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- Implement BaseComponent with async lifecycle and context management - Add ApplicationContext for managing component initialization and registry - Create Application class for orchestrating job execution and lifecycle - Add AS LLM components with OpenAI chat model wrapper - Implement AS LLM formatter components with OpenAI formatter - Add client implementations including base, HTTP and ReMe clients - Create embedding model base class with caching and batching support - Implement file store base class with vector and full-text search - Add file watcher components for monitoring file system changes - Create job components for executing workflows - Implement service components for exposing jobs via different protocols - Add configuration schema with ApplicationConfig and ComponentConfig - Include utility modules for case conversion, chunking, logging and similarity - Register component types and create component registry system |
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| .. | ||
| as_llm | ||
| as_llm_formatter | ||
| client | ||
| embedding | ||
| file_store | ||
| file_watcher | ||
| job | ||
| service | ||
| __init__.py | ||
| application_context.py | ||
| base_component.py | ||
| base_step.py | ||
| component_registry.py | ||
| prompt_handler.py | ||
| runtime_context.py | ||