AI Chat v2 API 連携説明

curl -X POST 'https://api.acedata.cloud/aichat2/conversations' \
  -H 'accept: application/json' \
  -H 'authorization: Bearer {token}' \
  -H 'content-type: application/json' \
  -d '{
    "model": "gpt-5.4",
    "question": "一文で AceDataCloud を紹介してください。"
  }'

{
  "answer": "AceDataCloud は主要な AI モデルとマルチモーダルサービスを統合した統一 API プラットフォームであり、開発者は1つのキーだけで GPT、Claude、Gemini、Midjourney、Suno、Veo など複数のサービスを呼び出すことができます。",
  "id": "f2f4b3e8-0c0a-4d3a-aaa2-7ff80c0a1c44"
}

import requests

url = "https://api.acedata.cloud/aichat2/conversations"

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

payload = {
    "model": "gpt-5.4",
    "question": "一文で AceDataCloud を紹介してください。",
}

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

curl -X POST 'https://api.acedata.cloud/aichat2/conversations' \
  -H 'accept: application/json' \
  -H 'authorization: Bearer {token}' \
  -H 'content-type: application/json' \
  -d '{
    "model": "gpt-5.4",
    "stateful": true,
    "question": "数字を1つ覚えてください：42。"
  }'

{
  "answer": "はい、42を覚えました。それを使って何をしますか？",
  "id": "f2f4b3e8-0c0a-4d3a-aaa2-7ff80c0a1c44"
}

curl -X POST 'https://api.acedata.cloud/aichat2/conversations' \
  -H 'accept: application/json' \
  -H 'authorization: Bearer {token}' \
  -H 'content-type: application/json' \
  -d '{
    "model": "gpt-5.4",
    "stateful": true,
    "id": "f2f4b3e8-0c0a-4d3a-aaa2-7ff80c0a1c44",
    "question": "私がさっき覚えておいてほしいと言った数字は何ですか？"
  }'

{
  "answer": "あなたが私に覚えておいてほしいと言った数字は 42 です。",
  "id": "f2f4b3e8-0c0a-4d3a-aaa2-7ff80c0a1c44"
}

import json
import requests

url = "https://api.acedata.cloud/aichat2/conversations"

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

payload = {
    "model": "gpt-5.4",
    "stateful": True,
    "question": "杭州を三文で紹介してください。",
}

with requests.post(url, json=payload, headers=headers, stream=True) as resp:
    answer = ""
    for line in resp.iter_lines():
        if not line:
            continue
        event = json.loads(line)
        if event.get("type") == "text_delta":
            # v1 との互換性：増分セグメントは delta_answer フィールドを通じて提供されます
            answer += event["content"]
            print(event["delta_answer"], end="", flush=True)
        elif event.get("type") == "done":
            print()
            print("usage =", event.get("usage"))

{"type":"text_delta","content":"杭","delta_answer":"杭","id":"f2f4b3e8-..."}
{"type":"text_delta","content":"州","delta_answer":"州","id":"f2f4b3e8-..."}
{"type":"text_delta","content":"は","delta_answer":"は","id":"f2f4b3e8-..."}
...
{"type":"done","conversation_id":"f2f4b3e8-...","usage":{"prompt_tokens":21,"completion_tokens":58,"total_tokens":79},"terminal_reason":"natural_stop"}

const resp = await fetch("https://api.acedata.cloud/aichat2/conversations", {
  method: "POST",
  headers: {
    accept: "text/event-stream",
    authorization: "Bearer {token}",
    "content-type": "application/json",
  },
  body: JSON.stringify({
    model: "gpt-5.4",
    stateful: true,
    question: "杭州を三文で紹介してください。",
  }),
});

const reader = resp.body.getReader();
const decoder = new TextDecoder();
let buffer = "";
while (true) {
  const { value, done } = await reader.read();
  if (done) break;
  buffer += decoder.decode(value, { stream: true });
  const blocks = buffer.split("\n\n");
  buffer = blocks.pop() ?? "";
  for (const block of blocks) {
    const dataLine = block.split("\n").find((l) => l.startsWith("data: "));
    if (!dataLine) continue;
    const payload = dataLine.slice(6);
    if (payload === "[DONE]") return;
    const event = JSON.parse(payload);
    if (event.type === "text_delta") process.stdout.write(event.content);
  }
}

