transword-matcher

A Python package that uses structured pattern matching to interpret user requests for language translation, extracting the source and target languages along with the text to translate. It returns a detailed, organized response including the translated text, original text, and detected source and target languages.

Installation

pip install transword_matcher

Usage

from transword_matcher import transword_matcher

# Example usage with default LLM (ChatLLM7)
response = transword_matcher(
    user_input="Translate 'hello' from English to Spanish"
)
print(response)

Using a Custom LLM

You can pass your own LangChain-compatible LLM instance:

from langchain_openai import ChatOpenAI
from transword_matcher import transword_matcher

llm = ChatOpenAI()
response = transword_matcher(
    user_input="Translate this text to French",
    llm=llm
)

from langchain_anthropic import ChatAnthropic
from transword_matcher import transword_matcher

llm = ChatAnthropic()
response = transword_matcher(
    user_input="How do you say 'thank you' in Japanese?",
    llm=llm
)

from langchain_google_genai import ChatGoogleGenerativeAI
from transword_matcher import transword_matcher

llm = ChatGoogleGenerativeAI()
response = transword_matcher(
    user_input="Translate from German to English: 'Guten Tag'",
    llm=llm
)

Using Custom API Key

from transword_matcher import transword_matcher

response = transword_matcher(
    user_input="Translate to Italian",
    api_key="your_llm7_api_key_here"
)

Parameters

• user_input (str): The user input text to process
• llm (Optional[BaseChatModel]): LangChain LLM instance (defaults to ChatLLM7)
• api_key (Optional[str]): API key for LLM7 service (if using default LLM)

Default LLM

The package uses ChatLLM7 from langchain_llm7 by default. The free tier rate limits are sufficient for most use cases.

To get a free API key for LLM7, register at: https://token.llm7.io/

Error Handling

The function raises a RuntimeError if the LLM call fails or pattern matching is unsuccessful.

Development

Issues and contributions welcome at: https://github.com/chigwell/transword-matcher

Author

Eugene Evstafev
hi@euegne.plus