curl --request POST \
  --url https://toapis.com/v1/responses \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "gpt-5.3-codex-official",
    "instructions": "你是一個專業的代碼助手",
    "input": "用 Python 寫一個快速排序"
  }'

curl --request POST \
  --url https://toapis.com/v1/responses \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "gpt-5.3-codex-official",
    "input": "2026年最流行的 AI 框架有哪些？",
    "tools": [{"type": "web_search_preview"}]
  }'

curl --request POST \
  --url https://toapis.com/v1/responses \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "gpt-5-pro-official",
    "instructions": "你是一個天氣助手",
    "input": "北京今天天氣怎麼樣？",
    "tools": [
      {
        "type": "function",
        "name": "get_weather",
        "description": "獲取指定城市的天氣",
        "parameters": {
          "type": "object",
          "properties": {
            "location": {"type": "string", "description": "城市名稱"}
          },
          "required": ["location"]
        }
      }
    ]
  }'

curl --request POST \
  --url https://toapis.com/v1/responses \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "gpt-5.3-codex-official",
    "previous_response_id": "resp_abc123",
    "input": [
      {"role": "user", "content": "現在給這個函數加上錯誤處理"}
    ]
  }'

from openai import OpenAI

client = OpenAI(
    api_key="your-ToAPIs-key",
    base_url="https://toapis.com/v1"
)

response = client.responses.create(
    model="gpt-5.3-codex-official",
    instructions="你是一個專業的代碼助手",
    input="用 Python 寫一個快速排序"
)

print(response.output[0].content[0].text)

from openai import OpenAI

client = OpenAI(
    api_key="your-ToAPIs-key",
    base_url="https://toapis.com/v1"
)

response1 = client.responses.create(
    model="gpt-5.3-codex-official",
    instructions="你是一個專業的代碼助手",
    input="寫一個斐波那契函數"
)

response2 = client.responses.create(
    model="gpt-5.3-codex-official",
    previous_response_id=response1.id,
    input=[{"role": "user", "content": "加上輸入驗證"}]
)

print(response2.output[0].content[0].text)

import OpenAI from "openai";

const client = new OpenAI({
  apiKey: "your-ToAPIs-key",
  baseURL: "https://toapis.com/v1",
});

const response = await client.responses.create({
  model: "gpt-5.3-codex-official",
  instructions: "你是一個專業的代碼助手",
  input: "用 Python 寫一個快速排序",
});

console.log(response.output[0].content[0].text);

{
  "id": "resp_abc123",
  "object": "response",
  "status": "completed",
  "model": "gpt-5.3-codex-official",
  "output": [
    {
      "type": "message",
      "role": "assistant",
      "content": [
        {
          "type": "output_text",
          "text": "```python\ndef quicksort(arr):\n    if len(arr) <= 1:\n        return arr\n    pivot = arr[len(arr) // 2]\n    left = [x for x in arr if x < pivot]\n    middle = [x for x in arr if x == pivot]\n    right = [x for x in arr if x > pivot]\n    return quicksort(left) + middle + quicksort(right)\n```"
        }
      ]
    }
  ],
  "usage": {
    "input_tokens": 25,
    "output_tokens": 80,
    "total_tokens": 105
  }
}

{
  "id": "resp_def456",
  "object": "response",
  "status": "completed",
  "model": "gpt-5-pro-official",
  "output": [
    {
      "type": "function_call",
      "name": "get_weather",
      "arguments": "{\"location\":\"Beijing\"}",
      "call_id": "call_abc123"
    }
  ],
  "usage": {
    "input_tokens": 85,
    "output_tokens": 24,
    "total_tokens": 109
  }
}

{
  "error": {
    "code": "invalid_request_error",
    "message": "The 'input' field is required.",
    "type": "invalid_request_error"
  }
}