Release Structurer
A Python package designed to process and structure text inputs related to software development and release notes. The package leverages llmatch-messages to ensure that the input text is parsed and formatted consistently.
Installation
pip install release-structurer
Usage
Basic Usage
from release_structurer import release_structurer
user_input = "GDB 17.1 Released with shadow and guard stack support"
response = release_structurer(user_input)
print(response)
Using a Custom LLM
By default, the package uses ChatLLM7 from langchain_llm7. However, you can pass your own LLM instance if you want to use another LLM.
Example with OpenAI
from langchain_openai import ChatOpenAI
from release_structurer import release_structurer
llm = ChatOpenAI()
response = release_structurer(user_input, llm=llm)
print(response)
Example with Anthropic
from langchain_anthropic import ChatAnthropic
from release_structurer import release_structurer
llm = ChatAnthropic()
response = release_structurer(user_input, llm=llm)
print(response)
Example with Google
from langchain_google_genai import ChatGoogleGenerativeAI
from release_structurer import release_structurer
llm = ChatGoogleGenerativeAI()
response = release_structurer(user_input, llm=llm)
print(response)
Using a Custom API Key
The default rate limits for LLM7 free tier are sufficient for most use cases of this package. If you want higher rate limits, you can pass your own API key via the api_key parameter or set the LLM7_API_KEY environment variable.
Example with API Key
from release_structurer import release_structurer
user_input = "GDB 17.1 Released with shadow and guard stack support"
response = release_structurer(user_input, api_key="your_api_key")
print(response)
You can get a free API key by registering at LLM7.
Parameters
user_input(str): The user input text to process.llm(Optional[BaseChatModel]): The LangChain LLM instance to use. If not provided, the defaultChatLLM7will be used.api_key(Optional[str]): The API key for LLM7. If not provided, the package will use theLLM7_API_KEYenvironment variable or default toNone.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Author
- Eugene Evstafev - chigwell - hi@eugene.plus
Issues
If you encounter any issues, please report them on the GitHub issues page.
Metadata
Release files for release-structurer 2025.12.20175834
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| release_structurer-2025.12.20175834.tar.gz | 4.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| release_structurer-2025.12.20175834-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.3 kB
Release files / release_structurer-2025.12.20175834.tar.gz
| Download URL | release_structurer-2025.12.20175834.tar.gz |
|---|---|
| Size | 4.8 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/6.2.0 CPython/3.11.11
|
Release files / release_structurer-2025.12.20175834-py3-none-any.whl
| Download URL | release_structurer-2025.12.20175834-py3-none-any.whl |
|---|---|
| Size | 5.5 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/3.11.11
|