Langfun

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Langfun is a Coding & Development tool that makes language models fun to work with by treating language as functions. It enables seamless integration between natural language and programming through Object-Oriented Prompting.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is langfun?

Langfun is a PyGlove-powered library designed to simplify working with large language models (LLMs) by treating natural language as functions. This approach enables seamless integration between natural language and programming, enhancing control and streamlining agent development. A key feature is Object-Oriented Prompting, which allows users to interact with LLMs using objects and types. Langfun is compatible with popular LLMs like Gemini, GPT, and Claude without requiring additional fine-tuning. It offers a powerful and scalable solution with modular prompts, efficient workflows for both request-based and batch jobs, and a robust evaluation framework. The library is designed for agile development, providing an intuitive programming model, easy integration into Python codebases, and comprehensive LLM support under a unified API.

Best used for

Ideal for developers who need to seamlessly integrate natural language with computer programs, develop LLM agents with enhanced control, and efficiently manage both request-based and batch jobs. Especially valuable for those seeking an intuitive programming model and comprehensive LLM support within a unified API.

Common actions

integrate language models

develop LLM agents

prompt LLMs with objects

automate language tasks

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Capabilities

Key features

Object-Oriented Prompting
Modular prompts
Unified LLM API
Batch job efficiency
Powerful evaluation framework
Python codebase integration

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What LLMs are compatible with Langfun?

Langfun is designed to be compatible with a wide range of popular large language models, including Gemini, GPT, and Claude. This compatibility is achieved without the need for additional fine-tuning, allowing developers to integrate their preferred LLMs seamlessly into their projects.

What is Object-Oriented Prompting in Langfun?

Object-Oriented Prompting is a core concept in Langfun that empowers users to interact with LLMs using objects and types. This approach provides enhanced control over prompting, simplifies the development of LLM agents, and allows for a more structured and programmatic way to define interactions with language models.

How can I install Langfun and its features?

Langfun can be installed minimally using `pip install langfun`. For a complete installation with all dependencies, use `pip install langfun[all]`. You can also customize installations to include specific features like VertexAI access or UI enhancements by specifying tags such as `langfun[vertexai,mime,ui]`.

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Subcategories trending in Coding & Development

Open Source & Models DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs Prompt Engineering

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