Models & Tools

AI API

An AI API is a programming interface that enables applications to access AI model capabilities — sending requests and receiving AI-generated responses without managing the underlying model infrastructure.

What Is an AI API?

An AI API (Application Programming Interface) is the endpoint through which software applications send data to AI models and receive responses — abstracting away the complexity of model hosting, scaling, and management. Examples include OpenAI's API, Anthropic's API, Google's Vertex AI, and AWS Bedrock.

How Do Businesses Use AI APIs?

AI APIs are the building blocks of business AI applications. Your customer service bot calls an LLM API to generate responses. Your document processor calls an API to extract information. Your analytics tool calls an API to summarize data. The key decisions are: which provider, which model tier, how to handle rate limits and failures, and how to control costs. An AI gateway helps manage multiple API providers centrally.

AI APImodel APIAPI integration

Related Terms

AI Gateway

An AI gateway is a centralized entry point that manages all AI model traffic for an organization — providing unified authentication, rate limiting, cost tracking, and model routing.

Function Calling

Function calling enables AI models to invoke external tools and APIs — reading databases, sending emails, updating CRMs — transforming language models from text generators into action-taking agents.

Large Language Model (LLM)

A large language model is an AI system trained on massive text datasets that can understand, generate, and reason about human language — the technology behind ChatGPT, Claude, and Gemini.

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