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import type { Request, Response } from "express"; | |
export function getLandingPageHtml(req: Request, res: Response): void { | |
const host = req.get("host"); | |
const protocol = host && host.endsWith(".hf.space") ? "https" : req.protocol; | |
const baseUrl = `${protocol}://${host}/v1`; | |
res.setHeader("Content-Type", "text/html; charset=utf-8"); | |
res.send(` | |
<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="UTF-8"> | |
<meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
<title>responses.js – OpenAI-compatible Responses API</title> | |
<link href="https://fonts.googleapis.com/css2?family=Inter:wght@400;600;700&display=swap" rel="stylesheet"> | |
<style> | |
:root { | |
--primary: #2563eb; | |
--primary-dark: #1e40af; | |
--accent: #fbbf24; | |
--bg: #f8fafc; | |
--card-bg: #fff; | |
--border: #e5e7eb; | |
--text: #1e293b; | |
--muted: #64748b; | |
--radius: 14px; | |
--shadow: 0 4px 24px #0002; | |
} | |
html, body { | |
height: 100%; | |
max-width: 100vw; | |
overflow-x: hidden; | |
} | |
body { | |
font-family: 'Inter', Arial, sans-serif; | |
background: var(--bg); | |
color: var(--text); | |
margin: 0; | |
min-height: 100vh; | |
display: flex; | |
flex-direction: column; | |
width: 100%; | |
box-sizing: border-box; | |
} | |
.header-inner, main, .hero, .api-endpoint-box, .features, .feature-card, .examples-section, .more-info-footer { | |
width: 100%; | |
box-sizing: border-box; | |
} | |
.sticky-header { | |
position: sticky; | |
top: 0; | |
z-index: 100; | |
background: linear-gradient(90deg, var(--primary) 0%, #60a5fa 100%); | |
color: #fff; | |
box-shadow: 0 2px 12px #0001; | |
width: 100%; | |
} | |
.header-inner { | |
max-width: 1100px; | |
margin: 0 auto; | |
display: flex; | |
align-items: center; | |
justify-content: space-between; | |
padding: 1.5rem 1.5rem 1.2rem 1.5rem; | |
width: 100%; | |
box-sizing: border-box; | |
} | |
.header-title { | |
display: flex; | |
align-items: center; | |
gap: 0.8rem; | |
min-width: 0; | |
} | |
.header-title svg { | |
height: 2.2rem; | |
width: 2.2rem; | |
display: block; | |
} | |
.header-title h1 { | |
font-size: 2.1rem; | |
font-weight: 700; | |
margin: 0; | |
letter-spacing: -1px; | |
white-space: pre-line; | |
word-break: break-word; | |
overflow-wrap: anywhere; | |
} | |
.github-btn { | |
background: #fff2; | |
color: #fff; | |
border: 1.5px solid #fff4; | |
border-radius: 8px; | |
padding: 0.6em 1.3em; | |
font-weight: 600; | |
font-size: 1.05em; | |
text-decoration: none; | |
display: flex; | |
align-items: center; | |
gap: 0.5em; | |
transition: background 0.2s, color 0.2s; | |
min-width: 0; | |
} | |
.github-btn:hover { | |
background: #fff; | |
color: var(--primary-dark); | |
} | |
main { | |
flex: 1; | |
max-width: 900px; | |
margin: 0 auto; | |
padding: 2.5rem 1.2rem 1.5rem 1.2rem; | |
display: flex; | |
flex-direction: column; | |
gap: 2.5rem; | |
width: 100%; | |
box-sizing: border-box; | |
} | |
.hero { | |
background: linear-gradient(120deg, #dbeafe 0%, #f0fdf4 100%); | |
border-radius: var(--radius); | |
box-shadow: var(--shadow); | |
padding: 2.5rem 2rem 2rem 2rem; | |
display: flex; | |
flex-direction: column; | |
align-items: center; | |
text-align: center; | |
position: relative; | |
overflow: hidden; | |
width: 100%; | |
box-sizing: border-box; | |
} | |
.hero h2 { | |
font-size: 2rem; | |
font-weight: 700; | |
margin: 0 0 0.7rem 0; | |
color: var(--primary-dark); | |
word-break: break-word; | |
overflow-wrap: anywhere; | |
} | |
.hero p { | |
font-size: 1.18rem; | |
color: var(--muted); | |
margin: 0 0 1.5rem 0; | |
