Personal R&D

Function-Calling Support Assistant

Ongoing

A support-ticket agent that decides when to call real Python functions — order lookup, refund calculation — instead of guessing.

AI / ML

Overview

Built the core agent loop from scratch: send messages to the LLM, let it emit structured tool calls, execute the matching Python function, feed the result back, repeat — the actual mechanics behind 'agentic' behavior.

What I did

•Implemented an agent loop with tool-call execution and a bounded turn limit to avoid runaway loops
•Defined JSON-schema tool contracts (lookup_order, calculate_refund) the model calls with structured arguments
•Applied a real refund policy (14/30-day tiers) as the deterministic logic behind the AI-facing tool

Stack

PythonOpenAI function callingCLI

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