deepseek-v4-pro

Model ID: deepseek-v4-pro
厂商: DeepSeek
模型类型: 语言模型

以下说明使用 deepseek-v4-pro 调用 FoxRouter 的兼容接口。价格与分组在构建文档时同步自 foxrouter.org/pricing，实际账户分组和可用性以控制台为准。

#计费信息

原价

输入: ¥0.348 / 百万 Token
输出: ¥0.696 / 百万 Token
缓存读取: ¥0.23 / 百万 Token

各分组价格单位：¥ / 百万 Token，按原价 × 分组倍率

分组	输入	输出	缓存读取
deepseek官key×0.35deepseek官方key（dsv4.1=dsv4.1-1017）	¥0.1218	¥0.2436	¥0.0805
default分组×1默认分组	¥0.348	¥0.696	¥0.23

价格与分组同步于 2026-11-02.

#Chat Completions

POSThttps://foxrouter.org/v1/chat/completions

根据对话历史创建模型响应。支持流式和非流式响应。

兼容 OpenAI Chat Completions API。

#认证

参数	类型	必填	说明
`Authorization`	`Bearer <token>`	是	使用 Bearer Token 认证。格式: Authorization: Bearer sk-xxxxxx In: header

#请求示例

curl -X POST "https://foxrouter.org/v1/chat/completions" \
  -H "Authorization: Bearer $FOXROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-v4-pro",
    "messages": [
      {
        "role": "system",
        "content": "string"
      }
    ]
  }'

import os

import requests

url = "https://foxrouter.org/v1/chat/completions"
headers = {
    "Authorization": "Bearer " + os.environ["FOXROUTER_API_KEY"],
    "Content-Type": "application/json",
}
payload = """{
  "model": "deepseek-v4-pro",
  "messages": [
    {
      "role": "system",
      "content": "string"
    }
  ]
}"""

response = requests.post(url, headers=headers, data=payload)
print(response.status_code)
print(response.text)

const payload = {
  "model": "deepseek-v4-pro",
  "messages": [
    {
      "role": "system",
      "content": "string"
    }
  ]
};

const response = await fetch("https://foxrouter.org/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.FOXROUTER_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify(payload),
});

console.log(response.status, await response.text());

import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;

public class Main {
    public static void main(String[] args) throws Exception {
        String payload = """
{
  "model": "deepseek-v4-pro",
  "messages": [
    {
      "role": "system",
      "content": "string"
    }
  ]
}
""";

        HttpRequest.Builder builder = HttpRequest.newBuilder()
                .uri(URI.create("https://foxrouter.org/v1/chat/completions"))
                .header("Authorization", "Bearer " + System.getenv("FOXROUTER_API_KEY"))
                .header("Content-Type", "application/json")
                .method("POST", HttpRequest.BodyPublishers.ofString(payload))
                .build();

        HttpResponse<String> response = HttpClient.newHttpClient()
                .send(builder.build(), HttpResponse.BodyHandlers.ofString());
        System.out.println(response.statusCode());
        System.out.println(response.body());
    }
}

#请求体

application/json

参数	类型	必填	说明
`model`	`string`	是	模型 ID
`messages`	`array<object>`	是	对话消息列表
`temperature`	`number`	否	采样温度 · 默认: `1` · 范围: `0 <= value <= 2`
`top_p`	`number`	否	核采样参数 · 默认: `1` · 范围: `0 <= value <= 1`
`n`	`integer`	否	生成数量 · 默认: `1` · 范围: `1 <= value`
`stream`	`boolean`	否	是否流式响应 · 默认: `false`
`stream_options`	`object`	否
`stop`	`string\|array<string>`	否	停止序列
`max_tokens`	`integer`	否	最大生成 Token 数
`max_completion_tokens`	`integer`	否	最大补全 Token 数
`presence_penalty`	`number`	否	默认: `0` · 范围: `-2 <= value <= 2`
`frequency_penalty`	`number`	否	默认: `0` · 范围: `-2 <= value <= 2`
`logit_bias`	`object`	否
`user`	`string`	否
`tools`	`array<object>`	否
`tool_choice`	`string\|object`	否
`response_format`	`object`	否
`seed`	`integer`	否
`reasoning_effort`	`string`	否	推理强度 (用于支持推理的模型) · 可选值: `"low" \| "medium" \| "high"`
`modalities`	`array<string>`	否
`audio`	`object`	否

