完成世界书、骰子、apiconfig页面处理

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2026-04-30 01:35:10 +08:00
parent a3e3711b2b
commit ba9b925c32
4602 changed files with 785225 additions and 23 deletions

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"""
LLM 模型管理服务
提供获取不同 LLM 提供商可用模型列表的功能
"""
from typing import List, Dict, Any, Optional
import requests
class LLMModelService:
"""LLM 模型管理服务"""
@staticmethod
def get_openai_models(api_key: str, base_url: Optional[str] = None) -> List[str]:
"""
获取 OpenAI 兼容 API 的模型列表
Args:
api_key: API Key
base_url: API 基础 URL默认为 OpenAI 官方 API
Returns:
模型名称列表
"""
try:
# 默认使用 OpenAI 官方 API
if not base_url:
base_url = "https://api.openai.com/v1"
# 确保 base_url 以 /v1 结尾
if not base_url.endswith('/v1'):
base_url = base_url.rstrip('/') + '/v1'
response = requests.get(
f"{base_url}/models",
headers={
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json"
},
timeout=10
)
if response.status_code != 200:
raise Exception(f"HTTP {response.status_code}: {response.text}")
data = response.json()
models = [model['id'] for model in data.get('data', [])]
# 过滤出聊天模型(可选)
chat_models = [
m for m in models
if any(keyword in m.lower() for keyword in ['gpt', 'chat'])
]
# 如果没有找到聊天模型,返回所有模型
return chat_models if chat_models else models
except Exception as e:
raise Exception(f"获取 OpenAI 模型列表失败: {str(e)}")
@staticmethod
def get_anthropic_models(api_key: str) -> List[str]:
"""
获取 Anthropic Claude 模型列表
Args:
api_key: API Key
Returns:
模型名称列表
"""
try:
# Anthropic 没有公开的模型列表 API返回已知模型
return [
"claude-3-5-sonnet-20241022",
"claude-3-5-haiku-20241022",
"claude-3-opus-20240229",
"claude-3-sonnet-20240229",
"claude-3-haiku-20240307",
"claude-2.1",
"claude-2.0",
"claude-instant-1.2"
]
except Exception as e:
raise Exception(f"获取 Anthropic 模型列表失败: {str(e)}")
@staticmethod
def get_ollama_models(base_url: str = "http://localhost:11434") -> List[str]:
"""
获取 Ollama 本地模型列表
Args:
base_url: Ollama API 地址
Returns:
模型名称列表
"""
try:
response = requests.get(
f"{base_url}/api/tags",
timeout=10
)
if response.status_code != 200:
raise Exception(f"HTTP {response.status_code}: {response.text}")
data = response.json()
models = [model['name'] for model in data.get('models', [])]
return models
except Exception as e:
raise Exception(f"获取 Ollama 模型列表失败: {str(e)}")
@staticmethod
def detect_provider(api_url: str) -> str:
"""
根据 API URL 检测提供商类型
Args:
api_url: API 地址
Returns:
提供商类型: 'openai', 'anthropic', 'ollama', 'unknown'
"""
api_url_lower = api_url.lower()
if 'openai' in api_url_lower or 'api.openai.com' in api_url_lower:
return 'openai'
elif 'anthropic' in api_url_lower or 'api.anthropic.com' in api_url_lower:
return 'anthropic'
elif 'ollama' in api_url_lower or 'localhost:11434' in api_url_lower or '127.0.0.1:11434' in api_url_lower:
return 'ollama'
elif 'siliconflow' in api_url_lower or 'silicon.cloud' in api_url_lower:
# SiliconFlow 等兼容 OpenAI API 的服务
return 'openai'
elif 'deepseek' in api_url_lower:
# DeepSeek 等兼容 OpenAI API 的服务
return 'openai'
else:
# 默认尝试 OpenAI 兼容 API
return 'openai'
@staticmethod
def get_models_by_provider(
provider: str,
api_key: str,
api_url: Optional[str] = None
) -> List[str]:
"""
根据提供商类型获取模型列表
Args:
provider: 提供商类型 ('openai', 'anthropic', 'ollama')
api_key: API Key
api_url: API 地址(可选)
Returns:
模型名称列表
"""
if provider == 'openai':
return LLMModelService.get_openai_models(api_key, api_url)
elif provider == 'anthropic':
return LLMModelService.get_anthropic_models(api_key)
elif provider == 'ollama':
base_url = api_url or "http://localhost:11434"
# 移除 /v1 后缀(如果有)
base_url = base_url.replace('/v1', '').replace('/v1/', '')
return LLMModelService.get_ollama_models(base_url)
else:
raise Exception(f"不支持的提供商: {provider}")