创建 Model Response

POST/v1/responses

使用兼容 OpenAI 的 Responses API 格式创建模型响应。

请求体

application/json

model:必填string

本次请求使用的模型标识符。

可选值gpt-5.5

示例gpt-5.5

input:必填string

提供给模型的文本、消息、图像或文件输入。

示例Tell me a three sentence bedtime story about a unicorn.

instructions:必填string

加入模型上下文的系统或开发者指令。

可选值You are a helpful assistent.

max_output_tokens:必填number

响应允许生成的最大 Token 数。

可选值1024

reasoning:必填object

受支持模型使用的推理配置。

stream:必填boolean

是否在结果生成时以流式方式返回。

temperature:必填number

用于控制响应随机性的采样温度。

响应

200

成功时返回 JSON 响应。完整示例显示在右侧代码面板中。

兼容格式参考

以下外部文档可用于了解兼容供应商格式中的扩展参数。

1curl --request POST \2 --url 'https://api.unifyllm.top/v1/responses' \3 --header 'Authorization: Bearer <YOUR_API_KEY>' \4 --header 'Content-Type: application/json' \5 --data '{6 "model": "gpt-5.5",7 "input": "Tell me a three sentence bedtime story about a unicorn."8}'

1{2 "id": "resp_08eee34deb147259016a55e17d834c819a9aff22e251c367b0",3 "object": "response",4 "created_at": 1784013181,5 "status": "completed",6 "background": false,7 "completed_at": 1784013184,8 "error": null,9 "frequency_penalty": 0,10 "incomplete_details": null,11 "instructions": "You are a helpful assistant.",12 "max_output_tokens": null,13 "max_tool_calls": null,14 "model": "gpt-5.5",15 "moderation": null,16 "output": [17 {18 "id": "msg_08eee34deb147259016a55e17e12a8819a8efec3711f7575f4",19 "type": "message",20 "status": "completed",21 "content": [22 {23 "type": "output_text",24 "annotations": [],25 "logprobs": [],26 "text": "A gentle unicorn named Luma lived in a moonlit meadow where the flowers glowed softly at night. \nEach evening, she sprinkled stardust from her silver horn to help lost fireflies find their way home. \nWhen the sky filled with twinkling lights, Luma curled beneath a velvet tree and dreamed of rainbow clouds."27 }28 ],29 "phase": "final_answer",30 "role": "assistant"31 }32 ],33 "parallel_tool_calls": true,34 "presence_penalty": 0,35 "previous_response_id": null,36 "prompt_cache_key": "034b1177-b68a-4e30-b3cc-0d4e7f3eec74",37 "prompt_cache_retention": "24h",38 "reasoning": {39 "context": "current_turn",40 "effort": "medium",41 "mode": "standard",42 "summary": null43 },44 "safety_identifier": "user-9f6nlV797bodUQhVEfE26DER",45 "service_tier": "default",46 "store": false,47 "temperature": 1,48 "text": {49 "format": {50 "type": "text"51 },52 "verbosity": "medium"53 },54 "tool_choice": "auto",55 "tool_usage": {56 "image_gen": {57 "input_tokens": 0,58 "input_tokens_details": {59 "image_tokens": 0,60 "text_tokens": 061 },62 "output_tokens": 0,63 "output_tokens_details": {64 "image_tokens": 0,65 "text_tokens": 066 },67 "total_tokens": 068 },69 "web_search": {70 "num_requests": 071 }72 },73 "tools": [],74 "top_logprobs": 0,75 "top_p": 0.98,76 "truncation": "disabled",77 "usage": {78 "input_tokens": 27,79 "input_tokens_details": {80 "cache_write_tokens": 0,81 "cached_tokens": 082 },83 "output_tokens": 72,84 "output_tokens_details": {85 "reasoning_tokens": 086 },87 "total_tokens": 9988 },89 "user": null,90 "metadata": {}91}