SETTLEMENT TELEMETRY

Inference Log

MID: gtfG1AG0VAhHxmwk

Log MIDgtfG1AG0VAhHxmwk
Typechat_completion
Aliasdeepseek-v4-flash-g2 / gtNPvZSEVNq72rnw
Hostinforaxi-server:3300:v1.1.3736-1-gf63106d5c
Mode / Protoreq-v1-chatcmplopenai-chatcmpl
Vendor/LLMvolcengine-bizplan-dtx/deepseek-v4-flash-ga-260731
Statussuccess
User Pricing
109 × 1.8 = 0.000196
0 × 0.06 = 0.000000
367 × 5.4 = 0.001982
CNY 0.002178
Vendor Cost
109 × 1.2 = 0.000131
0 × 0.04 = 0.000000
367 × 3.6 = 0.001321
CNY 0.001452
Latency4.14266887s
Summary
{
  "system_prefix": null,
  "history_count": 1,
  "user_summary": {
    "text": "请详细回答以下问题:解释什么是递归,并举例说明。请展开论述,分点说明,条理清晰。",
    "has_image": false,
    "has_tool_result": false
  },
  "assistant_summary": {
    "text": "## 什么是递归\n\n递归(Recursion)是一种在数学和计算机科学中非常常见的方法,指一个函数(或过程)在定义或实现时,直接或间接地调用自身来解决更小规模的同类问题。递归的核心思想是“将大问题分解为结构相同、规模更小的子问题”,直到子问题简单到可以直接求解。\n\n递归通常包含两个关键部分:\n\n1.",
    "tool_calls": [],
    "stop_reason": "length"
  }
}
Stop Reasonlength
Vendor Request
Method: POST

URL: https://ark.cn-beijing.volces.com/api/v3/chat/completions

Headers:
{
  "authorization": "Bearer ark-f137c261-ce2c-4ac5-b065-fafb2270c3d7-1801e",
  "content-type": "application/json"
}

Body:
{
  "max_tokens": 300,
  "messages": [
    {
      "content": "请详细回答以下问题:解释什么是递归,并举例说明。请展开论述,分点说明,条理清晰。",
      "role": "user"
    }
  ],
  "model": "deepseek-v4-flash-ga-260731"
}
Vendor Response
Headers:
{
  "content-length": "2167",
  "content-type": "application/json; charset=utf-8",
  "date": "Sun, 30 Aug 2026 13:27:43 GMT",
  "server": "istio-envoy",
  "vary": "Accept-Encoding",
  "x-client-request-id": "unknown-20260830212740-pcMMqBWJ",
  "x-envoy-upstream-service-time": "4107",
  "x-request-id": "021788096460268fd0de7354b348b065f00b895e07126b83e07a3"
}

Body:
{
  "choices": [
    {
      "finish_reason": "length",
      "index": 0,
      "logprobs": null,
      "message": {
        "content": "## 什么是递归\n\n递归(Recursion)是一种在数学和计算机科学中非常常见的方法,指一个函数(或过程)在定义或实现时,直接或间接地调用自身来解决更小规模的同类问题。递归的核心思想是“将大问题分解为结构相同、规模更小的子问题”,直到子问题简单到可以直接求解。\n\n递归通常包含两个关键部分:\n\n1. **基线条件(Base Case)**:最小、最简单的情况,不再调用自身,直接返回结果。它是递归的终止条件,防止无限循环。\n2. **递归步骤(Recursive Step)**:把当前问题转化为更小的子问题,并通过调用自身来求解,最终将子问题的结果合并为原问题的答案。\n\n---\n\n## 递归的直观理解\n\n可以把递归想象成“套娃”或“俄罗斯方块嵌套”:\n\n- 要解决一个大问题,先把它拆成一个更小的同类问题;\n- 小问题再拆成更小的同类问题;\n- 直到小到一眼就能看出答案;\n- 然后逐层返回结果,最终得到大问题的解。\n\n这个过程包含两个阶段:\n\n- **递推(递下去)**:不断向基线条件靠近;\n- **回归(归回来)**:从基线条件开始,逐层计算结果并返回。\n\n---\n\n## 递归的经典例子\n\n### 例子1:阶乘(Factorial)\n\n数学定义:\n\n- \\(0! = 1\\)\n",
        "reasoning_content": "我们只需要回答用户问题。需要详细解释递归,举例说明,分点,条理清晰。用中文。递归定义:函数/过程直接或间接调用自身;需要基线条件和递归步骤。举例:阶乘、斐波那契、汉诺塔、目录遍历。展开论述。注意不要过度。",
        "role": "assistant"
      }
    }
  ],
  "created": 1788096464,
  "id": "021788096460268fd0de7354b348b065f00b895e07126b83e07a3",
  "model": "deepseek-v4-flash-ga-260731",
  "service_tier": "default",
  "object": "chat.completion",
  "usage": {
    "completion_tokens": 367,
    "prompt_tokens": 109,
    "total_tokens": 476,
    "prompt_tokens_details": {
      "cached_tokens": 0
    },
    "completion_tokens_details": {
      "reasoning_tokens": 66
    }
  }
}
Token Usage
{
  "completion_tokens": 367,
  "completion_tokens_details": {
    "reasoning_tokens": 66
  },
  "prompt_tokens": 109,
  "prompt_tokens_details": {
    "cached_tokens": 0
  },
  "total_tokens": 476
}
Fixes
User Request
Method: POST

