Tag
tool calling
Tool calling is the mechanism that lets an LLM invoke APIs, query databases, trigger workflows, or run external functions through structured contracts. It sits at the center of agent systems, where JSON schemas, error handling, loop control, and evaluation shape reliability.
11 articles
Loop Engineering 入门：构建可持续迭代的智能体
用 LangChain 和 LangGraph 搭建一个可持续迭代的 Loop Engineering 智能体。
NetSuite’s agentic workflow definition, unpacked
I break down NetSuite’s agentic workflow definition and turn it into a copy-ready pattern for building AI processes with less hand-holding.
Deploy MiniMax M3 with vLLM OpenAI API
Run MiniMax M3 locally with vLLM and expose an OpenAI-compatible API.
How to understand the Codex and ChatGPT merge
This guide explains how to evaluate the Codex and ChatGPT app merge as one workflow.
MiniMax M2 opens up cheap agentic coding
MiniMax open-sourced M2, a model for agents and code that costs $0.30 per million input tokens and is free for a limited time.
Why Open-Source LLMs Must Be Judged by Workload, Not Hype
Open-source LLMs in 2026 should be chosen by workload fit, not benchmark hype.
Microsoft Agent Framework Adds Agent Building Blocks in .NET
Microsoft's Agent Framework adds agents, tools, sessions, memory, and workflows to .NET on top of MEAI and VectorData.
Kimi K2.6 Brings 256K Context to API Users
Kimi K2.6 adds 256K context, multimodal input, and stronger coding for developers using the Kimi API Platform.
Hermes Agent: The Agent Harness Framework to Watch
Hermes Agent aims to make agent testing and orchestration easier, with tool use, evals, and workflow control in one stack.
What Agentic Workflows Actually Do in Enterprise AI
Agentic workflows let AI agents plan, act, and adapt with little human input, changing how teams handle support, ops, and data work.
What AI Agents Are and How They Work
AI agents combine LLMs, memory, tools, and planning. IBM says they can call APIs, search data, and coordinate tasks autonomously.