#响应体

这篇文档对您有帮助吗？

最后更新于 2026/9/11

Gemini文本聊天 POST

Responses格式 POST

{
  "id": "string",
  "object": "chat.completion",
  "created": 0,
  "model": "deepseek-v4-pro",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "system",
        "content": "string",
        "name": "string",
        "tool_calls": [
          {
            "id": "string",
            "type": "function",
            "function": {
              "name": "string",
              "arguments": "string"
            }
          }
        ],
        "tool_call_id": "string",
        "reasoning_content": "string"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 0,
    "completion_tokens": 0,
    "total_tokens": 0,
    "prompt_tokens_details": {
      "cached_tokens": 0,
      "text_tokens": 0,
      "audio_tokens": 0,
      "image_tokens": 0
    },
    "completion_tokens_details": {
      "text_tokens": 0,
      "audio_tokens": 0,
      "reasoning_tokens": 0
    }
  },
  "system_fingerprint": "string"
}

#400 请求错误 · `application/json`

{
  "error": {
    "message": "string",
    "type": "string",
    "param": "string",
    "code": "string"
  }
}

#429 请求过多 · `application/json`

{
  "error": {
    "message": "string",
    "type": "string",
    "param": "string",
    "code": "string"
  }
}

#Responses API

POSThttps://foxrouter.org/v1/responses

OpenAI Responses API，用于创建模型响应。支持多轮对话、工具调用、推理等功能。

#认证

参数	类型	必填	说明
`Authorization`	`Bearer <token>`	是	使用 Bearer Token 认证。格式: Authorization: Bearer sk-xxxxxx In: header

#请求示例

curl -X POST "https://foxrouter.org/v1/responses" \
  -H "Authorization: Bearer $FOXROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-v4-pro"
  }'

import os

import requests

url = "https://foxrouter.org/v1/responses"
headers = {
    "Authorization": "Bearer " + os.environ["FOXROUTER_API_KEY"],
    "Content-Type": "application/json",
}
payload = """{
  "model": "deepseek-v4-pro"
}"""

response = requests.post(url, headers=headers, data=payload)
print(response.status_code)
print(response.text)

const payload = {
  "model": "deepseek-v4-pro"
};

const response = await fetch("https://foxrouter.org/v1/responses", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.FOXROUTER_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify(payload),
});

console.log(response.status, await response.text());

import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;

public class Main {
    public static void main(String[] args) throws Exception {
        String payload = """
{
  "model": "deepseek-v4-pro"
}
""";

        HttpRequest.Builder builder = HttpRequest.newBuilder()
                .uri(URI.create("https://foxrouter.org/v1/responses"))
                .header("Authorization", "Bearer " + System.getenv("FOXROUTER_API_KEY"))
                .header("Content-Type", "application/json")
                .method("POST", HttpRequest.BodyPublishers.ofString(payload))
                .build();

        HttpResponse<String> response = HttpClient.newHttpClient()
                .send(builder.build(), HttpResponse.BodyHandlers.ofString());
        System.out.println(response.statusCode());
        System.out.println(response.body());
    }
}

#请求体

application/json

参数	类型	必填	说明
`model`	`string`	是
`input`	`string\|array<object>`	否	输入内容，可以是字符串或消息数组
`instructions`	`string`	否
`max_output_tokens`	`integer`	否
`temperature`	`number`	否
`top_p`	`number`	否
`stream`	`boolean`	否
`tools`	`array<object>`	否
`tool_choice`	`string\|object`	否
`reasoning`	`object`	否
`previous_response_id`	`string`	否
`truncation`	`string`	否	可选值: `"auto" \| "disabled"`

