Kimi K3 API 大语言模型

curl -s -X POST https://api.genmux.tech/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"kimi-k3","messages":[{"role":"system","content":"You are a concise assistant."},{"role":"user","content":"Explain idempotency keys in two sentences."}],"max_tokens":200}'

{
  "id": "0d8b6a3e-2f1c-4a5b-9c1d-7e2f3a4b5c6d",
  "object": "chat.completion",
  "created": 1756411279,
  "model": "kimi-k3",
  "choices": [
    {"index": 0, "message": {"role": "assistant", "content": "…"}, "finish_reason": "stop"}
  ],
  "usage": {"prompt_tokens": 31, "completion_tokens": 58, "total_tokens": 89, "cost": 0.063, "cost_source": "vendor"}
}

curl -sN -X POST https://api.genmux.tech/v1/chat/completions \
  -H "Authorization: Bearer $API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"kimi-k3","messages":[{"role":"system","content":"You are a concise assistant."},{"role":"user","content":"Explain idempotency keys in two sentences."}],"max_tokens":200,"stream":true}'

data: {"id":"0d8b6a3e-…","object":"chat.completion.chunk","model":"kimi-k3","choices":[{"index":0,"delta":{"role":"assistant","content":"An"},"finish_reason":null}]}

data: {"id":"0d8b6a3e-…","object":"chat.completion.chunk","model":"kimi-k3","choices":[{"index":0,"delta":{"content":" idempotency"},"finish_reason":null}]}

…

data: {"id":"0d8b6a3e-…","object":"chat.completion.chunk","model":"kimi-k3","choices":[{"index":0,"delta":{},"finish_reason":"stop"}]}

data: {"id":"0d8b6a3e-…","object":"chat.completion.chunk","model":"kimi-k3","choices":[],"usage":{"prompt_tokens":31,"completion_tokens":58,"total_tokens":89,"cost":0.063,"cost_source":"estimated"}}

data: [DONE]

import os
from openai import OpenAI

client = OpenAI(base_url="https://api.genmux.tech/v1", api_key=os.environ["API_KEY"])

completion = client.chat.completions.create(
    model="kimi-k3",
    messages=[
        {"role": "system", "content": "You are a concise assistant."},
        {"role": "user", "content": "Explain idempotency keys in two sentences."},
    ],
    max_tokens=200,
)

print(completion.choices[0].message.content)
print(completion.usage.total_tokens, "tokens,", completion.usage.model_extra["cost"], "credits")

import OpenAI from "openai";

const client = new OpenAI({ baseURL: "https://api.genmux.tech/v1", apiKey: process.env.API_KEY });

const completion = await client.chat.completions.create({
  model: "kimi-k3",
  messages: [
    { role: "system", content: "You are a concise assistant." },
    { role: "user", content: "Explain idempotency keys in two sentences." },
  ],
  max_tokens: 200,
});

console.log(completion.choices[0].message.content);
console.log(completion.usage.total_tokens, "tokens,", completion.usage.cost, "credits");

// Streaming: the final chunk carries usage
const stream = await client.chat.completions.create({
  model: "kimi-k3",
  messages: [{ role: "user", content: "Explain idempotency keys in two sentences." }],
  stream: true,
});
for await (const chunk of stream) {
  process.stdout.write(chunk.choices[0]?.delta?.content ?? "");
  if (chunk.usage) console.log(`\n${chunk.usage.total_tokens} tokens, ${chunk.usage.cost} credits`);
}

import os
from openai import OpenAI

client = OpenAI(base_url="https://api.genmux.tech/v1", api_key=os.environ["API_KEY"])

stream = client.chat.completions.create(
    model="kimi-k3",
    messages=[{"role": "user", "content": "Explain idempotency keys in two sentences."}],
    max_tokens=200,
    stream=True,
)

for chunk in stream:
    if chunk.choices and chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="", flush=True)
    if chunk.usage:  # the last chunk: token counts and the credits charged
        print(f"\n{chunk.usage.total_tokens} tokens, {chunk.usage.model_extra['cost']} credits")