chore: release v3.4.0.2

feat: 添加对 Gitee AI 的支持

README.md

@@ -1,6 +1,6 @@
 
 <p align="center">
-<img src="https://docs.langbot.app/chrome-512.png" alt="QChatGPT" width="180" />
+<img src="https://docs.langbot.app/langbot-logo-0.5x.png" alt="QChatGPT" width="180" />
 </p>
 <div align="center">
 
@@ -9,10 +9,7 @@
 <a href="https://trendshift.io/repositories/6187" target="_blank"><img src="https://trendshift.io/api/badge/repositories/6187" alt="RockChinQ%2FQChatGPT | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
 
 [![GitHub release (latest by date)](https://img.shields.io/github/v/release/RockChinQ/LangBot)](https://github.com/RockChinQ/LangBot/releases/latest)
-<a href="https://hub.docker.com/repository/docker/rockchin/langbot">
-    <img src="https://img.shields.io/docker/pulls/rockchin/langbot?color=blue" alt="docker pull">
-  </a>
- ![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.docs.langbot.app%2Fapi%2Fv2%2Fview%2Frealtime%2Fcount_query%3Fminute%3D10080&query=%24.data.count&label=%E4%BD%BF%E7%94%A8%E9%87%8F%EF%BC%887%E6%97%A5%EF%BC%89)
+ ![Dynamic JSON Badge](https://img.shields.io/badge/dynamic/json?url=https%3A%2F%2Fapi.qchatgpt.rockchin.top%2Fapi%2Fv2%2Fview%2Frealtime%2Fcount_query%3Fminute%3D10080&query=%24.data.count&label=%E4%BD%BF%E7%94%A8%E9%87%8F%EF%BC%887%E6%97%A5%EF%BC%89)
 ![Wakapi Count](https://wakapi.rockchin.top/api/badge/RockChinQ/interval:any/project:QChatGPT)
 <br/>
 <img src="https://img.shields.io/badge/python-3.10 | 3.11 | 3.12-blue.svg" alt="python">
@@ -22,9 +19,6 @@
 <a href="https://qm.qq.com/q/PClALFK242">
 <img alt="Static Badge" src="https://img.shields.io/badge/%E7%A4%BE%E5%8C%BA%E7%BE%A4-619154800-purple">
 </a>
-<a href="https://codecov.io/gh/RockChinQ/QChatGPT" > 
- <img src="https://codecov.io/gh/RockChinQ/QChatGPT/graph/badge.svg?token=pjxYIL2kbC"/> 
- </a>
  
 ## 使用文档
 
@@ -42,5 +36,5 @@
 <a href="https://github.com/RockChinQ/qcg-center">遥测服务端源码</a> ｜
 <a href="https://github.com/the-lazy-me/QChatGPT-Wiki">官方文档储存库</a>
 
-<img alt="回复效果（带有联网插件）" src="https://docs.langbot.top/QChatGPT-0516.png" width="500px"/>
+<img alt="回复效果（带有联网插件）" src="https://docs.langbot.app/QChatGPT-0516.png" width="500px"/>
 </div>

docker-compose.yaml

@@ -3,6 +3,7 @@ version: "3"
 services:
   langbot:
     image: rockchin/langbot:latest
+    container_name: langbot
     volumes:
       - ./data:/app/data
       - ./plugins:/app/plugins

main.py

@@ -36,6 +36,12 @@ async def main_entry(loop: asyncio.AbstractEventLoop):
         print("已自动安装缺失的依赖包，请重启程序。")
         sys.exit(0)
 
+    # 检查pydantic版本，如果没有 pydantic.v1，则把 pydantic 映射为 v1
+    import pydantic.version
+    if pydantic.version.VERSION < '2.0':
+        import pydantic
+        sys.modules['pydantic.v1'] = pydantic
+
     # 检查配置文件
 
     from pkg.core.bootutils import files

pkg/api/http/controller/groups/user.py

@@ -1,5 +1,6 @@
 import quart
 import sqlalchemy
+import argon2
 
 from .. import group
 from .....persistence.entities import user
@@ -32,7 +33,10 @@ class UserRouterGroup(group.RouterGroup):
         async def _() -> str:
             json_data = await quart.request.json
 
