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hf_private_boris.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [
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{
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"ename": "ModuleNotFoundError",
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"evalue": "No module named 'random_user_agent'",
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"output_type": "error",
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"traceback": [
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"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
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"\u001b[1;31mModuleNotFoundError\u001b[0m Traceback (most recent call last)",
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"Cell \u001b[1;32mIn[1], line 3\u001b[0m\n\u001b[0;32m 1\u001b[0m \u001b[38;5;28;01mimport\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mrequests\u001b[39;00m\u001b[38;5;241m,\u001b[39m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mjson\u001b[39;00m\u001b[38;5;241m,\u001b[39m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01muuid\u001b[39;00m\u001b[38;5;241m,\u001b[39m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mtime\u001b[39;00m\n\u001b[0;32m 2\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mflask\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m Flask, request, Response, stream_with_context, jsonify\n\u001b[1;32m----> 3\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mrandom_user_agent\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01muser_agent\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m UserAgent\n\u001b[0;32m 4\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mrandom_user_agent\u001b[39;00m\u001b[38;5;21;01m.\u001b[39;00m\u001b[38;5;21;01mparams\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m SoftwareName, OperatingSystem\n\u001b[0;32m 5\u001b[0m \u001b[38;5;28;01mfrom\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;21;01mtime\u001b[39;00m\u001b[38;5;250m \u001b[39m\u001b[38;5;28;01mimport\u001b[39;00m time \u001b[38;5;28;01mas\u001b[39;00m current_time\n",
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"\u001b[1;31mModuleNotFoundError\u001b[0m: No module named 'random_user_agent'"
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]
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}
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],
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"source": [
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"import requests, json, uuid, time\n",
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"from flask import Flask, request, Response, stream_with_context, jsonify\n",
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"from random_user_agent.user_agent import UserAgent\n",
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"from random_user_agent.params import SoftwareName, OperatingSystem\n",
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"from time import time as current_time\n",
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"import os\n",
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"from functools import wraps\n",
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"from dotenv import load_dotenv\n",
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"\n",
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"load_dotenv()\n",
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"\n",
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"app = Flask(__name__)\n",
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"\n",
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"completed_prompts = 0\n",
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"active_streams = 0\n",
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"total_duration = 0.0\n",
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"\n",
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"software_names = [SoftwareName.CHROME.value]\n",
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"operating_systems = [OperatingSystem.WINDOWS.value, OperatingSystem.LINUX.value]\n",
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"user_agent_rotator = UserAgent(software_names=software_names, operating_systems=operating_systems)\n",
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"user_agent = f\"{user_agent_rotator.get_random_user_agent()} VSCode/1.96.4\"\n",
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"\n",
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"PROXY_PASSWORD = os.getenv('PROXY_PASSWORD')\n",
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| 44 |
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"key = os.getenv('ACCESS_TOKEN')\n",
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"API_ENDPOINT = \"https://codestory-provider-dot-anton-390822.ue.r.appspot.com/openrouter-api\"\n",
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"\n",
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"def get_external_url_for_huggingface_space(space_id: str) -> str:\n",
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" try:\n",
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" username, spacename = space_id.split(\"/\")\n",
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| 50 |
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" return f\"https://{username}-{spacename.replace('_', '-')}.hf.space\"\n",
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| 51 |
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" except Exception as e:\n",
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| 52 |
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" print(f\"Error generating Hugging Face Space URL: {e}\")\n",
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| 53 |
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" return \"\"\n",
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"\n",
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| 55 |
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"def get_base_url(request) -> str:\n",
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" space_id = os.getenv('SPACE_ID')\n",
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| 57 |
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" if space_id and \"hf.space\" not in request.host:\n",
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| 58 |
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" return get_external_url_for_huggingface_space(space_id)\n",
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| 59 |
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" return request.base_url\n",
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"\n",
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| 61 |
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"def require_password(view_func):\n",
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" @wraps(view_func)\n",
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| 63 |
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" def wrapper(*args, **kwargs):\n",
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| 64 |
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" auth_header = request.headers.get(\"Authorization\")\n",
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| 65 |
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" if auth_header and auth_header.startswith(\"Bearer \"):\n",
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| 66 |
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" token = auth_header.split(\" \")[1]\n",
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| 67 |
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" if token == PROXY_PASSWORD:\n",
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| 68 |