#响应体

这篇文档对您有帮助吗？

最后更新于 2026/9/11

ChatCompletions格式 POST

原生OpenAI格式 POST

{
  "id": "string",
  "object": "response",
  "created_at": 0,
  "status": "completed",
  "model": "deepseek-v4-pro",
  "output": [
    {
      "type": "string",
      "id": "string",
      "status": "string",
      "role": "string",
      "content": [
        {
          "type": "string",
          "text": "string"
        }
      ]
    }
  ],
  "usage": {
    "prompt_tokens": 0,
    "completion_tokens": 0,
    "total_tokens": 0,
    "prompt_tokens_details": {
      "cached_tokens": 0,
      "text_tokens": 0,
      "audio_tokens": 0,
      "image_tokens": 0
    },
    "completion_tokens_details": {
      "text_tokens": 0,
      "audio_tokens": 0,
      "reasoning_tokens": 0
    }
  }
}

#Responses Compact API

POSThttps://foxrouter.org/v1/responses/compact

OpenAI Responses API，用于创建模型响应。支持多轮对话、工具调用、推理等功能。

#认证

参数	类型	必填	说明
`Authorization`	`Bearer <token>`	是	使用 Bearer Token 认证。格式: Authorization: Bearer sk-xxxxxx In: header

#请求示例

curl -X POST "https://foxrouter.org/v1/responses" \
  -H "Authorization: Bearer $FOXROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-v4-pro"
  }'

import os

import requests

url = "https://foxrouter.org/v1/responses"
headers = {
    "Authorization": "Bearer " + os.environ["FOXROUTER_API_KEY"],
    "Content-Type": "application/json",
}
payload = """{
  "model": "deepseek-v4-pro"
}"""

response = requests.post(url, headers=headers, data=payload)
print(response.status_code)
print(response.text)

const payload = {
  "model": "deepseek-v4-pro"
};

const response = await fetch("https://foxrouter.org/v1/responses", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.FOXROUTER_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify(payload),
});

console.log(response.status, await response.text());

import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;

public class Main {
    public static void main(String[] args) throws Exception {
        String payload = """
{
  "model": "deepseek-v4-pro"
}
""";

        HttpRequest.Builder builder = HttpRequest.newBuilder()
                .uri(URI.create("https://foxrouter.org/v1/responses"))
                .header("Authorization", "Bearer " + System.getenv("FOXROUTER_API_KEY"))
                .header("Content-Type", "application/json")
                .method("POST", HttpRequest.BodyPublishers.ofString(payload))
                .build();

        HttpResponse<String> response = HttpClient.newHttpClient()
                .send(builder.build(), HttpResponse.BodyHandlers.ofString());
        System.out.println(response.statusCode());
        System.out.println(response.body());
    }
}

#请求体

application/json

参数	类型	必填	说明
`model`	`string`	是
`input`	`string\|array<object>`	否	输入内容，可以是字符串或消息数组
`instructions`	`string`	否
`max_output_tokens`	`integer`	否
`temperature`	`number`	否
`top_p`	`number`	否
`stream`	`boolean`	否
`tools`	`array<object>`	否
`tool_choice`	`string\|object`	否
`reasoning`	`object`	否
`previous_response_id`	`string`	否
`truncation`	`string`	否	可选值: `"auto" \| "disabled"`

#响应体

这篇文档对您有帮助吗？

最后更新于 2026/9/11

ChatCompletions格式 POST

原生OpenAI格式 POST

{
  "id": "string",
  "object": "response",
  "created_at": 0,
  "status": "completed",
  "model": "deepseek-v4-pro",
  "output": [
    {
      "type": "string",
      "id": "string",
      "status": "string",
      "role": "string",
      "content": [
        {
          "type": "string",
          "text": "string"
        }
      ]
    }
  ],
  "usage": {
    "prompt_tokens": 0,
    "completion_tokens": 0,
    "total_tokens": 0,
    "prompt_tokens_details": {
      "cached_tokens": 0,
      "text_tokens": 0,
      "audio_tokens": 0,
      "image_tokens": 0
    },
    "completion_tokens_details": {
      "text_tokens": 0,
      "audio_tokens": 0,
      "reasoning_tokens": 0
    }
  }
}

