Ever watched your AI agent's token costs climb as conversations grow longer? Here's the thing: AI agents need context to be useful. But when your chat history balloons past 50, 100, or even 200 messages, you're burning through tokens like crazy, slowing down responses,
This release takes LarAgent one step further — with smarter observability, a native Gemini integration, and full control over your agent configurations. ⚡ Tool Execution Reimagined LarAgent now brings complete visibility into every tool call. The BeforeToolExecution and AfterToolExecution events now include the new ToolCall object. What it means * Each tool call
We are in the era of Software 3.0, where your prompts are essentially the programs that control large language models (LLMs). But here’s the developer pain point: as your AI agent grows smarter, it needs more tools—access to databases, external APIs, and memory servers. Managing all these
This release focuses on fast, stateless interactions, dynamic capability via MCP, and deep Laravel-native observability through events. 🚀 New Methods LarAgent introduces two new, developer-friendly methods for interacting with agents without maintaining persistent chat histories. 🔹 ask() — one-liner interaction Ideal for quick, stateless prompts: echo WeatherAgent::ask('What is the weather
Building AI agents in Laravel keeps getting smoother. With LarAgent v0.6, we’re bringing more model providers, better defaults, and bug fixes that make your development life easier. Whether you’re plugging into OpenRouter, Claude, or Ollama—or just want a cleaner setup out of the box—this release
Running AI models on your own laptop or even a phone sounds fun, right? 😊 In this guide, we’ll explore how to make a small and simple model a bit smarter by turning it into a reasoning agent using LarAgent in Laravel. If you prefer to watch instead of reading,
Want to give your AI tools complete knowledge of the LarAgent framework? 🚀 In this guide, you'll learn a powerful trick: how to download the entire LarAgent documentation as a single text file and feed it into an AI tool like Google’s NotebookLM. This allows you to combine
Want to build your own AI chatbot and test it in a chat app like OpenAI? 😊 In this guide, you'll learn how to create an AI agent using Laravel & LarAgent v0.5, turn it into an API endpoint compatible with OpenAI clients, and connect it to OpenWebUI,
How To Turn Laravel AI Agents Into API Services? The LarAgent v0.5 release makes it much easier to expose your Laravel‑based AI agents through an OpenAI‑compatible API and adds a lot of new capabilities. * Connect LarAgent agents to any OpenAI-compatible UI, such as OpenWebUI, LibreChat and many
The latest upgrade includes several breaking changes, so we have decided to write an upgrade guide to ensure a seamless experience for you. Below you will find what to check and how to change it to make compatible. Usage keys Usage object stored in the message metadata and therefore sometimes
LarAgent brings the power of agentic AI to any Laravel 10+ project, letting you define agents using familiar PHP classes and register tools with a simple attribute. This guide walks through the core concepts of LarAgent, shows how to install and configure it, and then builds a complete Travel Planner
LarAgent just upgraded — big time. We're bringing powerful new AI capabilities, better control, and multi-modality support to Laravel developers. Let’s break it down 👇 🔹 Groq API + Massive Model Expansion Ever wanted access to blazing-fast AI models beyond OpenAI? Now you’ve got it. Thanks to a game-changing contribution