Topic
Spring Boot AI Integration
12 posts on spring boot ai integration — part of api integration on the n4n AI blog.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
More topics in api integration
- Function Calling Fundamentals27
- Structured Outputs & JSON Mode19
- cURL LLM API Cookbook15
- Integrating GPT-5, Claude Opus 4.8, Gemini 3, Llama 4 & More via One API15
- Next.js AI Chat Integration (App Router + Vercel AI SDK)15
- FastAPI LLM Backend Integration14
- Go net/http LLM API Client14
- LangChain + OpenAI-Compatible Gateway Integration14
- Node.js OpenAI-Compatible SDK Integration14
- Python + OpenAI-Compatible SDK Integration14
- Rate Limits, Retries & Backoff Strategies14
- React Streaming Chat UI Patterns14