Create config.py

config.py

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+# config.py
+import os
+from typing import List, Dict
+from openai import OpenAI
+from langchain_openai import ChatOpenAI, OpenAIEmbeddings
+
+# ---------- 环境变量 & OpenAI API Key ----------
+OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
+if not OPENAI_API_KEY:
+    raise RuntimeError(
+        "OPENAI_API_KEY is not set. Please go to Settings → Secrets and add it."
+    )
+
+# ---------- 模型配置（一定要在用之前定义） ----------
+DEFAULT_MODEL = "gpt-4.1-mini"
+EMBEDDING_MODEL = "text-embedding-3-small"
+
+# ---------- OpenAI 原生 Client（老代码还在用） ----------
+client = OpenAI(api_key=OPENAI_API_KEY)
+
+# ---------- LangChain 封装的 LLM & Embedding ----------
+# 以后如果你想用 LangChain 的 ChatOpenAI / OpenAIEmbeddings，可以直接用这两个
+llm_default = ChatOpenAI(
+    model=DEFAULT_MODEL,
+    temperature=0.5,
+    timeout=20,
+)
+
+embedding_client = OpenAIEmbeddings(
+    model=EMBEDDING_MODEL,
+)
+
+# ---------- 默认 GenAI 课程大纲 ----------
+DEFAULT_COURSE_TOPICS: List[str] = [
+    "Week 0 – Welcome & What is Generative AI; course outcomes LO1–LO5.",
+    "Week 1 – Foundations of GenAI: LLMs, Transformer & self-attention, perplexity.",
+    "Week 2 – Foundation Models & multimodal models; data scale, bias & risks.",
+    "Week 3 – Choosing Pre-trained Models; open-source vs proprietary; cost vs quality.",
+    "Week 4 – Prompt Engineering: core principles; zero/few-shot; CoT; ReAct.",
+    "Week 5 – Building a Simple Chatbot; memory (short vs long term); LangChain & UI.",
+    "Week 6 – Review Week; cross-module consolidation & self-check prompts.",
+    "Week 7 – Retrieval-Augmented Generation (RAG); embeddings; hybrid retrieval.",
+    "Week 8 – Agents & Agentic RAG; planning, tools, knowledge augmentation.",
+    "Week 9 – Evaluating GenAI Apps; hallucination, bias/fairness, metrics.",
+    "Week 10 – Responsible AI; risks, governance, EU AI Act-style ideas.",
+]
+
+# ---------- 学习模式 ----------
+LEARNING_MODES: List[str] = [
+    "Concept Explainer",
+    "Socratic Tutor",
+    "Exam Prep / Quiz",
+    "Assignment Helper",
+    "Quick Summary",
+]
+
+LEARNING_MODE_INSTRUCTIONS: Dict[str, str] = {
+    "Concept Explainer": (
+        "Explain concepts step by step. Use clear definitions, key formulas or structures, "
+        "and one or two simple examples. Focus on clarity over depth. Regularly check if "
+        "the student is following."
+    ),
+    "Socratic Tutor": (
+        "Use a Socratic style. Ask the student ONE short question at a time, guide them to "
+        "reason step by step, and only give full explanations after they try. Prioritize "
+        "questions and hints over long lectures."
+    ),
+    "Exam Prep / Quiz": (
+        "Behave like an exam prep coach. Often propose short quiz-style questions "
+        "(multiple choice or short answer), then explain the solutions clearly. Emphasize "
+        "common traps and how to avoid them."
+    ),
+    "Assignment Helper": (
+        "Help with assignments WITHOUT giving full final solutions. Clarify requirements, "
+        "break tasks into smaller steps, and provide hints, partial examples, or pseudo-code "
+        "instead of complete code or final answers. Encourage the student to attempt each "
+        "step before revealing more."
+    ),
+    "Quick Summary": (
+        "Provide concise, bullet-point style summaries and cheat-sheet style notes. "
+        "Focus on key ideas and avoid long paragraphs."
+    ),
+}
+
+# ---------- 上传文件类型 ----------
+DOC_TYPES: List[str] = [
+    "Syllabus",
+    "Lecture Slides / PPT",
+    "Literature Review / Paper",
+    "Other Course Document",
+]
+
+# ---------- Clare 的基础 System Prompt ----------
+CLARE_SYSTEM_PROMPT = """
+You are Clare, an AI teaching assistant for Hanbridge University.
+
+Core identity:
+- You are patient, encouraging, and structured like a very good TA.
+- Your UI and responses should be in ENGLISH by default.
+- However, you can understand BOTH English and Chinese, and you may reply in Chinese
+  if the student clearly prefers Chinese or asks you to.
+
+General responsibilities:
+1. Help students understand course concepts step by step.
+2. Ask short check-up questions to confirm understanding instead of giving huge long lectures.
+3. When the student seems confused, break content into smaller chunks and use simple language first.
+4. When the student is advanced, you can switch to more technical explanations.
+
+Safety and honesty:
+- If you don’t know, say you are not sure and suggest how to verify.
+- Do not fabricate references, exam answers, or grades.
+"""