Topic
Swift & iOS LLM Integration
12 posts on swift & ios llm integration — part of api integration on the n4n AI blog.
Unit testing LLM API calls in Swift with URLProtocol
Step-by-step swift urlprotocol llm api testing tutorial: stub ChatCompletions in XCTest, verify headers, and simulate token streaming for iOS apps.
Streaming chat completions in iOS with URLSession bytes
Learn how to implement ios urlsession bytes streaming to consume LLM chat completions in Swift, with runnable code and step-by-step integration guidance.
Storing LLM API keys securely in iOS Keychain
Learn how to implement secure ios keychain api key storage for LLM tokens in Swift, with runnable code and verification steps for production iOS apps.
Rate limit handling in Swift LLM API clients
Practical steps to build a Swift LLM API client that survives rate limits with retries, throttling, and fallback. Includes runnable Swift code.
Parsing LLM API responses in Swift with Codable
Hands-on tutorial: swift codable llm api parsing for iOS. Define Codable structs for OpenAI-style chat responses and decode JSON reliably.
Handling network errors in iOS LLM API integrations
Learn practical ios network error handling llm api techniques in Swift: retries, timeouts, decoding failures, and graceful degradation for shipping apps.
Combine vs async/await for Swift LLM API clients
Head-to-head comparison of Combine vs async await Swift LLM clients across streaming, cancellation, ergonomics, and cost. Which concurrency model fits your app.
Background URLSession tasks for long LLM requests
A practical guide to implementing iOS background URLSession tasks for long LLM requests: configure file-based upload tasks, handle delegates, and avoid pitfalls.
Calling the OpenAI API from Swift with URLSession
Hands-on Swift tutorial: call the OpenAI API from iOS with URLSession. Build a typed client, parse JSON, stream tokens, and handle errors. No third-party SDKs required.
Building an iOS chat app with n4n and SwiftUI
Step-by-step tutorial for building an iOS chat app with n4n and SwiftUI: SwiftUI views, async streaming via OpenAI-compatible API, and SSE parsing.
Building a SwiftUI chat interface for an LLM API
Step-by-step tutorial for building a SwiftUI chat interface for an LLM API on iOS, with networking, streaming, and state code.
Async/await for LLM API calls in Swift
Learn how to implement swift async await llm api calls in iOS apps with a practical step-by-step guide covering client setup, streaming, and error handling.
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