description OpenAI API Overview
Developers use the OpenAI API to add hosted AI capabilities to software through programmatic requests. Its language models can generate text and assist with reasoning or coding, while embedding models turn text into numerical representations useful for search and related tasks. Available capabilities depend on the model and endpoint selected, so the API is a collection of tools rather than one fixed intelligence level. It suits teams building chatbots or adding language-based features to existing applications without hosting the underlying models themselves.
Developers remain responsible for connecting those capabilities to application logic and checking whether outputs meet their needs. The service is not a complete platform for managing every stage of a machine-learning system. Its defining role is providing direct access to hosted models, with suitability determined by testing against a specific task.
help OpenAI API FAQ
What can developers build with the OpenAI API?
Developers use the OpenAI API for chatbots, coding assistants, search, document analysis, voice features, and image-related workflows. The API is accessed over HTTPS and supports structured app integration rather than only a chat interface.
Does the OpenAI API support function calling or tool use?
Yes. OpenAI's API supports structured tool calling so applications can connect model responses to code, databases, and external services. That is a common pattern for agents and workflow automation.
How is the OpenAI API different from ChatGPT?
ChatGPT is the end-user app, while the OpenAI API is for developers building their own products. API usage is usually billed separately from consumer ChatGPT subscriptions.
Can the OpenAI API return structured JSON?
Yes. OpenAI offers structured output features that let developers request JSON matching a schema. That is useful for extraction, classification, and backend workflows where free-form prose would be hard to parse.
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