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README.md

GitHub Avatar Frame Generator

Generate a themed frame around any public GitHub avatar with the free GitHub Avatar Frame API. The tool returns base64 image data and a set of URLs so callers can choose the destination they need.

Parameters

Parameter Type Required Description
username string Yes GitHub username whose avatar will be framed
theme string No Frame theme. Names are loaded from the upstream public/frames directory at runtime (default base)
size integer No Image size from 64 to 1024 pixels (default 256)
canvas string No light, dark, or transparent (default light)
shape string No circle, rounded, or rect (default circle)
radius integer No Corner radius for rounded or rect (default 25)
output_format string No png, jpg, or svg (default png)
text string No Text overlay
text_color string No Hexadecimal text color (default #ffffff)
text_size integer No Text size from 8 to 100 pixels (default 20)
text_position string No top, bottom, or center (default bottom)
emojis string No Comma-separated emoji overlays
emoji_size integer No Emoji size from 16 to 120 pixels (default 40)
emoji_position string No top, bottom, or corners (default top)

Installation & Setup

pip install -r requirements.txt

No API key is required. This tool calls the public GitHub Avatar Frame API and looks up current frame-directory names from the upstream GitHub repository. If GitHub is temporarily unavailable, generation still proceeds and the Avatar Frame API remains the final authority on valid theme names.

Returned URLs

The data.urls object contains these choices:

Key Destination
generated_framed_avatar The generated framed image with all selected options
original_github_avatar The original, unframed GitHub avatar image
github_profile The user's GitHub profile page
frame_catalog The upstream directory containing current frame themes
frame_api The GitHub Avatar Frame API base endpoint
source_repository The upstream GitHub Avatar Frame API repository

Usage Example

from tool import run_tool

result = run_tool(
    username="octocat",
    theme="flamingo",
    size=512,
    canvas="dark",
    shape="rounded",
    radius=24,
    text="Open Source",
    emojis="🚀,💻",
    emoji_position="corners",
)

if result["success"]:
    for url_type, url in result["data"]["urls"].items():
        print(f"{url_type}: {url}")

    import base64
    with open("octocat-frame.png", "wb") as image_file:
        image_file.write(base64.b64decode(result["data"]["image_base64"]))