Kimi API Skill for RunAPI

Configure OpenAI-compatible clients to use Kimi models on RunAPI.

Model Reference | Skill Repo | All Models

Call the Kimi API through RunAPI with the official OpenAI SDK or any OpenAI-compatible client. Point clients at https://runapi.ai/v1, send kimi-k3, kimi-k2.7-code, kimi-k2.6, or kimi-k2.5, and pay through one RunAPI balance. This skill teaches Claude Code, Codex, Gemini CLI, Cursor, and 50+ agents how to wire Kimi requests through RunAPI.

The canonical agent file is skills/kimi/SKILL.md.

Install the skill

npx skills add runapi-ai/kimi -g

Or paste this prompt to your AI agent:

Install the kimi skill for me:

1. Clone https://github.com/runapi-ai/kimi
2. Copy the skills/kimi/ directory into your
   user-level skills directory (e.g. ~/.claude/skills/
   for Claude Code, ~/.codex/skills/ for Codex).
3. Verify that SKILL.md is present.
4. Confirm the install path when done.

Use Kimi on RunAPI

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": "Hello, Kimi!"}],
)
print(response.choices[0].message.content)

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-k2.5",
  messages: [{ role: "user", content: "Hello, Kimi!" }],
});
console.log(response.choices[0].message.content);

Get a RunAPI API Key at https://runapi.ai/api_keys.

Supported Kimi models

Model ID	Notes
kimi-k3	Current flagship with always-on reasoning; basic text requests only
kimi-k2.7-code	Dedicated coding model with always-on thinking
kimi-k2.6	Latest Kimi K2 chat workloads
kimi-k2.5	Kimi K2.5 compatibility

K3 and K2.7 Code capability boundary

RunAPI supports basic text, final answers, canonical reasoning/cache Usage, and automatic cache handling for kimi-k3 and kimi-k2.7-code across Chat Completions, Responses, Messages, and Gemini native. Raw reasoning_content is not returned.

Tools and tool history, multimodal content, structured output, explicit cache controls, stateful continuation, signed thoughts, and explicit reasoning controls are not currently accepted by RunAPI. Omit sampling controls, or use temperature=1.0, top_p=0.95, n=1, presence_penalty=0, and frequency_penalty=0. Keep requested output at or below 131072 tokens for kimi-k3 and 32768 tokens for kimi-k2.7-code. For Chat Completions, send either max_tokens or max_completion_tokens, never both.

Routing

• Kimi API on RunAPI: https://runapi.ai/models/kimi
• Provider page: https://runapi.ai/providers/moonshot-ai
• Browse the full RunAPI catalog: https://runapi.ai/models
• Skill repository: https://github.com/runapi-ai/kimi

Agent rules

• Keep API keys in OPENAI_API_KEY or your secret manager; never inline them in commits or shell history.
• Stream long responses (stream: true) so the agent can release the terminal/IO loop early.
• For pricing, rate-limit, and commercial-usage answers, link to https://runapi.ai/models/kimi rather than this README.

License

Licensed under the Apache License, Version 2.0.