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- Updated TrainingProgress component to handle cloud training progress data and job ID. - Modified trainExposureModel to allow nullable path and added optional stageName. - Enhanced useSSE hook to support cloud model inference with new parameters. - Introduced CloudProgressData type to align cloud training progress with local training structure. - Implemented cloud inference request handling with local knowledge retrieval in cloudService. - Added utility functions for managing active cloud model state in cloudModelUtils. - Updated cloud inference endpoint to support local knowledge retrieval before cloud inference. - Refactored advanced chat service to utilize new message structure for cloud inference. - Enhanced prompt strategies to incorporate knowledge retrieval based on user messages. |
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| .. | ||
| __init__.py | ||
| advanced_chat_service.py | ||
| advanced_prompt_strategies.py | ||
| chat_service.py | ||
| knowledge_service.py | ||
| message_builder.py | ||
| prompt_builder.py | ||
| role_service.py | ||