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llm-proxy/app.py

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"""
大模型API中转系统
兼容OpenAI API格式支持多上游提供商优先级调度
"""
from flask import Flask, request, jsonify, Response, stream_with_context
from flask_cors import CORS
import requests
import json
import time
import logging
from datetime import datetime, date
from pathlib import Path
import sys
import threading
# 添加配置路径
sys.path.insert(0, str(Path(__file__).parent))
from config.settings import (
get_providers, get_model_aliases, get_auto_profiles, SERVER_CONFIG,
LOG_CONFIG, RETRY_CONFIG
)
# 数据目录和统计文件
DATA_DIR = Path(__file__).parent / 'data'
DATA_DIR.mkdir(exist_ok=True)
STATS_FILE = DATA_DIR / 'stats.json'
# 统计锁(避免并发写入冲突)
stats_lock = threading.Lock()
def load_stats():
"""加载统计数据"""
if STATS_FILE.exists():
try:
return json.loads(STATS_FILE.read_text(encoding='utf-8'))
except:
pass
return {
'total_requests': 0,
'total_success': 0,
'total_errors': 0,
'total_tokens': 0,
'requests_today': 0,
'requests_by_model': {},
'providers': {},
'last_updated': None,
'date': None # 用于判断是否需要重置每日计数
}
def save_stats(stats):
"""保存统计数据"""
stats['last_updated'] = datetime.now().isoformat()
STATS_FILE.write_text(json.dumps(stats, ensure_ascii=False, indent=2), encoding='utf-8')
def increment_stats(model, provider_name, success=False, tokens=0, error=None):
"""增加统计计数"""
with stats_lock:
stats = load_stats()
today = date.today().isoformat()
# 如果是新的一天,重置每日计数
if stats.get('date') != today:
stats['date'] = today
stats['requests_today'] = 0
stats['total_requests'] += 1
stats['requests_today'] += 1
# 模型统计
if model not in stats['requests_by_model']:
stats['requests_by_model'][model] = {'count': 0, 'success': 0, 'tokens': 0}
stats['requests_by_model'][model]['count'] += 1
if success:
stats['requests_by_model'][model]['success'] += 1
stats['requests_by_model'][model]['tokens'] += tokens
# 提供商统计
if provider_name not in stats['providers']:
stats['providers'][provider_name] = {'requests': 0, 'success': 0, 'errors': 0, 'tokens': 0}
stats['providers'][provider_name]['requests'] += 1
if success:
stats['providers'][provider_name]['success'] += 1
stats['providers'][provider_name]['tokens'] += tokens
stats['total_success'] += 1
stats['total_tokens'] += tokens
else:
stats['providers'][provider_name]['errors'] += 1
stats['total_errors'] += 1
save_stats(stats)
app = Flask(__name__)
CORS(app)
# 配置缓存时间(秒)
CONFIG_CACHE_TTL = 5
_last_config_load = 0
_cached_providers = []
_cached_aliases = {}
_cached_auto_profiles = {}
def refresh_config():
"""动态刷新配置(支持后台管理修改)"""
global _last_config_load, _cached_providers, _cached_aliases, _cached_auto_profiles, provider_status
current_time = time.time()
if current_time - _last_config_load > CONFIG_CACHE_TTL:
_cached_providers = get_providers()
_cached_aliases = get_model_aliases()
_cached_auto_profiles = get_auto_profiles()
_last_config_load = current_time
# 更新提供商状态缓存(新增的提供商)
for provider in _cached_providers:
if provider['name'] not in provider_status:
provider_status[provider['name']] = {
'available': True,
'last_check': None,
'error_count': 0,
'last_error': None,
}
# 配置日志
log_dir = Path(__file__).parent / LOG_CONFIG['log_dir']
log_dir.mkdir(exist_ok=True)
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
handlers=[
logging.FileHandler(log_dir / 'proxy.log', encoding='utf-8'),
logging.StreamHandler()
]
)
logger = logging.getLogger(__name__)
# 提供商状态缓存
provider_status = {}
# 初始化
refresh_config()
def get_provider_for_model(model_name):
"""根据模型名获取提供商"""
refresh_config()
# 解析别名
resolved_model = _cached_aliases.get(model_name, model_name)
# auto模式按优先级选择可用提供商
if resolved_model == 'auto' or resolved_model.startswith('auto-'):
return get_available_provider_for_auto(resolved_model)
# 查找支持该模型的提供商
sorted_providers = sorted(_cached_providers, key=lambda x: x['priority'])
for provider in sorted_providers:
if not provider['enabled']:
continue
