Documentation Index
Fetch the complete documentation index at: /docs/llms.txt
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🎉 Kimi K3 旗舰模型已正式发布，快来体验吧！
reasoning_effort 配置 推理强度。该字段支持 "low" / "high" / "max" 三档，默认 "max"。
reasoning_effort：
{
"model": "kimi-k3",
"messages": [{"role": "user", "content": "请推导一下这个数列的通项公式：1, 4, 9, 25, 64, ..."}],
"reasoning_effort": "high"
}
thinking 配置，并按需使用顶层 reasoning_effort。
$ curl https://api.moonshot.cn/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $MOONSHOT_API_KEY" \
-d '{
"model": "kimi-k3",
"messages": [
{
"role": "user",
"content": "请推导一下这个数列的通项公式：1, 4, 9, 25, 64, ..."
}
],
"reasoning_effort": "high"
}'
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["MOONSHOT_API_KEY"],
base_url="https://api.moonshot.cn/v1",
)
completion = client.chat.completions.create(
model="kimi-k3",
messages=[
{"role": "user", "content": "请推导一下这个数列的通项公式：1, 4, 9, 25, 64, ..."},
],
reasoning_effort="high",
)
message = completion.choices[0].message
if hasattr(message, "reasoning_content"):
print(getattr(message, "reasoning_content"))
print(message.content)
| 字段 | 类型 | 必填 | 说明 |
|---|---|---|---|
reasoning_effort | string | 否 | K3 的顶层推理强度字段，支持 "low" / "high" / "max"，默认 "max"。 |
messages，包括 reasoning_content 和 tool_calls。
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