Analyze one or more images with a vision model.

Works for photos, screenshots, UI layouts, charts, plots, schematics, etc. For text extraction prefer vision_ocr.

Args: images: Image references. Each item may be an http(s) URL, a local file path, or a data:image/...;base64,... data URI. prompt: The question or instruction for the vision model. Be as specific as possible (e.g. "What does this chart show? List the axes and trends."). model: Optional model name override (e.g. glm-4.6v). Defaults to the server's configured VISION_MODEL. max_tokens: Optional cap on the response length. thinking: Enable the reasoning chain (Zhipu glm-4.6v+; ignored by other providers that don't support it). Useful for complex charts/docs.

Returns: The model's text answer.

Extract all text from one or more images (OCR via vision model).

Args: images: Image references (http(s) URL, local file path, or data URI).

Returns: The extracted text.

Understand one or more videos with a vision model.

Args: videos: Video references. Each item may be an http(s) URL, a local file path (mp4/mov/avi/mkv/webm/...), or a data:video/...;base64 data URI. prompt: The question or instruction, e.g. "Summarize what happens in this video." / "At which second does the person enter the frame?". For temporal questions be explicit about time points. model: Optional model name override (e.g. glm-4.6v). Defaults to the server's configured VISION_MODEL. max_tokens: Optional cap on the response length. thinking: Enable the reasoning chain (Zhipu glm-4.6v+; ignored by other providers that don't support it). Useful for complex charts/docs.

Returns: The model's text answer.

Ask questions about documents (pdf/doc/docx/xls/xlsx/ppt/pptx/txt/md/csv).

Great for reports, papers, spec sheets, and extracting data from complex tables and charts embedded in documents.

Args: files: Document references. Each item may be an http(s) URL, a local file path, or a data:application/...;base64 data URI. prompt: The question or instruction, e.g. "Summarize the key findings." / "What is the maximum value in the table on page 2?". model: Optional model name override (e.g. glm-4.6v). Defaults to the server's configured VISION_MODEL. max_tokens: Optional cap on the response length. thinking: Enable the reasoning chain (Zhipu glm-4.6v+; ignored by other providers that don't support it). Useful for complex charts/docs.

Returns: The model's text answer.