Function and Tool Calling: How AI Agents Use Real Capabilities
Give an AI agent controlled access to calculators, searches, APIs, and local data without handing execution control to the model.
Prabhat
Aug 25, 20265 min read1 view
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Give an AI agent controlled access to calculators, searches, APIs, and local data without handing execution control to the model.
Prabhat
Aug 25, 20265 min read1 view
Understand the origin-edge-viewer path, calculate a simple CDN hit rate, and learn what should not be cached at a shared edge.
Define the shape first, then turn natural-language notes into consistent data your application can sort, save, schedule or pass to a tool.
Caching avoids repeated expensive work by keeping a fast nearby copy, but every speed gain comes with freshness, memory, and invalidation decisions.
Move from agent design to working code with a safe API setup and your first model call.
Turn an agent idea into a controlled design by defining what it knows, what it can do, and when it must ask for help.
Vertical scaling makes one machine bigger; horizontal scaling adds machines. Learn when each approach helps and what complexity it introduces.
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A beginner-friendly guide to load balancing, health checks, routing strategies and the limits of traffic distribution.
Understand the repeating loop that lets an AI agent use results and feedback to decide what to do next.
A beginner-friendly 30-day roadmap that turns system design into a structured journey from core building blocks to complete real-world architectures.