Implement V2 AI functions and enhance progress handling
- Added support for new V2 functions: `auto_cluster_v2` and `generate_ideas_v2`, including backend logic and API endpoints. - Updated model configuration to ensure V2 functions validate the presence of models before execution. - Enhanced progress modal to provide better feedback during asynchronous tasks, including task IDs for debugging. - Updated frontend components to integrate new V2 functionalities and improve user experience with clustering and idea generation.
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@@ -82,10 +82,8 @@ class AIEngine:
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ai_core = AICore(account=self.account)
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function_name = fn.get_name()
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# Generate function_id for tracking (ai-{function_name}-01)
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# Normalize underscores to hyphens to match frontend tracking IDs
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function_id_base = function_name.replace('_', '-')
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function_id = f"ai-{function_id_base}-01-desktop"
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# Generate function_id for tracking (ai_{function_name})
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function_id = f"ai_{function_name}"
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# Get model config from settings (Stage 4 requirement)
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# Pass account to read model from IntegrationSettings
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@@ -111,6 +109,18 @@ class AIEngine:
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exc_info=True,
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)
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# For V2 functions: Validate model exists - no default, only execute if model is present
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if function_name.endswith('_v2'):
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if not model_from_integration or not model:
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error_msg = "AI model not configured. Please configure OpenAI model in Integration settings."
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self.console_tracker.error('ModelError', error_msg)
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self.step_tracker.add_request_step("PREP", "error", error_msg)
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self.tracker.error(error_msg, meta=self.step_tracker.get_meta())
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return {
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'success': False,
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'error': error_msg
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}
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# Track configured model information so it shows in the progress modal
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self.step_tracker.add_request_step(
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"PREP",
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