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" return view_func(*args, **kwargs)\n",
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| 69 |
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" api_key = request.headers.get(\"x-api-key\")\n",
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| 70 |
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" if api_key and api_key == PROXY_PASSWORD:\n",
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| 71 |
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" return view_func(*args, **kwargs)\n",
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| 72 |
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" return jsonify({\"error\": \"Unauthorized\"}), 401\n",
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| 73 |
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" return wrapper\n",
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"\n",
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| 75 |
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"def chat_request(messages, temp, system, model=None):\n",
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| 76 |
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" if not system:\n",
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| 77 |
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" system = [{\"type\": \"text\", \"text\": \"You are a helpful assistant that follows all user instructions.\"}]\n",
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" \n",
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| 79 |
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" # anthropic/claude-3-5-sonnet:beta doesn't work\n",
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| 80 |
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" if model == \"anthropic/claude-3-5-sonnet:beta\":\n",
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| 81 |
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" model = \"claude-3-5-sonnet-20241022\"\n",
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" else:\n",
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| 83 |
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" model = model or \"claude-3-5-sonnet-20241022\"\n",
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"\n",
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| 85 |
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" payload = {\n",
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| 86 |
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" \"model\": model,\n",
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| 87 |
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" \"temperature\": temp,\n",
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| 88 |
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" \"stream\": True,\n",
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| 89 |
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" \"messages\": [\n",
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| 90 |
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" {\"role\": \"system\", \"content\": system},\n",
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| 91 |
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" _messages\n",
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" ]\n",
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" }\n",
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| 94 |
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" resp = requests.post(\n",
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| 95 |
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" API_ENDPOINT,\n",
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| 96 |
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" headers={\n",
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| 97 |
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" \"authorization\": f\"Bearer {key}\",\n",
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| 98 |
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" \"content-type\": \"application/json\",\n",
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| 99 |
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" \"User-Agent\": user_agent\n",
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| 100 |
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" },\n",
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| 101 |
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" json=payload, stream=True\n",
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" )\n",
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| 103 |
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" return resp if resp.ok else None\n",
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"\n",
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| 105 |
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"@app.route(\"/\", methods=[\"GET\"])\n",
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| 106 |
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"def root():\n",
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| 107 |
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" global completed_prompts, active_streams, total_duration\n",
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| 108 |
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" average_duration = total_duration / completed_prompts if completed_prompts > 0 else 0\n",
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| 109 |
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" base_url = get_base_url(request).rstrip('/')\n",
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| 110 |
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" if base_url.startswith(\"http://\"):\n",
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| 111 |
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" base_url = base_url.replace(\"http://\", \"https://\", 1)\n",
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| 112 |
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" response_data = {\n",
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| 113 |
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" \"Total Requests\": completed_prompts,\n",
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| 114 |
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" \"Active Requests\": active_streams,\n",
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| 115 |
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" \"Average Duration\": average_duration,\n",
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| 116 |
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" \"Proxy Endpoint\": base_url\n",
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| 117 |
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" }\n",
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| 118 |
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" pretty_json = json.dumps(response_data, indent=4, sort_keys=False)\n",
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| 119 |
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" html_content = f\"\"\"\n",
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| 120 |
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"<!DOCTYPE html>\n",
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| 121 |
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"<html lang=\"en\">\n",
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"<head>\n",
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| 123 |
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" <meta charset=\"UTF-8\">\n",
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| 124 |
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" <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\">\n",
