HKUDS/nanobot · error · ImageGenerationError

unsupported reference image: {p}

Error message

unsupported reference image: {p}

What it means

Error "unsupported reference image: {p}" thrown in HKUDS/nanobot.

Source

Thrown at nanobot/providers/image_generation.py:103

def _as_json_object(value: object) -> dict[str, Any] | None:
    """Narrow an untrusted provider response value to a JSON object."""
    return cast(dict[str, Any], value) if isinstance(value, dict) else None


def _as_json_objects(value: object) -> list[dict[str, Any]]:
    """Return object entries from an untrusted provider response array."""
    if not isinstance(value, list):
        return []
    return [cast(dict[str, Any], item) for item in cast(list[object], value) if isinstance(item, dict)]


def _read_image_b64(path: str | Path) -> tuple[str, str]:
    """Return ``(mime, base64)`` for the image at ``path``."""
    p = Path(path).expanduser()
    raw = p.read_bytes()
    mime = detect_image_mime(raw)
    if mime is None:
        raise ImageGenerationError(f"unsupported reference image: {p}")
    return mime, base64.b64encode(raw).decode("ascii")


def image_path_to_data_url(path: str | Path) -> str:
    """Convert a local image path to an image data URL."""
    mime, encoded = _read_image_b64(path)
    return f"data:{mime};base64,{encoded}"


def image_path_to_inline_data(path: str | Path) -> dict[str, str]:
    """Convert a local image path to a Gemini ``inlineData`` payload dict."""
    mime, encoded = _read_image_b64(path)
    return {"mimeType": mime, "data": encoded}


def _b64_image_data_url(value: str) -> str:
    encoded = "".join(value.split())
    try:

View on GitHub (pinned to 42f37dc4c0)

When it happens

Trigger: Thrown at nanobot/providers/image_generation.py:103 when the library encounters an invalid state.

Common situations: See trigger scenarios.

AI-assisted analysis of HKUDS/nanobot@42f37dc4c0 (2026-08-26). Data as JSON: /api/errors/737b9fae19f98f21. Report an issue: GitHub.