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Dify version

1.13.3

Plugin version

0.1.41

Cloud or Self Hosted

Self Hosted (Source)

Steps to reproduce

1. Configure a model (e.g., multimodal-embedding-v1) that has a valid YAML configuration file in its directory.
2. The YAML file contains valid definitions, specifically including 'features': ['vision'].
3. Trigger the logic that calls the _is_vision_model method to check if the model supports vision features.
4. Observe the console output and the returned value.

✔️ Error log

The method always returns False for vision models, completely ignoring the actual content of the YAML file.

This is caused by a logic flaw in the _is_vision_model method. When the YAML file is successfully parsed and the if condition for 'vision' is met, it correctly sets vision_models[model] = True. However, the code execution continues out of the try...except block, where an unconditional vision_models[model] = False overwrites the previously assigned True value.

As a result, any model with a valid YAML configuration is falsely flagged as not having vision capabilities, which breaks downstream multimodal features.