OpenAI API
The OpenAI API is a programming interface that allows software applications to send requests to OpenAI models and services and receive responses.
Starting Data Analytics with Generative AI and Python
A public programming interface that provides access to OpenAI artificial-intelligence models and services.
- How it is used
- Supports programmatic generative-AI tasks in data-analytics solutions, including preprocessing, insight generation, and visualization.
- How deep it goes
- Demonstrates Python setup and a multiturn request, then emphasizes formats, costs, errors, retries, and prompt refinement rather than advanced integration.
- Examples
- Uses Portuguese sentiment keywords, a science-explanation conversation, API client code, and environment-based API-key configuration.
- What you can do after
- Apply it via Python to send prompts, receive model responses, and build controlled analytics interactions.
Read how Starting Data Analytics with Generative AI and Python explains OpenAI API →
Software Testing with Generative AI
A web interface that provides programmatic access to OpenAI's artificial-intelligence models and services.
- How it is used
- Supports automated test-data generation by sending prompts to language models.
- How deep it goes
- Explains account setup, authentication, model selection, prompting, JSON parsing, and test integration without detailing HTTP internals.
- Examples
- Uses a structured contact-form prompt, generated JSON, Java deserialization, and a success-message assertion.
- What you can do after
- Build automated Java checks that generate and consume test data through LangChain4j.
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Learn Generative AI with PyTorch
An external programming interface used here to request text-to-speech conversion from OpenAI’s service.
- How it is used
- Uses Python programs to request generated content and connect language models with other services.
- How deep it goes
- Defines access modes, content types, API-key requirements, and integrations, but does not detail endpoints or parameters.
- Examples
- Demonstrates Python-based generation of text, images, speech, audio, and code.
- What you can do after
- Build content-generating Python programs using an OpenAI API key and combine them with external services.
Read how Learn Generative AI with PyTorch explains OpenAI API →
Generative AI in Action
The OpenAI API is a programming interface that provides access to OpenAI models and related services.
- How it is used
- Supports programmatic model access for text generation and other model-specific capabilities through OpenAI or Azure OpenAI endpoints.
- How deep it goes
- Covers dependencies, authentication, endpoint configuration, model discovery, and capability selection without developing model internals.
- Examples
- Uses AzureOpenAI Python code to list deployed models, persist model metadata, and print identifiers, statuses, and capabilities.
- What you can do after
- Operate/configure an OpenAI or Azure OpenAI client, inspect accessible models, and select a model for text generation.
Related concepts
- tool usageused by · Tool use is an AI system's invocation of external software functions, services, or other capabilities to obtain information or perform actions.
- Pythonused by · Python is a high-level, general-purpose, dynamically typed programming language known for readable syntax and automatic memory management.
- promptuses · An input, typically containing instructions or context, supplied to an artificial-intelligence model to guide or elicit its output.
- API keyconfigured by · An API key is a credential used to identify or authorize a client accessing an application programming interface.
- OpenAI Playgroundused by · OpenAI Playground is a web-based interface for interacting with and experimenting with OpenAI models, prompts, assistants, and generation settings.
- request messageuses · An HTTP request is a message sent by a client to a server that specifies a method and target and may include headers and a body.
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