feat: implement AI agent for flowme-life interactions

- Add agent-run module to handle AI interactions with tools and messages.
- Create routes for proxying requests to OpenAI and Anthropic APIs.
- Implement flowme-life chat route for user queries and task management.
- Add services for retrieving and updating life records in the database.
- Implement logic for fetching today's tasks and marking tasks as done with next execution time calculation.
- Introduce tests for flowme-life functionalities.

src/test/flowme.ts

@@ -0,0 +1,36 @@
+import { queryLogin, app, token, showMore } from './common.ts'
+
+
+// const rest = await app.run({
+//   path: 'flowme-life',
+//   key: 'today',
+//   // @ts-ignore
+//   token: token,
+// })
+
+// console.log('flowme-life today', rest)
+
+const updateId = '8c63cb7a-ff6d-463b-b210-6311ee12ed46'
+
+// const updateRest = await app.run({
+//   path: 'flowme-life',
+//   key: 'done',
+//   // @ts-ignore
+//   token: token,
+//   payload: {
+//     id: updateId,
+//   }
+// })
+// console.log('flowme-life done', updateRest)
+
+const chatRes = await app.run({
+  path: 'flowme-life',
+  key: 'chat',
+  // @ts-ignore
+  token: token,
+  payload: {
+    // question: '帮我查询一下今天的待办事项'
+    // question: '帮我查询一下今天的待办事项, 然后帮我把键盘充电的待办标记为完成',
+  }
+})
+console.log('flowme-life chat', showMore(chatRes))