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.dev20231225

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.dev20231225
File Size Uploaded
langfun-0.0.2.dev20231225.tar.gz 126.1 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for langfun 0.0.2.dev20231225
File Interpreter ABI Platform
langfun-0.0.2.dev20231225-py3-none-any.whl Python 3 none any Details

Total release size: 317.1 kB

Release files / langfun-0.0.2.dev20231225.tar.gz

Download URL langfun-0.0.2.dev20231225.tar.gz
Size 126.1 kB
Tags Source
SHA-256 checksum
How to use checksums
65aaef953f2aa6da4b882fb727f1e45e69c9fb29320ab17ebd8f775102ae0f8f
BLAKE2b-256 checksum
How to use checksums
e8fc551ddd3c0ebaacfd2c7669c9f4c76c928b817361f1f04a63fbd7d84ffd77
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.12.1

Release files / langfun-0.0.2.dev20231225-py3-none-any.whl

Download URL langfun-0.0.2.dev20231225-py3-none-any.whl
Size 191.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
09a9e16c94f2df4c8c1cb2408242d37083800fe547792707c06baebd1f08a624
BLAKE2b-256 checksum
How to use checksums
d937a17b9ec7cd65a1181e4b454ed40c0afd4a5dcce060752d9afb38dc319429
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.2 CPython/3.12.1

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