LarAgent v1.0 marked the package as production-ready. Now, v1.1 and v1.2 push things further — with automatic provider failover, smarter tool development using DataModels, and flexible identity management for multi-tenant apps. Let's dive into what's new. 🔄 Multi-Provider Fallback What happens when OpenAI goes down
This major release takes LarAgent to the next level - focused on structured responses, reliable context management, richer tooling, and production-grade agent behavior. Designed for both development teams and business applications where predictability, observability, and scalability matter 🛠️ Structured Outputs with DataModel LarAgent introduces DataModel-based structured responses, moving beyond arrays to
We've all been there: you ask an AI to write a LinkedIn post, and it gives you something... okay. Not great, just okay. It's a bit generic, maybe too enthusiastic, or it misses the nuance of your brand voice. So you rewrite the prompt. "Make
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