agentscope-ai/agentscope · error · ValueError

Unsupported media type {media_type!r} in DataBlock. Expected

Error message

Unsupported media type {media_type!r} in DataBlock. Expected image/* or video/*.

What it means

_format_data_block only knows how to map image/* (base64 or URL) and video/* (URL) media types to DashScope's multimodal format; any other media_type in a DataBlock raises ValueError listing the unsupported type.

Source

Thrown at src/agentscope/embedding/_dashscope/_model.py:526

        media_type = source.media_type

        if media_type.startswith("video/"):
            if not isinstance(source, URLSource):
                raise ValueError(
                    "Multimodal embedding API only supports URL input "
                    f"for video data, got {type(source).__name__}.",
                )
            return {"video": str(source.url)}

        if media_type.startswith("image/"):
            if isinstance(source, Base64Source):
                return {
                    "image": f"data:{media_type};" f"base64,{source.data}",
                }
            if isinstance(source, URLSource):
                return {"image": str(source.url)}

        raise ValueError(
            f"Unsupported media type {media_type!r} in DataBlock. "
            f"Expected image/* or video/*.",
        )

View on GitHub (pinned to e90f1c7592)

Solutions

1. Filter DataBlocks to image/* and video/* before calling the model
2. Use a document/audio-specific embedding or conversion pipeline for other media types
3. Set correct media_type values when building DataBlocks

Example fix

# before
await model(blocks)  # blocks may contain audio/pdf
# after
ok = [b for b in blocks if b.source.media_type.startswith(("image/", "video/"))]
await model(ok)

blocks = [b for b in blocks if b.source.media_type.startswith((\"image/\", \"video/\"))]

def is_supported_media(block) -> bool:\n    return block.source.media_type.startswith((\"image/\", \"video/\"))

try:\n    await model(blocks)\nexcept ValueError as e:\n    if \"Unsupported media type\" in str(e): blocks = [b for b in blocks if is_supported_media(b)]; await model(blocks)\n    else: raise

When it happens

Trigger: Passing a DataBlock whose source.media_type is audio/*, application/pdf, text/plain, etc., to the multimodal embedding model.

Common situations: Feeding generic attachments (PDFs, audio) from a document pipeline into the embedding model; defaulting media_type incorrectly when constructing DataBlocks.

Related errors

• Invalid input: {item!r}. Expected str or DataBlock.
• DashScope multimodal embedding API error: {res}
• Multimodal embedding API only supports URL input for video d
• Text embedding model {self.model!r} only accepts str inputs,
• DashScope text embedding API error: {response}

AI-assisted analysis of agentscope-ai/agentscope@e90f1c7592 (2026-08-28). Data as JSON: /api/errors/4c7697e94a50474d. Report an issue: GitHub.