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/modules/ai/agent-run.ts

@@ -0,0 +1,65 @@
+import { type QueryRouterServer, type App, type RouteInfo } from '@kevisual/router'
+import { generateText, tool, type ModelMessage, type LanguageModel, type GenerateTextResult } from 'ai';
+import z from 'zod';
+import { filter } from '@kevisual/js-filter'
+export const createTool = async (app: QueryRouterServer | App, message: { path: string, key: string, token?: string }) => {
+  const route = app.findRoute({ path: message.path, key: message.key });
+  if (!route) {
+    console.error(`未找到路径 ${message.path} 和 key ${message.key} 的路由`);
+    return null;
+  }
+  const _tool = tool({
+    description: route?.metadata?.summary || route?.description || '无描述',
+    inputSchema: z.object({
+      ...route.metadata?.args
+    }), // 这里可以根据实际需要定义输入参数的 schema
+    execute: async (args: any) => {
+      const res = await app.run({ path: message.path, key: message.key, payload: args, token: message.token });
+      return res;
+    }
+  });
+  return _tool;
+}
+
+export const createTools = async (opts: { app: QueryRouterServer | App, token?: string }) => {
+  const { app, token } = opts;
+  const tools: Record<string, any> = {};
+  for (const route of app.routes) {
+    const id = route.id!;
+    const _tool = await createTool(app, { path: route.path!, key: route.key!, token });
+    if (_tool && id) {
+      tools[id] = _tool;
+    }
+  }
+  return tools;
+}
+type Route = Partial<RouteInfo>
+type AgentResult = {
+  result: GenerateTextResult<Record<string, any>, any>,
+  messages: ModelMessage[],
+}
+export const reCallAgent = async (opts: { messages?: ModelMessage[], tools?: Record<string, any>, languageModel: LanguageModel }): Promise<AgentResult> => {
+  const { messages = [], tools = {}, languageModel } = opts;
+  const result = await generateText({
+    model: languageModel,
+    messages,
+    tools,
+  });
+  const step = result.steps[0]!;
+  if (step.finishReason === 'tool-calls') {
+    messages.push(...result.response.messages);
+    return reCallAgent({ messages, tools, languageModel });
+  }
+  return { result, messages };
+}
+export const runAgent = async (opts: { app: QueryRouterServer | App, messages?: ModelMessage[], routes?: Route[], query?: string, languageModel: LanguageModel, token: string }) => {
+  const { app, languageModel } = opts;
+  let messages = opts.messages || [];
+
+  let routes = opts?.routes || app.routes;
+  if (opts.query) {
+    routes = filter(routes, opts.query);
+  };
+  const tools = await createTools({ app, token: opts.token });
+  return await reCallAgent({ messages, tools, languageModel });
+}