Beantragung und Nutzung der OpenAI Responses API

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      "type": "message",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "annotations": [],
          "text": "Hello! How can I assist you today?"
        }
      ],
      "role": "assistant"
    }
  ],
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    },
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import requests

url = "https://api.acedata.cloud/openai/responses"

headers = {
    "accept": "application/json",
    "authorization": "Bearer {token}",
    "content-type": "application/json"
}

payload = {
    "model": "gpt-4.1",
    "input": [{"role":"user","content":"Hello"}],
    "stream": True
}

response = requests.post(url, json=payload, headers=headers)
print(response.text)

data: {"type": "response.created", "sequence_number": 0, "response":
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data: {"type": "response.output_text.delta", "sequence_number": 4, "item_id": "msg_68a9837c49f081908f568bf9c6065c620721186e8fbb89d0", "output_index": 0, "content_index": 0, "delta": "Hallo", "model": "gpt-4.1"} 

data: {"type": "response.output_text.delta", "sequence_number": 5, "item_id": "msg_68a9837c49f081908f568bf9c6065c620721186e8fbb89d0", "output_index": 0, "content_index": 0, "delta": "!", "model": "gpt-4.1"} 

data: {"type": "response.output_text.delta", "sequence_number": 6, "item_id": "msg_68a9837c49f081908f568bf9c6065c620721186e8fbb89d0", "output_index": 0, "content_index": 0, "delta": " Wie", "model": "gpt-4.1"} 

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data: {"type": "response.output_text.delta", "sequence_number": 8, "item_id": "msg_68a9837c49f081908f568bf9c6065c620721186e8fbb89d0", "output_index": 0, "content_index": 0, "delta": " ich", "model": "gpt-4.1"} 

data: {"type": "response.output_text.delta", "sequence_number": 9, "item_id": "msg_68a9837c49f081908f568bf9c6065c620721186e8fbb89d0", "output_index": 0, "content_index": 0, "delta": " dir", "model": "gpt-4.1"} 

data: {"type": "response.output_text.delta", "sequence_number": 10, "item_id": "msg_68a9837c49f081908f568bf9c6065c620721186e8fbb89d0", "output_index": 0, "content_index": 0, "delta": " heute", "model": "gpt-4.1"} 

data: {"type": "response.output_text.delta", "sequence_number": 11, "item_id": "msg_68a9837c49f081908f568bf9c6065c620721186e8fbb89d0", "output_index": 0, "content_index": 0, "delta": " helfen", "model": "gpt-4.1"} 

data: {"type": "response.output_text.delta", "sequence_number": 12, "item_id": "msg_68a9837c49f081908f568bf9c6065c620721186e8fbb89d0", "output_index": 0, "content_index": 0, "delta": "?", "model": "gpt-4.1"} 

data: {"type": "response.output_text.delta", "sequence_number": 13, "item_id": "msg_68a9837c49f081908f568bf9c6065c620721186e8fbb89d0", "output_index": 0, "content_index": 0, "delta": " 😊", "model": "gpt-4.1"} 

data: {"type": "response.output_text.done", "sequence_number": 14, "item_id": "msg_68a9837c49f081908f568bf9c6065c620721186e8fbb89d0", "output_index": 0, "content_index": 0, "text": "Hallo! Wie kann ich dir heute helfen? 😊", "model": "gpt-4.1"} 

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data: {"type": "response.completed", "sequence_number": 17, "response":
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const options = {
  method: "post",
  headers: {
    accept: "application/json",
    authorization: "Bearer b82d32f570bc434d9ba9923aa0e7dce0",
    "content-type": "application/json",
  },
  body: JSON.stringify({
    model: "gpt-4.1",
    input: [{ role: "user", content: "Hello" }],
    stream: true,
  }),
};

fetch("https://api.acedata.cloud/openai/responses", options)
  .then((response) => response.json())
  .then((response) => console.log(response))
  .catch((err) => console.error(err));

JSONObject jsonObject = new JSONObject();
jsonObject.put("model", "gpt-4.1");
jsonObject.put("input", [{"role":"user","content":"Hello"}]);
jsonObject.put("stream", true);
MediaType mediaType = "application/json; charset=utf-8".toMediaType();
RequestBody body = jsonObject.toString().toRequestBody(mediaType);
Request request = new Request.Builder()
  .url("https://api.acedata.cloud/openai/responses")
  .post(body)
  .addHeader("accept", "application/json")
  .addHeader("authorization", "Bearer b82d32f570bc434d9ba9923aa0e7dce0")
  .addHeader("content-type", "application/json")
  .build();