word-break: break-word; | |
overflow-wrap: anywhere; | |
} | |
.api-endpoint-box { | |
background: #fff; | |
border: 2px solid var(--primary); | |
border-radius: 12px; | |
padding: 1.3rem 1.2rem 1.3rem 1.2rem; | |
margin: 1.5rem 0 1.5rem 0; | |
text-align: center; | |
font-size: 1.18rem; | |
box-shadow: 0 2px 8px #174ea610; | |
position: relative; | |
display: flex; | |
flex-direction: column; | |
align-items: center; | |
gap: 0.5em; | |
width: 100%; | |
box-sizing: border-box; | |
} | |
.api-endpoint-url { | |
display: inline-block; | |
background: #f1f5f9; | |
color: var(--primary-dark); | |
font-family: 'Fira Mono', 'Consolas', monospace; | |
font-size: 1.15em; | |
padding: 0.3em 0.7em; | |
border-radius: 6px; | |
border: 1px solid #cbd5e1; | |
margin: 0.5em 0 0.5em 0; | |
word-break: break-all; | |
overflow-wrap: anywhere; | |
max-width: 100%; | |
} | |
.copy-endpoint-btn { | |
position: absolute; | |
top: 16px; | |
right: 16px; | |
background: var(--primary); | |
color: #fff; | |
border: none; | |
border-radius: 4px; | |
padding: 0.3em 1em; | |
font-size: 1em; | |
cursor: pointer; | |
opacity: 0.85; | |
transition: background 0.2s, opacity 0.2s; | |
z-index: 2; | |
min-width: 0; | |
} | |
.copy-endpoint-btn:hover { background: var(--primary-dark); opacity: 1; } | |
.copy-endpoint-btn.copied { background: #388e3c; color: #fff; opacity: 1; } | |
.cta { | |
margin: 1.5rem auto 0 auto; | |
background: var(--primary); | |
color: #fff; | |
text-decoration: none; | |
font-weight: bold; | |
padding: 1rem 2.5rem; | |
border-radius: 8px; | |
font-size: 1.2rem; | |
transition: background 0.2s; | |
box-shadow: 0 2px 8px #2563eb20; | |
display: inline-block; | |
max-width: 100%; | |
} | |
.cta:hover { background: var(--primary-dark); } | |
.features { | |
display: grid; | |
grid-template-columns: repeat(2, 1fr); /* 2 columns for 2x2 grid */ | |
gap: 1.5rem; | |
margin: 2rem 0 0 0; | |
width: 100%; | |
box-sizing: border-box; | |
} | |
.feature-card { | |
background: var(--card-bg); | |
border-radius: var(--radius); | |
box-shadow: 0 1px 6px #0001; | |
padding: 1.2rem 1.3rem; | |
border: 1.5px solid var(--border); | |
display: flex; | |
flex-direction: column; | |
align-items: flex-start; | |
gap: 0.5em; | |
min-height: 120px; | |
position: relative; | |
transition: box-shadow 0.2s, border 0.2s; | |
width: 100%; | |
box-sizing: border-box; | |
} | |
.feature-card:hover { | |
box-shadow: 0 4px 16px #2563eb22; | |
border: 1.5px solid var(--primary); | |
} | |
.feature-card b { | |
font-size: 1.08em; | |
color: var(--primary-dark); | |
} | |
.examples-section { | |
margin-top: 2.5rem; | |
width: 100%; | |
box-sizing: border-box; | |
} | |
.examples-tabs { | |
display: flex; | |
gap: 0.5em; | |
margin-bottom: 1.2em; | |
border-bottom: 2px solid #e5e7eb; | |
width: 100%; | |
box-sizing: border-box; | |
min-width: 0; | |
} | |
.examples-tab { | |
background: none; | |
border: none; | |
font-size: 1.08em; | |
font-weight: 600; | |
color: var(--muted); | |
padding: 0.7em 1.2em 0.5em 1.2em; | |
cursor: pointer; | |
border-radius: 8px 8px 0 0; | |
transition: color 0.2s, background 0.2s; | |
min-width: 0; | |
} | |
.examples-tab.active { | |
color: var(--primary-dark); | |
background: #fff; | |
border-bottom: 2px solid var(--primary); | |
} | |
.example-panel { display: none; } | |
.example-panel.active { display: block; } | |
pre { | |
background: #f4f4f8; | |
border-radius: 8px; | |
padding: 1.1rem 1rem 1.1rem 1rem; | |
overflow-x: auto; | |
font-size: 0.98rem; | |
position: relative; | |
margin: 0.5em 0 0.5em 0; | |
width: 100%; | |
box-sizing: border-box; | |
