text-parser-utils 2025.12.21085136

A new package is designed to simplify user interactions by accepting free-text prompts and providing structured, reliable responses. It leverages an underlying pattern-matching system to interpret use

Text Parser Utils

A Python package designed to simplify user interactions by accepting free-text prompts and providing structured, reliable responses. It leverages an underlying pattern-matching system to interpret user inputs and generate consistent outputs, enabling seamless information extraction or task execution without complex processing of media types.

Installation

pip install text_parser_utils

Usage

Basic Usage

from text_parser_utils import text_parser_utils

response = text_parser_utils(user_input="Your input text here")
print(response)

Advanced Usage with Custom LLM

You can use any LLM compatible with LangChain by passing your own LLM instance.

Using OpenAI

from langchain_openai import ChatOpenAI
from text_parser_utils import text_parser_utils

llm = ChatOpenAI()
response = text_parser_utils(user_input="Your input text here", llm=llm)
print(response)

Using Anthropic

from langchain_anthropic import ChatAnthropic
from text_parser_utils import text_parser_utils

llm = ChatAnthropic()
response = text_parser_utils(user_input="Your input text here", llm=llm)
print(response)

Using Google

from langchain_google_genai import ChatGoogleGenerativeAI
from text_parser_utils import text_parser_utils

llm = ChatGoogleGenerativeAI()
response = text_parser_utils(user_input="Your input text here", llm=llm)
print(response)

Using LLM7 API Key

By default, the package uses the ChatLLM7 from langchain_llm7. If you want to use your own API key, you can pass it directly or via an environment variable.

Passing API Key Directly

from text_parser_utils import text_parser_utils

response = text_parser_utils(user_input="Your input text here", api_key="your_api_key")
print(response)

Using Environment Variable

export LLM7_API_KEY="your_api_key"

from text_parser_utils import text_parser_utils

response = text_parser_utils(user_input="Your input text here")
print(response)

Parameters

• user_input (str): The user input text to process.
• llm (Optional[BaseChatModel]): The LangChain LLM instance to use. If not provided, the default ChatLLM7 will be used.
• api_key (Optional[str]): The API key for LLM7. If not provided, the environment variable LLM7_API_KEY will be used.

Rate Limits

The default rate limits for LLM7 free tier are sufficient for most use cases of this package. If you need higher rate limits, you can obtain a free API key by registering at LLM7.

Issues

If you encounter any issues, please report them on the GitHub issues page.

Author

• Eugene Evstafev
  • Email: [e-mail]
  • GitHub: chigwell