{
  "model": "gpt-5.4",
  "stateful": true,
  "message": [
    { "type": "text", "text": "この画像には猫が何匹いますか？" },
    { "type": "image_url", "image_url": { "url": "https://cdn.acedata.cloud/cats.jpg" } }
  ]
}

{"type":"tool_use","tool_id":"toolu_01ABCDEF","tool_name":"web_search","input":{"query":"上海 2026 春季展览"},"id":"f2f4b3e8-..."}
{"type":"tool_result","tool_id":"toolu_01ABCDEF","output":"...","is_error":false,"id":"f2f4b3e8-..."}
{"type":"text_delta","content":"現在","delta_answer":"現在","id":"f2f4b3e8-..."}
{"type":"text_delta","content":"上海","delta_answer":"上海","id":"f2f4b3e8-..."}
...

{
  "model": "gpt-5.5",
  "async": true,
  "question": "私のサービスがアラートを出しました。個人のWeChatで「AceDataCloudチーム」のWeChatグループに通知します……"
}

{
  "task_id": "f2f4b3e8-0c0a-4d3a-aaa2-7ff80c0a1c44",
  "conversation_id": "f2f4b3e8-0c0a-4d3a-aaa2-7ff80c0a1c44",
  "id": "f2f4b3e8-0c0a-4d3a-aaa2-7ff80c0a1c44",
  "status": "queued"
}

{
  "model": "gpt-5.5",
  "async": true,
  "allowed_skills": ["acedatacloud/personal-wechat"],
  "allowed_mcp_servers": [],
  "question": "私のサービスがアラートを出しました。個人のWeChatで「AceDataCloudチーム」のWeChatグループに通知します……"
}

{
  "unattended_policy": {
    "allowed_skills": ["acedatacloud/personal-wechat"],
    "allowed_mcp_servers": [],
    "expires_at": 1790000000
  }
}

{
  "type": "ask_user_question",
  "tool_id": "toolu_01XYZW",
  "tool_name": "ask_user_question",
  "question": "生成するレポートは中国語ですか、それとも英語ですか？",
  "options": ["中国語", "英語"],
  "id": "f2f4b3e8-..."
}

curl -X POST 'https://api.acedata.cloud/aichat2/conversations' \
  -H 'accept: text/event-stream' \
  -H 'authorization: Bearer {token}' \
  -H 'content-type: application/json' \
  -d '{
    "model": "gpt-5.4",
    "stateful": true,
    "id": "f2f4b3e8-0c0a-4d3a-aaa2-7ff80c0a1c44",
    "tool_results": [
      {
        "tool_use_id": "toolu_01XYZW",
        "output": "中国語"
      }
    ]
  }'

curl -X POST 'https://api.acedata.cloud/aichat2/conversations' \
  -H 'accept: application/json' \
  -H 'authorization: Bearer {token}' \
  -H 'content-type: application/json' \
  -d '{
    "action": "retrieve",
    "id": "f2f4b3e8-0c0a-4d3a-aaa2-7ff80c0a1c44"
  }'

{
  "action": "retrieve_batch",
  "model_group": "chatgpt",
  "limit": 20,
  "offset": 0
}

{
  "action": "update",
  "id": "f2f4b3e8-0c0a-4d3a-aaa2-7ff80c0a1c44",
  "title": "杭州旅行计划"
}

{
  "action": "delete",
  "id": "f2f4b3e8-0c0a-4d3a-aaa2-7ff80c0a1c44"
}

{
  "error": {
    "code": "chat_error",
    "message": "upstream LLM returned an error"
  },
  "trace_id": "2cf86e86-22a4-46e1-ac2f-032c0f2a4e89"
}