Use generated short id for llm asr tts

api/app/id_generator.py

@@ -0,0 +1,17 @@
+import uuid
+from typing import Any, Type
+
+from sqlalchemy.orm import Session
+
+
+def short_id(prefix: str, size: int = 8) -> str:
+    return f"{prefix}_{uuid.uuid4().hex[:size]}"
+
+
+def unique_short_id(prefix: str, db: Session, model_cls: Type[Any], size: int = 8) -> str:
+    for _ in range(10):
+        candidate = short_id(prefix, size=size)
+        exists = db.query(model_cls.id).filter(model_cls.id == candidate).first()
+        if not exists:
+            return candidate
+    raise RuntimeError(f"failed to generate unique id for {model_cls.__name__}")

api/app/routers/asr.py

@@ -1,6 +1,5 @@
 import os
 import time
-import uuid
 from typing import List, Optional
 
 import httpx
@@ -8,6 +7,7 @@ from fastapi import APIRouter, Depends, File, Form, HTTPException, UploadFile
 from sqlalchemy.orm import Session
 
 from ..db import get_db
+from ..id_generator import unique_short_id
 from ..models import ASRModel
 from ..schemas import (
     ASRModelCreate, ASRModelUpdate, ASRModelOut,
@@ -72,7 +72,7 @@ def get_asr_model(id: str, db: Session = Depends(get_db)):
 def create_asr_model(data: ASRModelCreate, db: Session = Depends(get_db)):
     """创建ASR模型"""
     asr_model = ASRModel(
-        id=data.id or str(uuid.uuid4())[:8],
+        id=unique_short_id("asr", db, ASRModel),
         user_id=1,  # 默认用户
         name=data.name,
         vendor=data.vendor,

api/app/routers/llm.py

@@ -1,12 +1,12 @@
 from fastapi import APIRouter, Depends, HTTPException
 from sqlalchemy.orm import Session
 from typing import List, Optional
-import uuid
 import httpx
 import time
 from datetime import datetime
 
 from ..db import get_db
+from ..id_generator import unique_short_id
 from ..models import LLMModel
 from ..schemas import (
     LLMModelCreate, LLMModelUpdate, LLMModelOut,
@@ -53,7 +53,7 @@ def get_llm_model(id: str, db: Session = Depends(get_db)):
 def create_llm_model(data: LLMModelCreate, db: Session = Depends(get_db)):
     """创建LLM模型"""
     llm_model = LLMModel(
-        id=data.id or str(uuid.uuid4())[:8],
+        id=unique_short_id("llm", db, LLMModel),
         user_id=1,  # 默认用户
         name=data.name,
         vendor=data.vendor,

api/app/routers/voices.py

@@ -1,6 +1,5 @@
 import base64
 import os
-import uuid
 from typing import Optional
 
 import httpx
@@ -8,6 +7,7 @@ from fastapi import APIRouter, Depends, HTTPException
 from sqlalchemy.orm import Session
 
 from ..db import get_db
+from ..id_generator import unique_short_id
 from ..models import Voice
 from ..schemas import VoiceCreate, VoiceOut, VoicePreviewRequest, VoicePreviewResponse, VoiceUpdate
 
@@ -78,7 +78,7 @@ def create_voice(data: VoiceCreate, db: Session = Depends(get_db)):
             voice_key = raw_id if ":" in raw_id else f"{model}:{raw_id}"
 
     voice = Voice(
-        id=data.id or str(uuid.uuid4())[:8],
+        id=unique_short_id("tts", db, Voice),
         user_id=1,
         name=data.name,
         vendor=vendor,

api/init_db.py

@@ -9,8 +9,29 @@ from contextlib import contextmanager
 sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
 
 from app.db import Base, engine, DATABASE_URL
+from app.id_generator import short_id
 from app.models import Voice, Assistant, KnowledgeBase, Workflow, LLMModel, ASRModel, KnowledgeDocument
 
+VOICE_MODEL = "FunAudioLLM/CosyVoice2-0.5B"
+
+SEED_VOICE_IDS = {
+    "alex": short_id("tts"),
+    "david": short_id("tts"),
+    "bella": short_id("tts"),
+    "claire": short_id("tts"),
+}
+
+SEED_LLM_IDS = {
+    "deepseek_chat": short_id("llm"),
+    "glm_4": short_id("llm"),
+    "embedding_3_small": short_id("llm"),
+}
+
+SEED_ASR_IDS = {
+    "sensevoice_small": short_id("asr"),
+    "telespeech_asr": short_id("asr"),
+}
+
 
