sudo npm install -g @anthropic-ai/claude-code

sudo npm install -g @musistudio/claude-code-router

sudo nano /root/.claude-code-router/config.json

{
  "Providers": [
    {
      "name": "openrouter",
      "api_base_url": "https://openrouter.ai/api/v1/chat/completions",
      "api_key": "ここにOpenRouter APIキー",
      "models": [
        "google/gemini-2.5-flash"
      ]
    }
  ],
  "Router": {
    "default": "openrouter,google/gemini-2.5-flash",
    "background": "openrouter,google/gemini-2.5-flash",
    "think": "openrouter,google/gemini-2.5-flash",
    "longContext": "openrouter,google/gemini-2.5-flash"
  }
}

sudo ccr code

sudo npm update -g @anthropic-ai/claude-code
sudo npm update -g @musistudio/claude-code-router

sudo rm /root/.claude-code-router/config.json
sudo npm uninstall -g @anthropic-ai/claude-code
sudo npm uninstall -g @musistudio/claude-code-router

pip install -U openai youtube-transcript-api

import re
from openai import OpenAI
from youtube_transcript_api import YouTubeTranscriptApi

OPENAI_API_KEY = "Your OpenAI API Key Here"
OPENAI_MODEL = "gpt-4.1-mini"

def extract_video_id(url):
    import re
    match = re.search(r'(?:v=|\/)([0-9A-Za-z_-]{11}).*', url)
    if match:
        return match.group(1)
    return None

def get_transcript(video_id):
    try:
        transcript_list = YouTubeTranscriptApi.list_transcripts(video_id)
        auto_transcript = None
        for transcript in transcript_list:
            if transcript.is_generated:
                auto_transcript = transcript
                break
        if auto_transcript:
            lang_code = auto_transcript.language_code
            print(f"自動生成字幕の言語コード: {lang_code}")
            return YouTubeTranscriptApi.get_transcript(video_id, languages=[lang_code])
        else:
            print("自動生成字幕が見つかりませんでした")
            return None
    except Exception as e:
        print(f"エラーが発生しました: {str(e)}")
        return None

def fetch_YT(youtube_url):
    try:
        pattern = r"(?:https?://)?(?:www\.|m\.)?(?:youtube\.com|youtu\.be)/.*"
        if re.match(pattern, youtube_url):
            video_id = extract_video_id(youtube_url)
            print(f"Video ID: {video_id}")
            content = get_transcript(video_id)
            if content:
                print("字幕を取得しました")
                return content
            else:
                return None
        else:
            return None
    except Exception as e:
        print(f"エラーが発生しました: {str(e)}")
        return None

def post_AI(transcript):
    client = OpenAI(api_key=OPENAI_API_KEY)
    try:
        response = client.chat.completions.create(
            model=OPENAI_MODEL,
            messages=[
                {
                    "role": "user",
                    "content": f"以下はYouTube動画の音声の文字起こし文です。言葉としておかしい箇所は前後で判断してください。この内容をまとめて、日本語で、markdown形式で出力してください。\n\n---\n{transcript}\n---"
                }
            ],
            temperature=0.3
        )
        summary = response.choices[0].message.content
        print(summary)
    except Exception as e:
        print(f"エラーが発生しました: {str(e)}")

def main():
    while True:
        try:
            print("\nYouTubeのURLを入力してください:")
            input_url = input("URL >> ").strip()
            if not input_url:
                continue
            transcript = fetch_YT(input_url)
            if transcript:
                print("AI処理中..\n")
                post_AI(transcript)
            else:
                print("失敗しました")
        except Exception as e:
            print(f"エラーが発生しました: {str(e)}")

if __name__ == "__main__":
    main()

curl https://api.openai.com/v1/responses \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -d '{
    "model": "o4-mini",
    "input": [{"role": "user", "content": "日本一の山は?"}],
  }'

