- Added OpenAI-compatible LLM endpoints to API backend - Introduced web frontend with Jinja2 templates and static assets - Implemented API proxy routes in web service - Added sample db.json data for items, users, orders, reviews, categories, llm_requests - Updated ADC and Helm configs for separate AI and standard rate limiting - Upgraded FastAPI, Uvicorn, and added httpx, Jinja2, python-multipart dependencies - Added API configuration modal and client-side JS for web app
136 lines
4.2 KiB
HTML
136 lines
4.2 KiB
HTML
{% extends "base.html" %} {% block title %}LLM Chat - API Demo{% endblock %} {%
|
|
block content %}
|
|
<div class="page-header">
|
|
<h1>🤖 AI Chat - Videogame Expert</h1>
|
|
<p>Chat with our AI assistant (Rate limited: 100 tokens/60s)</p>
|
|
</div>
|
|
|
|
<div class="chat-container">
|
|
<div class="chat-messages" id="chat-messages">
|
|
<div class="system-message">
|
|
Welcome! Ask me anything about videogames. I'm powered by the
|
|
videogame-expert model.
|
|
</div>
|
|
</div>
|
|
|
|
<div class="chat-input-container">
|
|
<textarea
|
|
id="chat-input"
|
|
placeholder="Type your message here..."
|
|
rows="3"
|
|
></textarea>
|
|
<button id="send-btn" class="btn btn-primary" onclick="sendMessage()">
|
|
Send Message
|
|
</button>
|
|
</div>
|
|
|
|
<div class="chat-info">
|
|
<small>
|
|
Model: <strong>videogame-expert</strong> | Status:
|
|
<span id="status">Ready</span> | Rate Limit:
|
|
<strong>100 tokens/60s</strong>
|
|
</small>
|
|
</div>
|
|
</div>
|
|
{% endblock %} {% block scripts %}
|
|
<script src="https://cdn.jsdelivr.net/npm/marked@11.1.1/marked.min.js"></script>
|
|
<script>
|
|
const API_BASE = "/api";
|
|
let isProcessing = false;
|
|
|
|
function addMessage(content, isUser = false) {
|
|
const messagesDiv = document.getElementById("chat-messages");
|
|
const messageDiv = document.createElement("div");
|
|
messageDiv.className = isUser ? "user-message" : "assistant-message";
|
|
|
|
if (isUser) {
|
|
messageDiv.textContent = content;
|
|
} else {
|
|
// Parse markdown for assistant messages
|
|
messageDiv.innerHTML = marked.parse(content);
|
|
}
|
|
|
|
messagesDiv.appendChild(messageDiv);
|
|
messagesDiv.scrollTop = messagesDiv.scrollHeight;
|
|
}
|
|
|
|
function setStatus(text, isError = false) {
|
|
const statusSpan = document.getElementById("status");
|
|
statusSpan.textContent = text;
|
|
statusSpan.style.color = isError ? "#f44336" : "#4CAF50";
|
|
}
|
|
|
|
async function sendMessage() {
|
|
if (isProcessing) return;
|
|
|
|
const input = document.getElementById("chat-input");
|
|
const prompt = input.value.trim();
|
|
|
|
if (!prompt) {
|
|
alert("Please enter a message");
|
|
return;
|
|
}
|
|
|
|
// Add user message
|
|
addMessage(prompt, true);
|
|
input.value = "";
|
|
|
|
// Set processing state
|
|
isProcessing = true;
|
|
document.getElementById("send-btn").disabled = true;
|
|
setStatus("Processing...");
|
|
|
|
try {
|
|
const response = await fetch(`${API_BASE}/llm/chat`, {
|
|
method: "POST",
|
|
headers: {
|
|
"Content-Type": "application/json",
|
|
},
|
|
body: JSON.stringify({
|
|
prompt: prompt,
|
|
max_tokens: 150,
|
|
temperature: 0.7,
|
|
model: "videogame-expert",
|
|
}),
|
|
});
|
|
|
|
if (!response.ok) {
|
|
const error = await response.json();
|
|
throw new Error(error.detail || "API request failed");
|
|
}
|
|
|
|
const data = await response.json();
|
|
|
|
// Add assistant response
|
|
addMessage(data.response, false);
|
|
|
|
// Show tokens used
|
|
const tokensInfo = `Tokens used: ${data.tokens_used}`;
|
|
const infoDiv = document.createElement("div");
|
|
infoDiv.className = "system-message";
|
|
infoDiv.textContent = tokensInfo;
|
|
document.getElementById("chat-messages").appendChild(infoDiv);
|
|
|
|
setStatus("Ready");
|
|
} catch (error) {
|
|
console.error("Error:", error);
|
|
addMessage(`Error: ${error.message}`, false);
|
|
setStatus("Error", true);
|
|
} finally {
|
|
isProcessing = false;
|
|
document.getElementById("send-btn").disabled = false;
|
|
}
|
|
}
|
|
|
|
// Allow Enter to send (Shift+Enter for newline)
|
|
document
|
|
.getElementById("chat-input")
|
|
.addEventListener("keydown", function (e) {
|
|
if (e.key === "Enter" && !e.shiftKey) {
|
|
e.preventDefault();
|
|
sendMessage();
|
|
}
|
|
});
|
|
</script>
|
|
{% endblock %}
|