OkHttpClient client = new OkHttpClient();
Response response = client.newCall(request).execute();
System.out.print(response.body!!.string())

import requests

url = "https://api.acedata.cloud/openai/responses"

headers = {
    "accept": "application/json",
    "authorization": "Bearer {token}",
    "content-type": "application/json"
}

payload = {
    "model": "gpt-4.1",
    "input": [{"role":"user","content":"Hello"},{"role":"assistant","content":"Hello! How can I help you today? 😊"},{"role":"user","content":"What did I just say?"}]
}

response = requests.post(url, json=payload, headers=headers)
print(response.text)

{
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  "object": "response",
  "created_at": 1755941312,
  "status": "completed",
  "background": false,
  "content_filters": null,
  "error": null,
  "incomplete_details": null,
  "instructions": null,
  "max_output_tokens": null,
  "max_tool_calls": null,
  "model": "gpt-4.1",
  "output": [
    {
      "id": "msg_68a989c092e4819189821a9eb8247e1e0932a4328c0a5d5b",
      "type": "message",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "annotations": [],
          "text": "You just said \"Hello.\" \n\nWould you like to continue the conversation or ask a question?"
        }
      ],
      "role": "assistant"
    }
  ],
  "parallel_tool_calls": true,
  "previous_response_id": null,
  "prompt_cache_key": null,
  "reasoning": {
    "effort": null,
    "summary": null
  },
  "safety_identifier": null,
  "service_tier": "default",
  "store": true,
  "temperature": 1,
  "text": {
    "format": {
      "type": "text"
    }
  },
  "tool_choice": "auto",
  "tools": [],
  "top_p": 1,
  "truncation": "disabled",
  "usage": {
    "input_tokens": 32,
    "input_tokens_details": {
      "cached_tokens": 0
    },
    "output_tokens": 20,
    "output_tokens_details": {
      "reasoning_tokens": 0
    },
    "total_tokens": 52
  },
  "user": null,
  "metadata": {}
}

curl -X POST 'https://api.acedata.cloud/openai/responses' \
-H 'accept: application/json' \
-H 'authorization: Bearer {token}' \
-H 'content-type: application/json' \
-d '{
    "model": "gpt-4.1",
    "input": [
      {
        "role": "user",
        "content": [
          {"type": "input_text", "text": "what is in this image?"},
          {
            "type": "input_image",
            "image_url": "https://cdn.acedata.cloud/e724d7f13d.png"
          }
        ]
      }
    ]
  }'

import requests

url = "https://api.acedata.cloud/openai/chat/completions"

headers = {
    "accept": "application/json",
    "authorization": "Bearer {token}",
    "content-type": "application/json"
}

payload = {
    "model": "gpt-4.1",
    "input": [
      {
        "role": "user",
        "content": [
          {"type": "input_text", "text": "what is in this image?"},
          {
            "type": "input_image",
            "image_url": "https://cdn.acedata.cloud/e724d7f13d.png"
          }
        ]
      }
    ]
  }

response = requests.post(url, json=payload, headers=headers)
print(response.text)

{
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  "object": "response",
  "created_at": 1755941915,
  "status": "completed",
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  "max_output_tokens": null,
  "max_tool_calls": null,
  "model": "gpt-4.1",
  "output": [
    {
      "id": "msg_68a98c1dd030819e97fb71e6ee33f5a902483949012d2193",
      "type": "message",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "annotations": [],
          "text": "This image shows a scenic path, possibly a boardwalk, running through a lush green field or meadow. The sky above is bright blue with some white clouds, and there are green trees and bushes in the background. It looks like a peaceful nature scene, possibly in a park, wetland, or prairie area. The image conveys a sense of tranquility and natural beauty."
        }
      ],
      "role": "assistant"
    }
  ],
  "parallel_tool_calls": true,
  "previous_response_id": null,
  "prompt_cache_key": null,
  "reasoning": {
    "effort": null,
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  },
  "safety_identifier": null,
  "service_tier": "default",
  "store": true,
  "temperature": 1,
  "text": {
    "format": {
      "type": "text"
    }
  },
  "tool_choice": "auto",
  "tools": [],
  "top_p": 1,
  "truncation": "disabled",
  "usage": {
    "input_tokens": 1118,
    "input_tokens_details": {
      "cached_tokens": 0
    },
    "output_tokens": 75,
    "output_tokens_details": {
      "reasoning_tokens": 0
    },
    "total_tokens": 1193
  },
  "user": null,
  "metadata": {}
}

