GPT-6 Astra API：复杂分析与证据核对

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-astra","input":"为一个订单事件系统做架构决策：峰值 3000 事件/秒，单事件 2KB，消费者允许 10 秒延迟，必须按订单有序，允许消费者重放 7 天，团队只有 3 人。比较 PostgreSQL outbox+队列与 Kafka 两个方案，列出故障恢复、重复消息处理、容量估算假设、运维负担和一个可反驳的选择理由。不要把端到端 exactly-once 当成无需实现的保证。","reasoning":{"effort":"medium"},"max_output_tokens":8192,"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 os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["tokenba_API_KEY"],
    base_url="https://api.apizt.com/v1",
)
response = client.responses.create(
    model="gpt-6-astra",
    input="只用以下资料制作上线决策证据表。A：压测在 50 并发下 p95=1.2 秒，未测峰值。B：生产目标峰值 500 并发、p95<2 秒。C：一次故障演练发现数据库连接池耗尽，恢复耗时 9 分钟。输出已证明、未证明、相互冲突三类发现，逐条标注 A/B/C，给出最小补测计划和放行条件。不要编造 500 并发下的延迟。",
    reasoning={"effort": "medium"},
    max_output_tokens=8192,
    store=False,
)
print("status:", response.status, "usage:", response.usage)
if response.status != "completed":
    raise RuntimeError(str(response.incomplete_details or response.error))
if not response.output_text:
    raise RuntimeError("响应没有可见文本，请检查拒绝或工具调用")
print(response.output_text)