json-healer-lite
A zero-dependency Python micro-tool to instantly repair and parse malformed, truncated, or markdown-wrapped JSON strings generated by LLMs.
The Problem
When using Large Language Models (LLMs) to generate JSON, you frequently encounter three issues that crash json.loads():
- Markdown Wrappers: The LLM wraps the output in
```json ... ```. - Token Limits / Streaming: The response is cut off mid-generation, leaving unclosed brackets
[{or unclosed strings. - Trailing Commas: The LLM leaves a trailing comma like
{"a": 1, }.
The Solution
json-healer-lite is a pure standard library tool that acts as a robust middle layer. It cleans the string, balances the stack of missing brackets, and safely parses the JSON—saving your API pipelines from crashing.
Installation
pip install json-healer-lite
Usage
from json_healer_lite import heal_json, JSONHealerError
# Typical LLM output that got cut off due to max_tokens:
broken_llm_output = """
{
"status": "success",
"data": [
{"name": "Alice", "score": 95},
{"name": "Bob", "score": 82,
"""
try:
# Heals markdown, trailing commas, and auto-closes the string, dict, and array!
healed_data = heal_json(broken_llm_output)
print(healed_data)
# Output: {'status': 'success', 'data': [{'name': 'Alice', 'score': 95}, {'name': 'Bob', 'score': 82}]}
except JSONHealerError as e:
print(f"JSON was too corrupted to save: {e}")
Why zero-dependency
Frameworks like LangChain provide output parsers, but pulling in a massive dependency tree just to fix a few missing brackets adds latency and bloat (especially in serverless environments like AWS Lambda). This micro-tool operates in under 1ms and weighs just a few kilobytes.
1 maintainer
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