Week 4: Production Engineering
This week focuses on taking your agents from prototype to production. You'll learn how to add safety guardrails, implement human oversight, and deploy agents as scalable APIs.
Learning Objectives
By the end of this week, you will:
- ✅ Implement LangSmith tracing for debugging and monitoring
- ✅ Add Guardrails for input/output validation
- ✅ Build Human-in-the-Loop (HITL) approval workflows
- ✅ Create Dynamic Model Routing for cost optimization
- ✅ Deploy with FastAPI and Docker
- ✅ Complete a full Enterprise Knowledge Agent capstone
Sessions
The Big Picture
Production is about reliability, not just functionality.
A working prototype is just the beginning. Production agents need safety checks, monitoring, human oversight, and scalable infrastructure.
Architecture Preview
Key Concepts
| Concept | Description | Purpose |
|---|---|---|
| Input Guardrails | Validate and sanitize user input | Security, safety |
| Output Guardrails | Check generated content | Prevent hallucination |
| HITL | Human approval for critical actions | Trust, compliance |
| Model Routing | Choose model based on task complexity | Cost optimization |
| LangSmith | Tracing and debugging platform | Observability |
Notebooks
| Session | English | Korean |
|---|---|---|
| 01. Evaluation | 📘 Notebook (opens in a new tab) | 📘 노트북 (opens in a new tab) |
| 02. Guardrails | 📘 Notebook (opens in a new tab) | 📘 노트북 (opens in a new tab) |
| 03. Model Routing | 📘 Notebook (opens in a new tab) | 📘 노트북 (opens in a new tab) |
| 04. DSPy | 📘 Notebook (opens in a new tab) | 📘 노트북 (opens in a new tab) |
| Capstone | 📘 Coming Soon | - |
What You'll Build
The capstone project brings together everything from Weeks 1-4:
- Week 1: ReAct agent with tools
- Week 2: Self-correcting reasoning
- Week 3: Multi-agent collaboration
- Week 4: Production guardrails and deployment