TypeSafe使用 Jev 评估结构化问题
/systemone使用 TypeSafe Jev 对文本和 JSON 证据进行分类、评分或验证。针对同一状态批量提出具名问题，获取各问题的决策和概率。
- 最近 7 天完成的调用
- 0
统计不包含取消的调用。执行时间仅统计成功调用。
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通过你的 Agent 使用
请安装 https://www.agentrouter.to/SKILL.md，然后通过 AgentRouter 使用 TypeSafe 的 /systemone 接口。
输入参数
state必填- 所有问题共用的文本或结构化 JSON。
questions必填- 为各问题命名并填写指令。是/否概率使用 noul，具名选项使用 choice，有序等级使用 score。
输入示例
{
"state": {
"ticket": "I see two charges for the same order. Please refund one."
},
"questions": {
"duplicate": {
"type": "noul",
"instructions": "Does the customer report a duplicate charge?"
},
"team": {
"type": "choice",
"instructions": "Which team should handle this?",
"criteria": {
"billing": "Payments or refunds",
"technical": "Product failures"
}
},
"urgency": {
"type": "score",
"instructions": "Rate the urgency.",
"criteria": [
"Routine request",
"Needs prompt attention",
"Immediate outage"
]
}
}
}输出
解析后采用的模型，以及按问题 ID 组织的答案。Noul 返回肯定答案的概率。Choice 和 score 包含概率分布及置信度。Usage 报告输入和输出 token 数。