Topic
Java LLM API Integration
13 posts on java llm api integration — part of api integration on the n4n AI blog.
Unit testing LLM API calls in Java with WireMock
Step-by-step java wiremock llm api testing tutorial: mock LLM endpoints in Java, inject faults, and validate retry and parsing logic safely.
Streaming OpenAI responses in Java with server-sent events
Learn how to implement java sse openai streaming in a plain Java HTTP client, parse Server-Sent Events, and handle token deltas end to end.
Retrofit for LLM API integration in Java
Hands-on tutorial to build a Retrofit Java LLM API client for OpenAI-compatible endpoints, with auth, streaming, error handling, and fallback.
Parsing OpenAI JSON responses in Java with Jackson
A hands-on tutorial for Java engineers parsing OpenAI API JSON responses with Jackson: model the chat completion schema, handle streaming, and avoid pitfalls.
OkHttp vs java.net.http for calling LLM APIs in Java
Head-to-head comparison of OkHttp vs java.net.http llm api clients in Java: capabilities, latency, ergonomics, ecosystem, limits, and verdict.
Maven setup for an OpenAI-compatible Java client
Set up a maven openai compatible java client with this step-by-step guide: dependencies, base URL config, sample code, and verification.
LangChain4j vs raw HTTP calls for Java LLM integration
A pragmatic head-to-head comparison of LangChain4j vs raw HTTP Java for LLM integration across capabilities, cost, latency, ergonomics, and limits.
Java virtual threads for concurrent LLM API calls
Practical guide to Java virtual threads for concurrent LLM API calls: executor setup, structured concurrency, pinning pitfalls, and rate-limit tradeoffs.
Handling rate limits in Java LLM API clients
Learn how to build resilient Java LLM API clients for java rate limit llm api scenarios using retry, backoff, and fallback patterns in production.
Connection pooling for high-throughput LLM calls in Java
Practical guide to java connection pooling llm api calls: configure Apache HttpClient or OkHttp for high throughput, avoid socket leaks, and tune pools.
Building an async LLM client in Java with CompletableFuture
Build a non-blocking Java LLM client with CompletableFuture and HttpClient. Step-by-step async patterns for retries, fan-out, and timeouts.
Switching from OpenAI's Java SDK to n4n in 5 minutes
Step-by-step guide to switch OpenAI Java SDK to n4n in 5 minutes: repoint base URL, map models, add routing headers, and verify with a smoke test.
Calling the OpenAI API from Java with HttpClient
Hands-on tutorial: call the OpenAI API from Java with the standard HttpClient. Build a minimal chat client with JSON parsing, retries, and streaming.
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