n4nAI

Topic

Spring Boot AI Integration

12 posts on spring boot ai integration — part of api integration on the n4n AI blog.

API integrationComparison

WebClient vs RestTemplate for LLM APIs in Spring Boot

Head-to-head comparison of WebClient vs RestTemplate for LLM API calls in Spring Boot: latency, ergonomics, cost, and which client to choose.

4 min read
API integrationHow-to

Testing Spring Boot LLM integrations with MockWebServer

Learn how to test Spring Boot LLM integrations deterministically with MockWebServer, simulating completions, errors, and streaming without live API calls.

3 min read
API integrationHow-to

Streaming chat completions in Spring Boot with WebFlux

Learn how to implement spring boot webflux streaming chat completions with an OpenAI-compatible API, including backpressure and SSE handling.

4 min read
API integrationTutorial

Spring Boot starter for OpenAI-compatible chat APIs

Build a reusable Spring Boot starter for OpenAI-compatible chat APIs with autoconfiguration, a typed client, and streaming support in this hands-on tutorial.

3 min read
API integrationGuide

Spring Boot health checks for LLM provider availability

Implement spring boot actuator llm health check patterns to monitor LLM provider availability, with code for custom indicators, fallback, and pitfalls.

4 min read
API integrationHow-to

Spring Boot @ConfigurationProperties for LLM providers

Step-by-step guide to using Spring Boot @ConfigurationProperties for multi-provider LLM setups, with code and verification for robust config.

3 min read
API integrationHow-to

Reactive retry logic for LLM calls in Spring Boot

Implement resilient spring boot reactive retry llm calls with Project Reactor, exponential backoff, and fallback to handle rate limits and outages.

4 min read
API integrationHow-to

Rate limiting outbound LLM calls in Spring Boot

Learn how to implement spring boot rate limiting llm calls with Bucket4j and WebClient, including 429 handling, retries, and verification tests.

3 min read
API integrationGuide

Dependency injection patterns for LLM clients in Spring Boot

Practical dependency injection patterns for LLM clients in Spring Boot, covering interfaces, factories, fallback, and config for robust AI integrations.

4 min read
API integrationHow-to

Configuring an LLM API key with Spring Boot application.yml

Step-by-step guide to set an LLM API key in Spring Boot application.yml using @ConfigurationProperties, environment variables, and a live verification test.

4 min read
API integrationTutorial

Spring AI: connecting to OpenAI-compatible APIs

Learn how to wire Spring AI to any OpenAI-compatible API, configure the chat client, and handle streaming, config, and fallback in a Spring Boot app.

3 min read
API integrationTutorial

Building a chatbot REST endpoint with Spring Boot and n4n

A practical step-by-step tutorial for building a Spring Boot chatbot REST endpoint with n4n's OpenAI-compatible LLM gateway, including config, Java code, and curl tests.

3 min read