Lamini: The Official Python Client for Generative AI API

This repository profile is provided by osrepos.com, an open source repository discovery platform.

Lamini: The Official Python Client for Generative AI API

Summary

Lamini is the official Python client and SDK designed to interact with the Lamini API, enabling developers to create their own Generative AI applications. It provides a straightforward interface for integrating powerful AI capabilities into Python projects. This package simplifies the process of building and deploying generative AI solutions.

Repository Information

Analyzed by OSRepos on July 6, 2026

Topics

Click on any tag to explore related repositories

Use at your own risk

OSRepos shares public repositories for knowledge and discovery only. Any installation, execution, configuration, or use of code from these repositories is the user's own responsibility. Always review the repository, source code, dependencies, licenses, and security implications before running or installing anything. OSRepos is not responsible for issues, damages, or losses resulting from third-party repositories.

Introduction

Lamini is the official Python client and SDK for the Lamini API, empowering developers to build and deploy their own Generative AI solutions. This package provides a robust and easy-to-use interface, allowing seamless integration of Lamini's powerful AI capabilities into any Python application. It is designed to keep users up-to-date with the latest features and improvements from the Lamini platform.

Installation

Getting started with Lamini is straightforward. You can install the package using pip:

pip install lamini

Examples

To begin using Lamini, you will first need to set up your API keys. Visit https://app.lamini.ai/account to log in and obtain your key. Once you have your key, create a ~/.lamini/configure.yaml file with the following content:

production:
    key: "<YOUR-KEY-HERE>"

For detailed usage examples and to explore the full range of functionalities, refer to the official package documentation available at https://lamini-ai.github.io/.

Why Use Lamini

Lamini stands out as an excellent choice for developers looking to integrate Generative AI into their projects. Its official Python client offers a streamlined experience, abstracting away much of the complexity involved in interacting with large language models. With Lamini, you can rapidly prototype, develop, and scale AI-powered applications, benefiting from continuous updates and a well-documented API. It's ideal for anyone aiming to leverage state-of-the-art generative AI with minimal setup.

Links

Here are some essential links to get started and learn more about Lamini:

Related repositories

Similar repositories that may be relevant next.

dify-official-plugins: Extending Dify with AI Models, Tools, and Agent Strategies

dify-official-plugins: Extending Dify with AI Models, Tools, and Agent Strategies

August 18, 2026

The `dify-official-plugins` repository hosts a collection of official plugins for Dify, an open-source platform for developing LLM-powered AI applications. These plugins, including models, tools, agent strategies, and extensions, enhance Dify's capabilities and are maintained by the official Dify team. They are designed to help developers efficiently build, deploy, and manage AI-driven solutions.

PythonAILLM
Agent Skills: A Standardized Way to Give AI Agents New Capabilities

Agent Skills: A Standardized Way to Give AI Agents New Capabilities

August 18, 2026

Agent Skills provides a lightweight, open format for extending AI agent capabilities with specialized knowledge and workflows. It allows packaging procedural knowledge and context into portable, version-controlled folders that agents load on demand. This enables agents to gain domain expertise, follow repeatable workflows, and reuse skills across various compatible AI tools.

agent-skillsPythonAI
A-MEM: Self-Evolving Memory for Coding Agents

A-MEM: Self-Evolving Memory for Coding Agents

August 17, 2026

A-MEM is an innovative self-evolving memory system designed for coding agents, organizing knowledge into a dynamic Zettelkasten-style graph. It allows memories to evolve and connect over time, enhancing an agent's ability to recall and utilize information effectively. This system offers both semantic and structural search capabilities for a richer knowledge base.

PythonAILLM
Agent Sandbox: Secure Local Development for AI Coding Agents

Agent Sandbox: Secure Local Development for AI Coding Agents

August 17, 2026

Agent Sandbox provides a robust and secure local development environment specifically designed for collaborating with AI coding agents. It ensures minimal filesystem access, configurable network egress policies, and secure secret injection, protecting your local machine from potentially risky agent operations. This project supports various AI agents and integrates seamlessly with both CLI and popular IDE devcontainer setups.

agent-harnessagent-sandboxagents

Source repository

Open the original repository on GitHub.

17 counted GitHub visits

View on GitHub
OS
OSRepos

Analysis and discovery of open source repositories. Find interesting projects and follow their updates.

Monitor your website with YourWebsiteScore

OSRepos shares public repositories for knowledge and discovery only. Any installation, execution, configuration, or use of third-party repository code is at your own risk. Always review source code, dependencies, licenses, and security implications before running anything.

© 2025 OSRepos. Built with Nuxt 3 and lots of ❤️