gptlisted

# GPT on RunAPI Use the official **OpenAI SDK** (Python, TypeScript, Ruby) — or any OpenAI-compatible HTTP client — and switch the base URL to `https://runapi.ai/v1`. The endpoints speak the standard OpenAI protocol: **Chat Completions** (`POST /v1/chat/completions`) and the **Responses API** (`POST /v1/responses`). No client code changes beyond `base_url` and `api_key`. ## Setup ```dotenv OPENAI_API_KEY=YOUR_RUNAPI_TOKEN OPENAI_BASE_URL=https://runapi.ai/v1 ``` Get a RunAPI API Key at <https://runapi.ai/api_keys>. | Language | Init | |---|---| | Python | `OpenAI(api_key=..., base_url="https://runapi.ai/v1")` | | TypeScript | `new OpenAI({ apiKey: ..., baseURL: "https://runapi.ai/v1" })` | | Ruby | `OpenAI::Client.new(access_token: ..., uri_base: "https://runapi.ai/v1")` | | curl | `POST https://runapi.ai/v1/chat/completions` (or `/v1/responses`) | ## Pick the right endpoint | Model | Endpoint to use | |---|---| | `gpt-5.2`, `gpt-5.4`, `gpt-5.4-mini`, `gpt-5.4-nano`, `gpt-5.5`, `gpt-5.3-codex`, `gpt-5.3-codex-spark` | Chat Completions **or** Responses | | `gpt-5.2-pro`, `gpt-5.4-pro`, `gpt-5.5-pro` | Responses **only** (per OpenAI) | ## Core recipe — Chat Completions ```python from openai import OpenAI client = OpenAI(api_key="YOUR_RUNAPI_TOKEN", base_url="https://runapi.ai/v1") response = client.chat.completions.create( model="gpt-5.4", messages=[{"role": "user", "content": "Explain quantum computing simply."}], reasoning_effort="high", ) print(respons