Transformers documentation

tiny-agents

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tiny-agents

tiny-agents menawarkan pola minimal untuk membangun agen yang menggunakan tool. Loop Python kecil menghubungkan klien MCP ke tool dari server MCP. Hugging Face Spaces berfungsi sebagai server MCP. Temukan Spaces yang kompatibel lainnya di Hub.

Buat file konfigurasi yang menunjuk ke model lokal Anda dan server tool. Contoh ini menggunakan Space untuk generasi gambar.

{
    "model": "Menlo/Jan-nano",
    "endpointUrl": "http://localhost:8000",
    "servers": [
        {
            "type": "sse",
            "url": "https://huggingface.co/proxy/evalstate-flux1-schnell.hf.space/gradio_api/mcp/sse"
        }
    ]
}

Jalankan agen dengan konfigurasi Anda.

tiny-agents run path/to/your/config.json

Pastikan transformers serve berjalan di latar belakang. Agen akan menggunakan model lokal Anda untuk menjalankan alat pembuatan gambar.

Agent loaded with 1 tools:
 • flux1_schnell_infer
»  Generate an image of a cat on the moon
<Tool req_0_tool_call>flux1_schnell_infer {"prompt": "a cat on the moon", "seed": 42, "randomize_seed": true, "width": 1024, "height": 1024, "num_inference_steps": 4}

Tool req_0_tool_call
[Binary Content: Image image/webp, 57732 bytes]
The task is complete and the content accessible to the User
Image URL: https://huggingface.co/proxy/evalstate-flux1-schnell.hf.space/gradio_api/file=/tmp/gradio/3dbddc0e53b5a865ed56a4e3dbdd30f3f61cf3b8aabf1b456f43e5241bd968b8/image.webp
380576952

I have generated an image of a cat on the moon using the Flux 1 Schnell Image Generator. The image is 1024x1024 pixels and was created with 4 inference steps. Let me know if you would like to make any changes or need further assistance!
Update on GitHub