Kimi K2 Thinking API 가이드: 추론 상태를 유지하는 멀티 스텝 에이전트 구축

import json
import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.moonshot.ai/v1",
    api_key=os.environ["MOONSHOT_API_KEY"],
)

tools = [
    {
        "type": "function",
        "function": {
            "name": "search_docs",
            "description": "Search internal product documentation",
            "parameters": {
                "type": "object",
                "properties": {
                    "query": {"type": "string"}
                },
                "required": ["query"]
            }
        }
    }
]

messages = [
    {"role": "system", "content": "You are a careful research agent."},
    {"role": "user", "content": "Find the API limits for our billing service and summarize the risks."},
]

for _ in range(8):
    completion = client.chat.completions.create(
        model="kimi-k2-thinking",
        messages=messages,
        tools=tools,
        tool_choice="auto",
        temperature=1.0,
        max_tokens=16000,
    )

    message = completion.choices[0].message

    # Preserve the assistant turn exactly, including reasoning_content when present.
    messages.append(message.model_dump(exclude_none=True))

    if not message.tool_calls:
        print(message.content)
        break

    for tool_call in message.tool_calls:
        args = json.loads(tool_call.function.arguments)

        if tool_call.function.name == "search_docs":
            result = {"matches": ["rate_limit=500 rpm", "burst_limit=1000 rpm"]}
        else:
            result = {"error": "unknown tool"}

        messages.append(
            {
                "role": "tool",
                "tool_call_id": tool_call.id,
                "name": tool_call.function.name,
                "content": json.dumps(result),
            }
        )

from openai import OpenAI

client = OpenAI(
    base_url="https://api.evolink.ai/v1",
    api_key="YOUR_EVOLINK_API_KEY",
)

completion = client.chat.completions.create(
    model="kimi-k2-thinking",
    messages=[{"role": "user", "content": "Analyze the tradeoffs of event sourcing vs CRUD."}],
    temperature=1.0,
    max_tokens=16000,
)

openclaw onboard --auth-choice moonshot-api-key
openclaw models list
openclaw models set moonshot/kimi-k2-thinking
openclaw models status