feat: AI聊天室多Agent协作讨论平台
- 实现Agent管理，支持AI辅助生成系统提示词 - 支持多个AI提供商（OpenRouter、智谱、MiniMax等） - 实现聊天室和讨论引擎 - WebSocket实时消息推送 - 前端使用React + Ant Design - 后端使用FastAPI + MongoDB Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
This commit is contained in:
Claude Code
197
backend/adapters/deepseek_adapter.py
Normal file
197
backend/adapters/deepseek_adapter.py
Normal file
@@ -0,0 +1,197 @@
|
||||
"""
|
||||
DeepSeek适配器
|
||||
支持DeepSeek大模型API
|
||||
"""
|
||||
import json
|
||||
from datetime import datetime
|
||||
from typing import List, Dict, Any, Optional, AsyncGenerator
|
||||
from loguru import logger
|
||||
|
||||
from .base_adapter import BaseAdapter, ChatMessage, AdapterResponse
|
||||
from utils.proxy_handler import get_http_client
|
||||
|
||||
|
||||
class DeepSeekAdapter(BaseAdapter):
|
||||
"""
|
||||
DeepSeek API适配器
|
||||
兼容OpenAI API格式
|
||||
"""
|
||||
|
||||
DEFAULT_BASE_URL = "https://api.deepseek.com/v1"
|
||||
|
||||
def __init__(
|
||||
self,
|
||||
api_key: str,
|
||||
base_url: str = "",
|
||||
model: str = "deepseek-chat",
|
||||
use_proxy: bool = False,
|
||||
proxy_config: Optional[Dict[str, Any]] = None,
|
||||
timeout: int = 60,
|
||||
**kwargs
|
||||
):
|
||||
super().__init__(
|
||||
api_key=api_key,
|
||||
base_url=base_url or self.DEFAULT_BASE_URL,
|
||||
model=model,
|
||||
use_proxy=use_proxy,
|
||||
proxy_config=proxy_config,
|
||||
timeout=timeout,
|
||||
**kwargs
|
||||
)
|
||||
|
||||
async def chat(
|
||||
self,
|
||||
messages: List[ChatMessage],
|
||||
temperature: float = 0.7,
|
||||
max_tokens: int = 2000,
|
||||
**kwargs
|
||||
) -> AdapterResponse:
|
||||
"""发送聊天请求"""
|
||||
start_time = datetime.utcnow()
|
||||
|
||||
try:
|
||||
async with get_http_client(
|
||||
use_proxy=self.use_proxy,
|
||||
proxy_config=self.proxy_config,
|
||||
timeout=self.timeout
|
||||
) as client:
|
||||
headers = {
|
||||
"Authorization": f"Bearer {self.api_key}",
|
||||
"Content-Type": "application/json"
|
||||
}
|
||||
|
||||
payload = {
|
||||
"model": self.model,
|
||||
"messages": self._build_messages(messages),
|
||||
"temperature": temperature,
|
||||
"max_tokens": max_tokens,
|
||||
**kwargs
|
||||
}
|
||||
|
||||
response = await client.post(
|
||||
f"{self.base_url}/chat/completions",
|
||||
headers=headers,
|
||||
json=payload
|
||||
)
|
||||
|
||||
if response.status_code != 200:
|
||||
error_text = response.text
|
||||
logger.error(f"DeepSeek API错误: {response.status_code} - {error_text}")
|
||||
return AdapterResponse(
|
||||
success=False,
|
||||
error=f"API错误: {response.status_code} - {error_text}",
|
||||
latency_ms=self._calculate_latency(start_time)
|
||||
)
|
||||
|
||||
data = response.json()
|
||||
choice = data.get("choices", [{}])[0]
|
||||
message = choice.get("message", {})
|
||||
usage = data.get("usage", {})
|
||||
|
||||
return AdapterResponse(
|
||||
success=True,
|
||||
content=message.get("content", ""),
|
||||
model=data.get("model", self.model),
|
||||
finish_reason=choice.get("finish_reason", ""),
|
||||
prompt_tokens=usage.get("prompt_tokens", 0),
|
||||
completion_tokens=usage.get("completion_tokens", 0),
|
||||
total_tokens=usage.get("total_tokens", 0),
|
||||
latency_ms=self._calculate_latency(start_time),
|
||||
tool_calls=message.get("tool_calls", [])
|
||||
)
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"DeepSeek请求异常: {e}")
|
||||
return AdapterResponse(
|
||||
success=False,
|
||||
error=str(e),
|
||||
latency_ms=self._calculate_latency(start_time)
|
||||
)
|
||||
|
||||
async def chat_stream(
|
||||
self,
|
||||
messages: List[ChatMessage],
|
||||
temperature: float = 0.7,
|
||||
max_tokens: int = 2000,
|
||||
**kwargs
|
||||
) -> AsyncGenerator[str, None]:
|
||||
"""发送流式聊天请求"""
|
||||
try:
|
||||
async with get_http_client(
|
||||
use_proxy=self.use_proxy,
|
||||
proxy_config=self.proxy_config,
|
||||
timeout=self.timeout
|
||||
) as client:
|
||||
headers = {
|
||||
"Authorization": f"Bearer {self.api_key}",
|
||||
"Content-Type": "application/json"
|
||||
}
|
||||
|
||||
payload = {
|
||||
"model": self.model,
|
||||
"messages": self._build_messages(messages),
|
||||
"temperature": temperature,
|
||||
"max_tokens": max_tokens,
|
||||
"stream": True,
|
||||
**kwargs
|
||||
}
|
||||
|
||||
async with client.stream(
|
||||
"POST",
|
||||
f"{self.base_url}/chat/completions",
|
||||
headers=headers,
|
||||
json=payload
|
||||
) as response:
|
||||
async for line in response.aiter_lines():
|
||||
if line.startswith("data: "):
|
||||
data_str = line[6:]
|
||||
if data_str.strip() == "[DONE]":
|
||||
break
|
||||
try:
|
||||
data = json.loads(data_str)
|
||||
delta = data.get("choices", [{}])[0].get("delta", {})
|
||||
content = delta.get("content", "")
|
||||
if content:
|
||||
yield content
|
||||
except json.JSONDecodeError:
|
||||
continue
|
||||
|
||||
except Exception as e:
|
||||
logger.error(f"DeepSeek流式请求异常: {e}")
|
||||
yield f"[错误: {str(e)}]"
|
||||
|
||||
async def test_connection(self) -> Dict[str, Any]:
|
||||
"""测试API连接"""
|
||||
start_time = datetime.utcnow()
|
||||
|
||||
try:
|
||||
test_messages = [
|
||||
ChatMessage(role="user", content="你好，请回复'OK'")
|
||||
]
|
||||
|
||||
response = await self.chat(
|
||||
messages=test_messages,
|
||||
temperature=0,
|
||||
max_tokens=10
|
||||
)
|
||||
|
||||
if response.success:
|
||||
return {
|
||||
"success": True,
|
||||
"message": "连接成功",
|
||||
"model": response.model,
|
||||
"latency_ms": response.latency_ms
|
||||
}
|
||||
else:
|
||||
return {
|
||||
"success": False,
|
||||
"message": response.error,
|
||||
"latency_ms": response.latency_ms
|
||||
}
|
||||
|
||||
except Exception as e:
|
||||
return {
|
||||
"success": False,
|
||||
"message": str(e),
|
||||
"latency_ms": self._calculate_latency(start_time)
|
||||
}
|
||||
Reference in New Issue
Block a user