// 简单的静态网页调用 GitHub Models API 进行聊天
// 注意:将 token 暴露在前端存在安全风险,仅用于本地演示
const endpoint = "https://models.github.ai/inference";
let apiKey = ""; // 注意:已硬编码,仅用于本地演示
const chatBox = document.getElementById("chat-box");
const userInput = document.getElementById("user-input");
const sendBtn = document.getElementById("send-btn");
const modelSelect = document.getElementById("model");
// 模型信息映射(中文描述与上下文上限)
const MODEL_INFO = {
"openai/gpt-4.1": {
name: "gpt-4.1",
inputTokens: "1049k",
outputTokens: "33k",
about: "在各方面优于 gpt-4o,编码、指令跟随与长上下文理解均有显著提升"
},
"openai/gpt-4.1-mini": {
name: "gpt-4.1-mini",
inputTokens: "1049k",
outputTokens: "33k",
about: "在各方面优于 gpt-4o-mini,在编码、指令跟随与长上下文处理上有显著提升"
},
"openai/gpt-4.1-nano": {
name: "gpt-4.1-nano",
inputTokens: "1049k",
outputTokens: "33k",
about: "在编码、指令跟随与长上下文处理上有所提升,同时具备更低延迟与成本"
},
"openai/gpt-4o": {
name: "gpt-4o",
inputTokens: "131k",
outputTokens: "16k",
about: "OpenAI 最先进的多模态 gpt-4o 家族模型,可处理文本与图像输入"
},
"openai/gpt-5": {
name: "gpt-5",
inputTokens: "200k",
outputTokens: "100k",
about: "针对逻辑密集与多步骤任务设计"
},
"deepseek-r1": {
name: "deepseek-r1",
inputTokens: "128k",
outputTokens: "4k",
about: "通过逐步训练过程在推理任务上表现出色,适用于语言、科学推理与代码生成等"
},
"deepseek-v3-0324": {
name: "deepseek-v3-0324",
inputTokens: "128k",
outputTokens: "4k",
about: "相较于 DeepSeek-V3 在关键方面显著提升,包括更强的推理能力、函数调用与代码生成表现"
},
"xai/grok-3": {
name: "grok-3",
inputTokens: "131k",
outputTokens: "4k",
about: "Grok 3 是 xAI 的首发模型,由 Colossus 在超大规模上进行预训练,在金融、医疗和法律等专业领域表现突出。"
},
"xai/grok-3-mini": {
name: "grok-3-mini",
inputTokens: "131k",
outputTokens: "4k",
about: "Grok 3 Mini 是一款轻量级模型,会在答复前进行思考。它针对数学与科学问题进行训练,特别适合逻辑类任务。"
}
};
function renderModelInfo() {
const m = MODEL_INFO[modelSelect.value];
const infoEl = document.getElementById('model-info');
if (!infoEl) return;
if (m) {
infoEl.innerHTML = `
${m.name} 上下文 ${m.inputTokens} 输入 · ${m.outputTokens} 输出
简介:${m.about}
`;
} else {
infoEl.innerHTML = `未配置该模型的上下文限制信息
`;
}
}
// Markdown 解析配置(若库已加载)
if (window.marked) {
marked.setOptions({ gfm: true, breaks: true, headerIds: true, mangle: false });
}
function renderMarkdown(text) {
try {
if (window.marked && window.DOMPurify) {
const html = marked.parse(text || '');
return DOMPurify.sanitize(html);
}
} catch (_) {}
return text || '';
}
function appendMessage(role, text){
const message = document.createElement('div');
message.className = `message ${role}`;
const bubble = document.createElement('div');
bubble.className = 'bubble';
// Markdown 渲染
bubble.innerHTML = renderMarkdown(text);
message.appendChild(bubble);
chatBox.appendChild(message);
chatBox.scrollTop = chatBox.scrollHeight;
}
function appendStreamingMessage(role){
const message = document.createElement('div');
message.className = `message ${role}`;
const bubble = document.createElement('div');
bubble.className = 'bubble';
bubble._mdBuffer = '';
bubble.innerHTML = '';
message.appendChild(bubble);
chatBox.appendChild(message);
chatBox.scrollTop = chatBox.scrollHeight;
return bubble;
}
async function sendMessage(){
const content = userInput.value.trim();
if (!content) return;
appendMessage('user', content);
userInput.value = '';
const model = modelSelect.value;
// 令牌已硬编码(本地演示),如未配置则提示
if (!apiKey) {
appendMessage('assistant', '未配置令牌');
return;
}
sendBtn.disabled = true;
const assistantBubble = appendStreamingMessage('assistant');
try {
const res = await fetch(`${endpoint}/chat/completions`, {
method: 'POST',
headers: {
'Content-Type': 'application/json',
'Authorization': `Bearer ${apiKey}`
},
body: JSON.stringify({
model,
temperature: 1,
top_p: 1,
stream: true,
messages: [
{ role: 'system', content: '' },
{ role: 'user', content }
]
})
});
if (!res.ok) {
const errText = await res.text();
throw new Error(`HTTP ${res.status}: ${errText}`);
}
const reader = res.body.getReader();
const decoder = new TextDecoder('utf-8');
let buffer = '';
let doneStream = false;
while (!doneStream) {
const { value, done } = await reader.read();
if (done) break;
buffer += decoder.decode(value, { stream: true });
const parts = buffer.split(/\r?\n/);
buffer = parts.pop();
for (const part of parts) {
const line = part.trim();
if (line === '') continue;
if (line.startsWith('data:')) {
const payload = line.slice(5).trim();
if (payload === '[DONE]') {
doneStream = true;
break;
}
try {
const json = JSON.parse(payload);
const delta = json?.choices?.[0]?.delta?.content ?? json?.choices?.[0]?.message?.content ?? '';
if (delta) {
// 累计流式文本并增量渲染 Markdown
assistantBubble._mdBuffer = (assistantBubble._mdBuffer || '') + delta;
const safeHtml = renderMarkdown(assistantBubble._mdBuffer);
assistantBubble.innerHTML = safeHtml;
chatBox.scrollTop = chatBox.scrollHeight;
}
} catch (e) {
// 忽略无法解析的行
}
}
}
}
if (!assistantBubble._mdBuffer || !assistantBubble.textContent) {
assistantBubble.textContent = '(无内容返回)';
}
} catch (err) {
//assistantBubble.textContent = `出错了:${err.message}`;
assistantBubble.textContent = `调用次数过多或者使用人数过多,请稍后再试!`;
} finally {
sendBtn.disabled = false;
}
}
sendBtn.addEventListener('click', sendMessage);
userInput.addEventListener('keydown', (e) => {
if (e.key === 'Enter' && !e.shiftKey) {
e.preventDefault();
sendMessage();
}
});
// 切换模型时更新信息面板,初次渲染一次
modelSelect.addEventListener('change', renderModelInfo);
renderModelInfo();