mirror of https://github.com/Mai-with-u/MaiBot.git
feat(config): add UI metadata to ModelConfig fields
Add json_schema_extra UI metadata to all Model-related configuration classes:
- APIProvider (7 fields): name, base_url, api_key, client_type, max_retry, timeout, retry_interval
- ModelInfo (8 fields): model_identifier, name, api_provider, price_in, price_out, temperature, max_tokens, force_stream_mode, extra_params
- TaskConfig (5 fields): model_list, max_tokens, temperature, slow_threshold, selection_strategy
- ModelTaskConfig (9 fields): utils, replyer, vlm, voice, tool_use, planner, embedding, lpmm_entity_extract, lpmm_rdf_build
Pattern: Field(default=..., [ge/le constraints], json_schema_extra={x-widget, x-icon, [step]})
Widget types: input, slider, switch, select, custom (for complex types)
Constraints mapped: ge/le to minValue/maxValue in Schema output (Task 1d)
All 30 user-facing fields now have complete metadata coverage:
- x-widget: rendering hint for frontend
- x-icon: icon identifier from lucide-react
- Constraints: ge, le for numeric validation
Verification:
✓ All classes import successfully
✓ 100% metadata coverage on user-facing fields
✓ Config instance creation works
✓ Backward compatible with existing validation
Relates to: Task 12 (Wave 3) of webui-config-visualization-refactor
pull/1496/head
DrSmoothl
parent
b1c01d0a0c
commit
bae87d122b
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@ -5,25 +5,73 @@ from .config_base import ConfigBase, Field
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class APIProvider(ConfigBase):
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"""API提供商配置类"""
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name: str = ""
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name: str = Field(
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default="",
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json_schema_extra={
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"x-widget": "input",
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"x-icon": "tag",
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},
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)
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"""API服务商名称 (可随意命名, 在models的api-provider中需使用这个命名)"""
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base_url: str = ""
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base_url: str = Field(
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default="",
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json_schema_extra={
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"x-widget": "input",
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"x-icon": "link",
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},
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)
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"""API服务商的BaseURL"""
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api_key: str = Field(default_factory=str, repr=False)
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api_key: str = Field(
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default_factory=str,
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repr=False,
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json_schema_extra={
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"x-widget": "input",
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"x-icon": "key",
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},
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)
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"""API密钥"""
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client_type: str = Field(default="openai")
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client_type: str = Field(
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default="openai",
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json_schema_extra={
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"x-widget": "select",
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"x-icon": "settings",
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},
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)
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"""客户端类型 (可选: openai/google, 默认为openai)"""
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max_retry: int = Field(default=2)
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max_retry: int = Field(
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default=2,
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ge=0,
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json_schema_extra={
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"x-widget": "input",
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"x-icon": "repeat",
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},
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)
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"""最大重试次数 (单个模型API调用失败, 最多重试的次数)"""
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timeout: int = 10
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timeout: int = Field(
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default=10,
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ge=1,
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json_schema_extra={
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"x-widget": "input",
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"x-icon": "clock",
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"step": 1,
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},
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)
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"""API调用的超时时长 (超过这个时长, 本次请求将被视为"请求超时", 单位: 秒)"""
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retry_interval: int = 10
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retry_interval: int = Field(
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default=10,
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ge=1,
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json_schema_extra={
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"x-widget": "input",
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"x-icon": "timer",
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"step": 1,
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},
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)
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"""重试间隔 (如果API调用失败, 重试的间隔时间, 单位: 秒)"""
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def model_post_init(self, context: Any = None):
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@ -39,34 +87,93 @@ class APIProvider(ConfigBase):
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class ModelInfo(ConfigBase):
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"""单个模型信息配置类"""
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_validate_any: bool = False
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suppress_any_warning: bool = True
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model_identifier: str = ""
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model_identifier: str = Field(
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default="",
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json_schema_extra={
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"x-widget": "input",
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"x-icon": "package",
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},
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)
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"""模型标识符 (API服务商提供的模型标识符)"""
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name: str = ""
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name: str = Field(
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default="",
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json_schema_extra={
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"x-widget": "input",
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"x-icon": "tag",
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},
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)
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"""模型名称 (可随意命名, 在models中需使用这个命名)"""
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api_provider: str = ""
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api_provider: str = Field(
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default="",
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json_schema_extra={
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"x-widget": "select",
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"x-icon": "link",
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},
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)
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"""API服务商名称 (对应在api_providers中配置的服务商名称)"""
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price_in: float = Field(default=0.0)
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price_in: float = Field(
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default=0.0,
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ge=0,
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json_schema_extra={
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"x-widget": "input",
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"x-icon": "dollar-sign",
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"step": 0.001,
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},
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)
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"""输入价格 (用于API调用统计, 单位：元/ M token) (可选, 若无该字段, 默认值为0)"""
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price_out: float = Field(default=0.0)
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price_out: float = Field(
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default=0.0,
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ge=0,
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json_schema_extra={
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"x-widget": "input",
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"x-icon": "dollar-sign",
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"step": 0.001,
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},
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)
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"""输出价格 (用于API调用统计, 单位：元/ M token) (可选, 若无该字段, 默认值为0)"""
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temperature: float | None = Field(default=None)
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temperature: float | None = Field(
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default=None,
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json_schema_extra={
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"x-widget": "input",
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"x-icon": "thermometer",
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},
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)
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"""模型级别温度（可选），会覆盖任务配置中的温度"""
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max_tokens: int | None = Field(default=None)
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max_tokens: int | None = Field(
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default=None,
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json_schema_extra={
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"x-widget": "input",
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"x-icon": "layers",
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},
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)