#Messages API

POSThttps://foxrouter.org/v1/messages

Anthropic Claude Messages API 格式的请求。需要在请求头中包含 anthropic-version。

#认证

参数	类型	必填	说明
`Authorization`	`Bearer <token>`	是	使用 Bearer Token 认证。格式: Authorization: Bearer sk-xxxxxx In: header

#请求示例

curl -X POST "https://foxrouter.org/v1/messages" \
  -H "Authorization: Bearer $FOXROUTER_API_KEY" \
  -H "anthropic-version: 2023-06-01" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-v4-pro",
    "messages": [
      {
        "role": "user",
        "content": "string"
      }
    ],
    "max_tokens": 1
  }'

import os

import requests

url = "https://foxrouter.org/v1/messages"
headers = {
    "Authorization": "Bearer " + os.environ["FOXROUTER_API_KEY"],
    "anthropic-version": "2023-06-01",
    "Content-Type": "application/json",
}
payload = """{
  "model": "deepseek-v4-pro",
  "messages": [
    {
      "role": "user",
      "content": "string"
    }
  ],
  "max_tokens": 1
}"""

response = requests.post(url, headers=headers, data=payload)
print(response.status_code)
print(response.text)

const payload = {
  "model": "deepseek-v4-pro",
  "messages": [
    {
      "role": "user",
      "content": "string"
    }
  ],
  "max_tokens": 1
};

const response = await fetch("https://foxrouter.org/v1/messages", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.FOXROUTER_API_KEY}`,
    "anthropic-version": "2023-06-01",
    "Content-Type": "application/json",
  },
  body: JSON.stringify(payload),
});

console.log(response.status, await response.text());

import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;

public class Main {
    public static void main(String[] args) throws Exception {
        String payload = """
{
  "model": "deepseek-v4-pro",
  "messages": [
    {
      "role": "user",
      "content": "string"
    }
  ],
  "max_tokens": 1
}
""";

        HttpRequest.Builder builder = HttpRequest.newBuilder()
                .uri(URI.create("https://foxrouter.org/v1/messages"))
                .header("Authorization", "Bearer " + System.getenv("FOXROUTER_API_KEY"))
                .header("anthropic-version", "2023-06-01")
                .header("Content-Type", "application/json")
                .method("POST", HttpRequest.BodyPublishers.ofString(payload))
                .build();

        HttpResponse<String> response = HttpClient.newHttpClient()
                .send(builder.build(), HttpResponse.BodyHandlers.ofString());
        System.out.println(response.statusCode());
        System.out.println(response.body());
    }
}

#Header Parameters

参数	类型	必填	说明
`anthropic-version`	`string`	是	Anthropic API 版本
`x-api-key`	`string`	否	Anthropic API Key (可选，也可使用 Bearer Token)

#请求体

application/json

参数	类型	必填	说明
`model`	`string`	是
`messages`	`array<object>`	是
`system`	`string\|array<object>`	否
`max_tokens`	`integer`	是	范围: `1 <= value`
`temperature`	`number`	否	范围: `0 <= value <= 1`
`top_p`	`number`	否
`top_k`	`integer`	否
`stream`	`boolean`	否
`stop_sequences`	`array<string>`	否
`tools`	`array<object>`	否
`tool_choice`	`object`	否
`thinking`	`object`	否
`metadata`	`object`	否

#响应体

这篇文档对您有帮助吗？

最后更新于 2026/9/11

音频翻译 POST

Gemini媒体识别 POST

{
  "id": "string",
  "type": "message",
  "role": "assistant",
  "content": [
    {
      "type": "string",
      "text": "string"
    }
  ],
  "model": "deepseek-v4-pro",
  "stop_reason": "end_turn",
  "usage": {
    "input_tokens": 0,
    "output_tokens": 0,
    "cache_creation_input_tokens": 0,
    "cache_read_input_tokens": 0
  }
}

#Gemini Generate Content API

POSThttps://foxrouter.org/v1beta/models/deepseek-v4-pro:generateContent

代理 Gemini API 请求。路径格式: /v1beta/models/{model_name}:{action}

例如:

#认证

参数	类型	必填	说明
`Authorization`	`Bearer <token>`	是	使用 Bearer Token 认证。格式: Authorization: Bearer sk-xxxxxx In: header

