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/fm-manager/pipe.ts

@@ -109,7 +109,7 @@ export const pipeProxyReq = async (req: http.IncomingMessage, proxyReq: http.Cli
       const bunRequest = req.bun.request;
       const contentType = req.headers['content-type'] || '';
       if (contentType.includes('multipart/form-data')) {
-        console.log('Processing multipart/form-data');
+        // console.log('Processing multipart/form-data');
         const arrayBuffer = await bunRequest.arrayBuffer();
 
         // 设置请求头（在写入数据之前）
@@ -123,7 +123,6 @@ export const pipeProxyReq = async (req: http.IncomingMessage, proxyReq: http.Cli
         proxyReq.end();
         return;
       }
-      console.log('Bun pipeProxyReq content-type', contentType);
       // @ts-ignore
       const bodyString = req.body;
       bodyString && proxyReq.write(bodyString);