github 上看到有人放出来了 GROK3 deepsearch 的 PROMPT

不知道真假。。但是我本地测试了下,好像不太行啊。。有佬能掏出 GROK3 的 PROMPT 吗

25 Likes

还不出grok3 api​:enraged_face:

2 Likes

感谢分享,已经copy下来了,好好学习钻研一下

1 Like

居然被弄出来了

这类prompt要怎么用?直接设置系统提示词吗?

不太行是指什么,grok 3 基模 api 也没有放出来,它的网页搜索工具也没开源,顶多算是和你其他模型 api 适配性不足 :tieba_087:

有 api

api 还没开放啊

富可敌国里面有 re 的

各家的模型有各家的prompt,五花八门,缺少整合,都应该向人的多模态思维靠。

deepsearch的基座模型是grok3 thinking,是为了agent做过微调的,prompt只是实现的一部分,还有其他的技术进行调整适配,所以单用提示词肯定难达到相同水平,就像claude的mcp功能,属于模型自身能力,再怎么用prompt也达不到同样效果

各位申请了api的有什么动静没?

发现在流返回的数据中,有这么几种格式

{
  "result": {
      "response": {
          "token": "So",
          "isThinking": false,
          "isSoftStop": false,
          "messageTag": "assistant",
          "messageStepId": 1,
          "responseId": "xxxxxxxxx"
      }
  }
}
{
  "result": {
      "response": {
          "token": "Understanding the query",
          "isThinking": false,
          "isSoftStop": false,
          "messageTag": "header",
          "messageStepId": 2,
          "responseId": "xxxxxxxxx"
      }
  }
}
{
  "result": {
      "response": {
          "token": "- The request is about finding the current index value of the S\u0026P 500.\n",
          "isThinking": false,
          "isSoftStop": false,
          "messageTag": "summary",
          "messageStepId": 2,
          "responseId": "xxxxxxxxx"
      }
  }
}
{
  "result": {
      "response": {
          "token": "{\"action\": \"web_search\", \"action_input\": {\"query\": \"current index value of S\u0026P 500\"}}",
          "isThinking": false,
          "isSoftStop": false,
          "messageTag": "decision",
          "messageStepId": 3,
          "responseId": "xxxxxxxxx"
      }
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}{
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但是他网页上左右分栏思考节点内容的部分不知道咋搞的,没看到数据流。
点击显示思考过程上是完整的思考过程文字,和 tools function 结果一致。

有个有意思的是,在你 f12 看他完整数据流的时候,在他对话完成后,会贴心的自动帮你把 开发者控制台关闭 :rofl:

只要是 response 里面的messageTag 为 header,则会在左侧新增一个节点,接着继续返回 好像是这个样子 他的类型有如下:

"messageTag": "heartbeat",
"messageTag": "assistant",
"messageTag": "header",
"messageTag": "summary",
"messageTag": "decision",
"messageTag": "raw_function_result",

有点好玩