if not provider_status.get(provider['name'], {}).get('available', True):
continue
if resolved_model in provider['models']:
return provider, resolved_model
# 如果没找到精确匹配,尝试模糊匹配
for provider in sorted_providers:
if not provider['enabled']:
continue
if not provider_status.get(provider['name'], {}).get('available', True):
continue
for m in provider['models']:
if resolved_model.lower() in m.lower() or m.lower() in resolved_model.lower():
return provider, m
return None, None
def get_available_provider_for_auto(auto_name='auto'):
"""获取auto模式下的可用提供商支持自定义auto配置"""
refresh_config()
# 获取auto配置
profile = _cached_auto_profiles.get(auto_name, _cached_auto_profiles.get('auto', {}))
# 获取允许的提供商
allowed_providers = profile.get('providers', ['*'])
# 筛选提供商
sorted_providers = sorted(_cached_providers, key=lambda x: x['priority'])
candidates = []
for provider in sorted_providers:
if not provider['enabled']:
continue
if not provider_status.get(provider['name'], {}).get('available', True):
continue
# 检查是否在允许列表中
if '*' in allowed_providers:
candidates.append(provider)
elif provider.get('id') in allowed_providers or provider['name'] in allowed_providers:
candidates.append(provider)
# 根据策略选择
strategy = profile.get('strategy', 'priority')
if not candidates:
# 如果没有候选,返回第一个尝试(让错误信息传递)
if sorted_providers:
return sorted_providers[0], sorted_providers[0]['default_model']
return None, None
if strategy == 'priority':
# 按优先级选择第一个
return candidates[0], candidates[0]['default_model']
elif strategy == 'random':
# 随机选择
import random
selected = random.choice(candidates)
return selected, selected['default_model']
else:
# 默认按优先级
return candidates[0], candidates[0]['default_model']
def mark_provider_error(provider_name, error):
"""标记提供商错误"""
if provider_name in provider_status:
provider_status[provider_name]['error_count'] += 1
provider_status[provider_name]['last_error'] = str(error)
provider_status[provider_name]['last_check'] = datetime.now()
# 连续错误超过阈值,暂时标记不可用
if provider_status[provider_name]['error_count'] >= 3:
provider_status[provider_name]['available'] = False
logger.warning(f"Provider {provider_name} marked as unavailable due to errors")
def mark_provider_success(provider_name):
"""标记提供商成功"""
if provider_name in provider_status:
provider_status[provider_name]['error_count'] = 0
provider_status[provider_name]['available'] = True
provider_status[provider_name]['last_check'] = datetime.now()
def proxy_request(provider, model, request_data, stream=False):
"""转发请求到上游提供商"""
url = f"{provider['base_url'].rstrip('/')}/chat/completions"
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {provider['api_key']}"
}
# 构建请求数据
data = request_data.copy()
data['model'] = model
try:
if stream:
# 流式请求
response = requests.post(
url,
headers=headers,
json=data,
stream=True,
timeout=provider.get('timeout', 120)
)
return response
else:
# 非流式请求
response = requests.post(
url,
headers=headers,
json=data,
timeout=provider.get('timeout', 120)
)
return response
except requests.exceptions.Timeout:
mark_provider_error(provider['name'], "Timeout")
raise Exception(f"Provider {provider['name']} timeout")
except requests.exceptions.ConnectionError:
mark_provider_error(provider['name'], "Connection error")
raise Exception(f"Provider {provider['name']} connection error")
except Exception as e:
mark_provider_error(provider['name'], str(e))
raise
def stream_response(response):
"""流式响应生成器"""
try:
for line in response.iter_lines():
if line:
yield line + b'\n'
except Exception as e:
logger.error(f"Stream error: {e}")
yield b'data: {"error": "' + str(e).encode() + b'"}\n\n'
# ============ API 路由 ============
@app.route('/')
def index():
"""首页"""
return jsonify({
"name": "LLM Proxy",
"version": "1.0.0",
"description": "OpenAI-compatible LLM API Proxy",
"endpoints": {
"chat": "/v1/chat/completions",
"models": "/v1/models",
"embeddings": "/v1/embeddings",
"health": "/health",
"status": "/status"
},
"examples": {
"curl": {
"description": "curl 命令行",
