TradeMate Dev
f8a23855d2
- Admin-configurable AI prompt/quick questions from system_configs DB - GET /api/v1/ai/quick-questions endpoint for fetching quick questions - Local FAQ matching for instant responses (avoid AI calls for common Qs) - AI action extraction: "add customer" intent detected, structured data returned - Frontend action confirmation card with editable fields, calls customer API on confirm - NVIDIA provider (stepfun-ai/step-3.5-flash) for faster chat vs deepseek-v4-flash - Fixed httpx client timeout preventing backend hangs - Added log_usage calls for auth events (register/login/guest/wechat) - Admin tabs (users/stats/logs/config) fully functional with real backend - AiAssistant component added to all tabbar pages
50 lines
1.3 KiB
Python
50 lines
1.3 KiB
Python
from abc import ABC, abstractmethod
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from typing import Dict, Any, Optional
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class AIProvider(ABC):
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@abstractmethod
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async def translate(
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self, text: str, source_lang: Optional[str], target_lang: str,
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context: Optional[str] = None,
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) -> Dict[str, Any]:
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pass
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@abstractmethod
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async def reply(
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self, inquiry: str, context: Optional[Dict[str, Any]] = None,
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tone: str = "professional", preference_context: Optional[str] = None,
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) -> Dict[str, Any]:
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pass
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@abstractmethod
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async def generate_marketing(
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self, product_info: Dict[str, Any], target: str,
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style: str = "professional", language: str = "en",
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preference_context: Optional[str] = None,
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) -> Dict[str, Any]:
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pass
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@abstractmethod
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async def extract_info(
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self, text: str, schema: Dict[str, Any],
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) -> Dict[str, Any]:
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pass
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async def chat(self, message: str, history: list = None, system_prompt: str = None) -> Dict[str, Any]:
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raise NotImplementedError
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@property
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@abstractmethod
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def name(self) -> str:
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pass
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@property
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@abstractmethod
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def cost_per_1k_tokens(self) -> float:
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pass
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@property
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def supports_streaming(self) -> bool:
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return False
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