#工具调用
23 related articles
·3 min
AI Agent Development Learning Roadmap: A Complete Four-Stage Guide from Beginner to Practitioner
A systematic AI Agent development learning roadmap covering core concepts, ReAct/CoT paradigms, multi-agent collaboration, and hands-on projects across four stages.
Read more →
·3 min
The Four Stages of AI Coding Tool Evolution: From Code Completion to Multi-Agent Collaboration
A deep dive into the four stages of AI coding tool evolution: from code completion and chat Q&A to Agentic Coding and multi-Agent collaboration, explaining the design logic behind Claude Code, Cursor, and Codex.
Read more →
Tutorials·3 min
ReAct vs. CodeAct: Two Core Approaches to Agent Tool Calling
In-depth comparison of ReAct and CodeAct — two core Agent tool-calling architectures. From paper principles to code implementation, learn the trade-offs between reasoning+action and code execution.
Read more →
Deep Dives·3 min
MCP Protocol Explained: The Unified Standard and Complete Workflow for LLM Tool Calling
Deep dive into MCP (Model Context Protocol): core concepts, role definitions, and complete workflow. Learn how MCP Server, Client, and Host work together to standardize LLM tool calling.
Read more →
Deep Dives·4 min
Agent Loop Core Mechanism Explained: Building a ReAct Loop from Scratch (With Debugging War Stories)
Deep dive into Agent Loop, the core mechanism of AI Agents, based on ReAct architecture. Covers Tool Call ID handling, context management, assistant message feedback, with full Python code and common bug fixes.
Read more →
Deep Dives·2 min
MCP Protocol Architecture Deep Dive: Host-Client-Server Three-Layer Design and Three Core Primitives
Deep dive into MCP's Host-Client-Server three-layer architecture and its Resources, Tools, Prompts primitives. Learn how it transforms AI tool integration from M×N to M+N.
Read more →
Tech Frontiers·3 min
DeepSeek V3.2 Released: Reasoning on Par with GPT-5, First to Integrate Deep Thinking into Tool Use
DeepSeek V3.2 is officially released and open-sourced with reasoning on par with GPT-5, second only to Gemini 3.0 Pro. First to integrate deep thinking into tool use, with top-tier agent capabilities and an IMO 2025 gold medal.
Read more →
Deep Dives·3 min
AI Agent Core Principles Explained: The Decision Loop and Three-Component Architecture
Deep dive into AI Agent core principles: the Sense-Plan-Act-Observe decision loop, and how Planning, Memory, and Tools components transform LLMs into autonomous digital employees.
Read more →
Deep Dives·3 min
NVIDIA Dynamo Multi-Turn Agentic Interaction: Deep Integration of Streaming Tokens and Tool Calling
Deep dive into NVIDIA Dynamo's multi-turn agentic interaction support, covering streaming token output, structured tool calling, state management, and MoE synergy for production-grade AI agents.
Read more →
Tutorials·3 min
Dify Agent Building Tutorial: Tool Calling & ESA Search Practical Guide
Complete guide to building Dify Agents: Function Call tool calling, ESA search configuration, time awareness solutions, and 161 plugin tools for no-code AI agent development.
Read more →
Tutorials·4 min
Dify AI Agent Tutorial: Tool Integration & ESA Search Configuration in Practice
Complete guide to building AI Agents on Dify with zero code, covering tool integration, ESA search configuration, time awareness solutions, and Agent design best practices.
Read more →
Tutorials·4 min
Dify AI Agent Tutorial: Tool Integration & Exa Search in Practice
Complete guide to building AI Agents on Dify: covers Agent vs. chatbot differences, Exa search tool setup, time-awareness solutions, and functional separation best practices.
Read more →
Tutorials·4 min
Dify AI Agent Tutorial: Build Tool-Calling & Smart Search with Zero Code
Learn how to build an AI Agent on Dify with zero code, covering Function Call vs ReAct modes, Exa search tool setup, time-awareness solutions, and Agent best practices.
Read more →
Tech Frontiers·2 min
LLM CLI 0.32a1 Released: Fixes Tool-Calling Session Storage Bug
Simon Willison's open-source CLI tool LLM releases v0.32a1, fixing a data integrity issue when restoring tool-calling sessions from SQLite. Learn about the fix, core features, and how to update.
Read more →
Tutorials·3 min
Using LLMs as Script Interpreters: Shebang Lines Turn Natural Language into Executable Scripts
Simon Willison shows how putting LLM CLI tools in shebang lines turns plain English text files into executable scripts, from basic usage to tool calls and YAML templates.
Read more →
Tech Frontiers·1 min
LLM 0.32a1 Released: Fixes Critical Bug Where Tool-Calling Conversations Failed to Restore from SQLite
Simon Willison releases LLM CLI tool v0.32a1, fixing a critical bug where tool-calling conversations failed to restore from SQLite. Details on the fix and installation.
Read more →
Tech Frontiers·1 min
LLM 0.32a1 Released: Detailed Fix for Tool-Calling Conversation Storage Bug
Simon Willison releases LLM CLI tool v0.32a1, fixing a critical bug where tool-calling conversations failed to reload from SQLite. Details on the fix and upgrade.
Read more →
Tech Frontiers·1 min
LLM 0.32a1 Released: Critical Bug Fix for Tool-Calling Conversation Recovery
Simon Willison releases LLM CLI tool v0.32a1, fixing a critical bug where tool-calling conversations couldn't be properly restored from SQLite database.
Read more →
Tech Frontiers·1 min
LLM CLI Tool 0.32a1 Released: Fixes Tool-Calling Conversation Storage Bug
Simon Willison releases LLM CLI tool 0.32a1 preview, fixing a critical bug where tool-calling conversations failed to restore from SQLite. Learn about the update and installation.
Read more →
Tech Frontiers·1 min
LLM 0.32a1 Released: Fixes Tool-Calling Conversation Storage Bug
LLM 0.32a1 alpha release fixes a critical bug where tool-calling conversations failed to reload correctly from SQLite database storage.
Read more →