#请求示例

curl -X POST "https://foxrouter.org/v1beta/models/string:generateContent" \
  -H "Authorization: Bearer $FOXROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{}'

import os

import requests

url = "https://foxrouter.org/v1beta/models/string:generateContent"
headers = {
    "Authorization": "Bearer " + os.environ["FOXROUTER_API_KEY"],
    "Content-Type": "application/json",
}
payload = """{}"""

response = requests.post(url, headers=headers, data=payload)
print(response.status_code)
print(response.text)

const payload = {};

const response = await fetch("https://foxrouter.org/v1beta/models/string:generateContent", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.FOXROUTER_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify(payload),
});

console.log(response.status, await response.text());

import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;

public class Main {
    public static void main(String[] args) throws Exception {
        String payload = """
{}
""";

        HttpRequest.Builder builder = HttpRequest.newBuilder()
                .uri(URI.create("https://foxrouter.org/v1beta/models/string:generateContent"))
                .header("Authorization", "Bearer " + System.getenv("FOXROUTER_API_KEY"))
                .header("Content-Type", "application/json")
                .method("POST", HttpRequest.BodyPublishers.ofString(payload))
                .build();

        HttpResponse<String> response = HttpClient.newHttpClient()
                .send(builder.build(), HttpResponse.BodyHandlers.ofString());
        System.out.println(response.statusCode());
        System.out.println(response.body());
    }
}

#路径参数

参数	类型	必填	说明
`model`	`string`	是	模型名称

#请求体

application/json

参数	类型	必填
`contents`	`array<object>`	否
`generationConfig`	`object`	否
`safetySettings`	`array<object>`	否
`tools`	`array<object>`	否
`systemInstruction`	`object`	否

#响应体

这篇文档对您有帮助吗？

最后更新于 2026/9/11

Gemini媒体识别 POST

ChatCompletions格式 POST

{
  "candidates": [
    {
      "content": {
        "role": "string",
        "parts": [
          {}
        ]
      },
      "finishReason": "string",
      "safetyRatings": [
        {}
      ]
    }
  ],
  "usageMetadata": {
    "promptTokenCount": 0,
    "candidatesTokenCount": 0,
    "totalTokenCount": 0
  }
}

#Chat Completions

POSThttps://foxrouter.org/v1/chat/completions

根据对话历史创建模型响应。支持流式和非流式响应。

兼容 OpenAI Chat Completions API。

#认证

参数	类型	必填	说明
`Authorization`	`Bearer <token>`	是	使用 Bearer Token 认证。格式: Authorization: Bearer sk-xxxxxx In: header

#请求示例

curl -X POST "https://foxrouter.org/v1/chat/completions" \
  -H "Authorization: Bearer $FOXROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "deepseek-v4-pro",
    "messages": [
      {
        "role": "system",
        "content": "string"
      }
    ]
  }'

import os

import requests

url = "https://foxrouter.org/v1/chat/completions"
headers = {
    "Authorization": "Bearer " + os.environ["FOXROUTER_API_KEY"],
    "Content-Type": "application/json",
}
payload = """{
  "model": "deepseek-v4-pro",
  "messages": [
    {
      "role": "system",
      "content": "string"
    }
  ]
}"""

response = requests.post(url, headers=headers, data=payload)
print(response.status_code)
print(response.text)

const payload = {
  "model": "deepseek-v4-pro",
  "messages": [
    {
      "role": "system",
      "content": "string"
    }
  ]
};

const response = await fetch("https://foxrouter.org/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: `Bearer ${process.env.FOXROUTER_API_KEY}`,
    "Content-Type": "application/json",
  },
  body: JSON.stringify(payload),
});

console.log(response.status, await response.text());

import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;

public class Main {
    public static void main(String[] args) throws Exception {
        String payload = """
{
  "model": "deepseek-v4-pro",
  "messages": [
    {
      "role": "system",
      "content": "string"
    }
  ]
}
""";

        HttpRequest.Builder builder = HttpRequest.newBuilder()
                .uri(URI.create("https://foxrouter.org/v1/chat/completions"))
                .header("Authorization", "Bearer " + System.getenv("FOXROUTER_API_KEY"))
                .header("Content-Type", "application/json")
                .method("POST", HttpRequest.BodyPublishers.ofString(payload))
                .build();

