"""
title: DeepSeek R1
author: zgccrui
reviser: KinglyWayne
reviser: drudream
description: 在OpwenWebUI中显示DeepSeek R1模型的思维链 - 仅支持0.5.6及以上版本, 修复deepseek r1生成内容缺少开头<think>标签的问题，修复联网搜索和生成标题出错的问题，通过添加处理非流式传输时不添加<think>标签来实现。
version: 1.2.10-r2
licence: MIT
"""
import json
import httpx
import re
from typing import AsyncGenerator, Callable, Awaitable
from pydantic import BaseModel, Field
import asyncio
class Pipe:
class Valves(BaseModel):
DEEPSEEK_API_BASE_URL: str = Field(
default="https://api.deepseek.com/v1",
description="DeepSeek API的基础请求地址",
)
DEEPSEEK_API_KEY: str = Field(
default="", description="用于身份验证的DeepSeek API密钥，可从控制台获取"
)
DEEPSEEK_API_MODEL: str = Field(
default="deepseek-reasoner",
description="API请求的模型名称，默认为 deepseek-reasoner ",
)
DEEPSEEK_MODEL_DISPLAY_NAME: str = Field(
default="deepseek-reasoner-model",
description="模型名称，默认为 deepseek-reasoner-model",
)
def __init__(self):
self.valves = self.Valves()
self.data_prefix = "data:"
self.emitter = None
def pipes(self):
return [
{
"id": self.valves.DEEPSEEK_API_MODEL,
"name": self.valves.DEEPSEEK_MODEL_DISPLAY_NAME,
}
]
async def pipe(
self, body: dict, __event_emitter__: Callable[[dict], Awaitable[None]] = None
) -> AsyncGenerator[str, None]:
"""主处理管道（已移除缓冲）"""
thinking_state = {"thinking": -1} # 使用字典来存储thinking状态
self.emitter = __event_emitter__
# 验证配置
if not self.valves.DEEPSEEK_API_KEY:
yield json.dumps({"error": "未配置API密钥"}, ensure_ascii=False)
return
# 准备请求参数
headers = {
"Authorization": f"Bearer {self.valves.DEEPSEEK_API_KEY}",
"Content-Type": "application/json",
}
try:
# 模型ID提取
model_id = body["model"].split(".", 1)[-1]
payload = {**body, "model": model_id}
# 处理消息以防止连续的相同角色
messages = payload["messages"]
i = 0
while i < len(messages) - 1:
if messages[i]["role"] == messages[i + 1]["role"]:
# 插入具有替代角色的占位符消息
alternate_role = (
"assistant" if messages[i]["role"] == "user" else "user"
)
messages.insert(
i + 1,
{"role": alternate_role, "content": "[Unfinished thinking]"},
)
i += 1
async with httpx.AsyncClient(http2=True) as client:
# 判断是否为流式请求
if payload.get("stream", False):
# ========== 流式处理 ==========
async with client.stream(
"POST",
f"{self.valves.DEEPSEEK_API_BASE_URL}/chat/completions",
json=payload,
headers=headers,
timeout=300,
) as response:
if response.status_code != 200:
error = await response.aread()
yield self._format_error(response.status_code, error)
return
add_think_tag = False
async for line in response.aiter_lines():
if not line.startswith(self.data_prefix):
continue
if line.strip() == "data: [DONE]":
return
try:
data = json.loads(line[len(self.data_prefix) :])
except json.JSONDecodeError as e:
error_detail = f"解析失败 - 内容：{line}，原因：{e}"
yield self._format_error(
"JSONDecodeError", error_detail
)
return
choice = data.get("choices", [{}])[0]
if choice.get("finish_reason"):
return
# 状态机处理
state_output = await self._update_thinking_state(
choice.get("delta", {}), thinking_state
)
if state_output:
yield state_output
if state_output == "<think>":
yield "\n"
# 内容处理
content = self._process_content(choice["delta"])
if content:
if content.startswith("<think>"):
add_think_tag = True
content = content.replace("<think>", "", 1)
yield "<think>"
await asyncio.sleep(0.1)
yield "\n"
elif not add_think_tag:
add_think_tag = True
yield "<think>"
await asyncio.sleep(0.1)
yield "\n"
elif content.startswith("</think>"):
content = content.replace("</think>", "", 1)
yield "</think>"
await asyncio.sleep(0.1)
yield "\n"
yield content
else:
# ========== 非流式处理 ==========
response = await client.post(
f"{self.valves.DEEPSEEK_API_BASE_URL}/chat/completions",
json=payload,
headers=headers,
timeout=300,
)
if response.status_code != 200:
error = response.content
yield self._format_error(response.status_code, error)
return
data = response.json()
# 直接提取最终回复内容（忽略思维链）
content = data["choices"][0]["message"].get("content", "")
yield content
except Exception as e:
yield self._format_exception(e)
async def _update_thinking_state(self, delta: dict, thinking_state: dict) -> str:
"""更新思考状态机（简化版）"""
state_output = ""
# 状态转换：未开始 -> 思考中
if thinking_state["thinking"] == -1 and delta.get("reasoning_content"):
thinking_state["thinking"] = 0
state_output = "<think>"
# 状态转换：思考中 -> 已回答
elif (
thinking_state["thinking"] == 0
and not delta.get("reasoning_content")
and delta.get("content")
):
thinking_state["thinking"] = 1
state_output = "\n</think>\n\n"
return state_output
def _process_content(self, delta: dict) -> str:
"""直接返回处理后的内容"""
return delta.get("reasoning_content", "") or delta.get("content", "")
def _format_error(self, status_code: int, error: bytes) -> str:
# 如果 error 已经是字符串，则无需 decode
if isinstance(error, str):
error_str = error
else:
error_str = error.decode(errors="ignore")
try:
err_msg = json.loads(error_str).get("message", error_str)[:200]
except Exception as e:
err_msg = error_str[:200]
return json.dumps(
{"error": f"HTTP {status_code}: {err_msg}"}, ensure_ascii=False
)
def _format_exception(self, e: Exception) -> str:
"""异常格式化保持不变"""
err_type = type(e).__name__
return json.dumps({"error": f"{err_type}: {str(e)}"}, ensure_ascii=False)