-            token = await self.ap.user_service.authenticate(json_data['user'], json_data['password'])
+            try:
+                token = await self.ap.user_service.authenticate(json_data['user'], json_data['password'])
+            except argon2.exceptions.VerifyMismatchError:
+                return self.fail(1, '用户名或密码错误')
 
             return self.success(data={
                 'token': token

pkg/api/http/service/user.py

@@ -51,8 +51,7 @@ class UserService:
 
         ph = argon2.PasswordHasher()
 
-        if not ph.verify(user_obj.password, password):
-            raise ValueError('密码错误')
+        ph.verify(user_obj.password, password)
 
         return await self.generate_jwt_token(user_email)
 

pkg/command/entities.py

@@ -2,7 +2,7 @@ from __future__ import annotations
 
 import typing
 
-import pydantic
+import pydantic.v1 as pydantic
 
 from ..core import app, entities as core_entities
 from . import errors, operator

pkg/core/bootutils/log.py

@@ -42,8 +42,11 @@ async def init_logging(extra_handlers: list[logging.Handler] = None) -> logging.
     )
 
     stream_handler = logging.StreamHandler(sys.stdout)
+    # stream_handler.setLevel(level)
+    # stream_handler.setFormatter(color_formatter)
+    stream_handler.stream = open(sys.stdout.fileno(), mode='w', encoding='utf-8', buffering=1)
 
-    log_handlers: list[logging.Handler] = [stream_handler, logging.FileHandler(log_file_name)]
+    log_handlers: list[logging.Handler] = [stream_handler, logging.FileHandler(log_file_name, encoding='utf-8')]
     log_handlers += extra_handlers if extra_handlers is not None else []
 
     for handler in log_handlers:

pkg/core/entities.py

@@ -5,7 +5,7 @@ import typing
 import datetime
 import asyncio
 
-import pydantic
+import pydantic.v1 as pydantic
 
 from ..provider import entities as llm_entities
 from ..provider.modelmgr import entities

pkg/core/migrations/m015_gitee_ai_config.py

@@ -0,0 +1,26 @@
+from __future__ import annotations
+
+from .. import migration
+
+
+@migration.migration_class("gitee-ai-config", 15)
+class GiteeAIConfigMigration(migration.Migration):
+    """迁移"""
+
+    async def need_migrate(self) -> bool:
+        """判断当前环境是否需要运行此迁移"""
+        return 'gitee-ai-chat-completions' not in self.ap.provider_cfg.data['requester'] or 'gitee-ai' not in self.ap.provider_cfg.data['keys']
+
+    async def run(self):
+        """执行迁移"""
+        self.ap.provider_cfg.data['requester']['gitee-ai-chat-completions'] = {
+            "base-url": "https://ai.gitee.com/v1",
+            "args": {},
+            "timeout": 120
+        }
+
+        self.ap.provider_cfg.data['keys']['gitee-ai'] = [
+            "XXXXX"
+        ]
+
+        await self.ap.provider_cfg.dump_config()

pkg/core/stages/migrate.py

@@ -7,6 +7,7 @@ from .. import migration
 from ..migrations import m001_sensitive_word_migration, m002_openai_config_migration, m003_anthropic_requester_cfg_completion, m004_moonshot_cfg_completion
 from ..migrations import m005_deepseek_cfg_completion, m006_vision_config, m007_qcg_center_url, m008_ad_fixwin_config_migrate, m009_msg_truncator_cfg
 from ..migrations import m010_ollama_requester_config, m011_command_prefix_config, m012_runner_config, m013_http_api_config, m014_force_delay_config
+from ..migrations import m015_gitee_ai_config
 
