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-0.0.32.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-0.0.32-py3-none-any.whl (2.2 kB view details)

Uploaded Python 3

File details

Details for the file llm_to_toon-0.0.32.tar.gz.

File metadata

  • Download URL: llm_to_toon-0.0.32.tar.gz
  • Upload date:
  • Size: 2.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.0

File hashes

Hashes for llm_to_toon-0.0.32.tar.gz
Algorithm Hash digest
SHA256 2374adf92262d2df1d89e2f0c67100725e93a439c16e60236e710fe96d441c46
MD5 cc629df9e783e10b6fc852e883a8fcb4
BLAKE2b-256 2c4d0939b005b7ddddf432095b60f6f04ecf4937c16f1c7ca4a0fac45d612fb7

See more details on using hashes here.

File details

Details for the file llm_to_toon-0.0.32-py3-none-any.whl.

File metadata

  • Download URL: llm_to_toon-0.0.32-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/3.14.0

File hashes

Hashes for llm_to_toon-0.0.32-py3-none-any.whl
Algorithm Hash digest
SHA256 4e8fabc9e82c7cc736b1ef51ac796a2b3e390e4e874998b266da67ded6257104
MD5 0c79bbe7ea6d704ab64490b21f60e680
BLAKE2b-256 22e0b594bddc3b292bb92e091b248eb8f6abe6e5cb62cdecdcbe99278a85d0cf

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