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CHELSEADOPAMIN
commented
Jan 15, 2026
实现了 agent的前端 可以生成 cover letter 和 parent letter
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Pull request overview
This pull request implements an agent-powered frontend for the Qrent platform that enables users to generate rental cover letters and parent guarantee letters using AI assistance.
Changes:
- Adds a comprehensive AI assistant frontend using the
@assistant-ui/reactlibrary with streaming chat capabilities - Implements a backend agent service using LangGraph with RAG (Retrieval-Augmented Generation) for rental knowledge queries and automated cover letter generation
- Integrates the assistant UI as a resizable sidebar panel alongside existing application content
Reviewed changes
Copilot reviewed 51 out of 68 changed files in this pull request and generated 11 comments.
Show a summary per file
| File | Description |
|---|---|
| pnpm-lock.yaml | Added dependencies for assistant-ui React components, Radix UI components, and typography plugin |
| packages/frontend/package.json | Updated with new frontend dependencies for the AI assistant interface |
| packages/frontend/src/lib/trpc.ts | Improved error handling type safety in retry logic |
| packages/frontend/src/lib/templates.ts | Added cover letter data types and prompt generation logic |
| packages/frontend/src/components/ui/* | Added new UI components (tooltip, resizable, dialog, avatar) to support the assistant interface |
| packages/frontend/src/components/assistant-ui/* | Implemented complete assistant UI with thread management, markdown rendering, and file attachments |
| packages/frontend/src/components/CoverLetterForm.tsx | Created comprehensive form for collecting user information to generate cover letters |
| packages/frontend/src/components/AIChatBox.tsx | Enhanced existing chat component with markdown support and cover letter form integration |
| packages/frontend/src/app/layout.tsx | Removed duplicate AIChatBox components from root layout |
| packages/frontend/src/app/[locale]/layout.tsx | Wrapped application in MyAssistant provider for AI functionality |
| packages/frontend/src/app/api/assistant/chat/route.ts | Created API route to proxy requests to the backend agent service |
| packages/agent/* | Complete restructure of agent package with LangGraph-based architecture, RAG tools, and cover letter generation |
Files not reviewed (1)
- pnpm-lock.yaml: Language not supported
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| import { NextRequest } from 'next/server'; | |||
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| const BACKEND_URL = 'http://45.32.212.237:8000/stream'; | |||
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The hardcoded backend URL http://45.32.212.237:8000/stream exposes infrastructure details and creates a security risk. This should be moved to an environment variable (e.g., NEXT_PUBLIC_ASSISTANT_API_URL) for better security and configurability across environments.
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| "" No newline at end of file | |||
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The empty file config/__init__.py contains only "" instead of being truly empty or having a proper docstring. This should either be removed entirely or contain a proper empty string/docstring like """Configuration module."""
| "" | |
| """Configuration module.""" |
packages/agent/src/agent/graph.py
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| llm = ChatOpenAI(model="gpt-4o-mini", temperature=0.2).with_config({"async": True}) | ||
| TOOLS = ALL_TOOLS | ||
| TOOLS_BY_NAME = TOOLS_BY_NAME | ||
| CONSULTANT_PROMPT = CONSULTANT_PROMPT = """ |
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The variable CONSULTANT_PROMPT is defined redundantly with a double assignment operator (CONSULTANT_PROMPT = CONSULTANT_PROMPT = ...). This is likely a typo and should be a single assignment.
| # 工作人员版本 | ||
| elif data.user_type == "worker": | ||
| # 中文工作者身份 | ||
| employer_name = data.employer_name if data.employer_name else "[请在此处补充公司名称]" |
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The tool accesses data.employer_name on line 109, but this field is not defined in the FullApplicationInput model. This will cause an AttributeError when user_type is "worker". The employer_name field should be added to the model or this logic should be refactored to use existing fields.
| __pycache__/ | ||
| Qrent_knowledge_base/ | ||
| coverletter.ts | ||
| <<<<<<< HEAD |
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The .gitignore file has a Git merge conflict marker (<<<<<<< HEAD) at line 1 that was not resolved. This needs to be cleaned up before merging.
| <<<<<<< HEAD |
packages/agent/config/config.py
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| import os | |||
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Import of 'os' is not used.
| import os |
packages/agent/src/agent/graph.py
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| from langgraph.runtime import Runtime | ||
| from typing_extensions import TypedDict | ||
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| import json |
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Import of 'json' is not used.
packages/agent/src/agent/graph.py
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| from typing_extensions import TypedDict | ||
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| import json | ||
| import asyncio |
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Import of 'asyncio' is not used.
packages/agent/src/agent/graph.py
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| from langchain_core.messages import ( | ||
| BaseMessage, HumanMessage, SystemMessage, ToolMessage, AIMessage | ||
| ) |
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Import of 'HumanMessage' is not used.
Import of 'AIMessage' is not used.
packages/agent/src/agent/graph.py
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| from langchain_core.messages import ( | ||
| BaseMessage, HumanMessage, SystemMessage, ToolMessage, AIMessage | ||
| ) | ||
| from langchain_core.runnables import RunnableConfig |
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Import of 'RunnableConfig' is not used.
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Would it better to put the code change of the agent in a separate PR? |
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Please reference current ai-chatbot design i.e. fold/unfold button, floating chat box. Sliding side bar looks nice on PC but it might bring trouble to mobile users. We want to put mobile user experience on the first place. |
wiperi
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Is it better let AI put some description text on the beginning of each file / components. This might help other human / AI better understand the code structure.
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