{
  "id": "resp_xxxxx",
  "object": "response",
  "created_at": 1751000000,
  "status": "completed",
  "background": false,
  "error": null,
  "incomplete_details": null,
  "instructions": null,
  "max_output_tokens": null,
  "max_tool_calls": null,
  "model": "o4-mini-2025-04-16",
  "output": [
    {
      "id": "rs_xxxxx",
      "type": "reasoning",
      "summary": []
    },
    {
      "id": "msg_xxxxx",
      "type": "message",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "annotations": [],
          "logprobs": [],
          "text": "\u65e5\u672c\u4e00\u306e\u5c71\u306f\u5bcc\u58eb\u5c71\u3067\u3059\u3002  \n\u6a19\u9ad8\u306f3,776\u30e1\u30fc\u30c8\u30eb\u3067\u3001\u5c71\u68a8\u770c\u3068\u9759\u5ca1\u770c\u306e\u5883\u306b\u4f4d\u7f6e\u3057\u3066\u3044\u307e\u3059\u3002\u65e5\u672c\u306e\u8c61\u5fb4\u3068\u3055\u308c\u3001\u53e4\u304f\u304b\u3089\u4fe1\u4ef0\u3084\u82b8\u8853\u306e\u984c\u6750\u306b\u3082\u306a\u3063\u3066\u304d\u307e\u3057\u305f\u3002"
        }
      ],
      "role": "assistant"
    }
  ],
  "parallel_tool_calls": true,
  "previous_response_id": null,
  "reasoning": {
    "effort": "medium",
    "summary": null
  },
  "service_tier": "default",
  "store": true,
  "temperature": 1.0,
  "text": {
    "format": {
      "type": "text"
    }
  },
  "tool_choice": "auto",
  "tools": [],
  "top_logprobs": 0,
  "top_p": 1.0,
  "truncation": "disabled",
  "usage": {
    "input_tokens": 12,
    "input_tokens_details": {
      "cached_tokens": 0
    },
    "output_tokens": 322,
    "output_tokens_details": {
      "reasoning_tokens": 256
    },
    "total_tokens": 334
  },
  "user": null,
  "metadata": {}
}

curl https://api.openai.com/v1/responses \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -d '{
    "model": "o4-mini",
    "input": [{"role": "user", "content": "日本一の山は?"}],
    "store": false
  }'

import os
import httpx

# OPENAI APIキー
API_KEY = "sk-abc"

# 削除したいIDを配列で指定
ids_to_delete = [
    "resp_xxx",
    "resp_yyy",
    "resp_zzz"
]

def delete_openai_response(response_id: str) -> dict:
    url = f"https://api.openai.com/v1/responses/{response_id}"
    headers = {
        "Authorization": f"Bearer {API_KEY}",
        "Content-Type": "application/json",
    }

    with httpx.Client(timeout=30) as client:
        response = client.delete(url, headers=headers)
        response.raise_for_status()

    return response.json()

print("削除処理を開始します。\n")

for an_id in ids_to_delete:
    try:
        print(f"id: {an_id} の削除を試みます。")
        response = delete_openai_response(an_id)
        print(f" > 応答: {response}")
        if response.get("deleted"):
            print(f" > 結果: ✅ 正常に削除されました。")
        else:
            print(f" > 結果: ❓ 削除されませんでした。")
    except Exception as e:
        print(f" > エラー: {an_id} の処理中に予期せぬエラーが発生しました。\n{e}")
        print(" > 次のIDの処理へ進みます。")
    finally:
        print("-" * 20)

print("\nすべての処理が完了しました。")
input("Enterキーを押して終了します。")

# コマンドの例(ユーザー名が「pi」でホスト名が「raspberrypi.local」の場合)
ssh pi@raspberrypi.local

# 初回はこんな感じで尋ねられると思うので「yes」
Are you sure you want to continue connecting (yes/no/[fingerprint])?

# 設定したパスワードを入力
pi@raspberrypi.local's password:

ssh pi@ここにグローバルIPアドレス

ssh -p 8022 pi@ここにグローバルIPアドレス