"code": "curl -X POST http://localhost:19007/v1/chat/completions -H 'Content-Type: application/json' -d '{\"model\": \"auto\", \"messages\": [{\"role\": \"user\", \"content\": \"你好\"}]}'"
},
"python_openai": {
"description": "Python OpenAI SDK",
"code": "from openai import OpenAI\nclient = OpenAI(base_url='http://localhost:19007/v1', api_key='any')\nresponse = client.chat.completions.create(model='auto', messages=[{'role': 'user', 'content': '你好'}])\nprint(response.choices[0].message.content)"
},
"python_requests": {
"description": "Python requests",
"code": "import requests\nresponse = requests.post('http://localhost:19007/v1/chat/completions', json={'model': 'auto', 'messages': [{'role': 'user', 'content': '你好'}]})\nprint(response.json()['choices'][0]['message']['content'])"
},
"javascript": {
"description": "JavaScript fetch",
"code": "fetch('http://localhost:19007/v1/chat/completions', {method: 'POST', headers: {'Content-Type': 'application/json'}, body: JSON.stringify({model: 'auto', messages: [{role: 'user', content: '你好'}]})}).then(r => r.json()).then(d => console.log(d.choices[0].message.content))"
}
}
})
@app.route('/v1/models', methods=['GET'])
def list_models():
"""列出可用模型"""
refresh_config()
models_list = []
added_models = set()
# 添加所有auto配置
for profile_name, profile in _cached_auto_profiles.items():
if profile_name not in added_models:
models_list.append({
"id": profile_name,
"object": "model",
"created": int(time.time()),
"owned_by": "proxy",
"description": profile.get('description', 'Auto-select available model')
})
added_models.add(profile_name)
for provider in _cached_providers:
if not provider['enabled']:
continue
for model in provider['models']:
if model not in added_models:
models_list.append({
"id": model,
"object": "model",
"created": int(time.time()),
"owned_by": provider['name'],
})
added_models.add(model)
return jsonify({
"object": "list",
"data": models_list
})
@app.route('/v1/chat/completions', methods=['POST'])
def chat_completions():
"""聊天完成API"""
# 用于统计的变量
request_model = None
request_provider = None
request_success = False
request_tokens = 0
try:
data = request.get_json()
if not data:
increment_stats('unknown', 'unknown', success=False, error='Invalid request body')
return jsonify({"error": "Invalid request body"}), 400
model = data.get('model', 'auto')
stream = data.get('stream', False)
request_model = model
# 获取提供商
provider, resolved_model = get_provider_for_model(model)
if not provider:
increment_stats(model, 'unknown', success=False, error=f'No provider for model: {model}')
return jsonify({
"error": {
"message": f"No available provider for model: {model}",
"type": "invalid_request_error"
}
}), 400
request_provider = provider['name']
logger.info(f"Request: model={model} -> provider={provider['name']}, resolved_model={resolved_model}, stream={stream}")
# 重试逻辑
last_error = None
tried_providers = []
for attempt in range(RETRY_CONFIG['max_retries']):
try:
response = proxy_request(provider, resolved_model, data, stream)
if response.status_code == 200:
mark_provider_success(provider['name'])
request_success = True
if stream:
# 流式响应 - 统计流式请求
increment_stats(model, provider['name'], success=True, tokens=0)
return Response(
stream_with_context(stream_response(response)),
content_type='text/event-stream',
headers={
'Cache-Control': 'no-cache',
'Connection': 'keep-alive',
}
)
else:
# 非流式响应 - 提取token统计
result = response.json()
# 尝试提取usage信息
usage = result.get('usage', {})
request_tokens = usage.get('total_tokens', 0)
increment_stats(model, provider['name'], success=True, tokens=request_tokens)
return jsonify(result)
elif response.status_code == 429:
# 速率限制,尝试下一个提供商
mark_provider_error(provider['name'], "Rate limit")
tried_providers.append(provider['name'])
# 尝试下一个提供商
next_provider, next_model = get_available_provider_for_auto('auto')
if next_provider and next_provider['name'] not in tried_providers:
provider = next_provider
resolved_model = next_model
