在校生的零成本 AI 作品集：三个可演示项目的实现方案

from fastapi import FastAPI
from openai import OpenAI

app = FastAPI()
client = OpenAI(base_url="https://你的模型服务地址/v1", api_key="你的密钥")

# 简化版检索：正式项目可替换为向量库
KNOWLEDGE = ["作业截止日期为每周五 18:00。", "期中考试占总评 30%。"]


def retrieve(question: str) -> str:
    hits = [k for k in KNOWLEDGE if any(w in k for w in question)]
    return "\n".join(hits) or "未检索到相关资料"


@app.get("/ask")
def ask(q: str):
    context = retrieve(q)
    resp = client.chat.completions.create(
        model="你的模型名",
        messages=[
            {"role": "system", "content": f"只根据资料回答：\n{context}"},
            {"role": "user", "content": q},
        ],
    )
    return {"answer": resp.choices[0].message.content}