Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

logo

Langfun

PyPI version codecov pytest

Installation | Getting started

What is Langfun

Langfun is a Python library that aims to make language models (LM) fun to work with. Its design enables a programming model that flows naturally, resembling the human thought process. It emphasizes the reuse and combination of language pieces to form prompts, thereby accelerating innovation. In contrast to other LM frameworks, which feed program-generated data into the LM, langfun takes a distinct approach: It starts with natural language, allowing for seamless interactions between language and program logic, and concludes with natural language and optional structured output. Consequently, langfun can aptly be described as Language as functions, capturing the core of its methodology.

Install

pip install langfun

Or install nightly build with:

pip install langfun --pre

Hello World

import langfun as lf

class NumericAnswerExtractor(lf.LangFunc):
  """Numeric answer extractor.

  Here is my question:
  {{question}}

  Here is the response:
  {{question()}}

  Can you help me extract a number from the response as the answer to my
  question? Your response should only contain a number in numeric form.
  If the answer is not a number or you cannot extract it, respond with UNKNOWN.
  """
  output_transform = lf.transforms.Match('\d+').to_int()

l = NumericAnswerExtractor()

with lf.context(lm=lf.llms.Gpt35(debug=True)):
  r = l(question=lf.LangFunc('What is result of {{x}} plus {{y}}?'),
        x='one',
        y='two')
  print('Result:', r.result)

Disclaimer: this is not an officially supported Google product.

Metadata

Release files for langfun 0.0.2.dev20240414

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

Source distribution (sdist)

Source distribution for langfun 0.0.2.dev20240414
File Size Uploaded
langfun-0.0.2.dev20240414.tar.gz 138.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for langfun 0.0.2.dev20240414
File Interpreter ABI Platform
langfun-0.0.2.dev20240414-py3-none-any.whl Python 3 none any Details

Total release size: 350.7 kB

Release files / langfun-0.0.2.dev20240414.tar.gz

Download URL langfun-0.0.2.dev20240414.tar.gz
Size 138.9 kB
Tags Source
SHA-256 checksum
How to use checksums
419e68bb05a6b878caff67c7ea65a4e4f376b70886e73f8d07ddc83c3fc3d75a
BLAKE2b-256 checksum
How to use checksums
c82e2e6502a7d8fe952bddff63cea89acf75fe984c1a5d172a55c9b0b86f86d8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.12.2

Release files / langfun-0.0.2.dev20240414-py3-none-any.whl

Download URL langfun-0.0.2.dev20240414-py3-none-any.whl
Size 211.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
2c2c782b32f06f057e4167df078410cb6bab041a9f1fb106dd698e3dcba0acdb
BLAKE2b-256 checksum
How to use checksums
97758b84c913698027e5910e11167e5fb9e0bad7dbf2aea6c9819d792c029a7a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.12.2

Release history Release notifications | RSS feed

0.1.1

2 release files

0.1.0

2 release files

This release

0.0.1

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