kimi

# Kimi on RunAPI Use the official **OpenAI SDK** or any OpenAI-compatible HTTP client and switch the base URL to `https://runapi.ai/v1`. The primary endpoint is Chat Completions (`POST /v1/chat/completions`). ## 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>. ## 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="kimi-k3", messages=[{"role": "user", "content": "Explain this code review finding."}], ) print(response.choices[0].message.content) print(response.usage) ``` ```typescript import OpenAI from "openai"; const client = new OpenAI({ apiKey: "YOUR_RUNAPI_TOKEN", baseURL: "https://runapi.ai/v1", }); const response = await client.chat.completions.create({ model: "kimi-k3", messages: [{ role: "user", content: "Explain this code review finding." }], }); ``` ## Streaming ```python stream = client.chat.completions.create( model="kimi-k2.5", messages=[{"role": "user", "content": "Write a compact changelog."}], stream=True, ) for chunk in stream: delta = chunk.choices[0].delta.content if delta: print(delta, end="", flush=True) ``` Streaming runs through a regional edge proxy so the request does not hold a Rails/Puma thread. Long generations should always stream. ## Protocol co...