max-width: 100vw; | |
} | |
code { | |
font-family: 'Fira Mono', 'Consolas', monospace; | |
font-size: 1em; | |
background: none; | |
color: #222; | |
word-break: break-word; | |
overflow-wrap: anywhere; | |
max-width: 100%; | |
display: block; | |
} | |
.copy-btn { | |
position: absolute; | |
top: 10px; | |
right: 10px; | |
background: #e0e4ea; | |
border: none; | |
border-radius: 4px; | |
padding: 0.2em 0.7em; | |
font-size: 0.95em; | |
color: var(--primary-dark); | |
cursor: pointer; | |
opacity: 0.7; | |
transition: opacity 0.2s, background 0.2s; | |
z-index: 2; | |
min-width: 0; | |
} | |
.copy-btn:hover { opacity: 1; background: #c9d3e6; } | |
.copy-btn.copied { color: #388e3c; background: #d0f5dd; opacity: 1; } | |
.more-info-footer { | |
background: #f1f5f9; | |
border-top: 1.5px solid #e5e7eb; | |
margin-top: 3rem; | |
padding: 2rem 1rem 1.5rem 1rem; | |
border-radius: 0 0 var(--radius) var(--radius); | |
text-align: center; | |
color: var(--muted); | |
font-size: 1.08em; | |
width: 100%; | |
box-sizing: border-box; | |
} | |
.more-info-footer ul { | |
list-style: none; | |
padding: 0; | |
margin: 0.5em 0 0 0; | |
display: flex; | |
flex-wrap: wrap; | |
gap: 1.5em; | |
justify-content: center; | |
width: 100%; | |
box-sizing: border-box; | |
} | |
.more-info-footer a { | |
color: var(--primary-dark); | |
text-decoration: none; | |
font-weight: 500; | |
transition: color 0.2s; | |
} | |
.more-info-footer a:hover { color: var(--primary); } | |
@media (max-width: 700px) { | |
.header-inner { | |
flex-direction: row; | |
align-items: center; | |
gap: 1.2em; | |
width: 100%; | |
flex-wrap: nowrap; | |
} | |
.header-title { flex-shrink: 1; min-width: 0; } | |
.github-btn { margin-left: auto; } | |
.header-title h1 { font-size: 1.5rem; } | |
main { padding: 1.2rem; } | |
.hero { padding: 1.2rem 0.7rem 1.2rem 0.7rem; } | |
.features { grid-template-columns: 1fr; gap: 1.1rem; } | |
.feature-card { min-height: unset; font-size: 0.98em; } | |
.api-endpoint-box { padding: 1rem 0.7rem; font-size: 1em; } | |
.api-endpoint-url { font-size: 1em; } | |
.cta { padding: 0.8rem 1.5rem; font-size: 1rem; } | |
.examples-section { margin-top: 1.5rem; } | |
.examples-tabs { flex-wrap: wrap; gap: 0.2em; } | |
.examples-tab { font-size: 1em; padding: 0.5em 0.7em 0.4em 0.7em; } | |
pre { font-size: 0.92rem; padding: 0.8rem 0.5rem; } | |
.copy-btn { top: 6px; right: 6px; font-size: 0.9em; padding: 0.15em 0.5em; } | |
.api-endpoint-box > div[style*="font-size"] { | |
font-size: 0.95em !important; | |
white-space: normal; | |
word-break: break-word; | |
overflow-wrap: anywhere; | |
} | |
} | |
@media (max-width: 500px) { | |
.header-inner { padding: 1rem 0.5rem 1rem 0.5rem; } | |
.header-title h1 { font-size: 1.1rem; } | |
.header-title svg, .header-title img { height: 2.2rem !important; width: 2.2rem !important; } | |
main { padding: 0.5rem; } | |
.hero { padding: 0.7rem 0.2rem 0.7rem 0.2rem; } | |
.features { gap: 0.7rem; } | |
.feature-card { padding: 0.7rem 0.5rem; font-size: 0.92em; } | |
.api-endpoint-box { padding: 0.7rem 0.3rem; font-size: 0.95em; } | |
.api-endpoint-url { font-size: 0.95em; } | |
.cta { padding: 0.6rem 1rem; font-size: 0.95rem; } | |
.examples-section { margin-top: 1rem; } | |
.examples-tabs { gap: 0.1em; } | |
.examples-tab { font-size: 0.95em; padding: 0.4em 0.5em 0.3em 0.5em; } | |
pre { font-size: 0.88rem; padding: 0.6rem 0.2rem; } | |
.copy-btn { top: 4px; right: 4px; font-size: 0.85em; padding: 0.1em 0.3em; } | |
.more-info-footer { font-size: 0.98em; padding: 1rem 0.2rem 1rem 0.2rem; } | |
.api-endpoint-box > div[style*="font-size"] { | |
