Deploy AI Agents to Production with Docker: A Step-by-Step Guide
Read OriginalThis article provides a practical tutorial for deploying AI agents to production using Docker. It addresses common pitfalls like missing environment variables, dependency conflicts, and exposed secrets. The guide walks through building a simple AI agent with LangGraph, exposing it via FastAPI, packaging with Docker, and running with Docker Compose. It emphasizes production habits: input validation, typed response models, API key checks, logging, timeouts, retries, and secure secret handling. The goal is a clean, reusable deployment pattern for real AI applications.
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