        HttpResponse<String> response = HttpClient.newHttpClient()
                .send(builder.build(), HttpResponse.BodyHandlers.ofString());
        System.out.println(response.statusCode());
        System.out.println(response.body());
    }
}

#请求体

application/json

参数	类型	必填	说明
`model`	`string`	是	模型 ID
`messages`	`array<object>`	是	对话消息列表
`temperature`	`number`	否	采样温度 · 默认: `1` · 范围: `0 <= value <= 2`
`top_p`	`number`	否	核采样参数 · 默认: `1` · 范围: `0 <= value <= 1`
`n`	`integer`	否	生成数量 · 默认: `1` · 范围: `1 <= value`
`stream`	`boolean`	否	是否流式响应 · 默认: `false`
`stream_options`	`object`	否
`stop`	`string\|array<string>`	否	停止序列
`max_tokens`	`integer`	否	最大生成 Token 数
`max_completion_tokens`	`integer`	否	最大补全 Token 数
`presence_penalty`	`number`	否	默认: `0` · 范围: `-2 <= value <= 2`
`frequency_penalty`	`number`	否	默认: `0` · 范围: `-2 <= value <= 2`
`logit_bias`	`object`	否
`user`	`string`	否
`tools`	`array<object>`	否
`tool_choice`	`string\|object`	否
`response_format`	`object`	否
`seed`	`integer`	否
`reasoning_effort`	`string`	否	推理强度 (用于支持推理的模型) · 可选值: `"low" \| "medium" \| "high"`
`modalities`	`array<string>`	否
`audio`	`object`	否

#响应体

这篇文档对您有帮助吗？

最后更新于 2026/9/11

Gemini文本聊天 POST

Responses格式 POST

{
  "id": "string",
  "object": "chat.completion",
  "created": 0,
  "model": "deepseek-v4-pro",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "system",
        "content": "string",
        "name": "string",
        "tool_calls": [
          {
            "id": "string",
            "type": "function",
            "function": {
              "name": "string",
              "arguments": "string"
            }
          }
        ],
        "tool_call_id": "string",
        "reasoning_content": "string"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 0,
    "completion_tokens": 0,
    "total_tokens": 0,
    "prompt_tokens_details": {
      "cached_tokens": 0,
      "text_tokens": 0,
      "audio_tokens": 0,
      "image_tokens": 0
    },
    "completion_tokens_details": {
      "text_tokens": 0,
      "audio_tokens": 0,
      "reasoning_tokens": 0
    }
  },
  "system_fingerprint": "string"
}

#400 请求错误 · `application/json`

{
  "error": {
    "message": "string",
    "type": "string",
    "param": "string",
    "code": "string"
  }
}

#429 请求过多 · `application/json`

{
  "error": {
    "message": "string",
    "type": "string",
    "param": "string",
    "code": "string"
  }
}

#计费信息

#Chat Completions

#认证

#请求示例

#请求体

#响应体

#200 成功 · application/json

#400 请求错误 · application/json

#429 请求过多 · application/json

#Responses API

#认证

#请求示例

#请求体

#响应体

#200 成功 · application/json

#Responses Compact API

#认证

#请求示例

#请求体

#响应体

#200 成功 · application/json

#Messages API

#认证

#请求示例

#Header Parameters

#请求体

#响应体

#200 成功 · application/json

#Gemini Generate Content API

#认证

#请求示例

#路径参数

#请求体

#响应体

#200 成功 · application/json

#Chat Completions

#认证

#请求示例

#请求体

#响应体

#200 成功 · application/json

#400 请求错误 · application/json

#429 请求过多 · application/json

#在线调用

#200 成功 · `application/json`

#400 请求错误 · `application/json`

#429 请求过多 · `application/json`

#200 成功 · `application/json`

#200 成功 · `application/json`

#200 成功 · `application/json`

#200 成功 · `application/json`

#200 成功 · `application/json`

#400 请求错误 · `application/json`

#429 请求过多 · `application/json`