图像(Images)原生Gemini格式
Gemini 图片生成(OpenAI 兼容)
Gemini 图片生成
Request Body
application/json
model*string
模型 ID
messages*
对话消息列表
temperature?number
采样温度
Default
1Range
0 <= value <= 2top_p?number
核采样参数
Default
1Range
0 <= value <= 1n?integer
生成数量
Default
1Range
1 <= valuestream?boolean
是否流式响应
Default
falsestream_options?
流式附加选项
stop?string|
停止序列
max_tokens?integer
最大生成 Token 数
max_completion_tokens?integer
最大补全 Token 数
presence_penalty?number
存在惩罚,-2.0–2.0,正值鼓励模型转向新话题
Default
0Range
-2 <= value <= 2frequency_penalty?number
频率惩罚,-2.0–2.0,正值降低重复用词的概率
Default
0Range
-2 <= value <= 2logit_bias?
按 token ID 调整特定 token 出现概率的偏置表
user?string
终端用户标识,便于排查滥用(OpenAI 已建议改用 safety_identifier)
tools?
可供模型调用的工具列表
tool_choice?string|
工具选择策略:auto 自动、none 禁用、或指定某个工具
response_format?
返回格式。设为 json_schema 可启用结构化输出,强制匹配给定 Schema
seed?integer
随机种子。相同种子与参数下尽力保证结果可复现
reasoning_effort?string
推理强度 (用于支持推理的模型)
Value in
"low" | "medium" | "high"modalities?array<string>
期望的输出模态,如 ["text"] 或 ["text","audio"]
audio?
音频输出参数,请求 audio 模态时必填
Response Body
application/json
application/json
application/json
curl -X POST "https://jiniu.ai/v1/chat/completions" \ -H "Content-Type: application/json" \ -d '{ "model": "gpt-4", "messages": [ { "role": "system", "content": "string" } ] }'{
"id": "string",
"object": "chat.completion",
"created": 0,
"model": "string",
"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"
}{
"error": {
"message": "string",
"type": "string",
"param": "string",
"code": "string"
}
}{
"error": {
"message": "string",
"type": "string",
"param": "string",
"code": "string"
}
}