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"""模型级别最大token数（可选），会覆盖任务配置中的max_tokens"""
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force_stream_mode: bool = Field(default=False)
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force_stream_mode: bool = Field(
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default=False,
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json_schema_extra={
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"x-widget": "switch",
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"x-icon": "zap",
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},
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)
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"""强制流式输出模式 (若模型不支持非流式输出, 请设置为true启用强制流式输出, 默认值为false)"""
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extra_params: dict[str, Any] = Field(default_factory=dict)
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extra_params: dict[str, Any] = Field(
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default_factory=dict,
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json_schema_extra={
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"x-widget": "custom",
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"x-icon": "sliders",
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},
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)
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"""额外参数 (用于API调用时的额外配置)"""
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def model_post_init(self, context: Any = None):
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@ -82,48 +189,139 @@ class ModelInfo(ConfigBase):
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class TaskConfig(ConfigBase):
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"""任务配置类"""
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model_list: list[str] = Field(default_factory=list)
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model_list: list[str] = Field(
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default_factory=list,
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json_schema_extra={
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"x-widget": "custom",
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"x-icon": "list",
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},
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)
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"""使用的模型列表, 每个元素对应上面的模型名称(name)"""
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max_tokens: int = 1024
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max_tokens: int = Field(
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default=1024,
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ge=1,
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json_schema_extra={
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"x-widget": "input",
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"x-icon": "layers",
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"step": 1,
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},
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)
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"""任务最大输出token数"""
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temperature: float = 0.3
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temperature: float = Field(
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default=0.3,
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ge=0,
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le=2,
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json_schema_extra={
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"x-widget": "slider",
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"x-icon": "thermometer",
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"step": 0.1,
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},
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)
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"""模型温度"""
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slow_threshold: float = 15.0
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slow_threshold: float = Field(
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default=15.0,
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ge=0,
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json_schema_extra={
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"x-widget": "input",
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"x-icon": "alert-circle",
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"step": 0.1,
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},
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)
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"""慢请求阈值（秒），超过此值会输出警告日志"""
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selection_strategy: str = Field(default="balance")
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selection_strategy: str = Field(
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default="balance",
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json_schema_extra={
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"x-widget": "select",
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"x-icon": "shuffle",
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},
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)
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"""模型选择策略：balance（负载均衡）或 random（随机选择）"""
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class ModelTaskConfig(ConfigBase):
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"""模型配置类"""
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utils: TaskConfig = Field(default_factory=TaskConfig)
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utils: TaskConfig = Field(
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default_factory=TaskConfig,
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json_schema_extra={
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"x-widget": "custom",
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"x-icon": "wrench",
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},
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)
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"""组件使用的模型, 例如表情包模块, 取名模块, 关系模块, 麦麦的情绪变化等，是麦麦必须的模型"""
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replyer: TaskConfig = Field(default_factory=TaskConfig)
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replyer: TaskConfig = Field(
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default_factory=TaskConfig,
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json_schema_extra={
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"x-widget": "custom",
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"x-icon": "message-square",
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},
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)
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"""首要回复模型配置, 还用于表达器和表达方式学习"""
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vlm: TaskConfig = Field(default_factory=TaskConfig)
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vlm: TaskConfig = Field(
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default_factory=TaskConfig,
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json_schema_extra={
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"x-widget": "custom",
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"x-icon": "image",
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},
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)
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"""视觉模型配置"""
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voice: TaskConfig = Field(default_factory=TaskConfig)
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voice: TaskConfig = Field(
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default_factory=TaskConfig,
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json_schema_extra={
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"x-widget": "custom",
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"x-icon": "volume-2",
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},
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)
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"""语音识别模型配置"""
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tool_use: TaskConfig = Field(default_factory=TaskConfig)
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tool_use: TaskConfig = Field(
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default_factory=TaskConfig,
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json_schema_extra={
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"x-widget": "custom",
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"x-icon": "tools",
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},
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)
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"""工具使用模型配置, 需要使用支持工具调用的模型"""
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planner: TaskConfig = Field(default_factory=TaskConfig)
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planner: TaskConfig = Field(
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default_factory=TaskConfig,
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json_schema_extra={
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"x-widget": "custom",
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"x-icon": "map",
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},
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)
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"""规划模型配置"""
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embedding: TaskConfig = Field(default_factory=TaskConfig)
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embedding: TaskConfig = Field(
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default_factory=TaskConfig,
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json_schema_extra={
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"x-widget": "custom",
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"x-icon": "database",
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},
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)
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"""嵌入模型配置"""
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lpmm_entity_extract: TaskConfig = Field(default_factory=TaskConfig)
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lpmm_entity_extract: TaskConfig = Field(
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default_factory=TaskConfig,
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json_schema_extra={
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"x-widget": "custom",
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"x-icon": "filter",
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},
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)
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"""LPMM实体提取模型配置"""
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lpmm_rdf_build: TaskConfig = Field(default_factory=TaskConfig)
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lpmm_rdf_build: TaskConfig = Field(
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default_factory=TaskConfig,
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json_schema_extra={
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"x-widget": "custom",
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"x-icon": "network",
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},
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)
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"""LPMM RDF构建模型配置"""
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