fix: init model_keys to prevent error on task flows without model config#31
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fix: init model_keys to prevent error on task flows without model config#31
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Pull Request Overview
This PR fixes an UnboundLocalError that occurs when starting a task flow without a model configuration by initializing the model_keys variable.
- Initializes
model_keysto an empty list before conditional logic to preventUnboundLocalError
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Comment on lines
+433
to
436
| model_keys = [] | ||
| if model_config: | ||
| model_dict = available_tools.model_config.get(model_config, {}) | ||
| if not model_dict: |
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While initializing model_keys = [] prevents the UnboundLocalError, the code after line 436 likely assigns a value to model_keys from model_dict. Without seeing the complete conditional block, verify that the code correctly handles the case where model_keys remains an empty list when model_config is absent or invalid, as downstream code may expect model_keys to contain specific values.
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init model_keys to prevent "UnboundLocalError: cannot access local variable 'model_keys' where it is not associated with a value" when starting a task flow without model config.