Files
hunjing/backend/app/schemas/preferences.py
T
chenxin 462d570751 M4b:ai_provider 删除手术①-⑥——神识全面接管模型出口
- ① 后端删除 app/ai_provider/(38 文件,含 anthropic/openai 格式、billing、audio、embedding)、services/ai_provider_admin.py、core/config/model_config.py、tests/ai_provider/(21 文件)
- ② 连带退役 application/agent/(旧 Agent 循环/steer/follow-up/确认注册表)、application/skill_executor.py、app/skills/(python skills 孤儿)、endpoints/audio.py、application/imports.py(ProviderManager 消费方);settings 端点收敛为生成偏好
- ③ runs.py 修剪:AgentRunRegistry/steer/follow-up/confirmations 端点退役,保留 list/get/events/cancel/stream;safety 确认改为直接落库裁决(pending→approved/denied)
- ④ 前端删除:models 页、ModelGatewayView、gateway.ts、GatewayPanel(玄关)、ModelGatewayPanel/ModelStrategyForm、audio.ts/useVoiceInput、网关类型与 mock;设置页收敛为外观/语言/通知
- ⑤ 配置收敛:config/models|providers|pricing.example.yaml 归档 shenshi/config/;.env.example 删 provider keys/MODEL_ENDPOINT_POOL/MODEL_CONFIG_PATH,收敛 SHENSHI_*
- ⑥ 验收:rg 审计灵台 Provider SDK import 与 ai_provider 引用归零;后端 528 passed(2 个预存失败经 HEAD 复跑验证与本手术无关)、前端 type-check+201 passed、神识 go vet+test、BFF 4 passed
2026-08-27 10:02:44 +08:00

45 lines
1.6 KiB
Python

"""设置 API schema(生成偏好)。
前端只见生成参数偏好;模型网关状态由神识承接(用户面见神识阁)。
"""
from pydantic import BaseModel, ConfigDict, Field
class GenerationPreferencesResponse(BaseModel):
"""生成参数偏好(业务层,不含密钥)。"""
model_config = ConfigDict(
json_schema_extra={
"examples": [
{
"default_model_hint": "default-chat",
"temperature": 0.7,
"top_p": 1.0,
"max_output_tokens": 4096,
"streaming": True,
}
]
}
)
default_model_hint: str = Field(description="默认对话逻辑模型名。")
temperature: float = Field(description="采样温度。")
top_p: float = Field(description="核采样概率。")
max_output_tokens: int = Field(description="最大输出 token 数。")
streaming: bool = Field(description="是否启用流式输出。")
class UpdateGenerationPreferencesRequest(BaseModel):
"""更新生成偏好;至少传一个字段。"""
default_model_hint: str | None = Field(
default=None, max_length=120, description="默认对话逻辑模型名。"
)
temperature: float | None = Field(default=None, ge=0.0, le=2.0, description="采样温度。")
top_p: float | None = Field(default=None, ge=0.0, le=1.0, description="核采样概率。")
max_output_tokens: int | None = Field(
default=None, ge=1, le=200000, description="最大输出 token 数。"
)
streaming: bool | None = Field(default=None, description="是否启用流式输出。")