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>
23 lines
656 B
Python
23 lines
656 B
Python
"""LLM Provider 注册表"""
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from app.providers.base import BaseLLMProvider
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from app.providers.openai_provider import OpenAIProvider
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from app.providers.qwen_provider import QwenProvider
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PROVIDERS = {
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"openai": OpenAIProvider,
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"qwen": QwenProvider,
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}
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def get_provider(
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provider_type: str,
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api_key: str,
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model: str,
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base_url: str | None = None,
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) -> BaseLLMProvider:
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"""根据类型获取 Provider 实例"""
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if provider_type not in PROVIDERS:
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raise ValueError(f"Unknown provider: {provider_type}")
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provider_cls = PROVIDERS[provider_type]
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return provider_cls(api_key=api_key, model=model, base_url=base_url) |