 
 @stage.stage_class("MigrationStage")
@@ -28,3 +29,4 @@ class MigrationStage(stage.BootingStage):
 
             if await migration_instance.need_migrate():
                 await migration_instance.run()
+                print(f'已执行迁移 {migration_instance.name}')

pkg/pipeline/cntfilter/entities.py

@@ -2,7 +2,7 @@
 import typing
 import enum
 
-import pydantic
+import pydantic.v1 as pydantic
 
 from ...provider import entities as llm_entities
 

pkg/pipeline/entities.py

@@ -3,7 +3,7 @@ from __future__ import annotations
 import enum
 import typing
 
-import pydantic
+import pydantic.v1 as pydantic
 from ..platform.types import message as platform_message
 
 from ..core import entities

pkg/pipeline/longtext/strategies/forward.py

@@ -2,7 +2,7 @@
 from __future__ import annotations
 import typing
 
-import pydantic
+import pydantic.v1 as pydantic
 
 from .. import strategy as strategy_model
 from ....core import entities as core_entities

pkg/pipeline/longtext/strategies/image.py

@@ -58,7 +58,7 @@ class Text2ImageStrategy(strategy_model.LongTextStrategy):
         """
         kv = []
         nums = []
-        beforeDatas = re.findall('[\d]+', path)
+        beforeDatas = re.findall('[\\d]+', path)
         for num in beforeDatas:
             indexV = []
             times = path.count(num)

pkg/pipeline/resprule/entities.py

@@ -1,4 +1,4 @@
-import pydantic
+import pydantic.v1 as pydantic
 
 from ...platform.types import message as platform_message
 

pkg/pipeline/stagemgr.py

@@ -1,7 +1,5 @@
 from __future__ import annotations
 
-import pydantic
-
 from ..core import app
 from . import stage
 from .resprule import resprule

pkg/platform/sources/qqbotpy.py

@@ -9,8 +9,6 @@ import traceback
 import botpy
 import botpy.message as botpy_message
 import botpy.types.message as botpy_message_type
-import pydantic
-import pydantic.networks
 
 from .. import adapter as adapter_model
 from ...pipeline.longtext.strategies import forward

pkg/platform/types/base.py

@@ -1,8 +1,8 @@
 
 from typing import Dict, List, Type
 
-import pydantic.main as pdm
-from pydantic import BaseModel
+import pydantic.v1.main as pdm
+from pydantic.v1 import BaseModel
 
 
 class PlatformMetaclass(pdm.ModelMetaclass):

pkg/platform/types/entities.py

@@ -7,7 +7,7 @@ from datetime import datetime
 from enum import Enum
 import typing
 
-import pydantic
+import pydantic.v1 as pydantic
 
 
 class Entity(pydantic.BaseModel):

pkg/platform/types/events.py

@@ -6,7 +6,7 @@ from datetime import datetime
 from enum import Enum
 import typing
 
-import pydantic
+import pydantic.v1 as pydantic
 
 from . import entities as platform_entities
 from . import message as platform_message

pkg/platform/types/message.py

@@ -5,8 +5,7 @@ from enum import Enum
 from pathlib import Path
 import typing
 
-import pydantic
-import pydantic.main
+import pydantic.v1 as pydantic
 
 from . import entities as platform_entities
 from .base import PlatformBaseModel, PlatformIndexedMetaclass, PlatformIndexedModel

pkg/plugin/context.py

@@ -2,7 +2,7 @@ from __future__ import annotations
 
 import typing
 import abc
-import pydantic
+import pydantic.v1 as pydantic
 import enum
 
 from . import events

pkg/plugin/events.py

@@ -2,7 +2,7 @@ from __future__ import annotations
 
 import typing
 
-import pydantic
+import pydantic.v1 as pydantic
 
 from ..core import entities as core_entities
 from ..provider import entities as llm_entities

pkg/provider/entities.py

@@ -2,7 +2,7 @@ from __future__ import annotations
 
 import typing
 import enum
-import pydantic
+import pydantic.v1 as pydantic
 
 
 from ..platform.types import message as platform_message

pkg/provider/modelmgr/entities.py

@@ -2,9 +2,9 @@ from __future__ import annotations
 
 import typing
 
-import pydantic
+import pydantic.v1 as pydantic
 
-from . import api
+from . import requester
 from . import token
 
 
@@ -17,7 +17,7 @@ class LLMModelInfo(pydantic.BaseModel):
 
     token_mgr: token.TokenManager
 
-    requester: api.LLMAPIRequester
+    requester: requester.LLMAPIRequester
 
     tool_call_supported: typing.Optional[bool] = False
 

pkg/provider/modelmgr/modelmgr.py

@@ -2,11 +2,11 @@ from __future__ import annotations
 
 import aiohttp
 
-from . import entities
+from . import entities, requester
 from ...core import app
 
