feat: added intelligence_score to the model capabilities schema; a 1-20 number that can be specified to influence the sort order of models presented to the CLI in auto selection mode
fix: model definition re-introduced into the schema but intelligently and only a summary is generated per tool. Required to ensure CLI calls and uses the correct model fix: removed `model` param from some tools where this wasn't needed fix: fixed adherence to `*_ALLOWED_MODELS` by advertising only the allowed models to the CLI fix: removed duplicates across providers when passing canonical names back to the CLI; the first enabled provider wins
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@@ -139,12 +139,16 @@ class WorkflowTool(BaseTool, BaseWorkflowMixin):
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Returns:
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Complete JSON schema for the workflow tool
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"""
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requires_model = self.requires_model()
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model_field_schema = self.get_model_field_schema() if requires_model else None
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auto_mode = self.is_effective_auto_mode() if requires_model else False
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return WorkflowSchemaBuilder.build_schema(
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tool_specific_fields=self.get_tool_fields(),
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required_fields=self.get_required_fields(),
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model_field_schema=self.get_model_field_schema(),
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auto_mode=self.is_effective_auto_mode(),
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model_field_schema=model_field_schema,
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auto_mode=auto_mode,
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tool_name=self.get_name(),
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require_model=requires_model,
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)
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def get_workflow_request_model(self):
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