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| 125 |
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" <title>Proxy Status</title>\n",
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| 126 |
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" <style>\n",
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| 127 |
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" body {{\n",
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| 128 |
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" font-family: Arial, sans-serif;\n",
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" margin: 20px;\n",
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| 130 |
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" background-color: #f4f4f9;\n",
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" color: #333;\n",
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" display: flex;\n",
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| 133 |
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" flex-direction: column;\n",
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" align-items: center;\n",
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" }}\n",
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" h1 {{\n",
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" color: #444;\n",
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| 138 |
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" }}\n",
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| 139 |
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" pre {{\n",
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| 140 |
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" background-color: #fff;\n",
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| 141 |
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" padding: 15px;\n",
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| 142 |
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" border-radius: 5px;\n",
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| 143 |
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" border: 1px solid #ddd;\n",
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| 144 |
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" max-width: 600px;\n",
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| 145 |
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" overflow-x: auto;\n",
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| 146 |
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" width: 100%;\n",
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| 147 |
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" box-sizing: border-box;\n",
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| 148 |
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" }}\n",
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| 149 |
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" </style>\n",
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| 150 |
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"</head>\n",
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| 151 |
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"<body>\n",
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| 152 |
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" <pre>{pretty_json}</pre>\n",
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| 153 |
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"</body>\n",
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| 154 |
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"</html>\n",
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| 155 |
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"\"\"\"\n",
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| 156 |
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" return Response(html_content, content_type='text/html')\n",
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| 157 |
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"\n",
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| 158 |
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"@app.route(\"/chat/completions\", methods=[\"POST\"])\n",
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| 159 |
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"@app.route(\"/v1/chat/completions\", methods=[\"POST\"])\n",
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| 160 |
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"@require_password\n",
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| 161 |
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"def handle_openai_chat():\n",
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| 162 |
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" global completed_prompts, active_streams, total_duration\n",
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| 163 |
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" data = request.json\n",
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| 164 |
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" streaming = data.get(\"stream\", True)\n",
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| 165 |
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" start_time = current_time()\n",
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| 166 |
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" \n",
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| 167 |
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" result = chat_request(\n",
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| 168 |
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" messages=data.get(\"messages\"),\n",
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| 169 |
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" temp=data.get(\"temperature\"),\n",
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| 170 |
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" system=data.get(\"system\"),\n",
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| 171 |
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" model=data.get(\"model\")\n",
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| 172 |
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" )\n",
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| 173 |
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" \n",
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| 174 |
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" if not result:\n",
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| 175 |
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" return {\"error\": \"Request failed\"}\n",
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| 176 |
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" \n",
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| 177 |
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" if streaming:\n",
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| 178 |
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" active_streams += 1\n",
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| 179 |
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" def generate():\n",
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| 180 |
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" nonlocal start_time\n",
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| 181 |
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" global active_streams, completed_prompts, total_duration\n",
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| 182 |
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" try:\n",
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| 183 |
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" for l in result.iter_lines():\n",
