Tool Use

Explore the evolution of AI agents from hard-coded tool use to autonomous resource discovery, featuring technical implementation guides and the role of high-speed API aggregators.

An in-depth technical analysis of the VAKRA framework, exploring how Large Language Model agents handle complex reasoning, tool integration, and the specific failure modes that hinder autonomous performance.

A comprehensive guide to building high-performance AI applications using Anthropic's Claude API, covering system prompts, real-time streaming, and function calling.

NVIDIA's Nemotron-Terminal introduces a systematic data engineering pipeline that treats tool use as a first-class capability, enabling more reliable and autonomous terminal agents.

An in-depth review of the OpenEnv framework, examining how modern LLM agents like Claude 3.5 Sonnet and DeepSeek-V3 perform when interacting with real-world operating systems, databases, and web environments.

Anthropic has launched agentic plug-ins for the Cowork platform, allowing developers to define custom tools, slash commands, and data integrations to streamline enterprise workflows with Claude.