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.dev20231012

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.dev20231012
File Size Uploaded
langfun-0.0.2.dev20231012.tar.gz 95.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for langfun 0.0.2.dev20231012
File Interpreter ABI Platform
langfun-0.0.2.dev20231012-py3-none-any.whl Python 3 none any Details

Total release size: 239.6 kB

Release files / langfun-0.0.2.dev20231012.tar.gz

Download URL langfun-0.0.2.dev20231012.tar.gz
Size 95.3 kB
Tags Source
SHA-256 checksum
How to use checksums
871e0583c4ee7db80e16cba453ea745d1c6a34a86e8f10283642dd8f0579be07
BLAKE2b-256 checksum
How to use checksums
95548fcf1d3121e66f18824a20ca59793e3f589537316c4451b2253ffc139fef
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.5

Release files / langfun-0.0.2.dev20231012-py3-none-any.whl

Download URL langfun-0.0.2.dev20231012-py3-none-any.whl
Size 144.3 kB
Tags Python 3
SHA-256 checksum
How to use checksums
196d3592956149d43d33b43085c01ed8985a49ef4901331e74fc83e0f549486c
BLAKE2b-256 checksum
How to use checksums
ef4b60b8e0a491224762a6e448fd363d7a4824ef3e547a2f9da562fa7b6ebb87
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.11.5

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