Tagged articles

tool calls

6 articles · Page 1 of 1
AI Illustrated Series
AI Illustrated Series
Jun 24, 2026 · Artificial Intelligence

From Clicks to Calls: Translating React Page Interactions into AI Agent Tool Invocations

The article explains how traditional React page interactions—where developers hard‑code each step—contrast with AI Agent interactions, where a language model decides which tools to call, and shows front‑end developers how to map event handlers to LangChain.js tools, choose between Chain and Agent architectures, and build a multi‑tool Agent with concrete TypeScript examples.

AI AgentJavaScriptLangChain
0 likes · 9 min read
From Clicks to Calls: Translating React Page Interactions into AI Agent Tool Invocations
Xike
Xike
Jun 2, 2026 · Artificial Intelligence

Why Agent Conversations Aren’t Just Chat Logs: Effective Context Management

The article explains that an Agent’s context is a structured snapshot built from role contracts, tool trajectories, and window budgeting, not a raw chat transcript, and details how proper context handling prevents forgetting, token bloat, and tool‑call mismatches in multi‑turn LLM workflows.

Context ManagementLLM agentsReAct
0 likes · 16 min read
Why Agent Conversations Aren’t Just Chat Logs: Effective Context Management
ShiZhen AI
ShiZhen AI
Jan 13, 2026 · Artificial Intelligence

Can a 30B Open‑Source Model Match Closed‑Source Giants? MiroThinker 1.5 Review

MiroThinker 1.5 adopts a "scientist" mode with Interactive Scaling, runs a hypothesis‑evidence loop, scores 56.1 on the BrowseComp benchmark—close to Gemini DeepSearch’s 59.2—while supporting up to 400 tool calls, 256K context, and delivers detailed research reports, all as an open‑source project on GitHub.

MiroThinkerOpen-source LLMSearch AI
0 likes · 8 min read
Can a 30B Open‑Source Model Match Closed‑Source Giants? MiroThinker 1.5 Review
Amazon Cloud Developers
Amazon Cloud Developers
Nov 13, 2025 · Artificial Intelligence

Creating Seamless Voice Banking Agents with Amazon Nova Sonic + AgentCore

The article demonstrates how to build a modular, multi‑Agent voice banking assistant using Amazon Nova Sonic as the speech interface and Amazon Bedrock AgentCore to orchestrate specialized sub‑Agents for identity verification, account queries, and mortgage assistance, while discussing design trade‑offs, tool‑call integration, and best‑practice recommendations.

AgentCoreAmazon Nova SonicMulti-Agent Architecture
0 likes · 13 min read
Creating Seamless Voice Banking Agents with Amazon Nova Sonic + AgentCore
Alibaba Cloud Developer
Alibaba Cloud Developer
Sep 9, 2025 · Artificial Intelligence

Tackling Real‑World Challenges in Multi‑Agent React: From ToolCalls to Context Compression

This article analyzes production‑grade issues of a multi‑agent React framework—such as long ToolCall latency, context bloat, missing intermediate states, loop control, and supervision gaps—and presents concrete XML‑based tool‑call prompts, context‑compression techniques, summary tools, and a plug‑and‑play MCP supervisor that together improve performance, reliability, and user‑facing output quality.

AI planningContext CompressionReAct pattern
0 likes · 16 min read
Tackling Real‑World Challenges in Multi‑Agent React: From ToolCalls to Context Compression
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 4, 2025 · Artificial Intelligence

Bridge Java and Python AI: Integrate MCP with Spring AI for Seamless Tool Calls

This article walks through how Java developers can connect to Python‑based AI services using the Model Context Protocol (MCP), compares STDIO and SSE transports, explains why Spring AI’s MCP support is limited, and shows a complete implementation with the raw MCP Java SDK and OpenAI client to invoke tools like Blender from Java code.

AI integrationJavaMCP
0 likes · 50 min read
Bridge Java and Python AI: Integrate MCP with Spring AI for Seamless Tool Calls