SETTLEMENT TELEMETRY

Inference Log

MID: gtfJXWLDJispGKva

Log MIDgtfJXWLDJispGKva
Typechat_completion
Aliasdeepseek-v4-flash-g1 / grUORIPWk0XTl4W7
Hostinforaxi-server:3300:v1.1.3736-1-gf63106d5c
Mode / Protoreq-v1-chatcmplopenai-chatcmpl
Vendor/LLMtokease/deepseek-v4-flash/yd
Statussuccess
User Pricing
30 × 0.75 = 0.000023
0 × 0.015 = 0.000000
300 × 1.5 = 0.000450
CNY 0.000472
Vendor Cost
30 × 0.69034 = 0.000021
0 × 0.013802 = 0.000000
300 × 1.380211 = 0.000414
CNY 0.000435
Latency11.44777019s
Summary
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  "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": "### 递归的详细解释\n\n递归(Recursion)是一种**在函数定义中调用自身**的编程技巧或数学概念。它通过将复杂问题分解为规模更小、结构相似的子问题,逐步简化直至达到一个**基础情况(Base Case)**,从而解决问题。递归的核心思想是“分而治之”与“自我引用”。\n\n---\n\n#### ",
    "tool_calls": [],
    "stop_reason": "length"
  }
}
Stop Reasonlength
Vendor Request
Method: POST

URL: https://tokease.cn/v1/chat/completions

Headers:
{
  "authorization": "Bearer sk-oRd5RE9JhT1bDLQ3lOZgdkESeCuowucrcNX16gZEgHecnxmu",
  "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/yd"
}
Vendor Response
Headers:
{
  "content-length": "2045",
  "content-type": "application/json",
  "date": "Sun, 30 Aug 2026 13:37:56 GMT",
  "req-arrive-time": "1788097076260",
  "req-cost-time": "644",
  "resp-start-time": "1788097076905",
  "server": "nginx",
  "set-cookie": "route=7041e75fbdb03d21cbe6a8d8f36f7b94; Path=/",
  "vary": "Accept-Encoding",
  "via": "1.1 Caddy",
  "x-envoy-upstream-service-time": "636",
  "x-new-api-version": "v0.0.0",
  "x-oneapi-request-id": "202608301337561940808788268d9d6zpDg0wYC",
  "x-request-id": "13215bbf-adf0-41d9-8ddd-b34ad42540b4"
}

Body:
{
  "id": "chatcmpl-e470864a-ab79-49f1-b83b-db6e75cac82d",
  "object": "chat.completion",
  "created": 1788097076,
  "model": "deepseek-v4-flash",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "### 递归的详细解释\n\n递归(Recursion)是一种**在函数定义中调用自身**的编程技巧或数学概念。它通过将复杂问题分解为规模更小、结构相似的子问题,逐步简化直至达到一个**基础情况(Base Case)**,从而解决问题。递归的核心思想是“分而治之”与“自我引用”。\n\n---\n\n#### 一、递归的三大核心要素\n\n1. **基础情况(Base Case)**  \n   - 递归必须有一个明确的终止条件,否则会无限循环导致栈溢出。  \n   - 基础情况是最简单的输入,直接返回结果,不再调用自身。  \n\n2. **递归步骤(Recursive Step)**  \n   - 函数调用自身,但参数必须向基础情况逼近(例如减小数值、缩短列表长度)。  \n   - 每次调用都解决一个子问题,层层递进。  \n\n3. **调用栈(Call Stack)**  \n   - 每次递归调用都会在内存栈中压入一层新的函数帧。  \n   - 当达到基础情况时,栈开始逐层弹出,返回结果给上一层调用。\n\n---\n\n#### 二、递归的直观比喻\n\n想象你站在一排镜子前,每面镜子都反射出对面镜子的影像——无限循环。递归就像“镜子中的镜子”,但必须有一个“现实”的终点(基础情况)来切断循环。  \n例如,俄罗斯套娃:最",
        "refusal": null,
        "annotations": null,
        "audio": null,
        "function_call": null,
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      },
      "logprobs": null,
      "finish_reason": "length",
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      "token_ids": null,
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    }
  ],
  "service_tier": null,
  "system_fingerprint": "vllm-0.25.1-dp8-ep-1ccbc6be",
  "usage": {
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    "total_tokens": 330,
    "completion_tokens": 300,
    "prompt_tokens_details": {
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    }
  },
  "prompt_logprobs": null,
  "prompt_token_ids": null,
  "prompt_text": null,
  "kv_transfer_params": null,
  "metrics": null
}
Token Usage
{
  "completion_tokens": 300,
  "prompt_tokens": 30,
  "prompt_tokens_details": {
    "cached_tokens": 0,
    "multimodal_tokens": null
  },
  "total_tokens": 330
}
Fixes
User Request
Method: POST

URL: /v1/chat/completions

Headers:
{
  "accept": "*/*",
  "accept-encoding": "gzip",
  "authorization": "Bearer sk_r4gAXloJQt74Cp4prb19OItKzoG77lLhjmWT4ei20Ua",
  "content-length": "339",
  "content-type": "application/json",
  "host": "api.tokendiet.cn",
  "user-agent": "curl/8.5.0",
  "via": "2.0 Caddy",
  "x-forwarded-for": "13.212.110.206",
  "x-forwarded-host": "api.tokendiet.cn",
  "x-forwarded-proto": "https"
}

Body:
{
  "model": "deepseek-v4-flash-g1",
  "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": {
        "annotations": null,
        "audio": null,
        "content": "### 递归的详细解释\n\n递归(Recursion)是一种**在函数定义中调用自身**的编程技巧或数学概念。它通过将复杂问题分解为规模更小、结构相似的子问题,逐步简化直至达到一个**基础情况(Base Case)**,从而解决问题。递归的核心思想是“分而治之”与“自我引用”。\n\n---\n\n#### 一、递归的三大核心要素\n\n1. **基础情况(Base Case)**  \n   - 递归必须有一个明确的终止条件,否则会无限循环导致栈溢出。  \n   - 基础情况是最简单的输入,直接返回结果,不再调用自身。  \n\n2. **递归步骤(Recursive Step)**  \n   - 函数调用自身,但参数必须向基础情况逼近(例如减小数值、缩短列表长度)。  \n   - 每次调用都解决一个子问题,层层递进。  \n\n3. **调用栈(Call Stack)**  \n   - 每次递归调用都会在内存栈中压入一层新的函数帧。  \n   - 当达到基础情况时,栈开始逐层弹出,返回结果给上一层调用。\n\n---\n\n#### 二、递归的直观比喻\n\n想象你站在一排镜子前,每面镜子都反射出对面镜子的影像——无限循环。递归就像“镜子中的镜子”,但必须有一个“现实”的终点(基础情况)来切断循环。  \n例如,俄罗斯套娃:最",
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  "metrics": null,
  "model": "deepseek-v4-flash-g1",
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  "prompt_token_ids": null,
  "service_tier": null,
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  "usage": {
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    "prompt_tokens": 30,
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    },
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}
Created At8/30/2026, 9:37:56 PM