Skip to main content

Tiny wrapper exposing Prompture helpers to convert LLM output into TOON.

Project description

llm-to-toon

Tiny wrapper around prompture that returns TOON (Token-Oriented Object Notation) instead of JSON. Under the hood it uses prompture.extract_and_jsonify(..., output_format="toon") and converts the result into the ultra-compact TOON text automatically.

Install:

pip install llm-to-toon

Usage:

from llm_to_toon import from_llm_text

schema = {"name": "string", "age": "int"}
toon_text = from_llm_text("Name: Juan Age: 30", schema)
print(toon_text)

By default the helper spins up the local Ollama driver (gemma:latest). Pass your own Prompture driver if you want to call OpenAI, Azure, Groq, etc. For the full Prompture feature-set see the main project: https://github.com/jhd3197/prompture

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

llm_to_toon-1.0.29.tar.gz (2.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

llm_to_toon-1.0.29-py3-none-any.whl (2.2 kB view details)

Uploaded Python 3

File details

Details for the file llm_to_toon-1.0.29.tar.gz.

File metadata

  • Download URL: llm_to_toon-1.0.29.tar.gz
  • Upload date:
  • Size: 2.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.3

File hashes

Hashes for llm_to_toon-1.0.29.tar.gz
Algorithm Hash digest
SHA256 b711e7c6f7ea1a478da8b718e4d0d19f33a2b59d1c381cef2774cb37b79e9c95
MD5 ade9b745ce261d624f526b44253830ac
BLAKE2b-256 f148c7b661c3000df6adad4842a5da94841f9fca95281ea1d813e51e9f92dad4

See more details on using hashes here.

File details

Details for the file llm_to_toon-1.0.29-py3-none-any.whl.

File metadata

  • Download URL: llm_to_toon-1.0.29-py3-none-any.whl
  • Upload date:
  • Size: 2.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.3

File hashes

Hashes for llm_to_toon-1.0.29-py3-none-any.whl
Algorithm Hash digest
SHA256 680475887489470b12201043704b3400cdefc019daed7f6907ae1ca70d810039
MD5 e52c74e27399c37aa7d8e97eabc83391
BLAKE2b-256 d9b3d54611366d487b201190306465c4b565298ebcb593acc3520d8544e71ee0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page