feat(ai): add dedicated digital avatar model config

backend/app/api/endpoints/ai_models.py

@@ -1,8 +1,11 @@
 """AI模型配置接口"""
-from fastapi import APIRouter, Depends, HTTPException
+import secrets
+
+from fastapi import APIRouter, Depends, Header, HTTPException
 from sqlalchemy import select, update
 
 from app.core.database import get_db
+from app.core.config import settings
 from app.schemas import ApiResponse, AIModelCreateRequest, AIModelUpdateRequest, AIModelTestRequest
 from app.models import AIModelConfig
 from app.utils.crypto import encrypt, decrypt
@@ -22,10 +25,15 @@ async def list_models(db=Depends(get_db)):
 @router.post("")
 async def create_model(req: AIModelCreateRequest, db=Depends(get_db)):
     if req.is_default:
-        await db.execute(update(AIModelConfig).values(is_default=0))
+        await db.execute(
+            update(AIModelConfig)
+            .where(AIModelConfig.usage_scope == req.usage_scope)
+            .values(is_default=0)
+        )
     model = AIModelConfig(
         model_name=req.model_name,
         provider=req.provider,
+        usage_scope=req.usage_scope,
         api_base_url=req.api_base_url,
         api_key_enc=encrypt(req.api_key) if req.api_key else None,
         model_version=req.model_version,
@@ -47,8 +55,16 @@ async def update_model(model_id: int, req: AIModelUpdateRequest, db=Depends(get_
     model = result.scalar_one_or_none()
     if not model:
         raise HTTPException(status_code=404, detail="模型不存在")
-    if req.is_default:
-        await db.execute(update(AIModelConfig).where(AIModelConfig.id != model_id).values(is_default=0))
+    target_scope = req.usage_scope or model.usage_scope
+    if req.is_default or (req.usage_scope and model.is_default):
+        await db.execute(
+            update(AIModelConfig)
+            .where(
+                AIModelConfig.id != model_id,
+                AIModelConfig.usage_scope == target_scope,
+            )
+            .values(is_default=0)
+        )
     for field, val in req.model_dump(exclude_none=True).items():
         if field == "api_key":
             model.api_key_enc = encrypt(val) if val else None
@@ -59,6 +75,37 @@ async def update_model(model_id: int, req: AIModelUpdateRequest, db=Depends(get_
     return ApiResponse(data=_format_model(model), message="更新成功")
 
 
+@router.get("/runtime/digital-avatar")
+async def get_digital_avatar_runtime_model(
+    x_avatar_config_token: str | None = Header(default=None),
+    db=Depends(get_db),
+):
+    expected = settings.AVATAR_MODEL_CONFIG_TOKEN
+    if not expected:
+        raise HTTPException(status_code=503, detail="数字分身模型配置服务未启用")
+    if not x_avatar_config_token or not secrets.compare_digest(x_avatar_config_token, expected):
+        raise HTTPException(status_code=401, detail="无权读取数字分身模型配置")
+
+    result = await db.execute(
+        select(AIModelConfig).where(
+            AIModelConfig.usage_scope == "digital_avatar",
+            AIModelConfig.is_default == 1,
+            AIModelConfig.is_enabled == 1,
+        )
+    )
+    model = result.scalar_one_or_none()
+    if not model:
+        raise HTTPException(status_code=404, detail="尚未配置启用的数字分身专用模型")
+    return ApiResponse(data={
+        "api_base_url": model.api_base_url or "https://api.openai.com/v1",
+        "api_key": decrypt(model.api_key_enc) if model.api_key_enc else "",
+        "model": model.model_version or model.model_name,
+        "temperature": model.temperature,
+        "max_tokens": model.max_tokens,
+        "timeout_seconds": model.timeout_seconds,
+    })
+
+
 @router.delete("/{model_id}")
 async def delete_model(model_id: int, db=Depends(get_db)):
     result = await db.execute(select(AIModelConfig).where(AIModelConfig.id == model_id))
@@ -79,6 +126,7 @@ async def test_model(req: AIModelTestRequest, db=Depends(get_db)):
 def _format_model(m: AIModelConfig) -> dict:
     return {
         "id": m.id, "model_name": m.model_name, "provider": m.provider,
+        "usage_scope": m.usage_scope,
         "api_base_url": m.api_base_url, "has_api_key": bool(m.api_key_enc),
         "model_version": m.model_version, "temperature": m.temperature,
         "max_tokens": m.max_tokens, "timeout_seconds": m.timeout_seconds,