{
  "slug": "openai-platform",
  "name": "OpenAI API",
  "aliases": ["OpenAI Platform", "OpenAI Developer Platform", "platform.openai.com"],
  "vendor": { "name": "OpenAI", "slug": "openai", "website": "https://developers.openai.com/api/docs" },
  "homepage_url": "https://developers.openai.com/api/docs",
  "docs_url": "https://developers.openai.com/api/docs",
  "repo_url": "https://github.com/openai/openai-python",
  "pricing_url": "https://developers.openai.com/api/docs/pricing",
  "product_type": "platform",
  "product_status": "active",
  "summary": "OpenAI's hosted developer platform: Responses and Chat Completions APIs, Realtime voice, embeddings, images, audio, fine-tuning, evals and managed agents",
  "description": "The OpenAI API is the developer platform through which OpenAI exposes its GPT, reasoning, image, audio and embedding models as metered HTTP services. The documentation now lives at developers.openai.com; the older platform.openai.com address remains the account console. It is a cloud-only, usage-billed service aimed at software teams who want to integrate language and multimodal models into applications without operating any model infrastructure.\n\nThe primary interface is the Responses API, which replaced the Assistants API and layers built-in tools (web search, file search, code interpreter, computer use, image generation, remote MCP servers) on top of model calls. Chat Completions remains available for compatibility and is widely imitated by other vendors, which makes the OpenAI request format a de facto standard for inference servers such as vLLM, Ollama and llama.cpp. Further endpoints cover the Realtime API for speech-to-speech sessions over WebRTC, WebSocket or SIP, embeddings, image generation and editing, transcription and text-to-speech, supervised, preference and reinforcement fine-tuning, batch and flex processing at lower priority, prompt caching, structured outputs, webhooks and an evals and graders service. An Agents SDK (Python and TypeScript) and a managed Agents API with sandboxes and sessions sit above the raw endpoints, and admin APIs, role-based access control and a Terraform provider cover organization management.\n\nOfficial SDKs exist for Python and Node, with others listed in the docs, plus an OpenAI CLI. Practical limits are those of any proprietary hosted API: model behavior and availability change on the vendor's schedule, rate limits and spend limits must be managed per organization, data handling is governed by OpenAI's terms rather than your own infrastructure, and there is no on-premises option. Note that openai.com and platform.openai.com return 403 to non-browser clients, which affects automated link checking.",
  "capabilities": ["Responses API with built-in tools (web search, file search, code interpreter, computer use, MCP)", "Chat Completions endpoint that other vendors emulate", "Realtime API for low-latency speech-to-speech over WebRTC, WebSocket or SIP", "Embeddings, image generation and editing, transcription and text-to-speech", "Supervised, DPO and reinforcement fine-tuning", "Batch and flex processing, prompt caching and structured outputs", "Evals and graders, webhooks, admin APIs and Terraform provider", "Agents SDK and managed Agents API with sandboxes and sessions"],
  "workflows": ["Add a chat or extraction feature to an application through the Responses API", "Build a tool-using agent with the Agents SDK and trace it in the dashboard", "Run large offline classification jobs through the Batch API", "Fine-tune a smaller model on domain data and route traffic to it"],
  "advantages": ["Broad model lineup across text, reasoning, vision, audio and images behind one account", "Request format widely supported by third-party tools and gateways", "Mature SDKs, documentation and cookbook", "Built-in hosted tools reduce the amount of orchestration code to write"],
  "limitations": ["Cloud-only; no self-hosted or on-premises deployment", "Models and endpoints are retired on the vendor's schedule (e.g. Assistants API)", "Costs scale with token volume and must be governed with spend limits", "Marketing and console pages block automated clients, complicating link monitoring"],
  "prerequisites": ["OpenAI account with billing enabled and an API key", "Python or Node runtime for the official SDKs, or any HTTP client"],
  "audiences": ["Application developers integrating LLM features", "Teams building agents and automations", "Researchers who need hosted frontier models through an API"],
  "alternatives": ["claude-developer-platform", "gemini-api", "mistral-ai", "openrouter", "together-ai"],
  "comparison_notes": "The Claude Platform (Anthropic) and the Gemini API (Google) are the closest hosted equivalents, each with its own request schema and tool-calling conventions; Anthropic additionally offers Managed Agents and Google ties its API to AI Studio and Vertex AI. Mistral AI publishes open-weight models alongside its API. OpenRouter and Together AI are aggregators or open-model hosts that accept the OpenAI request format, which is why many teams prototype against OpenAI and later swap the base URL.",
  "categories": [{ "slug": "model-providers", "primary": true }, { "slug": "agent-frameworks", "label": "Agents SDK and managed Agents API" }, { "slug": "speech-vision-multimodal", "label": "Realtime, audio and image endpoints" }],
  "tags": ["llm", "api", "agents", "embeddings", "speech", "images", "python", "typescript"],
  "use_cases": ["build-agents", "write-code-with-ai", "evaluate-llm-apps", "fine-tune-models"],
  "operating_systems": ["any"],
  "execution_modes": ["cloud"],
  "interfaces": ["api", "sdk", "web", "cli"],
  "deployment_models": ["saas"],
  "integrations": ["LangChain", "LlamaIndex", "LiteLLM", "Vercel AI SDK", "Model Context Protocol", "Terraform"],
  "data_formats": ["JSON", "JSON Schema (structured outputs)", "JSONL (batch, fine-tuning)", "Audio (WAV, MP3, Opus)", "Images (PNG, JPEG, WebP)"],
  "languages": ["Python", "TypeScript", "JavaScript"],
  "source_model": "proprietary",
  "pricing_model": ["usage-based", "enterprise"],
  "pricing_checked_at": "2026-11-02",
  "self_hostable": false,
  "sources": [
    { "url": "https://developers.openai.com/api/docs", "type": "official_site", "title": "OpenAI API docs", "supports": ["name", "summary", "capabilities", "interfaces"], "checked_at": "2026-11-02", "note": "developers.openai.com is the current documentation host; platform.openai.com returns 403 to automated clients" },
    { "url": "https://developers.openai.com/api/docs/pricing", "type": "pricing_page", "supports": ["pricing_model"], "checked_at": "2026-11-02" },
    { "url": "https://github.com/openai/openai-python", "type": "repository", "title": "openai-python (Apache-2.0 SDK)", "supports": ["languages", "interfaces"], "checked_at": "2026-11-02" }
  ],
  "confidence": "high",
  "uncertainty_note": "The marketing site openai.com and the console platform.openai.com answer 403 to non-browser user agents; verification relied on developers.openai.com and the SDK repository.",
  "discovery_method": "editorial-research",
  "depth": "deep",
  "editorial_status": "reviewed",
  "visibility": "public",
  "featured": false,
  "author": "batch-A"
}