A practical guide to function calling vs. tool use in LLMs: architectures, trade-offs, design patterns, reliability, security, and evaluation.
Hands-on guide to reliable, secure tool calling for AI agents: architecture, schemas, control loops, error handling, observability, and evaluation.
Step-by-step DeepSeek API integration: base URL, models, cURL/Python/Node code, streaming, thinking mode, tool calls, errors, and production tips.
A practical GPT‑4 API guide to Structured Outputs: enforce JSON Schemas via Responses and Chat Completions, with code, streaming, and production tips.
A practical, end-to-end tutorial for Claude API tool use: define tools, run the tool loop, add web search/fetch, and productionize with SDK patterns.
A practical, production-ready guide to integrating multi-modal AI APIs—covering architecture, streaming, function calling, safety, cost, and reliability.
