The best AI boilerplates for shipping LLM-powered products.
"AI boilerplate" spans a wide range: some are backend-only APIs, some are full-stack chat UIs, some are just LangChain quickstart templates. Here's how the main categories compare, so you pick based on what layer of the stack you actually need help with.
#1FastAPI AI Kit
This kitA Python/FastAPI backend boilerplate specifically for AI products: unified LLM layer, RAG pipeline, JWT/API-key auth, and Stripe usage metering.
Pros
- Covers the full backend: auth, billing, and rate limiting alongside the AI layer
- Works with OpenAI, Anthropic, and OpenAI-compatible providers (Groq, OpenRouter, Gemini's compatibility endpoint)
- One-time cost, production-deployable from day one
Cons
- Backend only — bring or build your own frontend
- Python-specific — not a fit for JS/TS-only teams
Best for: Python teams building a production AI API with auth and billing needs.
#2LangChain / LangServe templates
Open-source templates for deploying LangChain chains and agents as APIs. Focused purely on the LLM orchestration layer, not surrounding product infrastructure.
Pros
- Free and flexible for complex chains, agents, and custom retrieval logic
- Large community and extensive integrations
Cons
- No auth, billing, or rate limiting — you build the product infrastructure yourself
- Can add real complexity/overhead for simple LLM call patterns
Best for: Teams needing complex chain/agent orchestration who will build the rest of the product infra separately.
#3Vercel AI SDK starter templates
Free, open-source Next.js templates using the Vercel AI SDK for building chat UIs with streaming — frontend-and-edge-function focused, JS/TS ecosystem.
Pros
- Excellent for shipping a chat UI quickly in Next.js
- Strong streaming support and a large template gallery
Cons
- No RAG pipeline, billing, or API-key auth system out of the box
- JS/TS only — no access to Python's ML ecosystem
Best for: JS/TS teams that need a fast chat UI and are handling backend infra separately.
Our take
Match the boilerplate to the layer you actually need help with. If you need a production backend (auth, billing, rate limiting) around your AI feature, FastAPI AI Kit covers that specifically. If you need chain/agent orchestration, LangServe is more flexible. If you need a chat UI fast, the Vercel AI SDK templates are the quickest path — but none of these three substitute for the others.
If FastAPI AI Kit fits your use case
The production-ready FastAPI + AI boilerplate and starter kit. Skip 60+ hours of setup. JWT auth, LLM integration, RAG pipeline, billing hooks, Docker — ready to deploy.
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