Responses格式

OpenAI Responses 接口，支持多轮上下文、内置工具与推理模型。兼容 /v1/responses。

兼容 OpenAI Responses API。使用平台令牌作为 api_key，base_url 设为 https://api.covanexus.com/v1 即可调用。

POST /v1/responses https://api.covanexus.com

Authorization

Body

Authorization

Authorization BearerAuth

Authorization Bearer <token>

使用 Bearer Token 认证。格式：Authorization: Bearer $COVA_NEXUS_API_KEY

in: header

Request Body

application/json

model* string

模型 ID

input? string | array[object]

输入内容。可为纯文本字符串，或消息对象数组（含 role 与 content）

instructions? string

系统级指令（等价于 system 提示）

max_output_tokens? integer

最大输出 Token 数

temperature? number

采样温度

top_p? number

核采样参数

stream? boolean

是否流式输出（SSE 事件流）

Default false

tools? array[object]

可用工具列表（Function Calling / 内置工具）

tool_choice? string | object

工具选择策略

reasoning? object

推理配置（用于推理模型，如 {"effort":"medium"}）

previous_response_id? string

上一次响应的 ID，用于多轮上下文串联

truncation? string

上下文截断策略

Value in "auto" | "disabled"

Response Body

状态码	类型
200	application/json
400	application/json
429	application/json

curl -X POST "https://api.covanexus.com/v1/responses" \
  -H "Authorization: Bearer $COVA_NEXUS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "gpt-4o",
  "input": "用一句话介绍你自己"
}'

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "$COVA_NEXUS_API_KEY",
  baseURL: "https://api.covanexus.com/v1"
});

const response = await client.responses.create({
  model: "gpt-4o",
  input: "用一句话介绍你自己"
});
console.log(response.output_text);

from openai import OpenAI

client = OpenAI(
    api_key="$COVA_NEXUS_API_KEY",
    base_url="https://api.covanexus.com/v1"
)
response = client.responses.create(
    model="gpt-4o",
    input="用一句话介绍你自己"
)
print(response.output_text)

200

400

429

{
  "id": "resp_xxx",
  "object": "response",
  "created_at": 0,
  "model": "gpt-4o",
  "status": "completed",
  "output": [
    {
      "id": "msg_xxx",
      "type": "message",
      "status": "completed",
      "role": "assistant",
      "content": [
        {
          "type": "output_text",
          "text": "string"
        }
      ]
    }
  ],
  "usage": {
    "prompt_tokens": 0,
    "completion_tokens": 0,
    "total_tokens": 0
  }
}

BearerAuth