 def ensure_db_dir():
     """确保 SQLite 数据目录存在。"""
@@ -105,15 +126,51 @@ def init_default_data():
         # 参考: https://docs.siliconflow.cn/cn/api-reference/audio/create-speech
         voices = [
             # 男声 (Male Voices)
-            Voice(id="alex", name="Alex", vendor="OpenAI Compatible", gender="Male", language="en",
+            Voice(
-                  description="Steady male voice.", is_system=True),
+                id=SEED_VOICE_IDS["alex"],
-            Voice(id="david", name="David", vendor="OpenAI Compatible", gender="Male", language="en",
+                name="Alex",
-                  description="Cheerful male voice.", is_system=True),
+                vendor="OpenAI Compatible",
+                gender="Male",
+                language="en",
+                description="Steady male voice.",
+                model=VOICE_MODEL,
+                voice_key=f"{VOICE_MODEL}:alex",
+                is_system=True,
+            ),
+            Voice(
+                id=SEED_VOICE_IDS["david"],
+                name="David",
+                vendor="OpenAI Compatible",
+                gender="Male",
+                language="en",
+                description="Cheerful male voice.",
+                model=VOICE_MODEL,
+                voice_key=f"{VOICE_MODEL}:david",
+                is_system=True,
+            ),
             # 女声 (Female Voices)
-            Voice(id="bella", name="Bella", vendor="OpenAI Compatible", gender="Female", language="en",
+            Voice(
-                  description="Passionate female voice.", is_system=True),
+                id=SEED_VOICE_IDS["bella"],
-            Voice(id="claire", name="Claire", vendor="OpenAI Compatible", gender="Female", language="en",
+                name="Bella",
-                  description="Gentle female voice.", is_system=True),
+                vendor="OpenAI Compatible",
+                gender="Female",
+                language="en",
+                description="Passionate female voice.",
+                model=VOICE_MODEL,
+                voice_key=f"{VOICE_MODEL}:bella",
+                is_system=True,
+            ),
+            Voice(
+                id=SEED_VOICE_IDS["claire"],
+                name="Claire",
+                vendor="OpenAI Compatible",
+                gender="Female",
+                language="en",
+                description="Gentle female voice.",
+                model=VOICE_MODEL,
+                voice_key=f"{VOICE_MODEL}:claire",
+                is_system=True,
+            ),
         ]
         seed_if_empty(db, Voice, voices, "✅ 默认声音数据已初始化 (OpenAI Compatible CosyVoice 2.0)")
 
@@ -144,14 +201,14 @@ def init_default_assistants():
                 prompt="你是一个友好的AI助手，请用简洁清晰的语言回答用户的问题。",
                 language="zh",
                 voice_output_enabled=True,
-                voice="anna",
+                voice=SEED_VOICE_IDS["bella"],
                 speed=1.0,
                 hotwords=[],
                 tools=["current_time"],
                 interruption_sensitivity=500,
                 config_mode="platform",
-                llm_model_id="deepseek-chat",
+                llm_model_id=SEED_LLM_IDS["deepseek_chat"],
-                asr_model_id="paraformer-v2",
+                asr_model_id=SEED_ASR_IDS["sensevoice_small"],
             ),
             Assistant(
                 id="customer_service",
@@ -162,7 +219,7 @@ def init_default_assistants():
                 prompt="你是一个专业的客服人员，耐心解答客户问题，提供优质的服务体验。",
                 language="zh",
                 voice_output_enabled=True,
-                voice="bella",
+                voice=SEED_VOICE_IDS["claire"],
                 speed=1.0,
                 hotwords=["客服", "投诉", "咨询"],
                 tools=["current_time"],
@@ -178,7 +235,7 @@ def init_default_assistants():
                 prompt="You are a friendly English tutor. Help users practice English conversation and explain grammar points clearly.",
                 language="en",
                 voice_output_enabled=True,
-                voice="alex",
+                voice=SEED_VOICE_IDS["alex"],
                 speed=1.0,
                 hotwords=["grammar", "vocabulary", "practice"],
                 tools=["current_time"],
@@ -257,7 +314,7 @@ def init_default_llm_models():
     with db_session() as db:
         llm_models = [
             LLMModel(
-                id="deepseek-chat",
+                id=SEED_LLM_IDS["deepseek_chat"],
                 user_id=1,
                 name="DeepSeek Chat",
                 vendor="OpenAI Compatible",
@@ -270,7 +327,7 @@ def init_default_llm_models():
                 enabled=True,
             ),
             LLMModel(
-                id="glm-4",
+                id=SEED_LLM_IDS["glm_4"],
                 user_id=1,
                 name="GLM-4",
                 vendor="ZhipuAI",
@@ -283,7 +340,7 @@ def init_default_llm_models():
                 enabled=True,
             ),
             LLMModel(
-                id="text-embedding-3-small",
+                id=SEED_LLM_IDS["embedding_3_small"],
                 user_id=1,
                 name="Embedding 3 Small",
                 vendor="OpenAI Compatible",
@@ -302,7 +359,7 @@ def init_default_asr_models():
     with db_session() as db:
         asr_models = [
             ASRModel(
-                id="FunAudioLLM/SenseVoiceSmall",
+                id=SEED_ASR_IDS["sensevoice_small"],
                 user_id=1,
                 name="FunAudioLLM/SenseVoiceSmall",
                 vendor="OpenAI Compatible",
@@ -316,7 +373,7 @@ def init_default_asr_models():
                 enabled=True,
             ),
             ASRModel(
-                id="TeleAI/TeleSpeechASR",
+                id=SEED_ASR_IDS["telespeech_asr"],
                 user_id=1,
                 name="TeleAI/TeleSpeechASR",
                 vendor="OpenAI Compatible",

web/services/backendApi.ts

@@ -297,7 +297,6 @@ export const fetchVoices = async (): Promise<Voice[]> => {
 
 export const createVoice = async (data: Partial<Voice>): Promise<Voice> => {
   const payload = {
-    id: data.id || undefined,
     name: data.name || 'New Voice',
     vendor: data.vendor || 'OpenAI Compatible',
     gender: data.gender || 'Female',
@@ -359,7 +358,6 @@ export const fetchASRModels = async (): Promise<ASRModel[]> => {
 
 export const createASRModel = async (data: Partial<ASRModel>): Promise<ASRModel> => {
   const payload = {
-    id: data.id || undefined,
     name: data.name || 'New ASR Model',
     vendor: data.vendor || 'OpenAI Compatible',
     language: data.language || 'zh',
@@ -450,7 +448,6 @@ export const fetchLLMModels = async (): Promise<LLMModel[]> => {
 
 export const createLLMModel = async (data: Partial<LLMModel>): Promise<LLMModel> => {
   const payload = {
-    id: data.id || undefined,
     name: data.name || 'New LLM Model',
     vendor: data.vendor || 'OpenAI Compatible',
     type: data.type || 'text',