Skip to main content

av-safety-parser

PyPI version License: MIT Downloads LinkedIn

A lightweight Python package for extracting and structuring aviation safety information from unstructured text.
It parses texts such as FAA warnings and news articles to return key details (incident type, affected aircraft, safety risks, etc.) in a consistent format.

Features

  • Simple API that takes raw text and returns structured data.
  • Uses the default ChatLLM7 model from langchain_llm7 for inference.
  • Fully compatible with any LangChain LLM implementation (OpenAI, Anthropic, Google Gemini, etc.) by passing a custom instance.
  • Supports API-key configuration via environment variable or explicit parameter.

Installation

pip install av_safety_parser

Quick Example

from av_safety_parser import av_safety_parser

user_input = """
FAA publishes new warning on rotor blade vibrations in twin‑prop aircraft.
There were several incidents where the vibrations caused structural fatigue.
"""

# Using the default ChatLLM7
results = av_safety_parser(user_input)
print(results)

You can also pass a custom LLM instance:

# Example with OpenAI's ChatOpenAI
from langchain_openai import ChatOpenAI
from av_safety_parser import av_safety_parser

llm = ChatOpenAI()
results = av_safety_parser(user_input, llm=llm)
print(results)
# Example with Anthropic's ChatAnthropic
from langchain_anthropic import ChatAnthropic
from av_safety_parser import av_safety_parser

llm = ChatAnthropic()
results = av_safety_parser(user_input, llm=llm)
print(results)
# Example with Google Gemini
from langchain_google_genai import ChatGoogleGenerativeAI
from av_safety_parser import av_safety_parser

llm = ChatGoogleGenerativeAI()
results = av_safety_parser(user_input, llm=llm)
print(results)

Parameters

Parameter Type Description
user_input str Raw text to parse.
llm Optional[BaseChatModel] LangChain LLM instance. If omitted, ChatLLM7 will be used automatically.
api_key Optional[str] API key for LLM7. If not provided, the library will look for the LLM7_API_KEY environment variable.

Default Rate Limits
The free tier of LLM7 offers enough rate limits for most use cases. If you require higher limits, pass your own api_key either through av_safety_parser(user_input, api_key="your_key") or by setting LLM7_API_KEY in your environment.

Getting an LLM7 API Key

  1. Sign up at https://token.llm7.io/
  2. Retrieve your API token
  3. Set it as an environment variable:
    export LLM7_API_KEY="your_token_here"
    

Issue Tracker

If you encounter any problems or have feature requests, please open an issue at:
https://github.com/chigwell/av-safety-parser/issues

Author

Enjoy using av-safety-parser to keep aviation data clear and consistent!

Metadata

Release files for av-safety-parser 2025.12.21191556

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for av-safety-parser 2025.12.21191556
File Size Uploaded
av_safety_parser-2025.12.21191556.tar.gz 7.4 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for av-safety-parser 2025.12.21191556
File Interpreter ABI Platform
av_safety_parser-2025.12.21191556-py3-none-any.whl Python 3 none any Details

Total release size: 15.3 kB

Release files / av_safety_parser-2025.12.21191556.tar.gz

Download URL av_safety_parser-2025.12.21191556.tar.gz
Size 7.4 kB
Tags Source
SHA-256 checksum
How to use checksums
fa05fab4da9f68f06ef53e09986a0e07bc03af50c4492810cf222c54f5fd5e6d
BLAKE2b-256 checksum
How to use checksums
61c3a462e422fa3c4ebd2e6e0dfc2978b2595d81fda9553636bae9449f2aa335
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.1

Release files / av_safety_parser-2025.12.21191556-py3-none-any.whl

Download URL av_safety_parser-2025.12.21191556-py3-none-any.whl
Size 8.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ca6cee7d573800bf4a0b1bf4bc8ea05e166efab13c492132cb2c0200cf11132f
BLAKE2b-256 checksum
How to use checksums
32f724a2b4ccb1ecf8ad49539e284159c95bb0d87b6c2eb0291c18d84329f80e
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.2.0 CPython/3.12.1

Release history Release notifications | RSS feed

This release

2025.12.21191556 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page