Log MIDgtfHAlz6HtrpNtv6
Tx MIDgtfHAm1Qfoe7F1BZ
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
Latency12.41199873s
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": null,
"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": "2142",
"content-type": "application/json",
"date": "Sun, 30 Aug 2026 13:31:03 GMT",
"req-arrive-time": "1788096662306",
"req-cost-time": "723",
"resp-start-time": "1788096663030",
"server": "nginx",
"set-cookie": "route=75f379117db1ce19429dcd576b3552d8; Path=/",
"vary": "Accept-Encoding",
"via": "1.1 Caddy",
"x-envoy-upstream-service-time": "717",
"x-new-api-version": "v0.0.0",
"x-oneapi-request-id": "202608301331022734928188268d9d64VWgChaF",
"x-request-id": "9753f764-1287-4972-8606-cb30c3f7f0e1"
}
Body:
{
"id": "chatcmpl-466e16bd-3f86-4497-bab8-f1c325433cf1",
"object": "chat.completion",
"created": 1788096663,
"model": "deepseek-v4-flash",
"choices": [
{
"index": 0,
"message": {
"role": "assistant",
"content": null,
"refusal": null,
"annotations": null,
"audio": null,
"function_call": null,
"reasoning": "递归(Recursion)是计算机科学和数学中一种极其重要的思想方法。简单来说,**递归就是“函数自己调用自己”**。但更本质地看,它是一种**将复杂问题分解为与原问题结构相同、但规模更小的子问题**,然后通过解决子问题来最终解决原问题的策略。\n\n下面我将从定义、核心要素、执行原理、经典例子以及优缺点等几个方面,进行详细的展开论述。\n\n---\n\n### 一、 什么是递归(核心定义)\n\n递归包含两个层面的含义:\n\n1. **语法层面**:一个函数在它的函数体内直接或间接地调用它自身。\n2. **思维层面**:将一个大型、复杂的问题,转化为一个或多个与自身相似(同构)但规模更小的子问题。通过不断缩小规模,直到缩小到一个可以直接求解(不需要再递归)的“最小单元”,然后逐层返回结果,最终拼出原问题的答案。\n\n---\n\n### 二、 递归的两个必备要素\n\n一个正确的递归函数,必须包含以下两个部分,缺一不可:\n\n1. **基准条件(Base Case / 终止条件)**:\n - 这是递归的“出口”。它定义了问题规模小到何种程度时,可以直接给出答案,**不再进行自我调用**。\n - *如果缺少基准条件,函数会无限调用自己,最终导致栈溢出(Stack Overflow)程序崩溃。*\n\n2. **"
},
"logprobs": null,
"finish_reason": "length",
"stop_reason": null,
"token_ids": null,
"routed_experts": null
}
],
"service_tier": null,
"system_fingerprint": "vllm-0.25.1-dp8-ep-a4cd5859",
"usage": {
"prompt_tokens": 30,
"total_tokens": 330,
"completion_tokens": 300,
"prompt_tokens_details": {
"cached_tokens": 0,
"multimodal_tokens": null
}
},
"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": null,
"function_call": null,
"reasoning": "递归(Recursion)是计算机科学和数学中一种极其重要的思想方法。简单来说,**递归就是“函数自己调用自己”**。但更本质地看,它是一种**将复杂问题分解为与原问题结构相同、但规模更小的子问题**,然后通过解决子问题来最终解决原问题的策略。\n\n下面我将从定义、核心要素、执行原理、经典例子以及优缺点等几个方面,进行详细的展开论述。\n\n---\n\n### 一、 什么是递归(核心定义)\n\n递归包含两个层面的含义:\n\n1. **语法层面**:一个函数在它的函数体内直接或间接地调用它自身。\n2. **思维层面**:将一个大型、复杂的问题,转化为一个或多个与自身相似(同构)但规模更小的子问题。通过不断缩小规模,直到缩小到一个可以直接求解(不需要再递归)的“最小单元”,然后逐层返回结果,最终拼出原问题的答案。\n\n---\n\n### 二、 递归的两个必备要素\n\n一个正确的递归函数,必须包含以下两个部分,缺一不可:\n\n1. **基准条件(Base Case / 终止条件)**:\n - 这是递归的“出口”。它定义了问题规模小到何种程度时,可以直接给出答案,**不再进行自我调用**。\n - *如果缺少基准条件,函数会无限调用自己,最终导致栈溢出(Stack Overflow)程序崩溃。*\n\n2. **",
"refusal": null,
"role": "assistant"
},
"routed_experts": null,
"stop_reason": null,
"token_ids": null
}
],
"created": 1788096663,
"id": "chatcmpl-466e16bd-3f86-4497-bab8-f1c325433cf1",
"kv_transfer_params": null,
"metrics": null,
"model": "deepseek-v4-flash-g1",
"object": "chat.completion",
"prompt_logprobs": null,
"prompt_text": null,
"prompt_token_ids": null,
"service_tier": null,
"system_fingerprint": "vllm-0.25.1-dp8-ep-a4cd5859",
"usage": {
"completion_tokens": 300,
"prompt_tokens": 30,
"prompt_tokens_details": {
"cached_tokens": 0,
"multimodal_tokens": null
},
"total_tokens": 330
}
}Created At8/30/2026, 9:31:02 PM