GPT-6 Luna API：工单分类与 JSON 字段提取

curl --fail-with-body --max-time 180 https://api.apizt.com/v1/responses \
  -H "Authorization: Bearer $tokenba_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"gpt-6-luna","input":"把下面工单分类为 billing、integration、account、other 中的一项，输出三行：category、needs_human、reason。规则：涉及退款或账号身份时 needs_human=true。工单：SDK 返回 401，我刚轮换了 Key，base_url=https://api.apizt.com/v1，模型调用前没有更新服务器环境变量。不要要求提供完整 Key。","reasoning":{"effort":"none"},"max_output_tokens":1024,"store":false}' \
  -o response.json &&
python3 - <<'PY'
import json
with open("response.json", encoding="utf-8") as file:
    result = json.load(file)
print("status:", result.get("status"), "usage:", result.get("usage"))
if result.get("status") != "completed":
    raise SystemExit(result.get("incomplete_details") or result.get("error") or "请求未完成")
texts = [part["text"] for item in result.get("output", []) if item.get("type") == "message" for part in item.get("content", []) if part.get("type") == "output_text"]
if not texts:
    raise SystemExit("响应没有可见文本，请检查 output 中的拒绝或工具调用")
print("\n".join(texts))
PY

import json
import os
from openai import OpenAI

client = OpenAI(api_key=os.environ["tokenba_API_KEY"], base_url="https://api.apizt.com/v1")
schema = {
    "type": "object",
    "properties": {
        "product": {"type": "string"},
        "quantity": {"type": "integer"},
        "missing_fields": {"type": "array", "items": {"type": "string"}},
    },
    "required": ["product", "quantity", "missing_fields"],
    "additionalProperties": False,
}
response = client.responses.create(
    model="gpt-6-luna",
    input="客户消息：需要 12 个白色马克杯，周五发货。提取商品、数量和缺失的收货信息，不推断地址或电话。",
    reasoning={"effort": "none"},
    text={"format": {"type": "json_schema", "name": "order_request", "strict": True, "schema": schema}},
    max_output_tokens=1024,
    store=False,
)
print("status:", response.status, "usage:", response.usage)
if response.status != "completed" or not response.output_text:
    raise RuntimeError("提取未完成，检查 incomplete_details、error 或拒绝")
order = json.loads(response.output_text)
if order["quantity"] != 12:
    raise ValueError("数量与输入不一致")
print(order)