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.dev20230925

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.dev20230925
File Size Uploaded
langfun-0.0.2.dev20230925.tar.gz 89.4 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for langfun 0.0.2.dev20230925
File Interpreter ABI Platform
langfun-0.0.2.dev20230925-py3-none-any.whl Python 3 none any Details

Total release size: 222.0 kB

Release files / langfun-0.0.2.dev20230925.tar.gz

Download URL langfun-0.0.2.dev20230925.tar.gz
Size 89.4 kB
Tags Source
SHA-256 checksum
How to use checksums
9d8353fd4dea3cc768ac0fd1760c92c27dac87f4969dfe2cfaa8682d36e8cf19
BLAKE2b-256 checksum
How to use checksums
e1fd0a3abd220c75f95fb99838838b58449b2dfbe9aa40e59df8bd2d00f1ed1c
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.dev20230925-py3-none-any.whl

Download URL langfun-0.0.2.dev20230925-py3-none-any.whl
Size 132.5 kB
Tags Python 3
SHA-256 checksum
How to use checksums
67b771be8251e9fbd9be379f6e8b96e13457f14413e3ad7efbab269b3f5e3267
BLAKE2b-256 checksum
How to use checksums
561b34bb5b59118e04b7db1f2e8d610175c25cf4b30e82c7c159f4a21286b188
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