insights(user_input, llm=llm)
Notes
- Psi Fusion Insights uses the
ChatLLM7fromlangchain_llm7by default. - If you want to use a different LLM, simply pass a
langchaininstance accordingly. - The default rate limits for LLM7 free tier are sufficient for most use cases of this package. If you want higher rate limits for LLM7, you can pass your own
api_keyvia environment variableLLM7_API_KEYor via passing it directly likepsi_fusion_insights(user_input, api_key="your_api_key"). You can get a free API key by registering at https://token.llm7.io/
Author
Eugene Evstafev hi@eugene.plus https://github.com/chigwell
Issues
For issues with the package, please submit a pull request or open an issue at: https://github.com/chigwell/psi-fusion-insights
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file psi_fusion_insights-2025.12.22075804.tar.gz.
File metadata
- Download URL: psi_fusion_insights-2025.12.22075804.tar.gz
- Upload date:
- Size: 5.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
eadb718d49abf227223d69574bd586808ab0e8ee4ba43e2b14e676d9d01be219
|
|
| MD5 |
cc75b3bed24519037d49aaee26e8ec3b
|
|
| BLAKE2b-256 |
1b6d47fbe466160b3dc0855fd51345ae5a521046e85c7e5bf55f5186c294abde
|
File details
Details for the file psi_fusion_insights-2025.12.22075804-py3-none-any.whl.
File metadata
- Download URL: psi_fusion_insights-2025.12.22075804-py3-none-any.whl
- Upload date:
- Size: 6.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.12.1
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
af158418c448fd42746030e931d3f945a9a3396e0afe6311c326dd255dca2edf
|
|
| MD5 |
df05e6dafd4bcb66b44741d1b64a6589
|
|
| BLAKE2b-256 |
da98441ba13bb314ac03320be37161f73acb1fe598a8ae6bb4901c9a2a194386
|