deepseek

# DeepSeek on RunAPI DeepSeek on RunAPI exposes **OpenAI-compatible Chat Completions and Responses** plus **Anthropic-compatible Messages**. Use the OpenAI SDK for most integrations, or point Anthropic-compatible clients at `https://runapi.ai` when the existing application already speaks `/v1/messages`. ## 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>. ## OpenAI-compatible setup ```python from openai import OpenAI client = OpenAI( api_key="YOUR_RUNAPI_TOKEN", base_url="https://runapi.ai/v1", ) ``` ```typescript import OpenAI from "openai"; const client = new OpenAI({ apiKey: "YOUR_RUNAPI_TOKEN", baseURL: "https://runapi.ai/v1", }); ``` ## Core recipe - Chat Completions ```python response = client.chat.completions.create( model="deepseek-v4-pro", messages=[{"role": "user", "content": "Explain vector databases simply."}], ) print(response.choices[0].message.content) print(response.usage) ``` ```typescript const response = await client.chat.completions.create({ model: "deepseek-v4-pro", messages: [{ role: "user", content: "Explain vector databases simply." }], }); ``` ## Responses API - one Flash function `deepseek-v4-flash` supports one custom function with automatic selection. Do not send `tool_choice`. ```python tool = { "type": "function", "name": "get_weather", "description": "Get weather for a city", "parameters": { ...