-from . import token, api
-from .apis import chatcmpl, anthropicmsgs, moonshotchatcmpl, deepseekchatcmpl, ollamachat
+from . import token
+from .requesters import chatcmpl, anthropicmsgs, moonshotchatcmpl, deepseekchatcmpl, ollamachat, giteeaichatcmpl
 
 FETCH_MODEL_LIST_URL = "https://api.qchatgpt.rockchin.top/api/v2/fetch/model_list"
 
@@ -18,7 +18,7 @@ class ModelManager:
 
     model_list: list[entities.LLMModelInfo]
 
-    requesters: dict[str, api.LLMAPIRequester]
+    requesters: dict[str, requester.LLMAPIRequester]
 
     token_mgrs: dict[str, token.TokenManager]
     
@@ -42,7 +42,7 @@ class ModelManager:
         for k, v in self.ap.provider_cfg.data['keys'].items():
             self.token_mgrs[k] = token.TokenManager(k, v)
 
-        for api_cls in api.preregistered_requesters:
+        for api_cls in requester.preregistered_requesters:
             api_inst = api_cls(self.ap)
             await api_inst.initialize()
             self.requesters[api_inst.name] = api_inst
@@ -94,7 +94,7 @@ class ModelManager:
 
                 model_name = model.get('model_name', default_model_info.model_name)
                 token_mgr = self.token_mgrs[model['token_mgr']] if 'token_mgr' in model else default_model_info.token_mgr
-                requester = self.requesters[model['requester']] if 'requester' in model else default_model_info.requester
+                req = self.requesters[model['requester']] if 'requester' in model else default_model_info.requester
                 tool_call_supported = model.get('tool_call_supported', default_model_info.tool_call_supported)
                 vision_supported = model.get('vision_supported', default_model_info.vision_supported)
 
@@ -102,7 +102,7 @@ class ModelManager:
                     name=model['name'],
                     model_name=model_name,
                     token_mgr=token_mgr,
-                    requester=requester,
+                    requester=req,
                     tool_call_supported=tool_call_supported,
                     vision_supported=vision_supported
                 )

pkg/provider/modelmgr/requesters/anthropicmsgs.py

@@ -5,17 +5,17 @@ import traceback
 
 import anthropic
 
-from .. import api, entities, errors
+from .. import entities, errors, requester
 
-from .. import api, entities, errors
+from .. import entities, errors
 from ....core import entities as core_entities
 from ... import entities as llm_entities
 from ...tools import entities as tools_entities
 from ....utils import image
 
 
-@api.requester_class("anthropic-messages")
-class AnthropicMessages(api.LLMAPIRequester):
+@requester.requester_class("anthropic-messages")
+class AnthropicMessages(requester.LLMAPIRequester):
     """Anthropic Messages API 请求器"""
 
     client: anthropic.AsyncAnthropic

pkg/provider/modelmgr/requesters/chatcmpl.py

@@ -12,15 +12,15 @@ import httpx
 import aiohttp
 import async_lru
 
-from .. import api, entities, errors
+from .. import entities, errors, requester
 from ....core import entities as core_entities, app
 from ... import entities as llm_entities
 from ...tools import entities as tools_entities
 from ....utils import image
 
