Backend: - Create agents.yaml config file with 12 agents definition - Create Prompt templates for topic-evaluation agent - Implement agentService.ts for loading and managing agent configs - Create agentController.ts with CRUD operations - Create agent routes (GET /agents, /agents/:id, etc.) - Register agent routes in main server Frontend: - Create agentApi.ts service module - Update AgentChatPage to dynamically load agent config from API - Add loading state and error handling - Display agent details (description, category, model) Build: Both frontend and backend build successfully
16 lines
345 B
Plaintext
16 lines
345 B
Plaintext
请对以下研究选题进行评价:
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## 项目背景
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{{projectBackground}}
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## 研究选题
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{{userInput}}
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{{#if knowledgeBaseContext}}
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## 参考文献(来自知识库)
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{{knowledgeBaseContext}}
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{{/if}}
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请根据创新性、临床价值、科学性和可行性四个维度,对上述选题进行全面评价,并给出改进建议。
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