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| 184 |
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" if not l:\n",
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| 185 |
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" continue\n",
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| 186 |
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" try:\n",
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| 187 |
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" d = json.loads(l.decode('utf-8').replace('data: ', ''))\n",
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| 188 |
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" if 'choices' in d and len(d['choices']) > 0:\n",
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| 189 |
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" chunk = d['choices'][0].get('delta', {}).get('content', '')\n",
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| 190 |
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" if chunk:\n",
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| 191 |
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" yield f\"data: {json.dumps({'choices': [{'delta': {'content': chunk}}]})}\\n\\n\"\n",
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| 192 |
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" if d.get('choices', [{}])[0].get('finish_reason') is not None:\n",
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| 193 |
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" yield f\"data: {json.dumps({'choices': [{'finish_reason': 'stop'}]})}\\n\\n\"\n",
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| 194 |
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" break\n",
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| 195 |
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" except json.JSONDecodeError as e:\n",
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| 196 |
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" print(f\"JSON decode error: {e}\")\n",
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| 197 |
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" continue\n",
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| 198 |
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" except GeneratorExit:\n",
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| 199 |
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" print(\"Generator closed prematurely\")\n",
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| 200 |
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" except Exception as e:\n",
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| 201 |
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" print(f\"Error in generator: {e}\")\n",
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| 202 |
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" finally:\n",
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| 203 |
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" active_streams -= 1\n",
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| 204 |
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" duration = current_time() - start_time\n",
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| 205 |
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" total_duration += duration\n",
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| 206 |
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" completed_prompts += 1\n",
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| 207 |
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" print(\"Generator cleanup complete\")\n",
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| 208 |
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" \n",
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| 209 |
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" return Response(stream_with_context(generate()), content_type='text/event-stream', headers={'Cache-Control': 'no-cache', 'Connection': 'keep-alive'})\n",
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| 210 |
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" else:\n",
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| 211 |
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" txt = \"\"\n",
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| 212 |
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" for l in result.iter_lines():\n",
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| 213 |
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" if not l:\n",
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| 214 |
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" continue\n",
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| 215 |
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" try:\n",
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| 216 |
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" d = json.loads(l.decode('utf-8').replace('data: ', ''))\n",
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| 217 |
-
" if 'choices' in d and len(d['choices']) > 0:\n",
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| 218 |
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" chunk = d['choices'][0].get('delta', {}).get('content', '')\n",
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| 219 |
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" if chunk:\n",
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| 220 |
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" txt += chunk\n",
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| 221 |
-
" if d.get('choices', [{}])[0].get('finish_reason') is not None:\n",
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| 222 |
-
" break\n",
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| 223 |
-
" except:\n",
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| 224 |
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" continue\n",
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| 225 |
-
" duration = current_time() - start_time\n",
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| 226 |
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" total_duration += duration\n",
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| 227 |
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" completed_prompts += 1\n",
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| 228 |
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" return {\"type\": \"message\", \"content\": [{\"type\": \"text\", \"text\": txt}]}\n",
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| 229 |
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"\n",
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| 230 |
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"@app.route(\"/messages\", methods=[\"POST\"])\n",
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| 231 |
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"@app.route(\"/v1/messages\", methods=[\"POST\"])\n",
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| 232 |
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"@require_password\n",
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| 233 |
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"def handle_anthropic_chat():\n",
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| 234 |
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" global completed_prompts, active_streams, total_duration\n",
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| 235 |
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" data = request.json\n",
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| 236 |
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" streaming = data.get(\"stream\", True)\n",
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| 237 |
-
" start_time = current_time()\n",
