5 articles
A complete developer guide to the Anthropic Claude API in 2026 covering text generation, vision, tool use, streaming, prompt caching, and extended thinking with Python and TypeScript examples. Built for engineers shipping Claude-powered features to production.
Step-by-step tutorial on OpenAI function calling (tool use) with Python examples. Covers tool definition, parallel calls, multi-step agent loops, and structured data extraction.
A comprehensive guide to building autonomous LLM agents with tool use, covering the ReAct pattern, function calling, memory systems, and multi-agent coordination — with production-ready Python examples. For ML engineers and backend developers building agentic AI systems.
Design bulletproof LLM agents with structured tool definitions, parallel execution, result validation, human-in-the-loop gates, and comprehensive observability.
Master function calling with schema design, parallel execution, error handling, and recursive loops to build autonomous LLM agents that work reliably at scale.