Topic
TypeScript Typed LLM API Clients
13 posts on typescript typed llm api clients — part of api integration on the n4n AI blog.
Typing token usage and cost fields in TypeScript
Learn how to model TypeScript token usage cost types for LLM API clients with strict interfaces, runtime validation, and accurate billing math.
TypeScript unions for streaming and non-streaming responses
Learn how to model TypeScript union types for streaming and non-streaming LLM responses with discriminated unions, overloads, and type guards in practice.
TypeScript types for OpenAI function calling and tools
Learn how to build type-safe TypeScript OpenAI function calling types for tool schemas and handlers, with runnable code and verification steps.
Type-safe streaming with async generators in TypeScript
Learn to build type-safe LLM streaming clients in TypeScript using async generators, with runnable code for OpenAI-compatible endpoints.
Strict null checks for optional LLM API fields
Practical guide to TypeScript strict null checks for optional LLM API fields: build typed clients, avoid pitfalls, and handle missing data safely.
OpenAI and Anthropic TypeScript interfaces compared
Practical comparison of OpenAI vs Anthropic TypeScript types and SDK ergonomics, cost, latency, and limits for engineers building LLM apps with code.
Narrowing LLM error responses with TypeScript type guards
Learn how to build TypeScript type guards for LLM error responses to safely narrow API failures and handle provider-specific errors in code.
Inferring response types from Zod in a TypeScript SDK
Learn how to use Zod to infer TypeScript SDK types from API response schemas, eliminating duplicate type definitions in your LLM client.
Generic TypeScript types for multi-provider LLM clients
A practical guide to designing TypeScript generics for LLM clients that span multiple providers, with reusable code patterns for request, response, and streaming typing.
Building a typed fetch wrapper for chat completions
A hands-on tutorial for building a TypeScript typed fetch wrapper for chat completions with full type safety, retries, and minimal dependencies.
Zod schemas for validating LLM API responses
Learn how to use Zod schemas for zod llm api response validation in TypeScript, with step-by-step code to parse and type-check LLM outputs safely.
Typing OpenAI chat completion requests in TypeScript
Learn how to strictly type OpenAI chat completion requests and responses in TypeScript, using official SDK types and safe extensions for routing.
Building a typed OpenAI-compatible SDK from scratch
A hands-on tutorial for building a typed TypeScript OpenAI-compatible SDK from scratch, with runnable code, typing patterns, and real API calls.
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