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


Release history Release notifications | RSS feed

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-1.3.1.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-1.3.1-py3-none-any.whl (2.2 kB view details)

Uploaded Python 3

File details

Details for the file llm_to_toon-1.3.1.tar.gz.

File metadata

  • Download URL: llm_to_toon-1.3.1.tar.gz
  • Upload date:
  • Size: 2.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.5

File hashes

Hashes for llm_to_toon-1.3.1.tar.gz
Algorithm Hash digest
SHA256 2b26e25a6bb2c5526a86270b0d5cd98b2fb8b75c851b5db19b10a94ffc963490
MD5 9599f4adfed055123cc7826895072637
BLAKE2b-256 b15e95eb03aabfc81727d6e310ee25ad1edda5f0a224d2eb2562e8e6e4498c31

See more details on using hashes here.

File details

Details for the file llm_to_toon-1.3.1-py3-none-any.whl.

File metadata

  • Download URL: llm_to_toon-1.3.1-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/3.14.5

File hashes

Hashes for llm_to_toon-1.3.1-py3-none-any.whl
Algorithm Hash digest
SHA256 b0bf51abc15f782336f9806b6e50a284c8ec2f0a71fff3e99b696792fbd34be0
MD5 2b4ccbe202eb9525c49dde9bb29a85ef
BLAKE2b-256 d6b8f5be073b3f33686184bd5ec4e5c2b05249e2ded403c036359330317341be

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