G4f.dev

GPT4Free Documentation Hub

<img src="https://g4f.dev/docs/images/pico.jpeg" alt="Welcome to the official docs for **GPT4Free** – free and convenient AI endpoints you can use directly in your apps, scripts, and even right in your browser. Here you’ll find a clear overview, quick examples, and entry points to deeper docs for every major feature."/>

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Installation & Setup

For full install guides—choose your method:

• Git Install
• Docker
• Requirements

For rapid starts, you can use either Python or JavaScript (web).

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Getting Started

📝 Text Generation

Python example for chat completion (with and without web search):

from g4f.client import Client

client = Client()
response = client.chat.completions.create(
    model="gpt-4.1",  # Try "gpt-4o", "deepseek-v3", etc.
    messages=[{"role": "user", "content": "Hello"}],
    web_search=False
)
print(response.choices[0].message.content)

Output:

Hello! How can I assist you today?

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🎨 Image Generation

Generate images with a single call (returns URLs or base64):

from g4f.client import Client

client = Client()
response = client.images.generate(
    model="flux",  # Other models: 'dalle-3', 'gpt-image', etc.
    prompt="a white siamese cat",
    response_format="url"
)
print(f"Generated image URL: {response.data[0].url}")

More Python client info →

and Async client →

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🧙‍♂️ Using GPT4Free.js

Use the official JS client right in the browser—no backend needed.

For text generation:

<script type="module">
    import Client from 'https://g4f.dev/dist/js/client.js';

    const client = new Client();
    const result = await client.chat.completions.create({
        model: 'gpt-4.1',  // Or "gpt-4o", "deepseek-v3"
        messages: [{ role: 'user', content: 'Explain quantum computing' }]
    });
    console.log(result.choices[0].message.content);
</script>

And for image generation:

<script type="module">
    import Client from 'https://g4f.dev/dist/js/client.js';

    const client = new Client();
    const response = await client.images.generate({
        model: "flux", // Or "dalle-3", "gpt-image"
        prompt: "a white siamese cat"
    });
    const imageUrl = response.data[0].url;
    console.log(`Generated Image URL: ${imageUrl}`);
    // Example: document.body.innerHTML += `<img src="${imageUrl}" />`;
</script>

See more JS client usage →

💻 Using CLI Client

Examples

1. Text generation:

   g4f client "Explain quantum computing in simple terms"
   

2. Image description:

   g4f client image.jpg "Describe this image"
   

3. Image generation (with supported models):

   g4f client -m flux -O output.jpg "A futuristic cityscape"
   

CLI Client documentation →

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Deep Dives

• API endpoints and usage *new
• Available Providers & Models
• Selecting a Provider
• Provider Documentation
• API docs (full spec)
• File API Documentation (Files and Documents)
• Media Documentation (Audio, Image and Video)
• Vision Support (Image Upload)
• Image Editing & Variation
• Authentication, Configuration Guide (.har and cookies)
• Advanced: Create your own Provider
• Routing with custom models (OpenClaw)
• Integrations: LangChain, PydanticAI
• GUI/WebUI, Phone, Backend API
• Troubleshooting

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Community & Links

• Open Source: GitHub: gpt4free/g4f.dev

• Contribute & Report Bugs: PRs & issues are welcome!

• Project Website: https://g4f.dev/

• Pollinations AI:
  <img src="https://image.pollinations.ai/prompt/Create+a+logo+for+Pollinations+AI+featuring+an+abstract+flower+blooming+digital+petals+glowing+center+futuristic+font+Pollinations+AI?width=512&height=256&nologo=true" height="80">

  GitHub: pollinations/pollinations

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GPT4Free and g4f.dev are continuously improving. Have fun building, and let the bots do the heavy lifting for you!

← Back to GPT4Free GitHub