AI Agent Deployment Guide 2026

The dev environment agent runs fine, but crashes as soon as it hits production? This article covers the complete agent deployment workflow—Docker packaging, API services, and monitoring alerts.

💡 What You Will Learn

The dev environment agent runs fine, but crashes as soon as it hits production? This article covers the complete agent deployment workflow—Docker packaging, API services, and monitoring alerts.

 → Nginx → Agent API → Agent Worker → 
                                    ↓
                               (Redis/DB)

FROM python:3.12-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install -r requirements.txt
COPY . .
CMD ["python", "serve.py"]

from fastapi import FastAPI
from pydantic import BaseModel

app = FastAPI()

class Query(BaseModel):
    message: str
    session_id: str

@app.post("/agent/run")
async def run_agent(query: Query):
    # Session
    # Agent
    # 
    pass

import redis
r = redis.Redis()
r.set(f"session:{session_id}", json.dumps(state))

|:----|:--------|:----|

Summary