Part III — The Support Bot Project

Keywords

ChatML, LLMs, Prompt Engineering, LangChain, LlamaIndex

“Theory becomes tangible when structure meets execution.”

This part transforms everything discussed so far — roles, templates, validation, and memory — into a living, deployable ChatML-based system. Here, you will build Support Bot v3.4, a fully functional conversational AI that embodies the principles of structured prompting, tool orchestration, and stateful reasoning.

Purpose of This Part

While Part I and Part II explored ChatML’s grammar and engineering discipline, this part shows how those ideas integrate into an operational product.
By the end, you will have a working FastAPI + Ollama (Qwen 2.5: 1.5 B) chatbot capable of handling customer-support workflows such as:

  • Tracking and canceling orders
  • Updating delivery addresses
  • Checking refund eligibility
  • Registering complaints
  • Maintaining persistent, contextual memory

Each chapter dissects one layer of the architecture — from API endpoints and tool execution to logging, observability, and deployment.

What You’ll Learn

  • How to convert structured ChatML messages into executable workflows.
  • How intent detection, template rendering, and memory persistence interact in real-time.
  • How to integrate FastAPI, Ollama, and local LLMs for reproducible, auditable AI.
  • How logging and validation make conversational systems explainable and secure.

This part is deliberately hands-on: every concept culminates in runnable code, tested scripts, and transparent logs. You will see how ChatML acts not just as a markup, but as the nervous system of a production-ready conversational architecture.

The Journey Ahead

The chapter that follow demonstrate how ChatML as language becomes ChatML as infrastructure. You will watch a conversational framework evolve from theoretical markup into a working support assistant — transparent, modular, and human-aligned.

💡 Part III is where ChatML stops being documentation and becomes software — a bridge between structured conversation and operational intelligence.