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Building an agent that works in a notebook is very different from deploying one that serves real users reliably. Production agent systems must handle asynchronous execution, comprehensive observability, graceful error recovery, horizontal scaling, and detailed trace logging. This lesson covers the patterns and practices for deploying agents to production.
┌──────────┐ ┌──────────────┐ ┌────────────────────────────┐
│ Client │────▶│ API Gateway │────▶│ Agent Orchestrator │
│ │ │ (Auth, Rate │ │ (Task queue, routing) │
│ │ │ Limiting) │ └────────────┬───────────────┘
└──────────┘ └──────────────┘ │
┌───────────┼───────────────┐
│ │ │
▼ ▼ ▼
┌──────────┐ ┌──────────┐ ┌──────────┐
│ Agent │ │ Agent │ │ Agent │
│ Worker 1 │ │ Worker 2 │ │ Worker N │
└────┬─────┘ └────┬─────┘ └────┬─────┘
│ │ │
┌────────┴────────────┴──────────────┘
│
┌──────────┼──────────────┐
│ │ │
▼ ▼ ▼
┌──────────┐ ┌──────────┐ ┌──────────┐
│ LLM APIs │ │ Tool │ │ State │
│ │ │ Services │ │ Store │
└──────────┘ └──────────┘ │ (Redis/ │
│ Postgres)│
└──────────┘
Agents can take seconds to minutes to complete. Never block the request thread.
import asyncio
import uuid
from enum import Enum
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