font-size: 0.88em !important; | |
} | |
} | |
/* Make code blocks and tabs horizontally scrollable on small screens */ | |
@media (max-width: 700px) { | |
.examples-tabs { overflow-x: auto; } | |
pre { overflow-x: auto; } | |
} | |
</style> | |
<!-- Prism.js for syntax highlighting --> | |
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/[email protected]/themes/prism.min.css"> | |
<script src="https://cdn.jsdelivr.net/npm/[email protected]/prism.min.js"></script> | |
<script src="https://cdn.jsdelivr.net/npm/[email protected]/components/prism-javascript.min.js"></script> | |
<script src="https://cdn.jsdelivr.net/npm/[email protected]/components/prism-python.min.js"></script> | |
<script> | |
function copyCode(btn) { | |
const pre = btn.parentElement; | |
const code = pre.querySelector('code'); | |
if (!code) return; | |
const text = code.innerText; | |
navigator.clipboard.writeText(text).then(() => { | |
btn.textContent = 'Copied!'; | |
btn.classList.add('copied'); | |
setTimeout(() => { | |
btn.textContent = 'Copy'; | |
btn.classList.remove('copied'); | |
}, 1200); | |
}); | |
} | |
function copyEndpointUrl(btn) { | |
const url = document.getElementById('api-endpoint-url').innerText; | |
navigator.clipboard.writeText(url).then(() => { | |
btn.textContent = 'Copied!'; | |
btn.classList.add('copied'); | |
setTimeout(() => { | |
btn.textContent = 'Copy'; | |
btn.classList.remove('copied'); | |
}, 1200); | |
}); | |
} | |
// Tabs for examples | |
function showExampleTab(idx) { | |
document.querySelectorAll('.examples-tab').forEach((tab, i) => { | |
tab.classList.toggle('active', i === idx); | |
}); | |
document.querySelectorAll('.example-panel').forEach((panel, i) => { | |
panel.classList.toggle('active', i === idx); | |
}); | |
} | |
window.addEventListener('DOMContentLoaded', function() { | |
showExampleTab(0); | |
document.querySelectorAll('.examples-tab').forEach((tab, i) => { | |
tab.addEventListener('click', () => showExampleTab(i)); | |
}); | |
}); | |
</script> | |
</head> | |
<body> | |
<header class="sticky-header"> | |
<div class="header-inner"> | |
<div class="header-title"> | |
<img src="https://huggingface.co/datasets/huggingface/brand-assets/resolve/main/hf-logo.svg" alt="Hugging Face Logo" style="height:4.0rem;width:4.0rem;display:block;"/> | |
<h1>responses.js</h1> | |
</div> | |
<a href="https://github.com/huggingface/responses.js" target="_blank" aria-label="GitHub Repository" class="github-btn"> | |
<svg height="20" width="20" viewBox="0 0 16 16" fill="currentColor" style="display: block;"><path d="M8 0C3.58 0 0 3.58 0 8c0 3.54 2.29 6.53 5.47 7.59.4.07.55-.17.55-.38 0-.19-.01-.82-.01-1.49-2.01.37-2.53-.49-2.69-.94-.09-.23-.48-.94-.82-1.13-.28-.15-.68-.52-.01-.53.63-.01 1.08.58 1.23.82.72 1.21 1.87.87 2.33.66.07-.52.28-.87.51-1.07-1.78-.2-3.64-.89-3.64-3.95 0-.87.31-1.59.82-2.15-.08-.2-.36-1.02.08-2.12 0 0 .67-.21 2.2.82.64-.18 1.32-.27 2-.27.68 0 1.36.09 2 .27 1.53-1.04 2.2-.82 2.2-.82.44 1.1.16 1.92.08 2.12.51.56.82 1.27.82 2.15 0 3.07-1.87 3.75-3.65 3.95.29.25.54.73.54 1.48 0 1.07-.01 1.93-.01 2.19 0 .21.15.46.55.38A8.013 8.013 0 0 0 16 8c0-4.42-3.58-8-8-8z"/></svg> | |
GitHub | |
</a> | |
</div> | |
</header> | |
<main> | |
<section class="hero"> | |
<h2>OpenAI-compatible Responses API</h2> | |
<p><b>responses.js</b> is an open-source, lightweight server implementing OpenAI's Responses API, built on top of Chat Completions and powered by Hugging Face Inference Providers.</p> | |
<div class="api-endpoint-box"> | |
<button class="copy-endpoint-btn" onclick="copyEndpointUrl(this)">Copy</button> | |
<div><b>API Endpoint:</b></div> | |
