Files
company-ai-platform/app/modules/ai_agent/routes.py
JiuContinent aa81fc5321 ```
feat(ai_agent): 完善AI适配器和服务功能

- 添加OpenClaw和Hermes健康检查接口
- 实现OpenClaw工具调用功能
- 重构AI适配器使用常量定义
- 增加AI技能系统支持
- 更新配置文件中的默认模型提供者设置

refactor(scheduler): 使用常量替换硬编码值

- 将硬编码的actor值替换为ActorValue常量
- 将receive_id_type替换为FeishuReceiveIdType枚举

refactor(audit): 统一审计日志常量使用

- 将硬编码的actor、source、risk_level等值替换为对应常量
- 更新审核服务中的状态和操作常量引用

refactor(approvals): 标准化审批模块常量使用

- 将applicant默认值替换为ActorValue.API常量
- 使用ApprovalStatus常量替代硬编码状态值
- 更新审核操作常量引用
```
2026-07-06 00:02:03 +08:00

60 lines
1.9 KiB
Python

from fastapi import APIRouter, Depends
from sqlalchemy.orm import Session
from app.core.constants import ActorValue
from app.core.database import get_db
from app.core.security import require_api_key
from app.modules.ai_agent.schemas import (
AIAskRequest,
AIAskResponse,
DraftPolicyRequest,
InvestmentResearchRequest,
OpenClawToolInvokeRequest,
)
from app.modules.ai_agent.service import AIService
router = APIRouter(dependencies=[Depends(require_api_key)])
@router.post("/ask", response_model=AIAskResponse)
def ask(payload: AIAskRequest, db: Session = Depends(get_db)) -> dict:
return AIService(db).ask(payload.prompt, payload.context, payload.actor, payload.source)
@router.get("/provider-health")
def provider_health(actor: str = ActorValue.API, db: Session = Depends(get_db)) -> dict:
return AIService(db).provider_health(actor=actor)
@router.post("/openclaw/tools/invoke")
def invoke_openclaw_tool(
payload: OpenClawToolInvokeRequest,
db: Session = Depends(get_db),
) -> dict:
return AIService(db).invoke_openclaw_tool(
tool=payload.tool,
action=payload.action,
args=payload.args,
session_key=payload.session_key,
actor=payload.actor,
)
@router.post("/draft-policy", response_model=AIAskResponse)
def draft_policy(payload: DraftPolicyRequest, db: Session = Depends(get_db)) -> dict:
return AIService(db).draft_policy(
title=payload.title,
policy_type=payload.policy_type,
requirements=payload.requirements,
actor=payload.actor,
)
@router.post("/investment-research", response_model=AIAskResponse)
def investment_research(payload: InvestmentResearchRequest, db: Session = Depends(get_db)) -> dict:
return AIService(db).draft_investment_research(
symbol_or_topic=payload.symbol_or_topic,
risk_preference=payload.risk_preference,
actor=payload.actor,
)