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聊天 (Chat) / 谷歌 Gemini 接口 / Chat 兼容格式 / gemini图片创作接口 [chat兼容格式]

Gemini 图片生成接口

POST https://api.quickrouter.ai/v1/chat/completions 在线调试 →
▼ Authorization

在 Header 添加参数 Authorization，其值为 Bearer 之后拼接 Token

示例： Authorization: Bearer ********************

给定一个提示，该模型将返回一个或多个预测的完成，并且还可以返回每个位置的替代标记的概率。 为提供的提示和参数创建完成 官方文档：https://ai.google.dev/gemini-api/docs/image-generation?hl=zh-cn

请求参数

Header 参数
Content-Type string
必需
示例: application/json
Accept string
必需
示例: application/json
Authorization string
可选
示例: Bearer {{YOUR_API_KEY}}
Body 参数 application/json
model string
必需
要使用的模型的 ID。有关哪些模型可与聊天 API 一起使用的详细信息,请参阅模型端点兼容性表。
messages array [object]
必需
至今为止对话所包含的消息列表。Python 代码示例。
role string
可选
content string
可选
temperature integer
可选
使用什么采样温度，介于 0 和 2 之间。较高的值（如 0.8）将使输出更加随机，而较低的值（如 0.2）将使输出更加集中和确定。 我们通常建议改变这个或top_p但不是两者。
top_p integer
可选
一种替代温度采样的方法，称为核采样，其中模型考虑具有 top_p 概率质量的标记的结果。所以 0.1 意味着只考虑构成前 10% 概率质量的标记。 我们通常建议改变这个或temperature但不是两者。
n integer
可选
默认为 1 为每个输入消息生成多少个聊天补全选择。
stream boolean
可选
默认为 false 如果设置,则像在 ChatGPT 中一样会发送部分消息增量。标记将以仅数据的服务器发送事件的形式发送,这些事件在可用时,并在 data: [DONE] 消息终止流。Python 代码示例。
stop string
可选
默认为 null 最多 4 个序列,API 将停止进一步生成标记。
max_tokens integer
可选
默认为 inf 在聊天补全中生成的最大标记数。 输入标记和生成标记的总长度受模型的上下文长度限制。计算标记的 Python 代码示例。
presence_penalty number
可选
-2.0 和 2.0 之间的数字。正值会根据到目前为止是否出现在文本中来惩罚新标记，从而增加模型谈论新主题的可能性。 查看有关频率和存在惩罚的更多信息。
frequency_penalty number
可选
默认为 0 -2.0 到 2.0 之间的数字。正值根据文本目前的存在频率惩罚新标记,降低模型重复相同行的可能性。 有关频率和存在惩罚的更多信息。
logit_bias null
可选
修改指定标记出现在补全中的可能性。 接受一个 JSON 对象,该对象将标记(由标记器指定的标记 ID)映射到相关的偏差值(-100 到 100)。从数学上讲,偏差在对模型进行采样之前添加到模型生成的 logit 中。确切效果因模型而异,但-1 和 1 之间的值应减少或增加相关标记的选择可能性;如-100 或 100 这样的值应导致相关标记的禁用或独占选择。
user string
可选
代表您的最终用户的唯一标识符，可以帮助 OpenAI 监控和检测滥用行为。了解更多。
response_format object
可选
指定模型必须输出的格式的对象。 将 { "type": "json_object" } 启用 JSON 模式,这可以确保模型生成的消息是有效的 JSON。 重要提示:使用 JSON 模式时,还必须通过系统或用户消息指示模型生成 JSON。如果不这样做,模型可能会生成无休止的空白流,直到生成达到令牌限制,从而导致延迟增加和请求“卡住”的外观。另请注意,如果 finish_reason="length",则消息内容可能会被部分切断,这表示生成超过了 max_tokens 或对话超过了最大上下文长度。 显示属性
seen integer
可选
此功能处于测试阶段。如果指定,我们的系统将尽最大努力确定性地进行采样,以便使用相同的种子和参数进行重复请求应返回相同的结果。不能保证确定性,您应该参考 system_fingerprint 响应参数来监控后端的更改。
tools array[string]
必需
模型可以调用的一组工具列表。目前,只支持作为工具的函数。使用此功能来提供模型可以为之生成 JSON 输入的函数列表。
tool_choice object
必需
控制模型调用哪个函数(如果有的话)。none 表示模型不会调用函数,而是生成消息。auto 表示模型可以在生成消息和调用函数之间进行选择。通过 {"type": "function", "function": {"name": "my_function"}} 强制模型调用该函数。 如果没有函数存在,默认为 none。如果有函数存在,默认为 auto。 显示可能的类型 { "max_tokens": 4096, "model": "gemini-2.0-flash-exp-image-generation", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "主题风格改成红色" }, { "type": "image_url", "image_url": { "url": 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 请求
示例
{
    "id": "chatcmpl-123",
    "object": "chat.completion",
    "created": 1677652288,
    "choices": [
        {
            "index": 0,
            "message": {
                "role": "assistant",
                "content": "\n\nHello there, how may I assist you today?"
            },
            "finish_reason": "stop"
        }
    ],
    "usage": {
        "prompt_tokens": 9,
        "completion_tokens": 12,
        "total_tokens": 21
    }
}

请求示例代码

{
  "model": "gemini-2.0-flash",
  "messages": [
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "描述这张图片"
        },
        {
          "type": "image_url",
          "image_url": {
            "url": "data:image/png;base64,iVBOR..."
          }
        }
      ]
    }
  ],
  "stream": false
}
curl --location --request POST 'https://api.quickrouter.ai/v1/chat/completions' \
--header 'Accept: application/json' \
--header 'Authorization: Bearer YOUR_API_KEY' \
--header 'Content-Type: application/json' \

"var myHeaders = new Headers();\nmyHeaders.append(\"Accept\", \"application/json\");\nmyHeaders.append(\"Authorization\", \"Bearer YOUR_API_KEY\");\nmyHeaders.append(\"Content-Type\", \"application/json\");\n\nvar raw = JSON.stringify({\n   \"max_tokens\": 4096,\n   \"model\": \"gemini-2.0-flash-exp-image-generation\",\n   \"messages\": [\n      {\n         \"role\": \"user\",\n         \"content\": [\n            {\n               \"type\": \"text\",\n               \"text\": \"主题风格改成红色\"\n            },\n            {\n               \"type\": \"image_url\",\n               \"image_url\": {\n                  \"url\": \"data:image/png;base64,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"
"import http.client\nimport json\n\nconn = http.client.HTTPSConnection(\"api.quickrouter.ai\")\npayload = json.dumps({\n   \"max_tokens\": 4096,\n   \"model\": \"gemini-2.0-flash-exp-image-generation\",\n   \"messages\": [\n      {\n         \"role\": \"user\",\n         \"content\": [\n            {\n               \"type\": \"text\",\n               \"text\": \"主题风格改成红色\"\n            },\n            {\n               \"type\": \"image_url\",\n               \"image_url\": {\n                  \"url\": \"data:image/png;base64,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"

返回响应

响应参数 🟢 200 OK · application/json
id string
必需
object string
必需
created integer
必需
choices array [object]
必需
index integer
可选
message object
可选
finish_reason string
可选
usage object
必需
prompt_tokens integer
必需
completion_tokens integer
必需
total_tokens integer
必需
{ "id": "chatcmpl-123", "object": "chat.completion", "created": 1677652288, "choices": [ { "index": 0, "message": { "role": "assistant", "content": "\n\nHello there, how may I assist you today?" }, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 9, "completion_tokens": 12, "total_tokens": 21 } }

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