<span class="api-endpoint-url" id="api-endpoint-url">${baseUrl}</span> | |
<div style="font-size:0.98em; color:#333; margin-top:0.5em;">Get started by sending requests to this endpoint</div> | |
</div> | |
<a class="cta" href="https://github.com/huggingface/responses.js" target="_blank">View on GitHub</a> | |
</section> | |
<section> | |
<div class="features"> | |
<div class="feature-card"> | |
<b>OpenAI-compatible</b><br>Stateless implementation of the <a href="https://platform.openai.com/docs/api-reference/responses" target="_blank">Responses API</a> | |
</div> | |
<div class="feature-card"> | |
<b>Inference Providers</b><br>Powered by Hugging Face Inference Providers | |
</div> | |
<div class="feature-card"> | |
<b>Multi-modal</b><br>Text and image input support | |
</div> | |
<div class="feature-card"> | |
<b>Streaming, & Structured Output</b><br>Supports streaming, JSON schema, and function calling | |
</div> | |
</div> | |
</section> | |
<section class="examples-section"> | |
<h2 style="color:var(--primary-dark);margin-bottom:1.2em;">Examples</h2> | |
<div class="examples-tabs"> | |
<button class="examples-tab active" type="button">Text</button> | |
<button class="examples-tab" type="button">Text + Image Input</button> | |
<button class="examples-tab" type="button">Multi-turn</button> | |
<button class="examples-tab" type="button">Streaming</button> | |
<button class="examples-tab" type="button">Function Calling</button> | |
<button class="examples-tab" type="button">Structured Output</button> | |
<button class="examples-tab" type="button">MCP</button> | |
</div> | |
<div class="example-panel active"> | |
<pre><button class="copy-btn" onclick="copyCode(this)">Copy</button><code class="language-python">from openai import OpenAI | |
import os | |
client = OpenAI( | |
base_url="${baseUrl}", | |
api_key=os.getenv("HF_TOKEN"), # visit https://huggingface.co/settings/tokens | |
) | |
response = client.responses.create( | |
model="Qwen/Qwen2.5-VL-7B-Instruct", | |
instructions="You are a helpful assistant.", | |
input="Tell me a three sentence bedtime story about a unicorn.", | |
) | |
print(response) | |
print(response.output_text)</code></pre> | |
</div> | |
<div class="example-panel"> | |
<pre><button class="copy-btn" onclick="copyCode(this)">Copy</button><code class="language-python">from openai import OpenAI | |
import os | |
client = OpenAI( | |
base_url="${baseUrl}", | |
api_key=os.getenv("HF_TOKEN"), # visit https://huggingface.co/settings/tokens | |
) | |
response = client.responses.create( | |
model="Qwen/Qwen2.5-VL-7B-Instruct", | |
input=[ | |
{ | |
"role": "user", | |
"content": [ | |
{"type": "input_text", "text": "what is in this image?"}, | |
{ | |
"type": "input_image", | |
"image_url": "https://upload.wikimedia.org/wikipedia/commons/thumb/d/dd/Gfp-wisconsin-madison-the-nature-boardwalk.jpg/2560px-Gfp-wisconsin-madison-the-nature-boardwalk.jpg", | |
}, | |
], | |
} | |
], | |
) | |
print(response) | |
print(response.output_text)</code></pre> | |
</div> | |
<div class="example-panel"> | |
<pre><button class="copy-btn" onclick="copyCode(this)">Copy</button><code class="language-python">from openai import OpenAI | |
import os | |
client = OpenAI( | |
base_url="${baseUrl}", | |
api_key=os.getenv("HF_TOKEN"), # visit https://huggingface.co/settings/tokens | |
) | |
response = client.responses.create( | |
model="Qwen/Qwen2.5-VL-7B-Instruct", | |
input=[ | |
{ | |
"role": "developer", | |
"content": "Talk like a pirate.", | |
}, | |
{ | |
"role": "user", | |
"content": "Are semicolons optional in JavaScript?", | |
}, | |
], | |
) | |