URL: /v1/chat/completions

Headers:
{
  "accept-encoding": "gzip",
  "authorization": "Bearer sk_r4gAXloJQt74Cp4prb19OItKzoG77lLhjmWT4ei20Ua",
  "content-length": "339",
  "content-type": "application/json",
  "host": "api.tokendiet.cn",
  "via": "1.1 Caddy",
  "x-forwarded-for": "13.212.110.206",
  "x-forwarded-host": "api.tokendiet.cn",
  "x-forwarded-proto": "https"
}

Body:
{
  "model": "deepseek-v4-flash-g2",
  "messages": [
    {
      "role": "user",
      "content": "请详细回答以下问题:解释什么是递归,并举例说明。请展开论述,分点说明,条理清晰。"
    }
  ],
  "max_tokens": 300
}
User Response
Body:
{
  "choices": [
    {
      "finish_reason": "length",
      "index": 0,
      "logprobs": null,
      "message": {
        "content": "## 什么是递归\n\n递归(Recursion)是一种在数学和计算机科学中非常常见的方法,指一个函数(或过程)在定义或实现时,直接或间接地调用自身来解决更小规模的同类问题。递归的核心思想是“将大问题分解为结构相同、规模更小的子问题”,直到子问题简单到可以直接求解。\n\n递归通常包含两个关键部分:\n\n1. **基线条件(Base Case)**:最小、最简单的情况,不再调用自身,直接返回结果。它是递归的终止条件,防止无限循环。\n2. **递归步骤(Recursive Step)**:把当前问题转化为更小的子问题,并通过调用自身来求解,最终将子问题的结果合并为原问题的答案。\n\n---\n\n## 递归的直观理解\n\n可以把递归想象成“套娃”或“俄罗斯方块嵌套”:\n\n- 要解决一个大问题,先把它拆成一个更小的同类问题;\n- 小问题再拆成更小的同类问题;\n- 直到小到一眼就能看出答案;\n- 然后逐层返回结果,最终得到大问题的解。\n\n这个过程包含两个阶段:\n\n- **递推(递下去)**:不断向基线条件靠近;\n- **回归(归回来)**:从基线条件开始,逐层计算结果并返回。\n\n---\n\n## 递归的经典例子\n\n### 例子1:阶乘(Factorial)\n\n数学定义:\n\n- \\(0! = 1\\)\n",
        "reasoning_content": "我们只需要回答用户问题。需要详细解释递归,举例说明,分点,条理清晰。用中文。递归定义:函数/过程直接或间接调用自身;需要基线条件和递归步骤。举例:阶乘、斐波那契、汉诺塔、目录遍历。展开论述。注意不要过度。",
        "role": "assistant"
      }
    }
  ],
  "created": 1788096464,
  "id": "021788096460268fd0de7354b348b065f00b895e07126b83e07a3",
  "model": "deepseek-v4-flash-g2",
  "object": "chat.completion",
  "service_tier": "default",
  "usage": {
    "completion_tokens": 367,
    "completion_tokens_details": {
      "reasoning_tokens": 66
    },
    "prompt_tokens": 109,
    "prompt_tokens_details": {
      "cached_tokens": 0
    },
    "total_tokens": 476
  }
}
Created At8/30/2026, 9:27:40 PM