abearxiong
66a19139b7
- 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.
36 lines
849 B
TypeScript
36 lines
849 B
TypeScript
import { queryLogin, app, token, showMore } from './common.ts'
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// const rest = await app.run({
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// path: 'flowme-life',
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// key: 'today',
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// // @ts-ignore
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// token: token,
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// })
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// console.log('flowme-life today', rest)
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const updateId = '8c63cb7a-ff6d-463b-b210-6311ee12ed46'
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// const updateRest = await app.run({
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// path: 'flowme-life',
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// key: 'done',
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// // @ts-ignore
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// token: token,
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// payload: {
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// id: updateId,
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// }
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// })
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// console.log('flowme-life done', updateRest)
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const chatRes = await app.run({
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path: 'flowme-life',
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key: 'chat',
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// @ts-ignore
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token: token,
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payload: {
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// question: '帮我查询一下今天的待办事项'
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// 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',
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}
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})
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console.log('flowme-life chat', showMore(chatRes)) |