♻️ 大幅重构,拆分模块,增加一些MCP相关限制
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This commit is contained in:
FuQuan233 2026-07-29 17:00:22 +08:00
parent 41e6aeacb9
commit 0d6771eca6
17 changed files with 1142 additions and 912 deletions

View file

@ -1,66 +1,82 @@
from pydantic import BaseModel, Field
from pydantic import BaseModel, Field, model_validator
class PresetConfig(BaseModel):
"""API预设配置"""
"""API预设配置"""
name: str = Field(..., description="预设名称(唯一标识)")
api_base: str = Field(..., description="API基础地址")
api_key: str = Field(..., description="API密钥")
model_name: str = Field(..., description="模型名称")
max_tokens: int = Field(2048, description="最大响应token数")
temperature: float = Field(0.7, description="生成温度0-2]")
proxy: str = Field("", description="HTTP代理服务器")
support_mcp: bool = Field(False, description="是否支持MCP")
support_image: bool = Field(False, description="是否支持图片输入")
extra_body: dict = Field({}, description="额外请求体字段用于兼容不同API的特殊参数")
max_tokens: int = Field(default=2048, description="最大响应token数")
temperature: float = Field(default=0.7, description="生成温度0-2]")
proxy: str = Field(default="", description="HTTP代理服务器")
support_mcp: bool = Field(default=False, description="是否支持MCP")
support_image: bool = Field(default=False, description="是否支持图片输入")
extra_body: dict = Field(default_factory=dict, description="额外请求体字段")
request_with_reasoning_content: bool = Field(
False,
description="请求中是否包含推理过程内容部分模型要求进行了工具调用后必须完整回传推理过程给API"
default=False,
description="工具调用后是否向API回传推理内容",
)
class MCPServerConfig(BaseModel):
"""MCP服务器配置"""
command: str | None = Field(None, description="stdio模式下MCP命令")
args: list[str] | None = Field([], description="stdio模式下MCP命令参数")
env: dict[str, str] | None = Field({}, description="stdio模式下MCP命令环境变量")
url: str | None = Field(None, description="远程MCP服务器地址")
headers: dict[str, str] | None = Field({}, description="远程MCP服务器http请求头用于认证或其他设置")
transport: str | None = Field(None, description="远程MCP传输协议类型可选 'sse''streamable_http',默认自动检测")
"""MCP服务器配置。"""
command: str | None = Field(default=None, description="stdio模式下MCP命令")
args: list[str] | None = Field(default_factory=list, description="stdio命令参数")
env: dict[str, str] | None = Field(default_factory=dict, description="stdio环境变量")
url: str | None = Field(default=None, description="远程MCP服务器地址")
headers: dict[str, str] | None = Field(default_factory=dict, description="HTTP请求头")
transport: str | None = Field(default=None, description="sse或streamable_http")
friendly_name: str | None = Field(default=None, description="MCP服务器友好名称")
additional_prompt: str | None = Field(default=None, description="额外提示词")
@model_validator(mode="after")
def validate_transport(self):
if bool(self.command) == bool(self.url):
raise ValueError("MCP服务器必须且只能配置 command 或 url 其中之一")
if self.transport not in {None, "sse", "streamable_http"}:
raise ValueError("transport 必须是 sse 或 streamable_http")
return self
# 额外字段
friendly_name: str | None = Field(None, description="MCP服务器友好名称")
additional_prompt: str | None = Field(None, description="额外提示词")
class ScopedConfig(BaseModel):
"""LLM Chat Plugin配置"""
"""LLM Chat Plugin配置。"""
api_presets: list[PresetConfig] = Field(
..., description="API预设列表至少配置1个预设"
)
history_size: int = Field(20, description="LLM上下文消息保留数量")
past_events_size: int = Field(10, description="触发回复时发送的群消息数量")
request_timeout: int = Field(30, description="API请求超时时间")
default_preset: str = Field("off", description="默认使用的预设名称")
random_trigger_prob: float = Field(
0.05, ge=0.0, le=1.0, description="随机触发概率0-1]"
)
api_presets: list[PresetConfig] = Field(..., description="API预设列表")
history_size: int = Field(default=20, ge=1, description="LLM上下文消息保留数量")
past_events_size: int = Field(default=10, ge=1, description="触发时发送的消息数量")
request_timeout: int = Field(default=30, ge=1, description="API请求超时时间")
max_tool_rounds: int = Field(default=8, ge=1, le=50, description="最大工具调用轮数")
max_repeated_tool_calls: int = Field(default=2, ge=1, le=10, description="相同工具调用最多执行次数")
mcp_timeout: int = Field(default=30, ge=1, description="MCP操作超时时间")
default_preset: str = Field(default="off", description="默认预设名称")
random_trigger_prob: float = Field(default=0.05, ge=0.0, le=1.0, description="随机触发概率")
default_prompt: str = Field(
"你的回答应该尽量简洁、幽默、可以使用一些语气词、颜文字。你应该拒绝回答任何政治相关的问题。",
default="你的回答应该尽量简洁、幽默、可以使用一些语气词、颜文字。你应该拒绝回答任何政治相关的问题。",
description="默认提示词",
)
mcp_server_cwd: str | None = Field(
None,
description="command类型MCP服务器的全局工作目录cwd"
)
mcp_servers: dict[str, MCPServerConfig] = Field({}, description="MCP服务器配置")
blacklist_user_ids: set[int] = Field(set(), description="黑名单用户ID列表")
ignore_prefixes: list[str] = Field(
default_factory=list,
description="需要忽略的消息前缀列表,匹配到这些前缀的消息不会处理"
)
enable_private_chat: bool = Field(False, description="是否启用私聊功能")
private_chat_preset: str = Field("off", description="私聊默认使用的预设名称")
mcp_server_cwd: str | None = Field(default=None, description="stdio MCP服务器全局工作目录")
mcp_servers: dict[str, MCPServerConfig] = Field(default_factory=dict, description="MCP服务器配置")
blacklist_user_ids: set[int] = Field(default_factory=set, description="黑名单用户ID")
ignore_prefixes: list[str] = Field(default_factory=list, description="忽略的消息前缀")
enable_private_chat: bool = Field(default=False, description="是否启用私聊")
private_chat_preset: str = Field(default="off", description="私聊默认预设")
@model_validator(mode="after")
def validate_presets(self):
names = [preset.name for preset in self.api_presets]
if not names:
raise ValueError("api_presets 至少需要一个预设")
if len(names) != len(set(names)):
raise ValueError("api_presets 中的预设名称不能重复")
available = set(names) | {"off"}
if self.default_preset not in available:
raise ValueError(f"default_preset 不存在: {self.default_preset}")
if self.private_chat_preset not in available:
raise ValueError(f"private_chat_preset 不存在: {self.private_chat_preset}")
return self
class Config(BaseModel):