{
  "model": "gpt-4.1",
  "input": [
    {
      "role": "user",
      "content": [
        { "type": "input_text", "text": "what is in this file?" },
        {
          "type": "input_file",
          "file_url": "https://cdn.acedata.cloud/assets/examples/fish/64adc04b-c196-4a0f-9070-222ba101ce6c-fc50de38c165.wav"
        }
      ]
    }
  ]
}

{
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  "background": false,
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  "max_output_tokens": null,
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  "model": "gpt-4.1",
  "output": [
    {
      "id": "msg_68a98d7d9b80819b9b0f09b7bcd00bf900a1af2af822e88a",
      "type": "message",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "annotations": [],
          "text": "The file you posted contains the **2024 annual letter to shareholders from Berkshire Hathaway Inc.**, written by Warren E. Buffett, Chairman of the Board. This document is a comprehensive communication that is typically included in Berkshire's annual report to shareholders.\n\n### What's Inside the File:\n\n#### 1. **Chairman's Letter to Shareholders**\n   - **Introduction & Philosophy:** Warren Buffett discusses the purpose of the annual report, Berkshire Hathaway’s communication style, and his philosophy for transparency and candid discussion of both successes and failures.\n   - **Discussion of Mistakes:** He talks openly about the mistakes made in capital allocation and personnel decisions, emphasizing the importance of admitting errors and acting promptly to correct them.\n   - **Succession Comments:** Buffett references his eventual retirement, and that Greg Abel will succeed him as CEO and writer of these letters.\n   - **Anecdotal Story:** The story of Pete Liegl, founder of Forest River (an RV manufacturer acquired by Berkshire), is told to illustrate management philosophy and business decision-making.\n\n#### 2. **2024 Business and Financial Performance**\n   - **Key Results:** Summary of how Berkshire performed financially in 2024 vs. 2023, including operating earnings breakdown by business segments such as insurance, BNSF railroad, and energy.\n   - **Insurance Business:** GEICO and the property-casualty insurance division had a standout year, with commentary on the industry and how Berkshire approaches insurance risk, pricing, and investment of insurance \"float.\"\n   - **Investments:** Discussion on Berkshire’s strategy of owning both full businesses and partial stakes (marketable securities) in large companies (e.g., Apple, American Express, Coca-Cola), and its deployment of cash.\n   - **Taxes:** Reference to Berkshire breaking records in corporate tax payments ($26.8 billion to the IRS in 2024).\n\n#### 3. **Long-term Philosophy & Capitalism Commentary**\n   - **On Equities:** Buffett explains why Berkshire prioritizes ownership of businesses (equities) over cash or bonds, and why the company favors long-term investments.\n   - **On Capitalism:** There’s a reflection on America’s growth, the role of capitalism, savings, and capital allocation in the nation’s success, and a nod to the importance of maintaining a stable currency.\n\n#### 4. **Japanese Investments**\n   - **Update on Japanese Holdings:** Berkshire’s growing investments in five Japanese trading companies, and the positive view of their management and governance.\n\n#### 5. **Berkshire Hathaway Annual Meeting**\n   - **Annual Gathering Info:** Details about the annual meeting in Omaha, including social events, book sales, and charitable initiatives related to the meeting.\n   - **Personal Stories:** Personal anecdotes involving Buffett’s family, (including his sister Bertie), to add a human touch to the letter.\n\n#### 6. **Performance Tables**\n   - **Berkshire vs S&P 500 (1965-2024):** Two detailed tables showing annual percentage change in Berkshire’s share price vs. total return for the S&P 500, as well as long-term compounded and overall gains.\n\n---\n\n### In Summary\n\nThis file is the **2024 Berkshire Hathaway annual letter to shareholders**, primarily written by Warren Buffett. It covers business performance, management philosophy, investment strategy, earnings and taxes, insurance operations, significant holdings, capital allocation, succession updates, and more. Tables show a remarkable outperformance of Berkshire Hathaway vs. the S&P 500 over nearly six decades – a central point of pride in the letter.\n\nIf you want specifics from any particular section, let me know!"
        }
      ],
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{
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