request_provider = provider['name']
continue
increment_stats(model, provider['name'], success=False, error='Rate limit')
return jsonify(response.json()), response.status_code
else:
last_error = response.json() if response.headers.get('content-type', '').startswith('application/json') else {"error": response.text}
increment_stats(model, provider['name'], success=False, error=str(last_error))
return jsonify(last_error), response.status_code
except Exception as e:
last_error = str(e)
logger.error(f"Attempt {attempt + 1} failed: {e}")
tried_providers.append(provider['name'])
# 尝试下一个提供商
next_provider, next_model = get_available_provider_for_auto('auto')
if next_provider and next_provider['name'] not in tried_providers:
provider = next_provider
resolved_model = next_model
request_provider = provider['name']
time.sleep(RETRY_CONFIG['retry_delay'])
continue
# 所有重试都失败
increment_stats(model, request_provider or 'unknown', success=False, error=str(last_error))
return jsonify({
"error": {
"message": f"All providers failed. Last error: {last_error}",
"type": "api_error"
}
}), 503
except Exception as e:
logger.error(f"Unexpected error: {e}")
increment_stats(request_model or 'unknown', request_provider or 'unknown', success=False, error=str(e))
return jsonify({
"error": {
"message": str(e),
"type": "internal_error"
}
}), 500
@app.route('/v1/embeddings', methods=['POST'])
def embeddings():
"""嵌入API简单转发"""
refresh_config()
try:
data = request.get_json()
model = data.get('model', 'text-embedding-ada-002')
# 使用第一个可用提供商
if _cached_providers:
provider = _cached_providers[0]
url = f"{provider['base_url'].rstrip('/')}/embeddings"
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {provider['api_key']}"
}
response = requests.post(url, headers=headers, json=data, timeout=60)
return jsonify(response.json()), response.status_code
else:
return jsonify({"error": "No providers available"}), 503
except Exception as e:
return jsonify({"error": str(e)}), 500
@app.route('/health', methods=['GET'])
def health():
"""健康检查"""
available_count = sum(1 for s in provider_status.values() if s['available'])
total_count = len(provider_status)
return jsonify({
"status": "healthy" if available_count > 0 else "degraded",
"providers": {
"available": available_count,
"total": total_count,
},
"timestamp": datetime.now().isoformat()
})
@app.route('/status', methods=['GET'])
def status():
"""详细状态"""
refresh_config()
providers_detail = []
for provider in _cached_providers:
status_info = provider_status.get(provider['name'], {})
providers_detail.append({
"name": provider['name'],
"priority": provider['priority'],
"enabled": provider['enabled'],
"available": status_info.get('available', True),
"error_count": status_info.get('error_count', 0),
"last_error": status_info.get('last_error'),
"models": provider['models'],
})
return jsonify({
"version": "1.0.0",
"uptime": time.time(),
"providers": providers_detail,
"model_aliases": _cached_aliases,
})
# 兼容 OpenAI SDK 的其他端点
@app.route('/v1/engines', methods=['GET'])
def list_engines():
"""兼容旧版 engines 端点"""
return list_models()
@app.route('/v1/engines/<model>/completions', methods=['POST'])
def engine_completions(model):
"""兼容旧版 completions 端点"""
data = request.get_json()
data['model'] = model
return chat_completions()
if __name__ == '__main__':
refresh_config()
print("=" * 60)
print("大模型API中转系统")
print("=" * 60)
print(f"访问地址: http://localhost:{SERVER_CONFIG['port']}")
print(f"API端点: http://localhost:{SERVER_CONFIG['port']}/v1/chat/completions")
print("=" * 60)
print("上游提供商:")
for p in sorted(_cached_providers, key=lambda x: x['priority']):
print(f" [{p['priority']}] {p['name']}: {p['base_url']}")
print(f" 模型: {', '.join(p['models'])}")
print("=" * 60)
print("支持的模型别名:")
for alias, target in _cached_aliases.items():
print(f" {alias} -> {target}")
print("=" * 60)
app.run(
host=SERVER_CONFIG['host'],
port=SERVER_CONFIG['port'],
debug=SERVER_CONFIG['debug']
)