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ExternalAI
AWS Machine Learning Blog

Evaluate any agent framework with Amazon Bedrock AgentCore Evaluations

Amazon Bedrock AgentCore Evaluations decouples agent evaluation from the framework you build on. As long as your agent emits OpenTelemetry telemetry, the service can score it, whether you use LangGraph, LlamaIndex, the OpenAI Agents SDK, Google ADK, the Claude Agent SDK, or Strands Agents. This post explains how the framework-agnostic contract works.

Advanced (300)Amazon Bedrock AgentCoreAnnouncements
AWS Machine Learning BlogRead original
ExternalSoftware Engineering
DZone

How to Connect a Foundry IQ Knowledge Base to LangGraph Over MCP

A step-by-step guide to grounding a LangGraph agent in Microsoft Foundry IQ agentic retrieval — without rebuilding your RAG pipeline. Why This Integration Is Worth Doing If you build agents on LangGraph and your enterprise content lives in Azure, you have probably written the same code twice: a chunker, an embedding job, a vector store, a retriever, a reranker, and a permissions filter bolted on at the end. Every new agent gets its own copy. Every copy drifts.

DZoneRead original
ExternalTechnology Trends
The Verge Tech

Being a mom is hard — the heat is making it harder

It's 8:52 AM and 86 degrees Fahrenheit (30 Celsius) where I live in Southern California. My husband just came back from a morning outing with our four-month-old. "How was the botanic garden?" I ask him. "It was okay. It was just too hot," he tells me. I didn't expect us to spend so much of our son's first summer cooped up inside, hiding from the heat. As I write this, an extreme heat warning for my area is glaring at me from my phone, effective for at least the next three days. "Dangerously ho

The Verge TechRead original
ExternalSoftware Engineering
DZone

Part 1: Building Governed MCP Tool Services With Quarkus LangChain4j and Goose

Goose — the open-source, Rust-based AI developer agent from Block (donated to the Linux Foundation’s Agentic AI Foundation) — interacts natively with your local development environment via the Model Context Protocol (MCP). In this tutorial, you will learn how to build stateless, cloud-native Java microservices using Quarkus LangChain4j and expose them as governed MCP extensions that Goose can discover and run seamlessly. Autonomous AI coding agents like Goose go far beyond simple code autocomple

DZoneRead original

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