Lesson 4: Context & Project 1

Advanced Architectures for Vertical AI Agents ~3 min read 60 min hands-on

Context-Aware Agent Platform

Integrated production console for context compaction, session persistence, and dialogue runtime. This project unifies three core engineering domains into a single deployable system with a unified dashboard, REST API, and Docker packaging.

What this project covers

This platform integrates context engineering, state management, and conversational agent patterns into one self-contained repository:

Dashboard tabs

Architecture

Code

Stack: Python 3.12 · FastAPI · Pydantic v2 · tiktoken · scikit-learn · Vite · React 19 · Docker (nginx + slim images)

Prerequisites

  • Python 3.12+

  • Node.js 20+ and npm

  • Docker (optional, for containerized deployment)

Quick start

All commands run from inside the project directory — no parent wrapper script required.

bash

Open http://localhost:3500 · API docs at http://localhost:8500/docs

Docker deployment

bash

Environment configuration

Copy .env.example to .env. The platform runs in offline inference mode without an API key.

CLI dialogue

bash

Commands: /objective <description>, /exit

Project structure

Code

Parent convenience script

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