diff --git a/.gitignore b/.gitignore index 449b93909..b32be1694 100644 --- a/.gitignore +++ b/.gitignore @@ -40,3 +40,4 @@ tests/ui-test/chromedriver.exe tests/ui-test/screenshot/** report.*.json *.tsbuildinfo +.env \ No newline at end of file diff --git a/llm-backend-poc/backend.js b/llm-backend-poc/backend.js new file mode 100644 index 000000000..fffbbb898 --- /dev/null +++ b/llm-backend-poc/backend.js @@ -0,0 +1,51 @@ +require("dotenv").config(); +const express = require("express"); // to build HTTP servers in Node.js +const cors = require("cors"); //middleware, allows the frontend (which runs on one port) to talk to the backend (which runs on a different port) +const bodyParser = require("body-parser"); // parses the JSON body of incoming HTTP requests so that data is accessible +const { OpenAI } = require("openai"); + +const app = express(); // creates instance of the express app, which will be the server +const port = 3001; + +const openai = new OpenAI({ apiKey: process.env.OPENAI_API_KEY }); + +app.use(cors()); // Enable CORS so frontend can send requests to backend +app.use(bodyParser.json()); // tells express to automatically parse incoming request bodies as JSON. Without, req.body.message would be undefined + +// LLM's behavior +const systemMessage = { + role: "system", + content: + "You only answer questions related to programming, software development, or your own capabilities. If a user asks about anything else (like politics, personal opinions, religion, etc), politely decline and redirect them to ask about code or AI-related questions.", +}; + +// creates route to handle chat requests +app.post("/chat", async (req, res) => { + const userMessage = req.body.message; + if (!userMessage) return res.status(400).json({ error: "No message sent" }); + + // creates the message that will be sent to OpenAI. It contains the system role/context and the user input + const messages = [systemMessage, { role: "user", content: userMessage }]; + + // sends the message to OpenAI and waits for the response + try { + const completion = await openai.chat.completions.create({ + model: "gpt-4.1-mini", + messages, + }); + + const reply = completion.choices[0].message.content; // extracts the reply from OpenAI + return res.json({ reply }); // sends reply to frontend (in JSON format) + } + + // error handling + catch (err) { + console.error("Error from OpenAI:", err); + return res.status(500).json({ error: "Something went wrong" }); + } +}); + +// tells app to start listening on port 3001 +app.listen(port, () => { + console.log(`LLM backend server running on http://localhost:${port}`); +}); diff --git a/llm-backend-poc/package-lock.json b/llm-backend-poc/package-lock.json new file mode 100644 index 000000000..bd88aedb1 --- /dev/null +++ b/llm-backend-poc/package-lock.json @@ -0,0 +1,883 @@ +{ + "name": 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"^5.1.0", + "openai": "^5.10.1" + } +} diff --git a/package.json b/package.json index 64639f356..cf2cd59a3 100644 --- a/package.json +++ b/package.json @@ -76,10 +76,12 @@ "browserify": "17.0.0", "chai": "^3.5.0", "chalk": "^4.1.2", + "cors": "^2.8.5", "cssnano": "4.1.10", "dashjs": "^4.4.0", "diff-match-patch": "^1.0.5", "dompurify": "2.0.17", + "express": "^5.1.0", "faye-websocket": "0.11.1", "karma": "6.4.4", "karma-chai": "0.1.0", diff --git a/webapp/src/editortoolbar.tsx b/webapp/src/editortoolbar.tsx index 35045b7d4..eba8439a6 100644 --- a/webapp/src/editortoolbar.tsx +++ b/webapp/src/editortoolbar.tsx @@ -9,6 +9,7 @@ import * as identity from "./identity"; import { ProjectView } from "./app"; import { userPrefersDownloadFlagSet } from "./webusb"; import { dialogAsync, hideDialog } from "./core"; +import { LLMChat } from "./llmbutton"; import ISettingsProps = pxt.editor.ISettingsProps; import SimState = pxt.editor.SimState; @@ -462,6 +463,7 @@ export class EditorToolbar extends data.Component } + ; } } diff --git a/webapp/src/llmbutton.tsx b/webapp/src/llmbutton.tsx new file mode 100644 index 000000000..2fe7e8dd5 --- /dev/null +++ b/webapp/src/llmbutton.tsx @@ -0,0 +1,125 @@ +import * as React from "react"; + +// declares LLMChat react component +export const LLMChat: React.FC = () => { + const [isOpen, setIsOpen] = React.useState(false); // controls whether the chat popup is open or closed + const [input, setInput] = React.useState(""); // stores the user's input in text box + const [messages, setMessages] = React.useState([]); // stores the chat history + + const handleToggle = () => setIsOpen(!isOpen); + + // handles sending the user's message to the backend + const handleSend = async () => { + if (!input.trim()) return; // if the input is empty, do nothing + + // add the user's message to chat and clears input field + const userMessage = input; + setMessages((prev) => [...prev, `You: ${userMessage}`]); + setInput(""); + + // sends the user's message to the backend and waits for the response + try { + const response = await fetch("http://localhost:3001/chat", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ message: userMessage }) + }); + + const data = await response.json(); // parses the JSON response from the backend + + // if there's a reply, show it, otherwise, show an error message + if (data.reply) { + setMessages((prev) => [...prev, `LLM: ${data.reply}`]); + } else { + setMessages((prev) => [...prev, "LLM: [Error getting reply]"]); + } + } + + // error handling + catch (err) { + console.error("Error:", err); + setMessages((prev) => [...prev, "LLM: [Network error]"]); + } + }; + + + return ( + <> + {/* Floating Button */} + + + {/* Chat Popup */} + {isOpen && ( +
+ {/* Chat Header */} +
+ Ask a Question +
+ + {/* Chat Messages */} +
+ {messages.map((msg, index) => ( +
{msg}
+ ))} +
+ + {/* Input Area */} +
+ setInput(e.target.value)} + onKeyDown={(e) => e.key === "Enter" && handleSend()} + style={{ width: "100%", padding: "5px", fontSize: "14px" }} + placeholder="Ask your question..." + /> +
+
+ )} + + ); +};