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| 238 |
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" \n",
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| 239 |
-
" result = chat_request(\n",
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| 240 |
-
" messages=data.get(\"messages\"),\n",
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| 241 |
-
" temp=data.get(\"temperature\"),\n",
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| 242 |
-
" system=data.get(\"system\"),\n",
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| 243 |
-
" model=data.get(\"model\")\n",
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| 244 |
-
" )\n",
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| 245 |
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" \n",
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| 246 |
-
" if not result:\n",
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| 247 |
-
" return {\"error\": \"Request failed\"}\n",
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| 248 |
-
" \n",
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| 249 |
-
" if streaming:\n",
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| 250 |
-
" active_streams += 1\n",
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| 251 |
-
" def generate():\n",
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| 252 |
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" nonlocal start_time\n",
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| 253 |
-
" global active_streams, completed_prompts, total_duration\n",
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| 254 |
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" try:\n",
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| 255 |
-
" yield f\"event: message_start\\ndata: {json.dumps({'type': 'message_start', 'message': {{'id': str(uuid.uuid4()), 'type': 'message', 'role': 'assistant', 'content': [], 'model': data.get('model'), 'stop_reason': None, 'stop_sequence': None, 'usage': {{'input_tokens': 0, 'output_tokens': 0}}}}})}\\n\\n\"\n",
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| 256 |
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" \n",
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| 257 |
-
" for l in result.iter_lines():\n",
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| 258 |
-
" if not l:\n",
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| 259 |
-
" continue\n",
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| 260 |
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" try:\n",
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| 261 |
-
" d = json.loads(l.decode('utf-8').replace('data: ', ''))\n",
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| 262 |
-
" if 'choices' in d and len(d['choices']) > 0:\n",
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| 263 |
-
" chunk = d['choices'][0].get('delta', {}).get('content', '')\n",
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| 264 |
-
" if chunk:\n",
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| 265 |
-
" yield f\"event: content_block_delta\\ndata: {json.dumps({'type': 'content_block_delta', 'index': 0, 'delta': {{'type': 'text_delta', 'text': chunk}}})}\\n\\n\"\n",
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| 266 |
-
" if d.get('choices', [{}])[0].get('finish_reason') is not None:\n",
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| 267 |
-
" yield f\"event: content_block_stop\\ndata: {json.dumps({'type': 'content_block_stop', 'index': 0})}\\n\\n\"\n",
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| 268 |
-
" yield f\"event: message_delta\\ndata: {json.dumps({'type': 'message_delta', 'delta': {{'stop_reason': 'end_turn', 'stop_sequence': None}}, 'usage': {{'output_tokens': 0}}})}\\n\\n\"\n",
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| 269 |
-
" yield f\"event: message_stop\\ndata: {json.dumps({'type': 'message_stop'})}\\n\\n\"\n",
|
| 270 |
-
" break\n",
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| 271 |
-
" except json.JSONDecodeError as e:\n",
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| 272 |
-
" print(f\"JSON decode error: {e}\")\n",
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| 273 |
-
" continue\n",
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| 274 |
-
" except GeneratorExit:\n",
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| 275 |
-
" print(\"Generator closed prematurely\")\n",
|
| 276 |
-
" except Exception as e:\n",
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| 277 |
-
" print(f\"Error in generator: {e}\")\n",
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| 278 |
-
" finally:\n",
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| 279 |
-
" active_streams -= 1\n",
|
| 280 |
-
" duration = current_time() - start_time\n",
|
| 281 |
-
" total_duration += duration\n",
|
| 282 |
-
" completed_prompts += 1\n",
|
| 283 |
-
" print(\"Generator cleanup complete\")\n",
|
| 284 |
-
" \n",
|
| 285 |
-
" return Response(stream_with_context(generate()), content_type='text/event-stream', headers={'Cache-Control': 'no-cache', 'Connection': 'keep-alive'})\n",
|
| 286 |
-
" else:\n",
|
| 287 |
-
" txt = \"\"\n",
|
| 288 |
-
" for l in result.iter_lines():\n",
|
| 289 |
-
" if not l:\n",
|
| 290 |
-
" continue\n",
|
| 291 |
-
" try:\n",
|
| 292 |
-
" d = json.loads(l.decode('utf-8').replace('data: ', ''))\n",
|
| 293 |
-
" if 'choices' in d and len(d['choices']) > 0:\n",
|
| 294 |
-
" chunk = d['choices'][0].get('delta', {}).get('content', '')\n",
|
| 295 |
-
" if chunk:\n",
|
| 296 |
-
" txt += chunk\n",
|
| 297 |
-
" if d.get('choices', [{}])[0].get('finish_reason') is not None:\n",
|
| 298 |
-
" break\n",
|
| 299 |
-
" except:\n",
|
| 300 |
-
" continue\n",
|
| 301 |
-
" duration = current_time() - start_time\n",
|
| 302 |
-
" total_duration += duration\n",
|
| 303 |
-
" completed_prompts += 1\n",
|
| 304 |
-
" return {\n",
|
| 305 |
-
" \"content\": [{\"text\": txt, \"type\": \"text\"}],\n",
|
| 306 |
-
" \"id\": str(uuid.uuid4()),\n",
|
| 307 |
-
" \"model\": data.get(\"model\"),\n",
|
| 308 |
-
" \"role\": \"assistant\",\n",
|
| 309 |
-
" \"stop_reason\": \"end_turn\",\n",
|
| 310 |
-
" \"stop_sequence\": None,\n",
|
| 311 |
-
" \"type\": \"message\",\n",
|
| 312 |
-
" \"usage\": {\n",
|
| 313 |
-
" \"input_tokens\": 0,\n",
|
| 314 |
-
" \"output_tokens\": len(txt.split())\n",
|
| 315 |
-
" }\n",
|
| 316 |
-
" }\n",
|
| 317 |
-
"\n",
|
| 318 |
-
"@app.route(\"/models\", methods=[\"GET\"])\n",
|
| 319 |
-
"def list_models():\n",
|
| 320 |
-
" try:\n",
|
| 321 |
-
" response = requests.get(\"https://openrouter.ai/api/v1/models\", headers={\"User-Agent\": user_agent})\n",
|
| 322 |
-
" if response.ok:\n",
|
| 323 |
-
" return response.json()\n",
|
| 324 |
-
" else:\n",
|
| 325 |
-
" return {\"error\": \"Failed to fetch models\"}, response.status_code\n",
|
| 326 |
-
" except requests.RequestException as e:\n",
|
| 327 |
-
" return {\"error\": str(e)}, 500\n",
|
| 328 |
-
"\n",
|
| 329 |
-
"if __name__ == \"__main__\":\n",
|
| 330 |
-
" app.run(port=7860)"
|
| 331 |
-
]
|
| 332 |
-
}
|
| 333 |
-
],
|
| 334 |
-
"metadata": {
|
| 335 |
-
"kernelspec": {
|
| 336 |
-
"display_name": "Python 3",
|
| 337 |
-
"language": "python",
|
| 338 |
-
"name": "python3"
|
| 339 |
-
},
|
| 340 |
-
"language_info": {
|
| 341 |
-
"codemirror_mode": {
|
| 342 |
-
"name": "ipython",
|
| 343 |
-
"version": 3
|
| 344 |
-
},
|
| 345 |
-
"file_extension": ".py",
|
| 346 |
-
"mimetype": "text/x-python",
|
| 347 |
-
"name": "python",
|
| 348 |
-
"nbconvert_exporter": "python",
|
| 349 |
-
"pygments_lexer": "ipython3",
|
| 350 |
-
"version": "3.13.1"
|
| 351 |
-
}
|
| 352 |
-
},
|
| 353 |
-
"nbformat": 4,
|
| 354 |
-
"nbformat_minor": 2
|
| 355 |
-
}
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