 
-@api.requester_class("openai-chat-completions")
-class OpenAIChatCompletions(api.LLMAPIRequester):
+@requester.requester_class("openai-chat-completions")
+class OpenAIChatCompletions(requester.LLMAPIRequester):
     """OpenAI ChatCompletion API 请求器"""
 
     client: openai.AsyncClient

pkg/provider/modelmgr/requesters/deepseekchatcmpl.py

@@ -3,13 +3,13 @@ from __future__ import annotations
 from ....core import app
 
 from . import chatcmpl
-from .. import api, entities, errors
+from .. import entities, errors, requester
 from ....core import entities as core_entities, app
 from ... import entities as llm_entities
 from ...tools import entities as tools_entities
 
 
-@api.requester_class("deepseek-chat-completions")
+@requester.requester_class("deepseek-chat-completions")
 class DeepseekChatCompletions(chatcmpl.OpenAIChatCompletions):
     """Deepseek ChatCompletion API 请求器"""
 

pkg/provider/modelmgr/requesters/giteeaichatcmpl.py

@@ -0,0 +1,53 @@
+from __future__ import annotations
+
+import json
+
+import asyncio
+import aiohttp
+import typing
+
+from . import chatcmpl
+from .. import entities, errors, requester
+from ....core import app
+from ... import entities as llm_entities
+from ...tools import entities as tools_entities
+from .. import entities as modelmgr_entities
+
+
+@requester.requester_class("gitee-ai-chat-completions")
+class GiteeAIChatCompletions(chatcmpl.OpenAIChatCompletions):
+    """Gitee AI ChatCompletions API 请求器"""
+
+    def __init__(self, ap: app.Application):
+        self.ap = ap
+        self.requester_cfg = ap.provider_cfg.data['requester']['gitee-ai-chat-completions'].copy()
+
+    async def _closure(
+        self,
+        req_messages: list[dict],
+        use_model: entities.LLMModelInfo,
+        use_funcs: list[tools_entities.LLMFunction] = None,
+    ) -> llm_entities.Message:
+        self.client.api_key = use_model.token_mgr.get_token()
+
+        args = self.requester_cfg['args'].copy()
+        args["model"] = use_model.name if use_model.model_name is None else use_model.model_name
+
+        if use_funcs:
+            tools = await self.ap.tool_mgr.generate_tools_for_openai(use_funcs)
+
+            if tools:
+                args["tools"] = tools
+
+        # gitee 不支持多模态，把content都转换成纯文字
+        for m in req_messages:
+            if 'content' in m and isinstance(m["content"], list):
+                m["content"] = " ".join([c["text"] for c in m["content"]])
+
+        args["messages"] = req_messages
+
+        resp = await self._req(args)
+
+        message = await self._make_msg(resp)
+
+        return message

pkg/provider/modelmgr/requesters/moonshotchatcmpl.py

@@ -3,13 +3,13 @@ from __future__ import annotations
 from ....core import app
 
 from . import chatcmpl
-from .. import api, entities, errors
+from .. import entities, errors, requester
 from ....core import entities as core_entities, app
 from ... import entities as llm_entities
 from ...tools import entities as tools_entities
 
 
-@api.requester_class("moonshot-chat-completions")
+@requester.requester_class("moonshot-chat-completions")
 class MoonshotChatCompletions(chatcmpl.OpenAIChatCompletions):
     """Moonshot ChatCompletion API 请求器"""
 

pkg/provider/modelmgr/requesters/ollamachat.py

@@ -8,7 +8,7 @@ from typing import Union, Mapping, Any, AsyncIterator
 import async_lru
 import ollama
 
-from .. import api, entities, errors
+from .. import entities, errors, requester
 from ... import entities as llm_entities
 from ...tools import entities as tools_entities
 from ....core import app
@@ -17,8 +17,8 @@ from ....utils import image
 REQUESTER_NAME: str = "ollama-chat"
 
