RouteLLM is a flexible framework for serving and evaluating LLM routers, designed to maximize performance while minimizing cost. Key features: Seamless integration — Acts as a drop-in replacement for the OpenAI client or runs as an OpenAI-compatible server, intelligently routing simpler queries to cheaper models. Pre-trained routers out of the box — Proven to cut…
The year 2025 marks a defining moment in the evolution of artificial intelligence, ushering in an era where agentic systems—autonomous AI agents capable of complex reasoning and coordinated action—are transforming enterprise workflows, research, software development, and day-to-day user experiences. This articles focuses on five core AI agent trends for 2025: Agentic RAG, Voice Agents, AI…
Table of contents Why Classic AI Agent Workflows Fail The 9 Agentic Workflow Patterns for 2025 Sequential Intelligence Parallel Processing Intelligent Routing Self-Improving Systems How These Patterns Revolutionize AI Agents Real-World Impact & Implementation Best Practices Conclusion AI agents are at a pivotal moment: simply calling a language model is no longer enough for production-ready…
In this tutorial, we walk through building an advanced PaperQA2 AI Agent powered by Google’s Gemini model, designed specifically for scientific literature analysis. We set up the environment in Google Colab/Notebook, configure the Gemini API, and integrate it seamlessly with PaperQA2 to process and query multiple research papers. By the end of the setup, we…
The Mixture-of-Agents (MoA) architecture is a transformative approach for enhancing large language model (LLM) performance, especially on complex, open-ended tasks where a single model can struggle with accuracy, reasoning, or domain specificity. How the Mixture-of-Agents Architecture Works Layered Structure: MoA frameworks organize multiple specialized LLM agents in layers. Each agent within a layer receives all…
Table of contents TL;DR 1) What is an AI agent (2025 definition)? 2) What can agents do reliably today? 3) Do agents actually work on benchmarks? 4) What changed in 2025 vs. 2024? 5) Are companies seeing real impact? 6) How do you architect a production-grade agent? 7) Main failure modes and security risks 8)…
In this tutorial, we’ll explore the new capabilities introduced in OpenAI’s latest model, GPT-5. The update brings several powerful features, including the Verbosity parameter, Free-form Function Calling, Context-Free Grammar (CFG), and Minimal Reasoning. We’ll look at what they do and how to use them in practice. Check out the Full Codes here. Installing the libraries Copy…
Reading through Cloudflare’s detailed exposé and the extensive media coverage, the controversy surrounding Perplexity AI’s web scraping practices is deeper — and more polarizing — than it first appears. Cloudflare accuses Perplexity of systematically ignoring website blocks and masking its identity to scrape data from sites that have opted out, raising serious questions about ethics,…
In this tutorial, we begin by showcasing the power of OpenAI Agents as the driving force behind our multi-agent research system. We set up our Colab environment with the OpenAI API key, installed the OpenAI Agents SDK, and then defined custom function tools, web_search, analyze_data, and save_research, to harness the agents’ capabilities. We instantiate three…
A Team of researchers from USC, Salesforce AI and University of Washington have introduced CoAct-1, a pioneering multi-agent computer-using agent (CUA) that marks a significant leap in autonomous computer operation. By elevating coding to a first-class action—on par with traditional GUI manipulation—CoAct-1 overcomes longstanding challenges of efficiency and reliability in complex, long-horizon computer tasks. On…