openai-api

Chat Completions API lets you build conversational systems using GPT-5, GPT-4o, and GPT-4 Turbo models. Install the OpenAI SDK, set your API key as an environment variable, and call the chat endpoint with your messages and model choice to get responses.

Yes, function calling and structured outputs with JSON schemas are supported across GPT-5, GPT-4o, and GPT-4 Turbo. Define your functions or schemas, pass them to the API, and the model returns structured data you can parse directly into your application logic.

Streaming via Server-Sent Events (SSE) lets you receive tokens incrementally instead of waiting for full responses. Enable streaming in your request, listen for SSE events, and process each token as it arrives for real-time user feedback.

This covers embeddings for semantic search and retrieval, DALL-E 3 for image generation and editing, Whisper for audio transcription, text-to-speech synthesis, and Moderation for content filtering across your workflows.

Production-ready error handling includes rate limit detection, retry logic, and timeout management. Monitor response status codes and headers, implement exponential backoff for retries, and configure timeout thresholds appropriate for your use case.

Yes, this skill covers edge-runtime deployments, allowing you to run OpenAI integrations on serverless and edge platforms. Ensure your environment supports HTTP requests and environment variable configuration for API keys.