结构化输出（Structured Output）

response_format = {"type": "json_object"}

response_format = {
    "type": "json_schema",
    "json_schema": {
        "name": "city",
        "schema": {
            "type": "object",
            "properties": {
                "capital": {"type": "string"},
            },
            "required": ["capital"],
        },
    },
}

export API_KEY="YOUR_API_KEY"

import os
import json
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["API_KEY"],
    base_url="https://api.siflow.cn/model-api",
)

resp = client.chat.completions.create(
    model="MiniMaxAI/MiniMax-M2.7",
    messages=[
        {
            "role": "system",
            "content": "You are a helpful assistant designed to output JSON.",
        },
        {
            "role": "user",
            "content": "What is the capital of France? Please respond as {\"capital\": ...}",
        },
    ],
    response_format={"type": "json_object"},
    temperature=0.3,
    max_completion_tokens=256,
    stream=False,
)

raw = resp.choices[0].message.content
print("RAW:", raw)

try:
    data = json.loads(raw)
    print("PARSED:", data)
except json.JSONDecodeError:
    print("JSON parsing failed; retry with lower temperature or higher max_completion_tokens")

{"capital": "Paris"}

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["API_KEY"],
    base_url="https://api.siflow.cn/model-api",
)

response_format = {
    "type": "json_schema",
    "json_schema": {
        "name": "city",
        "schema": {
            "type": "object",
            "properties": {
                "capital": {"type": "string"},
            },
            "required": ["capital"],
        },
    },
}

resp = client.chat.completions.create(
    model="Qwen/Qwen3-32B",
    messages=[{"role": "user", "content": "Capital of France?"}],
    response_format=response_format,
)

print(resp.choices[0].message.content)