 
-@api.requester_class(REQUESTER_NAME)
-class OllamaChatCompletions(api.LLMAPIRequester):
+@requester.requester_class(REQUESTER_NAME)
+class OllamaChatCompletions(requester.LLMAPIRequester):
     """Ollama平台 ChatCompletion API请求器"""
     client: ollama.AsyncClient
     request_cfg: dict

pkg/provider/modelmgr/token.py

@@ -2,8 +2,6 @@ from __future__ import annotations
 
 import typing
 
-import pydantic
-
 
 class TokenManager():
     """鉴权 Token 管理器

pkg/provider/sysprompt/entities.py

@@ -1,7 +1,7 @@
 from __future__ import annotations
 
 import typing
-import pydantic
+import pydantic.v1 as pydantic
 
 from ...provider import entities
 

pkg/provider/tools/entities.py

@@ -4,7 +4,7 @@ import abc
 import typing
 import asyncio
 
-import pydantic
+import pydantic.v1 as pydantic
 
 from ...core import entities as core_entities
 

pkg/provider/tools/toolmgr.py

@@ -118,10 +118,9 @@ class ToolManager:
             traceback.print_exc()
             return f"error occurred when executing function {name}: {e}"
         finally:
-
             plugin = None
 
-            for p in self.ap.plugin_mgr.plugins:
+            for p in self.ap.plugin_mgr.plugins():
                 if function in p.content_functions:
                     plugin = p
                     break
@@ -137,4 +136,4 @@ class ToolManager:
                     },
                     function_name=function.name,
                     function_description=function.description,
-                )
+                )

pkg/utils/announce.py

@@ -6,7 +6,7 @@ import os
 import base64
 import logging
 
-import pydantic
+import pydantic.v1 as pydantic
 import requests
 
 from ..core import app

pkg/utils/constants.py

@@ -1,4 +1,4 @@
-semantic_version = "v3.4.0"
+semantic_version = "v3.4.0.2"
 
 debug_mode = False
 

pkg/utils/logcache.py

@@ -1,7 +1,5 @@
 from __future__ import annotations
 
-import pydantic
-
 
 LOG_PAGE_SIZE = 20
 MAX_CACHED_PAGES = 10

requirements.txt

@@ -9,7 +9,7 @@ Pillow
 tiktoken
 PyYaml
 aiohttp
-pydantic<2.0
+pydantic>2.0
 websockets
 urllib3
 psutil

templates/metadata/llm-models.json

@@ -8,69 +8,59 @@
             "vision_supported": false
         },
         {
-            "name": "gpt-3.5-turbo-0125",
+            "name": "gpt-4o",
             "tool_call_supported": true,
-            "vision_supported": false
+            "vision_supported": true
         },
         {
-            "name": "gpt-3.5-turbo",
+            "name": "gpt-4o-2024-11-20",
             "tool_call_supported": true,
-            "vision_supported": false
+            "vision_supported": true
         },
         {
-            "name": "gpt-3.5-turbo-1106",
+            "name": "gpt-4o-2024-08-06",
             "tool_call_supported": true,
-            "vision_supported": false
+            "vision_supported": true
+        },
+        {
+            "name": "gpt-4o-2024-05-13",
+            "tool_call_supported": true,
+            "vision_supported": true
+        },
+        {
+            "name": "chatgpt-4o-latest",
+            "tool_call_supported": true,
+            "vision_supported": true
+        },
+        {
+            "name": "gpt-4o-mini",
+            "tool_call_supported": true,
+            "vision_supported": true
+        },
+        {
+            "name": "o1-preview",
+            "tool_call_supported": true,
+            "vision_supported": true
+        },
+        {
+            "name": "o1-mini",
+            "tool_call_supported": true,
+            "vision_supported": true
         },
         {
             "name": "gpt-4-turbo",
             "tool_call_supported": true,
             "vision_supported": true
         },
-        {
-            "name": "gpt-4-turbo-2024-04-09",
-            "tool_call_supported": true,
-            "vision_supported": true
-        },
-        {
-            "name": "gpt-4-turbo-preview",
-            "tool_call_supported": true,
-            "vision_supported": true
-        },
-        {
-            "name": "gpt-4-0125-preview",
-            "tool_call_supported": true,
-            "vision_supported": true
-        },
-        {
-            "name": "gpt-4-1106-preview",
-            "tool_call_supported": true,
-            "vision_supported": true
-        },
         {
             "name": "gpt-4",
             "tool_call_supported": true,
             "vision_supported": true
         },
         {
-            "name": "gpt-4o",
+            "name": "gpt-3.5-turbo",
             "tool_call_supported": true,
-            "vision_supported": true
-        },
-        {
-            "name": "gpt-4-0613",
-            "tool_call_supported": true,
-            "vision_supported": true
-        },
-        {
-            "name": "gpt-4-32k",
-            "tool_call_supported": true,
-            "vision_supported": true
-        },
-        {
-            "name": "gpt-4-32k-0613",
-            "tool_call_supported": true,
-            "vision_supported": true
+            "vision_supported": false
         },
         {
             "model_name": "SparkDesk",
@@ -81,19 +71,19 @@
             "name": "OneAPI/gemini-pro"
         },
         {
-            "name": "claude-3-opus-20240229",
+            "name": "claude-3-opus-latest",
             "requester": "anthropic-messages",
             "token_mgr": "anthropic",
             "vision_supported": true
         },
         {
-            "name": "claude-3-sonnet-20240229",
+            "name": "claude-3-5-sonnet-latest",
             "requester": "anthropic-messages",
             "token_mgr": "anthropic",
             "vision_supported": true
         },
         {
-            "name": "claude-3-haiku-20240307",
+            "name": "claude-3-5-haiku-latest",
             "requester": "anthropic-messages",
             "token_mgr": "anthropic",
             "vision_supported": true
@@ -120,6 +110,11 @@
             "name": "deepseek-chat",
             "requester": "deepseek-chat-completions",
             "token_mgr": "deepseek"
+        },
+        {
+            "name": "deepseek-coder",
+            "requester": "deepseek-chat-completions",
+            "token_mgr": "deepseek"
         }
     ]
 }

