AI Resources

The Production AI Agent Tech Stack: Costs & Architecture

Building a production-ready AI agent requires integrating multiple software layers. This guide outlines the standard technical architecture and lists estimated monthly costs for each tool in the stack.

1. Tech Stack Overview

A production agent stack includes: 1. **Language Model API** (OpenAI, Anthropic) 2. **Agent Framework** (LangGraph, Autogen) 3. **Vector Database** (Qdrant, Pinecone) 4. **Observability Platform** (Helicone, LangSmith) 5. **Tool Integrations** (Tavily search, Firecrawl scraping).

2. Infrastructure Hosting Choices

You can host your agent code on serverless platforms (Render, Vercel) starting at $7/month, or use Kubernetes clusters (AWS EKS, GCP GKE) for high-scale enterprise apps starting at $150/month.

Frequently Asked Questions

What is the cheapest vector database for agents?

pgvector running inside your existing Postgres instance is free, saving you from paying for a dedicated vector database provider.

Do I need paid monitoring tools?

For development, LangSmith and Helicone have free tiers that are sufficient. For production, paid monitoring is essential to track query errors and optimize costs.