llm-jsonl-converter 2025.9.141156

A Python package for converting unstructured text into JSONL format using LLMs.

llm_jsonl_converter

This Python package provides functionality to convert unstructured text into JSONL (JSON Lines) format using a Large Language Model (LLM). It intelligently chunks text, prompts the LLM to generate JSON objects conforming to specified formats, and validates the output to produce a clean JSONL string.

Features

• LLM-Powered Conversion: Leverages LLMs to extract structured data from free-form text.
• JSONL Output: Generates data in the widely-used JSON Lines format.
• Configurable Formats: Supports defining and using custom JSONL schemas.
• Chunking Strategy: Divides large texts into manageable chunks for LLM processing.
• Validation: Ensures generated JSON lines conform to a specified regex pattern.
• Progress Indication: Uses tqdm for a visual progress bar during conversion.

Installation

To install llm_jsonl_converter, use pip:

pip install llm_jsonl_converter

Usage

The primary function is generate_jsonl_from_text. You need to provide the text to convert and the name of the target JSONL format.

from llm_jsonl_converter import generate_jsonl_from_text
from langchain_llm7 import ChatLLM7 # Or any other compatible BaseChatModel

# Initialize your LLM (replace with your actual LLM setup if needed)
# If llm is None, a default ChatLLM7 instance will be used.
llm_instance = ChatLLM7(
    model="gemini-2.5-flash-lite",
    base_url="https://api.llm7.io/v1"
)

# Example unstructured text
sample_text = """
John Doe is a software engineer based in New York. He works at Tech Innovations Inc.
His email is [e-mail] and his phone number is 123-456-7890.
He has over 5 years of experience in Python and JavaScript.
Jane Smith is a data scientist from San Francisco. She can be reached at [e-mail].
Her expertise lies in machine learning and statistical analysis.
"""

# Define the target format name (ensure this format is available via get_llm_jsonl_formats())
target_format = "OpenAI Prompt–Completion (SFT)"

try:
    jsonl_output = generate_jsonl_from_text(
        text=sample_text,
        target_format_name=target_format,
        llm=llm_instance,
        chunk_word_size=150, # Adjust chunk size as needed
        verbose=True # Set to True for detailed logs
    )
    print(jsonl_output)
except ValueError as e:
    print(f"Error: {e}")
except Exception as e:
    print(f"An unexpected error occurred: {e}")

Contributing

Contributions, issues, and feature requests are welcome! Feel free to check the issues page.

License

llm_jsonl_converter is licensed under the MIT License.

Author

Eugene Evstafev [e-mail] Repository: https://github.com/chigwell/llm_jsonl_converter