Refactor assistant configuration and database seeding

- Update Makefile to include new database seed commands for assistants and credentials.
- Refactor assistant model to use explicit fields instead of a config dictionary, improving data integrity and clarity.
- Implement new seeding SQL script for assistants, ensuring dependencies on credentials are respected.
- Modify backend routes and frontend components to accommodate the new assistant structure, including direct field access for prompt, API URL, and keys.
- Enhance the AssistantPage component to handle the new data structure and streamline the save process for different assistant types.

backend/db/models.py

@@ -95,8 +95,13 @@ class Assistant(Base):
         String(40), ForeignKey("knowledge_bases.id", ondelete="RESTRICT"), nullable=True
     )
 
-    # 类型专属字段(形态各异):prompt / graph / dify|fastgpt|opencode 端点+key(打码)
-    config: Mapped[dict] = mapped_column(JSON, default=dict)
+    # ---- 瘦类型专属字段(真列,稀疏:按 type 用其中几列) ----
+    prompt: Mapped[str] = mapped_column(String(8192), default="")    # prompt / opencode
+    api_url: Mapped[str] = mapped_column(String(512), default="")    # dify / fastgpt / opencode
+    api_key: Mapped[str] = mapped_column(String(512), default="")    # dify / fastgpt / opencode(打码/哨兵,同凭证)
+    app_id: Mapped[str] = mapped_column(String(128), default="")     # fastgpt
+    # workflow 专属:图(nodes/edges)。要版本化时再迁出到 assistant_workflow 表
+    graph: Mapped[dict] = mapped_column(JSON, default=dict)
 
     created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), server_default=func.now())
     updated_at: Mapped[datetime] = mapped_column(

backend/db/seed_assistants.sql

@@ -0,0 +1,51 @@
+-- 知识库 + 助手种子数据(依赖 seed_credentials.sql 先灌入 model_xxx 凭证)。
+--
+-- 用法(从仓库根目录):
+--   docker compose exec -T postgres psql -U postgres -d postgres < backend/db/seed_assistants.sql
+--   或:make db-seed-assistants(凭证已就绪时);make db-seed 会按顺序全灌。
+--
+-- 说明:
+--   * id 固定(kb_001 / asst_001..005)+ ON CONFLICT 幂等,可重复执行。
+--   * 引用 seed_credentials 的 model_001(LLM)/003(ASR)/005(TTS)/010(Embedding)。
+--   * 宽表 STI:瘦类型用真列(prompt/api_url/api_key/app_id),workflow 用 graph 列。
+--   * api_key 在库里明文(读取走 API 才打码),这里填示例占位。
+
+-- 知识库(引用 Embedding 凭证 model_010)
+INSERT INTO knowledge_bases (id, name, description, embedding_credential_id, status)
+VALUES
+  ('kb_001', '政务政策知识库', '政策解读 / 办事指南示例库', 'model_010', 'active')
+ON CONFLICT (id) DO NOTHING;
+
+-- 助手(一种类型一条)
+INSERT INTO assistants (
+  id, name, type, runtime_mode, greeting, enable_interrupt,
+  llm_credential_id, asr_credential_id, tts_credential_id,
+  realtime_credential_id, knowledge_base_id,
+  prompt, api_url, api_key, app_id, graph
+) VALUES
+  -- 提示词:llm/asr/tts + 知识库,prompt 真列
+  ('asst_001', '政务咨询助手', 'prompt', 'pipeline', '您好，我是政务助手，请问有什么可以帮您？', TRUE,
+   'model_001', 'model_003', 'model_005', NULL, 'kb_001',
+   '你是一名专业的政务咨询助手，回答准确、简洁，不编造政策内容。', '', '', '', '{}'),
+
+  -- 工作流:asr/tts + graph 列(最小图)
+  ('asst_002', '热线工单助手', 'workflow', 'pipeline', '', TRUE,
+   NULL, 'model_003', 'model_005', NULL, NULL,
+   '', '', '', '',
+   '{"nodes":[{"id":"1","type":"startCall","position":{"x":0,"y":0},"data":{"name":"开场","prompt":"你好，请问需要办理什么业务？"}}],"edges":[]}'),
+
+  -- Dify:asr/tts + api_url/api_key
+  ('asst_003', 'Dify 客服助手', 'dify', 'pipeline', '', TRUE,
+   NULL, 'model_003', 'model_005', NULL, NULL,
+   '', 'https://api.dify.ai/v1', 'app-dify-demo-key', '', '{}'),
+
+  -- FastGPT:asr/tts + app_id/api_url/api_key
+  ('asst_004', 'FastGPT 售后助手', 'fastgpt', 'pipeline', '', TRUE,
+   NULL, 'model_003', 'model_005', NULL, NULL,
+   '', 'https://api.fastgpt.in/api/v1/chat/completions', 'fastgpt-demo-key', 'app-fastgpt-001', '{}'),
+
+  -- OpenCode:asr/tts + prompt/api_url/api_key
+  ('asst_005', 'OpenCode 代码助手', 'opencode', 'pipeline', '', TRUE,
+   NULL, 'model_003', 'model_005', NULL, NULL,
+   '你是一个代码助手的语音界面，用简洁口语回答工程问题。', 'http://localhost:4096', 'opencode-demo-key', '', '{}')
+ON CONFLICT (id) DO NOTHING;