templates/provider.json

@@ -13,6 +13,9 @@
         ],
         "deepseek": [
             "sk-1234567890"
+        ],
+        "gitee-ai": [
+            "XXXXX"
         ]
     },
     "requester": {
@@ -42,9 +45,14 @@
             "base-url": "http://127.0.0.1:11434",
             "args": {},
             "timeout": 600
+        },
+        "gitee-ai-chat-completions": {
+            "base-url": "https://ai.gitee.com/v1",
+            "args": {},
+            "timeout": 120
         }
     },
-    "model": "gpt-3.5-turbo",
+    "model": "gpt-4o",
     "prompt-mode": "normal",
     "prompt": {
         "default": "" 

templates/schema/provider.json

@@ -54,6 +54,15 @@
                         "type": "string"
                     },
                     "default": []
+                },
+                "gitee": {
+                    "type": "array",
+                    "title": "Gitee API 密钥",
+                    "description": "Gitee API 密钥",
+                    "items": {
+                        "type": "string"
+                    },
+                    "default": []
                 }
             }
         },
@@ -160,6 +169,25 @@
                             "default": 600
                         }
                     }
+                },
+                "gitee-ai-chat-completions": {
+                    "type": "object",
+                    "title": "Gitee AI API 请求配置",
+                    "description": "仅可编辑 URL 和 超时时间，额外请求参数不支持可视化编辑，请到编辑器编辑",
+                    "properties": {
+                        "base-url": {
+                            "type": "string",
+                            "title": "API URL"
+                        },
+                        "args": {
+                            "type": "object"
+                        },
+                        "timeout": {
+                            "type": "number",
+                            "title": "API 请求超时时间",
+                            "default": 120
+                        }
+                    }
                 }
             }
         },

web/src/components/LoginDialog.vue

@@ -47,17 +47,21 @@ const login = () => {
         user: user.value,
         password: password.value
     }).then(res => {
-        if (res.data.data.token) {
+        if (res.data.code == 0) {
             emit('success', '登录成功')
             localStorage.setItem('user-token', res.data.data.token)
             setTimeout(() => {
                 location.reload()
             }, 1000)
         } else {
-            emit('error', '登录失败')
+            emit('error', res.data.msg)
         }
     }).catch(err => {
-        emit('error', err.response.data.message)
+        if (err.response.data.msg) {
+            emit('error', err.response.data.msg)
+        } else {
+            emit('error', '登录失败')
+        }
     })
 }