print(response) | |
print(response.output_text)</code></pre> | |
</div> | |
<div class="example-panel"> | |
<pre><button class="copy-btn" onclick="copyCode(this)">Copy</button><code class="language-python">from openai import OpenAI | |
import os | |
client = OpenAI( | |
base_url="${baseUrl}", | |
api_key=os.getenv("HF_TOKEN"), # visit https://huggingface.co/settings/tokens | |
) | |
stream = client.responses.create( | |
model="Qwen/Qwen2.5-VL-7B-Instruct", | |
input=[ | |
{ | |
"role": "user", | |
"content": "Say 'double bubble bath' ten times fast.", | |
}, | |
], | |
stream=True, | |
) | |
for event in stream: | |
print(event)</code></pre> | |
</div> | |
<div class="example-panel"> | |
<pre><button class="copy-btn" onclick="copyCode(this)">Copy</button><code class="language-python">from openai import OpenAI | |
import os | |
client = OpenAI( | |
base_url="${baseUrl}", | |
api_key=os.getenv("HF_TOKEN"), # visit https://huggingface.co/settings/tokens | |
) | |
tools = [ | |
{ | |
"type": "function", | |
"name": "get_current_weather", | |
"description": "Get the current weather in a given location", | |
"parameters": { | |
"type": "object", | |
"properties": { | |
"location": {"type": "string", "description": "The city and state, e.g. San Francisco, CA"}, | |
"unit": {"type": "string", "enum": ["celsius", "fahrenheit"]}, | |
}, | |
"required": ["location", "unit"], | |
}, | |
} | |
] | |
response = client.responses.create( | |
model="cerebras@meta-llama/Llama-3.3-70B-Instruct", | |
tools=tools, | |
input="What is the weather like in Boston today?", | |
tool_choice="auto", | |
) | |
print(response)</code></pre> | |
</div> | |
<div class="example-panel"> | |
<pre><button class="copy-btn" onclick="copyCode(this)">Copy</button><code class="language-python">from openai import OpenAI | |
from pydantic import BaseModel | |
import os | |
client = OpenAI( | |
base_url="${baseUrl}", | |
api_key=os.getenv("HF_TOKEN"), # visit https://huggingface.co/settings/tokens | |
) | |
class CalendarEvent(BaseModel): | |
name: str | |
date: str | |
participants: list[str] | |
response = client.responses.parse( | |
model="novita@meta-llama/Meta-Llama-3-70B-Instruct", | |
input=[ | |
{"role": "system", "content": "Extract the event information."}, | |
{ | |
"role": "user", | |
"content": "Alice and Bob are going to a science fair on Friday.", | |
}, | |
], | |
text_format=CalendarEvent, | |
) | |
print(response.output_parsed)</code></pre> | |
</div> | |
<div class="example-panel"> | |
<pre><button class="copy-btn" onclick="copyCode(this)">Copy</button><code class="language-python">from openai import OpenAI | |
import os | |
client = OpenAI( | |
base_url="${baseUrl}", | |
api_key=os.getenv("HF_TOKEN"), # visit https://huggingface.co/settings/tokens | |
) | |
response = client.responses.create( | |
model="cerebras@meta-llama/Llama-3.3-70B-Instruct", | |
input="how does tiktoken work?", | |
tools=[ | |
{ | |
"type": "mcp", | |
"server_label": "gitmcp", | |
"server_url": "https://gitmcp.io/openai/tiktoken", | |
"allowed_tools": ["search_tiktoken_documentation", "fetch_tiktoken_documentation"], | |
"require_approval": "never", | |
}, | |
], | |
) | |
for output in response.output: | |
print(output)</code></pre> | |
</div> | |
</section> | |
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<ul> | |
<li><a href="https://github.com/huggingface/responses.js" target="_blank">GitHub Repository</a></li> | |
<li><a href="https://platform.openai.com/docs/api-reference/responses" target="_blank">OpenAI Responses API Docs</a></li> | |
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