liveBook · Manning

Api integration

API integration is the connection of software components through application programming interfaces so they can exchange data or invoke functionality.

How 2 Manning books explain it

Build AI-Enhanced Web Apps

The connection of an application to external application programming interfaces to access their functionality or data.

How it is used
Connects generative AI web applications to external providers, model capabilities, and supporting data or functionality.
How deep it goes
Explains pipelines, provider abstraction, streaming concerns, and integration guidelines without detailing provider-specific request implementations.
Examples
Uses JavaScript, React, Next.js, Vercel AI SDK, generateText, streamText, useChat, and useCompletion as integration examples.
What you can do after
Apply it via Next.js and the Vercel AI SDK to connect applications with AI providers and deliver generated or streamed responses.

Read how Build AI-Enhanced Web Apps explains api integration →

The Art of AI Product Development

API integration is the incorporation of functionality or data from a software service through its application programming interface.

How it is used
Connects pretrained AI models and existing components to user-facing products, applications, and workflows.
How deep it goes
Positions integration as a practical AI-engineering task but stops short of detailed implementation code or deployment procedures.
Examples
Uses the OpenAI API, LangChain, Hugging Face, vector databases, production systems, and AI-powered workflows as concrete integration contexts.
What you can do after
Apply it via named AI tools to build production applications and optimize model interactions.

Read how The Art of AI Product Development explains api integration →

Related concepts

These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.