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.dev20230919

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.dev20230919
File Size Uploaded
langfun-0.0.2.dev20230919.tar.gz 81.3 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for langfun 0.0.2.dev20230919
File Interpreter ABI Platform
langfun-0.0.2.dev20230919-py3-none-any.whl Python 3 none any Details

Total release size: 200.4 kB

Release files / langfun-0.0.2.dev20230919.tar.gz

Download URL langfun-0.0.2.dev20230919.tar.gz
Size 81.3 kB
Tags Source
SHA-256 checksum
How to use checksums
9b25c03367a9cbf068448201a84704b05e5fb308c4df38a4c83f57b2e6ce9cc0
BLAKE2b-256 checksum
How to use checksums
8926d1a607a2d15730875d6681a6794ce1b572b23a8b69e1de4623da9dcc3c4b
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.dev20230919-py3-none-any.whl

Download URL langfun-0.0.2.dev20230919-py3-none-any.whl
Size 119.1 kB
Tags Python 3
SHA-256 checksum
How to use checksums
1905e76ebb05e223c05ebcfa5923d225b9e38bb5ebc55719c83e2cd31a2356cb
BLAKE2b-256 checksum
How to use checksums
971d61f7c94c50bcbbf0da2b420d041cd5ae171fad6971d2af05fda9b29260ec
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