root c62156af53 feat(backend): 数字员工平台 B1+B2 批次实现
B1: 项目脚手架 + 数据模型 + 租户管理
- Task 1.1: FastAPI 项目脚手架、SQLite + async SQLAlchemy
- Task 1.2: 7 个数据模型 (Tenant, TenantConfig, DigitalEmployee, Conversation, Message, KnowledgeBase, Document)
- Task 1.3: 租户 CRUD API + LLM 配置(含 API Key AES 加密)

B2: 数字员工配置 + LLM Provider 抽象层
- Task 2.1: 数字员工 CRUD API(关联知识库)
- Task 2.2: BaseLLMProvider 抽象接口 + OpenAI/Qwen Provider
- Task 2.3: Provider 动态实例化 + test-provider 端点

验证: 26 个测试全部通过

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-05-06 11:29:48 +08:00

41 lines
946 B
Python

from datetime import datetime
from pydantic import BaseModel, Field
class TenantCreate(BaseModel):
name: str = Field(..., max_length=200)
slug: str = Field(..., max_length=100)
class TenantUpdate(BaseModel):
name: str | None = Field(None, max_length=200)
slug: str | None = Field(None, max_length=100)
class TenantResponse(BaseModel):
id: str
name: str
slug: str
status: str
created_at: datetime
updated_at: datetime
class TenantConfigCreate(BaseModel):
llm_provider: str = Field(..., max_length=50)
llm_api_key: str
llm_model: str = Field(..., max_length=100)
llm_base_url: str | None = Field(None, max_length=500)
max_tokens_per_month: int | None = None
class TenantConfigResponse(BaseModel):
id: str
tenant_id: str
llm_provider: str
llm_model: str
llm_base_url: str | None
max_tokens_per_month: int
created_at: datetime
updated_at: datetime